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Transcript

The One And Only Groceryshop Must-See Tech Preview · Omni Talk Retail

0:00
Foreign.
0:09
Hello
0:10
everyone.
0:10
Welcome
0:11
to
0:11
what
0:11
is
0:11
now
0:11
our
0:12
second
0:12
grocery
0:12
Shop
0:13
Must
0:13
see
0:13
Tech
0:14
Preview,
0:14
in
0:14
which
0:14
Ann
0:15
and
0:15
I
0:15
have
0:15
selected
0:16
a
0:17
handful
0:17
of
0:17
companies
0:17
that
0:18
we
0:18
think
0:18
should
0:19
be
0:19
on
0:19
your
0:19
radar
0:19
screen
0:20
because
0:20
each
0:20
of
0:20
them
0:21
highlights
0:21
how
0:21
the
0:21
future
0:22
of
0:22
grocery
0:22
is
0:23
changing.
0:24
And
0:25
we
0:25
are
0:25
going
0:25
to
0:25
take
0:26
an
0:26
outside
0:26
in
0:27
approach
0:27
today,
0:27
starting
0:28
with
0:28
companies
0:28
and
0:29
entrepreneurs
0:29
doing
0:30
fascinating
0:30
things
0:31
in
0:31
the
0:31
e
0:31
commerce
0:31
commerce
0:32
space
0:32
and
0:32
then
0:33
moving
0:33
into
0:33
store
0:34
operations
0:34
and
0:35
negotiations.
0:36
That's
0:37
right,
0:37
Chris.
0:37
I
0:37
cannot
0:38
wait
0:38
to
0:38
get
0:38
started.
0:39
We
0:39
also
0:40
want
0:40
to
0:40
give
0:40
you
0:40
all
0:41
who
0:41
are
0:41
joining
0:41
us
0:41
live
0:42
today
0:42
a
0:42
quick
0:42
reminder
0:43
that
0:44
you
0:44
can
0:44
ask
0:44
questions
0:45
of
0:45
any
0:45
of
0:46
our
0:46
featured
0:46
companies
0:47
here
0:48
via
0:48
the
0:48
chat
0:48
session
0:49
window
0:49
on
0:50
the
0:50
right
0:50
side
0:50
of
0:50
your
0:50
screen.
0:51
We
0:51
want
0:51
to
0:51
make
0:51
sure
0:51
we
0:52
keep
0:52
this
0:52
as
0:52
interactive
0:53
and
0:53
educational
0:54
as
0:54
possible.
0:56
All
0:56
right,
0:56
Chris,
0:56
who
0:57
do
0:57
we
0:57
have
0:57
first?
0:59
All
0:59
right,
1:00
and
1:00
up
1:00
first,
1:00
we
1:00
got
1:00
a
1:01
company
1:01
doing
1:01
some
1:01
pretty
1:02
interesting
1:02
things
1:02
in
1:02
the
1:03
grocery
1:03
pricing
1:03
and
1:04
transparency
1:04
space
1:05
and
1:05
whose
1:05
aim
1:05
is
1:06
to
1:06
allow
1:06
shoppers
1:07
to
1:07
get
1:07
the
1:07
groceries
1:07
they
1:08
want
1:08
at
1:08
the
1:09
most
1:09
affordable
1:09
price.
1:10
So
1:10
please
1:10
join
1:10
us
1:10
in
1:11
welcoming
1:11
Michael
1:11
Waldrip,
1:12
the
1:12
CEO
1:13
and
1:13
co
1:13
founder
1:13
of
1:14
Grocery
1:14
Deals.
1:14
Michael,
1:15
welcome
1:15
to
1:15
omnitalk.
1:16
Thanks
1:17
guys.
1:17
Thanks
1:17
for
1:17
having
1:17
me.
1:19
Now,
1:19
Michael,
1:19
we
1:20
covered
1:20
Grocery
1:21
Deals
1:21
on
1:21
the
1:21
podcast
1:22
not
1:22
too
1:23
long
1:23
ago
1:23
when
1:23
you
1:24
were
1:24
in
1:24
the
1:24
headlines
1:25
for
1:25
being
1:26
the
1:26
gas
1:27
Buddy
1:27
app
1:28
for
1:28
groceries.
1:29
But
1:29
I
1:29
want
1:29
to
1:29
hear
1:30
direct
1:30
from
1:30
your
1:31
mouth,
1:31
like,
1:31
what
1:32
is
1:32
Grocery
1:33
Deals
1:33
and
1:33
how
1:34
does
1:34
it
1:34
work
1:34
for
1:34
me
1:35
as
1:35
a
1:35
grocery
1:35
shopping
1:36
consumer?
1:37
Yeah,
1:38
no,
1:38
great
1:38
question.
1:39
So
1:40
Grocery
1:40
Deals
1:41
is
1:41
a
1:41
grocery
1:42
comparison
1:43
app.
1:44
We
1:44
are
1:44
the,
1:45
we
1:46
are
1:46
live
1:46
in
1:46
Texas
1:47
right
1:47
now
1:47
and
1:48
we
1:48
have
1:48
plans
1:48
to
1:49
expand
1:49
nationally.
1:51
And
1:51
what
1:51
can
1:51
I
1:52
do
1:52
as
1:52
a
1:52
customer?
1:52
Like
1:53
how
1:53
if
1:53
I
1:53
go
1:53
to
1:54
grocerydeals.com,
1:55
walk
1:56
me
1:56
through
1:56
what
1:56
the
1:57
process
1:57
looks
1:58
like.
1:58
Yeah,
1:59
it's
1:59
actually
1:59
really,
2:00
it's
2:00
a
2:00
really
2:00
simple
2:01
user
2:01
experience.
2:02
So
2:02
you
2:03
select
2:03
your
2:03
location
2:05
and
2:05
then
2:05
you
2:06
select
2:06
the
2:07
store
2:07
that
2:07
you
2:07
want
2:07
to
2:07
start
2:08
a
2:08
list
2:08
with.
2:09
You
2:09
choose
2:09
your,
2:10
you
2:10
search,
2:10
you
2:11
choose
2:11
your
2:11
items.
2:11
We
2:11
have
2:12
some
2:12
featured
2:12
items
2:12
in
2:13
there
2:13
that
2:13
you
2:13
can
2:14
add
2:14
to
2:14
your
2:14
cart.
2:15
And
2:15
then
2:15
you
2:15
hit
2:16
a
2:16
button
2:16
that
2:16
says
2:16
let's
2:17
compare.
2:18
And
2:18
then
2:18
it
2:19
takes
2:19
you
2:19
to
2:19
our
2:20
substitution
2:20
page,
2:21
which
2:21
you
2:22
can
2:23
choose
2:23
your
2:23
best
2:23
choice.
2:24
You
2:25
can
2:25
choose
2:25
different
2:25
products
2:27
and
2:27
such.
2:27
And
2:28
then
2:28
once
2:28
you
2:29
are
2:30
good
2:30
with
2:30
all
2:30
your
2:31
choices,
2:32
you
2:32
hit
2:32
the
2:33
I
2:33
agree
2:33
with
2:34
the
2:34
substitutions.
2:35
And
2:35
then
2:36
you
2:36
compare
2:36
your
2:37
prices
2:37
and
2:37
you
2:37
will
2:38
see
2:38
the
2:38
itemized
2:39
breakdown
2:39
and
2:40
total
2:40
balances
2:41
of
2:41
all
2:42
the
2:42
items
2:42
that
2:43
you
2:43
have
2:43
selected
2:44
for
2:44
the
2:44
multiple
2:45
stores
2:46
that
2:46
are
2:46
around
2:46
you.
2:47
So
2:47
if
2:48
I'm
2:48
understanding
2:48
this
2:48
right,
2:49
then
2:49
I
2:49
can
2:49
upload
2:50
my
2:50
weekly
2:50
shopping
2:51
list,
2:51
all
2:51
the
2:51
items
2:52
that
2:52
I'm
2:52
getting
2:53
go
2:53
to
2:53
the
2:53
grocer
2:54
that
2:54
I
2:54
most
2:55
familiar
2:55
with.
2:55
And
2:56
then
2:56
I
2:56
click
2:56
this
2:57
button
2:57
and
2:57
you're
2:58
showing
2:58
me
2:59
alternative
2:59
products,
3:00
like
3:00
even
3:00
own
3:01
brand
3:01
products
3:01
that
3:01
might
3:01
be
3:02
less
3:02
expensive,
3:02
and
3:03
then
3:03
also
3:03
other
3:04
retailers
3:04
carrying
3:05
the
3:05
same
3:05
products.
3:05
Is
3:06
that
3:06
right?
3:07
Yes.
3:08
So,
3:08
yeah,
3:09
so
3:09
that's
3:10
exactly
3:10
what
3:10
we
3:10
do.
3:11
And
3:11
you're
3:11
able
3:12
to.
3:12
You're
3:12
able
3:12
to
3:12
see
3:14
the
3:14
price
3:14
breakdown.
3:15
Awesome.
3:16
Yeah.
3:17
Michael,
3:17
how
3:17
did
3:17
this
3:17
idea
3:18
come
3:18
to
3:18
you?
3:18
Because
3:18
in
3:19
a
3:19
lot
3:19
of
3:19
ways,
3:19
I'm
3:19
sitting
3:20
back
3:20
here,
3:20
I'm
3:20
like,
3:21
yeah,
3:21
this
3:21
just
3:21
makes
3:21
sense.
3:22
I
3:22
want
3:22
to
3:22
see
3:22
price
3:23
comparison
3:23
across
3:23
groceries
3:24
because
3:24
groceries
3:24
is
3:25
such
3:25
a
3:25
big
3:25
line
3:26
item
3:26
in
3:26
my
3:26
monthly
3:27
budget.
3:27
And,
3:27
you
3:27
know,
3:27
I
3:28
can
3:28
do
3:28
that
3:28
for
3:28
airfare,
3:29
I
3:29
can
3:29
do
3:29
that
3:29
for
3:30
gas,
3:30
like
3:30
Ann
3:31
alluded
3:31
to
3:31
in
3:31
the
3:31
beginning.
3:31
How
3:32
did
3:32
this
3:32
come
3:32
to
3:32
you?
3:34
So
3:35
just
3:36
doing
3:36
my
3:36
daily
3:37
or
3:37
my
3:37
weekly
3:38
shopping,
3:39
you
3:39
know,
3:39
I'm
3:39
a
3:40
serial
3:40
entrepreneur.
3:41
So
3:41
I
3:42
just
3:42
started
3:42
thinking,
3:43
you
3:43
know,
3:43
and
3:43
talking
3:44
to
3:44
other
3:44
friends,
3:45
you
3:46
know,
3:46
about
3:46
grocery
3:47
comparison,
3:48
and
3:48
it's
3:49
really
3:49
a
3:49
common
3:49
sense
3:50
approach.
3:51
And
3:51
so
3:51
I
3:51
decided,
3:52
well,
3:52
you
3:52
know,
3:53
I
3:53
started
3:54
looking
3:54
up
3:55
to
3:55
see
3:55
if
3:56
there's
3:56
any
3:56
grocery
3:56
comparison
3:57
apps
3:57
or
3:58
websites
3:58
out
3:58
there.
3:59
There
3:59
wasn't.
4:00
And
4:00
in
4:01
the
4:01
true
4:01
entrepreneurial
4:02
spirit,
4:02
I
4:03
decided
4:03
to
4:04
just
4:04
create
4:05
it
4:05
myself.
4:05
Make
4:06
it
4:06
yourself.
4:06
Make
4:07
it
4:07
myself.
4:08
Well,
4:09
I
4:09
know.
4:10
I'm
4:10
thankful
4:10
that
4:11
you
4:11
did.
4:12
It's
4:12
not
4:12
quite
4:13
in
4:13
Minneapolis
4:13
yet,
4:14
but
4:14
I'm
4:14
crossing
4:14
my
4:14
fingers
4:15
for
4:15
the
4:15
date
4:15
that
4:16
it
4:16
will
4:16
be
4:16
here.
4:17
Where
4:18
is
4:18
the
4:18
business
4:18
now,
4:19
Michael?
4:19
Like,
4:19
tell
4:19
us
4:20
a
4:20
little
4:20
bit
4:20
about
4:21
what
4:21
locations
4:22
you're
4:22
serving,
4:22
what
4:23
retailers
4:23
I
4:23
might
4:24
see
4:24
if
4:24
I'm
4:25
in
4:25
those
4:25
locations.
4:26
Kind
4:27
of
4:27
give
4:27
us
4:27
a
4:27
lay
4:28
of
4:28
the
4:28
land
4:28
for
4:28
where
4:28
things
4:29
are
4:29
at
4:29
the
4:29
current.
4:30
Current
4:30
moment.
4:32
Yeah.
4:32
So
4:33
we're
4:33
currently
4:34
live
4:34
in
4:34
Texas
4:35
for
4:36
our
4:36
beta
4:37
version.
4:38
We
4:38
will
4:38
be
4:38
rolling
4:39
out
4:39
nationally
4:40
in
4:40
the
4:40
very
4:40
near
4:41
future.
4:42
And
4:42
the
4:42
retailers
4:43
that
4:43
you're
4:43
going
4:43
to
4:43
see
4:44
are,
4:45
you
4:45
know,
4:45
big
4:45
box
4:45
brands
4:46
like
4:46
Walmart,
4:47
Kroger,
4:47
Albertsons.
4:49
You
4:49
will
4:49
see,
4:50
you
4:50
know,
4:50
the
4:50
smaller
4:50
ones,
4:51
you
4:51
know,
4:51
Brookshire's
4:52
and
4:53
such,
4:53
but
4:54
we,
4:54
we
4:54
have
4:55
pretty
4:55
much
4:56
90%
4:57
of
4:57
them.
4:59
Michael,
4:59
how
4:59
do
4:59
you,
4:59
how
5:00
do
5:00
you
5:00
work
5:00
to
5:00
get
5:01
the
5:01
grocers
5:02
on
5:02
the
5:02
platform?
5:02
Like,
5:03
is
5:03
this
5:03
something
5:03
that
5:03
they're.
5:04
You're
5:04
partnering
5:04
with
5:05
them
5:05
on?
5:05
Is
5:05
it
5:05
something
5:06
you're
5:06
doing
5:06
on
5:06
your
5:07
own?
5:07
Like,
5:07
you
5:08
know,
5:08
because
5:08
part
5:08
of
5:09
me
5:09
as
5:09
a
5:09
former
5:09
retailer
5:10
is
5:10
like,
5:10
man,
5:10
you
5:10
know
5:11
what?
5:11
I
5:11
want
5:11
to
5:11
be
5:11
on
5:12
this
5:12
platform.
5:12
I
5:12
think
5:12
that's
5:13
probably
5:13
a
5:13
question
5:13
a
5:13
lot
5:13
of
5:13
them
5:14
are
5:14
asking
5:14
themselves,
5:14
but
5:14
some
5:15
of
5:15
them
5:15
probably
5:15
like,
5:15
yeah,
5:16
I
5:16
do,
5:16
because
5:16
I
5:16
want
5:17
to
5:17
take
5:17
the
5:17
Pepsi
5:18
Challenge,
5:18
for
5:18
lack
5:18
of
5:19
a
5:19
better
5:19
way,
5:19
and
5:19
show
5:19
my
5:20
prices
5:20
to
5:20
people.
5:21
So.
5:21
So,
5:21
yeah,
5:22
how
5:22
do
5:22
you
5:22
think
5:22
about
5:22
all
5:23
that?
5:24
Yeah,
5:25
so.
5:25
Well,
5:26
so
5:26
we,
5:26
we
5:26
do
5:26
have
5:27
a
5:27
third
5:27
party
5:27
data
5:27
company
5:27
that
5:28
we
5:28
do,
5:28
we
5:28
do
5:28
use
5:29
and
5:30
we,
5:31
so
5:31
we,
5:31
we
5:31
do
5:32
use
5:32
them
5:32
and
5:33
that's
5:33
where
5:33
we
5:33
get
5:33
our
5:33
pricing
5:34
from.
5:35
The
5:36
we,
5:36
we
5:36
would
5:37
like
5:37
the
5:37
direct
5:37
pricing.
5:38
We
5:38
think
5:38
it's
5:39
more
5:39
beneficial
5:39
for
5:40
retailers
5:40
just
5:41
since
5:41
we
5:41
have
5:43
the
5:43
live
5:43
up
5:43
to
5:44
date
5:44
pricing
5:45
for
5:45
them.
5:45
You
5:45
might
5:45
as
5:46
well
5:46
just
5:46
send
5:46
us
5:47
a
5:48
feed
5:48
of
5:48
your
5:48
pricing
5:49
so
5:49
we
5:49
can
5:49
have
5:50
what
5:50
you
5:51
have,
5:51
you
5:51
know,
5:51
in
5:52
your
5:52
store
5:53
and,
5:53
and
5:54
to
5:54
stay
5:54
more
5:55
competitive
5:55
amongst
5:56
everybody
5:56
else.
5:58
Right,
5:58
but
5:58
that
5:58
makes,
5:59
makes
5:59
sense.
5:59
Go
6:00
ahead.
6:00
No,
6:01
but
6:01
I
6:01
think
6:01
that,
6:01
you
6:02
know,
6:02
once,
6:03
you
6:03
know,
6:04
once
6:04
we
6:05
start
6:06
getting
6:07
the
6:08
live
6:09
pricing,
6:10
you'll
6:10
see,
6:10
you'll
6:11
see
6:12
just
6:12
really
6:14
more
6:14
honed
6:14
in
6:15
comparisons.
6:16
But
6:17
you
6:18
know,
6:18
right
6:19
now
6:19
for
6:19
the
6:19
price
6:19
and
6:19
that
6:20
we
6:20
structure
6:20
that
6:20
we
6:20
do
6:21
have
6:21
is
6:21
really,
6:22
really
6:22
good.
6:23
Yeah,
6:24
we
6:24
tested
6:25
it
6:25
ourselves.
6:25
It
6:25
was
6:26
really
6:26
impressive.
6:26
Especially
6:27
I
6:27
think
6:27
as
6:28
somebody
6:28
who
6:29
already
6:29
has
6:30
multiple
6:30
grocers
6:31
that
6:31
they're
6:31
stopping
6:32
at
6:33
because
6:33
things
6:33
like
6:34
eggs
6:34
or
6:35
milk,
6:35
like
6:35
those
6:35
prices
6:36
vary
6:36
all
6:37
the
6:37
time.
6:37
And
6:38
it's,
6:38
it's
6:39
so
6:39
awesome
6:40
because
6:40
one
6:41
thing
6:41
that
6:41
you
6:41
didn't
6:42
mention
6:42
yet,
6:42
Michael,
6:43
is
6:43
that
6:43
you're
6:44
able
6:44
to
6:44
also
6:45
purchase
6:45
from
6:46
multiple
6:46
retailers
6:47
in
6:47
one
6:47
checkout.
6:48
Right.
6:48
So
6:49
like
6:49
I
6:49
can
6:49
still
6:50
shop
6:50
my
6:50
three
6:51
favorite
6:51
stores
6:51
for
6:52
different
6:52
products,
6:54
but
6:54
all
6:54
in
6:55
one
6:55
spot.
6:55
Now
6:56
is
6:56
that,
6:56
is
6:56
that
6:57
something
6:57
that
6:57
you're
6:58
working
6:58
on
6:58
and
6:59
working
6:59
to
6:59
expand,
7:00
expand
7:00
as
7:00
you
7:01
grow
7:01
into
7:02
more
7:02
categories
7:03
and
7:03
more
7:03
areas?
7:05
Yeah.
7:06
So
7:06
yes,
7:07
the
7:07
way
7:07
it
7:07
works
7:07
is,
7:08
you
7:08
know,
7:09
we,
7:09
we
7:09
want
7:09
to
7:10
try
7:10
to
7:10
send
7:11
a
7:12
user
7:13
to
7:13
one
7:14
store
7:14
if
7:14
they
7:14
can.
7:15
Now
7:15
how
7:15
can
7:16
you,
7:16
can
7:16
you
7:17
compare
7:17
just
7:18
your
7:18
meats
7:18
and
7:19
then
7:19
decide
7:19
I'm
7:19
going
7:20
to
7:20
go
7:20
pick
7:20
up
7:20
my
7:20
meats
7:20
at
7:21
this
7:21
one.
7:21
Yes.
7:22
And
7:22
then
7:22
you
7:22
can
7:22
go
7:22
back
7:23
out
7:23
and
7:23
you
7:23
can
7:23
put
7:23
in
7:24
your,
7:24
you
7:25
know,
7:25
all
7:25
your
7:25
CPG
7:26
brands
7:26
and
7:26
then,
7:27
you
7:27
know,
7:27
and
7:27
then
7:27
you
7:28
can
7:28
do
7:28
that
7:28
and
7:28
then
7:28
maybe,
7:29
maybe
7:29
you
7:29
just
7:29
want
7:30
to
7:30
get
7:30
milk
7:30
and
7:30
eggs
7:31
somewhere
7:31
else.
7:32
You
7:32
can
7:32
compare
7:33
that.
7:33
It's
7:33
three
7:33
separate
7:34
processes.
7:35
But
7:35
with
7:35
our
7:35
process
7:36
it's
7:37
really
7:37
fast.
7:38
Right.
7:38
It's
7:39
much
7:39
faster
7:39
than
7:40
driving
7:40
to
7:40
and
7:41
shopping
7:41
each
7:42
one
7:42
of
7:42
those
7:42
retailers,
7:43
especially
7:44
with
7:44
things
7:44
like
7:44
curbside
7:45
pickup,
7:45
I
7:45
imagine,
7:46
or
7:46
even
7:46
delivery
7:47
for
7:47
some
7:47
of
7:47
those
7:48
options.
7:48
To
7:49
be
7:49
able
7:49
to
7:49
kind
7:49
of
7:50
pick
7:50
and
7:50
choose
7:50
like
7:51
where
7:51
I
7:51
can
7:51
go
7:51
and
7:52
how
7:52
I
7:52
can
7:52
check
7:52
out
7:53
most
7:53
quickly
7:53
and
7:54
save
7:54
all
7:54
this
7:54
money.
7:54
It's
7:55
really,
7:55
really
7:55
cool.
7:56
Exactly,
7:57
exactly.
7:58
Yeah.
7:58
Or
7:58
having
7:59
five
7:59
or
7:59
six
7:59
browsers
8:00
open
8:00
to
8:00
compare
8:01
if
8:01
I'm,
8:01
you
8:01
know,
8:01
the
8:01
true
8:02
digital
8:02
shopper,
8:03
you
8:03
know,
8:03
as
8:03
well,
8:03
like
8:03
it's
8:04
just
8:04
faster
8:04
than
8:04
that
8:04
too.
8:05
So.
8:05
Right.
8:05
So,
8:06
so
8:06
where
8:06
do
8:06
things
8:06
go
8:07
next
8:07
with
8:07
this,
8:07
though?
8:07
Like,
8:08
what's
8:08
your
8:08
vision
8:08
of,
8:08
like,
8:09
what's
8:09
your
8:09
vision
8:10
of,
8:10
like,
8:10
how
8:10
people
8:10
are
8:11
ultimately
8:11
shopping
8:11
grocery
8:12
through
8:13
a
8:13
grocery
8:13
deals
8:14
app?
8:15
So
8:15
my
8:15
vision
8:16
is
8:16
that
8:17
we
8:17
get
8:17
all
8:17
the
8:17
retailers
8:18
involved,
8:19
all,
8:19
you
8:19
know,
8:19
major
8:20
retailer,
8:20
you
8:21
know,
8:21
national
8:21
chains,
8:22
smaller
8:22
chains,
8:23
we
8:23
get
8:23
them
8:23
all
8:24
involved
8:24
and
8:25
we
8:25
sit
8:26
down
8:26
with
8:26
them
8:26
and
8:26
say,
8:27
hey,
8:28
you're
8:29
already
8:29
in
8:29
the
8:29
app.
8:30
How
8:30
can
8:31
we
8:31
drive
8:32
new
8:32
customers
8:33
to
8:33
you?
8:34
How
8:34
can
8:35
we
8:35
help
8:35
you
8:35
sustain
8:36
your
8:37
customers
8:37
that
8:37
you
8:37
have
8:38
now?
8:38
What
8:38
do
8:39
you
8:39
want
8:39
to
8:39
highlight?
8:40
Do
8:40
you
8:40
want
8:40
to
8:40
highlight
8:41
you
8:41
have
8:41
a
8:42
faster
8:42
delivery
8:43
service?
8:44
So
8:44
as
8:45
we
8:45
expand
8:46
nationally,
8:48
we're
8:48
going
8:49
to
8:49
have
8:49
conversations
8:50
with,
8:51
with
8:51
all
8:51
those
8:51
retailers
8:52
that,
8:52
you
8:53
know,
8:53
are
8:54
provided
8:54
in
8:54
those
8:55
states.
8:55
And
8:56
our
8:56
goal
8:56
is
8:57
to
8:57
really,
8:59
you
8:59
know,
9:00
drive
9:01
new
9:01
customers
9:02
and
9:03
existing
9:03
customers
9:04
back
9:04
to
9:05
those
9:05
retailers
9:06
and
9:06
just
9:06
stay
9:07
transparent
9:07
with
9:07
the
9:08
pricing.
9:09
Right.
9:11
Well,
9:11
it
9:11
makes
9:12
sense
9:12
then,
9:12
that
9:13
coming
9:13
up
9:13
here
9:13
at
9:14
Grocery
9:14
Shop
9:14
in
9:14
the
9:14
next
9:15
few
9:15
days,
9:15
you
9:15
want
9:16
to
9:16
be
9:16
meeting
9:16
with
9:17
those,
9:18
those
9:19
larger
9:19
retailers,
9:20
the
9:20
regional
9:20
grocers,
9:21
the
9:22
brands
9:22
themselves,
9:23
big
9:23
and
9:23
small.
9:24
But
9:25
if
9:25
you
9:25
could
9:25
give
9:26
people
9:26
attending
9:27
Grocery
9:27
Shop
9:27
just
9:28
one
9:28
reason
9:29
why
9:29
they
9:29
should
9:30
connect
9:30
with
9:30
you
9:31
while
9:31
they're
9:31
there,
9:32
what
9:33
would
9:33
that
9:33
be?
9:33
Michael?
9:35
We
9:35
can
9:35
make
9:35
you
9:35
more,
9:36
more
9:36
money.
9:39
Plain
9:39
and
9:39
simple
9:40
as
9:40
that.
9:41
We
9:41
can
9:41
make
9:41
you
9:42
more
9:42
money
9:42
and
9:42
we
9:43
can
9:43
make
9:43
customers
9:44
more
9:44
aware
9:44
of
9:45
what
9:45
you
9:45
have
9:45
to
9:45
offer
9:46
them.
9:46
The
9:46
other
9:47
thing
9:47
too,
9:47
Michael,
9:47
I'd
9:47
add,
9:48
is
9:48
like,
9:48
you
9:48
can
9:48
actually
9:48
also
9:49
help
9:49
them
9:49
make
9:49
more
9:50
money.
9:50
But
9:50
I
9:50
think
9:50
it's
9:50
even
9:50
like
9:51
you
9:51
can
9:51
help
9:51
them
9:52
hone
9:52
in
9:52
on
9:52
their
9:52
value
9:53
proposition
9:53
too,
9:53
because
9:54
like
9:54
you
9:54
said,
9:54
like,
9:55
price
9:55
is
9:55
one
9:56
thing,
9:56
but
9:56
there's
9:56
all
9:56
these
9:56
other
9:57
elements
9:57
of
9:57
why
9:57
people
9:58
choose
9:58
to
9:58
shop.
9:58
And
9:59
you
9:59
can
9:59
also
9:59
help
9:59
them
10:00
highlight
10:00
those,
10:00
whether
10:00
it's
10:01
quick
10:01
delivery,
10:01
whether
10:02
it's
10:02
a
10:02
loyalty
10:03
feature
10:03
as
10:03
well.
10:04
Right.
10:05
That's
10:05
the
10:05
ultimate
10:06
vision
10:06
here.
10:06
Right.
10:07
Is
10:07
giving
10:07
the
10:07
power
10:07
to
10:08
the
10:08
consumer
10:08
to
10:08
decide
10:09
why
10:10
they
10:10
want
10:10
to
10:10
shop,
10:10
where
10:11
they
10:11
want
10:11
to
10:11
shop
10:11
and
10:11
who
10:12
they
10:12
want
10:12
to
10:12
shop
10:12
with
10:13
based
10:13
on
10:13
the
10:14
true
10:14
transparent
10:15
features
10:15
that
10:15
each
10:15
of
10:15
those
10:16
grocers
10:16
offers
10:16
them.
10:17
Yep.
10:17
And
10:18
that's
10:18
why
10:18
we're
10:18
being
10:19
called
10:19
the,
10:19
the
10:20
grocery
10:20
Marketplace.
10:21
It's
10:22
kind
10:22
of
10:22
interesting,
10:22
but
10:23
we're.
10:23
We're
10:23
not
10:23
the
10:23
ones
10:23
who
10:23
started
10:24
calling
10:24
ourselves
10:24
that,
10:24
but
10:25
we're.
10:25
We
10:25
are
10:26
essentially
10:26
a
10:27
marketplace
10:27
for
10:27
groceries.
10:28
Right.
10:29
Which
10:29
is
10:29
interesting
10:29
too,
10:30
because
10:30
every
10:30
other
10:30
vertical
10:31
until
10:31
now
10:32
has
10:32
gone
10:33
this
10:33
road,
10:33
which
10:34
goes
10:34
back
10:34
to
10:34
where
10:34
your
10:35
inspiration
10:35
came
10:36
from
10:36
as
10:36
well.
10:36
So.
10:37
Wow,
10:37
man,
10:37
kudos
10:38
to
10:38
you.
10:39
It's
10:39
cool
10:39
to
10:39
see
10:40
and,
10:40
you
10:40
know,
10:40
thanks
10:41
for
10:41
being
10:41
with
10:41
us
10:41
today.
10:42
Yeah,
10:42
thanks,
10:43
guys.
10:43
Thanks
10:43
for
10:43
having
10:43
me.
10:43
I
10:44
appreciate
10:44
it.
10:45
And
10:45
Michael,
10:45
if
10:46
people
10:46
want
10:46
to
10:46
get
10:46
in
10:46
touch
10:47
with
10:47
you
10:47
while
10:47
they're
10:47
out
10:48
at
10:48
grocery
10:48
shop.
10:49
What's
10:49
the
10:49
best
10:50
way
10:50
for
10:50
them
10:50
to
10:50
do
10:51
that?
10:52
Yeah,
10:52
so
10:52
they
10:53
can
10:53
just
10:53
go
10:53
to
10:53
our
10:53
website,
10:54
grocerydeals.com
10:55
my
10:56
phone
10:56
number
10:56
and
10:56
my
10:56
email
10:57
are
10:57
on
10:58
there
10:58
and
10:59
I
10:59
welcome
11:00
the
11:00
emails
11:00
and
11:00
the
11:01
phone
11:01
calls.
11:01
Thanks
11:02
again
11:02
to
11:02
Michael
11:03
Grocery
11:03
Deals
11:03
for
11:04
joining
11:04
us.
11:05
And
11:05
if
11:05
you
11:05
like
11:05
that,
11:05
then
11:06
stick
11:06
around
11:06
because
11:06
our
11:07
next
11:07
guest
11:07
wants
11:07
to
11:07
help
11:07
make
11:08
your
11:08
last
11:08
mile
11:08
deliveries
11:09
even
11:09
more
11:10
affordable
11:10
as
11:10
a
11:11
grocer.
11:12
And
11:13
joining
11:13
us
11:13
now
11:14
is
11:14
Bharat
11:14
Pulgam,
11:15
the
11:15
CEO
11:16
of
11:16
Buncha.
11:17
Bharat,
11:17
welcome
11:17
back
11:17
to
11:18
omnitalk.
11:18
How
11:18
are
11:19
you?
11:19
Thanks
11:20
for
11:20
having
11:20
me,
11:20
Ann
11:20
and
11:20
Chris,
11:21
good
11:21
to
11:21
be
11:21
back.
11:23
So
11:24
tell
11:25
our
11:25
listeners
11:25
about
11:25
your
11:25
background
11:26
and
11:26
Buncha
11:27
because
11:28
your
11:28
origin
11:28
story
11:28
is
11:29
really
11:29
brilliant.
11:30
Yeah,
11:30
for
11:31
sure.
11:32
Well,
11:32
Buncha
11:33
came
11:33
from
11:34
humble
11:34
beginnings
11:35
during
11:35
the
11:35
pandemic
11:36
when
11:36
I
11:36
was
11:36
back
11:37
home
11:37
with
11:38
my
11:38
parents
11:39
from,
11:39
from
11:39
school.
11:40
Mom
11:40
texted
11:41
me
11:41
one
11:41
evening
11:41
saying,
11:42
hey,
11:42
can
11:42
you
11:42
go
11:42
to
11:42
Costco
11:43
and
11:43
grab
11:43
some
11:43
groceries
11:43
for
11:44
me?
11:44
I
11:44
was
11:44
like,
11:44
mom,
11:44
why
11:45
don't
11:45
you
11:45
just
11:45
use,
11:45
you
11:45
know,
11:46
any
11:46
of
11:46
the
11:46
other
11:46
delivery
11:47
services
11:47
out
11:47
there
11:47
today?
11:48
And
11:48
she
11:49
said,
11:49
I
11:49
don't
11:49
need
11:49
any
11:49
stuff
11:50
delivered
11:50
today,
11:51
so
11:51
why
11:51
would
11:51
I
11:52
pay
11:52
someone
11:52
a
11:52
bunch
11:52
of
11:52
money
11:53
to
11:53
get
11:53
it
11:53
delivered
11:53
today?
11:54
And
11:54
you
11:54
know,
11:54
what
11:54
am
11:54
I
11:54
feeding
11:55
you
11:55
for?
11:55
You
11:55
know,
11:55
go,
11:56
go
11:56
to
11:56
Costco.
11:56
So
11:58
that,
11:58
you
11:58
know,
11:58
initial
11:59
Costco
11:59
trip
12:00
ended
12:00
up
12:01
spreading
12:01
in
12:01
my
12:01
neighborhood
12:02
because
12:02
my
12:02
mom
12:03
started
12:03
telling
12:03
other
12:04
people
12:04
on
12:04
Nextdoor
12:05
and
12:05
Facebook
12:06
and
12:06
our
12:06
HOA
12:06
email
12:07
list
12:07
that
12:07
I
12:07
was
12:07
going
12:08
to
12:08
Costco.
12:08
She
12:08
didn'
12:09
me
12:09
this
12:09
though,
12:10
and
12:10
suddenly,
12:11
you
12:11
know,
12:11
every
12:12
Wednesday
12:12
and
12:13
Thursday
12:14
I'd
12:14
have
12:14
a
12:14
bunch
12:14
of
12:14
people
12:15
text
12:15
me
12:15
what
12:15
they
12:15
needed
12:15
for
12:16
their
12:16
groceries.
12:17
I
12:17
would,
12:17
you
12:17
know,
12:17
consolidate
12:18
that
12:18
list.
12:19
My
12:19
co
12:19
founder
12:20
Josh
12:20
decided
12:20
to
12:20
come
12:21
in
12:21
and
12:21
help
12:21
me
12:21
out
12:23
and
12:23
you
12:23
know,
12:23
we
12:24
were
12:24
able
12:24
to
12:24
get
12:24
30
12:25
to
12:25
40
12:25
people
12:25
to
12:26
deliver
12:26
into
12:26
this
12:27
neighborhood
12:28
all
12:28
at
12:28
the
12:29
same
12:29
time.
12:29
So
12:29
we
12:29
rented
12:29
a
12:30
U
12:30
Haul,
12:30
you
12:30
know,
12:30
we
12:30
put
12:31
all
12:31
these
12:31
orders
12:31
in
12:31
from
12:32
Costco
12:32
and
12:32
delivered
12:32
into
12:33
the
12:33
community.
12:33
So
12:34
that's,
12:34
that's
12:34
the
12:34
start
12:35
of
12:35
Buncha.
12:35
And
12:36
it's
12:36
still
12:37
kind
12:37
of
12:37
the
12:37
core
12:37
ethos
12:38
of
12:38
what
12:38
we
12:38
do
12:38
today
12:39
is,
12:39
you
12:39
know,
12:39
connecting
12:40
retailers
12:40
with
12:41
local
12:41
neighborhoods
12:42
for
12:42
affordable
12:42
scheduled.
12:44
We
12:44
like
12:44
calling
12:44
it
12:44
Milkman
12:45
style
12:45
deliveries.
12:47
That's
12:48
awesome.
12:49
It
12:49
is
12:50
amazing.
12:51
You
12:51
can
12:51
go
12:51
to
12:52
the
12:52
website
12:53
and
12:53
sign
12:53
up.
12:53
If
12:54
you're
12:54
in
12:55
the
12:55
Twin
12:56
Cities
12:56
metro
12:56
area,
12:56
you're
12:57
in
12:57
Denver.
12:57
Where
12:57
else
12:58
right
12:59
now
13:00
is
13:00
Bunch
13:00
of
13:00
kind
13:01
of
13:01
working
13:01
or
13:02
where
13:02
would
13:02
you
13:02
be
13:02
able
13:02
to
13:03
connect
13:03
with
13:03
buncha
13:03
in
13:03
the
13:04
U.S.
13:05
yeah.
13:05
So,
13:06
you
13:06
know,
13:06
some
13:07
exciting,
13:07
exciting
13:08
developments
13:09
on
13:09
our
13:10
end
13:10
is,
13:10
you
13:11
know
13:11
what,
13:11
I
13:11
just
13:11
kind
13:12
of
13:12
talked
13:12
to
13:12
you
13:12
about
13:12
was
13:13
our
13:13
Marketplace
13:14
platform.
13:14
You
13:14
know,
13:14
that's
13:14
kind
13:15
of
13:15
evolved
13:15
into
13:15
our
13:15
own
13:16
standalone
13:16
app.
13:17
And
13:18
that
13:18
app
13:18
customers
13:19
can
13:19
sign
13:19
up
13:19
for.
13:20
And
13:20
just
13:21
like
13:21
you
13:21
know,
13:21
any
13:21
of
13:21
the
13:21
other
13:22
services,
13:22
you
13:22
get
13:22
a
13:22
delivery
13:23
when
13:23
you,
13:23
you
13:23
know,
13:23
hit
13:24
your
13:24
time
13:24
slot.
13:24
But
13:25
we're
13:26
considerably
13:26
cheaper
13:27
because
13:27
you
13:27
and
13:27
your
13:27
neighbors
13:28
were
13:28
all
13:28
ordering
13:29
together
13:29
at
13:29
the
13:29
same
13:29
time.
13:30
So
13:30
you
13:30
know,
13:30
you
13:30
get
13:30
multiple
13:31
windows
13:31
per
13:31
day.
13:32
You
13:32
know,
13:33
these
13:33
stores
13:33
are
13:33
coming
13:33
at
13:34
one
13:34
o'
13:34
clock
13:34
on
13:34
Tuesday,
13:35
another
13:36
two
13:36
o'
13:36
clock
13:36
on
13:36
Thursday
13:37
and
13:37
order
13:37
together.
13:38
But
13:38
we
13:39
recently
13:39
launched
13:40
a
13:40
new
13:40
model
13:41
called,
13:41
we
13:41
call
13:41
it
13:42
Bunch
13:42
of
13:42
Connect
13:42
or
13:42
it's
13:43
our
13:43
white
13:43
label
13:43
model.
13:44
And
13:44
our
13:44
white
13:44
label
13:45
model
13:45
basically
13:46
allows
13:46
a
13:46
retailer
13:47
to
13:48
use
13:48
our
13:48
infrastructure
13:49
of
13:50
W2
13:50
drivers,
13:51
refrigerated
13:52
trucks.
13:53
So
13:53
you
13:53
see
13:53
where
13:54
the
13:54
milkman,
13:54
you
13:54
know,
13:55
comes
13:55
from
13:55
from
13:55
earlier
13:57
and
13:57
utilize
13:58
our
13:58
network
13:58
to
13:58
deliver
13:59
from
13:59
their
13:59
own,
14:00
you
14:00
know,
14:00
online
14:00
property.
14:01
So
14:01
we're
14:01
actually
14:02
live
14:02
with
14:02
that
14:02
in
14:03
Detroit
14:04
with
14:04
our,
14:04
with,
14:05
with
14:05
a
14:05
large
14:05
retailer
14:06
and
14:06
we're
14:06
very
14:06
excited
14:06
to
14:07
be
14:07
out
14:07
market
14:07
as
14:08
well
14:08
and
14:08
soon
14:09
the
14:09
more
14:09
markets
14:09
in
14:09
the
14:10
Midwest
14:10
pretty
14:11
soon
14:11
over
14:11
the
14:11
next
14:11
few
14:11
months.
14:12
And
14:13
Brett,
14:13
who
14:13
are
14:14
you
14:14
looking
14:14
to,
14:15
to
14:15
expand
14:16
with
14:16
and
14:16
work
14:17
with
14:17
you?
14:17
You
14:17
mentioned
14:18
a
14:18
large
14:18
retailer
14:19
based
14:19
in
14:19
Detroit.
14:20
But
14:20
like
14:20
who
14:21
of
14:21
our
14:21
retailers
14:22
and
14:22
brands
14:23
listening,
14:23
like
14:24
who,
14:24
who's
14:25
next
14:25
on
14:25
that
14:25
list
14:26
or
14:26
what
14:26
kind
14:27
of
14:27
retailer
14:28
can
14:28
you
14:28
support
14:28
right
14:29
now
14:29
at
14:29
Buncha
14:29
with
14:30
both
14:30
that
14:30
white
14:31
label
14:31
effort
14:31
and.
14:32
Yeah,
14:34
certainly,
14:35
certainly.
14:35
So,
14:36
you
14:36
know,
14:36
I
14:37
think
14:37
we're
14:37
in
14:37
a
14:37
really
14:38
interesting
14:38
time
14:39
right
14:39
now
14:40
as
14:40
we
14:41
notice
14:41
the,
14:42
you
14:42
know,
14:42
price
14:42
of
14:42
groceries
14:43
getting
14:43
more
14:43
expensive
14:44
and
14:45
the
14:45
retailers
14:45
still
14:46
have
14:46
their
14:46
targets
14:47
to
14:47
hit
14:47
for
14:47
their
14:47
digital,
14:48
you
14:48
know,
14:48
a
14:48
portion
14:49
of
14:49
sales.
14:49
And
14:50
this
14:51
Amazon
14:51
news
14:51
that
14:51
was
14:52
very
14:52
recent.
14:52
Right.
14:52
Amazon's
14:53
investing
14:53
a
14:54
bunch
14:54
of
14:54
more
14:54
money,
14:54
a
14:55
bunch
14:55
of,
14:55
a
14:55
bunch
14:55
of
14:56
more
14:56
money
14:56
into
14:56
same
14:57
day
14:57
grocery
14:58
delivery.
14:58
So
14:59
we've
15:00
started
15:00
to
15:00
notice,
15:00
hey,
15:01
there's
15:01
actually
15:01
a
15:01
lot
15:02
of
15:02
interest
15:03
from
15:04
grocers
15:05
as
15:05
well
15:05
as
15:05
other
15:06
retailers
15:06
like
15:06
Pat
15:07
Liquor
15:08
to
15:08
try
15:08
to
15:09
find
15:09
a
15:09
different
15:09
kind
15:10
of
15:10
delivery
15:11
model
15:11
that
15:12
is,
15:12
you
15:12
know,
15:12
more
15:12
affordable
15:13
but
15:14
also
15:14
maybe
15:14
provides
15:15
a
15:15
different
15:15
experience
15:16
for
15:16
their
15:16
customer
15:16
than
15:17
they're
15:17
traditionally
15:17
used
15:17
to.
15:18
Right.
15:18
You
15:18
know,
15:19
a
15:19
lot
15:19
of
15:19
retailers,
15:20
whenever
15:20
we
15:20
talk
15:21
to
15:21
them
15:21
like
15:21
hey,
15:21
the
15:21
economics
15:22
of
15:22
delivery
15:22
are
15:22
really
15:23
difficult.
15:24
So
15:24
if
15:24
there's
15:24
a
15:24
platform
15:25
that
15:25
can
15:25
help
15:26
them
15:26
kind
15:26
of
15:26
batch
15:27
orders
15:27
together
15:28
and
15:28
also
15:28
enable
15:29
other
15:29
capabilities,
15:30
that's
15:31
really
15:31
interesting
15:31
to
15:31
them.
15:32
So
15:32
you
15:32
know,
15:32
we've
15:32
been
15:32
talking
15:33
to
15:33
anyone
15:33
from
15:34
a
15:34
regional
15:34
size
15:35
grocer
15:35
to
15:35
your
15:35
local
15:36
grocer
15:36
to
15:36
your
15:36
enterprise
15:37
grocer.
15:37
I
15:38
think
15:38
everyone
15:39
kind
15:39
of
15:39
recognizes,
15:40
hey,
15:40
there's
15:40
a
15:40
really
15:41
interesting
15:41
opportunity
15:42
right
15:42
now.
15:42
And
15:43
we
15:43
need
15:43
to
15:43
make
15:44
delivery
15:44
more
15:44
affordable
15:45
for
15:45
our
15:45
customers.
15:46
And
15:46
I
15:46
think
15:46
the
15:47
one
15:47
last
15:47
thing
15:47
is,
15:48
you
15:48
know,
15:48
I
15:48
think
15:48
we're
15:48
also
15:48
noticing
15:49
retailers
15:49
just
15:50
kind
15:50
of
15:50
start
15:50
thinking
15:50
about,
15:50
hey,
15:51
you
15:51
know,
15:51
we've
15:52
given
15:52
a
15:52
lot
15:52
of
15:52
businesses
15:53
to
15:53
these
15:53
marketplaces,
15:54
but
15:54
we
15:54
want
15:54
to
15:54
have
15:54
control
15:55
over
15:55
our
15:55
own
15:55
customers.
15:56
So
15:56
our
15:56
model
15:57
of
15:57
this,
15:57
you
15:57
know,
15:58
really
15:58
high
15:59
touch,
16:00
really
16:00
high
16:00
experience,
16:01
but
16:01
very
16:02
affordable
16:03
delivery
16:04
is
16:04
really
16:05
resonating
16:05
with
16:05
a
16:06
lot
16:06
of
16:06
customers.
16:06
And
16:06
I'll,
16:07
I'll
16:07
share
16:07
two
16:07
data
16:07
points.
16:08
Maybe
16:08
the
16:09
first
16:09
one
16:09
is
16:09
in
16:09
our
16:10
Detroit
16:10
market
16:11
with
16:11
white
16:11
label.
16:12
Our
16:13
NPS
16:13
is
16:14
typically
16:14
about
16:14
20
16:15
points
16:15
higher
16:16
than
16:16
our
16:16
competitor
16:17
out
16:17
there.
16:18
And
16:18
we're
16:18
sitting
16:19
at
16:19
around
16:19
82.
16:21
From
16:21
an
16:22
NPS
16:22
perspective
16:23
on
16:23
customer
16:23
delivery
16:24
with,
16:24
from
16:24
our,
16:25
from
16:25
our
16:25
delivery
16:25
customers
16:26
and
16:27
then
16:27
across,
16:27
you
16:27
know,
16:28
all
16:28
of
16:28
our
16:28
other
16:28
metrics
16:29
continue
16:29
to
16:29
beat
16:29
benchmark
16:31
and
16:31
we're
16:31
half
16:31
the
16:32
price.
16:32
So,
16:32
you
16:32
know,
16:33
just,
16:33
we're
16:33
continuing
16:33
to
16:34
focus
16:34
on
16:34
more
16:35
affordable,
16:35
more
16:36
reliable,
16:36
better
16:36
experience.
16:38
And
16:38
barat
16:38
that
16:39
service
16:39
settlement,
16:39
that's
16:40
a,
16:40
that's
16:40
a
16:40
function
16:40
of
16:41
the
16:41
fact
16:41
that
16:41
your
16:41
W2
16:42
drivers
16:42
that
16:42
you're
16:42
white
16:43
labeling
16:43
for
16:43
these
16:43
grocers,
16:44
they're
16:44
basically
16:45
making
16:45
the
16:45
same
16:45
deliveries
16:46
every
16:46
weekend
16:47
to
16:47
those
16:47
same
16:47
customers.
16:48
So
16:48
they
16:48
get
16:48
to
16:48
know
16:48
them.
16:49
I.
16:49
E.
16:49
Like
16:49
the
16:49
milkman.
16:50
Yes,
16:50
yes,
16:51
Excellent
16:51
point,
16:51
Chris.
16:52
You
16:52
know,
16:53
you
16:53
hit
16:54
it
16:54
on
16:54
the
16:54
head.
16:55
It's
16:55
the
16:55
same
16:55
driver,
16:56
same
16:56
shopper
16:57
in
16:57
your
16:57
neighborhood
16:57
serving
16:58
the
16:58
same
16:58
customers.
16:59
So
17:00
we
17:00
get
17:00
that
17:00
relationship,
17:01
right?
17:01
Like,
17:01
hey,
17:01
I
17:02
know
17:02
this
17:02
customer,
17:02
you
17:03
know,
17:03
wants
17:03
us
17:03
to
17:03
leave
17:03
it
17:04
by
17:04
their
17:04
porch.
17:04
Or,
17:05
you
17:05
know,
17:05
I
17:05
even
17:05
know
17:05
this
17:06
customer
17:06
doesn't
17:06
like
17:06
this
17:07
type
17:07
of
17:07
product.
17:08
The
17:08
shopper
17:08
and
17:08
driver
17:09
kind
17:09
of
17:09
work
17:09
together.
17:10
And
17:10
I'll
17:10
say
17:10
one
17:10
more
17:11
thing
17:11
for
17:11
the
17:11
retailers
17:12
listening.
17:12
It's
17:13
also
17:13
the
17:13
same
17:13
shoppers
17:14
and
17:14
drivers
17:14
in
17:15
your
17:15
store.
17:16
So
17:16
you
17:16
get
17:16
this
17:17
kind
17:17
of
17:17
sense
17:18
of,
17:18
hey,
17:18
it's
17:18
the
17:19
same
17:19
people.
17:19
It's
17:20
not
17:20
40
17:20
people
17:20
coming
17:21
in
17:21
throughout
17:21
the
17:21
day,
17:22
but
17:22
it's
17:22
maybe
17:23
four
17:23
guys
17:23
right
17:24
now.
17:24
Four
17:24
guys
17:24
and
17:24
gals
17:25
that,
17:25
you
17:25
know,
17:26
they're
17:26
embedded.
17:27
They
17:27
act
17:27
like
17:27
your
17:27
store
17:28
team.
17:28
Customers
17:28
come
17:29
up
17:29
to
17:29
our
17:29
shoppers
17:29
in
17:30
these
17:30
stores
17:30
all
17:30
the
17:30
time
17:31
and
17:31
ask
17:31
for
17:31
help.
17:31
You
17:32
know,
17:32
we
17:32
tell
17:32
our
17:33
in
17:33
store
17:33
shoppers,
17:34
hey,
17:34
you
17:34
are
17:35
a
17:35
representation
17:36
of
17:36
the
17:36
brand
17:37
that
17:37
you
17:37
are.
17:37
You
17:38
know,
17:38
you're
17:38
the
17:38
retailer
17:38
you
17:39
are
17:39
working
17:39
with.
17:39
So
17:40
let's
17:40
make
17:40
sure
17:40
we
17:40
are,
17:40
you
17:41
know,
17:41
putting
17:41
our
17:41
best
17:41
foot
17:41
forward.
17:42
And
17:42
I
17:42
think
17:43
especially
17:43
right
17:43
now,
17:43
we're
17:44
hearing
17:44
a
17:44
lot
17:44
of
17:44
stuff
17:44
about
17:45
like,
17:45
shrinkage
17:45
and
17:46
poor
17:46
experience
17:46
within
17:47
store
17:47
teams.
17:48
That
17:48
just
17:48
kind
17:48
of
17:49
extra
17:49
cherry
17:49
on
17:50
top
17:50
really
17:50
goes
17:50
a
17:50
long
17:51
way
17:51
for
17:51
making
17:52
it
17:52
very
17:52
easy
17:52
for
17:52
stores
17:53
to
17:53
Work
17:53
with
17:53
us.
17:54
Yeah,
17:54
that's
17:54
interesting.
17:55
That's
17:55
something
17:55
I
17:55
hadn't
17:55
thought
17:55
about
17:56
before.
17:56
So,
17:56
Brock,
17:57
because
17:57
you
17:57
mentioned,
17:57
because
17:58
you
17:58
mentioned
17:58
Amazon
17:58
and
17:58
its
17:59
recent
17:59
push
17:59
into
18:00
grocery,
18:00
you
18:00
know,
18:01
more
18:01
overtly,
18:02
I
18:02
want
18:02
you
18:02
to
18:02
touch
18:02
on
18:02
that
18:02
a
18:03
little
18:03
bit
18:03
more,
18:03
too.
18:03
So,
18:04
so
18:04
what,
18:04
as
18:05
you're
18:05
talking
18:05
to
18:05
these
18:05
grocers,
18:06
what
18:06
are
18:06
some
18:06
of
18:06
the
18:06
things
18:07
that
18:07
they're
18:07
thinking
18:08
about
18:08
in
18:08
terms
18:08
of,
18:09
you
18:09
know,
18:09
that
18:10
entry
18:10
and
18:11
what
18:11
they
18:11
need
18:11
to
18:12
do
18:12
or
18:12
how
18:12
they
18:12
need
18:12
to,
18:13
you
18:13
know,
18:13
adjust
18:14
their
18:14
operations
18:15
to
18:15
continue
18:15
to
18:16
compete?
18:17
I
18:17
think
18:18
it's
18:18
coming
18:18
down
18:18
to
18:18
price,
18:19
right?
18:19
It's
18:20
all
18:20
about
18:20
pricing
18:20
pressure.
18:21
Like,
18:22
I
18:22
think
18:23
this
18:23
is
18:24
a
18:24
massive
18:24
signal
18:25
for
18:25
the
18:25
industry
18:25
that
18:25
there's
18:26
still
18:26
so
18:26
much
18:27
market
18:27
share
18:27
to
18:27
be
18:28
won
18:28
here,
18:28
Right.
18:29
I
18:29
think
18:29
only
18:29
12%
18:30
of
18:30
grocery
18:31
spend
18:31
is
18:31
online
18:31
or
18:32
something
18:32
like
18:32
that.
18:32
And,
18:33
you
18:34
know,
18:34
there's
18:34
more
18:34
people
18:34
with
18:34
an
18:35
Amazon
18:35
prime
18:35
membership
18:36
than
18:37
a
18:37
landline
18:38
now,
18:38
Right?
18:38
Which
18:39
is
18:39
not
18:39
that
18:39
hard
18:39
to
18:40
believe.
18:41
So,
18:42
you
18:42
know,
18:43
obviously
18:43
people
18:44
are,
18:44
people
18:44
are
18:44
resonating
18:45
to
18:45
that.
18:45
I
18:45
think
18:47
there's
18:47
a
18:47
few
18:47
things.
18:48
I
18:48
think
18:48
it's,
18:48
it's
18:49
price,
18:49
right?
18:49
Okay,
18:49
if
18:50
Amazon
18:50
makes
18:50
this
18:51
free
18:51
with
18:51
their
18:51
prime
18:52
membership,
18:52
how
18:52
do
18:52
we
18:53
compete
18:53
with
18:53
that?
18:53
Right?
18:54
So
18:54
how
18:54
can
18:54
we
18:54
get
18:54
very
18:54
aggressive
18:55
on
18:55
pricing?
18:56
I
18:56
think
18:57
the
18:57
interesting
18:58
tension
18:58
I've
18:58
noticed
18:59
is
18:59
that
18:59
retailers
19:00
are
19:00
very
19:00
shy
19:01
from
19:01
like,
19:02
really
19:02
dropping
19:02
the
19:03
pricing
19:03
because
19:03
they've
19:03
done
19:03
that
19:04
before,
19:04
you
19:04
know,
19:04
they've
19:05
gotten
19:05
very
19:05
aggressive
19:05
and
19:06
they
19:06
know
19:06
it's
19:06
just
19:06
bad
19:07
economics.
19:07
So
19:08
that's
19:08
kind
19:08
of
19:08
like,
19:08
okay,
19:09
how
19:09
do
19:09
we
19:09
make
19:09
this
19:09
more
19:10
affordable
19:10
but
19:11
still
19:11
make
19:11
it
19:11
make
19:11
sense,
19:12
right?
19:12
How
19:12
do
19:12
we
19:12
justify
19:13
the
19:13
cost
19:14
of
19:14
making
19:14
the
19:15
price
19:15
lower?
19:15
Because
19:15
that's
19:16
like
19:16
generally
19:17
just
19:17
a
19:17
thesis,
19:18
right?
19:19
I
19:19
think
19:19
the
19:20
second
19:20
thing
19:20
is
19:21
service
19:21
experience.
19:22
I've
19:23
done
19:23
a
19:23
little
19:23
bit
19:24
of
19:24
research
19:24
on
19:24
this,
19:24
and
19:25
I'm
19:25
sure
19:25
there
19:25
are
19:25
much,
19:25
much
19:26
more
19:26
smarter
19:26
people
19:27
than
19:27
me
19:27
at
19:27
Amazon
19:28
that
19:28
have
19:28
tried
19:28
to
19:28
figure
19:29
this
19:29
out.
19:29
But
19:30
it
19:30
appears
19:31
that
19:31
these
19:31
groceries
19:32
are
19:32
going
19:32
to
19:32
go
19:32
onto
19:33
the
19:33
same
19:33
kind
19:33
of
19:33
parcel
19:34
delivery
19:34
network.
19:35
So
19:35
what
19:35
does
19:35
that
19:36
mean
19:36
in
19:36
terms
19:36
of
19:36
experience
19:37
for
19:38
the
19:38
customer?
19:38
Right?
19:39
What
19:39
does
19:39
that
19:39
mean?
19:40
Like,
19:40
you
19:40
get
19:40
your
19:40
electronics
19:41
and
19:41
your
19:41
groceries
19:42
in
19:43
the
19:43
same
19:43
delivery
19:44
in
19:44
the
19:44
same
19:45
truck,
19:45
but
19:46
does
19:46
that,
19:47
does
19:47
that
19:47
mean
19:47
your
19:47
ice
19:47
cream's
19:48
melted?
19:48
Does
19:48
that
19:48
mean,
19:49
you
19:49
know,
19:49
your
19:49
driver
19:50
and,
19:50
you
19:50
know,
19:50
I
19:51
know
19:51
you
19:51
know
19:52
how
19:52
efficient
19:53
Amazon
19:54
is
19:54
because
19:54
we
19:54
think
19:54
a
19:55
lot
19:55
about
19:55
that
19:55
at
19:55
our
19:56
company
19:56
and
19:56
how
19:56
to
19:56
optimize
19:57
their
19:57
orders
19:57
delivered
19:58
per
19:58
hour.
19:58
And
19:59
if
19:59
your
19:59
pack
20:00
parcel
20:00
delivery
20:00
Guy
20:01
is
20:01
doing
20:01
18
20:02
orders
20:03
delivered
20:03
per
20:03
hour,
20:04
I
20:04
mean,
20:04
that's
20:04
really
20:05
fast.
20:05
And
20:06
I,
20:06
I,
20:06
you
20:06
know,
20:06
I'm
20:07
curious
20:07
to
20:07
see
20:07
how
20:08
they're
20:08
Going
20:08
to
20:08
fix
20:08
the
20:09
grocery,
20:09
you
20:09
know,
20:10
quality
20:10
issue
20:11
with
20:11
that.
20:12
And
20:12
this
20:12
kind
20:12
of
20:12
just
20:12
goes
20:13
back
20:13
to
20:13
the
20:13
whole
20:13
point
20:13
about
20:14
Buncha,
20:14
right?
20:14
Is
20:14
we
20:15
think
20:15
that
20:15
yes,
20:16
there
20:16
are
20:17
times
20:17
where
20:17
you,
20:18
we
20:18
need
20:18
stuff
20:19
in
20:19
20
20:20
minutes,
20:20
15
20:20
minutes
20:21
because
20:21
you're
20:22
making
20:22
pasta
20:22
and
20:23
you
20:23
have
20:24
the
20:24
spaghetti
20:25
in
20:25
the
20:25
water
20:25
but
20:25
you
20:25
don't
20:26
have
20:26
tomato
20:26
sauce
20:26
and
20:26
you
20:27
need
20:27
someone
20:27
to
20:27
deliver
20:27
tomato
20:28
sauce
20:28
to
20:28
you
20:28
instantly.
20:28
Right.
20:29
But
20:29
I
20:29
think
20:30
a
20:30
majority
20:30
of
20:30
grocery
20:31
purchases
20:31
are
20:32
still
20:32
planned,
20:33
still
20:33
weekly,
20:34
still
20:34
your
20:35
big
20:35
basket.
20:36
And
20:36
the
20:37
fact
20:37
that
20:37
we
20:38
can
20:38
deliver
20:38
to
20:39
you
20:39
and
20:39
provide
20:40
a
20:40
better
20:40
experience,
20:41
that
20:42
shows,
20:42
it
20:42
shows
20:42
in
20:42
our
20:43
retention
20:43
numbers
20:43
and
20:43
I
20:43
think
20:44
it
20:44
builds
20:44
customer
20:44
trust
20:45
that
20:45
that's,
20:45
that's
20:45
what
20:45
it's
20:45
all
20:46
about.
20:46
So
20:47
long
20:48
way
20:48
of
20:48
answering
20:48
your
20:49
question,
20:49
but
20:49
I
20:49
think
20:49
service
20:50
quality
20:50
and,
20:50
and
20:51
price,
20:51
I
20:51
think
20:51
is
20:51
what
20:52
retailers
20:52
are,
20:52
are
20:53
thinking
20:53
a
20:53
lot
20:53
about
20:53
and
20:54
how
20:54
they
20:54
differentiate
20:54
right
20:55
across
20:55
all
20:55
the
20:56
other,
20:56
all
20:56
the
20:57
other
20:57
competitors
20:58
and
20:58
options
20:58
that
20:58
they
20:58
have
20:59
today.
21:00
Well,
21:01
it
21:01
sounds
21:01
like
21:01
everyone
21:02
listening
21:02
can
21:02
rest
21:03
assured
21:03
that
21:04
you
21:04
at
21:04
Buncha
21:05
and
21:05
the
21:05
team
21:06
are
21:06
really
21:06
working
21:07
through
21:07
how
21:08
they
21:08
can
21:08
stay
21:09
competitive.
21:09
Brought.
21:10
I
21:11
want
21:11
to
21:11
know
21:11
though,
21:12
what
21:12
are
21:12
you
21:12
excited
21:12
about
21:13
in
21:13
the
21:13
coming
21:13
year?
21:13
What's
21:14
ahead
21:14
for
21:14
Buncha?
21:15
Yeah,
21:16
I
21:16
think
21:17
this
21:18
kind
21:18
of
21:18
tailwind
21:19
is
21:20
really
21:20
helping
21:20
us
21:21
think
21:21
about
21:21
what's
21:21
next.
21:22
And
21:23
we
21:24
have
21:24
this
21:24
opportunity
21:25
right
21:25
now,
21:26
one
21:26
to
21:26
expand
21:27
geographic.
21:29
So
21:29
that's
21:29
something
21:29
we're
21:29
really
21:30
focused
21:30
on
21:31
going
21:31
into
21:31
2026.
21:32
But
21:33
also
21:33
I
21:33
think
21:33
we
21:34
have,
21:34
you
21:34
know,
21:34
this,
21:35
we
21:35
have
21:35
this
21:36
kind
21:36
of
21:36
roadmap
21:37
bandwidth
21:37
on
21:37
a
21:37
roadmap
21:38
to
21:38
go
21:38
partner
21:39
with
21:39
two
21:39
or
21:39
three
21:39
more,
21:40
you
21:40
know,
21:40
retailers
21:41
on
21:41
kind
21:41
of
21:42
a
21:42
regional
21:42
national
21:42
scale
21:43
as
21:43
well
21:43
as
21:43
a
21:43
bunch
21:43
of
21:44
smaller,
21:44
you
21:45
know,
21:45
hyper
21:45
regionals.
21:46
Right.
21:46
And
21:46
so
21:47
we're
21:47
thinking
21:47
about,
21:47
hey,
21:48
as
21:48
we
21:48
go
21:48
to
21:49
new
21:49
cities,
21:50
how
21:50
do
21:50
we
21:50
make
21:51
sure
21:51
that
21:51
we
21:51
have
21:51
the
21:51
right
21:52
mix
21:52
of
21:52
folks?
21:53
And
21:54
one
21:54
thing
21:54
I've,
21:54
I've
21:54
always
21:54
said
21:55
in
21:55
my
21:55
pitches
21:56
to
21:56
retailers
21:56
is,
21:56
hey,
21:57
we're,
21:57
you
21:58
know,
21:58
we're
21:58
big
21:59
enough
21:59
where
21:59
we
22:00
can
22:00
support
22:01
a
22:01
massive
22:02
city
22:02
wide,
22:02
you
22:03
know,
22:03
deployment
22:03
and
22:04
rapidly
22:04
go
22:04
launch
22:04
two
22:05
to
22:05
three
22:05
stores
22:05
a
22:06
week
22:06
and
22:06
you
22:06
know,
22:06
get,
22:07
get,
22:07
get
22:07
capture
22:08
rate
22:08
going.
22:08
But
22:09
we're
22:09
small
22:09
enough
22:10
where,
22:10
you
22:10
know,
22:10
you
22:10
sign
22:11
on
22:11
early
22:11
with
22:11
us,
22:11
you
22:12
can
22:12
be
22:12
part
22:12
of
22:12
how
22:12
we
22:13
kind
22:13
of
22:13
think
22:13
about
22:13
our
22:13
roadmap
22:14
in
22:14
the
22:14
future.
22:14
Right.
22:15
So
22:15
maybe
22:16
that's
22:16
something
22:16
you
22:17
don't
22:17
get
22:17
with
22:17
other
22:17
providers
22:18
today.
22:18
But
22:18
you
22:19
know,
22:19
as
22:19
a,
22:19
as
22:19
a
22:20
series
22:20
A
22:20
leaning
22:21
towards
22:21
series
22:21
B
22:22
company,
22:23
we
22:23
have
22:23
that,
22:23
you
22:24
know,
22:24
extra,
22:25
extra
22:25
touch
22:25
we'll
22:26
call
22:26
it
22:26
right
22:26
now
22:27
as
22:27
we
22:27
think
22:28
about
22:28
scaling
22:28
with
22:29
retailers
22:29
and
22:29
geographies.
22:31
Well,
22:32
Brad,
22:32
it's
22:32
been,
22:32
it's
22:32
been
22:33
so,
22:33
it's
22:33
been
22:33
so
22:34
wonderful
22:34
following
22:34
your
22:34
progression
22:35
here
22:35
the
22:35
last
22:35
few
22:36
years.
22:36
I
22:36
mean,
22:36
Ann
22:36
and
22:36
I
22:37
were
22:37
super
22:37
excited
22:37
when
22:37
you
22:38
first
22:38
came
22:38
to
22:38
us
22:38
and
22:38
told
22:39
us
22:39
about
22:39
the
22:39
model
22:39
and
22:39
it's
22:40
exciting
22:40
to
22:40
see
22:40
it
22:40
moving,
22:41
especially
22:41
in
22:41
the,
22:42
the
22:42
new
22:42
white
22:42
label
22:42
offering
22:43
that
22:43
you
22:43
guys
22:43
are
22:43
doing
22:43
too.
22:44
So.
22:44
And
22:45
word
22:45
is
22:45
you
22:45
guys
22:46
are
22:46
going
22:46
to
22:46
be
22:46
on
22:46
the,
22:46
in
22:47
the
22:47
startup
22:47
competition
22:48
at
22:48
Grocery
22:48
Shop.
22:49
Is
22:49
that
22:49
true?
22:49
Tell
22:50
our
22:50
audience.
22:50
Yes,
22:51
yes,
22:51
we
22:52
will
22:52
have
22:52
a,
22:52
we
22:53
will
22:53
have
22:53
a
22:53
humble
22:53
booth
22:54
in
22:54
the
22:54
startup
22:55
section
22:55
which
22:55
we're
22:56
very
22:56
excited
22:56
to
22:57
show
22:57
off
22:57
at
22:57
Grocery
22:58
Shop.
22:58
But,
22:58
but
22:59
we
22:59
will
22:59
be
23:00
at
23:00
the
23:00
startup
23:01
stage
23:02
I
23:02
think
23:02
at
23:03
9am
23:03
on
23:04
Monday.
23:04
So
23:05
come
23:05
by.
23:05
You'll
23:06
see
23:06
me,
23:06
you'll
23:06
see
23:07
me
23:07
do
23:07
this
23:07
all
23:07
over
23:08
again.
23:08
But
23:08
I'll
23:09
try
23:09
to,
23:09
try
23:09
to,
23:09
you'll
23:10
see
23:10
me
23:10
in
23:10
person
23:10
this
23:10
time.
23:11
So
23:11
it'll
23:11
be,
23:12
it'll
23:12
be
23:12
fun.
23:13
And
23:13
if
23:14
people
23:14
want
23:14
to
23:14
get
23:14
in
23:14
touch
23:14
with
23:15
you
23:15
at
23:15
the
23:15
show,
23:15
or
23:15
maybe
23:16
even
23:16
not
23:16
at
23:16
the
23:16
show,
23:16
maybe
23:17
they're
23:17
just
23:17
watching
23:17
this
23:17
and
23:18
want
23:18
to
23:18
get
23:18
in
23:18
touch
23:18
with
23:18
you,
23:18
learn
23:19
more,
23:19
what's
23:19
the
23:19
best
23:19
way
23:19
for
23:20
them
23:20
to
23:20
do
23:20
that?
23:21
I'd
23:21
say
23:21
at
23:22
the
23:22
show.
23:23
I
23:23
don't
23:23
remember
23:23
our
23:23
booth
23:24
number,
23:24
but
23:24
I
23:24
know
23:24
we're
23:24
in
23:25
the
23:25
startup
23:25
section
23:26
at.
23:27
Regardless
23:28
of
23:28
that,
23:28
best
23:28
way
23:28
to
23:28
get
23:29
in
23:29
touch
23:29
with
23:29
me
23:29
is
23:29
just
23:29
my
23:29
email.
23:30
So
23:30
just
23:30
be
23:31
H
23:31
A
23:31
r
23:31
a
23:31
t
23:32
barat
23:33
go
23:33
bunch.com
23:35
Amazing.
23:36
Thank
23:36
you
23:36
so
23:36
much
23:37
for
23:37
taking
23:37
the
23:37
time
23:37
with
23:38
us.
23:38
Barat.
23:38
It's
23:39
been
23:39
so
23:39
fun
23:39
to
23:39
watch
23:40
your
23:40
progress
23:40
like
23:41
Chris
23:41
has
23:41
said.
23:42
And
23:43
now
23:43
we've
23:43
talked
23:44
about
23:45
pricing,
23:45
we've
23:46
talked
23:46
about
23:46
last
23:46
mile
23:47
deliveries.
23:48
Let's
23:48
talk
23:49
about
23:49
managing
23:50
inventory
23:50
and
23:51
cash
23:51
flow.
23:52
Hello
23:52
everyone.
23:53
I'm
23:53
pleased
23:53
to
23:53
introduce
23:54
Russ
23:54
Fant.
23:54
Russ
23:55
is
23:55
the
23:55
VP
23:55
of
23:55
Sales
23:56
at
23:56
FinTech
23:56
and
23:56
he
23:57
is
23:57
here
23:57
to
23:57
discuss
23:57
how
23:58
technology
23:58
can
23:58
free
23:58
up
23:59
cash
23:59
flow
23:59
and
24:00
amid
24:00
all
24:00
this
24:01
macroeconomic
24:02
turbulence.
24:02
Russ,
24:03
welcome.
24:04
Thank
24:04
you.
24:04
Great
24:04
to
24:04
be
24:05
here.
24:06
Well
24:06
Russ,
24:06
let's
24:07
start
24:07
by
24:07
having
24:07
you
24:08
tell
24:08
our
24:08
audience
24:09
about
24:09
fintech
24:10
and
24:10
what
24:10
exactly
24:11
it
24:11
does
24:11
for
24:11
grocers.
24:13
Yeah,
24:13
thanks
24:14
for
24:14
asking
24:14
that
24:14
question.
24:15
So
24:16
fintech
24:16
is
24:16
the
24:17
leader
24:17
in
24:17
scan
24:18
based
24:18
trading.
24:18
We've
24:18
been
24:18
doing
24:19
this
24:19
for
24:19
20
24:19
plus
24:20
years.
24:21
In
24:21
fact,
24:21
2/3
24:22
of
24:23
third
24:24
party
24:24
managed
24:25
scan
24:25
based
24:25
trading
24:26
across
24:26
North
24:26
America
24:27
happen
24:27
through
24:27
fintech.
24:29
To
24:29
that
24:29
end,
24:29
we're
24:30
act
24:30
as
24:30
a
24:30
hub
24:31
for
24:31
the
24:31
retailer
24:32
between
24:32
the
24:32
retailer
24:32
and
24:33
their
24:33
suppliers
24:33
to
24:33
make
24:33
scan
24:34
based
24:34
trading
24:34
work
24:34
easier.
24:36
That
24:36
includes
24:37
price,
24:37
you
24:37
know,
24:38
handling
24:38
the
24:38
price
24:38
changes,
24:39
handling
24:40
data,
24:40
handling
24:41
payment
24:42
reporting
24:42
that
24:42
goes
24:43
out
24:43
to
24:43
suppliers
24:43
to
24:44
make
24:44
everything
24:44
flow
24:45
and
24:45
simplify
24:45
scan
24:46
based
24:46
trading.
24:47
Okay.
24:48
So
24:48
Russ,
24:48
for
24:48
those
24:48
that
24:48
maybe
24:49
aren't
24:49
as
24:49
familiar
24:49
with
24:50
scam
24:50
based
24:50
trading.
24:50
What,
24:51
what
24:51
is
24:51
it
24:52
specifically?
24:52
And,
24:53
and
24:53
why
24:53
do
24:53
you
24:54
think
24:54
it's
24:54
an
24:54
opportunity
24:54
for
24:55
grocers?
24:55
Because
24:55
it's
24:55
not
24:55
something
24:56
we
24:56
hear
24:56
about
24:56
in
24:56
the
24:56
grocery
24:57
industry
24:57
all
24:57
that
24:57
much.
24:59
That's
24:59
interesting.
25:00
It's
25:00
actually
25:00
been
25:00
around
25:01
since
25:01
the
25:02
90s.
25:02
I
25:02
think
25:02
Walmart
25:03
was
25:03
the
25:03
originator
25:04
of
25:04
that
25:04
With.
25:04
With
25:04
Hallmark
25:05
greeting
25:05
cards.
25:06
Yes.
25:06
With
25:06
greeting
25:07
cards,
25:07
yeah.
25:07
If
25:08
you
25:08
think
25:08
about
25:08
greeting
25:08
cards,
25:09
that's
25:09
where
25:10
it
25:10
all
25:10
started.
25:11
Since
25:11
then,
25:12
you
25:12
know,
25:12
it
25:12
really
25:12
has
25:12
expanded
25:13
greatly.
25:14
You
25:15
know,
25:15
the
25:15
benefit
25:15
there
25:16
for
25:16
retailers
25:16
is
25:17
really
25:17
this,
25:17
this
25:17
inventory
25:18
transition
25:19
that
25:19
happens
25:19
on
25:19
their
25:19
balance
25:20
sheet.
25:20
So,
25:21
so
25:21
by
25:21
moving
25:22
to
25:22
scan
25:22
based
25:22
trading,
25:23
a
25:23
retailer
25:24
or
25:24
groceries
25:25
can
25:25
take
25:25
a
25:25
cost
25:25
of
25:26
that
25:26
inventory
25:26
off
25:27
their
25:27
balance
25:27
sheet.
25:27
It
25:28
transitions
25:28
to
25:28
the
25:29
supplier
25:29
and
25:29
the
25:29
supplier
25:30
gets
25:30
paid
25:30
at
25:30
the
25:31
point
25:31
of
25:31
sale.
25:33
So
25:33
there's
25:33
a
25:33
real
25:33
big
25:34
cost
25:34
or
25:35
inventory
25:35
savings
25:36
there
25:36
for
25:37
balance
25:37
sheet.
25:37
But
25:37
then
25:38
beyond
25:38
that,
25:39
shrink.
25:40
That
25:40
can
25:40
happen
25:40
at
25:41
store.
25:41
Right.
25:42
Shrink
25:43
shifts
25:43
often
25:44
to
25:44
the
25:44
supplier
25:45
or
25:45
shared
25:45
with
25:46
the
25:46
supplier
25:47
in
25:47
this
25:47
can
25:47
based
25:48
trading
25:48
relationship.
25:48
And
25:49
then
25:49
also
25:50
the
25:51
soft
25:52
cost
25:52
savings
25:52
are
25:52
there
25:52
for
25:52
the
25:53
retailer.
25:53
So
25:53
they,
25:54
they
25:54
are
25:54
not
25:55
counting
25:55
in
25:55
counting
25:56
out
25:56
inventory
25:57
in
25:57
the
25:57
store
25:58
anymore.
25:58
They're
25:59
not
25:59
paying,
25:59
they're
25:59
not
25:59
processing
26:00
invoices
26:01
in
26:01
their
26:01
accounts
26:01
payable
26:01
department.
26:02
So
26:02
they're
26:03
not
26:03
chasing
26:03
down,
26:04
you
26:04
know,
26:04
costly
26:04
credits
26:05
and
26:05
things
26:05
that
26:05
happen
26:06
on
26:06
the
26:06
back
26:06
side
26:07
and
26:07
the
26:07
accounts
26:07
payable
26:08
side.
26:09
So
26:09
Russ,
26:10
that
26:10
makes
26:10
sense.
26:11
Are
26:11
there
26:12
some
26:12
areas
26:12
where
26:13
this
26:13
is
26:13
more
26:13
beneficial
26:14
for
26:14
grocers
26:14
than
26:15
other
26:15
areas?
26:17
You
26:17
know,
26:17
are
26:17
they
26:18
seeing
26:18
more
26:18
benefits
26:19
from
26:20
switching
26:20
to
26:20
scan
26:20
based
26:21
trading?
26:21
You
26:21
mentioned
26:21
greeting
26:22
cards,
26:22
but
26:22
what
26:23
else
26:23
kind
26:24
of
26:24
has
26:24
sparked
26:25
more
26:25
curiosity
26:26
from
26:26
the
26:26
grocer's
26:27
perspective?
26:28
Right.
26:28
So
26:29
where,
26:30
where
26:30
does
26:30
this
26:30
thing
26:31
really
26:31
land?
26:31
Where
26:31
does
26:32
it
26:32
resume?
26:33
So
26:33
traditionally
26:34
DSD
26:35
has
26:35
been
26:36
where
26:36
you'd
26:36
see
26:36
this.
26:36
So
26:37
think,
26:38
you
26:38
know,
26:38
bakery
26:39
or
26:39
commercial
26:39
bread,
26:40
almost
26:40
all
26:41
commercial
26:41
bread
26:42
now
26:42
is,
26:42
you
26:43
know,
26:43
if
26:43
it's
26:43
not
26:43
in
26:43
your,
26:44
in
26:44
a
26:44
grocer,
26:44
they
26:44
should
26:45
be
26:45
doing
26:45
it
26:45
that
26:45
way
26:45
because
26:46
most
26:46
of
26:46
most
26:46
commercial
26:47
bread
26:47
I
26:48
think
26:48
is
26:49
scam
26:49
based.
26:49
But
26:50
then
26:50
you
26:50
got
26:51
propane,
26:52
you
26:52
know,
26:52
ice,
26:53
dairy,
26:54
anything
26:54
that's
26:55
dsd.
26:56
And
26:56
where
26:56
we
26:57
really
26:57
see
26:57
the
26:58
growth
26:58
potential
26:59
is
26:59
coming
26:59
from
27:00
warehouse
27:00
and
27:00
distribution
27:01
center.
27:02
So
27:02
you
27:02
know,
27:02
grocery
27:03
stores
27:03
have
27:03
something
27:04
like
27:04
40,000
27:04
SKUs.
27:06
They're
27:07
touching
27:07
this
27:07
much
27:07
of
27:08
it
27:08
with
27:08
standby
27:08
straight
27:09
in
27:09
today.
27:09
There's
27:09
so
27:09
much
27:09
potential
27:10
to
27:10
work
27:11
through
27:11
the
27:11
warehouse
27:11
and
27:11
we
27:12
see
27:12
that
27:12
it's
27:12
the
27:12
next
27:12
place,
27:13
the
27:14
next
27:14
evolution
27:14
of
27:15
scan
27:15
based
27:15
trading
27:15
is
27:15
going
27:15
to
27:16
be
27:16
there.
27:17
Wow.
27:17
But
27:17
Russ,
27:18
help
27:18
me
27:18
understand
27:19
too,
27:19
and
27:20
help
27:20
me
27:21
understand
27:21
too,
27:21
what
27:21
is
27:21
the
27:21
difference
27:22
between
27:22
DSD
27:23
and
27:24
scan
27:24
based
27:24
Trading
27:25
ultimately
27:25
at
27:25
the
27:25
end
27:26
of
27:26
the
27:26
day
27:26
too,
27:26
because
27:26
there
27:27
is
27:27
a
27:27
difference.
27:27
Right.
27:28
Or
27:28
are
27:28
they
27:28
the
27:28
same
27:29
thing?
27:30
No
27:30
difference.
27:31
So
27:31
you
27:31
know,
27:31
anybody
27:32
pulls
27:32
up
27:32
to
27:32
the
27:32
store
27:33
in
27:33
a
27:33
truck
27:33
and
27:34
is
27:34
going
27:34
to
27:34
deliver
27:34
products.
27:35
So
27:35
think
27:36
of
27:36
a
27:36
bread
27:36
person
27:37
or
27:37
somebody
27:38
who's
27:38
coming
27:38
from
27:39
a
27:40
beverage
27:40
company.
27:41
Yeah.
27:41
Pepsi,
27:42
Coke,
27:42
Frito
27:43
Lay,
27:43
you
27:43
think
27:44
about
27:44
any
27:44
of
27:44
those
27:44
guys,
27:45
that's
27:45
dst,
27:46
but
27:46
it
27:46
also
27:46
can
27:46
be
27:47
drop
27:47
ship.
27:48
So
27:48
we
27:48
have
27:48
a
27:48
lot
27:48
of
27:48
our,
27:49
our
27:49
SBT
27:50
partners
27:50
that
27:50
are
27:51
drop
27:51
shipping
27:51
through
27:52
FedEx
27:52
or
27:52
UPS
27:53
to
27:53
the
27:53
store
27:54
that
27:54
we
27:55
consider
27:55
that
27:55
DSD,
27:56
it's
27:56
direct
27:57
store
27:57
delivery
27:58
that's
27:58
coming,
27:58
you
27:59
know,
27:59
in
27:59
that
27:59
fashion
28:00
to
28:00
the
28:00
store.
28:01
But
28:01
it
28:01
doesn't
28:02
have
28:02
to
28:02
be
28:02
scan
28:02
based
28:02
to
28:03
be
28:03
that.
28:03
I
28:03
mean,
28:04
most
28:04
beverage
28:05
is
28:05
not
28:05
like
28:05
Pepsi,
28:06
Coke
28:06
or
28:06
not
28:06
scan
28:07
based
28:07
anywhere
28:07
that
28:07
I
28:07
know
28:08
of
28:08
today.
28:08
Same
28:09
with
28:09
Frito,
28:09
you
28:10
know,
28:10
regional
28:10
chips.
28:11
Y.
28:11
Yes.
28:12
Regional
28:12
beverage,
28:13
yes.
28:13
But
28:13
the
28:13
big
28:13
guys,
28:14
not
28:14
yet.
28:15
So
28:15
what
28:15
you're
28:16
saying
28:16
essentially
28:16
is
28:16
you
28:16
could
28:17
apply
28:17
scam
28:17
based
28:17
trading
28:18
theories
28:18
that
28:18
we've
28:18
sought,
28:19
we've
28:19
seen
28:19
early
28:19
and
28:20
have
28:20
seen
28:20
for
28:20
a
28:20
long
28:20
time
28:20
in
28:21
categories
28:21
like
28:21
greeting
28:22
cards
28:22
and
28:23
movies
28:23
and
28:23
books.
28:24
We
28:24
could
28:24
apply
28:24
them
28:25
to
28:25
grocery,
28:25
both
28:26
for
28:26
DSD
28:27
products
28:27
as
28:27
well
28:28
as
28:28
traditional
28:28
products
28:28
that
28:29
people
28:29
are
28:29
getting
28:29
from
28:30
the
28:30
CPGs
28:30
in
28:31
the
28:31
dry
28:31
goods
28:31
area
28:31
as
28:32
well.
28:32
Is
28:32
that
28:32
right?
28:33
Yeah.
28:33
So,
28:33
you
28:34
know,
28:34
there,
28:35
there's
28:36
still
28:36
a
28:36
lot
28:36
of
28:36
room.
28:37
There's
28:37
still
28:37
a
28:37
lot
28:37
of
28:37
room.
28:38
So
28:38
you
28:38
know
28:38
anybody.
28:39
So
28:40
we're
28:40
not,
28:40
you
28:40
know,
28:41
we
28:41
don't
28:41
see
28:41
a
28:41
lot
28:41
of
28:41
produce.
28:42
We
28:42
do
28:42
see
28:43
like
28:43
things
28:43
like
28:43
sushi
28:44
being
28:44
made
28:44
in
28:44
store
28:45
or
28:46
delivered
28:46
to
28:46
store
28:47
or
28:48
that
28:48
are
28:48
moving
28:48
towards
28:49
scan
28:49
based
28:49
trading.
28:50
But
28:51
there's
28:51
still
28:51
a
28:51
lot
28:51
of
28:51
room
28:52
there
28:52
on
28:52
the
28:52
DST
28:53
side.
28:53
But
28:53
we
28:54
do
28:54
think
28:54
that
28:54
warehouse
28:55
is
28:55
that
28:55
next
28:56
spot
28:56
because
28:57
a
28:57
lot
28:57
of
28:57
those
28:58
peripheral
28:59
categories
28:59
that
28:59
are
29:00
around
29:00
the
29:00
outside
29:00
of
29:00
the
29:00
store
29:01
have
29:01
moved
29:02
or
29:02
are
29:02
moving
29:02
to
29:02
sbt.
29:03
It's
29:04
that
29:04
center
29:04
store,
29:05
you
29:05
know,
29:05
dry
29:06
goods
29:06
area
29:07
that
29:07
we
29:07
think
29:07
has
29:08
potential.
29:09
And
29:09
there's
29:09
a
29:09
couple
29:09
of
29:09
different
29:10
ways
29:10
that
29:10
we're
29:10
looking
29:10
at
29:11
handling
29:11
that
29:11
for
29:12
our
29:12
retail
29:12
partners.
29:13
Yeah,
29:14
that
29:14
makes
29:14
sense.
29:14
I
29:15
mean,
29:15
especially
29:15
when
29:16
you
29:16
talk
29:16
about
29:16
like
29:16
the
29:16
deli
29:17
area
29:17
and
29:18
things
29:18
like
29:18
that
29:18
and
29:18
short
29:19
all
29:19
the
29:19
shortage
29:20
that
29:20
you
29:20
find
29:20
there
29:20
and
29:20
the
29:21
perishables
29:21
and
29:22
the
29:22
fresh
29:22
fruits
29:23
and
29:23
vegetables
29:23
like
29:23
that.
29:24
There's
29:24
a
29:24
lot
29:24
of
29:24
opportunity
29:25
there.
29:26
Well,
29:26
so
29:27
how
29:27
does
29:27
fintech
29:28
work
29:28
then
29:29
in
29:29
terms
29:29
of
29:30
like
29:30
simplifying
29:30
the
29:31
transition
29:31
to
29:31
sbt?
29:32
Yeah,
29:33
so
29:33
what
29:33
we
29:33
do
29:33
is
29:34
we
29:34
act
29:34
as
29:34
a,
29:35
think
29:35
of
29:35
us
29:36
as
29:36
like
29:36
a
29:36
hub
29:36
between,
29:37
you
29:37
know,
29:37
the
29:37
retailer
29:38
and
29:38
the
29:38
supplier
29:39
community.
29:39
We
29:39
connect
29:40
to
29:40
the,
29:40
to
29:41
the
29:41
retailer.
29:41
Once
29:42
and
29:42
to
29:42
all
29:43
the
29:43
departments
29:43
that
29:43
need
29:43
to
29:44
work
29:44
for
29:44
scan
29:44
based
29:44
trading.
29:45
So
29:45
that's,
29:45
you
29:45
know,
29:46
accounts
29:46
payable,
29:47
the
29:47
data,
29:47
whether
29:48
it's
29:48
EDI
29:48
or
29:49
any
29:49
format,
29:49
they
29:49
want
29:50
to
29:50
send
29:50
us
29:50
that
29:50
POS
29:51
data
29:51
in
29:52
the
29:53
pricing
29:53
team
29:53
or
29:54
catalog
29:54
team
29:54
that
29:54
they
29:55
have,
29:55
we,
29:56
we
29:56
connect
29:56
to
29:57
that
29:57
to
29:57
them
29:57
once
29:58
and
29:58
then
29:58
we
29:58
can
29:58
go
29:58
out
29:59
to
29:59
all
29:59
their
29:59
suppliers
30:00
and
30:00
we
30:00
connect
30:00
individually
30:01
to
30:01
each
30:01
supplier
30:02
as
30:02
those
30:03
suppliers
30:03
need
30:03
and
30:04
map
30:04
to
30:04
their
30:04
needs
30:05
so
30:05
that
30:05
we're
30:06
like
30:06
one
30:06
point
30:06
of
30:06
contact.
30:07
One,
30:07
one
30:08
point
30:08
from
30:08
the
30:08
retailer
30:09
for
30:09
any
30:10
questions
30:10
they
30:10
have
30:10
about
30:10
the
30:11
supplier
30:11
community
30:11
and
30:12
one
30:12
point
30:12
for
30:12
the
30:12
suppliers
30:13
when
30:13
they
30:13
have
30:14
questions
30:14
about,
30:14
hey,
30:15
there
30:15
was
30:15
an
30:16
issue
30:16
or
30:16
I
30:16
have
30:16
a
30:17
price
30:17
change
30:17
coming
30:17
up
30:18
or
30:18
I
30:18
have
30:19
an
30:19
issue
30:19
with
30:19
the
30:19
data
30:20
or
30:20
I
30:20
want
30:20
to
30:20
get
30:20
into
30:21
a
30:21
new
30:21
store.
30:21
We
30:22
act
30:22
as
30:22
that
30:22
centralized
30:23
hub.
30:23
So
30:23
we
30:24
make
30:24
it
30:24
a
30:24
lot
30:24
easier
30:25
for
30:25
retailers
30:25
to
30:26
expand
30:26
SBT
30:28
and
30:28
really
30:28
to
30:29
take
30:29
the
30:29
direct
30:30
SBT
30:30
they're
30:30
doing
30:31
today
30:31
themselves.
30:32
Like
30:32
a
30:32
lot
30:32
of
30:32
retailers
30:33
do
30:33
direct
30:34
SBT
30:34
today
30:34
themselves.
30:35
We
30:36
can
30:36
simplify
30:36
that
30:36
into
30:37
one
30:37
package
30:37
to
30:38
get
30:38
out
30:38
to
30:38
the
30:38
entire
30:39
community
30:39
that's
30:39
doing
30:39
scan
30:40
based
30:40
trading
30:41
under
30:41
that
30:41
retailer.
30:43
That
30:43
makes
30:43
sense.
30:44
Yeah,
30:44
it
30:45
does.
30:45
And
30:45
Russ,
30:46
this
30:47
business
30:47
model
30:47
with
30:48
consignment
30:48
selling
30:49
creates
30:50
an
30:50
opportunity
30:50
for
30:51
growth.
30:51
It
30:51
sounds
30:52
like
30:52
too.
30:52
So
30:53
what
30:53
would
30:54
you
30:54
say,
30:54
you
30:54
know,
30:54
as
30:55
you're
30:55
thinking
30:55
about
30:55
what's
30:56
next
30:56
for
30:57
the
30:57
horizon
30:58
or
30:58
what's
30:58
next
30:58
on
30:59
the
30:59
horizon
30:59
for
31:00
scan
31:00
based
31:01
trading,
31:02
where,
31:02
where
31:02
does
31:02
your
31:02
mind
31:03
go?
31:03
What
31:03
are
31:03
some
31:03
of
31:03
the
31:04
things
31:04
that
31:04
our
31:04
audience
31:05
and
31:05
that
31:05
we
31:05
should
31:05
be
31:06
paying
31:06
attention
31:06
to?
31:07
Yeah,
31:08
thanks.
31:09
Great
31:09
question.
31:10
So
31:10
I,
31:11
I
31:11
think
31:12
anybody
31:12
who's
31:12
not
31:13
talking
31:13
to
31:13
their
31:13
DSD
31:14
customers
31:14
in
31:15
some
31:15
of
31:15
the
31:15
categories
31:15
I
31:16
mentioned
31:17
already,
31:17
you
31:17
know,
31:17
so
31:18
if
31:18
you're,
31:18
if
31:18
you're
31:18
not
31:18
doing
31:20
SBT
31:20
in
31:21
bread,
31:22
propane,
31:22
ice,
31:23
dairy,
31:24
like
31:24
start
31:25
there
31:25
like
31:25
because.
31:26
Yeah,
31:26
right.
31:26
Because
31:27
that's
31:27
a,
31:27
they're,
31:28
they're
31:28
already
31:28
there
31:29
in
31:29
established
31:30
categories.
31:31
Beyond
31:31
that,
31:31
we
31:32
really
31:32
would
31:32
love
31:32
to
31:33
have
31:33
conversations
31:33
with
31:34
around
31:35
the
31:35
warehouse.
31:36
And
31:37
then
31:37
there's
31:37
really
31:38
another
31:38
emerging
31:38
area
31:39
that
31:39
we,
31:39
I'm
31:40
kind
31:40
of
31:40
excited
31:40
about.
31:40
We're
31:41
just
31:41
starting
31:41
conversations
31:42
on.
31:42
And
31:42
that
31:42
is
31:43
we're
31:43
calling
31:43
it,
31:44
I'm
31:44
calling
31:44
it
31:45
pay
31:45
on
31:45
ship.
31:46
And
31:46
that
31:46
is
31:47
where
31:47
you
31:47
actually
31:48
could
31:48
take
31:48
the
31:48
ownership
31:49
in
31:49
the
31:49
DC
31:50
or
31:50
warehouse
31:51
and
31:51
move
31:51
that
31:52
inventory
31:53
to
31:53
the
31:53
supplier
31:54
when.
31:55
So
31:55
when
31:55
they
31:55
ship
31:55
in
31:55
from
31:56
their
31:56
warehouse,
31:56
it's
31:56
like
31:56
they
31:57
move
31:57
their
31:57
warehouse
31:58
into
31:58
the
31:59
warehouse
32:00
and
32:00
then
32:00
they,
32:01
they
32:01
get
32:01
paid
32:01
as
32:01
it
32:02
ships
32:02
to
32:02
the
32:02
store.
32:03
So
32:04
what
32:04
I
32:04
love
32:04
about
32:05
that
32:05
is
32:06
so
32:06
if
32:06
you're
32:07
taking
32:07
it
32:07
back
32:07
a
32:07
level
32:08
from
32:08
the
32:08
store,
32:08
scan
32:09
based
32:09
trading
32:09
to
32:09
the
32:09
warehouse,
32:10
but
32:11
it
32:11
opens
32:11
up
32:11
all
32:12
these
32:12
other
32:12
categories
32:13
and
32:14
national
32:14
brands
32:15
that
32:15
you
32:15
could
32:15
say,
32:15
hey,
32:16
I'd
32:16
love
32:16
for
32:17
you,
32:17
you
32:18
know,
32:18
maybe
32:18
you're
32:18
the
32:18
third,
32:19
fourth,
32:19
fifth
32:19
player
32:19
in
32:20
hot
32:20
sauce
32:20
and
32:20
you
32:21
don't
32:21
turn
32:21
that
32:22
much
32:22
at
32:22
the
32:22
store.
32:23
Right
32:24
guys
32:24
and
32:25
say
32:25
look,
32:25
if
32:26
you
32:26
want
32:26
to
32:26
stay
32:26
in
32:26
our
32:26
store,
32:27
great.
32:27
It
32:28
doesn't
32:28
turn
32:28
that
32:28
much.
32:29
We
32:29
want
32:29
you
32:29
to
32:29
hold
32:29
the
32:29
inventory
32:30
in
32:30
the
32:30
warehouse
32:31
until
32:32
it's
32:32
shipped
32:33
to
32:33
the
32:33
store.
32:33
So
32:34
it
32:34
takes
32:34
all
32:34
that
32:34
cost
32:35
out
32:35
of
32:35
the
32:35
warehouse.
32:36
And
32:37
we
32:37
think
32:37
that's
32:37
a
32:37
real
32:37
interesting
32:38
like
32:38
evolutionary
32:39
shift
32:40
for
32:40
retailers
32:41
to
32:41
look
32:41
at
32:42
for
32:42
scan
32:42
based
32:43
trading
32:43
or
32:43
pay
32:44
on
32:44
ship
32:46
as
32:46
we
32:46
move
32:46
forward.
32:47
We're
32:47
having
32:47
a
32:47
few
32:47
conversations
32:48
now
32:48
and
32:48
they're
32:48
pretty
32:48
exciting.
32:50
Wow,
32:50
that's
32:50
really
32:50
interesting.
32:51
Yeah.
32:51
And
32:51
that's
32:51
probably
32:51
applicable
32:52
across
32:52
all
32:52
levels
32:53
of
32:53
retail
32:53
too.
32:53
Not
32:54
just
32:54
grocery,
32:54
but
32:56
yeah,
32:56
anybody
32:56
who's.
32:57
Got
32:57
a
32:57
truck,
32:57
anybody
32:58
who's
32:58
got,
32:58
you
32:58
know,
32:59
who's
32:59
doing
32:59
self
32:59
delivery
33:00
to
33:00
stores,
33:00
you
33:00
know,
33:01
so
33:01
I
33:01
think,
33:01
you
33:01
know,
33:02
like
33:02
a
33:02
Kroger
33:02
or
33:03
an
33:03
Ahold
33:03
or
33:03
anybody
33:04
like
33:04
that,
33:04
those
33:04
guys,
33:05
you
33:06
know,
33:06
it's,
33:06
it's,
33:06
it's
33:06
an
33:06
interesting
33:07
opportunity
33:07
to
33:07
remove
33:08
cost
33:09
out
33:09
of
33:09
the
33:09
warehouse.
33:10
Yeah,
33:11
yeah.
33:11
So
33:11
I
33:12
want
33:12
to
33:12
go
33:12
back
33:12
though
33:12
because
33:12
I
33:12
want
33:12
to
33:12
make
33:13
sure,
33:13
I
33:13
want
33:13
to
33:13
put
33:13
my
33:14
former
33:14
grocery
33:15
buyer
33:15
hat
33:16
on
33:16
too.
33:16
So
33:16
I
33:16
want
33:16
to
33:16
make
33:16
sure
33:17
we,
33:17
we,
33:17
we
33:17
close
33:17
this
33:18
off
33:18
the
33:18
right
33:18
way.
33:19
So,
33:20
so
33:20
for
33:20
your,
33:20
from
33:21
your
33:21
perspective,
33:22
the,
33:22
the
33:22
rubric
33:23
you
33:23
would,
33:23
you
33:23
would
33:24
tell
33:24
those
33:24
listening
33:25
at
33:25
this
33:25
webinar,
33:26
those
33:26
that
33:26
you're
33:26
going
33:27
to
33:27
interact
33:27
with
33:27
at
33:27
grocery
33:27
shop,
33:28
you
33:28
would
33:28
say,
33:28
you
33:29
know,
33:29
you
33:29
start
33:29
looking
33:30
at
33:30
this
33:30
for
33:30
your
33:30
DSD
33:31
first
33:32
and
33:32
then
33:32
you
33:33
go,
33:33
and
33:33
then
33:33
where
33:34
would
33:34
the
33:34
neck,
33:34
what
33:34
would
33:35
the
33:35
next
33:35
specific
33:36
categories
33:36
be
33:37
in
33:37
the
33:37
grocery
33:37
store
33:38
that
33:38
you
33:38
would
33:38
bring
33:38
on
33:38
maybe
33:39
the
33:39
next
33:39
three
33:39
or
33:39
four
33:40
that
33:40
you'd
33:40
go,
33:40
you'd
33:41
go
33:41
to
33:41
next.
33:42
Yeah.
33:42
So
33:42
we're
33:43
having,
33:43
you
33:43
know,
33:44
I
33:44
think
33:45
anybody
33:45
who's
33:45
not
33:45
doing,
33:46
I'm
33:46
going
33:46
to
33:46
go
33:46
back
33:46
and
33:47
say
33:47
that
33:47
again
33:47
because
33:48
there's
33:48
a
33:48
lot
33:48
of
33:48
people
33:48
who
33:49
aren't
33:49
doing
33:49
these
33:49
things.
33:49
But
33:50
dairy
33:50
is
33:50
one
33:51
that
33:51
we
33:51
see
33:53
a
33:53
lot
33:53
of
33:54
momentum
33:54
on
33:54
at
33:55
the
33:55
moment.
33:55
So
33:56
look
33:56
at
33:56
dairy.
33:57
There's
33:57
a
33:58
lot
33:58
of
33:58
benefits
33:58
to
33:58
moving
33:58
dairy
33:59
to
33:59
scan
34:00
based
34:00
training.
34:00
I
34:01
think
34:01
the
34:01
produce,
34:01
the
34:02
cut
34:02
fruit,
34:02
the
34:03
pre
34:03
made
34:03
sandwiches
34:04
and
34:04
that
34:04
kind
34:05
of
34:05
stuff.
34:05
You
34:05
were
34:05
mentioning
34:06
perishability
34:07
and
34:07
logic.
34:09
That's
34:09
definitely
34:09
an
34:10
area
34:10
to
34:10
look
34:11
at.
34:11
Electronics,
34:12
front
34:12
end,
34:13
any
34:13
of
34:13
that.
34:13
PET
34:15
is
34:15
one
34:15
that
34:16
we
34:16
get
34:16
asked
34:16
about
34:16
a
34:16
lot
34:16
and
34:16
we
34:17
haven't
34:17
gotten
34:18
traction
34:18
on
34:18
yet.
34:18
But
34:18
we
34:19
think
34:19
there's
34:19
a
34:19
lot
34:19
of
34:19
people
34:19
interested
34:20
in
34:20
pet.
34:21
So.
34:22
Yeah,
34:22
so
34:22
I'd
34:23
start
34:23
there.
34:23
And
34:23
then
34:23
again
34:25
I
34:25
do
34:25
think
34:25
we
34:25
can
34:25
handle
34:26
warehouse
34:26
the
34:26
same
34:27
way
34:27
we
34:27
handle
34:27
store.
34:28
So
34:28
find
34:29
categories
34:29
in
34:29
the
34:29
warehouse,
34:30
especially
34:31
areas
34:31
where
34:32
you
34:32
might
34:32
have
34:32
the
34:33
third,
34:33
fourth,
34:33
fifth
34:34
player.
34:34
So
34:35
we're
34:35
not
34:35
talking
34:35
about
34:35
going
34:35
after,
34:36
you
34:36
know,
34:37
Procter
34:37
and
34:37
Gamble
34:37
and
34:38
Tide.
34:38
We're
34:38
talking
34:38
about,
34:39
you
34:39
know,
34:39
find
34:39
somebody,
34:39
you
34:40
know
34:40
who
34:40
are
34:40
third,
34:41
fourth,
34:41
fifth
34:41
player
34:41
and
34:42
move
34:42
them
34:42
to
34:42
scam
34:43
based
34:43
trading
34:43
if
34:43
they
34:43
want
34:43
to
34:44
stay
34:44
in
34:44
the
34:44
store.
34:45
Okay,
34:46
yeah.
34:46
Such
34:47
important
34:47
categories
34:48
too
34:48
that
34:48
you're
34:49
mentioning
34:49
that
34:49
a
34:50
lot
34:50
of
34:50
grocers
34:51
listening
34:51
are
34:51
seeing
34:52
pretty
34:52
tremendous
34:52
growth
34:53
in.
34:53
And
34:53
so
34:54
to
34:54
be
34:54
able
34:54
to
34:54
have
34:55
scam
34:55
based
34:55
training
34:56
set
34:56
up
34:56
I
34:56
would
34:56
think
34:56
would
34:57
help
34:57
their
34:57
operations
34:58
run
34:58
more
34:59
efficiently
34:59
as
34:59
well.
35:00
Huge
35:01
savings.
35:01
You
35:01
know,
35:02
it's,
35:02
it's,
35:03
it's
35:03
an
35:03
amazing
35:03
thing
35:04
to
35:04
take
35:04
that
35:04
inventory
35:05
off
35:05
the
35:05
balance
35:05
sheet.
35:05
But
35:06
then
35:06
just
35:06
in
35:07
store
35:07
this,
35:07
you
35:07
know,
35:08
the
35:08
store
35:08
operators
35:08
love
35:09
it
35:09
because
35:09
they're
35:09
not
35:09
having
35:09
to,
35:10
you
35:10
know,
35:10
and
35:11
suppliers
35:11
like
35:12
it.
35:12
So
35:12
if
35:12
you're
35:12
DSD
35:13
and
35:13
you're
35:13
pulling
35:13
up
35:13
to
35:13
a
35:13
store
35:14
and
35:14
you
35:14
don't
35:14
have
35:14
to
35:14
wait
35:14
behind
35:15
Anheuser
35:16
Busch
35:16
to
35:16
get
35:17
your
35:17
stuff
35:17
counted
35:17
in,
35:18
you
35:18
just
35:19
go
35:19
in
35:19
and
35:19
put
35:19
it
35:19
on
35:19
the
35:19
shelf.
35:20
And
35:20
really,
35:20
you
35:20
know,
35:21
that
35:21
helps
35:21
them
35:21
to
35:21
merchandise
35:22
better.
35:22
It
35:23
helps
35:23
the
35:23
customer
35:23
experience
35:24
because
35:24
the
35:24
products
35:24
are
35:25
there
35:25
and
35:25
you
35:25
know,
35:25
we
35:26
provide
35:26
all
35:26
the
35:26
analytics
35:27
behind
35:27
that
35:27
to
35:27
make
35:28
sure
35:28
that
35:28
on
35:28
shelf,
35:29
you
35:29
know,
35:29
is
35:30
there
35:30
that
35:30
they're
35:30
putting
35:30
the
35:31
right
35:31
products
35:31
in
35:31
the
35:31
right
35:31
place
35:31
at
35:32
the
35:32
right
35:32
time.
35:32
They're
35:33
not
35:33
out
35:33
of
35:33
stock
35:33
all
35:34
that.
35:35
So
35:35
yeah,
35:35
especially
35:35
when
35:36
the
35:36
cost
35:36
of
35:36
your
35:36
inventory
35:36
is
35:37
fluctuating
35:37
wildly
35:38
every
35:38
day
35:39
of
35:39
the
35:39
week
35:39
now
35:39
it
35:39
seems
35:40
like
35:40
too.
35:40
That's
35:41
crazy.
35:41
Yeah,
35:41
we're
35:42
seeing
35:42
that
35:42
a
35:42
lot,
35:42
especially
35:43
on
35:43
our
35:43
GM
35:43
kind
35:44
of
35:44
electronics
35:44
and
35:45
import
35:45
vendors.
35:47
It's
35:47
quite
35:47
a
35:48
time
35:49
right
35:49
now.
35:50
Russ,
35:50
this
35:50
has
35:50
been
35:51
such
35:51
helpful
35:51
information.
35:53
I'm
35:53
wondering
35:53
if
35:53
it's
35:54
possible,
35:54
if
35:55
you
35:55
could
35:55
distill
35:56
down
35:56
like
35:57
one
35:57
thing
35:57
that
35:58
people
35:58
should
35:58
know
35:59
as
35:59
they're
35:59
going
35:59
into
36:00
grocery
36:01
shop
36:01
about
36:02
scan
36:02
based
36:02
trading
36:03
with
36:03
fintech.
36:03
What
36:04
would
36:04
that
36:04
one
36:04
thing
36:05
be
36:05
that
36:05
they
36:06
should
36:06
have?
36:06
Top
36:06
of
36:06
mind.
36:07
Yeah,
36:07
I
36:08
mean
36:08
I
36:08
think
36:09
look
36:10
at
36:10
scan
36:10
based
36:10
trading
36:11
as
36:11
a
36:11
way
36:11
to
36:11
improve
36:12
the
36:13
economics
36:13
in
36:13
your
36:14
store,
36:14
your
36:14
balance
36:15
sheet.
36:15
Take
36:15
that
36:16
valuable
36:16
inventory
36:17
off
36:17
your
36:17
books
36:17
right
36:18
now
36:18
as
36:18
you're
36:18
competing
36:19
against
36:20
the
36:20
economy,
36:21
against
36:21
Amazon,
36:22
against
36:22
everybody
36:23
else
36:23
out
36:23
there.
36:23
Scam
36:24
based
36:24
trading
36:24
is
36:24
a
36:24
great
36:25
way
36:25
to
36:25
reduce
36:26
inventory
36:27
and
36:27
take
36:27
that
36:27
cost
36:28
off
36:28
the
36:28
balance
36:28
sheet
36:29
and
36:29
we
36:29
are
36:29
here
36:29
to
36:30
help
36:30
with
36:30
that.
36:30
So.
36:31
Well,
36:31
if
36:32
people
36:32
want
36:32
to
36:32
get
36:32
in
36:33
touch
36:33
with
36:33
you
36:33
at
36:34
grocery
36:34
shop,
36:34
they
36:35
want
36:35
to
36:35
set
36:35
up
36:35
a
36:35
meeting,
36:36
find
36:36
out
36:36
how
36:36
fintech
36:37
can
36:37
help
36:38
what's
36:38
the
36:38
best
36:39
way
36:39
for
36:39
them
36:39
to
36:39
do
36:39
that?
36:40
Yeah,
36:41
so
36:41
just
36:41
send
36:41
me
36:41
an
36:42
email.
36:42
It's
36:42
rfantech.com
36:44
I'll
36:45
be
36:45
at
36:45
Grocery
36:45
shop.
36:46
I'd
36:46
love
36:46
to
36:46
set
36:46
some
36:47
time
36:47
and
36:47
a
36:47
meeting
36:48
there
36:48
with
36:49
anybody
36:49
who's
36:49
interested
36:50
in
36:51
taking
36:51
their
36:51
current
36:51
SBT
36:52
and
36:52
moving
36:52
it
36:52
to
36:52
us
36:52
and
36:53
expanding
36:53
SVT
36:54
in
36:54
general.
36:54
We're
36:54
here
36:54
to
36:54
help.
36:55
All
36:55
right,
36:55
well,
36:56
for
36:56
those
36:56
that
36:56
are
36:56
watching,
36:57
we're
36:57
in
36:57
the
36:57
home
36:58
stretch
36:58
now,
36:58
and
36:59
we
36:59
are
36:59
going
36:59
to
37:00
turn
37:00
our
37:00
attention
37:00
now
37:01
to
37:01
how
37:01
AI
37:02
can
37:02
be
37:02
leveraged
37:02
as
37:02
a
37:03
tool
37:03
to
37:04
manage
37:04
some
37:04
of
37:04
those
37:04
supplier
37:05
negotiations.
37:06
Joining
37:06
us
37:07
now
37:07
is
37:07
Michael
37:08
Gabbay.
37:08
Michael
37:09
is
37:09
the
37:09
CEO
37:10
of
37:10
gain,
37:11
and
37:11
he
37:12
wants
37:12
to
37:12
help
37:12
grocers
37:13
leverage
37:13
AI
37:14
to
37:14
improve
37:15
procurement.
37:16
Michael,
37:17
welcome
37:17
to
37:17
the
37:17
show.
37:17
It's
37:18
been
37:18
a
37:18
little
37:18
while
37:18
since
37:19
we've
37:19
had
37:19
you
37:19
on.
37:20
Thank
37:21
you.
37:21
Pleasure
37:21
to
37:21
be
37:22
here
37:22
with
37:22
you.
37:23
Yeah,
37:24
so.
37:25
So,
37:25
Michael,
37:25
tell
37:25
us
37:25
about
37:26
your
37:26
background.
37:26
I
37:26
mean,
37:26
we
37:26
know
37:27
you
37:27
from
37:27
your
37:27
Trigo
37:28
days,
37:28
but
37:28
tell
37:28
us
37:28
about
37:29
your
37:29
background
37:29
and
37:30
GAIN
37:30
and
37:30
how
37:30
GAIN
37:31
specifically
37:32
came
37:32
to
37:32
be.
37:33
Yeah,
37:33
so,
37:34
yeah,
37:34
as
37:34
you
37:34
know,
37:35
I
37:35
was
37:35
the
37:35
CEO
37:35
of
37:36
Trigo,
37:37
the
37:37
autonomous
37:38
stores
37:38
company,
37:39
was
37:40
working
37:40
with
37:40
some
37:40
of
37:40
the
37:40
largest
37:41
retailers
37:42
around
37:43
the
37:43
world.
37:44
And
37:44
actually,
37:45
about
37:45
a
37:45
year
37:46
ago,
37:46
we
37:46
decided
37:46
to
37:46
start
37:47
something
37:47
new,
37:47
me
37:48
and
37:48
my
37:48
co
37:49
founders,
37:50
and
37:50
we
37:52
started
37:52
to
37:53
explore
37:54
other
37:54
idea,
37:55
a
37:55
new
37:55
idea
37:56
of
37:56
kind
37:56
of
37:57
pricing
37:57
optimization
37:59
between
37:59
retailers
38:00
and
38:01
CPGs.
38:02
And
38:02
during
38:03
that
38:03
process
38:04
of
38:04
exploration,
38:05
we
38:05
discovered,
38:06
and
38:06
we
38:06
didn't
38:06
know
38:07
that
38:08
they
38:08
have
38:08
kind
38:08
of
38:08
a
38:08
communication
38:09
issue
38:10
between
38:10
the
38:10
retailers
38:11
and
38:11
the
38:11
cpg
38:12
and
38:12
the
38:12
inability
38:13
to
38:13
actually
38:14
communicate
38:14
and
38:15
negotiate
38:17
with,
38:18
you
38:18
know,
38:18
with
38:19
the
38:19
long
38:19
tail
38:19
of
38:20
suppliers
38:20
for
38:21
the
38:21
retailers
38:21
and
38:22
for
38:23
the
38:23
CPGs.
38:24
So
38:24
that,
38:25
that's
38:25
how
38:25
it
38:25
all
38:25
started.
38:26
And
38:26
today
38:26
it's
38:27
much
38:27
more
38:27
than
38:28
just
38:28
negotiation
38:29
capabilities.
38:29
We
38:29
are
38:30
going
38:30
to
38:30
provide
38:30
a
38:30
full
38:31
platform
38:31
of
38:31
the
38:32
entire,
38:32
I
38:32
would
38:32
say
38:33
mentioned
38:33
and
38:33
procurement
38:34
capabilities
38:35
for
38:35
the
38:35
retailers
38:36
and
38:37
for
38:37
the
38:37
CPG
38:38
companies.
38:39
Well,
38:40
Michael,
38:40
let's
38:40
dive
38:41
a
38:41
little
38:41
bit
38:41
into
38:41
that,
38:41
because
38:42
you
38:42
mentioned
38:42
at
38:42
Trigo,
38:43
you
38:43
were
38:43
working
38:44
with
38:44
several
38:45
major
38:46
retailers
38:46
in
38:46
the
38:46
grocery
38:47
and
38:47
convenience
38:48
space.
38:49
You're
38:49
talking
38:49
to
38:50
so
38:50
many
38:50
of
38:50
them
38:50
now
38:51
in
38:51
your
38:51
role
38:51
at
38:51
gain,
38:52
what
38:52
would
38:52
you
38:53
say
38:53
is
38:54
the
38:54
biggest
38:54
challenge
38:55
that
38:55
they're
38:55
facing
38:56
right
38:56
now?
38:57
And
38:57
especially
38:58
in
38:58
that
38:58
area
38:59
of
38:59
that
38:59
connectivity
39:00
between
39:01
the
39:01
CPGs
39:02
and
39:02
the
39:02
retail
39:02
retailers?
39:04
Yeah,
39:04
I
39:04
think
39:04
it's
39:05
always
39:06
the
39:06
margins
39:07
and
39:07
the
39:07
customer
39:07
expectations.
39:08
Right.
39:09
And
39:11
this
39:11
is
39:11
where
39:11
we
39:11
are
39:12
coming.
39:12
We
39:12
come
39:12
to
39:12
help
39:12
them
39:13
in
39:13
the
39:13
bottom
39:13
line
39:14
of
39:14
their
39:15
profitability.
39:17
And
39:18
so
39:18
what
39:19
we
39:19
discovered
39:20
is
39:20
that
39:22
they
39:22
today,
39:23
for
39:24
example,
39:24
retailers,
39:25
they
39:26
have
39:26
kind
39:26
of
39:27
80
39:28
to
39:28
90%
39:29
of
39:29
their
39:29
suppliers,
39:29
rely
39:30
on
39:30
10
39:30
to
39:30
20%
39:32
of
39:32
the
39:33
total
39:33
spend.
39:34
And
39:34
they're
39:34
just
39:35
neglecting
39:36
those
39:36
suppliers
39:36
and
39:36
they're
39:37
not
39:37
negotiating
39:37
with
39:38
them.
39:38
They
39:38
are
39:39
more
39:39
focusing
39:39
on
39:40
the
39:40
10
39:40
to
39:40
20%
39:41
of
39:41
their
39:41
suppliers
39:42
that
39:42
rely
39:42
on
39:43
80
39:44
to
39:44
90%
39:44
of
39:46
the
39:46
total
39:46
spend.
39:48
So
39:48
in
39:48
fact,
39:49
at
39:49
the
39:49
end
39:49
of
39:49
the
39:49
day,
39:50
there
39:50
are
39:50
billions
39:50
of
39:50
dollars
39:51
for
39:51
some
39:51
of
39:51
the
39:51
retailers
39:52
that
39:53
they
39:53
can
39:53
start
39:54
to
39:55
save
39:56
money
39:57
from
39:58
from
39:58
those
39:59
billions
39:59
of
39:59
dollars
39:59
when
40:00
they
40:00
would
40:00
just
40:00
start
40:00
to
40:01
talk
40:01
to
40:01
those
40:01
suppliers
40:01
and
40:02
negotiating
40:02
with
40:03
them
40:04
now
40:04
in
40:05
day
40:05
to
40:05
day.
40:07
So
40:07
how
40:07
does
40:07
gain
40:08
kind
40:08
of
40:09
move
40:09
in
40:09
then,
40:10
Michael?
40:10
Like
40:11
what
40:11
is
40:11
gain
40:11
doing
40:12
to
40:12
kind
40:12
of
40:12
help
40:13
them
40:13
expose
40:14
where
40:14
those
40:15
areas
40:15
of
40:16
potential
40:16
profitability
40:18
lie?
40:19
Yeah,
40:19
so
40:20
I
40:20
think
40:20
first
40:20
it's
40:21
important
40:21
to
40:21
understand
40:21
the
40:22
new
40:22
capabilities
40:23
and
40:23
what
40:23
we
40:24
are
40:24
providing
40:24
AI
40:25
employees.
40:26
And
40:26
employees
40:27
mean
40:27
that
40:29
of
40:29
course,
40:30
it's
40:30
not
40:30
really
40:31
not
40:32
human,
40:32
it's
40:32
an
40:33
AI,
40:34
but
40:34
it
40:34
talks
40:35
like
40:35
human
40:35
and
40:36
it
40:36
communicates
40:37
like
40:37
human
40:37
now
40:38
over
40:38
text.
40:39
But
40:39
in
40:39
the
40:39
future
40:40
also
40:41
it
40:41
will
40:41
talk
40:42
and
40:43
it
40:43
can
40:43
run
40:43
bitcoin
40:44
software
40:44
the
40:45
organization
40:48
and
40:49
of
40:49
course
40:49
talk
40:49
to
40:50
other
40:53
companies
40:53
outside
40:54
of
40:54
the
40:55
organization.
40:56
And
40:56
they
40:56
are
40:56
much
40:56
more
40:57
efficient
40:57
in
40:58
some
40:58
cases
40:58
than
40:59
humans.
40:59
So
41:00
if
41:00
for
41:01
us,
41:01
for
41:01
the
41:01
humans,
41:01
it
41:01
can
41:02
take
41:02
a
41:02
week
41:03
or
41:03
two
41:03
to
41:03
analyze
41:04
data
41:04
for
41:04
them,
41:05
it
41:05
will
41:06
take
41:06
one
41:06
minute.
41:07
So
41:08
we
41:08
are
41:09
now
41:09
developing
41:10
three
41:11
employees.
41:12
The
41:12
first
41:12
called
41:12
Natalie.
41:13
Natalie,
41:14
she
41:14
is
41:14
the
41:14
category
41:15
manager
41:15
and
41:15
negotiation
41:16
expert
41:16
for
41:16
the
41:17
retailers.
41:17
We
41:18
are
41:18
also
41:19
developing
41:19
in
41:19
parallel,
41:20
Bob.
41:21
Bob
41:21
is
41:21
the
41:22
tactical
41:22
buyer.
41:23
He's
41:24
doing
41:24
all
41:24
those
41:24
tactical
41:25
stuff
41:25
that
41:25
buyers
41:26
are
41:26
doing.
41:26
I
41:27
mean,
41:27
put
41:27
data
41:28
into
41:28
dop,
41:29
send
41:29
the
41:29
PO
41:29
to
41:30
the
41:30
suppliers,
41:31
all
41:31
of
41:31
those
41:33
staff.
41:33
And
41:33
in
41:33
the
41:34
future
41:34
we
41:35
are
41:35
going
41:35
also
41:35
to
41:35
develop
41:36
Sophie,
41:37
supply
41:38
manager,
41:38
to
41:39
help
41:39
them
41:39
to
41:39
onboard
41:40
new
41:40
suppliers
41:41
to
41:41
the
41:41
organization.
41:42
That's
41:42
another
41:42
big
41:42
issue
41:43
that
41:43
we're
41:43
not
41:44
now
41:44
developing,
41:45
but
41:45
that
41:45
it,
41:45
it's
41:46
on
41:46
the
41:46
plan.
41:48
So
41:48
what
41:48
are,
41:49
what
41:49
are
41:49
some
41:49
of
41:50
the,
41:50
the
41:51
companies
41:51
that
41:51
you're
41:51
working
41:51
with?
41:52
I
41:52
mean,
41:52
AI
41:52
employees
41:53
is
41:53
a
41:53
new
41:54
thing.
41:54
This
41:54
is
41:54
the
41:54
first
41:54
time
41:55
that,
41:55
I
41:55
mean,
41:55
I've
41:56
talked
41:56
to
41:56
somebody
41:57
who's
41:57
actually
41:57
deploying
41:58
them
41:58
in
41:58
practice.
41:59
But
42:00
so
42:00
if,
42:00
if
42:01
what
42:01
you're
42:01
saying
42:02
I'm
42:02
understanding
42:03
correctly,
42:03
it's
42:04
there.
42:04
These
42:04
AI
42:05
employees
42:06
are
42:06
kind
42:06
of
42:06
doing
42:07
the
42:07
work
42:07
of,
42:08
of
42:08
buyers,
42:09
of
42:09
sourcing
42:10
teams
42:11
and
42:11
of
42:12
negotiating
42:12
teams
42:13
to
42:13
really
42:13
figure
42:13
out
42:14
and
42:15
present
42:15
the
42:16
merchants
42:16
with,
42:17
here's
42:17
the
42:17
scenario,
42:18
here's
42:18
the
42:19
areas
42:19
of
42:19
opportunity,
42:20
here's
42:21
areas
42:21
where
42:21
you
42:21
potentially
42:22
might
42:22
want
42:22
to
42:22
negotiate
42:23
and
42:23
then
42:24
it's
42:24
able
42:24
to
42:25
communicate
42:25
with
42:26
partners
42:27
on
42:27
your
42:27
behalf
42:28
if
42:28
you
42:28
want
42:29
them
42:29
to.
42:30
Or
42:30
are
42:30
the,
42:31
are
42:31
the,
42:31
are
42:31
the,
42:32
the
42:32
merchants
42:32
still
42:32
involved
42:33
in
42:33
the,
42:33
in
42:34
some
42:34
of
42:34
those
42:34
communications?
42:35
I
42:36
mean,
42:36
they're
42:36
always
42:36
using
42:37
the
42:37
loop.
42:38
So
42:38
the
42:38
merchant
42:39
can
42:39
be
42:40
involved
42:40
at
42:40
the
42:40
bar,
42:40
at
42:41
the,
42:41
at
42:41
every
42:42
part
42:42
of
42:42
the
42:42
process
42:43
if
42:43
they
42:44
want
42:44
to,
42:44
if
42:45
they
42:45
can
42:45
send
42:46
the
42:46
employee
42:46
to
42:46
do
42:46
the
42:47
work
42:47
or
42:48
they
42:48
can
42:48
be
42:49
part
42:49
of
42:49
each
42:51
step
42:51
in
42:52
the
42:52
process.
42:52
But
42:53
what
42:53
we
42:53
see
42:54
today,
42:54
that
42:55
they
42:55
are
42:55
stuck
42:56
in
42:56
the
42:56
heavy
42:57
admin
42:57
work
42:58
that
42:58
they
42:58
have
42:59
and
43:00
many
43:00
things
43:02
they're
43:02
not
43:02
doing
43:03
because
43:04
nobody
43:04
can
43:05
handle
43:06
so
43:06
much
43:06
work
43:07
that
43:07
the
43:07
retailers
43:08
always
43:08
have.
43:09
So,
43:10
so,
43:11
so
43:11
the
43:11
idea
43:12
that
43:12
they
43:12
will
43:12
do
43:12
it
43:12
for
43:13
them
43:13
and
43:13
the
43:14
category
43:14
managers
43:15
and
43:15
the
43:15
buyers
43:16
will
43:16
be
43:16
really
43:16
managers
43:17
and
43:18
they
43:18
will
43:18
manage
43:18
the
43:19
employees
43:20
that
43:20
are
43:20
doing
43:21
the
43:21
work
43:21
for
43:21
them.
43:21
And
43:22
yes
43:23
it
43:23
communicate
43:23
and
43:24
talk
43:24
and
43:25
text
43:25
freely
43:26
like
43:26
human.
43:27
You
43:27
can't
43:27
even
43:27
really
43:27
understand
43:28
that
43:28
it's
43:28
an
43:29
AI.
43:31
And
43:31
in,
43:32
in,
43:33
in
43:33
reality
43:34
the
43:34
idea
43:34
that
43:35
they
43:35
are
43:35
coming
43:36
to
43:36
the
43:36
category
43:37
managers,
43:37
they're
43:37
coming
43:37
to
43:38
the
43:38
buyers
43:38
with
43:38
the
43:38
opportunity.
43:39
They
43:39
analyze
43:40
the
43:40
data
43:40
all
43:41
of
43:41
the
43:41
time
43:42
and
43:42
then
43:43
come
43:43
with
43:43
the
43:43
opportunity
43:44
and
43:44
ask
43:44
them,
43:44
do
43:45
you
43:45
want
43:45
me
43:45
to
43:45
start
43:46
to
43:46
negotiate?
43:46
Do
43:47
you
43:47
want
43:47
me
43:47
to
43:47
talk
43:48
with
43:48
these
43:48
suppliers?
43:49
And
43:49
if
43:49
they're
43:50
saying
43:50
yes,
43:51
they
43:51
will
43:51
do
43:51
it.
43:52
Wow.
43:52
Yeah,
43:53
wow.
43:53
As
43:53
a
43:53
former
43:54
buyer,
43:55
I'm
43:56
kind
43:56
of
43:56
digging
43:56
on
43:56
this,
43:56
Michael.
43:57
I
43:57
would
43:57
have
43:58
loved
43:58
to
43:58
have
43:59
an
43:59
AI
43:59
person
44:00
working
44:00
for
44:00
me
44:01
to
44:01
do
44:01
what
44:01
you're
44:01
talking
44:02
about
44:02
and
44:03
particularly
44:03
in
44:03
the
44:03
online
44:03
space.
44:04
I
44:04
think
44:04
I,
44:04
I,
44:05
you
44:05
know,
44:05
I
44:05
think
44:05
of
44:05
when
44:05
I
44:05
think
44:05
about
44:06
my
44:06
online
44:06
assortment
44:07
building
44:07
strategy
44:08
like
44:08
this
44:08
would
44:08
work
44:08
particularly
44:09
well
44:09
there.
44:09
And
44:10
then
44:10
to
44:10
your
44:11
point,
44:11
for
44:11
the
44:11
store
44:12
level
44:12
assortment
44:12
strategy,
44:13
I'd
44:13
probably
44:13
want
44:13
to
44:14
be
44:14
more
44:14
in
44:15
the
44:15
loop
44:15
and
44:15
overseeing
44:16
the
44:16
decisions
44:17
that
44:17
were
44:17
potentially
44:18
being
44:18
made,
44:18
you
44:19
know,
44:19
by
44:19
this
44:19
AI
44:21
software.
44:22
But
44:22
yeah,
44:22
it
44:22
sounds
44:22
really
44:23
interesting.
44:23
So
44:24
kudos
44:24
too
44:24
as
44:25
well.
44:25
You
44:25
guys
44:25
are
44:25
going
44:25
to
44:26
be
44:26
on
44:26
stage
44:26
at
44:27
grocery
44:27
shop,
44:27
are
44:27
you
44:28
not?
44:28
You're
44:28
going
44:28
to
44:28
be
44:28
on
44:29
stage?
44:29
Yeah,
44:29
I'm
44:29
going
44:30
to.
44:30
What
44:30
is,
44:30
so
44:31
what
44:31
are
44:31
some
44:32
of
44:32
the
44:32
big
44:32
things
44:32
you're
44:32
sharing
44:33
there?
44:33
And
44:33
do
44:33
you
44:33
have
44:33
any
44:34
announcements
44:34
you
44:34
guys
44:34
are
44:35
going
44:35
to
44:35
debut
44:35
at
44:35
the
44:35
show?
44:36
Yeah,
44:36
we're
44:37
going
44:37
to
44:37
announce
44:37
the
44:37
big
44:38
round,
44:38
the
44:38
big
44:38
seed
44:38
round
44:39
that.
44:39
Oh
44:40
wow.
44:40
That
44:41
we
44:41
had.
44:41
Yeah,
44:42
yeah,
44:42
it's
44:42
going
44:42
to
44:42
be
44:43
a
44:44
very
44:44
big
44:44
seed
44:45
round
44:45
that,
44:46
that
44:46
we
44:46
are
44:46
going
44:47
to,
44:47
to
44:48
announce
44:49
general
44:49
availability.
44:50
I
44:50
mean
44:50
the.
44:50
So
44:51
we
44:51
are
44:51
now
44:51
testing
44:52
the
44:52
system
44:52
and
44:53
started
44:53
to
44:53
negotiate
44:54
with
44:54
suppliers.
44:54
But
44:55
this
44:55
fall
44:55
is
44:56
going
44:56
to
44:56
be,
44:57
I
44:57
mean
44:57
a
44:57
running
44:57
system
44:58
already
44:59
with
45:00
some
45:00
of
45:00
the
45:00
largest
45:01
retailers
45:01
in
45:01
the
45:02
world
45:02
and
45:02
also
45:02
CPG
45:03
companies.
45:04
So
45:05
we
45:05
are
45:05
already
45:05
working
45:06
with
45:06
those
45:06
companies.
45:07
As
45:07
you
45:07
know,
45:08
I
45:08
know
45:09
some
45:09
companies
45:10
and
45:10
I
45:11
need
45:11
to
45:11
work
45:11
with
45:11
some
45:12
very
45:12
large
45:13
retailers
45:13
and
45:13
they're
45:14
already
45:14
testing
45:14
now
45:15
the
45:15
system
45:15
and
45:16
some
45:16
already
45:16
started
45:16
A
45:17
bit
45:17
to
45:18
test
45:18
it
45:18
with
45:19
suppliers.
45:19
And
45:19
the
45:20
idea
45:20
here
45:20
that
45:20
it
45:20
will
45:21
be
45:21
a
45:21
real
45:21
tool
45:22
that
45:22
start
45:22
to
45:23
negotiate,
45:24
you
45:24
know,
45:25
in
45:26
a
45:26
very
45:26
large
45:26
scale
45:27
with
45:28
thousands
45:29
of
45:29
suppliers.
45:30
So,
45:31
Michael,
45:31
you
45:31
envision
45:31
the
45:32
CPGs
45:32
using
45:32
this
45:33
too.
45:33
So
45:33
that's
45:33
a
45:33
note
45:33
for
45:34
all
45:34
the
45:34
buyers
45:34
of
45:34
merchandisers,
45:35
retailers
45:36
out
45:36
there
45:36
too.
45:36
The
45:36
CBGs
45:37
might
45:37
start
45:37
talking
45:37
to
45:38
this
45:38
way
45:38
as
45:38
well.
45:38
So
45:39
keep
45:39
an
45:39
eye
45:39
out
45:39
for
45:39
that.
45:40
Is
45:40
that
45:40
right?
45:41
Yeah,
45:41
actually,
45:42
yeah,
45:42
but
45:42
we
45:42
are
45:42
working
45:43
with
45:43
the
45:43
CPGs
45:44
for
45:44
their
45:44
suppliers.
45:46
Okay,
45:46
got
45:46
it,
45:46
got
45:47
it.
45:49
That's
45:49
the
45:50
next
45:50
round.
45:50
Yeah,
45:50
right,
45:51
yeah,
45:51
yeah.
45:52
But
45:52
yeah,
45:53
we're
45:53
working
45:53
with
45:53
TPGs
45:54
as
45:54
well.
45:54
They
45:55
have
45:56
similar
45:57
situations.
45:58
Right,
45:58
that
45:58
makes
45:59
sense.
45:59
Yep.
45:59
Yeah,
46:00
yeah,
46:00
it's.
46:01
It's
46:01
kind
46:02
of
46:02
also
46:02
the
46:02
same
46:02
way
46:03
they
46:03
negotiate
46:03
with
46:04
their
46:04
suppliers,
46:04
by
46:04
the
46:04
way.
46:05
Right.
46:05
So
46:05
it's.
46:06
It's
46:06
the
46:06
same.
46:07
It's
46:08
the
46:08
same
46:08
product
46:08
with
46:09
some,
46:09
you
46:09
know,
46:10
small
46:11
differences
46:11
but.
46:12
But
46:12
same.
46:13
Same
46:13
product.
46:14
Right.
46:14
The
46:14
8020
46:15
rules
46:15
apply
46:15
everywhere.
46:16
Right?
46:17
Yeah,
46:17
exactly.
46:19
Michael,
46:20
a
46:21
seed
46:21
round
46:21
that
46:22
you
46:22
have
46:22
that's
46:23
coming
46:23
up
46:23
here.
46:24
You're
46:24
going
46:24
to
46:25
be
46:25
on
46:25
stage
46:25
at
46:25
Grocery
46:26
Shop.
46:26
We're
46:27
moving
46:27
into
46:27
CPG
46:28
specifically
46:29
in
46:29
addition
46:30
to
46:30
retailer
46:31
and
46:31
brand
46:32
negotiations.
46:33
What
46:33
else
46:34
is
46:34
ahead
46:34
for
46:34
gain
46:35
this
46:35
year?
46:37
I
46:37
think
46:37
deployment
46:38
now.
46:39
Deployment
46:40
with
46:40
many
46:41
companies,
46:41
many
46:42
retailers,
46:43
specifically
46:44
in
46:44
the
46:44
US
46:45
So
46:45
we
46:45
have
46:45
a
46:46
team
46:46
now,
46:46
a
46:46
small
46:46
team
46:47
in
46:47
the
46:47
US
46:47
we
46:47
are
46:47
going
46:47
to
46:48
expand
46:48
the
46:48
team
46:49
in
46:50
the
46:50
US
46:51
we
46:51
are
46:52
going
46:52
next
46:52
year
46:52
to
46:52
develop
46:53
Sophie
46:53
as
46:53
well,
46:54
the
46:54
ability
46:54
to
46:55
onboard
46:55
new
46:55
suppliers
46:56
and
46:56
also
46:57
Mark
46:57
for
46:57
the
46:58
marketplaces.
46:59
But
46:59
this
46:59
is
46:59
for
46:59
the
47:00
next
47:00
time.
47:01
And
47:03
yeah,
47:03
I
47:04
think
47:05
the
47:05
most
47:05
important
47:06
thing,
47:06
I
47:06
think
47:06
that
47:07
it
47:07
will
47:07
become
47:07
the
47:07
new
47:08
normal.
47:08
So
47:08
now
47:09
it
47:09
sounds
47:09
like
47:11
futuristic,
47:11
but
47:12
for
47:12
us,
47:13
we
47:13
are
47:13
building
47:13
it
47:13
as
47:14
a
47:14
new
47:15
tool,
47:15
a
47:15
new
47:16
software
47:17
for
47:18
the
47:18
retailers
47:18
actually
47:19
to
47:19
use
47:19
it.
47:20
So
47:20
get
47:20
to
47:20
know
47:21
Bob,
47:21
Mark,
47:22
Sophia,
47:23
and
47:24
who
47:24
am
47:24
I?
47:25
Natalie.
47:26
Yes.
47:26
I
47:27
mean
47:27
the
47:27
first
47:27
one,
47:28
Natalie.
47:28
Yeah,
47:30
Sounds
47:30
like
47:30
the
47:30
facts
47:31
of
47:31
life.
47:32
All
47:32
right.
47:32
Well,
47:32
I
47:32
imagine
47:33
there's
47:33
going
47:33
to
47:33
be
47:33
some
47:33
merchants
47:34
watching
47:34
this
47:34
and
47:35
some
47:35
merchants
47:35
that
47:35
are
47:35
out
47:35
at
47:36
Grocery
47:36
Shop
47:36
that
47:37
will
47:37
see
47:37
you
47:37
on
47:37
stage
47:37
that
47:37
are
47:37
going
47:38
to
47:38
be
47:38
interested
47:39
and
47:39
intrigued
47:39
to
47:39
see
47:40
how
47:40
they
47:40
can
47:40
apply
47:40
this
47:40
and
47:41
potentially
47:41
make
47:41
their
47:42
jobs
47:43
much,
47:43
much
47:43
easier
47:43
too.
47:44
That's
47:44
the
47:44
thing
47:44
I
47:44
like
47:44
about
47:45
this
47:45
most.
47:46
So
47:46
if
47:46
people
47:46
want
47:46
to
47:46
get
47:47
in
47:47
touch
47:47
with
47:47
you,
47:47
what's
47:48
the
47:48
best
47:48
way
47:48
for
47:48
them
47:48
to
47:48
do
47:49
that?
47:49
Both
47:50
following
47:51
this
47:51
conversation
47:52
and
47:52
then
47:52
at
47:52
Grocery
47:52
Shop
47:53
as
47:53
well.
47:54
Yeah,
47:54
so
47:54
we
47:55
have
47:55
our
47:55
website,
47:55
getgain.com
47:56
you
47:57
can
47:57
just
47:57
text
47:57
us
47:57
there
47:59
and
47:59
also
48:00
through
48:01
email
48:01
or
48:01
message
48:02
us,
48:02
LinkedIn,
48:02
anything.
48:03
We
48:04
are
48:04
available.
48:05
All
48:05
right,
48:05
Michael,
48:05
and
48:05
one
48:06
more
48:06
time,
48:07
where
48:07
can
48:07
people
48:08
Find
48:08
you.
48:08
You're
48:08
going
48:08
to
48:08
be
48:09
in
48:09
the
48:09
startup
48:09
pitch
48:10
competition.
48:11
Where
48:12
can
48:12
people
48:12
find
48:12
you?
48:13
At
48:13
grocery
48:13
shop.
48:13
Where
48:14
are
48:14
you
48:14
going
48:14
to
48:14
be
48:14
on
48:14
stage?
48:15
Yes.
48:15
I'm
48:16
going
48:16
to
48:16
be
48:16
on
48:16
Monday
48:17
the
48:17
29th
48:18
at
48:19
the
48:19
Green
48:19
Light
48:20
Stage
48:20
at
48:20
9:50.
48:22
I'll
48:22
be
48:22
there.
48:23
Hope
48:23
to
48:23
see
48:23
you
48:23
there.
48:25
Excellent.
48:25
We're
48:26
excited.
48:27
I'm
48:28
pulling
48:28
for
48:28
you,
48:28
man.
48:28
I
48:29
think
48:29
you
48:29
got
48:29
a
48:29
shot
48:29
of
48:29
winning
48:30
that
48:30
thing.
48:30
I
48:30
think
48:30
you
48:31
got
48:31
a
48:31
shot.
48:33
Next
48:34
up,
48:34
we
48:34
have
48:34
Constructor
48:35
CEO
48:35
and
48:36
co
48:36
founder
48:36
Ellie
48:37
Finkelstein.
48:38
Ellie,
48:39
let's
48:39
kick
48:39
things
48:40
off
48:40
here
48:40
by
48:40
getting
48:41
a
48:41
little
48:41
bit
48:41
of
48:41
your
48:41
background
48:42
because
48:42
this
48:42
is
48:42
the
48:43
first
48:43
time
48:43
that
48:43
we're
48:44
meeting
48:44
you
48:44
as
48:44
an
48:44
amitalk
48:45
audience.
48:46
So
48:46
share
48:46
with
48:46
us
48:47
your
48:47
background
48:47
and
48:48
then
48:48
a
48:48
little
48:48
bit
48:49
about
48:49
Constructor,
48:50
if
48:50
you
48:50
would.
48:51
Thank
48:51
you
48:51
very
48:51
much
48:51
for
48:51
having
48:52
me.
48:53
I'm
48:53
Ellie,
48:53
I'm
48:54
one
48:54
of
48:54
the
48:54
co
48:54
founders
48:55
and
48:55
the
48:55
CEO
48:55
of
48:55
Constructor.
48:56
My
48:56
background
48:57
from
48:57
before
48:57
this
48:57
was
48:57
was
48:58
computational
48:58
linguistics
48:59
and
48:59
data
48:59
science.
49:00
I
49:01
was
49:01
working
49:02
just
49:02
that
49:05
I
49:05
like
49:06
languages
49:06
and
49:06
I
49:07
like
49:07
data
49:07
science,
49:08
machine
49:08
learning
49:08
and
49:08
AI
49:09
stuff.
49:09
So
49:10
that's
49:11
kind
49:11
of
49:11
what
49:11
got
49:11
me
49:12
into
49:12
this
49:12
space
49:13
of
49:13
what
49:13
Constructor
49:14
does,
49:15
which
49:15
is
49:15
search
49:16
and
49:16
discovery.
49:17
Okay.
49:18
So
49:18
we
49:18
work
49:19
with
49:19
a
49:19
bunch
49:19
of
49:20
e
49:20
commerce
49:20
companies
49:22
like
49:22
Sephora,
49:23
like
49:24
Under
49:24
Armour,
49:24
like
49:24
Petco,
49:26
and
49:26
when
49:26
you
49:26
go
49:26
to
49:27
one
49:27
of
49:27
those
49:28
websites
49:28
and
49:28
you're
49:29
searching
49:29
for
49:29
something
49:30
or
49:30
you're
49:30
browsing
49:30
for
49:31
something
49:31
or
49:31
you're
49:32
seeing
49:32
recommendations
49:33
or
49:33
you're
49:33
communicating
49:34
with
49:34
some
49:34
kind
49:34
of
49:35
like
49:35
AI
49:36
agent
49:37
looking
49:38
for
49:38
products,
49:38
our
49:39
job
49:39
in
49:39
any
49:39
of
49:39
those
49:39
situations
49:40
is
49:40
to
49:41
make
49:41
sure
49:41
that
49:41
the
49:41
products
49:42
that
49:42
they're
49:42
returning
49:43
back
49:43
to
49:43
you
49:44
are
49:44
the
49:44
ones
49:44
that
49:44
are
49:45
going
49:45
to
49:45
be
49:45
most
49:45
exciting
49:46
for
49:46
you,
49:46
the
49:46
most
49:46
attractive,
49:47
most
49:47
personalized.
49:48
And
49:48
they're
49:48
going
49:49
to
49:49
be
49:49
also
49:49
optimizing
49:50
for
49:50
the
49:50
business
49:50
metric
49:51
that
49:51
the
49:51
retailer
49:52
moves,
49:52
cares
49:52
about.
49:53
So
49:54
we
49:54
want
49:54
to
49:54
connect
49:55
shoppers
49:55
with,
49:55
with
49:56
products
49:56
that
49:56
they
49:56
want
49:56
to
49:56
buy,
49:57
products
49:57
that
49:57
they'll
49:57
love.
49:58
So
49:58
Ellie,
49:58
why
49:59
is
49:59
that
49:59
so
49:59
particularly
50:00
important
50:00
for
50:00
the
50:00
grocery
50:01
industry?
50:02
One
50:02
of
50:02
the
50:02
things
50:02
that
50:02
I
50:03
think
50:03
a
50:03
lot
50:03
of
50:03
people
50:03
don't
50:04
realize
50:04
about
50:05
the
50:05
forms
50:05
of
50:05
AI
50:06
that
50:06
are
50:06
most
50:06
prevalent
50:07
right
50:07
now,
50:08
these
50:08
are
50:08
things
50:08
that
50:08
are
50:08
especially
50:09
built
50:09
on
50:09
top
50:09
of
50:10
Transformers.
50:10
It's
50:11
the,
50:11
the
50:11
T&ChatGPT.
50:14
They
50:14
require
50:15
a
50:15
lot
50:15
of
50:15
data
50:15
to
50:15
work
50:16
well.
50:17
And
50:18
Grocery
50:18
has
50:19
a
50:19
ton,
50:19
a
50:19
ton,
50:20
a
50:20
ton
50:20
of
50:20
this
50:20
thing
50:21
called
50:21
clickstream
50:21
data,
50:22
which
50:22
is
50:23
the
50:23
primary
50:23
data
50:23
constructor
50:24
works
50:24
on
50:24
top
50:25
of.
50:26
So
50:26
you
50:26
can
50:26
think
50:26
of
50:26
it
50:27
this
50:27
way,
50:27
when
50:27
somebody
50:28
is
50:28
going
50:28
and
50:28
buying
50:29
groceries,
50:29
they're
50:30
probably
50:30
not
50:30
buying
50:31
just
50:31
one
50:31
thing.
50:32
They've
50:33
probably
50:33
got
50:33
an
50:33
entire
50:34
basket
50:34
that
50:34
they're
50:35
creating
50:35
and
50:36
that
50:36
basket
50:36
Tells
50:37
you
50:37
so
50:37
many
50:37
things
50:38
about
50:38
what
50:38
sorts
50:39
of
50:39
products
50:39
this
50:40
grocery
50:40
shopper
50:40
in
50:41
particular
50:41
likes.
50:42
So,
50:42
you
50:43
know,
50:43
are
50:43
they
50:43
buying
50:43
organic
50:44
things?
50:45
Are
50:45
they
50:45
buying
50:45
the
50:45
stuff
50:46
that's
50:46
discounted?
50:47
Are
50:47
they
50:47
buying
50:47
the
50:47
stuff
50:47
that's.
50:47
That's
50:48
in
50:48
bulk?
50:48
Because
50:48
they
50:48
have
50:48
a
50:49
big
50:49
family,
50:50
and
50:50
you
50:50
can
50:50
use
50:50
that
50:51
to
50:51
learn
50:51
more
50:51
about
50:51
them
50:52
so
50:52
that
50:52
you
50:53
can
50:53
then
50:53
return
50:53
back
50:54
the
50:54
best
50:55
products,
50:55
the
50:56
ones
50:56
that
50:56
are
50:56
going
50:56
to
50:56
be
50:56
most
50:57
likely
50:58
to
50:58
lead
50:58
to
50:58
a
50:58
purchase
50:59
for
50:59
that
50:59
individual
51:00
user.
51:01
This
51:02
is
51:02
technology
51:03
where,
51:04
at
51:04
least
51:04
in
51:05
my
51:05
opinion,
51:05
it's
51:05
the
51:05
right
51:06
way
51:06
to
51:07
use
51:08
AI,
51:09
because
51:09
it's
51:09
something
51:10
that's
51:10
not
51:10
just
51:11
shiny,
51:11
but
51:11
it's
51:12
something
51:12
that
51:12
you
51:12
can
51:12
literally
51:13
measure
51:14
in
51:14
terms
51:14
of
51:14
how
51:14
it'll
51:15
affect
51:15
your
51:15
business
51:15
metrics.
51:16
So
51:17
it's
51:17
not
51:17
just
51:17
like
51:17
somebody
51:17
demos
51:18
something
51:18
to
51:18
you
51:18
and
51:19
it's
51:19
like,
51:19
oh,
51:19
that
51:19
looks
51:19
cool.
51:20
And
51:20
then
51:20
you
51:20
install
51:20
it
51:20
and
51:21
it
51:21
doesn't
51:21
lead
51:21
anywhere,
51:21
but
51:21
it's
51:22
like,
51:22
you
51:23
can
51:23
see
51:23
it,
51:23
it'll
51:24
look
51:24
cool,
51:24
but
51:24
you
51:24
can
51:24
also
51:25
test
51:25
it.
51:25
You
51:25
can
51:25
send
51:26
half
51:26
the
51:26
traffic
51:27
to
51:27
Constructor,
51:28
you
51:28
can
51:28
send
51:28
half
51:28
the
51:28
traffic
51:29
to
51:29
whatever
51:29
engine
51:30
you
51:30
were
51:30
using
51:30
for
51:31
search,
51:31
for,
51:31
browse
51:31
for
51:32
discovery
51:32
before
51:33
us.
51:33
And
51:33
you
51:34
can
51:34
see
51:34
that
51:34
the
51:34
traffic
51:35
you're
51:35
sending
51:35
to
51:35
Constructor,
51:36
you're
51:36
literally
51:36
earning
51:37
more
51:37
revenue
51:38
per
51:38
visitor
51:39
on
51:39
it
51:39
than
51:39
what
51:39
you
51:39
were
51:39
using
51:40
beforehand.
51:40
Is
51:41
that
51:41
because
51:41
the
51:41
conversion
51:42
increases?
51:42
I'm
51:42
assuming
51:43
we
51:43
can
51:43
solve
51:44
for
51:44
whatever
51:44
business
51:44
metric
51:45
you
51:45
care
51:45
most
51:45
about.
51:46
So
51:46
some
51:46
people
51:46
will
51:46
tell
51:47
us,
51:47
solve
51:47
for
51:47
conversions.
51:48
In
51:48
that
51:48
case,
51:49
we'll
51:49
increase
51:49
conversion
51:50
rates.
51:50
Some
51:50
people
51:50
will
51:50
tell
51:51
us,
51:51
you
51:51
know,
51:51
AOV
51:52
is
51:52
more
51:52
important
51:52
to
51:52
me.
51:53
Revenue
51:53
per
51:53
visitor
51:53
is
51:54
more
51:54
important
51:54
to
51:54
me.
51:54
We
51:55
can
51:55
solve
51:55
for
51:55
these
51:55
things
51:55
as
51:56
well.
51:56
But
51:56
the
51:57
most
51:57
important
51:57
thing
51:57
is
51:58
how
51:58
you
51:58
solve
51:59
it.
51:59
It's
51:59
using
52:00
newer
52:00
AI
52:01
technology.
52:01
So
52:02
for
52:02
us,
52:02
again,
52:02
specifically,
52:03
Transformers,
52:04
that's
52:04
what
52:04
The
52:04
T
52:04
in
52:04
ChatGPT
52:05
stands
52:05
for.
52:06
And
52:06
doing
52:06
it
52:06
on
52:07
top
52:07
of
52:07
this
52:07
clickstream
52:08
data,
52:08
which
52:08
is
52:08
the
52:08
most
52:09
important
52:09
data
52:10
in
52:10
terms
52:10
of
52:10
learning
52:10
about
52:11
your
52:11
users.
52:12
How
52:12
does
52:12
that
52:12
work
52:12
in
52:12
practice
52:13
then?
52:14
Like
52:14
when
52:14
you're
52:15
onboarding
52:15
with
52:15
a
52:16
retailer
52:16
and
52:16
determining
52:17
some
52:17
of
52:17
those
52:17
metrics
52:18
that
52:18
you're
52:18
going
52:18
to
52:18
measure
52:19
when
52:19
to
52:19
send
52:19
them
52:19
to
52:19
Constructor?
52:20
We're
52:20
big
52:21
on
52:21
proving
52:22
value
52:22
upfront
52:23
and
52:23
trying
52:24
to
52:24
ensure
52:24
that
52:25
we're
52:25
good
52:25
partners
52:26
for
52:26
each
52:26
other
52:26
before
52:27
you
52:27
put
52:27
in
52:27
a
52:28
lot
52:28
of
52:28
work.
52:29
And
52:29
so
52:29
we
52:29
actually
52:30
have
52:30
a
52:30
method
52:31
for
52:31
doing
52:31
this.
52:31
We
52:32
call
52:32
it
52:32
our
52:32
proof
52:32
schedule.
52:33
This
52:33
is
52:34
a
52:34
unique
52:34
thing
52:35
among
52:35
AI
52:35
companies
52:36
right
52:36
now,
52:36
but
52:36
I
52:36
think
52:37
it's
52:37
important
52:39
to
52:39
ensure
52:39
that
52:39
the
52:39
company
52:40
that
52:40
you
52:40
choose
52:40
to
52:40
work
52:41
with,
52:41
it's
52:41
not
52:41
just
52:41
something
52:41
that
52:42
looks
52:42
shiny
52:42
right
52:42
now,
52:42
but
52:43
it's
52:43
something
52:43
that
52:43
will
52:43
continue
52:43
to
52:44
drive
52:44
value
52:44
for
52:44
the
52:44
future.
52:45
So
52:46
the
52:46
way
52:46
that
52:46
our
52:46
proof
52:46
schedule
52:47
works
52:47
is
52:47
you
52:47
just
52:48
need
52:48
to
52:48
do
52:48
two
52:48
things.
52:49
You
52:50
send
52:50
us
52:50
a
52:50
product
52:50
catalog,
52:52
you
52:52
can
52:52
use
52:52
the
52:52
same
52:52
one
52:53
that
52:53
you're
52:53
sending
52:53
to
52:53
other
52:53
vendors,
52:54
and
52:55
then
52:55
you
52:55
install
52:55
two
52:56
lines
52:56
of
52:56
JavaScript
52:57
on
52:57
your
52:57
site.
52:58
We
52:58
call
52:58
it
52:58
a
52:58
beacon.
53:00
And
53:00
what
53:00
that
53:00
beacon
53:01
will
53:01
do
53:01
is
53:01
it
53:02
starts
53:02
to
53:02
collect
53:02
that
53:03
clickstream
53:03
data
53:03
that
53:03
we
53:04
were
53:04
talking
53:04
about
53:04
before.
53:05
So
53:05
what
53:05
people
53:06
are
53:06
clicking
53:06
on,
53:07
what
53:07
they're
53:07
adding
53:07
to
53:07
cart,
53:08
what
53:08
they're
53:08
purchasing,
53:08
what
53:09
they're
53:09
scrolling
53:09
past,
53:10
this
53:10
really
53:10
good
53:11
data
53:11
that
53:11
tells
53:11
you
53:12
about
53:12
what
53:12
each
53:13
individual
53:13
shopper
53:14
tends
53:14
to
53:14
like.
53:15
And
53:15
you
53:16
can
53:16
also
53:16
start
53:16
to
53:16
find
53:17
patterns
53:17
about,
53:17
like
53:17
geographic
53:18
patterns,
53:20
patterns
53:20
among,
53:22
let's
53:22
say,
53:22
like
53:22
certain
53:23
browser
53:23
types
53:23
or
53:24
things
53:24
like
53:24
that.
53:25
Whether
53:25
somebody
53:25
shops
53:26
a
53:26
different
53:26
way
53:26
on
53:27
their
53:27
mobile
53:27
device
53:28
versus
53:28
on
53:29
their
53:29
desktop,
53:29
on
53:29
desktop,
53:30
et
53:30
cetera,
53:30
et
53:30
cetera.
53:31
Once
53:32
you
53:32
have
53:32
that
53:33
data
53:33
coming
53:33
in,
53:34
what
53:34
we
53:34
can
53:35
do
53:35
with
53:35
it
53:35
is
53:36
we
53:36
can
53:36
now
53:37
figure
53:37
out
53:38
what
53:38
would
53:38
Constructor
53:39
do
53:39
on
53:40
top
53:40
of
53:40
your
53:40
data.
53:41
So
53:42
given
53:42
all
53:42
of
53:42
this
53:42
clickstream
53:43
data
53:43
that's
53:43
coming
53:44
in,
53:44
you
53:45
can
53:45
start
53:45
to
53:45
show
53:46
how
53:46
would
53:46
Constructor
53:47
respond
53:47
to
53:48
a
53:48
given
53:48
search.
53:48
Let's
53:49
say
53:49
somebody
53:49
searches
53:50
for
53:50
Milk
53:51
differently
53:51
than
53:51
what
53:51
your
53:51
current
53:52
system
53:52
does.
53:53
And
53:53
what
53:53
you'll
53:53
start
53:53
to
53:54
see
53:54
there,
53:54
and
53:54
we'll
53:54
actually
53:55
show
53:55
you
53:55
the
53:55
data
53:55
behind
53:56
it
53:56
is
53:56
here's
53:57
what
53:57
Constructor
53:57
would
53:58
come
53:58
up
53:58
with,
53:58
here's
53:59
the
53:59
data
53:59
behind
53:59
it.
54:00
So
54:00
maybe
54:01
this
54:01
particular
54:01
milk
54:02
is
54:02
really
54:02
popular
54:03
in
54:03
this
54:03
geography.
54:04
Maybe
54:04
that
54:04
one
54:05
is
54:05
trending
54:05
up.
54:05
It's
54:06
a
54:06
brand
54:06
new
54:06
type
54:07
of,
54:07
you
54:08
know,
54:08
organic
54:08
milk
54:09
or
54:09
something
54:09
like
54:09
that.
54:09
Maybe
54:09
it's
54:09
raw
54:10
milk.
54:10
It's
54:11
really
54:11
starting
54:11
to
54:11
become
54:11
popular
54:12
right
54:12
now,
54:12
but
54:12
it
54:12
wasn't
54:13
beforehand.
54:13
Here's
54:14
the
54:14
data
54:14
behind
54:14
it.
54:15
Here's
54:15
the
54:15
number
54:15
of
54:15
purchases
54:16
that
54:16
you're
54:16
seeing
54:17
over
54:17
the
54:17
last
54:17
week
54:18
compared
54:18
to
54:18
the
54:18
time
54:18
beforehand.
54:19
That
54:19
gives
54:19
you
54:20
an
54:20
indication
54:20
that
54:20
this
54:20
is
54:21
something
54:21
that
54:21
you
54:21
should
54:21
show.
54:22
And
54:22
here's
54:23
what
54:23
you're
54:23
currently
54:23
showing
54:24
with
54:24
your
54:24
current
54:24
engine
54:25
and
54:25
how
54:25
this
54:26
is
54:26
different.
54:27
And
54:27
so
54:27
now
54:28
you
54:28
can
54:28
actually
54:28
see
54:28
the
54:29
data
54:29
behind
54:29
all
54:29
of
54:29
this
54:29
stuff
54:30
and
54:30
you
54:30
can
54:30
say,
54:30
oh,
54:30
okay,
54:31
it
54:31
makes
54:31
sense
54:31
that
54:31
Constructor
54:32
would
54:32
show
54:32
these
54:32
things
54:33
differently.
54:33
And
54:34
imagine
54:34
how
54:34
much
54:35
more
54:35
revenue
54:35
I
54:35
could
54:36
make
54:36
if
54:37
all
54:37
of
54:37
the
54:37
viewers
54:38
that
54:38
are
54:39
seeing
54:39
Constructor's
54:40
stuff
54:41
now,
54:41
if
54:41
that
54:42
was
54:42
everybody
54:42
on
54:43
my
54:43
site.
54:44
So
54:44
the
54:44
kind
54:44
of
54:44
math
54:45
that
54:45
you
54:45
can
54:45
work
54:45
out
54:46
here
54:46
is
54:46
like,
54:47
you
54:48
know
54:48
what
54:48
the
54:48
conversion
54:49
rate
54:49
is
54:49
for
54:49
each
54:50
one
54:50
of
54:50
those
54:50
items,
54:51
but
54:51
you
54:51
also
54:52
know
54:52
that
54:52
not
54:52
everybody
54:53
will
54:53
see
54:53
each
54:54
one
54:54
of
54:54
those
54:54
items,
54:54
especially
54:54
when
54:55
you
54:55
have
54:55
some
54:55
of
54:55
the
54:55
better
54:56
ones
54:56
currently
54:56
buried
54:57
on
54:57
page
54:57
two.
54:57
On
54:57
page
54:58
three.
54:58
Right.
54:59
On
55:00
the
55:00
other
55:00
hand.
55:00
Right.
55:01
You
55:01
can
55:01
see
55:01
why
55:02
we're
55:02
showing
55:02
these
55:02
things.
55:03
You
55:03
can
55:03
see
55:03
the
55:03
conversion
55:04
rates
55:04
for
55:04
each
55:04
type
55:05
of
55:05
customer.
55:06
And
55:06
then
55:06
you
55:06
can
55:06
reason
55:06
out
55:07
how
55:07
much
55:07
additional
55:07
revenue
55:08
would
55:08
get
55:08
out
55:08
of
55:08
it.
55:09
And
55:09
then
55:09
if
55:10
you
55:10
see
55:10
a
55:10
value
55:10
there.
55:11
Right.
55:11
We
55:11
can
55:11
do
55:11
this
55:12
together.
55:12
You
55:12
can
55:12
question
55:13
every
55:13
part
55:13
of
55:13
it.
55:14
Then
55:14
we
55:14
think
55:14
that
55:14
it's
55:15
worthwhile
55:15
to
55:15
work
55:15
together.
55:15
And
55:16
if
55:16
not,
55:16
then,
55:16
you
55:16
know,
55:16
it's
55:17
nice
55:17
to
55:17
have
55:17
it
55:17
with
55:17
you.
55:19
I
55:20
love
55:20
the
55:20
approach.
55:21
Well,
55:21
Ellie,
55:22
I
55:22
mean,
55:22
that.
55:23
That
55:23
makes
55:23
complete
55:24
sense
55:24
to
55:25
me,
55:25
and
55:25
it
55:26
allows
55:26
for
55:26
what
55:26
I
55:27
think
55:27
we're
55:27
hearing
55:27
from
55:27
a
55:27
lot
55:28
of
55:28
retailers,
55:28
both
55:29
inside
55:29
and
55:29
outside
55:30
of
55:30
the
55:30
grocery
55:30
industry,
55:31
about
55:32
how
55:32
you
55:32
can
55:32
truly
55:33
start
55:33
to
55:33
personalize
55:35
use
55:35
technology
55:35
to
55:35
personalize
55:36
that
55:36
experience
55:36
for
55:37
your
55:37
shopper.
55:39
Tell
55:39
me
55:39
a
55:40
little
55:40
bit
55:40
about
55:41
some
55:41
of
55:41
the
55:41
other
55:41
things
55:42
that
55:42
you've
55:42
been
55:42
hearing.
55:42
You
55:43
work
55:43
with
55:43
a
55:43
lot
55:43
of
55:43
retailers
55:44
in
55:44
the
55:44
industry.
55:45
Where
55:46
have
55:46
you
55:46
seen
55:46
them
55:46
start
55:47
to
55:47
prioritize
55:48
their
55:48
investments?
55:48
Right
55:49
now,
55:49
I
55:49
think
55:49
there's
55:49
a
55:50
lot.
55:50
Of
55:50
excitement
55:50
around
55:51
new
55:51
forms
55:52
of
55:52
discovery.
55:54
I'll
55:54
cover
55:54
those
55:55
first.
55:55
And
55:55
then
55:55
I
55:55
think
55:55
there's
55:55
also
55:56
a
55:56
lot
55:56
of
55:56
excitement
55:56
around
55:56
retail
55:57
media.
55:57
Yeah.
55:57
In
55:58
terms
55:58
of
55:58
the
55:58
new
55:58
forms
55:59
of
55:59
discovery.
56:00
So
56:01
because
56:01
of
56:01
especially
56:01
the
56:02
AI
56:02
that's
56:02
been
56:02
created
56:03
over
56:03
the
56:03
last.
56:03
Call
56:04
it
56:04
roughly
56:04
like
56:04
six
56:05
years
56:05
or
56:05
so
56:05
since
56:06
this
56:06
concept
56:06
of
56:06
Transformers
56:07
came
56:07
out,
56:08
you
56:09
have
56:09
all
56:09
of
56:09
a
56:09
sudden
56:09
things
56:09
like
56:10
AI
56:10
shopping
56:11
agents.
56:11
This
56:11
is
56:12
something
56:12
that
56:12
you
56:12
can
56:12
speak
56:12
to
56:13
in
56:13
natural
56:13
language.
56:14
You
56:14
can
56:14
tell
56:14
it
56:14
like,
56:15
I'm
56:16
going
56:17
grocery
56:17
shopping
56:18
for
56:18
a
56:18
camping
56:19
trip
56:19
with
56:19
my
56:19
kids
56:20
for
56:20
the
56:20
first
56:20
time.
56:21
They're
56:21
seven
56:21
and
56:21
nine.
56:22
What
56:22
sorts
56:22
of
56:23
things
56:23
should
56:23
I
56:23
buy?
56:24
And
56:24
so
56:24
now
56:24
I
56:25
can
56:25
create
56:25
a
56:25
list
56:25
for
56:26
you.
56:26
It
56:26
can
56:26
understand
56:27
the
56:27
intention
56:27
of
56:27
this,
56:28
and
56:28
it
56:28
can
56:28
create
56:28
a
56:28
list
56:28
for
56:29
you.
56:29
This
56:29
isn't
56:30
the
56:30
sort
56:30
of
56:30
thing
56:30
that
56:30
was
56:30
possible
56:31
beforehand.
56:32
You
56:32
also
56:33
have
56:33
things
56:33
like
56:33
product
56:33
insights
56:34
agents.
56:35
So
56:35
this
56:35
is
56:35
something
56:36
that
56:36
reads
56:36
up.
56:37
It
56:37
crawls
56:37
the
56:37
Internet.
56:38
It
56:38
finds
56:38
all
56:38
this
56:38
information
56:39
about
56:39
each
56:39
one
56:39
of
56:40
your
56:40
products.
56:40
It
56:41
also
56:41
reads
56:41
up
56:41
on
56:41
all
56:42
of
56:42
your
56:42
reviews
56:42
and
56:42
information
56:43
that
56:43
you
56:43
have
56:44
so
56:44
that
56:44
when
56:45
somebody
56:45
is
56:45
trying
56:45
to
56:46
think
56:46
of
56:46
the
56:46
last
56:46
mile
56:47
questions
56:47
that
56:47
they
56:48
have
56:48
before
56:48
they're
56:48
about
56:48
to
56:49
buy
56:49
something,
56:49
you
56:50
know,
56:50
is
56:50
this
56:50
spicy?
56:51
How
56:51
spicy
56:52
is
56:52
it?
56:53
Is
56:53
this
56:54
product
56:54
organic?
56:55
What's
56:56
the
56:56
expiration
56:56
date
56:57
on
56:57
this
56:57
product?
56:58
What
56:58
expiration
56:59
date
56:59
am
56:59
I
56:59
likely
56:59
to
56:59
get?
57:00
It
57:00
can
57:00
actually
57:01
go
57:01
and
57:01
find
57:01
the
57:01
answers
57:02
to
57:02
some
57:02
of
57:02
these
57:02
things
57:03
where
57:03
it's
57:03
available,
57:03
and
57:04
it
57:04
can
57:04
make
57:04
it
57:04
directly
57:05
available
57:05
on
57:05
that
57:05
page
57:06
so
57:06
that
57:06
you
57:06
can
57:07
give
57:07
somebody
57:07
the
57:07
confidence
57:08
once
57:08
they
57:08
get
57:09
to
57:09
that
57:09
PDP
57:10
to
57:10
that
57:10
product.
57:10
Detail
57:10
page
57:11
to
57:11
actually
57:11
make
57:12
the
57:12
purchase.
57:13
With
57:13
both
57:13
of
57:13
these
57:13
things,
57:14
I'm
57:14
seeing
57:14
a
57:14
lot
57:14
of
57:14
excitement.
57:15
I
57:15
think
57:15
those
57:15
are
57:16
two
57:16
things
57:16
that
57:16
you
57:17
can
57:17
already
57:17
see
57:17
on
57:17
Amazon.
57:18
You
57:18
can
57:18
already
57:19
see
57:19
them
57:19
on
57:19
Walmart.
57:19
I
57:20
think
57:20
it's
57:20
a
57:20
matter
57:20
of
57:20
time
57:20
before
57:21
you
57:21
start
57:21
to
57:21
see
57:21
them
57:21
on
57:22
every
57:22
retailer.
57:23
Right.
57:23
The
57:24
second
57:24
thing
57:24
is
57:25
retail
57:25
media.
57:27
The
57:27
interesting
57:28
thing
57:28
here
57:28
is
57:28
that
57:29
it's
57:29
another.
57:29
At
57:30
least
57:30
to
57:30
me,
57:30
it's
57:31
fundamentally
57:31
an
57:31
AI
57:32
problem,
57:32
because
57:32
it's
57:32
not
57:32
just
57:33
a
57:33
question
57:33
of
57:34
who
57:34
can
57:35
bid
57:35
the
57:35
most,
57:35
but
57:35
it's
57:36
a
57:36
question
57:36
of
57:37
how
57:37
much
57:38
are
57:38
they
57:38
bidding
57:39
and
57:39
how
57:39
likely
57:40
is
57:40
the
57:40
thing
57:40
to
57:40
lead
57:40
to
57:41
a
57:41
click
57:41
and
57:41
a
57:41
conversion.
57:42
If
57:42
you're
57:42
showing
57:43
somebody
57:43
something
57:43
that
57:44
they're
57:44
bidding
57:44
a
57:44
whole
57:44
lot
57:45
for,
57:45
but
57:45
you're
57:45
giving
57:45
people
57:46
a
57:46
bad
57:46
experience,
57:47
you're
57:48
showing
57:48
somebody
57:48
something
57:48
that's
57:49
irrelevant,
57:49
that
57:49
no
57:49
one's
57:50
going
57:50
to
57:50
buy,
57:51
then
57:51
that's
57:52
bad
57:52
for
57:52
you,
57:53
eventually
57:53
it's
57:54
bad
57:54
for
57:54
your
57:54
users.
57:56
It's
57:56
not
57:56
something
57:56
that's
57:57
sustainable.
57:57
And
57:58
so
57:58
really
57:58
the
57:58
right
57:58
way
57:59
to
57:59
solve
57:59
this
57:59
is
57:59
also
58:00
using
58:00
that
58:00
clickstream
58:01
to
58:01
not
58:01
just
58:01
show
58:01
the
58:02
highest
58:02
bid,
58:02
but
58:03
to
58:03
show
58:03
the
58:03
highest
58:03
bid
58:04
that's
58:04
also
58:04
balancing
58:05
for
58:05
that
58:05
organic
58:06
revenue.
58:06
If
58:06
you
58:07
can
58:07
do
58:07
that,
58:08
at
58:09
least
58:09
our
58:09
opinion
58:09
is
58:09
you
58:10
wind
58:10
up
58:10
leading
58:10
to
58:11
the
58:11
highest
58:12
overall
58:12
lift
58:13
that
58:13
you
58:13
care
58:13
that
58:14
you
58:14
would
58:14
care
58:14
about.
58:15
You
58:15
also
58:15
wind
58:15
up
58:15
leading
58:16
to
58:16
the
58:16
highest
58:16
sponsored
58:17
lift
58:17
over
58:17
time
58:18
because
58:18
you're
58:18
constantly
58:19
delivering
58:19
roas
58:20
to
58:20
your.
58:21
To
58:21
your
58:22
vendors,
58:22
because
58:22
you're
58:23
actually
58:23
showing
58:23
things
58:23
that
58:24
wind
58:24
up
58:24
leading
58:24
to
58:24
more
58:24
purchases
58:25
for
58:25
them.
58:26
Right?
58:26
Yeah.
58:27
The
58:27
thesis
58:27
you're
58:27
espousing
58:28
makes
58:28
your
58:28
advertising
58:29
more
58:29
productive
58:30
for
58:30
your
58:30
advertisers.
58:31
That
58:31
makes
58:31
a
58:31
ton
58:31
of
58:32
sense.
58:32
All
58:33
right,
58:33
so
58:33
what's
58:33
on
58:34
your
58:34
roadmap
58:34
for
58:34
2026?
58:35
What
58:35
can
58:35
you
58:36
tease
58:36
for
58:36
us?
58:36
We're
58:37
moving
58:37
more
58:37
into
58:38
reasoning.
58:39
So
58:39
the
58:40
system
58:40
that
58:40
constructor
58:41
is
58:41
now
58:41
being
58:42
built
58:42
on,
58:43
it
58:43
uses
58:44
more
58:44
reasoning
58:45
technology,
58:45
which
58:45
is
58:45
something
58:46
a
58:46
little
58:46
bit
58:46
newer
58:46
within
58:47
the
58:47
AI
58:47
space.
58:47
But
58:48
essentially
58:48
what
58:48
it
58:48
means
58:49
is
58:49
you're
58:49
not
58:50
just
58:50
giving
58:50
back
58:50
results,
58:51
but
58:51
you're
58:52
giving
58:52
back
58:52
more
58:53
understanding
58:53
to
58:54
both
58:54
the
58:54
user
58:55
and
58:55
to
58:56
merchandisers
58:56
about
58:57
why
58:57
those
58:57
are
58:57
the
58:58
results
58:58
that
58:58
are
58:58
coming
58:58
back.
58:59
And
58:59
so
59:00
you're
59:00
explaining,
59:00
like,
59:00
what
59:01
you're
59:01
almost
59:01
doing,
59:01
like
59:02
sales
59:02
along
59:03
with
59:03
some
59:03
of
59:03
those
59:03
results.
59:04
So
59:05
I
59:05
think
59:05
this
59:05
would
59:05
be
59:05
interesting
59:06
for
59:06
you
59:07
for
59:07
this
59:07
query
59:07
for
59:08
X,
59:08
Y
59:08
and
59:08
Z
59:08
results.
59:10
I
59:10
think
59:10
there's
59:10
a
59:10
lot
59:11
of
59:11
interesting
59:11
work
59:11
to
59:11
be
59:12
done
59:12
within
59:12
that
59:12
space.
59:13
I
59:13
think
59:14
there's
59:14
a
59:14
lot
59:14
of
59:14
interesting
59:15
work
59:15
to
59:15
be
59:15
done
59:16
in
59:16
the
59:16
space
59:16
of
59:17
marrying
59:18
merchandising
59:19
with
59:19
AI.
59:20
So
59:20
this
59:20
is
59:20
something
59:21
that
59:21
we've
59:21
believed
59:21
very
59:22
Very
59:22
strongly
59:22
for
59:22
a
59:23
long
59:23
time.
59:24
You
59:24
don't
59:24
want
59:24
to
59:24
just
59:25
have
59:25
generic
59:25
AI.
59:26
You
59:26
want
59:26
to
59:26
have
59:26
your
59:27
brand's
59:27
personality
59:27
shine
59:28
through
59:28
it.
59:28
And
59:29
so
59:29
it's
59:29
this
59:29
balance
59:29
of
59:30
merit
59:30
of
59:30
art
59:30
and
59:31
science,
59:32
having
59:33
more
59:33
of
59:33
the
59:33
merchandiser
59:34
being
59:34
able
59:34
to
59:34
work
59:35
with
59:35
the
59:35
AI
59:35
and
59:35
getting
59:36
credit
59:36
for
59:36
some
59:37
of
59:37
the
59:37
things
59:37
that
59:37
they're
59:37
doing
59:38
that
59:38
maybe
59:39
don't
59:39
lift,
59:40
like
59:40
hard
59:40
metrics
59:41
as
59:41
much,
59:41
but
59:41
also
59:41
are
59:42
important
59:42
for
59:42
soft
59:42
metrics,
59:43
like
59:43
brand
59:44
value,
59:44
like
59:45
making
59:45
sure
59:45
that
59:45
maybe
59:46
you
59:47
look
59:47
a
59:47
certain
59:47
way
59:47
to
59:48
customers
59:48
that
59:48
are
59:49
coming
59:49
and
59:49
things
59:49
like
59:49
that.
59:50
And
59:51
then
59:51
finally,
59:51
the
59:52
last
59:52
one,
59:52
this
59:53
is
59:53
one
59:53
of
59:53
the
59:53
ones
59:53
that
59:53
I'm
59:53
most
59:53
excited
59:54
about,
59:54
is
59:56
people
59:56
are
59:56
thinking
59:57
about
59:58
agents
59:59
coming
59:59
from
59:59
outside
1:00:00
the
1:00:00
site.
1:00:01
So
1:00:01
this
1:00:02
is
1:00:02
like
1:00:02
a
1:00:02
perplexity
1:00:03
agent
1:00:03
coming
1:00:03
and
1:00:04
shopping
1:00:04
on
1:00:04
your
1:00:04
site
1:00:05
on
1:00:05
behalf
1:00:05
of
1:00:05
somebody.
1:00:07
This
1:00:07
is
1:00:07
maybe
1:00:07
a
1:00:07
chatgpt
1:00:08
agent
1:00:08
coming
1:00:08
and
1:00:09
shopping
1:00:09
on
1:00:09
behalf
1:00:09
of
1:00:10
somebody.
1:00:10
And
1:00:10
instead
1:00:11
of
1:00:11
them
1:00:11
just
1:00:11
crawling
1:00:12
your
1:00:12
website,
1:00:12
which
1:00:13
is
1:00:13
what
1:00:13
happens
1:00:13
now,
1:00:14
it's
1:00:15
creating
1:00:15
something
1:00:17
on
1:00:17
your
1:00:18
site
1:00:18
by
1:00:18
a
1:00:18
constructor
1:00:19
that
1:00:19
allows
1:00:20
REI
1:00:21
to
1:00:21
be
1:00:21
used
1:00:21
so
1:00:22
that
1:00:22
we
1:00:22
give
1:00:22
you
1:00:22
your
1:00:23
own
1:00:23
agent
1:00:24
to
1:00:24
be
1:00:24
talking
1:00:24
to
1:00:24
that
1:00:25
agent
1:00:25
that's
1:00:25
coming
1:00:25
from
1:00:26
outside
1:00:26
on
1:00:26
your
1:00:27
behalf.
1:00:27
So
1:00:28
someone
1:00:28
sending
1:00:29
an
1:00:29
agent
1:00:29
to
1:00:29
shop
1:00:29
for
1:00:30
milk
1:00:30
for
1:00:30
them
1:00:30
or
1:00:30
something
1:00:30
like
1:00:31
that,
1:00:31
they're
1:00:31
not
1:00:31
just
1:00:31
crawling.
1:00:32
They're
1:00:32
dealing
1:00:32
with
1:00:32
a
1:00:33
sales
1:00:33
agent
1:00:33
on
1:00:33
your
1:00:33
side.
1:00:34
Unbelievable.
1:00:35
It's
1:00:35
really
1:00:35
fascinating.
1:00:36
I
1:00:36
know,
1:00:37
Ellie,
1:00:38
I
1:00:38
am
1:00:38
certain
1:00:39
that
1:00:39
we're
1:00:39
going
1:00:39
to
1:00:40
have
1:00:40
some
1:00:40
people
1:00:40
listening
1:00:41
right
1:00:41
now
1:00:41
that
1:00:41
are
1:00:41
going
1:00:42
to
1:00:42
want
1:00:42
to
1:00:42
connect
1:00:42
with
1:00:42
you
1:00:43
at
1:00:43
grocery
1:00:43
shop
1:00:44
or
1:00:44
afterward.
1:00:45
Can
1:00:46
you
1:00:46
let
1:00:46
us
1:00:46
know
1:00:46
what
1:00:47
the
1:00:47
best
1:00:47
way
1:00:48
is
1:00:48
for
1:00:48
them
1:00:48
to
1:00:48
do
1:00:49
that?
1:00:49
We
1:00:49
would
1:00:50
love
1:00:50
to
1:00:50
see
1:00:50
you
1:00:50
at
1:00:50
grocery
1:00:51
shop
1:00:51
if
1:00:51
you're
1:00:52
here.
1:00:52
We've
1:00:53
got
1:00:53
a
1:00:53
booth
1:00:53
out
1:00:54
at
1:00:54
booth
1:00:54
number
1:00:55
539.
1:00:57
And
1:00:57
then
1:00:57
we
1:00:57
also
1:00:57
have
1:00:58
a
1:00:58
great
1:00:58
team
1:00:58
out
1:00:58
there.
1:00:59
So
1:00:59
please
1:00:59
look
1:00:59
out
1:01:00
for
1:01:00
people
1:01:00
with
1:01:00
constructor
1:01:01
badges.
1:01:02
You
1:01:02
can
1:01:03
also
1:01:03
contact
1:01:03
us
1:01:04
via
1:01:04
LinkedIn
1:01:04
or
1:01:05
by
1:01:05
our
1:01:05
website.
1:01:05
Our
1:01:05
website
1:01:06
is
1:01:06
constructor
1:01:07
IO.
1:01:07
You
1:01:07
can
1:01:08
also
1:01:08
find
1:01:08
me
1:01:08
on
1:01:08
LinkedIn.
1:01:09
I
1:01:09
think
1:01:09
my
1:01:09
name
1:01:09
is
1:01:10
included
1:01:10
in
1:01:10
this
1:01:10
interview.
1:01:10
It's
1:01:11
a
1:01:11
little
1:01:11
bit
1:01:11
long,
1:01:11
but
1:01:11
if
1:01:12
you
1:01:12
start
1:01:12
typing,
1:01:12
Ellie,
1:01:12
Constructor,
1:01:13
you
1:01:13
should
1:01:13
be
1:01:13
able
1:01:13
to
1:01:14
find
1:01:14
it.
1:01:14
Thank
1:01:14
you
1:01:15
so
1:01:15
much,
1:01:15
Ellie.
1:01:15
We'll
1:01:16
see
1:01:16
you
1:01:16
out
1:01:16
in
1:01:16
Vegas.
1:01:16
Let's
1:01:17
move
1:01:17
on
1:01:17
to
1:01:17
our
1:01:18
final
1:01:18
must
1:01:18
see
1:01:18
tech
1:01:19
of
1:01:19
the
1:01:19
day.
1:01:19
I
1:01:20
know
1:01:20
Chris
1:01:20
is
1:01:21
excited
1:01:21
about
1:01:21
this
1:01:22
one.
1:01:22
Joining
1:01:23
us
1:01:23
now
1:01:23
is
1:01:23
Juki's
1:01:24
sales
1:01:24
director,
1:01:24
Nicole
1:01:25
Scandaletto.
1:01:26
And
1:01:26
Nicole
1:01:27
and
1:01:27
the
1:01:27
team
1:01:27
at
1:01:27
Juki
1:01:27
Ann.
1:01:28
And
1:01:29
they're
1:01:29
doing
1:01:29
some
1:01:30
really
1:01:30
interesting
1:01:30
things
1:01:30
with
1:01:31
In
1:01:31
Store
1:01:31
Audio.
1:01:31
And,
1:01:32
you
1:01:32
know,
1:01:32
I'm
1:01:32
a
1:01:32
big
1:01:32
fan
1:01:33
of
1:01:33
it.
1:01:33
So,
1:01:33
Nicole,
1:01:34
welcome
1:01:34
to
1:01:34
omnitalk.
1:01:35
Hi,
1:01:36
thank
1:01:36
you
1:01:36
so
1:01:36
much.
1:01:37
For
1:01:37
having
1:01:37
me.
1:01:38
Okay,
1:01:38
Nicole,
1:01:39
break
1:01:39
it
1:01:39
down.
1:01:40
For
1:01:40
those
1:01:40
of
1:01:41
our
1:01:41
audience
1:01:42
who
1:01:42
have
1:01:42
not
1:01:42
heard
1:01:42
of
1:01:43
juki
1:01:43
before,
1:01:43
what
1:01:44
is
1:01:44
juki?
1:01:46
Juki
1:01:46
is
1:01:46
an
1:01:46
AI
1:01:47
powered
1:01:47
in
1:01:48
store
1:01:48
audio
1:01:48
platform.
1:01:49
It's
1:01:49
really
1:01:50
designed
1:01:50
to
1:01:50
transform
1:01:51
that
1:01:52
retail
1:01:52
sound
1:01:53
system
1:01:53
into
1:01:53
dynamic
1:01:55
performance
1:01:55
channels.
1:01:56
We're
1:01:57
really
1:01:57
trying
1:01:57
to
1:01:58
make
1:01:58
it
1:01:58
possible
1:01:58
to
1:01:59
instantly
1:01:59
create,
1:02:00
deliver
1:02:01
and
1:02:01
measure
1:02:02
the
1:02:02
targeted
1:02:02
audio
1:02:03
ads
1:02:03
within
1:02:04
the
1:02:04
physical
1:02:04
store.
1:02:05
So
1:02:05
we're
1:02:06
able
1:02:06
to
1:02:06
do
1:02:06
this
1:02:06
at
1:02:06
scale
1:02:07
and
1:02:07
in
1:02:07
real
1:02:08
time.
1:02:09
We're,
1:02:09
you
1:02:09
know,
1:02:09
our
1:02:10
goal
1:02:10
is
1:02:10
to
1:02:10
drive
1:02:11
impact,
1:02:11
create
1:02:12
more
1:02:12
options
1:02:13
and
1:02:13
more
1:02:14
revenue.
1:02:15
So
1:02:15
you
1:02:15
know,
1:02:16
we're
1:02:16
able
1:02:16
to
1:02:16
do
1:02:16
this
1:02:17
without,
1:02:18
you
1:02:18
know,
1:02:19
in
1:02:19
studio
1:02:19
components
1:02:20
and
1:02:21
your
1:02:21
production
1:02:22
costs.
1:02:24
So
1:02:24
Nicole,
1:02:25
explain
1:02:25
why
1:02:25
the
1:02:25
AI
1:02:26
component
1:02:26
of
1:02:26
this
1:02:26
is
1:02:27
so
1:02:27
important.
1:02:27
Because,
1:02:27
you
1:02:28
know,
1:02:28
there's
1:02:28
always
1:02:28
the
1:02:28
running
1:02:29
joke
1:02:29
out
1:02:29
there
1:02:29
that
1:02:29
everyone
1:02:30
tags
1:02:30
AI
1:02:30
on
1:02:30
the
1:02:31
every,
1:02:31
on
1:02:31
the
1:02:31
end
1:02:31
of
1:02:31
everything
1:02:32
if
1:02:32
you're
1:02:32
a
1:02:32
tech
1:02:32
company.
1:02:33
But
1:02:33
this
1:02:34
is
1:02:34
real
1:02:34
AI
1:02:35
at
1:02:35
play
1:02:35
here,
1:02:36
lowering
1:02:36
the
1:02:36
production
1:02:37
costs
1:02:37
like
1:02:37
you
1:02:37
said,
1:02:38
to
1:02:38
make
1:02:38
basically
1:02:39
audio
1:02:39
ads
1:02:40
playable
1:02:40
in
1:02:41
store
1:02:41
as
1:02:41
frequently
1:02:42
and
1:02:42
as
1:02:42
often
1:02:42
as
1:02:43
you
1:02:43
want,
1:02:43
right?
1:02:44
Correct.
1:02:44
So
1:02:45
we
1:02:45
are
1:02:45
using
1:02:46
a
1:02:46
number
1:02:46
of
1:02:46
different
1:02:47
platforms,
1:02:48
so
1:02:49
using
1:02:50
large
1:02:50
language
1:02:51
models,
1:02:53
music.
1:02:53
So
1:02:54
we're
1:02:54
able
1:02:54
to,
1:02:54
you
1:02:55
know,
1:02:55
just
1:02:55
by
1:02:55
typing
1:02:56
in
1:02:56
a
1:02:56
few
1:02:56
keywords,
1:02:57
we're
1:02:58
able
1:02:58
to
1:02:58
create
1:02:59
a
1:02:59
script
1:03:00
and
1:03:01
we
1:03:01
can
1:03:01
do
1:03:01
this
1:03:02
in
1:03:02
different
1:03:03
voiceovers
1:03:04
and
1:03:05
in
1:03:05
different
1:03:05
languages.
1:03:06
And
1:03:06
we
1:03:06
can
1:03:06
also
1:03:07
add
1:03:07
tunes
1:03:08
to
1:03:08
it
1:03:08
as
1:03:09
well.
1:03:09
Like
1:03:09
you
1:03:09
can
1:03:09
have
1:03:10
a
1:03:10
little
1:03:10
jingle
1:03:10
as
1:03:11
an
1:03:11
intro.
1:03:12
We
1:03:12
could
1:03:12
have
1:03:12
nice
1:03:13
sounds,
1:03:13
you
1:03:13
know,
1:03:14
coffee
1:03:15
percolating
1:03:15
if
1:03:16
we're
1:03:16
trying
1:03:16
to
1:03:16
sell
1:03:17
the
1:03:17
K
1:03:17
cups.
1:03:18
Right.
1:03:19
It
1:03:20
makes
1:03:20
it
1:03:20
very
1:03:20
easy
1:03:21
and
1:03:21
it
1:03:22
happens
1:03:22
in
1:03:22
a
1:03:22
matter
1:03:22
of
1:03:23
minutes.
1:03:23
And
1:03:23
you're
1:03:23
able
1:03:23
to
1:03:24
download
1:03:24
it
1:03:25
and,
1:03:26
and,
1:03:27
and
1:03:27
then
1:03:27
start
1:03:27
airing
1:03:28
it.
1:03:28
Yeah,
1:03:29
all
1:03:29
controllable
1:03:30
by
1:03:30
the
1:03:30
brand
1:03:30
too.
1:03:30
And,
1:03:31
and
1:03:31
you
1:03:31
know,
1:03:31
and
1:03:31
I've,
1:03:32
I've
1:03:32
even
1:03:32
started
1:03:32
using
1:03:32
it
1:03:33
for
1:03:33
the
1:03:33
retail
1:03:33
daily
1:03:33
minute.
1:03:34
I've
1:03:34
been,
1:03:34
I
1:03:34
know,
1:03:35
I
1:03:36
heard
1:03:36
it
1:03:36
the
1:03:36
other
1:03:36
day.
1:03:37
It
1:03:37
was
1:03:37
great.
1:03:38
Yeah,
1:03:38
it's
1:03:38
awesome.
1:03:38
And
1:03:38
I'm
1:03:39
going
1:03:39
to
1:03:39
keep
1:03:39
playing
1:03:39
around
1:03:39
with
1:03:40
it
1:03:40
too
1:03:40
because
1:03:40
it's
1:03:40
so
1:03:41
easy
1:03:41
to
1:03:41
use
1:03:41
and
1:03:41
I
1:03:41
want
1:03:41
people
1:03:42
to
1:03:42
understand
1:03:42
that.
1:03:42
And
1:03:43
I
1:03:43
mean,
1:03:43
and
1:03:43
you
1:03:43
have
1:03:43
a
1:03:43
lot,
1:03:44
you
1:03:44
have
1:03:44
a
1:03:44
background
1:03:44
in
1:03:44
this.
1:03:44
You
1:03:45
know
1:03:45
how
1:03:45
much
1:03:45
the
1:03:45
companies
1:03:45
spend
1:03:46
trying
1:03:46
to
1:03:46
make
1:03:46
these
1:03:47
sound
1:03:47
bites.
1:03:47
Right.
1:03:47
It's
1:03:48
pretty
1:03:48
insane.
1:03:48
Yeah.
1:03:48
And
1:03:49
just
1:03:49
the,
1:03:49
I
1:03:49
think
1:03:50
the
1:03:50
real
1:03:50
time
1:03:50
nature
1:03:51
of
1:03:51
this
1:03:51
is
1:03:51
what's
1:03:52
really
1:03:52
remarkable
1:03:53
to
1:03:53
me.
1:03:53
I
1:03:53
mean
1:03:54
we
1:03:54
are
1:03:54
looking
1:03:54
at
1:03:55
our
1:03:55
industry
1:03:55
changing
1:03:56
so
1:03:56
much
1:03:56
in
1:03:56
grocery
1:03:57
especially
1:03:57
when
1:03:57
it
1:03:58
comes
1:03:58
to
1:03:58
like
1:03:58
pricing
1:03:59
and
1:03:59
promotions
1:03:59
being,
1:04:00
you
1:04:00
know,
1:04:00
dropped
1:04:01
at
1:04:01
the
1:04:01
minute
1:04:01
or
1:04:01
at
1:04:02
the
1:04:02
time
1:04:02
domain
1:04:03
during
1:04:03
a
1:04:03
peak
1:04:04
hour
1:04:04
or
1:04:04
something
1:04:04
like
1:04:05
that.
1:04:05
And
1:04:05
now
1:04:05
to
1:04:05
be
1:04:05
able
1:04:06
to
1:04:06
complement
1:04:06
that
1:04:07
with
1:04:07
audio
1:04:07
promotion
1:04:08
in
1:04:08
store,
1:04:08
that's
1:04:09
like
1:04:09
like
1:04:09
catered
1:04:10
so
1:04:10
specifically
1:04:10
to
1:04:11
one
1:04:11
product.
1:04:11
It's.
1:04:12
It's
1:04:12
pretty
1:04:12
remarkable.
1:04:14
Yeah.
1:04:14
So
1:04:14
let's
1:04:14
talk
1:04:15
about
1:04:15
that
1:04:15
then,
1:04:15
Nicole.
1:04:16
So
1:04:16
that.
1:04:16
Because
1:04:16
that's
1:04:16
a
1:04:16
great
1:04:17
point.
1:04:17
And
1:04:17
so.
1:04:17
So
1:04:18
how
1:04:18
do
1:04:18
you.
1:04:18
How
1:04:18
does
1:04:18
juki
1:04:19
actually
1:04:19
work
1:04:19
with
1:04:19
retailers
1:04:20
for
1:04:20
those
1:04:20
watching
1:04:21
now
1:04:21
or
1:04:21
listening
1:04:21
later?
1:04:23
So
1:04:23
we
1:04:23
really
1:04:23
see
1:04:24
ourselves
1:04:24
as
1:04:24
a
1:04:24
true
1:04:24
partner
1:04:25
for
1:04:25
retailers.
1:04:26
Right.
1:04:26
Our
1:04:26
goal
1:04:26
is
1:04:27
to
1:04:27
unlock
1:04:27
that
1:04:27
full
1:04:28
potential
1:04:29
of
1:04:29
every
1:04:29
speaker
1:04:30
in
1:04:30
their
1:04:30
stores.
1:04:32
And
1:04:32
it's,
1:04:33
you
1:04:33
know,
1:04:33
it's
1:04:33
relatively
1:04:34
easy.
1:04:34
So
1:04:34
all
1:04:35
our
1:04:35
system
1:04:36
can
1:04:37
seamlessly
1:04:37
integrate
1:04:38
into
1:04:38
their
1:04:39
system.
1:04:40
You
1:04:41
know,
1:04:41
they
1:04:41
are
1:04:41
able
1:04:42
to
1:04:42
monetize
1:04:43
this,
1:04:43
right.
1:04:43
So
1:04:44
they
1:04:44
can
1:04:44
offer
1:04:44
this
1:04:45
as
1:04:45
part
1:04:45
of
1:04:46
whether
1:04:46
it's
1:04:46
a
1:04:46
trade
1:04:47
program,
1:04:47
a
1:04:47
shopper
1:04:48
program
1:04:49
to
1:04:49
their
1:04:50
CPG
1:04:50
brands.
1:04:52
And,
1:04:53
you
1:04:53
know,
1:04:53
now
1:04:53
they're
1:04:54
actually
1:04:54
going
1:04:54
to
1:04:55
have
1:04:55
real
1:04:56
audio
1:04:56
directing
1:04:57
that
1:04:57
consumer
1:04:58
to
1:04:58
go
1:04:59
to
1:04:59
the
1:04:59
dairy
1:05:00
aisle,
1:05:01
right.
1:05:01
And
1:05:01
go
1:05:02
pick
1:05:02
up,
1:05:03
you
1:05:04
know,
1:05:04
blank
1:05:05
brand
1:05:06
that's
1:05:06
going
1:05:06
to
1:05:06
be
1:05:06
on
1:05:07
sale.
1:05:07
Right.
1:05:07
So
1:05:07
it's
1:05:08
in
1:05:08
addition
1:05:08
to
1:05:08
any
1:05:09
sort
1:05:09
of
1:05:09
shelf
1:05:09
talkers
1:05:10
that
1:05:10
they
1:05:10
may
1:05:11
have
1:05:11
or
1:05:11
any
1:05:11
other
1:05:12
promotional
1:05:12
components
1:05:13
they
1:05:13
have
1:05:13
going
1:05:13
on
1:05:14
at
1:05:14
that
1:05:14
time.
1:05:14
But
1:05:15
now
1:05:15
you're
1:05:15
hearing
1:05:16
it
1:05:17
on
1:05:17
audio
1:05:17
and
1:05:17
it's
1:05:18
something
1:05:18
that's
1:05:18
really
1:05:18
been.
1:05:19
Hasn't
1:05:20
been
1:05:20
fully
1:05:20
utilized.
1:05:21
And
1:05:22
one
1:05:22
of
1:05:22
the
1:05:22
things
1:05:22
that
1:05:22
juki
1:05:23
has
1:05:23
done,
1:05:23
especially
1:05:24
in.
1:05:24
In
1:05:24
terms
1:05:24
of
1:05:25
making
1:05:26
sure
1:05:26
sound
1:05:27
on
1:05:27
the
1:05:28
commercials
1:05:28
are
1:05:28
being
1:05:29
heard,
1:05:30
is
1:05:30
that
1:05:30
they've
1:05:30
created
1:05:32
little
1:05:32
sensors.
1:05:33
So
1:05:33
if
1:05:33
an
1:05:34
individual
1:05:34
like
1:05:35
store,
1:05:35
we.
1:05:35
They
1:05:36
start
1:05:36
to
1:05:36
hear
1:05:36
that
1:05:36
the
1:05:37
volume
1:05:37
is
1:05:37
going
1:05:37
down,
1:05:38
a
1:05:38
sensor
1:05:38
will
1:05:39
go
1:05:39
off
1:05:39
and
1:05:39
they
1:05:39
will
1:05:40
alert
1:05:40
that
1:05:41
store
1:05:41
manager
1:05:42
to,
1:05:42
hey,
1:05:42
your
1:05:43
audio
1:05:43
is
1:05:43
down.
1:05:44
You
1:05:44
need
1:05:45
to
1:05:45
adjust
1:05:45
it.
1:05:46
So
1:05:46
we're
1:05:46
constantly
1:05:47
doing
1:05:47
improvements,
1:05:48
making
1:05:49
sure
1:05:50
that,
1:05:50
you
1:05:50
know,
1:05:50
any
1:05:51
sort
1:05:51
of
1:05:51
partnership
1:05:52
is
1:05:52
going
1:05:52
to
1:05:52
be
1:05:53
a
1:05:53
successful
1:05:53
for.
1:05:54
Successful
1:05:54
for
1:05:54
everyone.
1:05:56
Well,
1:05:56
Nicole,
1:05:56
what
1:05:57
are
1:05:57
some
1:05:57
of
1:05:57
those
1:05:57
early
1:05:58
signs
1:05:58
of
1:05:58
success
1:05:58
that
1:05:59
you're
1:05:59
seeing
1:05:59
with
1:05:59
the
1:06:00
retail
1:06:00
partners
1:06:00
that
1:06:01
you
1:06:01
have
1:06:01
so
1:06:01
far?
1:06:02
So
1:06:03
one
1:06:03
of
1:06:04
our
1:06:04
latest,
1:06:06
one
1:06:06
of
1:06:06
our
1:06:06
first
1:06:06
partnerships
1:06:07
is
1:06:07
with
1:06:09
a
1:06:09
leading
1:06:09
European
1:06:10
pharmacy
1:06:10
retailer.
1:06:12
And
1:06:12
we
1:06:13
started
1:06:13
seeing
1:06:13
very
1:06:14
positive
1:06:14
sales
1:06:15
lifts.
1:06:16
We
1:06:16
ran
1:06:16
about
1:06:16
55
1:06:17
campaigns
1:06:18
looking
1:06:18
at
1:06:18
700
1:06:19
different
1:06:19
SKUs.
1:06:21
And,
1:06:21
you
1:06:21
know,
1:06:22
on
1:06:22
average
1:06:22
we
1:06:22
saw
1:06:23
27%
1:06:23
sales
1:06:24
uplift.
1:06:25
This
1:06:25
is
1:06:26
really
1:06:26
in
1:06:26
the
1:06:26
test
1:06:27
branches.
1:06:29
Other
1:06:30
campaigns
1:06:30
that
1:06:31
had,
1:06:31
you
1:06:31
know,
1:06:32
for
1:06:32
fresh
1:06:32
ones,
1:06:33
I
1:06:33
think
1:06:33
Vichy
1:06:34
and
1:06:34
even
1:06:34
Starbucks
1:06:35
K
1:06:36
cups,
1:06:36
we
1:06:36
did
1:06:37
see
1:06:37
an
1:06:37
uplift
1:06:38
of
1:06:38
35%.
1:06:40
So
1:06:40
these
1:06:40
weren't
1:06:41
just
1:06:41
promotions,
1:06:42
you
1:06:42
know,
1:06:42
they
1:06:43
were
1:06:43
really
1:06:43
run
1:06:44
on
1:06:44
a
1:06:44
precision
1:06:45
targeted
1:06:46
audio
1:06:46
campaign
1:06:47
that
1:06:47
really
1:06:47
moved
1:06:48
the
1:06:48
needle.
1:06:49
That's
1:06:49
what
1:06:49
I
1:06:49
love
1:06:50
about
1:06:50
this.
1:06:50
And
1:06:50
because
1:06:50
you
1:06:50
get
1:06:50
the
1:06:51
whole
1:06:51
aspect
1:06:51
of
1:06:51
day
1:06:51
part
1:06:52
merchandising
1:06:53
or
1:06:53
advertising
1:06:53
to
1:06:54
different
1:06:54
times
1:06:54
of
1:06:54
the
1:06:54
store.
1:06:55
Like,
1:06:55
I
1:06:55
was
1:06:55
just
1:06:55
thinking
1:06:55
about
1:06:55
an
1:06:56
article
1:06:56
that
1:06:56
I'm
1:06:56
going
1:06:56
to
1:06:56
write
1:06:57
you
1:06:57
know,
1:06:57
here
1:06:57
coming
1:06:57
up
1:06:58
about,
1:06:58
you
1:06:58
know,
1:06:58
the
1:06:59
shift
1:06:59
that
1:06:59
we're
1:06:59
seeing
1:06:59
across
1:07:00
grocery
1:07:00
to
1:07:00
more
1:07:00
lunchtime
1:07:01
traffic
1:07:02
and
1:07:03
you
1:07:03
know,
1:07:03
being
1:07:03
able
1:07:03
to
1:07:04
adjust
1:07:04
your
1:07:04
audio
1:07:05
to
1:07:05
hit
1:07:05
that
1:07:05
audience
1:07:06
while
1:07:06
they're
1:07:06
in
1:07:06
there
1:07:06
in
1:07:07
that
1:07:07
hour,
1:07:07
you
1:07:08
know,
1:07:08
differently
1:07:08
every
1:07:09
single
1:07:09
day
1:07:09
will
1:07:09
make
1:07:10
a
1:07:10
difference
1:07:10
compared
1:07:11
to
1:07:11
the
1:07:11
traditional
1:07:12
constraints
1:07:13
of,
1:07:13
you
1:07:13
know,
1:07:13
in
1:07:14
store
1:07:14
advertising.
1:07:15
So,
1:07:15
so
1:07:15
that
1:07:16
brings
1:07:16
my
1:07:16
next
1:07:16
question,
1:07:16
Nicole,
1:07:17
like
1:07:17
what,
1:07:18
what,
1:07:18
what
1:07:19
are
1:07:19
you
1:07:19
learning
1:07:19
from
1:07:19
these
1:07:20
implementations,
1:07:20
you
1:07:21
know,
1:07:21
as
1:07:21
you
1:07:21
try
1:07:21
to
1:07:22
get
1:07:22
retailers
1:07:22
more
1:07:23
off
1:07:23
the
1:07:23
ground,
1:07:24
you
1:07:24
know,
1:07:24
and
1:07:25
into
1:07:25
in
1:07:26
store
1:07:26
audio.
1:07:27
So
1:07:27
audio
1:07:28
works,
1:07:28
right?
1:07:29
It's
1:07:29
consistent,
1:07:30
you
1:07:30
know,
1:07:31
and
1:07:31
it's,
1:07:31
we
1:07:31
are
1:07:31
seeing
1:07:32
it
1:07:32
consistent
1:07:32
across
1:07:33
various
1:07:33
price
1:07:34
tiers.
1:07:34
So
1:07:35
whether
1:07:35
it's
1:07:35
a
1:07:35
premium
1:07:36
brand
1:07:36
like
1:07:37
Vichy
1:07:37
or
1:07:38
it's
1:07:38
an
1:07:38
everyday
1:07:39
essential
1:07:39
item
1:07:39
like
1:07:40
a
1:07:40
baby
1:07:40
wipe,
1:07:41
the
1:07:41
timing
1:07:42
matters,
1:07:43
right?
1:07:43
So
1:07:43
we
1:07:43
saw
1:07:44
campaigns
1:07:45
that
1:07:46
aligned
1:07:46
with
1:07:47
peak
1:07:47
store
1:07:47
hours
1:07:48
performed
1:07:48
best.
1:07:50
And
1:07:50
third,
1:07:50
you
1:07:51
know,
1:07:51
we
1:07:51
now
1:07:51
have
1:07:52
clear
1:07:52
proof
1:07:52
of
1:07:52
concept.
1:07:55
And
1:07:55
it's
1:07:55
not,
1:07:55
this
1:07:56
isn't
1:07:56
experimental.
1:07:57
It's
1:07:58
measurable
1:07:58
and
1:07:59
it's
1:07:59
ready
1:07:59
to
1:08:00
scale.
1:08:01
Nicole,
1:08:02
it's
1:08:02
also
1:08:02
the
1:08:03
other
1:08:03
thing
1:08:03
that
1:08:03
I
1:08:03
think
1:08:04
about
1:08:04
it
1:08:04
too.
1:08:04
Is
1:08:04
it
1:08:04
also
1:08:04
easier
1:08:05
to
1:08:05
manage
1:08:05
from
1:08:06
a
1:08:06
content
1:08:06
perspective
1:08:07
than
1:08:07
say
1:08:07
like
1:08:07
all
1:08:07
the
1:08:08
digital
1:08:08
screens
1:08:08
we
1:08:08
see
1:08:09
proliferating
1:08:09
in
1:08:09
the
1:08:10
store
1:08:10
as
1:08:10
well.
1:08:10
How
1:08:10
do
1:08:10
you
1:08:10
think
1:08:11
about
1:08:11
that?
1:08:13
Yeah,
1:08:13
because
1:08:13
we
1:08:14
could
1:08:14
run
1:08:14
various
1:08:15
campaigns
1:08:16
at
1:08:16
the
1:08:16
same
1:08:17
time.
1:08:17
So
1:08:17
if
1:08:18
you
1:08:18
do
1:08:18
want
1:08:18
to
1:08:18
day
1:08:18
part
1:08:19
it,
1:08:20
right.
1:08:20
We're
1:08:20
able
1:08:20
to
1:08:21
do
1:08:21
that.
1:08:22
If
1:08:22
you
1:08:22
are
1:08:23
a
1:08:23
large
1:08:24
CPG
1:08:24
brand
1:08:26
and
1:08:26
working
1:08:26
with,
1:08:27
you
1:08:27
know,
1:08:28
one
1:08:29
brand
1:08:29
manager
1:08:30
that
1:08:30
may
1:08:30
oversee
1:08:31
five
1:08:32
different
1:08:32
products,
1:08:33
product
1:08:34
lines,
1:08:35
we
1:08:35
can
1:08:35
day
1:08:35
part
1:08:36
it,
1:08:36
right?
1:08:36
We
1:08:36
can
1:08:36
change
1:08:37
out
1:08:37
the
1:08:37
audio
1:08:38
on
1:08:38
a
1:08:38
regular
1:08:39
basis
1:08:39
for
1:08:39
them.
1:08:41
So
1:08:41
you
1:08:41
know,
1:08:42
whether
1:08:42
they
1:08:42
want
1:08:42
to
1:08:42
promote
1:08:43
their
1:08:43
coffee
1:08:43
and
1:08:43
juice
1:08:44
in
1:08:44
the
1:08:44
morning,
1:08:46
their
1:08:47
cold
1:08:47
cut
1:08:47
sandwiches
1:08:48
in
1:08:49
the
1:08:49
afternoon
1:08:50
or
1:08:51
you
1:08:51
know,
1:08:51
whether
1:08:51
it
1:08:52
is,
1:08:53
you
1:08:53
know,
1:08:54
fresh
1:08:55
pasta
1:08:56
for
1:08:56
dinner.
1:08:57
So
1:08:57
we're
1:08:57
able
1:08:57
to
1:08:58
do
1:08:58
that
1:08:59
seamlessly.
1:09:00
It's
1:09:00
easy
1:09:01
for
1:09:01
to
1:09:02
work
1:09:02
with
1:09:02
the
1:09:02
brand
1:09:02
managers,
1:09:03
right.
1:09:03
They
1:09:03
all
1:09:04
they
1:09:04
have
1:09:04
to
1:09:04
do
1:09:04
and
1:09:05
they
1:09:05
have
1:09:05
the
1:09:05
control
1:09:06
to
1:09:07
go
1:09:07
in
1:09:07
and
1:09:07
create
1:09:07
their
1:09:08
own
1:09:08
ad
1:09:08
units
1:09:09
as
1:09:09
well.
1:09:09
Right.
1:09:10
And
1:09:10
experiment
1:09:10
with,
1:09:11
with
1:09:11
the
1:09:11
platform.
1:09:12
But
1:09:12
all
1:09:13
they
1:09:13
have
1:09:13
to
1:09:13
do
1:09:13
is
1:09:14
type
1:09:15
in
1:09:15
a
1:09:15
couple
1:09:15
keywords,
1:09:16
you
1:09:17
know,
1:09:17
give
1:09:17
it,
1:09:18
indicate
1:09:18
to
1:09:19
it
1:09:19
whether
1:09:19
they
1:09:19
want
1:09:20
a
1:09:20
female
1:09:20
voice,
1:09:21
whether
1:09:21
this
1:09:21
is
1:09:22
going
1:09:22
to
1:09:22
be
1:09:22
in
1:09:23
French,
1:09:24
Italian,
1:09:25
Spanish
1:09:26
or
1:09:26
English.
1:09:28
And
1:09:28
the
1:09:28
voiceover
1:09:29
or
1:09:30
the
1:09:30
content
1:09:31
the
1:09:31
script
1:09:32
will
1:09:32
generate
1:09:32
on
1:09:33
its
1:09:33
own
1:09:34
again,
1:09:34
you
1:09:34
could
1:09:35
tweak
1:09:35
it.
1:09:35
So
1:09:35
if
1:09:36
you
1:09:36
want
1:09:36
again,
1:09:36
change
1:09:36
the
1:09:37
language,
1:09:37
you
1:09:37
don't
1:09:38
like
1:09:38
the
1:09:38
way
1:09:38
that
1:09:38
that
1:09:38
voiceover
1:09:40
comes
1:09:40
out,
1:09:41
you
1:09:41
can
1:09:41
certainly
1:09:42
change
1:09:42
it.
1:09:42
You
1:09:42
can
1:09:43
add
1:09:43
jingles,
1:09:43
you
1:09:44
can
1:09:44
add
1:09:44
an
1:09:44
intro
1:09:44
music,
1:09:45
you
1:09:45
can
1:09:45
add,
1:09:45
you
1:09:46
know,
1:09:46
other
1:09:47
sound
1:09:48
bits
1:09:48
to
1:09:48
it.
1:09:50
And
1:09:50
you
1:09:50
can
1:09:50
also
1:09:51
customize
1:09:51
the
1:09:52
length
1:09:52
of
1:09:52
the
1:09:52
spot.
1:09:53
Right,
1:09:54
right.
1:09:54
And
1:09:54
you
1:09:54
know
1:09:54
what?
1:09:55
The
1:09:55
other
1:09:55
thing,
1:09:55
I
1:09:55
thought
1:09:55
about
1:09:56
this
1:09:56
too,
1:09:56
which
1:09:56
I
1:09:56
never
1:09:56
thought
1:09:56
about
1:09:57
until
1:09:57
Nicole
1:09:57
just
1:09:57
said
1:09:57
it
1:09:57
to.
1:09:58
The
1:09:58
reach
1:09:58
is
1:09:58
larger
1:09:59
too,
1:09:59
because
1:09:59
you're.
1:10:00
You're
1:10:00
playing
1:10:00
it
1:10:00
across
1:10:01
the
1:10:01
whole
1:10:01
store
1:10:01
versus,
1:10:02
like,
1:10:02
individual
1:10:02
screens
1:10:03
are
1:10:03
only
1:10:03
visible
1:10:04
by
1:10:04
whoever's
1:10:05
standing
1:10:05
in
1:10:05
front
1:10:05
of
1:10:05
them
1:10:05
in
1:10:06
the
1:10:06
store.
1:10:06
So.
1:10:06
So.
1:10:07
So
1:10:07
that's
1:10:07
a
1:10:07
whole
1:10:07
angle
1:10:08
here
1:10:08
too,
1:10:08
that
1:10:08
I'd
1:10:08
never
1:10:09
thought
1:10:09
about
1:10:09
anyway.
1:10:10
Yeah.
1:10:11
Nicole,
1:10:12
I'm
1:10:12
curious,
1:10:12
kind
1:10:13
of
1:10:13
as
1:10:13
we
1:10:13
wrap
1:10:13
up
1:10:13
here,
1:10:14
if.
1:10:14
If
1:10:14
there's
1:10:15
one
1:10:15
reason
1:10:16
that
1:10:16
you
1:10:17
feel
1:10:17
like
1:10:17
the
1:10:17
audience
1:10:18
listening
1:10:18
here
1:10:18
should
1:10:19
connect
1:10:19
with
1:10:19
you
1:10:20
at
1:10:20
Grocery
1:10:20
Shop.
1:10:21
What.
1:10:21
What
1:10:22
is
1:10:22
that
1:10:22
thing?
1:10:22
What's
1:10:23
that
1:10:23
thing
1:10:23
that
1:10:23
you
1:10:23
really
1:10:23
hope
1:10:24
to
1:10:24
impart
1:10:24
on
1:10:24
the
1:10:24
audience?
1:10:26
Retail
1:10:26
audio
1:10:27
is
1:10:28
the
1:10:28
last
1:10:28
untapped
1:10:29
channel,
1:10:29
and
1:10:29
Juki's
1:10:30
the
1:10:30
one
1:10:30
that's
1:10:30
going
1:10:31
to
1:10:31
unlock
1:10:31
it
1:10:31
for
1:10:31
them.
1:10:33
If
1:10:33
you're
1:10:33
looking
1:10:33
to
1:10:33
drive
1:10:34
real
1:10:34
time
1:10:34
in
1:10:35
store
1:10:35
impact
1:10:35
with
1:10:36
zero
1:10:36
friction.
1:10:37
You
1:10:37
know,
1:10:37
we'd
1:10:37
love
1:10:37
to
1:10:37
show
1:10:37
you
1:10:38
how
1:10:38
we
1:10:38
can
1:10:38
transform
1:10:39
your
1:10:39
speakers
1:10:40
into
1:10:40
that
1:10:41
high
1:10:41
performing,
1:10:42
you
1:10:42
know,
1:10:42
ad
1:10:43
network.
1:10:44
You
1:10:44
know,
1:10:44
come
1:10:44
find
1:10:44
us
1:10:45
and
1:10:45
we'll
1:10:45
be
1:10:45
the
1:10:46
ones
1:10:46
changing
1:10:46
how
1:10:46
retail
1:10:47
sounds.
1:10:49
Love
1:10:49
it.
1:10:49
And
1:10:50
if
1:10:50
people
1:10:50
want
1:10:50
to
1:10:50
get
1:10:50
in
1:10:50
touch
1:10:51
with
1:10:51
you
1:10:51
either
1:10:51
at
1:10:51
the
1:10:52
show,
1:10:52
if
1:10:52
they're
1:10:52
going
1:10:52
to
1:10:52
be
1:10:52
out
1:10:52
there,
1:10:53
they
1:10:53
want
1:10:53
to
1:10:53
set
1:10:53
up
1:10:53
a
1:10:53
meeting
1:10:53
with
1:10:54
you,
1:10:54
or
1:10:54
maybe,
1:10:54
you
1:10:55
know,
1:10:55
they're
1:10:55
watching
1:10:55
live
1:10:55
or
1:10:56
listening
1:10:56
later
1:10:56
and
1:10:56
they
1:10:56
want
1:10:57
to
1:10:57
get
1:10:57
in
1:10:57
touch
1:10:57
with
1:10:57
you,
1:10:57
what's
1:10:57
the
1:10:58
best
1:10:58
way
1:10:58
for
1:10:58
them
1:10:58
to
1:10:58
do
1:10:58
that?
1:10:59
That.
1:10:59
So
1:10:59
you
1:10:59
can
1:11:00
reach
1:11:00
me
1:11:00
through
1:11:01
email.
1:11:01
So
1:11:01
it's
1:11:01
Nicole.
1:11:02
N
1:11:02
I
1:11:02
C
1:11:03
O
1:11:03
L
1:11:03
E
1:11:03
Juki.
1:11:04
J
1:11:05
E
1:11:05
E
1:11:06
AI
1:11:08
Awesome.
1:11:09
Awesome.
1:11:09
Thanks,
1:11:09
Nicole.
1:11:10
Thank
1:11:11
you.
1:11:11
Appreciate
1:11:11
your
1:11:12
time.
1:11:12
Well,
1:11:13
all
1:11:13
right,
1:11:13
that
1:11:13
wraps
1:11:14
us
1:11:14
up
1:11:14
for
1:11:14
today.
1:11:14
We're
1:11:15
thankful
1:11:15
to
1:11:15
all
1:11:15
our
1:11:16
guests
1:11:16
and
1:11:16
to
1:11:16
those
1:11:16
of
1:11:17
you
1:11:17
who
1:11:17
are
1:11:17
able
1:11:17
to
1:11:17
join
1:11:18
us
1:11:18
live
1:11:18
and
1:11:18
to
1:11:19
those
1:11:19
listening
1:11:20
on
1:11:20
their
1:11:20
way,
1:11:20
even
1:11:21
possibly
1:11:21
to
1:11:21
Grocery
1:11:22
Shop
1:11:22
on
1:11:22
the
1:11:22
airplane,
1:11:23
we'll
1:11:23
be
1:11:24
heading
1:11:24
out
1:11:24
shortly
1:11:24
ourselves.
1:11:25
And
1:11:25
you
1:11:25
can
1:11:25
catch
1:11:25
our
1:11:26
full
1:11:26
live
1:11:26
coverage
1:11:27
of
1:11:27
Grocery
1:11:27
Shop,
1:11:28
brought
1:11:28
to
1:11:28
you
1:11:28
by
1:11:28
the
1:11:28
Fusion
1:11:29
group
1:11:29
beginning
1:11:30
this
1:11:30
weekend
1:11:30
and
1:11:30
available
1:11:31
to
1:11:31
you
1:11:31
on
1:11:31
LinkedIn,
1:11:32
our
1:11:32
YouTube
1:11:33
channel,
1:11:33
at
1:11:33
YouTube.com
1:11:34
omnitalk
1:11:35
retail
1:11:36
or
1:11:37
wherever
1:11:37
you
1:11:37
get
1:11:37
your
1:11:38
podcast.
1:11:39
So
1:11:39
until
1:11:39
then,
1:11:40
be
1:11:40
careful
1:11:40
out
1:11:41
there.