Latest / Omni Talk Retail / Confessions Of Supply Chain Executives | 2026 Is the Year Supply Chain Technology Stops Being a Prediction and Starts Being a Mandate

Transcript

Confessions Of Supply Chain Executives | 2026 Is the Year Supply Chain Technology Stops Being a Prediction and Starts Being a Mandate · Omni Talk Retail

0:00
Every
0:00
January,
0:01
supply
0:01
chain
0:02
executives
0:02
make
0:02
predictions.
0:03
AI
0:04
will
0:04
transform
0:05
everything.
0:05
Automation
0:06
will
0:06
solve
0:06
labor
0:07
shortages.
0:08
Real
0:08
time
0:08
visibility
0:09
will
0:10
finally
0:10
arrive.
0:11
And
0:12
by
0:12
the
0:12
end
0:12
of
0:12
every
0:13
December
0:13
of
0:14
that
0:14
very
0:14
same
0:14
year,
0:15
most
0:15
of
0:15
these
0:15
predictions
0:16
turn
0:16
out
0:17
to
0:17
be
0:17
they're
0:17
wildly
0:18
optimistic
0:18
or
0:19
completely
0:19
off
0:19
target.
0:20
But
0:21
will
0:21
2026
0:22
be
0:22
different?
0:23
We
0:23
are
0:23
at
0:24
a
0:24
convergence
0:24
point
0:24
where
0:25
multiple
0:25
technologies,
0:26
regulatory
0:26
requirements,
0:27
and
0:27
market
0:28
forces
0:29
seemingly
0:29
are
0:29
colliding.
0:30
Simultaneously,
0:31
the
0:32
trends
0:32
emerging
0:33
right
0:33
now
0:33
offer
0:33
the
0:34
potential
0:34
for
0:35
a
0:35
fundamental
0:35
restructuring
0:36
of
0:36
how
0:36
supply
0:37
chains
0:37
operate.
0:38
Today,
0:38
we're
0:38
going
0:39
to
0:39
cut
0:39
through
0:39
the
0:39
hype
0:39
and
0:40
identify
0:40
the
0:40
five
0:41
trends
0:41
that
0:42
will
0:42
actually
0:42
matter
0:42
in
0:43
2026,
0:43
the
0:44
ones
0:44
that
0:44
will
0:44
separate
0:45
industry
0:45
leaders
0:46
from
0:46
the
0:46
companies
0:47
scrambling
0:47
to
0:48
catch
0:48
up.
0:49
Welcome
0:49
to
0:49
Confessions
0:50
of
0:50
Supply
0:51
Chain
0:51
Executives,
0:52
the
0:52
podcast
0:52
where
0:52
we
0:52
get
0:53
brutally
0:53
honest
0:53
about
0:53
the
0:54
challenges,
0:54
failures,
0:55
and
0:55
also
0:55
celebrate
0:56
the
0:56
victories
0:57
shaping
0:57
the
0:57
future
0:57
of
0:58
retail
0:58
supply
0:59
chains.
0:59
I'm
0:59
your
0:59
host,
0:59
Chris
1:00
Wal.
1:00
Today's
1:01
episode
1:01
is
1:01
our
1:02
2026
1:03
supply
1:03
chain
1:03
forecast.
1:04
Not
1:05
the
1:05
wish
1:05
list,
1:06
not
1:06
the
1:06
vendor
1:06
pitches,
1:07
the
1:07
real
1:07
trends
1:08
that
1:08
are
1:08
actually
1:08
gaining
1:09
traction
1:09
right
1:09
now
1:10
and
1:10
will
1:11
reshape
1:11
retail
1:11
operations
1:12
over
1:12
the
1:12
next
1:13
12
1:13
months.
1:14
My
1:14
guest
1:14
is
1:14
Amir
1:15
Koshniati,
1:16
vice
1:16
president
1:16
at
1:17
Wiliot,
1:17
a
1:18
company
1:18
at
1:18
the
1:18
intersection
1:19
of
1:19
several
1:19
of
1:20
these
1:20
trends,
1:20
from
1:21
physical
1:21
AI
1:22
to
1:22
real
1:22
time
1:23
item
1:23
location
1:24
to
1:24
supply
1:24
chain
1:25
transparency.
1:26
Amir
1:27
works
1:27
with
1:28
some
1:28
of
1:28
the
1:28
world's
1:28
largest
1:29
retailers,
1:30
including
1:30
most
1:30
notably
1:31
Walmart,
1:31
giving
1:32
him
1:32
a
1:32
front
1:32
row
1:33
seat
1:33
into
1:33
what's
1:33
actually
1:34
being
1:34
implemented
1:35
versus
1:35
what's
1:36
just
1:36
being
1:36
talked
1:37
about.
1:38
We're
1:38
going
1:38
to
1:38
walk
1:38
through
1:39
five
1:39
critical
1:39
trends
1:40
and
1:40
we
1:40
are
1:41
going
1:41
to
1:41
examine
1:42
just
1:42
how
1:42
interconnected
1:43
they
1:44
all
1:44
might
1:45
be.
1:45
Amir,
1:46
welcome
1:47
to
1:47
Confessions
1:48
of
1:48
Supply
1:48
Chain
1:49
Executives.
1:49
Thank
1:50
you
1:50
for
1:50
having
1:50
me.
1:50
Yeah,
1:51
I'm
1:51
excited
1:51
to
1:51
talk
1:51
to
1:52
you.
1:52
Where
1:52
am
1:52
I
1:52
speaking
1:53
to
1:53
you?
1:53
Where
1:54
are
1:54
you
1:54
today,
1:54
Amir?
1:55
Well,
1:55
today
1:55
I'm
1:56
actually
1:56
at
1:56
home
1:57
in
1:57
Laguna
1:58
Beach.
1:58
Oh,
1:59
Laguna
1:59
beach,
1:59
man.
2:00
Now
2:00
I'm
2:00
super
2:00
jealous
2:01
because
2:01
here
2:01
it's
2:01
very.
2:02
Still
2:02
very
2:02
cold
2:03
in
2:03
Minneapolis.
2:04
All
2:04
right,
2:04
Amir.
2:04
But
2:04
before
2:05
we
2:05
dive
2:05
into
2:05
each
2:05
trend
2:05
individually,
2:06
I
2:07
want
2:07
to
2:07
start
2:07
with
2:07
the
2:07
big
2:07
picture.
2:08
You've
2:08
been
2:08
working
2:08
with
2:08
some
2:09
of
2:09
the
2:09
largest
2:09
retailers
2:10
in
2:10
the
2:10
world.
2:10
As
2:10
I
2:10
said,
2:10
in
2:10
the
2:11
open.
2:11
When
2:12
you
2:12
look
2:12
at
2:12
2026,
2:13
I'm
2:13
curious
2:13
what's
2:14
different
2:14
about
2:15
this
2:15
year
2:16
compared
2:16
to
2:16
the
2:17
past
2:17
few
2:17
years
2:17
in
2:18
terms
2:18
of
2:18
supply
2:19
chain
2:19
technology
2:20
adoption?
2:20
Is,
2:21
are
2:21
we
2:21
seeing,
2:22
is
2:22
it
2:22
just
2:22
more
2:22
incremental
2:23
evolution
2:23
like
2:23
we've
2:24
seen
2:24
in
2:24
years
2:24
past,
2:24
or
2:24
are
2:25
we
2:25
actually
2:25
at
2:25
a
2:25
real,
2:26
honest
2:26
to
2:26
God,
2:26
inflection
2:27
point
2:27
in
2:27
your
2:27
mind?
2:28
Major
2:28
inflection
2:28
point.
2:29
I
2:29
think
2:29
the
2:30
biggest,
2:30
biggest
2:31
theme
2:31
this
2:32
year
2:32
going
2:32
into
2:32
it
2:33
is
2:33
that
2:34
the
2:34
embracing
2:35
of
2:35
technology
2:36
is
2:36
at
2:36
a
2:36
velocity
2:37
that
2:37
it's
2:37
Never,
2:38
never
2:38
been
2:38
in
2:39
prior
2:39
years.
2:39
So
2:40
I
2:40
think
2:40
a
2:40
lot
2:40
of
2:41
these
2:41
years
2:41
it's
2:42
been
2:42
about
2:42
evaluation.
2:43
It's
2:43
about
2:43
starting
2:44
with
2:44
pilots
2:44
and
2:45
then
2:45
kind
2:45
of
2:45
waiting
2:46
and
2:46
then
2:46
they
2:46
die
2:47
off.
2:47
And
2:47
then
2:47
you
2:47
got
2:47
to
2:47
bring
2:47
the
2:48
new
2:48
technology
2:48
evaluation
2:49
through
2:49
the,
2:50
through
2:50
the
2:50
queue
2:50
with
2:51
various
2:52
stakeholders.
2:53
What's
2:53
different
2:53
this
2:53
year
2:54
is
2:54
I
2:54
think
2:55
the
2:56
ecosystem
2:56
is
2:57
starting
2:57
to
2:57
understand
2:58
that
2:59
the
3:00
need
3:00
for
3:00
a
3:01
solution
3:01
that's
3:01
more
3:01
robust
3:02
has
3:03
more
3:04
wings
3:04
behind
3:04
it.
3:05
So
3:05
capabilities
3:06
up
3:06
the
3:06
technology
3:07
ladder
3:07
is
3:08
an
3:08
all
3:08
time
3:08
high
3:09
and
3:09
it's,
3:09
it's
3:10
leading
3:10
to
3:10
a
3:10
lot
3:10
of
3:10
market
3:11
traction
3:11
overall.
3:12
So
3:12
like
3:12
Amir,
3:13
as
3:13
we
3:13
again
3:14
we
3:14
keep
3:14
it
3:14
a
3:14
30,000
3:15
foot
3:15
view
3:15
here,
3:15
like
3:16
is
3:16
there,
3:16
are
3:16
there
3:17
any
3:17
through
3:17
lines
3:18
as
3:18
to
3:19
like
3:20
with
3:20
that
3:20
kind
3:20
of
3:20
group,
3:21
all
3:21
the
3:21
trends
3:21
together
3:22
in
3:22
terms
3:22
of
3:22
your,
3:22
what
3:23
you're
3:23
seeing
3:23
impact
3:23
the
3:23
marketplace?
3:24
That
3:25
and
3:25
by
3:25
that
3:25
I
3:26
mean
3:26
like
3:26
through
3:26
lines.
3:26
I
3:26
mean
3:26
are
3:27
there
3:27
ones
3:27
that
3:27
are
3:27
actually
3:28
getting
3:28
budget
3:28
and
3:28
executive
3:29
attention
3:29
versus
3:30
just
3:30
you
3:30
know,
3:30
say
3:31
PowerPoints
3:31
that
3:31
are
3:31
collecting
3:32
dust?
3:32
Are
3:32
there
3:32
any
3:32
through
3:33
lines
3:33
that
3:33
connect
3:33
them
3:33
all?
3:34
When
3:34
you
3:34
step
3:34
back,
3:35
there
3:35
is.
3:35
But
3:35
I
3:36
think
3:36
where
3:36
it
3:36
really
3:37
starts
3:37
outside
3:37
of
3:37
just
3:38
the
3:38
budget
3:38
discussion,
3:38
that
3:39
somebody
3:39
unlocks
3:39
something,
3:40
it
3:40
really
3:41
starts
3:41
with
3:42
the
3:42
pain
3:42
point
3:43
and
3:43
the
3:44
ability
3:45
to
3:45
quantify
3:46
that
3:46
pain
3:46
point
3:46
so
3:47
the
3:47
budget
3:47
can
3:47
really
3:47
be
3:48
formulated.
3:49
So
3:49
when
3:49
you
3:49
look
3:50
at
3:50
some
3:50
of
3:50
the
3:50
engagements
3:51
that
3:51
we've
3:51
been
3:51
under
3:52
and
3:52
you
3:52
look
3:52
at
3:52
some
3:52
of
3:52
the
3:52
sensing
3:53
capabilities,
3:54
there
3:55
is
3:55
an
3:55
underlying
3:55
foundation
3:56
that's
3:56
driving
3:57
that
3:57
use
3:58
case
3:58
and
3:58
that
3:58
pain
3:59
point
3:59
that
3:59
then
4:00
backs
4:00
into
4:00
a
4:00
reason
4:01
to
4:01
go
4:01
and
4:01
invest
4:01
in
4:01
a
4:02
technology
4:02
like
4:03
ours
4:03
or
4:03
something
4:04
equal
4:05
in
4:05
the
4:05
market
4:05
with
4:05
different
4:06
capabilities.
4:07
And
4:08
that
4:08
really
4:08
starts
4:09
with
4:09
working
4:09
on
4:10
what
4:10
that
4:11
pain
4:11
point
4:11
might
4:11
be.
4:12
So
4:12
for
4:12
example,
4:12
in
4:13
something
4:13
with
4:13
imperishables,
4:15
if
4:15
you
4:15
have
4:15
a
4:16
pallet
4:16
that
4:17
is
4:17
stuck
4:18
at
4:18
a
4:18
distribution
4:19
center
4:19
or
4:20
stuck
4:20
on
4:20
a
4:20
trailer
4:20
or
4:21
gets
4:21
offloaded
4:22
the
4:22
trailer
4:22
and
4:22
it's
4:22
sitting
4:22
there
4:23
with
4:23
dwell
4:23
time.
4:24
Well,
4:25
every
4:25
minute
4:25
of
4:25
dwell
4:26
time
4:26
gets
4:27
you
4:27
one
4:27
second
4:28
closer
4:28
to
4:29
actually
4:29
having
4:30
that
4:30
perishable
4:31
be
4:31
something
4:31
that
4:31
you
4:32
cannot
4:32
sell
4:32
because
4:33
it's,
4:33
it's
4:34
going
4:34
to
4:34
be
4:34
past
4:34
the
4:35
parameters
4:35
and
4:36
it's
4:36
going
4:36
to
4:36
be
4:37
harmful
4:37
to
4:37
whoever
4:38
is
4:38
going
4:38
to
4:38
be
4:38
taking
4:39
that,
4:39
taking
4:39
that
4:40
in.
4:40
So
4:41
something
4:41
like
4:41
that
4:42
you
4:42
can
4:42
quantify,
4:42
you
4:43
can
4:43
figure
4:43
out
4:43
if
4:43
it's
4:44
a
4:44
pallet
4:44
of
4:44
meats,
4:44
if
4:45
it's
4:45
a
4:45
pallet
4:46
of
4:46
dairies,
4:46
what
4:46
are
4:47
the
4:47
items
4:47
and
4:47
then
4:47
what
4:48
is
4:48
that
4:48
inflection
4:48
point
4:49
that
4:49
something
4:49
can
4:49
go
4:50
bad.
4:51
And
4:51
then
4:51
based
4:52
on
4:52
some
4:52
of
4:52
those
4:52
data
4:53
points,
4:53
say
4:53
you
4:54
can
4:54
quantify
4:54
something
4:55
and
4:55
then
4:55
bring
4:55
it
4:55
to
4:56
bring
4:56
in
4:56
a
4:56
right
4:56
solution
4:57
to,
4:57
to
4:57
address
4:57
that.
4:58
I
4:58
love
4:58
you
4:58
said
4:59
that
4:59
Amir.
4:59
It's
4:59
funny.
4:59
You
4:59
know,
5:00
we
5:00
call
5:00
this
5:00
our
5:00
trends
5:01
episode.
5:01
But
5:01
as,
5:02
as
5:02
I've
5:02
been
5:02
doing
5:02
this
5:02
show
5:03
for
5:03
eight
5:03
years
5:03
now,
5:03
I
5:04
sometimes
5:04
sit
5:04
back
5:04
and
5:04
I
5:05
wonder
5:05
like,
5:05
should
5:06
I
5:06
not
5:06
be
5:06
talking
5:06
about
5:07
the
5:07
pain
5:07
points
5:08
that
5:08
are
5:08
driving
5:08
change
5:09
or
5:09
the
5:09
opportunities
5:10
that
5:10
are
5:10
driving
5:10
change?
5:11
Versus
5:11
I
5:11
think
5:11
sometimes
5:12
we
5:12
get
5:12
mixed
5:13
up
5:13
with
5:13
like
5:13
the
5:13
tech
5:14
trends
5:14
that
5:14
are
5:14
driving
5:15
change.
5:15
It's
5:15
really
5:15
not
5:16
the
5:16
tech
5:16
trends.
5:16
It's
5:17
actually
5:17
the
5:17
pain
5:18
points
5:18
and
5:18
the
5:18
opportunities
5:19
as
5:19
you,
5:19
as
5:20
you
5:20
describe
5:20
them.
5:20
Okay,
5:21
but,
5:21
but
5:21
you
5:22
know,
5:22
even,
5:22
even
5:22
as
5:23
I
5:23
say
5:23
that,
5:23
I'm
5:23
going
5:23
to
5:23
talk
5:24
out
5:24
of
5:24
both
5:24
sides
5:24
of
5:24
my
5:25
mouth
5:25
because
5:25
I
5:25
do
5:25
want
5:26
to
5:26
talk
5:26
about
5:26
the
5:26
trends
5:27
that
5:27
are
5:27
impacting
5:28
supply
5:28
chain
5:29
too.
5:29
And
5:29
the
5:29
first
5:29
one
5:30
I
5:30
heard
5:30
about,
5:31
which
5:31
I
5:31
think
5:32
you
5:32
know,
5:33
which
5:33
I
5:33
heard
5:33
about
5:33
really
5:34
from,
5:34
from
5:34
you
5:34
all
5:34
at
5:35
Wiliot
5:35
for
5:35
the
5:35
first
5:35
time
5:36
was
5:36
physical
5:36
AI.
5:37
And
5:37
then
5:37
I
5:38
went
5:38
to
5:38
NRF
5:38
and
5:39
everyone
5:39
was
5:39
talking
5:40
about
5:40
it.
5:40
So
5:40
I'm
5:41
curious,
5:41
like,
5:41
how
5:41
do
5:41
you
5:41
define
5:43
physical
5:43
AI
5:43
for
5:44
the
5:44
audience?
5:44
What
5:44
is
5:45
it
5:45
and
5:45
why
5:46
is
5:46
it
5:46
suddenly
5:47
everywhere?
5:47
Our
5:48
definition
5:49
of
5:50
physical
5:50
AI
5:50
and
5:50
these,
5:51
these
5:51
are
5:51
great
5:51
questions
5:51
because
5:52
the
5:52
trend
5:52
and
5:53
buzzwords
5:53
are
5:53
everywhere
5:53
and
5:54
it
5:54
seems
5:54
like
5:54
everyone
5:54
is
5:55
kind
5:55
of
5:55
running
5:55
with
5:55
them.
5:55
And
5:56
then
5:56
all
5:56
of
5:56
a
5:56
sudden,
5:56
once
5:56
you
5:57
grasp
5:57
it,
5:57
something
5:58
else
5:58
comes,
5:58
comes
5:59
forward.
5:59
The,
6:00
the,
6:00
the
6:00
term
6:01
physical
6:01
AI
6:02
is
6:02
no
6:02
different
6:02
than
6:03
a
6:03
lot
6:03
of
6:03
the
6:03
use
6:04
cases
6:04
that
6:04
we've
6:04
had
6:05
over
6:05
the,
6:05
over
6:05
the
6:06
years
6:06
in
6:06
the
6:06
market.
6:07
It's
6:07
really
6:08
the
6:08
foundation
6:08
of
6:09
taking
6:09
every
6:09
physical
6:10
asset,
6:11
assigning
6:11
a
6:11
digital
6:11
identity,
6:12
being
6:13
able
6:13
to
6:13
ingest
6:13
that
6:14
data,
6:14
and
6:15
then
6:15
utilize
6:16
AI
6:16
to
6:17
run
6:17
insights
6:18
on
6:18
the
6:18
data
6:18
that's
6:19
coming
6:19
in
6:19
from
6:19
those
6:19
physical
6:20
assets.
6:20
So
6:21
if
6:21
you,
6:21
if
6:21
you
6:21
take
6:22
a
6:22
trajectory
6:22
kind
6:23
of
6:23
backwards
6:24
now
6:25
with
6:25
legacy
6:25
technologies
6:26
like
6:26
barcodes,
6:27
with
6:27
rfid,
6:28
this
6:28
trend
6:29
of
6:29
being
6:29
able
6:29
to
6:30
tag
6:30
physical
6:31
items
6:31
and
6:32
then
6:32
ingest
6:32
data
6:33
around
6:33
their
6:33
location
6:34
around
6:34
some
6:34
information
6:35
around
6:36
the,
6:36
the
6:36
SKU
6:37
information
6:37
of
6:37
that
6:38
item
6:38
is
6:38
nothing
6:39
new.
6:39
We've
6:39
been
6:39
doing
6:39
it
6:40
for
6:40
years
6:40
and
6:40
years.
6:41
The
6:42
ability
6:42
to
6:42
take
6:43
now
6:43
those
6:43
items
6:44
and
6:44
then
6:44
take
6:45
it
6:45
one
6:45
layer
6:45
up
6:46
from
6:46
a
6:46
tech
6:46
stack
6:46
perspective
6:47
and
6:47
be
6:48
able
6:48
to
6:48
report
6:49
on
6:49
sensing
6:50
data
6:50
behind
6:50
them.
6:51
That's
6:51
what's
6:51
new.
6:52
So
6:53
all
6:53
of
6:53
this
6:54
data
6:54
now
6:54
being
6:54
ingested
6:55
in
6:55
and
6:55
us
6:56
as
6:56
a
6:56
platform
6:56
company
6:57
being
6:57
able
6:57
to
6:57
be
6:58
that,
6:58
that
6:58
umbrella
6:59
that
6:59
takes
6:59
in
6:59
all
7:00
the
7:00
data,
7:00
that's
7:01
where
7:01
the
7:01
AI
7:02
component
7:02
comes
7:02
in.
7:03
Because
7:03
that
7:03
data
7:04
coming
7:04
in
7:04
is
7:05
just
7:05
raw
7:05
data.
7:05
At
7:06
the
7:06
end
7:06
of
7:06
the
7:06
day,
7:06
it
7:06
needs
7:06
to
7:07
be
7:07
decrypted.
7:07
You
7:08
have
7:08
to
7:08
make
7:08
sense
7:09
of
7:09
it.
7:09
And
7:09
that's
7:09
where
7:09
the
7:10
AI
7:10
really
7:11
brings
7:11
value
7:11
to
7:12
all
7:12
the
7:12
data.
7:13
Got
7:13
it.
7:14
So,
7:14
Amir,
7:14
so
7:14
if
7:15
I
7:15
say
7:15
that
7:15
back
7:15
to
7:15
you,
7:15
so
7:15
what
7:16
you're
7:16
saying
7:16
to
7:16
me
7:16
then
7:16
fundamentally
7:17
is
7:17
that
7:18
before
7:18
we
7:19
had
7:19
IoT
7:19
technology
7:20
and
7:20
sensor
7:21
technologies,
7:21
but
7:21
you're
7:22
saying
7:22
now
7:22
that
7:22
there's
7:23
the
7:23
AI
7:23
component
7:24
added
7:24
into
7:25
that
7:25
enables
7:26
us
7:26
to
7:26
take
7:26
those
7:27
technologies
7:27
to
7:27
a
7:28
different
7:28
place.
7:28
Am
7:28
I
7:29
hearing
7:29
you
7:29
right?
7:29
That's
7:30
correct.
7:30
It's
7:31
a
7:31
new
7:31
variable
7:31
that's,
7:32
that's
7:32
in
7:32
the
7:32
mix.
7:32
And
7:32
I
7:33
even,
7:33
I
7:33
question
7:34
sometimes
7:35
the
7:35
term
7:36
IoT
7:36
as
7:37
well,
7:37
because
7:38
the
7:38
time
7:38
when,
7:38
when
7:39
IoT
7:39
was
7:40
being
7:40
coined,
7:41
it
7:41
wasn't
7:41
really
7:42
Internet
7:43
of
7:43
Things,
7:43
it
7:43
was
7:43
more
7:44
Internet
7:44
of
7:44
devices.
7:45
Right.
7:45
We
7:46
all
7:46
had,
7:46
we,
7:46
we
7:47
all
7:47
went
7:47
to
7:47
the
7:47
cloud,
7:48
we
7:48
started
7:49
using
7:49
tablets,
7:50
we,
7:50
we
7:50
had
7:51
multiple
7:51
mobile
7:51
devices.
7:53
The
7:53
reality
7:53
was
7:54
the
7:54
assets
7:55
in
7:55
the
7:55
market,
7:55
those
7:55
physical
7:56
items
7:56
weren't
7:57
tagged
7:57
fully.
7:58
So
7:59
we
7:59
had
7:59
devices
7:59
that
8:00
shared
8:00
information.
8:01
You
8:01
had
8:01
icloud
8:01
accounts,
8:02
you
8:02
had,
8:02
you
8:03
know,
8:03
Microsoft,
8:03
Google
8:04
accounts.
8:04
All
8:04
the
8:05
data
8:05
was
8:05
shared
8:05
between
8:06
your
8:06
devices.
8:06
But
8:06
it
8:07
doesn't
8:07
necessarily
8:07
mean
8:08
the
8:08
things
8:08
and
8:09
the
8:09
items
8:09
out
8:09
there
8:10
were
8:10
relaying
8:11
data.
8:12
But
8:12
we've
8:13
now
8:13
evolved
8:14
from
8:14
Internet
8:14
of
8:14
devices
8:15
into
8:16
an
8:16
ecosystem
8:17
of
8:17
what
8:17
you
8:18
call
8:18
Internet
8:18
of
8:19
Things.
8:19
And
8:19
now
8:20
with
8:20
ambient
8:20
IOT
8:21
and
8:21
physical
8:22
AI,
8:22
you're
8:23
bringing
8:23
all
8:23
the
8:23
data
8:23
to
8:24
one
8:24
central
8:25
source.
8:26
And
8:26
yeah,
8:26
you
8:26
can
8:26
now
8:26
coin
8:27
that
8:27
there
8:27
is
8:28
digital
8:28
identities
8:29
for
8:29
all
8:29
these
8:30
things
8:30
in
8:30
the,
8:30
in
8:31
the
8:31
ecosystem.
8:32
So
8:32
before
8:32
we
8:33
get
8:33
too
8:33
far
8:33
in
8:33
front
8:33
of
8:34
ourselves,
8:34
like,
8:34
I'm
8:34
curious,
8:34
like
8:35
if
8:35
we
8:35
just
8:35
step
8:35
back
8:35
again,
8:36
like
8:36
where
8:36
are
8:37
we
8:37
in
8:37
terms
8:37
of
8:37
adoption?
8:38
Like
8:38
how,
8:39
how
8:39
prevalent
8:40
is
8:40
this
8:40
across
8:41
the
8:41
industry
8:42
at
8:42
this
8:42
point,
8:43
you
8:43
know,
8:43
in
8:43
terms
8:44
of,
8:44
you
8:44
know,
8:44
how
8:44
people
8:45
should
8:45
think
8:45
about
8:45
it,
8:46
in
8:46
terms
8:46
of
8:46
where
8:46
it's
8:47
going
8:47
next?
8:47
Yeah,
8:48
I
8:48
still
8:48
think
8:49
From
8:49
a
8:50
physical
8:50
AI
8:51
ambient
8:52
IoT
8:52
storyline,
8:53
we're
8:53
still
8:54
in
8:54
infancy.
8:56
I
8:56
take
8:56
this
8:56
cautiously.
8:58
We
8:58
have
8:59
the
8:59
ability
8:59
right
9:00
now
9:00
to
9:01
mass
9:01
produce
9:02
tags,
9:02
put
9:03
them
9:03
on
9:03
items,
9:04
give
9:04
a
9:04
digital
9:05
identity,
9:06
relay
9:07
some
9:08
level
9:08
of
9:08
location,
9:11
the
9:11
information
9:12
around
9:12
the
9:12
SKU
9:13
information,
9:13
that's
9:14
all
9:14
barcodes,
9:14
RFID
9:15
and
9:16
Wiliot
9:16
can
9:17
address
9:17
that
9:17
with
9:18
a
9:18
portion
9:18
of
9:19
our
9:19
technology
9:19
capabilities.
9:21
The
9:21
infrastructure
9:22
to
9:22
take
9:22
a
9:22
tag
9:23
and
9:23
apply
9:23
it
9:23
on
9:23
a
9:24
physical
9:24
item
9:24
that's
9:25
in
9:25
place
9:26
already
9:26
as
9:27
well.
9:27
The
9:28
sensing
9:28
capability,
9:29
the
9:29
temperature,
9:30
the
9:30
humidity,
9:30
if
9:31
it's
9:31
embedded
9:31
in
9:32
a,
9:32
in
9:32
a
9:32
package,
9:33
that
9:33
exposure
9:33
to
9:34
light
9:34
to
9:34
prevent
9:34
tamper
9:35
detection,
9:36
all
9:36
these
9:36
capabilities
9:37
have
9:37
been
9:37
requirements
9:38
over
9:38
the
9:38
years.
9:39
The,
9:40
the
9:41
adoption
9:41
of
9:42
it
9:42
now
9:42
is
9:43
still
9:43
in
9:43
the
9:43
early
9:44
stages.
9:45
Now
9:45
if
9:45
I'm
9:45
making
9:46
a
9:46
forward
9:46
looking
9:46
statement
9:47
of
9:47
where
9:47
we
9:47
would
9:48
be
9:48
going
9:48
over
9:48
the
9:48
next
9:49
few
9:49
years,
9:50
this
9:50
ability
9:51
to
9:51
authenticate
9:52
your
9:52
items
9:52
and
9:53
then
9:53
be
9:53
able
9:53
to
9:53
provide
9:54
sensing
9:55
data
9:55
behind
9:55
them,
9:56
sky's
9:57
the
9:57
limit.
9:57
And
9:58
if
9:58
you
9:58
look
9:58
at
9:58
all
9:59
the
9:59
different
9:59
types
9:59
of
10:00
tagging
10:00
and
10:00
applications
10:01
out
10:01
there,
10:02
all
10:02
of
10:03
them
10:03
have
10:03
the
10:04
ability
10:04
as
10:04
an
10:04
economy
10:05
of
10:05
scale
10:05
to
10:06
take
10:06
on
10:06
something
10:07
like
10:07
will
10:07
it
10:07
as
10:08
the
10:09
adoption
10:09
goes
10:09
up.
10:10
So
10:10
we
10:10
have
10:11
some
10:11
really
10:11
good
10:12
notable
10:12
wins
10:13
in
10:13
the
10:13
market
10:13
that
10:14
are
10:14
starting
10:14
to
10:14
give
10:15
rise.
10:16
But
10:16
it's
10:17
just
10:17
surface
10:17
level.
10:18
So
10:18
if
10:18
you
10:18
take
10:18
it
10:18
really
10:19
back
10:19
to
10:19
all
10:19
the
10:20
barcode
10:20
RFID,
10:21
QR
10:22
applications,
10:23
there's
10:23
no
10:24
reason
10:24
we
10:24
shouldn't
10:24
be
10:24
in
10:25
there.
10:26
It's
10:26
a
10:26
time
10:27
and
10:27
an
10:27
adoption
10:27
storyline.
10:28
Yeah.
10:29
Well,
10:29
that
10:29
brings
10:29
me
10:29
to
10:30
the
10:31
second
10:31
trend
10:31
that
10:31
I
10:31
wanted
10:32
to
10:32
talk
10:32
about,
10:32
which
10:32
you've
10:32
already
10:33
alluded
10:33
to
10:33
a
10:33
number
10:33
of
10:34
times
10:34
in
10:34
this
10:34
conversation,
10:35
which
10:35
is
10:36
the
10:36
idea
10:36
of
10:36
real
10:37
time
10:37
item
10:37
location.
10:39
It's
10:39
where
10:40
we're
10:40
seeing
10:40
a
10:40
lot
10:40
of
10:40
technology
10:41
decisions
10:41
being
10:41
made
10:42
right
10:42
now.
10:42
You
10:43
know,
10:43
Walmart
10:43
announced
10:43
a
10:44
major
10:44
BLE
10:44
initiative
10:45
with
10:45
you.
10:45
Others
10:46
are
10:46
doubling
10:46
down
10:46
on
10:46
rfid.
10:48
You
10:48
know,
10:48
everyone's
10:49
trying
10:49
to
10:49
figure
10:49
out
10:49
which
10:49
horse
10:49
to
10:50
bet
10:50
on.
10:50
So
10:50
I'm
10:50
curious,
10:50
like,
10:51
but
10:51
before
10:51
we
10:51
go
10:51
there,
10:52
let's
10:52
start
10:52
with
10:52
the
10:52
basics.
10:53
So
10:53
like,
10:55
you
10:55
know
10:55
what,
10:56
what
10:56
is,
10:56
what
10:56
has
10:57
fundamentally
10:57
changed
10:58
in
10:58
the
10:58
marketplace
10:59
that
10:59
has
10:59
made
11:00
real
11:00
time
11:00
item
11:01
visibility?
11:03
What
11:03
has
11:03
made
11:03
it
11:03
move
11:04
from
11:04
a
11:04
nice
11:04
to
11:04
have
11:05
into
11:05
a
11:05
must
11:06
have?
11:06
Has
11:06
there
11:06
been
11:07
one
11:07
seminal
11:07
moment?
11:08
Has
11:08
the
11:08
technology
11:09
just,
11:10
you
11:10
know,
11:10
met
11:10
a
11:10
certain
11:10
level
11:11
of
11:11
performance?
11:12
Like
11:12
how
11:13
would
11:13
you,
11:13
how
11:13
would
11:13
you
11:13
assess
11:14
that
11:14
question?
11:15
Well,
11:15
I
11:15
think
11:15
two
11:15
parts,
11:16
so,
11:16
so
11:16
I
11:16
think
11:17
I'll
11:17
take
11:17
the
11:18
first
11:18
part
11:18
is,
11:19
is
11:19
the
11:19
adoption
11:20
velocity
11:21
is
11:21
really
11:22
due
11:22
to
11:23
the
11:23
pain
11:23
points
11:24
that
11:24
we
11:24
started
11:25
the
11:25
discussion
11:25
around.
11:26
I
11:26
think
11:26
as,
11:26
as
11:27
merchandising
11:28
folks,
11:28
supply
11:29
chain
11:29
folks
11:30
started
11:31
to
11:31
really
11:31
look
11:31
at
11:32
their
11:33
losses
11:33
each
11:34
year,
11:35
their
11:35
ability
11:36
to
11:36
keep,
11:36
keep
11:36
visibility
11:37
through
11:37
the
11:37
supply
11:38
chain
11:38
for
11:38
their
11:38
items,
11:39
finger
11:40
pointing
11:40
when
11:40
there's
11:40
a
11:41
handoff
11:41
from
11:41
one
11:41
node
11:42
to
11:42
the
11:42
second
11:42
node
11:43
within
11:43
a
11:43
supply
11:43
chain
11:44
of
11:44
who's
11:44
responsible?
11:45
Did
11:45
you
11:45
ship
11:45
it
11:45
right?
11:46
Why
11:46
did
11:47
that
11:47
never
11:47
happen
11:47
to
11:48
Mir?
11:48
What
11:48
are
11:48
you
11:48
talking
11:48
about?
11:49
That
11:49
never
11:49
happens.
11:49
So
11:50
some,
11:50
some
11:50
of
11:50
these
11:51
variables,
11:52
I
11:52
think
11:52
that
11:52
again
11:53
they
11:53
get
11:53
quantified
11:54
and
11:54
then
11:54
the
11:54
need
11:55
for
11:55
a
11:55
solution
11:55
to
11:56
come
11:56
in
11:56
and
11:56
fix
11:57
it
11:57
is,
11:57
is
11:58
the
11:58
starting
11:58
point.
11:59
And
11:59
now
12:00
that
12:00
you
12:00
see
12:00
so
12:01
many
12:01
successful
12:02
deployments,
12:02
especially
12:02
on
12:03
the
12:03
RFID
12:03
side
12:04
over
12:04
the
12:04
years,
12:05
it's
12:05
very
12:06
easy
12:06
to
12:06
make
12:06
a
12:06
business
12:07
decision
12:07
because
12:07
you
12:08
have
12:08
the
12:08
same
12:08
pain
12:08
points
12:09
and
12:09
you've
12:09
seen
12:10
over
12:10
your
12:10
left
12:10
shoulder
12:11
and
12:11
right
12:11
shoulder
12:11
your
12:12
competitors
12:12
also
12:13
implementing
12:13
these
12:14
technologies.
12:14
So
12:15
the
12:15
risk
12:15
profile
12:16
of
12:16
really
12:17
investing
12:17
into
12:17
a
12:18
new
12:18
technology
12:19
is
12:19
much
12:20
lower
12:20
than
12:20
taking
12:21
it
12:21
in
12:21
a
12:21
greenfield
12:22
arena.
12:23
Now
12:24
the
12:24
other
12:25
side
12:25
of
12:25
this
12:25
storyline
12:26
is
12:26
really
12:27
the
12:28
ambient
12:28
IoT
12:28
storyline
12:29
and
12:30
the
12:31
technology
12:31
stack
12:31
that,
12:32
that
12:32
we're
12:33
right
12:33
now
12:35
approaching.
12:35
And
12:35
that
12:35
technology
12:36
Stack
12:36
is
12:37
really
12:37
around.
12:38
We've
12:38
understood
12:39
that
12:39
there
12:39
has
12:39
been
12:40
limitations
12:41
with
12:41
certain
12:41
technologies
12:42
out
12:42
there.
12:43
We've
12:43
understood
12:44
that
12:45
cost
12:45
to
12:46
scale
12:46
in
12:46
RFID
12:47
implementation
12:48
sometimes
12:49
is
12:50
astronomic
12:51
when
12:51
you
12:51
get
12:51
into
12:52
multiple
12:52
sites
12:52
and
12:53
when
12:53
you
12:53
get
12:53
into
12:54
trailers
12:54
and
12:54
everything
12:55
that's
12:55
in
12:55
transit.
12:56
There
12:56
really
12:56
is
12:57
no
12:57
ROI
12:58
with
12:58
all
12:58
the
12:59
expensive
12:59
infrastructure
13:00
that
13:00
goes
13:00
into
13:00
it.
13:01
So
13:01
we
13:01
have
13:02
found
13:02
some
13:02
sweet
13:02
spots
13:03
in
13:03
the
13:03
market
13:03
that
13:03
our
13:04
solution
13:04
fits
13:04
very
13:05
well.
13:06
And
13:06
I
13:06
wouldn't
13:07
say
13:07
it's
13:07
competitive
13:08
to
13:08
rfid.
13:09
It
13:09
should
13:09
be
13:10
drawn
13:11
a
13:11
line
13:11
in
13:11
the
13:11
sand
13:12
that
13:12
we
13:12
have
13:13
certain
13:13
use
13:13
cases
13:13
that
13:14
fit
13:14
very
13:14
well
13:15
with
13:15
ambient
13:15
IoT
13:16
and
13:16
where
13:16
will
13:16
it's
13:17
going.
13:17
And
13:18
there's
13:18
certain
13:18
use
13:18
cases
13:19
that
13:19
RFID
13:20
plays
13:20
very
13:20
well.
13:21
So
13:21
if
13:22
you're
13:22
looking
13:22
for
13:22
a
13:23
conveyor
13:23
belt
13:24
with
13:24
200
13:25
items
13:25
per
13:25
minute,
13:26
this
13:27
requires
13:28
a
13:28
lot
13:28
of
13:28
speed.
13:30
Typically
13:30
infrastructure
13:31
is
13:31
very
13:32
minimal.
13:32
You
13:32
can
13:32
have
13:33
like
13:33
some,
13:33
some
13:34
terminal
13:34
or
13:34
gate
13:35
that,
13:35
that
13:35
it
13:35
runs
13:36
through
13:36
really
13:36
quick
13:36
and
13:37
it's
13:37
one
13:37
choke
13:37
point.
13:38
So
13:38
the,
13:38
the
13:39
scale
13:39
is,
13:40
its
13:41
ability
13:41
to
13:41
really
13:41
scale
13:42
there
13:43
is
13:43
justified.
13:44
But
13:45
then
13:45
you
13:45
get
13:45
into
13:45
all
13:45
these
13:46
other
13:46
use
13:46
cases
13:46
that
13:47
require
13:47
temperature.
13:48
They
13:49
require
13:49
you
13:50
to
13:50
really
13:50
automate
13:51
assets,
13:52
leaving
13:52
one
13:52
facility
13:53
being
13:53
received.
13:54
It
13:54
requires
13:55
visibility
13:56
throughout
13:56
the
13:56
journey.
13:57
That's
13:57
areas
13:57
where
13:58
RFID
13:58
typically
13:59
doesn't
13:59
play
13:59
well.
14:00
And
14:00
a
14:00
solution
14:00
like
14:00
ours
14:01
will
14:01
play
14:02
perfectly.
14:03
So
14:04
I
14:04
think
14:04
as
14:05
we've
14:05
had
14:06
an
14:06
opportunity
14:06
to
14:07
really
14:07
understand
14:07
where
14:08
in
14:08
the
14:08
market
14:08
there
14:09
is
14:09
limitations
14:10
and
14:10
where
14:11
you
14:11
can
14:11
draw
14:11
that
14:11
line
14:12
in
14:12
the
14:12
sand
14:12
and
14:12
find
14:13
a
14:13
complementary
14:13
solution
14:14
and
14:14
get
14:15
full
14:15
visibility
14:15
through
14:16
your
14:16
supply
14:16
chain,
14:17
those
14:18
are
14:18
the
14:18
areas
14:18
that
14:19
we're
14:19
starting
14:19
to
14:19
take
14:20
much
14:20
more
14:21
traction
14:21
and
14:21
we're
14:21
seeing
14:22
things
14:22
really
14:22
scaled
14:23
in
14:23
the
14:23
right
14:23
format.
14:24
And
14:25
if
14:25
again,
14:25
if
14:25
I'm
14:25
looking
14:26
forward,
14:26
looking
14:26
now
14:27
into
14:27
the
14:27
future
14:27
and
14:27
where
14:27
we're
14:28
going,
14:28
it
14:29
every
14:29
game
14:30
in
14:30
this,
14:30
in
14:30
this,
14:30
in
14:31
our
14:31
world
14:31
is
14:32
a
14:32
economy
14:32
of
14:32
scale.
14:33
So
14:33
as
14:33
you
14:34
get
14:34
more
14:34
data,
14:34
you
14:34
get
14:35
more
14:35
tags
14:35
out
14:35
in
14:36
the
14:36
market,
14:36
you're
14:37
able
14:37
to
14:37
cut
14:37
the
14:38
cost
14:38
down
14:38
and
14:38
you're
14:39
able
14:39
to
14:39
go
14:39
more
14:39
granular.
14:40
So
14:41
right
14:41
now
14:41
with
14:41
where
14:42
we
14:42
are
14:42
with
14:42
the
14:42
technology,
14:43
we're
14:43
playing
14:43
very
14:44
well.
14:44
Palette
14:45
case,
14:45
crate
14:46
level,
14:47
item
14:47
level,
14:47
storyline
14:48
is
14:48
still
14:48
being
14:48
defined.
14:49
But
14:49
if
14:50
we
14:50
are
14:50
going
14:50
a
14:51
year
14:51
and
14:51
a
14:51
half,
14:51
two
14:52
years
14:52
out
14:53
with
14:53
the
14:53
direction
14:54
and
14:54
the
14:54
scale
14:54
and
14:54
the
14:55
adoption
14:55
rates
14:55
that
14:56
are
14:56
happening,
14:56
there's
14:57
no
14:57
reason
14:57
that
14:58
you
14:58
can't
14:58
go
14:59
to
14:59
the
14:59
item
14:59
level.
15:00
And
15:00
now
15:01
that
15:01
discussion
15:02
is
15:02
a
15:02
different
15:02
one
15:03
you
15:03
would
15:03
be
15:03
having
15:03
down
15:04
the
15:04
line
15:04
to
15:05
maybe
15:05
take
15:05
on
15:05
some
15:06
of
15:06
the
15:06
use
15:06
cases
15:06
that
15:06
RFID
15:07
is
15:07
in
15:07
today.
15:08
You're
15:08
basically
15:09
saying
15:09
that
15:09
it's
15:09
not,
15:09
you
15:10
know,
15:10
whether
15:10
you're
15:10
going
15:10
to
15:10
Use
15:10
BLE
15:11
or
15:11
rfid.
15:11
It's
15:12
not
15:12
an
15:12
either
15:12
or
15:12
decision.
15:13
That's
15:13
what
15:13
I'm
15:13
hearing
15:14
you
15:14
say
15:14
100%.
15:15
Right.
15:16
And
15:16
that,
15:16
you
15:17
know,
15:17
for
15:17
the
15:17
most
15:17
part
15:17
they're
15:18
complementary
15:18
systems
15:19
that
15:19
can
15:19
work
15:19
in
15:19
tandem
15:20
together.
15:20
That's
15:21
my
15:21
takeaway
15:21
from
15:21
what
15:22
you
15:22
just
15:22
said.
15:22
So,
15:23
so
15:23
that
15:23
brings
15:23
me
15:24
out
15:24
to
15:24
my
15:24
next
15:24
question,
15:24
which
15:25
is
15:25
like,
15:25
if
15:25
I'm
15:26
a
15:26
retail
15:26
executive
15:26
listening
15:27
to
15:27
this
15:27
podcast
15:28
right
15:28
now,
15:29
this
15:29
second,
15:30
how
15:30
would
15:30
you
15:31
recommend
15:31
I
15:31
approach
15:32
the
15:32
deployment
15:33
of
15:34
each
15:34
of
15:34
those
15:34
technologies
15:35
in
15:35
coordination
15:36
with
15:36
each
15:36
other
15:36
to
15:36
get
15:37
the
15:37
biggest
15:37
bang
15:37
for
15:37
the
15:38
buck
15:38
from
15:38
the
15:38
get
15:39
go?
15:40
So,
15:40
so
15:40
a
15:40
question
15:40
that
15:41
we
15:41
always
15:41
have
15:41
when
15:41
we're
15:42
in
15:42
an
15:42
evaluation
15:42
with
15:43
any
15:43
senior
15:44
executive
15:44
and
15:44
we're
15:44
going
15:45
through
15:45
the
15:46
technology
15:46
overview
15:47
is
15:47
one,
15:48
have
15:48
you
15:48
had
15:48
an
15:49
implementation
15:49
with
15:49
RFID
15:50
already?
15:51
Okay.
15:51
And
15:52
the
15:52
first
15:52
question
15:53
is,
15:53
if
15:54
you
15:54
had
15:55
an
15:55
evaluation
15:56
and
15:56
it
15:56
didn't
15:56
work
15:57
out,
15:57
what
15:58
was
15:58
the
15:58
reason?
15:59
Was
15:59
it
15:59
infrastructure?
16:00
Was
16:00
it
16:01
some
16:01
of
16:01
the
16:01
use
16:01
cases
16:01
that
16:02
are
16:02
brought
16:02
up
16:02
around
16:02
in
16:03
transit?
16:04
Those
16:04
are
16:04
areas
16:05
that
16:05
we
16:05
have
16:05
a
16:06
solution
16:06
today
16:07
that
16:07
because
16:07
of
16:08
cost
16:08
or
16:09
scale
16:11
we
16:11
can
16:11
work
16:11
around.
16:12
Then
16:13
the
16:13
second
16:13
portion
16:13
of
16:13
that
16:14
question
16:14
is
16:14
if
16:14
you've
16:15
had
16:15
an
16:15
RFID
16:15
implementation
16:16
to
16:16
some
16:17
degree,
16:18
what
16:18
is
16:18
the
16:18
use
16:18
case
16:19
that
16:19
you're
16:19
utilizing
16:20
today
16:20
and
16:20
where
16:20
are
16:20
the
16:20
limitations?
16:21
Typically
16:22
we'll
16:22
get
16:22
answers
16:23
like,
16:23
yeah,
16:23
we're
16:23
using
16:24
it
16:24
on
16:24
this
16:24
dock
16:24
door
16:25
and
16:25
this
16:26
receiving
16:26
dock.
16:27
We
16:27
want
16:27
to
16:27
do
16:28
more
16:28
but
16:28
the
16:28
cost
16:28
is
16:29
expensive.
16:29
So
16:30
we
16:30
can
16:30
then
16:30
work
16:31
with
16:31
them
16:31
and
16:31
see
16:32
what
16:32
are
16:32
the
16:32
hardware
16:33
that
16:33
they're
16:33
using
16:34
today.
16:34
Can
16:35
that
16:35
energize
16:35
a
16:35
willy
16:36
attack?
16:36
More
16:36
than
16:37
likely
16:37
it
16:37
can
16:38
because
16:38
we
16:38
can
16:38
energize
16:39
on
16:39
RF
16:40
on
16:40
sub
16:40
one
16:40
gig.
16:41
We
16:41
can
16:41
broadcast
16:42
on
16:42
2.4
16:43
gig.
16:43
So
16:44
you
16:44
know,
16:45
$50
16:46
beacon
16:46
that
16:47
they
16:47
put
16:47
up
16:47
there
16:48
can
16:48
read
16:48
the
16:48
tag
16:49
and
16:49
you're
16:49
getting
16:49
all
16:50
these
16:50
capabilities.
16:50
You
16:51
can
16:51
outfit
16:51
all
16:52
your
16:52
doctors
16:53
and
16:53
then
16:54
very
16:54
simply
16:54
then
16:54
you
16:55
can,
16:55
you
16:55
can,
16:56
you
16:56
can
16:56
get
16:56
all
16:56
the
16:56
capabilities
16:57
plus
16:57
sensing
16:58
built
16:58
in.
16:59
So
16:59
a
16:59
starting
17:00
point
17:00
is
17:00
kind
17:00
of
17:01
what
17:01
have
17:01
you
17:01
already
17:01
evaluated?
17:02
What
17:03
were
17:03
the
17:03
gating
17:03
factors?
17:05
And
17:05
if
17:05
you've
17:05
already
17:05
started
17:06
but
17:06
that
17:06
journey
17:06
hasn't
17:07
scaled,
17:07
is
17:08
there
17:08
a
17:08
way
17:08
that
17:08
we
17:08
can
17:08
coexist
17:09
and
17:09
work
17:10
with
17:10
your
17:10
investments
17:11
that
17:11
you've
17:11
already
17:11
made?
17:12
So
17:12
Amir,
17:13
I
17:13
mentioned
17:13
Walmart
17:13
at
17:13
the
17:14
outset.
17:14
You
17:14
know,
17:15
you
17:15
know,
17:15
and,
17:16
and
17:16
you
17:16
know,
17:16
they're
17:16
making
17:17
pushes
17:17
in
17:17
this
17:17
direction
17:18
and
17:18
you
17:18
know,
17:18
they've
17:19
been,
17:19
you
17:19
know,
17:19
very
17:19
public
17:20
in
17:20
saying
17:20
so.
17:20
But
17:21
I'm
17:21
curious,
17:21
like,
17:23
is
17:23
it,
17:24
are
17:24
you
17:24
seeing
17:24
what
17:25
we've
17:25
been
17:25
discussing
17:26
across
17:26
the
17:26
industry?
17:27
Is
17:27
it
17:27
industry
17:27
wide
17:28
momentum
17:28
or
17:28
are
17:29
we
17:29
seeing
17:29
it
17:29
just
17:29
happen
17:29
amongst
17:30
a
17:30
few
17:30
of
17:30
the
17:30
major
17:31
large
17:32
players.
17:32
Like
17:32
how
17:33
would
17:33
you
17:33
assess
17:33
that?
17:34
So,
17:35
great
17:35
question.
17:35
And
17:35
we
17:35
have
17:35
a
17:35
mixed
17:36
bag.
17:36
So,
17:36
so
17:37
we
17:37
have
17:37
the
17:37
enterprise
17:37
levels,
17:38
we
17:38
have
17:38
the
17:38
small
17:38
to
17:39
midsize
17:40
folks
17:40
coming
17:40
our
17:40
way
17:41
as
17:41
well.
17:41
Wasn't
17:42
the
17:42
case
17:42
years
17:42
ago.
17:43
So,
17:43
so
17:43
that,
17:44
that
17:44
storyline,
17:45
I
17:45
think
17:45
it
17:45
fits
17:45
across
17:46
the
17:46
ecosystem.
17:47
The,
17:48
the,
17:49
the
17:49
use
17:50
case
17:50
that
17:50
we're
17:50
really
17:50
seeing.
17:51
Retail,
17:52
anything
17:53
with
17:53
perishables,
17:54
grocers,
17:55
quick
17:55
service,
17:56
restaurants,
17:58
they
17:58
definitely
17:59
are
17:59
a
17:59
sweet
18:00
spot.
18:00
And
18:00
I
18:00
think
18:01
they've,
18:01
they've
18:01
over
18:02
the
18:02
years
18:02
evaluated
18:03
RFID
18:03
in
18:04
many
18:04
different
18:04
components.
18:05
So
18:05
they,
18:06
we
18:06
know
18:06
the
18:07
areas
18:07
that
18:07
they,
18:08
they've
18:08
had
18:08
limitations
18:09
where
18:09
we
18:09
can
18:09
come
18:10
in
18:10
and
18:10
really
18:10
help
18:10
them.
18:12
Logistics
18:13
also,
18:13
I,
18:14
I've,
18:14
I've
18:14
made
18:14
this
18:15
example
18:15
of
18:15
in
18:15
transit
18:16
quite
18:16
a
18:16
bit.
18:17
When
18:17
you
18:17
look
18:17
at
18:18
your
18:18
four
18:18
walls
18:19
and
18:19
these
18:19
roll
18:19
cages
18:20
that
18:20
move
18:20
their
18:20
assets
18:21
within
18:21
a
18:21
facility,
18:22
having
18:23
the
18:23
visibility
18:23
for
18:24
them
18:24
of
18:24
where
18:24
your
18:25
items
18:25
are
18:25
within
18:26
that
18:27
warehouse,
18:28
that
18:28
distribution
18:29
center,
18:29
and
18:29
then
18:29
as
18:30
it
18:30
goes
18:30
from
18:30
one
18:30
location
18:31
to
18:31
another,
18:31
it's
18:32
a
18:32
major
18:32
requirement
18:33
for
18:33
logistics.
18:34
Royal
18:34
Mail
18:35
is
18:35
a
18:35
very
18:35
good
18:35
example
18:36
of
18:36
that.
18:36
And
18:37
then
18:37
you
18:37
can
18:37
also
18:38
take
18:38
it
18:38
down
18:38
to
18:38
anybody
18:39
else
18:39
that
18:39
has
18:40
RPC
18:40
or
18:40
RTI
18:41
type
18:41
application
18:42
with
18:42
reusable
18:43
assets.
18:43
And
18:44
we've
18:44
also
18:44
seen
18:44
that
18:45
same
18:45
traction
18:45
in
18:45
automotive.
18:46
So
18:47
if
18:47
I
18:47
really
18:47
just
18:47
kind
18:47
of
18:48
summarize
18:48
it
18:48
again,
18:49
it's
18:49
anything
18:50
under
18:50
the
18:50
retail
18:50
arena
18:51
with
18:51
perishables,
18:52
food
18:53
grocers,
18:53
quick
18:53
service,
18:54
logistics,
18:55
automotive,
18:56
they're
18:56
all,
18:56
all
18:56
really
18:57
good
18:57
sweet
18:58
spots.
18:58
So,
18:59
so
18:59
you
18:59
are
18:59
seeing
19:00
across
19:00
the
19:00
industry
19:01
that's,
19:01
that's,
19:02
that's
19:02
the
19:02
big
19:02
takeaway
19:03
here
19:03
again
19:03
too.
19:03
So
19:03
a
19:04
lot
19:04
of
19:04
nuggets
19:04
so
19:04
far
19:04
in
19:05
this
19:05
podcast.
19:05
Thanks,
19:05
Amir.
19:06
The
19:06
thing
19:06
I
19:06
love
19:06
about
19:07
doing
19:07
this
19:07
show
19:07
too,
19:07
Amir,
19:08
is
19:08
like,
19:08
you
19:08
know,
19:08
sometimes
19:08
you,
19:09
you
19:09
have
19:09
the
19:09
best
19:09
laid
19:10
plans
19:10
of
19:10
mice
19:10
and
19:10
men
19:11
in
19:11
terms
19:11
of
19:11
how
19:11
you're
19:11
going
19:11
to
19:11
structure
19:12
it.
19:12
And
19:12
then
19:12
a
19:12
lot
19:13
of
19:13
what
19:13
you
19:13
plan
19:13
to
19:14
talk
19:14
about
19:14
has
19:14
already
19:14
been
19:14
touched
19:15
on
19:15
to
19:15
some
19:15
degree.
19:15
And
19:16
I
19:16
want
19:16
to
19:16
bring
19:16
up
19:16
another
19:16
topic
19:17
here
19:17
because
19:17
this
19:17
was
19:17
the
19:18
third
19:18
trend
19:18
that
19:18
I
19:18
wanted
19:19
to
19:19
get
19:19
your
19:19
opinion
19:19
on,
19:19
which
19:20
is,
19:20
you
19:20
know,
19:21
the
19:21
impact
19:21
of
19:22
AI
19:22
because
19:22
we
19:22
are
19:23
in
19:23
the
19:23
midst
19:23
of
19:23
a
19:23
massive
19:24
AI
19:24
revolution.
19:25
You've
19:26
got
19:26
ChatGPT,
19:27
agentic
19:27
AI
19:28
and
19:29
my
19:29
hypothesis,
19:30
which
19:30
I've
19:30
said
19:30
on
19:30
many,
19:31
many
19:31
shows
19:31
now,
19:32
is
19:32
that
19:32
the
19:32
AI
19:32
boom
19:33
is
19:33
going
19:33
to
19:33
be
19:33
the
19:33
lighter
19:34
fluid
19:35
on
19:35
the
19:35
charcoal
19:36
when
19:36
it
19:36
comes
19:36
to
19:36
the
19:36
need
19:37
for
19:37
supply
19:37
chain
19:38
visibility.
19:38
We
19:38
just
19:38
talked
19:39
about
19:39
real
19:40
time
19:40
item
19:40
data
19:41
visibility.
19:42
So
19:42
I
19:42
want
19:42
to
19:42
test
19:42
that
19:43
hypothesis
19:43
with
19:43
you
19:44
a
19:44
little
19:44
bit,
19:44
if
19:44
that's
19:44
okay.
19:45
And
19:45
so
19:45
my
19:46
question
19:46
now
19:46
is
19:47
how
19:47
does
19:48
generative
19:48
AI,
19:49
how
19:50
does
19:50
the
19:50
generative
19:50
AI
19:51
and
19:51
the
19:51
agentic
19:52
AI
19:52
revolution,
19:52
because
19:53
those
19:53
are
19:53
not
19:53
one
19:53
and
19:53
the
19:54
same
19:54
thing
19:55
intersect
19:55
with
19:55
the
19:56
physical
19:56
world
19:56
technologies
19:57
we've
19:57
been
19:57
discussing.
19:59
Are
19:59
they
20:00
separate
20:00
trends
20:01
or
20:01
do
20:02
they
20:02
feed
20:02
into
20:02
each
20:02
other
20:03
and
20:03
how
20:03
will
20:03
that
20:03
manifest
20:04
itself
20:04
here
20:05
in
20:05
the
20:05
years
20:05
ahead?
20:06
It's
20:06
a
20:07
great
20:07
question
20:07
and
20:07
I
20:08
think
20:08
still
20:08
some
20:08
of
20:09
this
20:09
we're
20:09
trying
20:09
to
20:09
uncover
20:10
today
20:10
in
20:10
our
20:11
day
20:11
to
20:11
day.
20:11
I
20:11
mean
20:12
I
20:12
run
20:12
so
20:12
many
20:13
simulations
20:13
still
20:13
with
20:14
chat,
20:14
GPT
20:14
and
20:15
others
20:15
and
20:16
the
20:16
data
20:16
is
20:16
not
20:16
100
20:17
factual
20:18
because
20:18
it's
20:18
pulling
20:19
from
20:19
sources
20:19
that
20:20
necessarily
20:21
maybe
20:22
they
20:22
weren't
20:22
credible.
20:22
It's
20:23
like
20:23
the
20:23
early
20:23
days
20:23
of
20:24
Wikipedia.
20:24
Right.
20:24
So
20:25
you,
20:25
you
20:25
go
20:25
in
20:25
there,
20:25
you
20:26
think
20:26
you're,
20:26
you're
20:27
picking
20:27
up
20:27
a
20:27
good
20:27
source
20:28
and
20:28
you're
20:28
not.
20:29
So
20:30
I
20:30
think
20:30
the
20:30
starting
20:30
point
20:31
here
20:31
with
20:31
any
20:31
kind
20:32
of
20:32
AI
20:32
agent
20:32
is
20:33
that
20:33
first
20:33
understanding
20:34
that
20:34
there
20:34
is
20:35
a
20:35
level
20:35
of
20:35
adoption
20:37
and
20:37
behind
20:38
that
20:38
adoption
20:38
is
20:39
a
20:39
level
20:39
of
20:40
maturity.
20:40
And
20:40
that
20:41
maturity
20:41
comes
20:41
with
20:42
time.
20:42
And,
20:42
and
20:43
as
20:43
these
20:43
AI
20:44
agents
20:44
start
20:44
to
20:45
ingest
20:45
more
20:45
data,
20:46
hopefully
20:47
the
20:47
credibility
20:48
comes,
20:48
comes
20:48
forth
20:49
in
20:49
a,
20:49
in
20:49
a
20:49
stronger
20:50
format.
20:50
So,
20:51
so
20:51
we're
20:51
in
20:51
a
20:51
pretty
20:52
technical
20:52
field,
20:53
but
20:53
if
20:53
I
20:53
make
20:54
examples
20:54
of
20:55
like
20:55
physicians
20:55
or,
20:56
or
20:57
on
20:57
the
20:58
legal
20:58
route,
20:58
if
20:58
you're
20:59
looking
20:59
up
20:59
laws
20:59
by
21:00
state,
21:01
there's
21:02
a
21:02
lot
21:02
of
21:02
things
21:02
that
21:02
don't
21:03
add
21:03
up.
21:03
I
21:03
was
21:03
even
21:04
looking
21:04
up
21:04
very
21:05
recently
21:05
things
21:05
about
21:06
my
21:06
car
21:06
and
21:07
I
21:08
knew
21:08
some
21:08
of
21:08
the
21:08
things
21:08
on
21:09
the
21:09
different
21:10
years
21:10
of
21:10
whether
21:10
you
21:11
were
21:11
in
21:11
sport
21:11
or
21:11
comfort
21:12
mode
21:12
didn't
21:13
line
21:13
up
21:13
to
21:13
what
21:14
was
21:14
what,
21:14
what
21:14
it
21:15
was
21:15
saying.
21:15
And
21:15
then
21:15
I,
21:15
I
21:16
asked
21:16
another
21:16
question
21:16
and
21:17
it,
21:17
it
21:17
kind
21:18
of
21:18
corrected
21:18
based
21:19
on
21:19
what
21:19
I
21:19
asked.
21:20
So
21:20
I
21:21
think
21:21
the
21:21
data
21:21
is
21:22
only
21:22
as
21:22
good
21:23
or
21:23
the
21:23
AI
21:23
is
21:24
only
21:24
as
21:24
good
21:24
as
21:24
the
21:24
data
21:25
that's
21:25
getting
21:25
ingested
21:26
in
21:26
and
21:27
then
21:27
the,
21:27
the
21:28
processes
21:28
that
21:29
are
21:29
flowing
21:29
in
21:29
the
21:29
background.
21:30
Now
21:30
if
21:30
you
21:31
then
21:31
compare
21:31
it
21:31
to
21:31
what,
21:32
where
21:32
we
21:32
are
21:32
and
21:33
couple
21:33
it
21:33
with
21:33
the
21:33
AI
21:34
work
21:34
that
21:34
we're
21:34
doing
21:35
and
21:35
we
21:35
have
21:35
our
21:35
own
21:36
AI
21:36
agent
21:37
also
21:37
in,
21:38
in
21:38
the
21:38
Wilia
21:38
platform.
21:39
The
21:40
reality
21:40
is
21:40
we're
21:41
only
21:41
as
21:41
good
21:41
as
21:42
the
21:42
data
21:42
that's
21:42
coming
21:42
in
21:43
and
21:43
the
21:43
more
21:44
data
21:44
that
21:44
comes
21:44
in,
21:45
the
21:45
better
21:45
that
21:45
we
21:46
get
21:46
predicting,
21:47
forecasting
21:48
and
21:48
giving
21:49
the
21:49
right
21:49
level
21:49
of
21:49
insights
21:50
to
21:50
our
21:50
customers.
21:51
So,
21:51
so
21:51
we're,
21:52
we're
21:52
at
21:52
that
21:52
inflection
21:53
point,
21:53
but
21:53
it's
21:53
still
21:53
extremely
21:54
early
21:54
stage.
21:56
Yeah.
21:56
And
21:56
you're
21:56
giving
21:57
credence
21:57
to
21:57
why
21:57
I'm
21:57
hearing
21:58
more
21:58
and
21:58
more
21:58
about
21:58
retailers
21:59
trying
21:59
to
21:59
create
21:59
their
21:59
own
22:00
LLMs
22:00
in
22:01
terms
22:01
of
22:01
managing
22:01
the
22:02
data
22:02
and
22:02
understanding
22:02
the
22:03
quality
22:03
of
22:03
it
22:03
too.
22:04
So
22:04
if
22:04
we
22:04
put
22:04
all
22:05
those,
22:05
all
22:05
those,
22:06
whatever
22:06
you
22:06
want
22:06
to
22:06
call
22:06
them,
22:07
Hallucinations
22:07
aside,
22:08
when,
22:09
when
22:09
you
22:09
combine
22:10
real
22:10
time
22:10
data
22:11
with
22:11
modern
22:11
AI
22:12
capabilities,
22:13
what
22:13
becomes
22:14
possible
22:14
in
22:14
supply
22:15
chain
22:15
that
22:15
wasn't
22:16
possible
22:16
before?
22:17
You
22:17
know,
22:17
if
22:17
we
22:18
look
22:18
past
22:18
those
22:18
issues,
22:19
well,
22:20
I
22:20
mean,
22:20
it's
22:21
like
22:21
you're
22:21
getting
22:21
X
22:21
ray
22:22
vision.
22:22
You're,
22:22
you're
22:22
going
22:23
to
22:23
be
22:23
able
22:23
to
22:23
see
22:23
everything
22:24
from,
22:25
really
22:25
from,
22:26
you
22:26
know,
22:26
you
22:27
make
22:27
examples
22:27
from
22:28
farm
22:28
to
22:28
fork.
22:29
You
22:29
will
22:30
know
22:30
if
22:30
your
22:31
salmon
22:31
tastes
22:31
bitter.
22:32
Why
22:32
does
22:32
it
22:33
taste
22:33
bitter?
22:35
Was
22:35
it
22:36
cooking
22:36
on
22:36
the
22:36
right
22:37
side
22:37
of
22:37
a
22:37
trailer
22:37
that
22:38
was
22:38
getting
22:38
beamed
22:38
by
22:38
the
22:39
sun
22:39
while
22:39
it
22:39
was
22:39
going
22:39
through
22:40
the
22:40
desert
22:41
to
22:41
the
22:41
restaurant?
22:42
Was
22:42
it
22:43
because
22:43
the
22:43
restaurant
22:44
didn't
22:44
freeze
22:45
it
22:45
the
22:45
right
22:45
way
22:46
or
22:46
they
22:46
refroze
22:46
it
22:47
three
22:47
or
22:47
four
22:47
times
22:48
and
22:49
took
22:49
it
22:50
out
22:50
and
22:50
then
22:50
cooked
22:50
it?
22:51
So
22:52
you're
22:52
going
22:53
to
22:53
get
22:53
levels
22:53
of
22:53
visibility
22:54
that
22:54
you
22:54
never
22:55
had.
22:55
And
22:56
I
22:56
think
22:56
right
22:56
now
22:57
the
22:57
challenge
22:57
we
22:57
have
22:57
with
22:58
supply
22:58
chains
22:58
today
22:59
is
22:59
that
22:59
you
22:59
have
22:59
a
22:59
lot
22:59
of
23:00
brownout
23:00
spots.
23:01
So
23:01
you
23:01
get
23:01
a
23:01
lot
23:02
of
23:02
good
23:02
visibility.
23:03
When
23:03
you're
23:03
at
23:03
a
23:03
food
23:04
processor,
23:04
you
23:05
lose
23:05
visibility
23:06
until
23:06
it
23:07
gets
23:07
to
23:07
the
23:07
distribution
23:08
center.
23:08
And
23:09
maybe
23:09
you
23:09
get
23:09
a
23:09
little
23:09
visibility
23:10
as
23:10
it
23:10
leaves
23:11
that
23:11
dc,
23:11
it
23:11
ends
23:12
up
23:12
at
23:12
a
23:12
store,
23:13
but
23:13
then
23:13
you
23:13
lose
23:14
visibility
23:14
again
23:15
for
23:15
two,
23:15
three
23:16
days,
23:16
whatever
23:17
it
23:17
is,
23:18
until
23:18
it's
23:19
on
23:19
your
23:19
plate.
23:20
So
23:21
you're
23:22
going
23:22
to
23:22
get
23:23
much
23:23
more
23:23
granular
23:24
data,
23:24
much
23:24
more
23:25
visibility.
23:25
And
23:26
I
23:26
think
23:26
this
23:26
is
23:26
going
23:27
to
23:27
translate
23:27
one
23:27
to
23:28
the
23:28
consumer
23:28
side
23:29
much
23:29
better
23:29
on
23:29
assurance
23:30
and
23:31
validity
23:31
of
23:31
what
23:31
you're,
23:32
what
23:32
you're
23:33
ingesting,
23:33
buying,
23:34
whatever
23:34
the
23:34
use
23:35
case
23:35
is.
23:35
But
23:36
also
23:36
it,
23:36
it
23:36
creates
23:37
a
23:37
value
23:37
add
23:37
for
23:37
the
23:38
brands
23:38
that
23:38
are
23:39
working
23:39
together.
23:39
If
23:40
you're
23:40
a
23:40
food
23:40
processor
23:41
and
23:41
you're
23:41
handing
23:41
it
23:42
over
23:42
to
23:42
somebody
23:43
else,
23:43
like
23:43
a
23:43
D.C.
23:44
that's
23:44
going
23:44
to
23:44
process
23:45
and
23:45
then
23:45
end
23:45
up
23:46
selling
23:46
it,
23:46
or
23:47
they're
23:47
selling
23:48
it
23:48
to,
23:48
you're
23:48
going
23:49
to
23:49
want
23:49
to
23:49
understand
23:50
that
23:50
entire
23:50
process
23:51
and
23:51
the
23:51
handoff.
23:52
You
23:52
don't
23:52
want
23:52
fingers
23:53
pointed
23:53
at
23:53
each
23:53
other.
23:54
Why
23:54
did
23:54
it
23:54
go
23:54
bad?
23:55
Did
23:55
it
23:55
ship?
23:55
Did
23:55
it
23:56
not
23:56
ship?
23:57
So
23:57
the,
23:57
the
23:58
blinders
23:58
definitely
23:58
are
23:59
going
23:59
to
23:59
be
23:59
removed
23:59
with
24:00
this
24:00
level
24:00
of
24:00
visibility.
24:02
So
24:02
there's
24:02
two
24:02
things
24:02
I
24:03
took
24:03
away
24:03
from
24:03
that.
24:03
So
24:03
less
24:04
brown
24:04
spots,
24:04
which
24:04
is
24:05
a
24:05
term
24:05
I've
24:05
not
24:05
heard
24:05
before.
24:05
I
24:06
like
24:06
that.
24:06
That's
24:06
a
24:06
good
24:06
term
24:07
to
24:07
use.
24:07
There's
24:07
less
24:07
brown
24:08
spots
24:08
in
24:08
the
24:08
age
24:08
of
24:09
AI
24:09
and
24:09
then
24:09
no
24:10
bitter
24:10
salmon.
24:10
I
24:11
think
24:11
we
24:11
can
24:11
all
24:11
take
24:11
that
24:12
to
24:12
the
24:12
bank
24:12
too.
24:12
No
24:12
bitter
24:13
salmon,
24:13
which
24:13
sounds
24:14
horrible
24:14
when
24:14
you
24:14
think
24:14
about
24:15
it.
24:15
So.
24:16
All
24:16
right,
24:16
well,
24:16
I
24:17
want
24:17
to
24:17
talk
24:17
agentic
24:18
too
24:18
though,
24:18
because
24:18
agentic
24:19
AI,
24:19
you
24:19
know,
24:19
we're
24:20
hearing
24:20
about
24:20
AI
24:20
agents
24:21
for
24:21
supply
24:21
chains,
24:22
but
24:22
in,
24:23
in
24:23
your
24:23
Mind,
24:23
what
24:23
does
24:24
that
24:24
actually
24:24
mean?
24:24
Like
24:25
are
24:25
we
24:25
talking
24:25
about
24:25
autonomous
24:26
decision
24:27
making
24:27
systems?
24:28
And
24:28
if
24:29
so,
24:29
where
24:30
is
24:30
that
24:30
going
24:30
to
24:30
happen
24:31
first?
24:33
It's
24:33
going
24:33
to
24:33
come
24:34
with
24:34
time.
24:34
I
24:34
don't
24:35
think
24:35
it's
24:35
going
24:35
to
24:35
happen,
24:35
you
24:36
know,
24:36
first,
24:36
also,
24:37
even
24:37
though
24:38
the
24:38
term
24:38
is
24:38
out
24:38
there,
24:39
it's
24:39
very
24:39
similar
24:39
to
24:39
the
24:40
IoT
24:40
discussion
24:40
that
24:41
we
24:41
had
24:41
and
24:41
we
24:41
kicked
24:41
the
24:41
kick
24:42
this
24:42
conversation
24:43
around.
24:44
Yeah,
24:44
is
24:44
that
24:45
AI
24:46
exists
24:46
but
24:47
the
24:47
data
24:47
points
24:48
to
24:48
really
24:48
automate
24:49
something
24:49
and
24:49
make
24:50
predictive
24:50
level
24:52
analysis,
24:52
especially
24:53
in
24:53
the
24:53
world
24:53
that
24:53
we
24:54
live
24:54
in.
24:54
For
24:55
example,
24:55
if
24:55
you
24:55
want
24:55
to
24:56
make
24:56
predictions
24:56
of
24:57
when
24:57
you're
24:57
going
24:57
to
24:57
have
24:57
a
24:57
stock
24:58
out
24:58
or
24:58
when
24:59
you
24:59
need
24:59
to
24:59
reorder
25:00
something,
25:01
you
25:01
can
25:01
only
25:02
make
25:02
accurate
25:02
predictions
25:03
around
25:03
that.
25:03
If
25:04
you
25:04
have
25:04
a
25:04
level
25:04
of
25:05
data
25:05
coming
25:05
in
25:05
that
25:06
you
25:06
can
25:06
process
25:06
the
25:07
right
25:07
way
25:07
and
25:07
then
25:07
make
25:07
those
25:08
assumptions
25:08
around,
25:09
otherwise
25:09
you're
25:09
making
25:10
assumptions
25:10
off
25:10
of
25:11
data
25:11
that
25:11
that
25:11
is
25:12
just,
25:13
it's
25:13
a
25:13
hope
25:13
and
25:13
a
25:14
wish.
25:14
Is
25:15
that
25:15
vision
25:15
then
25:15
of
25:16
a
25:16
fully
25:16
autonomous
25:17
supply
25:17
chain,
25:18
is
25:18
that
25:18
ever
25:18
going
25:19
to
25:19
happen
25:19
or
25:19
is
25:20
it
25:20
always
25:20
going
25:20
to
25:20
be
25:21
out
25:21
in
25:21
the
25:21
distant
25:21
future?
25:22
Like
25:22
what,
25:22
like
25:23
what's
25:23
your
25:23
take?
25:23
Like
25:24
is
25:24
there
25:24
a
25:24
time
25:24
horizon
25:25
on
25:25
this?
25:25
How
25:25
would
25:26
you,
25:26
how
25:26
would
25:26
you
25:26
summarize
25:27
that
25:27
for
25:27
our
25:27
listeners?
25:28
I
25:28
think
25:29
it's
25:29
going
25:29
to
25:29
come
25:29
with
25:29
time,
25:30
but
25:30
it's
25:31
consistently
25:32
be
25:32
innovating,
25:33
consistently
25:34
getting
25:34
better
25:35
discussions
25:36
that
25:36
we
25:36
have
25:36
right
25:37
now
25:37
with
25:37
customers
25:38
is
25:38
okay,
25:38
can
25:38
you
25:39
predict,
25:39
for
25:39
example,
25:40
where
25:40
my
25:41
items
25:41
are,
25:41
when
25:42
I'm
25:42
going
25:42
to
25:42
need
25:43
this
25:43
roll
25:44
cage
25:44
back
25:44
at
25:44
this
25:44
facility?
25:47
When
25:47
do
25:47
you
25:47
anticipate
25:48
my
25:48
roll
25:48
cages
25:49
are
25:49
going
25:49
to
25:49
be
25:50
lower
25:50
level
25:51
of,
25:51
you
25:52
know,
25:52
less
25:52
than
25:52
X
25:53
amount
25:53
by
25:53
this
25:54
date?
25:54
We
25:55
can
25:55
give
25:55
analysis
25:56
on
25:56
that.
25:56
But
25:56
now
25:57
the,
25:57
the
25:57
point
25:57
here
25:58
is
25:58
how,
25:58
how
25:58
do
25:59
you
25:59
make
25:59
it
26:00
so
26:00
predictive
26:00
that
26:01
you
26:01
can
26:01
ask
26:01
it
26:02
the
26:02
same
26:02
question
26:03
3
26:03
months,
26:03
6
26:04
months,
26:04
12
26:04
months,
26:05
18
26:05
months
26:05
from
26:06
now
26:06
and
26:06
get
26:06
that
26:07
level
26:07
of
26:07
visibility?
26:08
So
26:08
it's
26:08
not
26:09
just
26:09
a
26:10
scenario
26:10
that
26:10
you're
26:10
going
26:11
to
26:11
run
26:11
next
26:11
week.
26:12
And
26:12
the
26:12
only
26:12
way
26:13
you
26:13
can
26:13
get
26:13
that
26:14
level
26:14
of
26:14
granularity
26:15
is,
26:16
is
26:16
that
26:16
you
26:16
have
26:17
enough
26:17
inputs
26:18
and
26:18
enough
26:19
trends
26:19
to
26:20
accurately
26:20
give
26:20
you
26:21
that
26:21
level
26:21
of
26:21
visibility
26:22
behind
26:22
it.
26:23
So
26:23
to
26:24
summarize
26:24
kind
26:24
of
26:24
your
26:25
question
26:25
here,
26:26
I
26:26
think
26:26
we're
26:27
at
26:27
the
26:27
surface
26:27
level,
26:28
it
26:28
exists,
26:29
but
26:29
it's
26:30
only
26:30
as
26:30
good
26:30
as
26:31
number
26:31
of
26:32
data
26:32
points
26:32
that
26:32
are
26:32
coming
26:33
into
26:33
it.
26:33
And
26:34
that
26:34
only
26:34
comes
26:34
with
26:34
time.
26:36
So
26:36
Amir,
26:36
is
26:37
the
26:37
most
26:37
important
26:37
thing
26:37
then
26:37
to
26:38
use
26:38
tech
26:38
to
26:38
get
26:38
the
26:38
basics
26:39
right?
26:39
Is
26:40
that
26:40
still
26:40
fundamentally
26:41
the
26:41
most
26:41
important
26:42
thing
26:42
that
26:42
you
26:42
would
26:42
tell
26:42
retailers?
26:43
Listening,
26:43
you
26:44
still
26:44
gotta
26:44
do
26:45
that.
26:45
So
26:45
that
26:45
to
26:45
your
26:46
point,
26:46
you
26:46
get
26:46
the
26:47
basics
26:47
right,
26:47
you
26:48
know
26:48
what's
26:48
Happening,
26:49
you
26:49
know,
26:49
every
26:50
three
26:50
months,
26:50
every
26:50
six
26:51
months,
26:51
every
26:51
nine
26:52
months,
26:53
routinely.
26:54
So
26:54
that
26:54
you
26:54
can
26:54
then
26:55
take
26:55
it
26:55
to
26:55
the
26:56
next
26:56
level.
26:56
Like
26:57
that
26:57
you've
26:57
got
26:57
to
26:57
get
26:58
right
26:58
first.
26:58
Correct?
26:59
Yeah.
27:00
First
27:00
is,
27:00
it's
27:01
like
27:01
anything
27:02
is
27:02
that
27:02
you
27:02
want
27:02
to
27:03
approach
27:03
an
27:03
implementation
27:04
that's
27:04
something
27:05
that
27:05
you're
27:05
not
27:05
a
27:05
bottleneck
27:06
in
27:06
their
27:06
process.
27:07
So
27:07
we
27:07
want
27:07
to
27:08
create
27:08
a
27:08
ecosystem
27:09
that
27:10
you
27:10
can
27:10
and
27:10
which
27:10
already
27:11
exists.
27:11
So
27:11
we're
27:11
not
27:12
reinventing
27:12
the
27:13
wheel
27:13
right
27:13
now.
27:14
Be
27:15
a
27:15
part
27:15
of
27:15
their
27:15
supply
27:16
chain
27:16
with
27:16
a
27:16
solution
27:17
that
27:17
can
27:17
go
27:18
on
27:18
all
27:18
their
27:18
products
27:19
to
27:19
start
27:20
the
27:20
data
27:20
ingestion
27:21
journey.
27:22
What's
27:22
been
27:22
missing
27:23
historically,
27:24
you
27:24
know,
27:24
with
27:24
barcodes,
27:25
rfid,
27:25
there
27:26
hasn't
27:26
been
27:26
a
27:26
central
27:26
location
27:27
for
27:27
all
27:28
this
27:28
data.
27:29
You
27:29
have
27:29
processes,
27:30
very
27:30
good
27:30
applicators
27:31
that
27:32
could
27:32
put
27:32
tags
27:32
on
27:33
items
27:33
on
27:33
fast
27:34
conveyor
27:34
belts,
27:35
make
27:36
it
27:36
part
27:36
of
27:36
their
27:36
supply
27:37
chain
27:37
today.
27:38
But
27:38
there's
27:38
limitations
27:39
to
27:39
the
27:40
way
27:40
that
27:40
the
27:40
data
27:40
is
27:40
ingested
27:41
at
27:42
the
27:42
end
27:42
of
27:42
the
27:42
day.
27:43
And
27:44
where
27:44
we're
27:44
going
27:44
right
27:45
now
27:45
is
27:45
we
27:45
want
27:46
to
27:46
be
27:46
that
27:46
umbrella
27:46
for
27:47
all
27:47
the
27:47
data.
27:47
So
27:48
once
27:48
that
27:48
data
27:49
starts
27:49
to
27:49
come
27:49
forward,
27:50
the
27:50
tagging
27:51
is
27:51
the
27:51
first
27:51
part.
27:52
The
27:52
second
27:52
part
27:52
is
27:53
the
27:53
data.
27:53
The
27:54
third
27:54
is
27:54
all
27:55
of
27:55
this
27:55
great
27:56
data
27:57
mining
27:57
that
27:57
we're
27:57
going
27:57
to
27:58
be
27:58
utilizing
27:58
AI
27:59
around
27:59
so
28:00
you
28:00
can
28:00
have
28:00
automated
28:01
decision
28:01
making.
28:02
All
28:03
right,
28:03
so
28:03
I
28:03
want
28:03
to
28:03
shift
28:03
gears
28:04
now
28:04
a
28:04
little
28:04
bit.
28:04
So
28:04
we've
28:05
tackled
28:05
three
28:05
trends.
28:05
So
28:05
I
28:05
want
28:06
to
28:06
get
28:06
into
28:06
a
28:06
four
28:06
trend,
28:06
four
28:07
trend
28:07
which,
28:07
which
28:08
I'm
28:08
surprised
28:08
hasn't
28:08
come
28:09
up
28:09
yet.
28:09
It
28:09
probably
28:09
has
28:10
tangentially
28:10
in
28:11
some
28:11
of
28:11
the
28:11
things
28:11
you've
28:11
talked
28:12
about,
28:12
particularly
28:12
around
28:12
your
28:13
bitter
28:13
salmon
28:14
example
28:14
that
28:14
you
28:14
gave
28:15
us
28:15
earlier.
28:16
But
28:16
that's
28:16
the,
28:17
the
28:17
impact
28:17
of
28:17
grocery
28:18
e
28:18
commerce.
28:19
You
28:19
know,
28:19
we've
28:19
seen
28:20
a
28:20
resurgence.
28:20
It's
28:20
in
28:21
grocery
28:21
e
28:21
commerce,
28:21
particularly
28:22
of
28:22
late.
28:22
I
28:22
think
28:22
in
28:23
the
28:23
last
28:23
month
28:23
we're
28:24
up
28:24
near
28:24
almost
28:24
19%
28:25
E
28:25
commerce
28:26
penetration
28:26
in
28:26
the
28:27
US
28:28
and
28:29
so
28:29
my,
28:29
my
28:30
hypothesis
28:30
is
28:30
that
28:31
that's
28:31
having
28:31
a
28:32
massive
28:32
forcing
28:33
function
28:33
on
28:34
all
28:34
the
28:34
different,
28:34
you
28:35
know,
28:35
technologies
28:36
and
28:36
the
28:36
intersections
28:37
of
28:37
the
28:37
technologies
28:37
we've
28:38
discussed
28:38
today.
28:39
So
28:39
I'm
28:39
curious,
28:40
how
28:40
does,
28:40
how
28:41
does
28:41
grocery
28:41
e
28:42
commerce
28:42
change
28:43
the
28:43
requirements
28:43
for
28:44
supply
28:44
chain
28:44
visibility
28:45
and
28:45
tracking
28:46
compared
28:47
to
28:47
general
28:47
merchandise?
28:48
You
28:48
know,
28:48
is
28:49
it
28:49
harder?
28:49
If
28:50
so,
28:50
what
28:50
makes
28:50
it
28:51
harder?
28:51
How
28:51
do
28:51
you
28:51
think
28:52
about
28:52
that?
28:53
Very
28:54
challenging.
28:54
I
28:54
think
28:55
that
28:55
one
28:55
is
28:55
more
28:55
challenging
28:56
the
28:56
traditional
28:57
E
28:57
commerce
28:58
and
28:58
the
28:58
reason
28:58
why
28:58
is
28:59
you
28:59
have
28:59
perishables
29:00
tied
29:00
to
29:00
it.
29:00
So
29:01
you
29:01
have
29:01
a
29:01
timer
29:02
and
29:02
if
29:02
your
29:02
timer
29:03
is
29:03
not
29:03
met,
29:04
you
29:04
have
29:05
spoilage,
29:05
you
29:06
have
29:06
loss
29:06
of
29:06
items,
29:06
and
29:07
those
29:07
are
29:07
all
29:07
dollars
29:08
that
29:08
are
29:08
sunk.
29:09
So
29:10
this
29:11
requirement
29:12
around
29:12
this
29:12
type
29:13
of
29:13
e
29:13
Commerce
29:13
is,
29:14
is
29:14
more
29:14
urgent.
29:15
I
29:15
think
29:15
it's
29:16
not
29:16
only
29:16
urgent
29:17
at
29:17
source,
29:17
it's
29:18
urgent
29:18
to
29:19
get
29:19
the
29:19
right
29:19
visibility
29:20
throughout
29:20
the
29:20
process
29:21
because
29:21
you
29:22
might
29:22
do
29:22
everything
29:22
right
29:23
and
29:23
something
29:24
on
29:24
the
29:25
logistics
29:25
side
29:25
or
29:26
the
29:26
3
29:26
PL
29:26
side
29:27
could
29:27
go
29:27
wrong
29:28
and
29:28
then
29:28
your
29:28
item
29:29
is
29:29
having
29:29
an
29:30
issue
29:30
when
29:30
it's
29:30
delivered.
29:31
And
29:31
we've
29:31
all
29:31
encountered
29:32
this,
29:32
we've
29:32
tried,
29:32
you
29:33
know,
29:33
all,
29:33
all
29:33
kind
29:34
of
29:34
online
29:34
deliveries,
29:35
different
29:35
things
29:35
and
29:36
whatever
29:36
you
29:36
order
29:37
went
29:37
through
29:37
the
29:38
right
29:38
process,
29:38
but
29:38
when
29:39
it
29:39
did
29:39
arrive,
29:40
it
29:40
was
29:40
spoiled,
29:41
it
29:41
was
29:41
broken,
29:41
it
29:42
was
29:42
upside
29:42
down.
29:42
There's
29:43
so
29:43
many
29:43
different
29:43
variables
29:44
behind
29:44
it.
29:45
This
29:46
one
29:46
we
29:46
see
29:46
a
29:46
major
29:47
opportunity
29:47
around
29:48
because
29:48
of
29:48
the
29:49
time
29:49
sensitivity
29:49
and
29:50
the
29:50
perishable
29:50
aspect
29:51
aspects
29:51
to
29:51
it.
29:51
The
29:52
perishable
29:52
aspects
29:52
of
29:53
it.
29:53
Yes.
29:53
I
29:53
gotta
29:53
imagine
29:54
that
29:54
is
29:54
a
29:54
huge
29:54
impact
29:54
on
29:55
profitability,
29:55
which
29:56
is
29:56
probably
29:56
why
29:57
this
29:57
has
29:57
been
29:57
a
29:57
focus
29:57
for
29:58
a
29:58
lot
29:58
of
29:58
the
29:58
retailers
29:58
that
29:58
you're
29:59
talking
29:59
to.
29:59
Yeah,
30:00
absolutely.
30:00
Yeah.
30:01
We,
30:01
we've
30:01
ran
30:01
so
30:02
many
30:02
different
30:02
analysis
30:03
behind
30:03
it
30:03
and
30:04
you
30:04
know,
30:04
certain
30:05
numbers,
30:05
even
30:05
a
30:06
ballpark,
30:06
if
30:06
you
30:06
have
30:06
a
30:08
pallet
30:08
or
30:08
item
30:09
sitting
30:09
out
30:09
for
30:10
even,
30:10
you
30:10
know,
30:10
more
30:11
than
30:11
15
30:11
minutes
30:12
at
30:12
a
30:12
certain
30:12
temperature,
30:13
it
30:13
goes
30:13
bad.
30:14
And
30:14
having
30:15
that
30:15
level
30:15
of
30:15
visibility
30:16
to
30:16
create
30:16
event
30:17
triggers
30:17
and
30:17
predict
30:18
events
30:18
that
30:18
it's
30:19
going
30:19
to
30:19
go
30:19
bad
30:20
in
30:20
five
30:20
minutes,
30:21
you
30:21
need
30:21
to
30:21
move
30:22
it
30:22
into
30:22
a
30:23
storage
30:24
and
30:24
get
30:24
it
30:24
to
30:25
the
30:25
right
30:25
temperature
30:25
or
30:26
you're
30:26
going
30:26
to
30:26
have
30:26
an
30:26
issue.
30:27
Those
30:27
are
30:27
the
30:27
transformational
30:28
changes
30:29
that
30:29
you
30:29
would
30:29
be
30:29
making
30:30
with
30:30
that
30:30
level
30:30
of
30:30
visibility.
30:32
Yeah,
30:32
and
30:32
that's
30:32
something
30:32
I
30:32
want
30:33
to
30:33
talk
30:33
to
30:33
you
30:33
about
30:33
in
30:33
a
30:33
bit
30:33
with
30:33
trend
30:34
number
30:34
five
30:34
too.
30:35
But,
30:35
but
30:36
the
30:36
other
30:36
thing,
30:36
the
30:37
other
30:37
thing
30:37
that
30:37
is
30:37
impacting
30:38
e
30:38
grocery,
30:38
which
30:39
you
30:39
touched
30:39
on
30:39
a
30:39
little
30:39
bit
30:39
in
30:40
your
30:40
previous
30:40
answer
30:40
too,
30:41
is
30:41
that,
30:41
you
30:41
know,
30:42
the
30:42
idea
30:42
that,
30:42
you
30:43
know,
30:43
you're
30:43
trying
30:43
to
30:44
fulfill
30:44
these
30:44
orders
30:44
from
30:45
so
30:45
many
30:45
different
30:45
vehicles
30:46
or
30:46
literally
30:47
so
30:47
many
30:47
different
30:47
vehicles,
30:48
there's
30:48
so
30:48
many
30:48
different
30:48
ways.
30:49
You've
30:49
got
30:49
micro
30:49
fulfill
30:50
centers,
30:50
you've
30:51
got
30:51
large
30:51
fulfillment
30:51
centers,
30:52
you've
30:52
got
30:52
instacart
30:53
and
30:53
doordash
30:54
pickers
30:54
coming
30:54
into
30:54
the
30:55
store.
30:55
How
30:56
do
30:56
the,
30:56
how
30:56
do
30:57
the
30:57
different
30:57
fulfillment
30:58
models,
30:58
you
30:59
know,
30:59
drive
30:59
the
30:59
need
31:00
for
31:00
real
31:00
time
31:00
visibility?
31:01
Is
31:01
there
31:01
any,
31:01
is
31:01
there
31:02
any
31:02
nuances
31:03
as
31:03
you
31:04
approach
31:04
that
31:05
question,
31:05
depending
31:05
on
31:06
what
31:06
type
31:06
of
31:06
model
31:06
you're
31:07
deploying
31:07
as
31:07
a
31:08
retailer
31:08
or
31:08
a
31:08
grocer?
31:09
Yeah,
31:10
I
31:11
think
31:11
starting
31:12
always,
31:12
and
31:12
this
31:12
is
31:12
what
31:13
we're
31:13
trying
31:13
to
31:13
do
31:13
as
31:14
an
31:14
organization,
31:14
is
31:15
that
31:15
you
31:15
start
31:16
with
31:16
a,
31:16
with
31:17
a
31:17
use
31:17
case
31:17
that
31:18
has
31:18
control
31:19
over
31:19
their
31:19
supply
31:20
chain
31:20
and
31:21
they
31:21
own
31:22
their
31:22
fleets,
31:23
they
31:23
own
31:23
their
31:23
facilities.
31:24
So
31:25
when
31:25
you
31:25
go
31:25
through
31:25
a
31:25
process
31:26
like
31:26
tagging
31:27
and
31:27
getting
31:27
visibility,
31:28
you're
31:28
dealing
31:28
with
31:28
one
31:29
source
31:29
and
31:30
you're
31:30
getting
31:30
the
31:30
model
31:31
completely
31:31
perfected.
31:32
Now
31:33
many
31:33
of
31:33
these
31:33
organizations,
31:34
they
31:34
might
31:35
control
31:35
a
31:35
certain
31:36
percentage
31:36
and
31:36
it's
31:37
a
31:37
majority
31:37
percentage
31:38
of
31:38
that
31:38
supply
31:38
chain.
31:39
But
31:39
then
31:39
there's
31:40
upstream
31:40
suppliers
31:41
that
31:41
they
31:41
work
31:41
with
31:42
and
31:43
that's
31:43
a
31:43
very
31:43
good
31:44
inroad
31:44
then
31:44
to
31:45
work
31:45
upstream.
31:46
And
31:46
then
31:46
you
31:46
could
31:46
work
31:46
with
31:47
the
31:47
packaging
31:47
company,
31:48
with
31:48
the
31:48
food
31:48
processor
31:50
and
31:50
maybe
31:50
do
31:51
25,
31:51
30%
31:52
of
31:52
the
31:52
lift
31:52
with
31:53
them.
31:54
But
31:54
then
31:54
the
31:55
remainder
31:55
of
31:55
it
31:55
stays
31:56
with
31:56
the,
31:56
with
31:57
the
31:57
organization
31:57
that
31:58
you
31:58
started
31:58
the
31:58
project
31:58
with.
31:59
So
31:59
you
31:59
have
31:59
now
32:00
full
32:00
visibility
32:00
through
32:01
the
32:01
supply
32:01
chain
32:02
and
32:02
then
32:02
equally
32:03
you
32:03
can
32:03
go
32:03
back
32:03
up
32:04
to
32:04
the,
32:05
that
32:05
food
32:05
processor
32:06
or
32:06
that
32:07
packaging
32:07
company
32:08
and
32:08
you
32:09
can
32:09
work
32:09
with
32:09
the
32:09
other
32:09
partners
32:10
that
32:10
they
32:10
have
32:10
downstream.
32:11
So
32:12
it
32:12
might
32:12
be
32:12
flipped.
32:13
In
32:13
that
32:13
case
32:14
you
32:14
have
32:14
the
32:14
minority
32:15
covered
32:15
with
32:15
what
32:16
you
32:16
did
32:16
upstream,
32:17
but
32:17
then
32:17
you
32:17
can
32:17
work
32:17
downstream
32:18
with
32:18
what
32:18
with
32:19
everybody
32:19
that
32:19
they
32:19
work
32:19
with
32:20
and
32:20
you
32:20
have
32:20
four
32:20
or
32:21
five
32:21
new
32:21
customers.
32:22
So
32:22
I
32:22
think
32:23
it
32:23
works
32:23
in
32:24
both
32:24
ways.
32:24
But
32:24
a
32:24
starting
32:25
point
32:25
always
32:25
through
32:26
this
32:26
process
32:26
and
32:27
definitely
32:27
through
32:27
the
32:27
adoption
32:28
is
32:29
to
32:29
work
32:29
with
32:29
somebody
32:30
that
32:30
has
32:31
more
32:31
control
32:31
of
32:31
their
32:32
supply
32:32
chain
32:33
to
32:33
understand
32:34
what
32:34
are
32:34
the
32:34
issues
32:35
that
32:35
they're
32:35
facing,
32:35
what
32:35
are
32:36
the
32:36
optimal
32:36
ways
32:36
for
32:37
us
32:37
to
32:37
implement
32:37
the
32:37
technology
32:38
and
32:39
then
32:39
take
32:39
the
32:39
cookie
32:40
cutter
32:40
model
32:40
and
32:41
reference
32:41
sell
32:41
it
32:41
to
32:42
others.
32:43
That's
32:43
really
32:43
interesting
32:43
too
32:44
and
32:44
goes
32:44
to
32:44
something
32:44
we've
32:44
espoused
32:45
on
32:45
our
32:45
show
32:45
for
32:45
a
32:46
long
32:46
time,
32:46
that
32:46
the
32:47
groceries
32:47
are
32:47
going
32:47
to
32:47
have
32:47
to
32:47
start
32:48
taking
32:48
more
32:48
control
32:48
of
32:48
their
32:49
supply
32:49
chain
32:49
to
32:49
do
32:49
this
32:50
effectively.
32:50
So
32:51
does
32:51
that
32:51
even
32:51
extend
32:52
into
32:52
like
32:52
the
32:52
doordash
32:53
and
32:53
instacart
32:54
relationship
32:55
too?
32:55
Like,
32:55
you
32:55
know
32:55
that
32:56
you
32:56
want
32:56
to
32:57
get,
32:57
you
32:57
want
32:57
to
32:57
get
32:57
to
32:57
a
32:58
point
32:58
where,
32:59
where
33:00
you
33:00
have
33:00
visible.
33:00
I
33:01
would
33:01
think
33:01
I
33:01
don't
33:01
even
33:01
want
33:02
visibility
33:02
in
33:02
terms
33:02
of
33:03
how
33:03
long
33:03
my
33:03
items
33:03
have
33:04
been
33:04
sitting
33:04
in
33:04
the
33:04
trunk
33:04
of
33:05
an
33:05
instacart
33:05
driver's
33:06
car.
33:06
So
33:06
I
33:06
could
33:07
be
33:07
alerted
33:07
to
33:07
that
33:07
as
33:08
the
33:08
retailer
33:08
to
33:08
know
33:09
the
33:09
quality
33:09
of
33:10
the
33:10
service
33:10
that
33:10
I'm
33:10
giving
33:11
to,
33:11
to
33:11
my
33:12
individual
33:12
customers.
33:14
Absolutely.
33:14
And
33:14
that's
33:15
definitely
33:15
forward
33:15
looking.
33:16
Right.
33:16
So
33:16
if
33:16
you
33:17
do
33:17
all
33:17
the
33:17
hard
33:17
work
33:18
from
33:18
source
33:19
to
33:19
the
33:19
storefront,
33:21
you've
33:21
done
33:21
about
33:21
maybe
33:22
80,
33:22
90%
33:23
of
33:23
the
33:23
work.
33:23
That
33:24
final
33:24
sprint
33:25
is
33:25
that
33:25
driver.
33:25
If
33:26
they're
33:26
delivering
33:26
something
33:27
now,
33:27
we're,
33:28
we're
33:28
ways
33:28
away
33:29
to
33:29
get
33:29
the,
33:29
you
33:30
know,
33:30
the
33:30
mobile
33:31
devices
33:31
to
33:31
energize
33:32
the
33:32
tags.
33:32
I
33:32
think
33:33
that
33:33
future
33:33
will
33:33
come
33:33
as
33:34
well.
33:34
And
33:34
you
33:35
can
33:35
get
33:35
that
33:35
level
33:35
of
33:35
visibility
33:36
then
33:37
is
33:37
it
33:37
sitting
33:37
in
33:38
the
33:38
car
33:38
for
33:38
this
33:38
long
33:39
which
33:39
you
33:39
still
33:39
have
33:40
visibility
33:40
with
33:40
the
33:40
app
33:41
today?
33:41
You,
33:41
you,
33:41
you
33:42
know,
33:42
if
33:42
your
33:42
driver
33:42
is
33:43
running
33:43
Late,
33:44
you
33:44
know,
33:45
you
33:45
know,
33:45
if
33:45
you're
33:45
waiting
33:45
for
33:45
ice
33:46
creams.
33:46
Yeah,
33:47
you're
33:47
speaking
33:47
to
33:47
someone
33:47
that
33:48
orders
33:48
a
33:48
lot
33:48
of,
33:48
a
33:49
lot
33:49
of
33:49
food
33:49
through
33:49
these
33:49
services.
33:50
So
33:51
you,
33:51
you
33:51
know
33:52
how
33:52
many
33:52
stops
33:53
and
33:53
different
33:53
things
33:53
they
33:53
have.
33:54
But
33:54
the
33:55
challenge
33:55
you
33:55
have
33:55
today
33:56
is
33:56
you
33:57
don't
33:57
know
33:57
the
33:57
temperature
33:57
of
33:57
that
33:58
car.
33:58
You
33:58
don't
33:59
know
33:59
the
33:59
temperature
33:59
of
33:59
their
33:59
truck,
34:00
if
34:00
that's
34:00
sitting
34:01
in
34:01
it.
34:01
Sometimes
34:02
they
34:02
have
34:02
storage
34:02
units,
34:03
they
34:03
put
34:03
it
34:03
in
34:03
there
34:04
for,
34:04
you
34:04
know,
34:05
things
34:05
that
34:05
are
34:05
cold
34:05
or
34:06
hot
34:06
and
34:06
it's
34:07
supposed
34:07
to
34:07
keep
34:07
it
34:07
in
34:07
that
34:08
temperature.
34:08
But
34:09
can
34:09
you
34:09
really
34:09
validate
34:10
that?
34:11
So
34:11
some
34:11
of
34:12
these,
34:12
I
34:12
think
34:12
forward
34:13
looking
34:13
wise
34:13
we
34:14
will
34:14
get
34:14
into
34:14
a
34:15
future
34:15
that
34:16
if
34:16
the
34:17
tag
34:17
is
34:17
sitting
34:17
on
34:18
an
34:18
item
34:18
through
34:18
the
34:18
supply
34:19
chain
34:19
and
34:19
then
34:19
it's
34:20
sold
34:20
through
34:20
one
34:20
of
34:20
these
34:21
quick
34:21
service
34:22
restaurants
34:22
or
34:23
some
34:23
of
34:23
these
34:23
smaller
34:23
restaurants,
34:24
perhaps
34:25
that
34:25
day
34:25
comes
34:25
that
34:26
you
34:26
can
34:26
actually
34:26
track
34:27
the
34:27
temperature
34:27
in
34:28
that,
34:28
in
34:28
that
34:28
last
34:28
couple
34:29
miles
34:29
before
34:29
it's
34:30
delivered,
34:30
which
34:31
as
34:31
we
34:31
all
34:32
know,
34:32
sometimes
34:33
makes
34:33
a
34:33
big
34:33
difference.
34:34
And
34:34
it
34:34
is
34:34
the
34:35
make
34:35
or
34:35
break
34:35
on
34:35
the,
34:36
the
34:36
flavor
34:36
of
34:36
your
34:36
salmon
34:37
or
34:37
whatever
34:37
the
34:37
use
34:38
case
34:38
might
34:38
be.
34:39
You're
34:39
starting
34:39
to
34:39
get
34:39
me
34:40
to
34:40
question
34:40
my
34:40
food
34:41
delivery
34:41
habits
34:41
in
34:42
the
34:42
hot
34:42
months
34:42
of
34:42
June
34:43
here,
34:43
man.
34:43
Like,
34:43
I
34:44
don't
34:44
know,
34:44
I
34:44
might,
34:44
I
34:45
might
34:45
start
34:45
scaling
34:45
that
34:46
back.
34:47
All
34:47
right,
34:47
well,
34:47
let's
34:47
have
34:48
some
34:48
fun
34:48
here
34:48
too
34:48
before
34:48
we
34:49
get
34:49
to
34:49
the
34:49
last
34:49
round.
34:50
You
34:50
know,
34:50
on
34:51
that
34:51
point,
34:52
if
34:52
you
34:52
were
34:53
to
34:53
put
34:53
your
34:54
prediction
34:54
hat
34:54
on,
34:55
I'm
34:55
curious,
34:55
like
34:55
three
34:55
to
34:55
five
34:56
years
34:56
out,
34:57
how
34:57
do
34:57
you
34:58
think
34:58
grocery
34:59
supply
34:59
chains
35:00
will
35:00
be
35:00
designed
35:01
differently
35:01
because
35:02
of
35:02
E
35:02
commerce
35:03
than
35:03
they
35:04
are
35:04
today?
35:05
I
35:05
would
35:05
think
35:06
with
35:06
the
35:06
direction
35:06
we're
35:07
going
35:07
on
35:08
the,
35:08
again
35:08
the
35:09
X
35:09
ray
35:10
on
35:10
the
35:10
supply
35:11
chain
35:11
and
35:11
getting
35:11
full
35:12
visibility
35:12
is
35:13
that
35:13
you
35:13
could
35:14
walk
35:14
into
35:14
a
35:14
grocery
35:15
store
35:16
or
35:16
let's
35:16
say
35:16
you
35:16
order
35:17
from
35:17
that
35:17
grocery
35:18
store
35:18
instacart,
35:19
whatever
35:19
these
35:19
services
35:20
are.
35:21
And
35:21
you
35:21
can
35:22
ask,
35:23
literally
35:24
ask
35:24
your,
35:25
you
35:26
know,
35:26
package
35:27
of
35:27
lettuce,
35:28
your
35:28
package
35:29
of
35:29
shrimp,
35:29
your
35:30
package
35:30
of
35:30
salmon
35:32
can,
35:32
am
35:33
I,
35:33
are
35:33
you
35:33
safe
35:34
to
35:34
eat?
35:35
And
35:36
you
35:36
can
35:36
then
35:36
get
35:36
relayed
35:37
information
35:38
on
35:39
is
35:39
this,
35:40
this
35:40
has
35:40
been
35:41
good,
35:41
or
35:41
you
35:41
know
35:42
what,
35:42
this
35:42
one
35:42
and
35:43
the
35:43
five
35:43
packages
35:44
behind
35:44
it
35:45
do
35:45
not
35:46
go
35:46
near
35:46
them
35:47
because
35:48
X,
35:48
Y
35:48
and
35:48
Z
35:48
went
35:49
off
35:49
of
35:49
a
35:49
temperature
35:50
variance,
35:50
you
35:51
know,
35:51
12
35:52
hours
35:52
ago.
35:54
So
35:55
it's
35:55
a
35:56
ambitious
35:56
future
35:57
to
35:57
be
35:57
looking
35:58
forward
35:58
to.
35:58
But
35:58
there's
35:59
no
35:59
reason
35:59
that
35:59
that
36:00
future
36:00
doesn't
36:00
come
36:01
because
36:01
everything
36:01
we've
36:02
put
36:02
together
36:03
right
36:03
now
36:03
foundationally
36:05
supports
36:05
it.
36:06
We
36:06
have
36:06
item
36:07
level
36:07
visibility
36:08
with
36:08
rfid.
36:09
We're
36:09
building
36:10
right
36:10
now
36:10
on
36:10
those
36:11
capabilities
36:12
with
36:12
tags
36:12
that
36:13
have
36:13
sensing
36:13
capability.
36:14
We
36:15
have
36:15
infrastructure
36:15
and
36:16
scale
36:16
that
36:16
supports
36:17
the
36:17
entire
36:17
supply
36:18
chain.
36:19
The
36:19
only
36:19
thing
36:19
that
36:20
we're
36:20
really
36:21
pondering
36:21
about
36:22
right
36:22
now
36:22
is
36:23
we
36:23
have
36:23
AI.
36:24
How
36:24
quickly
36:24
can
36:25
AI
36:25
build
36:26
the
36:26
intelligence
36:27
based
36:27
on
36:27
the
36:27
data
36:27
that
36:27
comes
36:28
to
36:28
a
36:28
single
36:29
source
36:30
to
36:30
then
36:30
run
36:30
the
36:31
right
36:31
algorithm
36:32
to
36:32
give
36:32
you
36:33
that
36:33
insights,
36:34
that
36:34
level
36:34
of
36:34
insights.
36:35
And
36:35
you
36:36
know,
36:36
we're
36:36
not
36:36
far
36:36
from
36:37
it.
36:37
No.
36:38
Yeah.
36:38
And
36:38
what's
36:39
the
36:39
confidence
36:39
interval
36:39
of
36:40
it
36:40
too?
36:40
Right.
36:40
That's
36:40
the
36:41
key
36:41
thing.
36:41
Right?
36:41
Yeah.
36:42
The
36:42
former
36:42
merchant
36:42
in
36:42
me
36:43
is
36:43
going,
36:43
oh
36:43
my
36:43
God,
36:43
that's
36:43
such
36:44
a
36:44
great
36:44
merchandising
36:44
hook.
36:45
If
36:45
I
36:45
could
36:45
be
36:45
confident
36:46
that
36:46
I
36:46
could
36:46
pull
36:46
it
36:47
off
36:47
day
36:47
in
36:47
and
36:47
day
36:48
out
36:48
and
36:48
live
36:48
up
36:49
to
36:49
that
36:49
promise
36:49
and
36:49
expectation
36:50
for
36:50
my
36:50
consumer.
36:51
Okay.
36:52
Which
36:52
is
36:52
also
36:52
a
36:52
great
36:52
segue
36:53
into
36:53
my.
36:53
The
36:53
last
36:54
trend.
36:54
It's
36:54
funny
36:54
how
36:55
this
36:55
stuff
36:55
works.
36:55
The
36:55
other
36:56
trend
36:56
that's
36:56
happening
36:56
is
36:56
governmental
36:57
regulations.
36:58
Like
36:58
you
36:58
can't
36:58
talk
36:59
about
36:59
what's
36:59
happening
36:59
in
36:59
the
37:00
industry
37:00
without
37:00
also
37:01
talking
37:01
about
37:01
what's
37:01
essentially
37:02
being
37:02
forced
37:03
upon
37:03
retailers
37:04
and
37:04
grocers.
37:05
And
37:05
specifically
37:06
I'm
37:06
thinking
37:06
about
37:06
fisma,
37:07
the
37:07
Food
37:07
Safety
37:07
Modernization
37:08
Act.
37:09
I'm
37:09
sure
37:09
you're
37:10
getting
37:10
asked
37:10
about
37:10
that
37:11
all
37:11
the
37:11
time.
37:12
What
37:12
is
37:12
the
37:12
current
37:13
state
37:13
of
37:13
FISMA
37:14
and
37:14
where
37:15
from
37:15
your
37:15
opinion
37:16
are
37:16
we
37:16
in
37:17
terms
37:17
of
37:17
the
37:17
deadlines
37:18
and
37:18
how
37:19
compliant
37:20
ready
37:20
the
37:20
industry
37:21
is
37:21
at
37:21
this
37:22
point?
37:23
Definitely.
37:23
And
37:23
I'll
37:23
try
37:23
to
37:24
answer
37:24
this
37:24
less
37:25
politically
37:26
if
37:26
I
37:26
can
37:26
to
37:27
keep
37:27
myself
37:27
out
37:27
of
37:27
trouble.
37:28
But.
37:28
But
37:29
the.
37:29
I
37:30
think
37:30
these,
37:30
these
37:31
standards
37:31
that
37:32
everyone
37:32
knows
37:32
they're
37:33
important
37:33
because
37:33
they're
37:34
perishables.
37:35
You
37:35
know,
37:35
people
37:35
get
37:35
sick
37:36
if
37:36
they're
37:36
eating
37:36
it,
37:36
if
37:36
they're
37:37
injecting
37:37
something
37:37
on
37:38
the
37:38
medication
37:38
side,
37:38
taking
37:39
a
37:39
pill.
37:40
There's
37:41
so
37:41
many
37:41
variables
37:42
and
37:42
so
37:42
much
37:43
liability
37:43
behind
37:44
it.
37:44
So
37:44
I
37:44
think.
37:45
And
37:46
this
37:46
credits
37:46
to
37:47
all
37:47
the
37:47
boards
37:47
and.
37:48
And
37:48
compliance
37:49
committees
37:49
that
37:49
have
37:49
came
37:49
together,
37:51
they
37:51
want
37:51
to
37:51
get
37:51
it
37:52
right
37:52
before
37:52
they
37:52
force
37:53
it
37:53
on
37:53
folks
37:53
because
37:54
they
37:54
don't
37:54
want
37:54
to
37:54
leave
37:55
people
37:55
out
37:56
of
37:56
their
37:56
commercial
37:57
models.
37:58
But
37:58
also
37:58
they
37:58
want
37:58
to
37:58
get
37:59
it
37:59
right
37:59
that
37:59
when
37:59
it
38:00
rolls
38:00
out
38:00
it's
38:01
something
38:01
that's
38:01
truly
38:02
standardized
38:02
and
38:03
everyone
38:03
is
38:03
following
38:03
it.
38:05
What
38:05
we're
38:05
doing
38:05
is
38:06
following
38:06
those
38:06
guidelines
38:07
step
38:07
by
38:07
step.
38:08
Whether
38:08
they're
38:08
GS1
38:09
standards
38:09
on
38:09
the
38:10
barcodes
38:10
or
38:11
different
38:11
standards
38:12
we're
38:12
doing
38:12
to
38:13
follow
38:13
Sunrise
38:13
and
38:14
some
38:14
of
38:14
the
38:14
QR
38:14
things
38:15
that
38:15
they're
38:15
doing
38:16
if
38:16
they
38:16
have
38:16
to
38:17
do
38:17
with
38:17
the
38:18
regulations
38:18
of
38:19
how
38:20
temperature
38:21
needs
38:21
to
38:21
be
38:21
monitored
38:21
in
38:22
different
38:22
nodes.
38:22
Those
38:23
are
38:23
all
38:23
things
38:23
that
38:23
we're
38:24
taking
38:24
on
38:24
as
38:25
part
38:25
of
38:25
as
38:25
will
38:26
it
38:26
and
38:27
what
38:27
we're
38:27
doing
38:27
from
38:28
our
38:28
requirements.
38:29
But
38:30
I
38:30
think
38:30
all
38:31
of
38:31
these
38:31
are
38:31
coming
38:31
together.
38:32
Well,
38:32
they're
38:32
going
38:33
to
38:33
be
38:33
huge
38:34
charters
38:34
when
38:34
you
38:35
look
38:35
at
38:35
the
38:35
next
38:35
12
38:36
to
38:36
24
38:36
months,
38:37
I
38:38
also
38:38
want
38:38
to
38:38
kind
38:38
of
38:39
call
38:39
out
38:39
the
38:39
other
38:39
major
38:40
one
38:40
in
38:40
Europe
38:40
called
38:41
dpp,
38:42
the
38:42
digital
38:42
product
38:43
passports.
38:44
These
38:44
are
38:44
starting
38:44
on
38:45
higher
38:45
end
38:45
items
38:46
like
38:46
batteries,
38:47
things
38:48
that
38:48
are,
38:48
you
38:48
know,
38:49
energizing.
38:50
And
38:51
then
38:51
it's
38:51
going
38:51
to
38:51
start
38:51
to
38:52
follow
38:52
the
38:52
cadence
38:52
between
38:53
retail
38:53
and
38:54
then
38:54
it's
38:54
going
38:54
to
38:54
go
38:54
into
38:55
the
38:55
perishables
38:55
and
38:56
healthcare
38:56
and
38:56
all
38:56
these
38:57
different
38:57
things.
38:58
They're
38:58
all
38:58
going
38:58
to
38:58
go
38:59
hand
38:59
in
38:59
hand.
38:59
And
38:59
I
38:59
think
39:00
it's
39:00
a
39:00
great
39:00
thing
39:00
that
39:00
they're
39:01
forcing
39:01
it
39:01
on
39:01
the
39:01
companies,
39:02
because
39:03
the
39:03
end
39:03
of
39:03
the
39:03
day,
39:03
the
39:04
foundation
39:04
is
39:04
the
39:05
customers,
39:05
the
39:05
consumers,
39:06
and
39:07
if
39:08
they
39:08
don't
39:09
have
39:09
a
39:09
high
39:10
level
39:10
of
39:10
confidence
39:11
behind
39:11
what
39:11
they're
39:12
purchasing,
39:13
everything
39:14
falls
39:14
apart.
39:15
So
39:15
I
39:16
think
39:16
it's
39:16
on
39:16
the
39:16
right
39:17
track,
39:17
but
39:17
I
39:17
think
39:18
these
39:19
kind
39:19
of
39:20
loose
39:20
adoption
39:21
periods
39:21
is
39:21
just
39:21
to
39:22
really
39:22
get
39:22
the
39:22
compliance
39:23
portion
39:23
right.
39:23
But
39:24
we're
39:24
happy
39:24
as
39:25
we're
39:25
supporting
39:25
all
39:25
of
39:26
this.
39:26
Got
39:27
it.
39:27
So
39:27
if
39:28
you
39:28
could
39:28
wave
39:28
a
39:28
magic
39:29
wand,
39:29
so
39:29
to
39:29
speak,
39:30
to,
39:30
to,
39:31
to
39:31
make
39:31
the
39:32
compliance
39:32
happen,
39:32
you
39:33
know,
39:33
even
39:33
faster,
39:34
like,
39:34
what
39:34
would
39:34
that,
39:34
what
39:35
would
39:35
you
39:35
want
39:35
to
39:35
see
39:35
happen
39:36
to
39:36
speed
39:37
things
39:37
along?
39:38
Probably
39:38
one
39:38
or
39:38
two
39:38
flagship
39:39
customers
39:40
that
39:40
really
39:41
get,
39:41
get
39:41
behind
39:41
it.
39:42
And
39:42
I
39:42
would
39:42
start
39:43
even
39:43
on
39:43
the
39:43
perishable
39:44
side.
39:45
I
39:45
think
39:45
that's
39:46
something
39:46
that
39:47
is
39:47
a
39:47
great
39:48
starting
39:48
point
39:48
because
39:49
it's
39:49
an
39:49
item
39:49
that
39:49
goes
39:50
bad.
39:50
If,
39:50
if
39:51
a,
39:51
if
39:52
a,
39:52
if
39:52
a
39:52
garment
39:53
can't
39:53
be
39:54
tracked
39:55
and
39:55
traced,
39:55
you
39:56
know,
39:56
fully,
39:57
nobody
39:57
gets
39:57
sick
39:58
over
39:58
it.
39:58
People
39:58
get
39:59
frustrated
39:59
because
39:59
their
40:00
item
40:00
didn't
40:00
come
40:00
through.
40:01
If
40:02
something
40:02
that
40:02
you're
40:03
ingesting
40:05
doesn't
40:05
get
40:05
tracked
40:05
and
40:06
traced,
40:06
right.
40:06
You
40:07
get
40:07
sick,
40:07
you
40:08
end
40:08
up
40:08
in,
40:08
you
40:08
know,
40:09
a
40:09
doctor's
40:09
office,
40:09
worst
40:10
case
40:10
hospital,
40:10
it
40:11
could
40:11
even
40:11
have
40:11
worse
40:11
ramifications.
40:13
So
40:13
having
40:13
a
40:13
right
40:14
customer
40:14
that
40:14
can
40:15
help
40:15
steer
40:16
the
40:16
standard
40:17
with
40:17
drop
40:18
dates
40:18
on
40:18
exactly
40:19
what
40:19
is
40:19
needed.
40:20
And
40:20
then,
40:20
you
40:21
know,
40:21
for,
40:21
for
40:22
us,
40:22
you
40:22
know,
40:22
we're
40:22
happy
40:23
to
40:23
partner
40:23
on
40:24
that
40:24
initiative.
40:24
So
40:24
even
40:25
if
40:25
this
40:25
podcast
40:26
starts,
40:26
you
40:26
know,
40:26
the
40:26
right
40:27
forum
40:27
to
40:27
get
40:27
that
40:28
going,
40:28
happy
40:28
to
40:28
do
40:28
it.
40:29
But,
40:30
but
40:30
I
40:30
think
40:30
that's
40:31
what
40:31
it
40:31
takes.
40:31
It
40:31
needs
40:31
a
40:32
transformational
40:35
partner
40:36
to
40:36
really
40:36
come
40:36
forward
40:37
and
40:37
then
40:38
start
40:38
to
40:38
steer
40:38
it
40:39
towards,
40:39
towards
40:40
the
40:40
right
40:40
level
40:40
of
40:40
action.
40:42
So
40:42
you
40:42
need
40:42
somebody
40:42
to
40:42
carry
40:43
the
40:43
flag,
40:43
that's
40:43
what
40:43
you're
40:44
saying?
40:44
Yeah.
40:45
What,
40:45
and,
40:46
and
40:46
if,
40:46
if
40:47
somebody
40:47
carries
40:47
the
40:47
flag,
40:48
then
40:48
the
40:48
next
40:48
question
40:48
that
40:49
naturally
40:49
comes
40:49
to
40:49
me
40:49
is
40:50
like,
40:50
does
40:50
this
40:51
become
40:51
a
40:51
competitive
40:52
advantage
40:52
over
40:52
time
40:53
too?
40:53
Because
40:53
if
40:53
you
40:54
carry
40:54
the
40:54
flag,
40:54
plant
40:55
it
40:55
successfully
40:56
in
40:56
the
40:56
ground,
40:57
it's
40:57
got
40:57
to
40:57
be
40:57
a
40:57
huge
40:58
data
40:58
advantage
40:59
for
40:59
you
40:59
too.
40:59
So
40:59
that's
41:00
where
41:00
I
41:00
think
41:00
sometimes
41:01
the
41:01
industry
41:01
gets
41:01
scared
41:02
of
41:02
regulation,
41:03
not
41:03
to
41:03
get
41:03
political
41:03
again,
41:04
but.
41:04
But
41:04
it
41:04
actually
41:05
is
41:05
a
41:05
competitive
41:05
advantage
41:06
if
41:06
you
41:06
think
41:06
about
41:06
it
41:07
and
41:07
apply
41:07
it
41:08
correctly.
41:09
Absolutely.
41:10
Early
41:10
adopters,
41:10
they
41:11
always
41:11
have
41:11
the
41:11
pain
41:12
and
41:12
the
41:12
scars,
41:13
but
41:13
they're
41:14
driving
41:14
the
41:14
market.
41:15
Right.
41:15
And
41:15
so
41:15
as
41:16
to
41:16
your
41:16
point,
41:17
if
41:17
you
41:17
are
41:17
an
41:17
early
41:17
adopter
41:18
and
41:18
you
41:18
have
41:18
that
41:18
head
41:19
start
41:19
with
41:19
the
41:19
innovation
41:20
track,
41:21
doesn't
41:21
mean
41:21
innovation
41:22
stops.
41:23
You've
41:23
now
41:24
broke
41:24
through,
41:24
and
41:24
while
41:25
others
41:25
are
41:25
catching
41:26
up,
41:26
you're
41:26
on
41:26
the
41:26
next
41:26
charter
41:27
and
41:27
the
41:28
next
41:28
innovation
41:28
job.
41:30
So
41:30
I
41:30
think
41:31
I
41:31
know
41:31
the
41:31
answer
41:31
to.
41:31
I
41:31
want
41:32
to
41:32
wrap
41:32
this
41:32
up
41:32
now,
41:32
and
41:32
I
41:33
think
41:33
I
41:33
know
41:33
the
41:33
answer
41:33
to
41:33
this
41:33
question,
41:34
but
41:34
just
41:34
to
41:34
ask
41:34
it
41:35
of
41:35
you,
41:35
you
41:35
know,
41:36
so
41:36
we've
41:36
talked
41:36
about
41:37
five
41:37
trends,
41:37
but
41:37
I'm
41:38
curious,
41:38
you
41:38
know,
41:39
we,
41:39
we've
41:40
talked
41:40
about
41:40
them
41:40
all
41:40
separately,
41:41
but
41:41
they're
41:41
really
41:41
all
41:42
interconnected.
41:42
And
41:43
so
41:43
do
41:43
you
41:44
see
41:44
them
41:44
all
41:44
as,
41:45
as
41:45
one
41:45
big
41:46
mega
41:46
trend
41:47
ultimately,
41:47
or
41:47
do
41:47
you
41:47
see
41:48
them
41:48
as
41:48
separate
41:48
developments?
41:49
How,
41:49
how
41:49
would
41:50
you
41:50
think
41:50
about
41:50
that
41:51
conceptually,
41:51
in
41:51
terms
41:51
of
41:51
what
41:52
we've
41:52
discussed
41:52
today?
41:53
Yeah,
41:54
I
41:54
think
41:54
they're
41:55
all
41:55
foundational
41:55
blocks.
41:56
They're
41:56
all
41:57
part
41:57
of
41:57
the
41:57
same
41:57
trend.
41:58
Some
41:59
are
41:59
a
41:59
little
42:00
bit
42:00
more
42:00
influential
42:01
than
42:01
others.
42:01
Compliance
42:02
standards,
42:03
the
42:03
things
42:03
that,
42:04
you
42:04
know,
42:04
are,
42:05
are
42:05
steering
42:06
basically
42:07
mandates.
42:08
They,
42:08
they
42:08
have
42:09
a
42:09
little
42:09
bit
42:10
heavier
42:10
weight
42:10
and
42:11
a
42:11
block
42:11
on
42:11
the
42:11
foundation.
42:13
Some
42:13
of
42:13
the
42:13
others
42:14
that
42:14
like
42:14
a
42:16
last
42:17
mile
42:17
delivery
42:18
on
42:18
the
42:18
Uber
42:19
apps.
42:19
Right.
42:19
Like
42:19
we
42:20
talked
42:20
about
42:20
there.
42:20
Right.
42:20
Those
42:21
are,
42:21
those
42:21
are
42:21
kind
42:21
of
42:21
nice
42:22
to
42:22
have.
42:22
They're
42:22
a
42:22
byproduct
42:23
of
42:23
the
42:23
foundation
42:24
that,
42:24
that
42:24
we're
42:24
all
42:25
building
42:25
out
42:25
in
42:25
the
42:26
this
42:26
journey.
42:26
But
42:27
I
42:27
don't
42:28
think
42:28
anything
42:28
is
42:28
discredited.
42:29
They're
42:29
all
42:29
different
42:30
bits
42:30
and
42:31
pieces.
42:31
Some
42:32
just
42:32
hold
42:32
a
42:32
little
42:32
bit
42:33
more
42:33
weight
42:33
than,
42:34
than
42:34
others.
42:34
Right.
42:35
And
42:35
I
42:35
would
42:35
assume
42:35
even
42:35
like
42:36
the
42:36
agentic
42:36
AI
42:37
conversation
42:37
that
42:37
we
42:37
had
42:38
too,
42:38
maybe
42:38
that
42:38
takes
42:39
a
42:39
little
42:39
bit
42:39
of
42:39
a
42:39
backseat
42:40
to
42:40
some
42:40
of
42:40
the
42:40
other
42:40
things
42:41
we
42:41
were
42:41
discussing.
42:41
But
42:42
I
42:42
don't
42:42
want
42:42
to
42:42
put
42:42
words
42:42
in
42:42
your
42:42
mouth.
42:43
Would
42:43
you
42:43
agree
42:43
with
42:43
that?
42:43
I
42:44
agree
42:44
absolutely.
42:45
You
42:45
do?
42:45
You
42:46
do.
42:46
All
42:46
right,
42:47
so.
42:47
So
42:47
here's
42:48
here
42:48
then
42:48
is
42:48
the
42:48
prioritization
42:49
question
42:49
that
42:50
naturally
42:50
follows.
42:50
Amir,
42:52
if
42:52
I'm
42:52
a
42:52
supply
42:52
chain
42:52
executive
42:53
listening
42:53
to
42:53
this
42:53
podcast
42:54
and
42:54
I
42:54
have
42:55
limited
42:55
budget
42:55
and
42:56
bandwidth,
42:57
what,
42:57
what
42:57
of
42:58
what
42:58
we
42:58
just
42:58
discussed
42:59
should
42:59
I
42:59
be
42:59
focusing
43:00
on
43:00
first?
43:01
Your
43:02
pain.
43:03
What's
43:03
your
43:03
pain?
43:04
What's
43:04
your
43:04
pain?
43:05
And
43:05
can
43:05
you
43:05
quantify
43:06
it?
43:07
If
43:07
you
43:07
can,
43:07
if
43:08
you
43:08
can
43:08
answer
43:08
those
43:08
two
43:09
questions,
43:10
you
43:10
know,
43:10
we
43:10
have
43:11
a
43:11
right
43:11
to.
43:11
Ecosystem
43:12
to,
43:12
to
43:12
support
43:12
you.
43:13
Do
43:13
I
43:14
need
43:14
to
43:14
be
43:14
able
43:14
to
43:14
quantify
43:15
it
43:15
or
43:15
is
43:15
that
43:16
a
43:16
common
43:16
mistake
43:16
you
43:16
see
43:17
people
43:17
make
43:17
where
43:17
they
43:18
think,
43:18
think
43:18
they
43:18
have
43:18
a
43:18
pain.
43:19
They
43:19
try
43:19
to,
43:20
they
43:20
try
43:20
to
43:20
go
43:20
after
43:20
a
43:21
project,
43:21
they
43:21
try
43:21
to
43:21
do,
43:22
spend
43:22
some
43:22
capital
43:22
on
43:23
trying
43:23
to
43:23
fix
43:23
the
43:23
pain,
43:24
but
43:24
they
43:24
don't
43:24
really
43:24
understand
43:24
how
43:25
to
43:25
measure
43:25
it.
43:25
Like
43:26
is,
43:26
is
43:26
that
43:26
a
43:27
pitfall
43:27
you
43:27
see
43:27
happen
43:28
a
43:28
lot
43:28
or
43:28
are
43:28
there
43:28
other
43:28
pitfalls
43:29
too
43:29
that
43:29
you
43:29
know,
43:30
you
43:30
see
43:30
frequently
43:31
as
43:31
people
43:31
are
43:31
tackling
43:32
that
43:32
question
43:32
of
43:32
where
43:32
to
43:32
prioritize?
43:33
I,
43:34
I
43:34
think
43:34
the
43:34
pain
43:34
is,
43:34
is
43:35
an
43:35
easy
43:35
answer.
43:36
Typically
43:37
when
43:37
you
43:37
go
43:38
through
43:38
this
43:38
process,
43:38
sometimes
43:39
you
43:39
find
43:39
out
43:39
you
43:39
have
43:39
more
43:40
than
43:40
one
43:40
pain
43:40
and,
43:41
and
43:41
there's,
43:41
there's
43:41
nothing
43:42
wrong
43:42
with
43:42
that,
43:42
that
43:42
then
43:43
it
43:43
becomes
43:43
a
43:43
discussion
43:43
of
43:44
how
43:44
do
43:44
we
43:44
prioritize
43:45
different
43:45
pain
43:46
points.
43:46
But
43:46
the
43:47
quantifying
43:47
aspect,
43:47
you're
43:48
absolutely
43:48
right.
43:48
Sometimes
43:49
it's
43:49
not
43:49
self
43:50
explanatory.
43:50
You
43:51
might
43:51
lose
43:51
an
43:51
item,
43:51
you
43:52
know
43:52
the
43:52
value
43:52
of
43:52
that
43:53
item
43:53
and
43:53
you
43:54
multiply
43:54
it
43:54
by
43:54
X
43:55
number
43:55
of
43:55
items
43:55
lost
43:56
and
43:56
you
43:56
have
43:56
a,
43:56
you
43:56
know,
43:57
you
43:57
have
43:57
an
43:57
amount
43:57
and
43:58
now
43:58
you've
43:58
quantified
43:59
it,
43:59
sometimes
44:00
it's
44:00
not
44:01
as
44:01
clear.
44:01
And
44:02
so
44:02
I
44:02
think
44:02
part
44:02
of
44:02
that
44:03
journey
44:03
is
44:03
that
44:03
first
44:04
you
44:04
understand
44:05
what
44:05
the
44:05
pain
44:06
is.
44:06
We
44:07
work
44:07
through
44:07
those
44:07
workflows
44:08
to
44:09
work
44:09
and
44:10
understand
44:10
exactly
44:11
what,
44:12
what
44:12
it
44:12
is
44:12
that
44:12
you're
44:12
quantifying.
44:14
And
44:14
if
44:14
there's
44:15
something
44:15
that's
44:15
an
44:15
intangible,
44:16
like
44:18
man
44:18
hours
44:18
behind
44:19
it,
44:19
that
44:19
aren't
44:19
100%
44:20
something
44:20
that
44:20
you
44:21
can
44:21
quantify
44:21
because
44:22
direct
44:22
labor
44:22
is
44:23
not
44:23
a
44:24
source
44:24
behind
44:24
it,
44:24
then
44:25
we
44:25
can
44:25
make
44:25
some
44:25
assumptions
44:26
together.
44:26
But
44:27
we're,
44:28
we're
44:28
in
44:28
the
44:28
world
44:28
and
44:29
I
44:29
think
44:29
all
44:29
of
44:29
us
44:30
as
44:30
ecosystems,
44:31
suppliers,
44:33
enablers,
44:33
innovators,
44:34
we're
44:35
in
44:35
a
44:35
world
44:35
of
44:36
helping
44:36
the
44:36
market
44:37
grow
44:37
and
44:37
innovate
44:38
and,
44:38
and
44:39
understand
44:39
what
44:40
the
44:40
latest
44:40
trends
44:40
are
44:40
and
44:41
how
44:41
we
44:41
can
44:41
help
44:41
each
44:41
other
44:42
build.
44:42
And
44:42
the
44:42
only
44:43
way
44:43
we
44:43
can
44:43
do
44:43
that
44:43
is
44:44
to
44:44
support
44:45
the
44:45
ecosystem
44:46
and
44:46
understand
44:46
where
44:46
the
44:47
pain
44:47
points
44:47
are.
44:47
Because
44:47
my
44:48
pain
44:48
is
44:49
more
44:49
than
44:49
likely
44:50
a
44:50
pain
44:50
that
44:50
you
44:51
also
44:51
have.
44:52
It
44:52
might
44:52
not
44:52
be
44:52
apple
44:53
to
44:53
apple,
44:53
but
44:53
if
44:53
we're
44:54
both
44:54
operating
44:54
a
44:54
supply
44:55
chain,
44:55
we
44:56
have
44:56
very
44:56
similar
44:57
pains
44:57
and
44:57
we
44:57
speak
44:58
the
44:58
same
44:58
dialect.
44:59
I
44:59
love
44:59
that
44:59
you
45:00
said
45:00
that
45:00
because
45:01
I've
45:01
been
45:01
on
45:01
that
45:01
stump
45:02
too.
45:02
Like
45:02
I've
45:03
been
45:03
stumping
45:03
that,
45:03
that
45:04
theme
45:04
too,
45:04
which
45:04
is
45:04
like,
45:05
yes,
45:05
everyone's
45:06
supply
45:06
chain
45:06
operates
45:06
pretty
45:07
similarly
45:07
at
45:07
the
45:07
end
45:07
of
45:07
the
45:07
day.
45:08
But
45:08
I'm
45:08
curious
45:08
too,
45:09
because
45:09
like
45:10
roi,
45:11
ROI
45:12
can
45:12
be
45:12
a
45:12
bit
45:12
amorphous
45:13
when
45:13
you
45:13
start
45:13
talking
45:14
about
45:14
that.
45:14
So
45:15
as
45:15
you
45:15
work
45:15
with
45:15
different
45:16
retailers
45:16
and
45:16
they
45:17
identify
45:17
the
45:18
business
45:18
cases,
45:19
are
45:19
there
45:20
specific
45:20
metrics
45:21
that
45:21
they're
45:21
using
45:22
to
45:22
validate
45:23
these
45:24
applications?
45:25
You
45:25
know
45:25
across
45:26
the
45:26
industry
45:26
that
45:27
you
45:27
can
45:27
call
45:27
out
45:28
for
45:28
the
45:28
audience
45:28
today
45:29
of
45:29
things
45:29
they
45:29
should
45:30
be
45:30
focused
45:30
on
45:31
to,
45:31
to
45:31
drive
45:32
and
45:32
measure
45:32
the
45:32
ROI
45:33
they
45:33
will
45:33
see
45:34
in
45:34
their
45:34
organizations.
45:35
Yeah,
45:36
so,
45:36
so
45:36
starting
45:37
point
45:37
is,
45:37
I
45:37
mean
45:38
dollar
45:39
in,
45:39
dollar
45:40
out
45:40
or
45:40
are
45:41
you,
45:41
are
45:41
you
45:41
seeing
45:41
a
45:42
correlation
45:42
behind
45:43
that?
45:43
And
45:43
then
45:44
definitely
45:44
any
45:44
kind
45:44
of
45:44
dollar
45:45
out
45:45
you
45:45
want
45:45
to,
45:46
you
45:46
want
45:46
to
45:46
make
45:46
sure
45:47
that
45:47
you're
45:47
getting
45:47
a
45:47
return
45:48
of,
45:48
you
45:48
know,
45:48
10
45:49
to
45:49
12x
45:50
on
45:50
the
45:50
investment
45:51
that
45:51
you're
45:51
making.
45:53
Always.
45:54
Starting
45:54
point
45:54
is
45:55
when
45:55
you
45:55
look
45:55
at
45:55
like
45:56
shrink
45:57
when
45:57
you're
45:57
looking
45:57
at
45:58
any
45:58
kind
45:58
of
45:58
loss.
46:00
So
46:00
shrink.
46:01
What
46:01
I
46:01
mean
46:02
by
46:02
that
46:02
is
46:02
it's
46:02
a
46:03
lost
46:03
item
46:03
through
46:03
the
46:03
supply
46:04
chain.
46:04
You
46:04
lost
46:04
visibility
46:05
on
46:05
it.
46:06
You
46:06
just
46:06
don't
46:07
know
46:07
exactly
46:08
when.
46:09
I'm
46:09
looking
46:09
at
46:10
loss
46:11
as
46:11
just
46:12
a
46:12
standalone.
46:13
I
46:13
don't
46:13
mean
46:14
you
46:14
lost
46:14
visibility
46:15
of
46:15
it.
46:15
This
46:15
is
46:16
a
46:16
written
46:16
off
46:17
item
46:17
because
46:18
it
46:18
was
46:19
something
46:19
that
46:19
was
46:19
a
46:19
perishable,
46:20
it
46:20
could
46:20
not
46:21
be
46:21
sold,
46:21
it's
46:22
spoiled.
46:22
It
46:23
went
46:23
through
46:23
that,
46:23
that
46:24
mix
46:24
of
46:24
an
46:24
item
46:25
and
46:25
then
46:25
you
46:25
have
46:26
inefficiencies.
46:27
And
46:27
I
46:27
think
46:27
the
46:27
inefficiencies
46:28
is
46:28
the,
46:29
the
46:29
major
46:30
one
46:30
that
46:30
a
46:31
lot
46:31
of
46:31
folks
46:31
don't
46:31
know
46:31
how
46:32
to
46:32
put
46:32
a
46:32
finger
46:32
on
46:33
and
46:33
quantify.
46:34
Inefficiencies
46:35
can
46:35
be
46:35
workflows
46:36
within
46:36
your
46:36
facility.
46:37
Items
46:38
that
46:38
move
46:38
from
46:38
one
46:39
location
46:39
to
46:39
another,
46:39
they
46:40
get
46:40
loaded
46:41
on
46:41
the
46:41
wrong
46:41
truck,
46:42
pulled
46:42
off
46:43
of
46:43
the
46:43
truck,
46:44
loaded
46:44
on
46:44
the
46:44
right
46:45
one.
46:45
This
46:45
is
46:45
all
46:45
time
46:46
loss
46:46
that
46:46
equates
46:46
to
46:47
dollars.
46:48
Items
46:48
that
46:48
require
46:49
manual
46:49
intervention
46:50
to
46:50
be
46:50
scanned.
46:51
Perhaps
46:52
that
46:52
warehouse
46:52
manager
46:53
heard
46:54
something
46:54
in
46:54
the
46:54
background
46:55
while
46:55
he
46:55
was
46:55
scanning.
46:56
When
46:56
I
46:56
looked
46:56
at
46:56
it,
46:57
came
46:57
back,
46:57
forgot
46:58
he
46:58
was
46:58
scanning
46:58
that
46:58
side,
46:59
went
46:59
to
46:59
the
46:59
other
46:59
side.
47:00
You
47:01
missed
47:01
basically
47:02
line
47:02
of
47:02
sight
47:02
on
47:03
some
47:03
items
47:03
during
47:03
the
47:04
manual
47:05
intervention.
47:05
So
47:06
all
47:06
of
47:06
these
47:06
are
47:06
different
47:07
variables.
47:07
But
47:07
I
47:07
would
47:07
say
47:08
those
47:08
three,
47:09
when
47:09
you
47:09
look
47:10
at
47:10
true
47:10
shrink,
47:11
true
47:12
perishables,
47:12
loss,
47:13
and
47:13
then
47:14
workflow
47:14
optimization,
47:15
those
47:15
are
47:15
the
47:15
three
47:15
to
47:16
start
47:16
with
47:16
to
47:16
try
47:16
to
47:17
quantify
47:17
and
47:17
get
47:18
a
47:18
starting
47:18
point.
47:19
That
47:19
workflow
47:20
optimization
47:20
is
47:20
something
47:21
I've
47:21
never
47:21
actually
47:21
thought
47:21
about
47:21
too.
47:22
Could
47:22
you
47:22
actually
47:22
quantify
47:23
the
47:23
amount
47:24
of
47:24
times
47:24
you're
47:24
asking
47:24
somebody
47:25
to
47:25
do
47:25
something
47:26
a
47:26
second
47:26
time
47:26
for
47:27
no
47:27
reason?
47:28
Absolutely.
47:28
Yeah.
47:29
Twice
47:29
a
47:30
day,
47:30
three
47:30
times
47:30
a
47:30
day
47:30
within
47:31
the
47:31
same
47:31
warehouse.
47:32
Clipboards,
47:34
scanners
47:34
that
47:34
require
47:35
line
47:35
of
47:35
size,
47:36
RFID
47:36
wands
47:37
that
47:37
maybe
47:38
are
47:38
not
47:38
being
47:38
read
47:39
in
47:39
the
47:39
consistent
47:40
format,
47:40
pointed
47:41
in
47:41
the
47:41
same
47:41
format.
47:42
These
47:42
all,
47:43
they
47:43
equate
47:43
to
47:43
dollars
47:44
at
47:44
the
47:44
end
47:44
of
47:44
the
47:44
day.
47:45
Yeah.
47:45
And
47:45
in
47:46
my
47:46
retail
47:46
career
47:46
is
47:47
particularly
47:47
running
47:47
stores.
47:48
That's
47:48
not
47:48
a
47:48
metric
47:49
I've
47:50
ever
47:50
seen
47:50
before
47:51
or
47:51
had
47:51
a
47:52
discussion
47:52
about.
47:52
So
47:52
that's
47:53
really
47:53
Interesting
47:53
that
47:53
technology
47:54
can
47:54
get
47:54
us
47:54
to
47:54
a
47:54
place
47:55
where
47:55
so
47:55
where
47:55
we
47:56
can
47:56
potentially
47:56
have
47:56
that
47:57
discussion.
47:58
All
47:58
right,
47:59
so
47:59
let's
47:59
get
48:00
you
48:00
out
48:00
of
48:00
here
48:00
on
48:00
this.
48:01
We
48:01
call
48:02
this
48:02
podcast
48:02
Confessions
48:03
of
48:03
Supply
48:03
Chain
48:04
Executives.
48:04
So
48:04
now
48:04
I'm
48:05
going
48:05
to
48:05
ask
48:05
for
48:05
your
48:06
confession,
48:06
Amir.
48:08
What's
48:08
the
48:08
uncomfortable
48:09
truth
48:10
about
48:11
all
48:11
the
48:11
trends
48:12
or
48:12
this
48:12
topic
48:12
that
48:12
we've
48:13
discussed
48:13
today
48:13
that.
48:14
That
48:14
retailers
48:15
do
48:15
not
48:15
want
48:16
to
48:16
hear?
48:17
That's
48:18
a
48:18
loaded
48:18
question.
48:19
I
48:20
think
48:20
it
48:20
really
48:20
comes
48:21
down
48:21
to
48:24
adoption.
48:26
Kind
48:26
of
48:26
a
48:26
weird
48:26
one
48:26
to
48:27
end
48:27
with
48:27
because
48:27
at
48:28
the
48:28
same
48:28
time,
48:28
we're
48:28
talking
48:29
about
48:29
adoption
48:29
and
48:29
everything
48:30
else.
48:30
And
48:30
what
48:30
I
48:30
mean
48:30
by
48:31
that
48:31
is
48:32
any
48:32
executive
48:33
that
48:33
takes
48:34
on
48:34
a.
48:34
A
48:35
project,
48:36
they're
48:36
on
48:36
the
48:37
cuff
48:37
to
48:38
make
48:38
sure
48:38
that
48:38
that's
48:38
implemented
48:39
right.
48:39
The
48:40
value
48:40
is
48:40
realized.
48:41
And
48:41
again,
48:42
the
48:42
dollars
48:42
out
48:43
are
48:43
equating
48:43
10
48:44
to
48:44
12x
48:44
plus
48:45
of
48:45
the
48:46
value
48:46
that
48:46
they're
48:47
investing
48:47
in.
48:48
So
48:50
the
48:50
underlier
48:51
here
48:51
is
48:51
the
48:51
adoption.
48:52
It's
48:52
the
48:52
confidence
48:53
behind
48:53
that
48:53
adoption
48:55
and
48:55
how
48:56
I
48:56
combat
48:56
that
48:57
to
48:57
make
48:57
sure
48:57
that
48:58
it's
48:59
successful
48:59
is
49:00
that
49:00
surround
49:01
yourself
49:01
with
49:01
the
49:01
right
49:02
implementation
49:02
team,
49:02
the
49:03
right
49:03
tiger
49:03
team.
49:04
When
49:04
you're
49:05
going
49:05
into
49:06
such
49:06
a
49:06
significant
49:07
digital
49:07
transformation,
49:08
any
49:09
type
49:09
of
49:10
engagement,
49:11
your
49:11
adoption
49:12
is
49:12
the
49:12
hurdle.
49:12
It's
49:13
the
49:13
first
49:13
jump
49:13
that
49:14
you're
49:14
going
49:14
to
49:14
make.
49:15
So
49:15
you
49:15
want
49:15
to
49:15
make
49:15
sure
49:16
that
49:16
you
49:16
have
49:16
the
49:17
right
49:17
foundation
49:17
underneath
49:18
you,
49:18
that
49:19
as
49:19
you
49:19
go
49:19
through
49:20
it,
49:20
they've
49:20
had
49:20
experience,
49:22
you
49:22
know,
49:23
both
49:23
internal,
49:24
external
49:24
stakeholders
49:25
are
49:25
part
49:25
of
49:26
that
49:26
journey
49:26
and
49:27
that
49:27
you're
49:27
not
49:27
doing
49:27
it
49:28
yourself.
49:28
So
49:28
the
49:29
adoption
49:29
is
49:29
a
49:30
scary
49:30
thought,
49:30
but
49:31
it's
49:31
actually
49:31
an
49:31
easy
49:32
one
49:32
if
49:32
you're.
49:32
If
49:32
you're
49:33
surrounded
49:33
by
49:33
the
49:33
right
49:33
level
49:34
of
49:34
experts
49:34
to
49:35
guide
49:35
you
49:35
on
49:35
it.
49:36
Just
49:36
got
49:36
to
49:37
take
49:37
the
49:37
leap.
49:37
All
49:38
right,
49:38
man.
49:38
Great
49:39
stuff.
49:39
Great
49:40
stuff,
49:40
man.
49:41
Absolute
49:41
pleasure
49:41
having
49:42
you
49:42
on
49:42
the
49:42
show
49:43
with
49:43
us
49:43
today.
49:43
I
49:44
really
49:44
enjoyed
49:44
this
49:44
conversation
49:45
again.
49:46
Amir
49:46
Kosniadi
49:47
from
49:47
Wiliot.
49:48
Thanks
49:48
for
49:48
joining
49:48
us,
49:49
man.
49:49
Hope
49:49
you
49:49
have
49:49
a
49:49
great
49:50
day
49:50
and
49:50
hopefully
49:51
we'll
49:51
get
49:51
you
49:51
back
49:51
on
49:51
here
49:52
again
49:52
soon.
49:53
Thanks,
49:53
Chris.
49:53
Look
49:53
forward
49:54
to
49:54
collaborating
49:54
more.
49:55
Today's
49:55
podcast
49:56
has
49:56
been
49:56
produced
49:56
by
49:56
Ellis
49:57
Sirjord.
49:57
I
49:57
am
49:57
Chris
49:58
Walton.
49:58
This
49:58
has
49:58
been
49:59
Confessions
49:59
of
49:59
a
49:59
Supply
50:00
Chain
50:00
Executive.
50:01
Never
50:01
forget,
50:01
Omnitok
50:02
fans.
50:03
Confessions
50:03
are
50:04
almost
50:04
always
50:04
good
50:05
for
50:05
the
50:05
soul.
50:06
Be
50:06
careful
50:06
out
50:07
there.