Latest / Omni Talk Retail / Walmart Stores Of The Future, Morrisons Robots & Why Saks Just Set Omnichannel Back | Fast Five

Transcript

Walmart Stores Of The Future, Morrisons Robots & Why Saks Just Set Omnichannel Back | Fast Five · Omni Talk Retail

0:00
The
0:00
Omnich
0:01
Fast
0:01
5
0:01
is
0:01
brought
0:02
to
0:02
you
0:02
by
0:02
the
0:02
A
0:02
and
0:03
M
0:03
Consumer
0:03
and
0:03
Retail
0:04
Group.
0:04
The
0:04
A
0:04
and
0:05
M
0:05
Consumer
0:05
and
0:05
Retail
0:06
Group
0:06
is
0:06
a
0:06
management
0:06
consulting
0:07
firm
0:07
that
0:07
tackles
0:08
the
0:08
most
0:08
complex
0:09
challenges
0:09
and
0:09
advances
0:10
its
0:10
clients,
0:11
people
0:11
and
0:11
communities
0:12
toward
0:12
their
0:12
maximum
0:12
potential.
0:13
CRG
0:14
brings
0:14
the
0:14
experience,
0:15
tools
0:15
and
0:15
operator
0:16
like
0:16
pragmatism
0:17
to
0:17
help
0:17
retailers
0:18
and
0:18
consumer
0:19
products
0:19
companies
0:19
be
0:19
on
0:20
the
0:20
right
0:20
side
0:20
of
0:20
disruption
0:21
and
0:22
Miracle,
0:22
the
0:23
catalyst
0:23
of
0:23
Commerce.
0:24
Over
0:25
450
0:26
retailers
0:26
are
0:26
now
0:27
opening
0:27
new
0:27
revenue
0:28
streams
0:28
with
0:28
marketplaces,
0:29
dropship
0:29
and
0:30
retail
0:30
media
0:30
and
0:31
succeed.
0:31
Leading
0:32
with
0:32
Miracle,
0:33
you
0:33
can
0:33
unlock
0:33
more
0:34
products,
0:34
more
0:35
partners
0:35
and
0:35
more
0:36
profits
0:36
without
0:36
the
0:37
heavy
0:37
lifting.
0:38
What's
0:38
holding
0:38
you
0:38
back?
0:39
Visit
0:39
Miracle.com
0:41
to
0:41
learn
0:41
more.
0:41
That's
0:42
M
0:42
I
0:42
R
0:42
A
0:43
K
0:43
L.com
0:44
and
0:44
Simbi
0:45
Simbi
0:45
powers
0:46
the
0:46
most
0:46
retail
0:47
banners
0:47
in
0:48
the
0:48
world
0:48
with
0:49
today's
0:49
only
0:50
multimodal
0:50
platform
0:51
for
0:51
in
0:51
store
0:51
intelligence.
0:52
See
0:53
how
0:53
Albertsons,
0:53
BJ's
0:54
Spartan
0:54
Nash
0:55
and
0:55
Wakefern
0:55
win
0:56
with
0:56
AI
0:56
and
0:57
automation
0:57
at
0:57
circumstances.
0:59
Simbrobotics.com
1:00
and
1:00
Infios.
1:01
@
1:01
Infios,
1:02
they
1:02
unite
1:02
warehousing,
1:03
transportation
1:03
and
1:04
order
1:04
management
1:05
into
1:05
a
1:05
seamless,
1:05
adaptable
1:06
network.
1:07
Infios
1:07
helps
1:08
you
1:08
stay
1:08
ahead
1:09
from
1:09
promise
1:10
to
1:10
delivery
1:10
and
1:11
every
1:11
step
1:11
in
1:12
between.
1:12
To
1:12
learn
1:13
more,
1:13
visit
1:13
infios.com
1:15
and
1:15
Clear
1:15
Demand
1:16
pricing
1:17
shouldn't
1:17
be
1:17
guesswork
1:18
Clear
1:18
Demand's
1:19
AI
1:19
powered
1:19
pricing
1:20
data
1:20
and
1:20
optimization
1:21
solutions
1:21
help
1:22
retailers
1:22
stay
1:22
competitive
1:23
while
1:23
protecting
1:24
margins,
1:25
smarter
1:25
pricing,
1:26
stronger
1:26
profits.
1:27
Clear
1:28
Demand
1:28
makes
1:28
it
1:29
happen
1:30
more@cleardemand.com
1:32
omnitalk
1:33
and
1:33
finally,
1:34
Ocampo
1:34
Capital.
1:35
Ocampo
1:35
Capital
1:35
is
1:36
a
1:36
venture
1:36
capital
1:36
firm
1:37
founded
1:37
by
1:37
retail
1:38
executives
1:38
with
1:38
the
1:38
aim
1:39
of
1:39
helping
1:39
early
1:40
stage
1:40
consumer
1:40
businesses
1:41
succeed
1:41
through
1:42
investment
1:42
and
1:42
operational
1:43
support.
1:44
Learn
1:44
more@ocampo
1:45
capital.com
1:47
hello,
1:47
you
1:47
are
1:47
listening
1:48
to
1:48
AMI
1:48
Talks.
1:49
Retail
1:49
Fast
1:50
Five
1:50
ranked
1:50
in
1:50
the
1:50
top
1:51
10%
1:51
of
1:51
all
1:52
podcasts
1:52
globally
1:52
and
1:53
currently
1:53
the
1:53
only
1:53
retail
1:54
podcast
1:54
ranked
1:54
in
1:55
the
1:55
top
1:55
100
1:56
of
1:56
all
1:56
business
1:56
podcasts
1:57
on
1:57
Apple
1:57
Podcasts.
1:58
The
1:58
Retail
1:58
Fast
1:59
Five
1:59
is
1:59
the
1:59
podcast
2:00
that
2:00
we
2:00
hope
2:00
makes
2:00
you
2:00
feel
2:01
a
2:01
little
2:01
smarter,
2:02
but
2:02
most
2:03
importantly,
2:03
a
2:03
little
2:04
happier
2:04
each
2:04
week
2:05
too.
2:05
And
2:05
the
2:05
Fast
2:06
5
2:06
is
2:06
just
2:06
one
2:06
of
2:06
the
2:06
many
2:07
great
2:07
podcasts
2:08
you
2:08
can
2:08
find
2:09
on
2:09
the
2:09
Omnitok
2:09
Retail
2:10
Podcast
2:10
Network
2:11
alongside
2:11
our
2:11
Retail
2:12
Daily
2:12
Minute
2:12
which
2:12
brings
2:12
you
2:13
a
2:13
curated
2:13
selection
2:14
of
2:14
the
2:14
most
2:14
important
2:14
retail
2:15
headlines
2:15
every
2:16
morning
2:16
and
2:17
our
2:17
Retail
2:17
Technology
2:18
Spotlight
2:18
series
2:18
which
2:19
goes
2:19
deep
2:19
each
2:19
week
2:20
on
2:20
the
2:20
latest
2:20
retail
2:21
technology
2:21
trends.
2:22
It's
2:23
May
2:23
7,
2:24
2025.
2:25
I'm
2:25
one
2:26
of
2:26
your
2:26
hosts,
2:26
Ann
2:26
Mazinga.
2:27
And
2:27
I'm
2:28
Chris
2:28
Walton.
2:28
May
2:29
already
2:29
wow.
2:30
May.
2:30
It's
2:30
gonna
2:31
be
2:31
May.
2:31
Chris.
2:32
It's
2:32
gonna
2:32
be
2:32
May.
2:33
And
2:33
we
2:33
are
2:34
here
2:34
Once
2:34
again
2:34
to
2:34
discuss
2:35
all
2:35
the
2:35
top
2:35
headlines
2:36
from
2:36
the
2:36
past
2:36
week,
2:37
making
2:37
waves
2:38
in
2:38
the
2:38
world
2:38
of
2:38
omnichannel
2:39
retailing.
2:40
And,
2:40
Chris,
2:40
we
2:41
couldn't
2:41
start
2:41
May
2:42
without
2:42
a
2:42
very
2:43
special
2:43
guest
2:43
joining
2:44
us
2:44
today.
2:45
We
2:45
have
2:46
none
2:46
other
2:46
than
2:46
the
2:46
VP
2:47
of
2:47
content
2:47
for
2:47
Shop
2:48
talking
2:48
grocery
2:48
shop,
2:49
the
2:49
one,
2:50
the
2:50
only,
2:50
Mr.
2:51
Ben
2:52
Miller.
2:52
Let's
2:52
get
2:52
a
2:53
round
2:53
of
2:53
applause.
2:53
Mr.
2:54
Ben
2:54
Miller,
2:54
welcome.
2:55
Welcome
2:55
to
2:55
Omni
2:56
Talk.
2:56
Hi,
2:57
Anne.
2:57
Hi,
2:57
Chris.
2:58
Great.
2:58
Thank
2:58
you
2:59
for
2:59
having
2:59
me
2:59
back.
2:59
Really
3:00
good
3:00
to
3:00
be
3:00
here.
3:01
It's
3:01
always
3:02
great
3:02
to
3:02
see
3:02
you,
3:02
man.
3:03
The
3:03
brother
3:03
from
3:03
another
3:03
mother
3:04
across
3:04
the
3:04
Atlantic.
3:05
I
3:05
love
3:05
it
3:05
when
3:05
you're
3:05
on
3:06
the
3:06
show.
3:07
And
3:07
he's
3:07
kind
3:07
of
3:08
coming
3:08
into
3:08
European
3:09
season
3:09
as
3:09
well.
3:09
You're
3:09
coming
3:10
to
3:10
my
3:10
side
3:10
of
3:10
the
3:11
pond,
3:11
which
3:11
is
3:12
great.
3:12
Looking
3:12
forward
3:13
to
3:13
that.
3:14
Yeah,
3:14
it
3:14
is.
3:15
Yes.
3:15
We're
3:15
heading
3:15
out
3:15
there
3:16
next
3:16
week
3:16
and
3:16
then
3:16
we're
3:16
going
3:17
to
3:17
be
3:17
out
3:17
there
3:17
again
3:17
for
3:18
Shop
3:18
Talk
3:18
Europe,
3:19
right
3:19
at
3:19
the
3:19
beginning
3:20
of
3:20
June,
3:20
right,
3:20
Ben?
3:21
Yeah.
3:21
Second
3:21
to
3:22
the
3:22
fourth
3:22
of
3:22
June
3:22
in
3:23
glorious
3:23
Barcelona.
3:24
So
3:24
it's
3:24
coming
3:24
around
3:25
really
3:25
soon.
3:25
It's
3:25
going
3:25
to
3:25
be
3:26
our
3:26
third
3:27
year
3:27
in
3:27
Barcelona
3:27
now
3:28
as
3:28
biggest
3:28
Shop
3:29
Talk
3:29
Europe
3:29
yet.
3:30
So,
3:30
yeah,
3:30
looking
3:30
forward
3:30
to
3:31
seeing
3:31
you
3:31
and
3:32
lots
3:32
and
3:32
lots
3:32
of
3:33
our
3:33
community
3:33
then.
3:34
Yeah,
3:34
I
3:34
just
3:34
heard
3:34
this
3:35
morning,
3:35
4,500
3:36
attendees
3:37
planned.
3:37
Ben,
3:38
what
3:38
are
3:38
you
3:39
most
3:39
excited
3:39
about?
3:40
Yeah,
3:40
the,
3:41
the
3:41
proposition
3:41
of
3:41
the
3:41
show
3:42
is
3:42
very
3:42
much
3:43
unlimited
3:44
possibilities
3:44
and
3:44
unlimited
3:45
opportunities
3:46
in
3:46
European
3:46
retail
3:47
because
3:47
we
3:47
are,
3:48
you
3:48
know,
3:48
unfailingly
3:49
optimistic,
3:50
which
3:50
is
3:50
always
3:50
nice
3:50
at
3:50
the
3:51
moment.
3:52
Turn
3:52
the
3:52
news
3:53
off,
3:53
come
3:53
and
3:53
get
3:53
a
3:53
bit
3:53
of
3:53
optimism
3:54
for
3:54
a
3:54
few
3:54
days.
3:55
But
3:56
within
3:56
that,
3:57
we
3:58
think
3:58
we've
3:58
got
3:58
a
3:58
role
3:58
to
3:59
be
3:59
sort
3:59
of
3:59
your
3:59
guide,
4:00
your
4:00
guide
4:00
through
4:00
this
4:00
universe
4:01
of,
4:01
of
4:01
opportunities.
4:02
So
4:03
there'll
4:03
be
4:04
lots
4:04
around
4:05
retail
4:06
media.
4:06
We've
4:06
got
4:06
a
4:06
whole
4:07
afternoon
4:07
dedicated
4:07
to
4:08
retail
4:08
media.
4:08
We've
4:08
got
4:08
lots
4:09
about
4:09
the
4:09
physical
4:09
store
4:10
and
4:10
unlocking
4:10
physical
4:10
stores.
4:11
We've
4:11
got
4:11
search
4:12
and
4:12
discovery
4:13
and
4:13
we've
4:13
got
4:14
fantastic
4:15
meals,
4:15
meetings,
4:15
programs,
4:16
parties.
4:17
So,
4:17
yeah,
4:17
it's
4:18
going
4:18
to
4:18
be
4:18
a
4:18
really
4:18
good
4:19
few
4:19
days.
4:19
You
4:20
did
4:20
a
4:20
much
4:20
better
4:20
job
4:21
explaining
4:21
that,
4:21
Ben,
4:22
than
4:22
I
4:22
did
4:22
saying
4:23
center
4:23
of
4:23
the
4:23
universe.
4:24
So
4:24
thank
4:24
you.
4:25
It
4:25
will
4:25
all
4:26
become
4:26
clear.
4:27
Although
4:28
Barcelona
4:28
feels
4:28
like
4:28
the
4:29
center
4:29
of
4:29
the
4:29
universe.
4:29
I
4:29
was
4:29
with
4:30
my
4:30
buddies
4:30
at
4:30
the
4:30
Kentucky
4:30
Derby
4:31
this
4:31
weekend.
4:31
They
4:31
were
4:31
asking
4:32
me,
4:32
they're
4:32
like,
4:32
what's
4:32
your
4:32
favorite
4:33
conference
4:34
venue?
4:34
And
4:34
I,
4:35
it
4:35
was.
4:35
No
4:35
doubt
4:35
it
4:36
was
4:36
Barcelona.
4:37
I,
4:37
I
4:37
just
4:38
love
4:38
going
4:38
to
4:38
Barcelona
4:39
for
4:39
a
4:39
conference,
4:39
as
4:40
I
4:40
think
4:40
everyone.
4:41
Everyone
4:41
does,
4:42
right,
4:42
Ben?
4:43
Yeah,
4:43
it's
4:43
a
4:44
beautiful
4:44
place.
4:45
In
4:45
early
4:45
June
4:45
is
4:45
Barcelona
4:46
at
4:46
its
4:46
best?
4:47
Although,
4:47
you
4:47
know,
4:48
I'm
4:48
sorry
4:48
to
4:49
all
4:49
my
4:49
Catalan
4:50
friends,
4:50
I
4:50
think
4:50
Today's
4:51
a
4:51
national
4:51
day
4:51
of
4:51
Catalan
4:52
morning
4:52
after
4:52
Barcelona
4:53
knocked
4:53
out
4:54
of
4:54
the
4:54
the
4:55
Men's
4:55
Champions
4:55
League
4:56
last
4:56
night.
4:56
But
4:57
I
4:57
did,
4:57
I,
4:57
I
4:58
did
4:58
mess
4:59
friends
4:59
to
4:59
say,
4:59
don't
4:59
worry,
5:00
you're
5:00
going
5:00
to
5:00
win
5:00
the
5:00
Women's
5:01
Champions
5:01
League.
5:01
You'll
5:01
be
5:02
asked
5:02
in
5:02
the
5:02
final.
5:03
So
5:03
there
5:03
is,
5:03
there's
5:03
still
5:04
solace,
5:04
but
5:04
I
5:05
imagine
5:05
it's
5:05
quite
5:05
quiet
5:06
on
5:06
the
5:06
streets
5:06
of
5:07
a
5:07
Suran
5:07
blast
5:07
this
5:08
morning.
5:09
Thanks,
5:09
Ben.
5:09
All
5:09
our
5:10
Spanish
5:10
listeners
5:10
literally
5:11
just
5:11
turned
5:11
off
5:11
this
5:11
podcast
5:12
like,
5:12
I'm
5:13
done.
5:13
I
5:13
don't
5:13
want
5:13
the
5:14
memory
5:14
of,
5:14
of
5:15
the
5:15
bad
5:15
match
5:15
yesterday.
5:16
Pour
5:16
a
5:16
little
5:17
cava
5:17
out
5:17
for
5:17
them.
5:18
That's
5:18
fine,
5:18
that's
5:19
fine.
5:19
Well,
5:19
let's
5:19
get
5:20
to
5:20
today's
5:20
show.
5:20
But
5:21
before
5:21
we
5:21
get
5:21
started,
5:22
this
5:22
is
5:22
the
5:22
first
5:23
show
5:23
of
5:23
the
5:23
month,
5:23
which
5:23
means
5:24
it's
5:24
time
5:25
to
5:25
give
5:25
out
5:25
this
5:26
month's
5:26
Omnistar
5:27
for
5:27
those
5:27
new
5:27
to
5:28
the
5:28
podcast.
5:29
Our
5:29
Omnistar
5:29
award
5:30
is
5:30
the
5:30
award
5:30
we
5:30
give
5:30
out
5:31
each
5:31
month
5:31
in
5:31
partnership
5:31
with
5:32
Corso
5:32
to
5:33
recognize
5:33
the
5:33
top
5:33
omnichannel
5:34
operators
5:35
out
5:35
there.
5:35
Not
5:35
the
5:35
pundits,
5:36
not
5:37
the
5:37
so
5:37
called
5:37
experts,
5:38
but
5:38
the
5:38
real
5:39
life
5:39
retail
5:40
operators
5:40
making
5:41
a
5:41
difference
5:41
in
5:41
their
5:42
organizations.
5:42
Coro's
5:43
AI
5:43
co
5:44
pilot
5:44
coaches
5:44
retail
5:45
leaders
5:46
to
5:46
optimize
5:46
store
5:47
performance
5:47
at
5:47
every
5:48
level,
5:48
transform
5:49
retail
5:49
operations
5:50
from
5:50
data
5:50
overload
5:51
into
5:52
data
5:52
power.
5:53
This
5:53
month's
5:53
award
5:54
goes
5:54
to
5:55
Ray
5:55
Khalid,
5:56
the
5:56
store
5:57
manager
5:57
of
5:57
the
5:58
Mississauga
5:58
Ontario
5:59
Walmart
6:00
Canada
6:01
store
6:01
of
6:01
the
6:02
future.
6:02
And
6:03
I
6:03
got
6:03
to
6:03
meet
6:03
Ray
6:04
on
6:04
our
6:04
travels
6:04
to
6:04
Canada
6:05
just
6:05
a
6:05
few
6:05
weeks
6:05
ago
6:06
and
6:06
he
6:06
and
6:06
the
6:06
Walmart
6:07
team
6:07
were
6:08
so
6:08
gracious
6:08
in
6:09
showing
6:09
us
6:09
around
6:09
the
6:09
store.
6:10
And
6:10
Ray,
6:11
particularly
6:11
with
6:12
my
6:12
store
6:12
management
6:12
background,
6:13
impressed
6:13
me
6:14
with
6:14
his
6:14
knowledge
6:14
of
6:15
his
6:15
operation
6:15
overall
6:16
and
6:16
the
6:16
management
6:17
of
6:17
what
6:17
honestly
6:18
was
6:19
a
6:19
very,
6:19
very
6:20
large
6:20
scale
6:20
operation.
6:21
And
6:21
I
6:21
could
6:21
not
6:22
believe
6:22
how
6:23
many
6:23
people
6:23
were
6:23
inside
6:24
that
6:24
store
6:24
come
6:25
6pm
6:25
at
6:26
night.
6:26
It
6:26
was
6:27
insane.
6:27
An
6:28
intense
6:28
amount
6:28
of
6:28
traffic
6:29
and
6:29
Ray
6:30
had
6:30
it
6:30
all
6:30
dialed
6:30
in.
6:31
Yeah,
6:31
Ray,
6:32
you
6:32
are
6:32
amazing.
6:34
You
6:35
did
6:35
such
6:35
a
6:35
good
6:36
job
6:36
not
6:36
only
6:37
with
6:37
the
6:37
operations
6:38
part
6:38
of
6:38
the
6:38
store,
6:39
but
6:39
you
6:39
can
6:39
just
6:39
tell
6:40
how
6:40
well
6:41
respected
6:41
you
6:42
are
6:42
with
6:42
your
6:43
team.
6:43
I
6:43
mean,
6:43
everybody
6:44
that
6:44
we
6:44
came
6:44
across
6:45
in
6:45
that
6:45
store
6:46
and
6:46
just
6:47
in
6:47
sitting
6:47
down
6:48
and
6:48
really
6:48
talking
6:48
with
6:48
him,
6:49
he
6:49
really
6:49
is
6:49
invested
6:50
in
6:50
not
6:51
only
6:51
making
6:51
sure
6:51
that
6:51
the
6:51
store
6:52
is
6:52
running
6:52
correctly,
6:52
but
6:53
that
6:53
each
6:53
of
6:53
the,
6:54
the
6:54
teammates
6:55
in
6:55
that
6:55
store
6:55
feel
6:56
valued,
6:57
feel
6:57
that
6:57
their
6:57
role
6:58
is
6:58
important.
6:58
And
6:59
he
6:59
does
6:59
everything
7:00
he
7:00
can
7:00
to
7:00
make
7:01
sure
7:01
that
7:01
he
7:01
is
7:01
available
7:02
and
7:02
accessible
7:03
to
7:03
them
7:03
with
7:03
whatever
7:04
they
7:04
need.
7:05
When
7:05
you
7:05
have
7:06
that
7:06
much
7:06
traffic
7:06
going
7:07
through
7:07
the
7:07
store,
7:07
Chris,
7:08
that's,
7:08
that's
7:09
got
7:09
to
7:09
be
7:09
a
7:09
welcomed
7:10
relief
7:10
for
7:10
all
7:10
those
7:11
teammates.
7:12
Yeah,
7:12
and
7:12
the
7:12
dude's
7:12
got
7:13
a
7:13
second
7:13
job.
7:13
His
7:13
second
7:14
job
7:14
is
7:14
giving
7:14
store
7:15
tours
7:15
to
7:15
executives
7:16
and,
7:17
and,
7:17
you
7:17
know,
7:18
geeks
7:18
like
7:19
us
7:19
too.
7:19
And
7:19
if
7:19
you
7:20
haven't
7:20
seen
7:20
our
7:20
video
7:20
yet,
7:21
you
7:21
should
7:21
check
7:21
it
7:21
out.
7:21
I
7:21
think
7:22
it's
7:22
got
7:22
almost
7:22
50,
7:22
000
7:23
views
7:23
on
7:23
YouTube
7:23
of
7:24
the
7:24
Canadian
7:25
Walmart
7:26
store
7:26
the
7:26
Future.
7:26
It's
7:26
very
7:27
worth
7:27
checking
7:27
out
7:27
and
7:28
it
7:28
might
7:28
come
7:29
up
7:29
in
7:29
today's
7:29
conversation
7:30
as
7:30
well,
7:31
because
7:31
in
7:31
today's
7:32
fast
7:32
five,
7:32
we've
7:32
got
7:33
news
7:33
on
7:33
Walmart
7:34
US
7:35
Store
7:35
the
7:36
Future
7:36
in
7:36
Texas.
7:37
See,
7:37
I
7:37
told
7:37
you,
7:37
folks.
7:38
A
7:38
major
7:38
UK
7:39
supermarket
7:40
market's
7:40
introduction
7:41
of
7:41
robots
7:42
into
7:42
its
7:42
operation.
7:43
Pinterest
7:44
supposed
7:45
emergence
7:45
as
7:45
a
7:46
search
7:46
engine.
7:47
Lowe's
7:47
rolling
7:47
out
7:48
AI
7:48
assistance
7:49
for
7:49
store
7:49
associates
7:50
and
7:50
infios.
7:51
Omar
7:51
Akilah,
7:52
a
7:52
good
7:52
friend
7:53
of
7:53
ours,
7:53
stops
7:54
by
7:54
for
7:54
five
7:54
insightful
7:55
minutes
7:55
on
7:56
how
7:56
AI
7:57
will
7:57
impact
7:57
order
7:58
management
7:58
system
7:59
design.
8:00
But
8:00
we
8:00
begin
8:01
today
8:01
with
8:02
what
8:02
was
8:02
just,
8:02
I
8:02
can't
8:03
think
8:03
of
8:03
a
8:03
better
8:03
word
8:03
to
8:03
say
8:04
than
8:04
just
8:04
wild
8:05
news
8:05
out
8:05
of
8:06
Amazon
8:06
and
8:07
Sachs.
8:07
And
8:08
yes,
8:08
Ben,
8:09
Chris,
8:09
headline
8:10
number
8:10
one.
8:10
Amazon
8:11
and
8:11
Saks
8:12
Fifth
8:12
Avenue
8:12
have
8:12
launched
8:13
in
8:13
a
8:14
luxury
8:14
e
8:15
commerce
8:15
storefront.
8:16
According
8:17
to
8:17
Retail
8:17
Dive.
8:17
The
8:17
new
8:18
shopping
8:18
section
8:18
is
8:18
called
8:19
Luxury
8:19
Stores
8:20
at
8:20
Amazon.
8:20
It
8:21
features
8:21
a
8:21
selection
8:22
of
8:22
merchandise
8:22
curated
8:22
by
8:23
Saks
8:23
Fifth
8:23
Avenue,
8:24
including
8:24
women's
8:24
and
8:25
men's
8:25
ready
8:25
to
8:25
wear
8:26
beauty,
8:26
shoes,
8:27
handbags
8:27
and
8:28
accessories.
8:29
Merchandise
8:30
is
8:30
available
8:30
through
8:31
Amazon's
8:31
app
8:32
and
8:32
website.
8:33
The
8:33
launch
8:34
is
8:34
accompanied
8:34
by
8:35
specially
8:35
designed
8:36
digital
8:36
displays
8:37
inspired
8:37
by
8:37
the
8:37
windows
8:38
of
8:38
Saks
8:38
Fifth
8:39
Avenue's
8:39
New
8:39
York
8:39
flagship
8:40
ship.
8:40
And
8:40
the
8:40
online
8:41
storefront
8:41
is
8:41
also
8:42
being
8:42
promoted
8:43
via
8:43
a
8:43
window
8:44
installation
8:44
at
8:45
the
8:45
Saks
8:45
Fifth
8:45
Avenue
8:46
New
8:46
York
8:46
flagship
8:46
store.
8:48
Ben,
8:48
we're
8:48
going
8:48
to
8:48
go
8:48
to
8:48
you
8:49
first,
8:49
our
8:50
guest
8:51
today.
8:51
Did
8:52
Saks
8:52
just
8:52
signal
8:53
its
8:53
ultimate
8:53
demise
8:54
with
8:54
the
8:54
new
8:55
Amazon
8:55
partnership,
8:56
or
8:56
do
8:56
you
8:56
think
8:56
the
8:56
partnership
8:57
is
8:57
the
8:57
right
8:57
move
8:58
to
8:58
make?
8:59
Thank
9:00
you.
9:00
And
9:00
I
9:00
think
9:01
there's
9:01
two
9:02
perspectives
9:02
on
9:02
this.
9:03
There
9:03
is.
9:03
There's
9:03
the
9:03
Amazon
9:04
perspective
9:04
and
9:04
the
9:04
Sax
9:05
perspective.
9:06
Yeah.
9:07
So
9:08
let's
9:08
do
9:08
Amazon
9:09
first.
9:11
Okay.
9:11
So
9:11
who
9:12
wouldn't
9:12
want
9:12
luxury
9:12
consumers
9:13
on
9:13
the
9:13
platform?
9:14
High
9:15
spenders,
9:16
high
9:16
net
9:16
value,
9:17
high
9:17
margin
9:18
goods.
9:18
And
9:19
it's
9:19
something
9:19
that
9:19
Amazon
9:19
has
9:19
been
9:20
trying
9:20
to
9:20
do
9:20
for
9:20
a
9:20
while.
9:21
They've
9:22
had
9:22
these
9:22
kind
9:22
of
9:22
luxury
9:23
stores
9:23
since
9:24
about
9:24
2020
9:25
and
9:26
there's
9:26
been
9:26
really
9:26
limited
9:27
traction
9:28
to
9:28
this.
9:28
And
9:30
somebody
9:30
said
9:30
to
9:31
me
9:31
the
9:31
other
9:31
day,
9:31
which
9:32
really
9:32
resonated.
9:33
They
9:33
were
9:33
talking
9:33
about
9:34
luxury
9:34
retail
9:34
and
9:35
they
9:35
said
9:35
to
9:35
me,
9:35
luxury
9:36
retail
9:36
is
9:36
the
9:37
game
9:37
of
9:37
making
9:38
people
9:38
want
9:39
things
9:39
they
9:40
really
9:40
don't
9:40
need.
9:41
Which
9:42
I
9:42
thought
9:42
was
9:42
great.
9:43
And
9:43
that's
9:44
absolutely
9:44
not
9:45
what
9:45
Amazon
9:45
is
9:45
designed
9:46
for.
9:47
That's
9:47
the
9:47
antithesis
9:48
of
9:48
Amazon.
9:49
So
9:50
there's
9:50
always
9:50
been
9:50
a
9:50
mismatch.
9:51
So
9:51
for
9:51
Amazon
9:52
bringing
9:53
the
9:53
Saks
9:53
brand
9:54
onto
9:54
the
9:54
platform
9:55
and
9:56
crucially
9:56
getting
9:56
access
9:57
to
9:57
their
9:57
supplier
9:58
relations,
10:00
that's
10:00
a
10:01
win.
10:02
And
10:02
that
10:02
win
10:03
for
10:03
them
10:03
is
10:03
probably
10:04
what
10:04
led
10:04
them
10:04
to
10:05
invest
10:05
in
10:05
this
10:06
new
10:06
Sax
10:06
Global
10:07
formation
10:07
last
10:08
summer.
10:08
And
10:08
ever
10:09
since
10:09
they
10:09
did
10:10
that,
10:10
this
10:10
move
10:11
has
10:11
felt
10:11
pretty
10:12
inevitable.
10:12
So,
10:14
and
10:14
that
10:15
in
10:15
that
10:15
context
10:15
is
10:15
really
10:16
important
10:16
because
10:16
Amazon,
10:17
along
10:17
with
10:18
Salesforce
10:18
and
10:19
Authentic
10:19
Brands
10:20
Group
10:20
helped
10:20
finance
10:22
Saks
10:22
the
10:22
acquisition
10:23
of
10:23
Neiman
10:24
Marcus.
10:24
So
10:24
they
10:24
helped
10:25
finance
10:26
the
10:26
creation
10:26
of
10:26
Saks
10:27
Global.
10:27
And
10:28
I
10:28
think
10:28
that's
10:28
the
10:29
rub.
10:30
Yeah,
10:30
really,
10:31
if
10:31
you
10:31
start
10:31
going
10:31
from
10:32
the
10:32
Saks
10:32
perspective,
10:33
there's
10:33
been
10:33
so
10:33
much
10:34
coverage
10:34
about
10:34
this
10:35
acquisition
10:35
we
10:36
could,
10:36
I'm
10:36
sure
10:36
we
10:36
could
10:36
do
10:37
a
10:37
podcast
10:37
series
10:37
in
10:38
its
10:38
own
10:38
right.
10:39
But
10:39
yeah,
10:40
I
10:40
think,
10:40
I
10:40
think
10:41
everybody's
10:41
aware
10:41
it's
10:42
not
10:42
going
10:42
very
10:42
well.
10:43
It's
10:43
got
10:43
a
10:43
huge
10:44
amount
10:44
of
10:44
debt.
10:45
It's
10:45
raised
10:46
over
10:46
2
10:47
billion
10:47
in
10:47
junk
10:47
bonds
10:48
to
10:48
finance
10:48
the
10:48
acquisition.
10:49
He's
10:49
got
10:49
a
10:49
really
10:49
large
10:50
debt
10:50
repayment
10:51
coming
10:51
up
10:51
soon.
10:52
So
10:52
you
10:52
know,
10:52
Cash
10:53
Sachs
10:53
has
10:54
to
10:54
find
10:54
the
10:54
cash
10:54
flow
10:55
to
10:55
be
10:55
able
10:55
to
10:55
make
10:55
that
10:56
payment
10:57
and
10:58
he's
10:58
got
10:58
to
10:58
keep
10:58
Amazon,
10:59
one
10:59
of
10:59
his
10:59
big
10:59
investors
11:00
on
11:00
side.
11:01
And,
11:01
and
11:01
I
11:02
think
11:02
when
11:02
you
11:02
strip
11:02
it
11:02
all
11:03
back,
11:03
I
11:03
think
11:03
that's
11:04
what's
11:04
driving
11:05
this
11:05
activity
11:06
above
11:07
anything
11:07
else.
11:08
Interesting.
11:09
So
11:09
you,
11:10
so
11:10
you
11:11
think
11:11
there's
11:11
no
11:12
value?
11:12
If
11:13
I'm
11:13
reading
11:13
between
11:14
the
11:14
lines,
11:14
you
11:14
don't
11:14
think
11:14
there's
11:15
value
11:15
from
11:15
a
11:15
consumer
11:16
perspective.
11:16
You
11:16
just
11:16
think
11:17
you,
11:17
you
11:17
think
11:17
that
11:18
it's,
11:18
they're
11:18
not
11:18
going
11:18
to
11:18
be
11:19
going
11:19
to
11:19
Amazon
11:19
for
11:19
luxury.
11:20
That's,
11:20
that's
11:21
just,
11:21
this
11:22
is
11:22
a,
11:22
this
11:22
is
11:22
a
11:22
move
11:23
to
11:23
pacify
11:24
investors,
11:25
not
11:25
so
11:25
much
11:26
or
11:26
keep
11:27
the
11:27
peace,
11:27
not
11:27
so
11:27
much
11:28
for
11:29
the
11:29
consumer.
11:30
I
11:30
think
11:30
the
11:30
rationale
11:31
is
11:31
really
11:31
strong
11:31
for
11:32
why
11:32
Amazon
11:33
would
11:33
want
11:33
to
11:33
try
11:33
and
11:33
make
11:34
this
11:34
happen.
11:34
I
11:35
think
11:35
it's
11:36
really
11:37
challenging
11:37
to
11:37
see
11:38
why
11:38
from
11:38
a
11:38
Sax
11:39
perspective.
11:40
Yeah,
11:40
yeah,
11:40
that
11:41
makes
11:41
sense.
11:41
Chris,
11:41
where
11:42
do
11:42
you
11:42
land
11:42
on
11:42
this?
11:42
What
11:42
are
11:43
your
11:43
thoughts?
11:43
Yeah,
11:43
I
11:43
mean
11:44
a
11:44
couple
11:44
of
11:44
thoughts.
11:44
On
11:44
what,
11:45
on
11:45
what
11:45
Ben's,
11:46
what
11:46
Ben
11:46
said
11:46
and
11:46
then
11:47
kind
11:47
of
11:47
add
11:47
my
11:47
own
11:47
twist
11:48
to
11:48
it
11:48
too.
11:48
I
11:48
think,
11:48
you
11:48
know,
11:49
for
11:49
Amazon
11:50
it's
11:50
kind
11:50
of
11:50
a
11:50
no
11:50
brainer
11:51
in
11:51
a
11:51
way,
11:51
but
11:51
I
11:52
would
11:52
caution
11:52
the
11:53
idea
11:53
of
11:53
Amazon
11:54
being
11:54
able
11:54
to
11:54
get
11:55
all
11:55
the
11:55
brands
11:56
under
11:56
the
11:56
Saks
11:56
umbrella
11:57
onto
11:57
the
11:57
platform
11:58
because
11:58
the
11:58
brands
11:59
still
11:59
have
11:59
to
11:59
give
11:59
permission
11:59
to
12:00
sell.
12:00
And
12:00
I
12:01
lived
12:01
through
12:01
that
12:01
at
12:01
Target
12:02
when
12:02
we,
12:02
we
12:02
acquired
12:03
some
12:03
high
12:03
end
12:03
cooking
12:04
online
12:04
websites
12:05
with
12:05
the
12:05
idea
12:05
or
12:05
the
12:05
premise
12:06
that
12:06
we
12:06
would
12:06
get
12:07
access
12:07
to
12:07
their
12:07
brands,
12:07
which
12:08
turned
12:08
out
12:08
not
12:09
to
12:09
be
12:09
true.
12:10
We
12:10
saw
12:10
the
12:10
same
12:10
thing
12:10
with
12:11
Moosejaw
12:11
and
12:11
Walmart,
12:12
the
12:12
kerfuffle
12:13
that
12:13
they
12:13
had
12:13
trying
12:13
to
12:14
do
12:14
the
12:14
same
12:14
thing.
12:14
It
12:14
just
12:15
doesn't
12:15
happen
12:15
that
12:16
way
12:16
as
12:16
much
12:16
as
12:17
people
12:17
want
12:17
to
12:17
think
12:17
that
12:17
it
12:18
does.
12:19
So
12:19
but
12:19
you
12:19
know,
12:19
for
12:19
Amazon.
12:20
So
12:20
like
12:20
let's
12:20
try
12:21
it.
12:21
But
12:21
the
12:21
other
12:21
point
12:21
I
12:21
would
12:21
make
12:22
on
12:22
the
12:22
sex
12:22
side
12:23
for
12:23
on
12:23
the
12:23
investor
12:24
side,
12:24
this
12:24
movie,
12:25
I
12:25
mean
12:25
this
12:25
thing
12:25
is
12:25
just
12:26
silly.
12:26
I
12:26
mean
12:26
to
12:26
me
12:26
it's
12:27
like
12:27
signals
12:27
the
12:27
death
12:28
knell
12:28
of
12:28
eventually
12:29
sacks.
12:29
Because
12:30
the
12:30
most
12:30
ridiculous
12:31
part
12:31
of
12:31
the
12:31
announcement
12:32
to
12:32
me
12:33
is
12:33
that
12:33
someone
12:33
at
12:34
Sachs
12:34
actually
12:34
thinks
12:35
it
12:35
makes
12:35
sense
12:36
to
12:36
use
12:36
the
12:36
windows
12:37
along
12:37
fifth
12:38
Avenue
12:39
to
12:39
advertise
12:40
this.
12:40
It's
12:40
like
12:40
don't
12:41
come
12:41
into
12:41
our
12:41
store.
12:42
Everyone
12:42
walking
12:42
by
12:43
on
12:43
the
12:43
greatest
12:44
shopping
12:44
street
12:44
in
12:45
America.
12:45
You
12:46
know,
12:46
you
12:46
could
12:47
just
12:47
go
12:47
to
12:47
get
12:47
the
12:47
goods
12:48
on
12:48
Amazon.
12:48
I
12:49
mean
12:49
that
12:49
is
12:49
just
12:50
absolutely
12:51
asinine
12:52
when
12:52
I
12:52
say
12:52
that
12:52
out
12:52
loud.
12:53
I
12:53
mean
12:53
you
12:53
guys
12:53
have
12:54
to
12:54
agree
12:54
with
12:54
that.
12:54
I
12:54
think
12:55
so.
12:55
I
12:55
don't
12:55
know.
12:56
It's
12:56
driving
12:56
awareness,
12:57
right?
12:57
Like
12:57
it's,
12:58
it's
12:58
awareness
12:58
to
12:59
consumers
12:59
that
12:59
you
13:00
could
13:00
that
13:00
now
13:01
they
13:01
are
13:01
available.
13:01
Awareness
13:02
of
13:02
the
13:02
death
13:02
of
13:03
your
13:03
business
13:03
model.
13:03
Like
13:04
if
13:04
people
13:04
start
13:04
to
13:04
do
13:05
that,
13:05
your
13:05
stores
13:06
are
13:06
going
13:06
to
13:06
become
13:06
obsoleted
13:07
that
13:07
quickly.
13:08
And
13:08
so
13:08
it
13:08
just
13:08
goes
13:09
back
13:09
to
13:09
my
13:09
point
13:09
again
13:10
of
13:10
barring
13:11
a
13:11
few
13:11
exceptions,
13:12
department
13:12
stores
13:12
are
13:13
the
13:13
21st
13:14
century
13:14
retail
13:14
equivalent
13:15
of
13:15
the
13:15
horse
13:15
and
13:15
buggy.
13:16
They're
13:16
going
13:16
away.
13:16
And
13:17
this
13:17
is
13:17
just
13:17
a
13:17
further
13:18
example
13:18
of
13:18
it.
13:18
And
13:19
man,
13:19
I
13:19
think
13:19
the
13:19
proof's
13:20
in
13:20
the
13:20
pudding.
13:21
I
13:21
think
13:21
that's
13:21
a
13:21
really
13:22
interesting
13:22
point
13:23
around
13:23
the
13:24
department
13:24
store
13:24
model.
13:25
And
13:26
I
13:26
think
13:26
the
13:26
exception
13:26
to
13:27
that
13:27
is
13:27
the
13:27
success
13:28
that
13:28
Nordstrom's
13:29
having.
13:30
And
13:30
right.
13:31
Not
13:31
Nordstrom
13:32
is
13:32
having
13:32
because
13:32
it
13:33
recognizes
13:34
that
13:35
at
13:35
the
13:35
moment
13:36
to
13:36
sell
13:37
luxury
13:38
you
13:38
need
13:39
experience,
13:40
you
13:40
need
13:41
personal
13:41
selling.
13:42
You
13:42
know
13:42
there
13:43
is,
13:43
Yeah,
13:44
I
13:44
think
13:44
there's
13:44
lots
13:45
of
13:45
stories
13:45
about
13:45
the
13:46
number
13:46
one
13:46
personal
13:47
seller
13:47
in
13:47
the
13:47
Neiman
13:48
Marcus
13:48
estate
13:48
having
13:49
moved
13:49
to
13:50
Nordstrom
13:51
and
13:51
taken
13:51
her
13:52
account
13:53
book
13:53
with
13:54
her
13:54
and
13:55
she's
13:55
turning
13:55
over
13:55
the
13:56
equivalent
13:56
of
13:56
a,
13:57
of
13:57
a
13:57
department
13:57
store
13:58
on
13:58
a.
13:58
On
13:58
her
13:58
own
13:58
through
13:59
personal
13:59
selling.
14:00
So
14:00
is
14:00
this
14:01
ultra
14:01
high
14:01
end
14:02
market
14:02
whereby
14:02
a
14:03
physical
14:03
environment
14:04
of
14:04
departments
14:05
of
14:05
curated
14:05
products
14:06
really
14:06
resonates
14:07
now
14:08
as
14:09
the
14:10
economies
14:11
contract,
14:14
is
14:14
price
14:14
and
14:15
convenience
14:15
going
14:15
to
14:15
become
14:16
more
14:16
compelling
14:16
to
14:17
consumers
14:17
and
14:17
more
14:17
compelling
14:18
for
14:18
brands
14:18
of
14:18
route
14:19
to
14:19
get
14:19
there?
14:19
Possibly.
14:20
Does
14:21
luxury
14:21
have
14:21
a
14:21
level
14:22
of
14:24
protection
14:24
from
14:25
that?
14:25
Possibly.
14:26
But
14:26
I
14:26
think
14:27
there
14:27
is
14:27
still
14:27
a
14:27
role
14:27
to
14:28
play
14:28
for
14:28
that
14:28
connection,
14:29
that
14:29
experience.
14:30
You've
14:30
just
14:30
got
14:30
to
14:30
look
14:30
at
14:30
the
14:31
buzz
14:31
of
14:31
the
14:31
print
14:32
store
14:32
in
14:32
New
14:32
York,
14:33
create
14:33
experience
14:34
and
14:34
you
14:34
can
14:35
sell
14:35
luxury.
14:36
So
14:36
I'm
14:36
not,
14:36
I'm
14:36
not
14:36
quite
14:37
sure
14:37
that
14:37
the
14:37
department
14:38
store
14:38
in
14:38
luxury
14:39
isn't
14:39
the
14:39
right
14:39
thing
14:40
to
14:40
do.
14:40
I'm
14:41
not
14:41
sure
14:41
that
14:41
Saxon
14:42
necessarily
14:42
taking
14:43
the
14:43
right
14:43
route
14:43
to
14:43
unlock
14:44
it.
14:44
Yeah,
14:45
right.
14:45
You
14:45
have
14:45
to
14:45
position
14:46
it
14:46
that
14:46
way.
14:46
That's
14:46
why
14:46
I
14:46
said,
14:47
barring
14:47
few
14:47
exceptions,
14:48
for
14:48
the
14:48
most
14:49
part,
14:49
it's
14:49
going
14:50
away.
14:50
Just
14:50
like
14:50
there's
14:51
still
14:51
horse
14:51
and
14:51
buggies
14:52
riding
14:52
around
14:52
Central
14:52
park
14:53
if
14:53
you
14:53
do
14:53
it
14:54
right.
14:54
Right.
14:54
You
14:55
know,
14:55
like
14:55
you
14:55
have
14:55
to
14:56
position
14:56
the
14:56
store
14:57
experience
14:57
in
14:57
the
14:58
right
14:58
way.
14:58
And
14:59
this
14:59
particularly
15:00
putting
15:00
the
15:01
devoting
15:01
your
15:02
windows
15:02
to
15:02
selling
15:02
on
15:03
Amazon
15:03
is
15:03
not
15:04
that.
15:04
I
15:05
don't
15:05
know,
15:05
guys.
15:05
I'm
15:05
going
15:06
to
15:06
come
15:06
in
15:06
here
15:06
with
15:06
a
15:07
different
15:07
perspective.
15:08
I
15:09
think
15:09
that
15:10
on
15:10
one
15:10
hand,
15:10
I
15:10
totally
15:11
agree.
15:11
Like
15:12
the
15:12
department
15:12
store
15:13
as
15:13
we
15:13
know
15:14
needs
15:14
to
15:15
evolve
15:15
or
15:15
it's
15:15
going
15:16
to
15:16
die.
15:16
And
15:17
does
15:17
this
15:17
Amazon
15:18
connection
15:18
dilute
15:19
the
15:19
Sam's,
15:20
the
15:20
Saks
15:21
brand
15:21
a
15:21
little
15:21
bit?
15:22
Maybe.
15:22
But
15:23
I
15:23
do
15:23
think
15:23
that
15:24
there's
15:24
an
15:24
important
15:24
thing
15:25
to
15:25
call
15:25
out
15:25
here
15:26
and
15:26
that
15:26
is
15:26
that
15:27
we've
15:28
said
15:28
that
15:28
it's
15:28
okay
15:28
for
15:29
Walmart.com
15:30
to
15:30
sell
15:30
luxury,
15:31
but
15:31
now
15:31
we're
15:31
saying
15:32
it's
15:32
not
15:32
okay
15:32
for
15:32
Amazon.com
15:33
to
15:33
sell
15:34
luxury.
15:34
I
15:34
think
15:34
there's
15:34
a
15:35
major
15:35
disconnect
15:36
there
15:36
because
15:37
I
15:37
think
15:37
when
15:37
you
15:38
think
15:38
about.
15:38
How
15:38
people
15:39
are
15:39
selling,
15:39
that's
15:39
a
15:39
different
15:40
question.
15:40
But
15:40
that's,
15:40
that's
15:41
from
15:41
a
15:41
different
15:41
starting
15:41
point
15:42
and
15:42
that's,
15:42
that's
15:43
Walmart
15:43
selling
15:44
luxury,
15:44
having
15:44
access
15:45
to
15:45
luxury.
15:45
That's
15:45
different
15:46
than.
15:46
Then
15:46
that's
15:47
to
15:47
the
15:47
point
15:47
about
15:47
Amazon.
15:48
Yeah,
15:48
it
15:48
makes
15:48
sense
15:48
for
15:48
Amazon.
15:49
But
15:50
you
15:50
know,
15:50
for
15:50
the,
15:51
for
15:51
the
15:51
point
15:51
of
15:51
Saks,
15:52
that's
15:53
Saks
15:53
going
15:53
on.
15:54
Amazon
15:54
is
15:54
different
15:55
than
15:55
the
15:55
Walmart
15:55
example.
15:56
There's
15:56
still
15:56
a
15:57
point
15:57
of
15:57
Saks
15:58
going
15:58
on
15:58
this
15:59
to
15:59
keep
15:59
their
16:00
business
16:00
model
16:01
alive.
16:01
The
16:02
convenience
16:02
stuff
16:03
is,
16:03
is
16:03
number
16:04
one
16:04
here
16:04
because
16:04
if
16:05
you
16:05
still
16:05
order
16:05
something
16:05
from
16:06
Saks,
16:06
from
16:07
Nordstrom,
16:07
from
16:07
any
16:08
of
16:08
these
16:08
retailers,
16:09
the
16:09
shipping,
16:10
you
16:10
know,
16:10
for
16:11
me
16:11
to
16:11
cover
16:11
shipping,
16:12
even
16:12
when
16:12
I'm
16:12
spending
16:13
a
16:13
certain
16:13
amount
16:14
of
16:14
money
16:14
to
16:14
get
16:14
free
16:15
shipping,
16:15
it
16:15
still
16:15
takes,
16:16
I'm
16:16
still
16:16
waiting
16:17
a
16:17
week
16:17
for
16:17
an
16:18
order
16:18
from
16:18
Nordstrom,
16:19
for
16:19
example.
16:20
Now
16:20
I
16:20
can
16:20
go
16:21
on.
16:21
If
16:21
I'm
16:21
a
16:22
luxury
16:22
shopper,
16:22
I've
16:23
already
16:23
been
16:23
in
16:23
the
16:23
store,
16:24
I
16:24
know
16:24
what
16:24
handbag
16:25
I
16:25
want,
16:25
if
16:25
I
16:26
want
16:26
that
16:26
delivered
16:26
to
16:27
me
16:27
or
16:27
that
16:28
dress
16:28
delivered
16:28
to
16:29
me
16:29
for
16:29
an
16:29
event
16:29
the
16:29
next
16:30
day.
16:30
And
16:30
I
16:31
already
16:31
have
16:31
all
16:32
of
16:32
my
16:32
Amazon
16:32
information
16:33
there
16:33
and
16:33
I
16:33
can
16:33
get
16:33
it
16:34
in
16:34
one
16:34
day.
16:34
I
16:35
think
16:35
there's
16:35
value
16:36
to
16:36
that.
16:36
And
16:37
that's
16:37
not
16:37
something
16:38
that
16:38
with
16:38
the
16:38
current
16:39
Sax
16:39
model
16:39
They're
16:40
able
16:40
to
16:40
deliver
16:41
on.
16:41
Second,
16:42
I
16:42
think
16:42
when
16:42
it
16:43
does
16:43
come
16:43
to
16:44
searching
16:44
for
16:44
something
16:45
like
16:45
yesterday,
16:46
I'm
16:46
looking
16:46
for
16:47
basic
16:47
black
16:48
T
16:48
shirts,
16:48
but
16:48
I
16:48
want
16:49
a
16:49
high
16:49
quality
16:49
black
16:50
T
16:50
shirt.
16:50
When
16:50
you
16:50
start
16:51
to
16:51
think
16:51
about
16:51
things
16:51
like
16:52
Rufus,
16:52
that
16:53
Amazon's
16:53
deployed
16:54
where
16:54
I
16:54
can
16:54
have
16:54
an
16:54
engaging
16:55
conversation
16:55
with
16:56
somebody.
16:56
So
16:57
the
16:57
new
16:57
version,
16:58
the,
16:58
the
16:59
like
16:59
now
16:59
version
17:00
of
17:00
what
17:00
that
17:00
sales
17:01
associate
17:01
was
17:01
able
17:02
to
17:02
help
17:02
me
17:02
with
17:02
online
17:03
in
17:03
a
17:04
store,
17:04
when
17:04
you
17:05
think
17:05
about
17:05
how
17:05
that's
17:05
happening
17:06
on
17:06
Amazon
17:06
and
17:07
now
17:07
I
17:07
can
17:07
be
17:07
served
17:07
up
17:08
not
17:08
just
17:08
Amazon
17:09
essentials
17:09
T
17:09
shirts,
17:10
but
17:10
I
17:10
can
17:11
also
17:11
say,
17:11
you
17:11
know,
17:12
Rufus,
17:12
I
17:12
want
17:12
something
17:13
that's
17:13
a
17:13
little
17:13
bit
17:13
more
17:13
high
17:13
quality
17:14
and
17:14
maybe
17:14
I'm
17:15
getting
17:15
a
17:16
James
17:16
Purse
17:17
T
17:17
shirt
17:17
that
17:17
I
17:17
would
17:17
only
17:18
be
17:18
able
17:18
to
17:18
get
17:19
if
17:19
Saks
17:20
is
17:20
on
17:20
the
17:20
Amazon
17:21
platform.
17:21
So
17:21
I,
17:21
I
17:22
do
17:22
think
17:22
that
17:22
there's
17:23
value
17:23
and
17:24
this
17:24
is
17:24
Saks
17:25
and
17:25
Amazon
17:26
kind
17:26
of
17:26
evolving
17:27
together
17:27
into
17:28
the
17:28
new
17:28
definition
17:29
of
17:29
selling
17:30
luxury.
17:30
Wow,
17:31
we're
17:31
starting
17:31
off
17:31
hot
17:31
today.
17:32
So
17:32
shots
17:32
fired
17:33
there.
17:33
But
17:33
okay,
17:34
I'm
17:34
going
17:34
to
17:34
refute
17:34
the
17:34
point
17:35
on
17:35
two
17:35
things.
17:35
The
17:35
first
17:35
part
17:36
of
17:36
that,
17:36
just
17:36
use
17:37
by
17:37
with
17:37
Prime.
17:37
Then
17:37
why
17:38
do
17:38
you
17:38
have
17:38
to
17:38
do
17:38
all
17:38
this?
17:38
Like
17:39
you
17:39
could
17:39
get
17:39
all
17:39
those
17:39
shipping
17:40
benefits
17:40
just
17:40
by
17:40
linking
17:41
up
17:41
with
17:41
Buy
17:41
with
17:41
Prime.
17:42
You
17:42
could,
17:42
but
17:42
I
17:42
think
17:43
that
17:43
assumes
17:43
that
17:43
people
17:43
are
17:44
going
17:44
directly
17:44
to
17:45
Saks.com
17:45
which
17:46
we
17:46
know
17:46
they
17:46
aren't
17:47
going
17:47
Saks.com
17:48
as
17:48
frequently
17:49
and
17:49
they're
17:49
going
17:49
to
17:50
Amazon.
17:50
But
17:51
that
17:51
was
17:51
the
17:51
premise
17:52
of
17:52
what
17:52
you
17:52
said.
17:52
Like
17:52
they
17:52
can't,
17:53
they're
17:53
shopping
17:53
there
17:53
and
17:53
they're
17:54
not
17:54
confident
17:54
in
17:54
the
17:54
delivery
17:55
and
17:55
the
17:55
experience.
17:55
So
17:55
okay,
17:56
then
17:56
get
17:56
confidence
17:56
in
17:57
the
17:57
delivery
17:57
experience
17:57
by
17:57
leaning
17:58
on
17:58
with
17:58
Buy
17:58
Prime.
17:58
But
17:59
then
17:59
the
17:59
second
17:59
point
18:00
is
18:00
you're
18:00
thinking
18:01
about
18:01
this
18:01
in
18:01
isolation.
18:02
You
18:02
have
18:02
to
18:02
remember
18:02
too
18:02
that
18:03
Amazon
18:03
already
18:04
has
18:04
items
18:05
available
18:05
from
18:06
these
18:06
brands
18:06
on
18:07
their
18:07
website.
18:07
So
18:07
this
18:07
isn't
18:08
changing
18:08
the
18:08
experience.
18:09
Not
18:09
all
18:09
of
18:09
the
18:09
brands.
18:10
Well,
18:11
the,
18:11
the
18:11
brands.
18:12
Anyone
18:12
that
18:12
wants
18:12
to
18:12
put
18:13
a
18:13
brand
18:13
on
18:13
the
18:13
website
18:13
as
18:14
a
18:14
third
18:14
party
18:14
seller
18:14
can
18:15
do
18:15
that
18:15
and
18:15
that's
18:15
been
18:16
a
18:16
problem
18:16
on
18:16
Amazon
18:17
for
18:17
years.
18:17
So.
18:18
So
18:18
the
18:18
search
18:19
experience
18:19
is
18:19
not
18:19
really
18:20
going
18:20
to
18:20
be
18:20
augmented
18:21
by
18:21
this
18:21
in
18:21
any
18:21
way,
18:22
shape
18:22
or
18:22
form
18:22
as
18:23
well.
18:23
So.
18:23
All
18:24
right,
18:24
headline
18:24
number
18:24
two.
18:25
Walmart
18:25
has
18:26
debuted
18:26
a
18:26
new
18:26
store
18:27
of
18:27
the
18:27
future
18:27
down
18:28
in
18:28
Texas.
18:28
According
18:29
to
18:29
Chainsaways,
18:30
the
18:30
new
18:30
Supercenter
18:31
is
18:31
located
18:31
in
18:32
Cypress,
18:32
Texas
18:33
which
18:33
is
18:33
both
18:34
its
18:34
first
18:34
ground
18:34
up
18:35
supercenter
18:35
in
18:35
four
18:36
years
18:36
and
18:36
the
18:36
first
18:37
new
18:37
construction
18:38
of
18:38
store
18:38
of
18:38
the
18:39
of
18:39
a
18:39
store
18:39
of
18:39
the
18:40
Future
18:40
in
18:40
the
18:40
U.S.
18:41
walmart
18:42
plans
18:42
to
18:42
build
18:42
or
18:42
convert
18:43
more
18:43
than
18:43
150
18:44
stores
18:44
to
18:44
this
18:45
new
18:45
Superstore
18:45
model
18:46
over
18:46
the
18:46
next
18:46
several
18:47
years.
18:47
Highlights
18:48
of
18:48
the
18:48
new
18:48
store
18:49
include
18:49
a
18:49
full
18:50
service
18:50
fuel
18:50
station
18:50
with
18:51
eight
18:51
pumps
18:51
serving
18:51
up
18:52
to
18:52
16
18:52
vehicles
18:53
a
18:53
modern
18:54
pharmacy
18:54
with
18:54
a
18:54
health
18:55
service
18:55
room
18:55
and
18:55
drive
18:56
thru
18:56
a
18:56
refreshed
18:57
vision
18:57
center
18:58
offering
18:58
expanded
18:59
services
19:00
elevated
19:00
departments
19:01
in
19:01
fashion,
19:01
baby
19:02
home
19:02
and
19:02
pets.
19:03
An
19:03
ability
19:04
for
19:04
customers
19:04
to
19:04
use
19:05
the
19:05
Walmart
19:05
app
19:05
to
19:05
engage
19:06
with
19:06
the
19:06
store
19:06
including
19:06
scheduling,
19:07
TV
19:07
mounting,
19:08
enhancing
19:08
registries
19:09
or
19:09
booking
19:10
tire
19:10
installations.
19:11
Something
19:11
I
19:12
love
19:12
to
19:12
do.
19:12
Storewide
19:13
digital
19:13
shelf
19:14
labels
19:14
and
19:14
updated
19:14
Walmart
19:15
branding
19:15
and
19:16
QR
19:16
codes
19:16
throughout
19:16
the
19:16
store
19:17
to
19:17
unlock
19:18
digital
19:18
tools,
19:19
resources
19:19
and
19:20
instant
19:20
access
19:21
to
19:21
an
19:21
expanded
19:22
assortment.
19:23
Ben,
19:24
how
19:24
much
19:25
are
19:25
you
19:25
buying
19:25
into
19:26
Walmart's
19:27
new
19:27
store
19:28
of
19:28
the
19:28
future
19:28
moniker
19:29
moniker
19:31
for
19:31
this
19:31
new
19:32
Texas
19:33
installation
19:34
Oh.
19:35
Man,
19:35
I
19:35
wish
19:35
that
19:35
was
19:36
open
19:36
a
19:36
month
19:36
ago.
19:37
So
19:38
I
19:38
went
19:38
after
19:38
shop
19:39
in
19:39
spring
19:40
I
19:40
went
19:40
down
19:40
to
19:40
Texas
19:42
spent
19:42
some
19:42
time
19:42
with
19:43
retail
19:43
partners.
19:44
We
19:44
did
19:44
we
19:44
shot
19:45
some
19:45
videos
19:45
for
19:45
our
19:46
kind
19:46
of
19:46
grocery
19:46
shop,
19:47
an
19:47
inside
19:48
grocery
19:48
shop
19:48
series
19:48
that
19:49
we
19:49
doing
19:49
so
19:50
I'd
19:50
have
19:50
loved
19:50
to
19:50
have
19:50
seen
19:51
it
19:51
in
19:51
the
19:51
flesh
19:53
I
19:53
guess.
19:53
What
19:54
thoughts
19:54
on
19:54
this?
19:55
Number
19:55
one,
19:56
I'm
19:56
amazed.
19:57
It's
19:57
the
19:57
first
19:57
new
19:58
ground
19:58
up
19:58
supercenter
19:59
for
19:59
four
19:59
years
20:00
that
20:00
took
20:01
me
20:01
back
20:01
but
20:03
the
20:03
recent
20:03
remodel
20:04
supercenters
20:05
that
20:05
I've
20:05
been
20:05
in
20:06
are
20:06
really
20:06
good
20:06
stores.
20:07
They're
20:07
operationally,
20:08
they're
20:09
really
20:09
well
20:09
run,
20:10
really
20:10
consistent,
20:11
strong
20:12
operational
20:12
standards.
20:14
What
20:14
we're
20:14
seeing
20:14
is
20:15
the
20:15
increased
20:15
connection
20:16
of
20:16
linking
20:17
those
20:17
digital
20:17
journeys
20:18
from
20:19
in
20:20
home
20:20
to
20:20
in
20:21
store
20:21
that
20:22
SAMs
20:22
are
20:23
doing
20:23
and
20:23
they're
20:23
probably
20:23
a
20:24
little
20:24
bit
20:24
further
20:24
along
20:24
the
20:25
journey
20:25
with
20:25
what
20:26
they've
20:26
done
20:26
in
20:26
Grapevine.
20:27
So
20:27
that's
20:27
really
20:28
strong.
20:29
QR
20:29
codes
20:29
to
20:29
unlock
20:30
expanded
20:31
assortments,
20:32
getting
20:32
people
20:32
to
20:32
drive
20:32
in
20:33
the
20:33
app
20:33
so
20:33
you've
20:33
got
20:33
more
20:34
app
20:34
usage
20:34
and
20:34
then
20:34
you
20:34
can
20:35
drive
20:35
media
20:35
sales
20:35
through
20:35
the
20:36
app,
20:36
you
20:36
can
20:36
drive
20:37
Walmart
20:37
plus
20:37
et
20:37
cetera.
20:38
So
20:39
all
20:39
makes
20:39
sense.
20:40
You've
20:40
then
20:40
got
20:40
the
20:41
efficiency
20:42
bit.
20:43
It's
20:43
one
20:43
of
20:44
our
20:44
big
20:44
things
20:44
at
20:44
the
20:44
moment
20:45
is
20:45
driving
20:45
efficiency
20:46
and
20:46
engagement
20:47
and
20:47
the
20:47
connection
20:47
between
20:47
the
20:48
two.
20:48
So
20:48
again
20:48
there's
20:48
a
20:49
lot
20:49
here
20:49
they're
20:49
talking
20:50
about
20:50
about
20:50
continued
20:51
rollout
20:51
of
20:51
digital
20:51
shelf
20:52
edge
20:52
labels
20:53
that
20:53
we
20:53
talked
20:53
about
20:53
before.
20:55
So
20:55
there's
20:55
a
20:56
lot
20:56
that
20:56
is
20:56
positive.
20:57
I
20:57
think,
20:58
I
20:58
think
20:58
probably
20:59
the
20:59
interesting
20:59
thing
20:59
is
21:01
is
21:01
this
21:01
the
21:02
store
21:02
of
21:02
the
21:02
future
21:02
concept?
21:03
I
21:03
mean
21:04
you
21:05
guys
21:05
run
21:05
futurelabs,
21:06
you're
21:06
better
21:06
at
21:06
this
21:07
than
21:07
I
21:07
am.
21:07
For
21:08
me,
21:08
no,
21:10
this
21:10
is
21:10
a
21:10
store
21:10
of
21:11
now.
21:11
So
21:11
this
21:12
is
21:12
a
21:13
really
21:13
good
21:13
execution
21:14
of
21:15
what
21:15
retail
21:15
looks
21:16
like.
21:16
And
21:16
I
21:16
think
21:16
the
21:16
the
21:17
watch
21:17
out
21:17
for
21:17
me
21:17
is
21:17
if
21:18
you've
21:18
got
21:19
if
21:19
there's
21:19
other
21:19
retailers
21:20
who
21:20
are
21:20
looking
21:20
at
21:21
this
21:21
Thinking
21:21
that
21:21
this
21:21
is
21:22
sort
21:22
of
21:22
the
21:22
future,
21:22
then
21:23
they're
21:23
behind
21:23
this
21:24
is
21:24
store
21:24
of
21:24
now.
21:25
And
21:25
there's
21:25
other
21:25
things
21:26
going
21:26
on
21:26
elsewhere
21:26
in
21:27
the
21:27
Walmart
21:27
estate
21:27
to
21:27
show
21:28
you
21:28
what
21:28
some
21:28
of
21:28
the
21:28
things
21:29
in
21:29
the
21:29
future
21:29
might
21:29
be.
21:30
I
21:31
agree
21:31
this
21:31
is
21:31
the
21:31
problem
21:31
with
21:32
the
21:32
term
21:32
and
21:32
I
21:32
don't
21:33
know
21:33
if
21:33
Walmart's
21:33
using
21:33
this
21:34
term
21:34
or
21:34
if
21:34
the
21:34
media
21:35
is
21:35
using
21:35
this
21:35
term,
21:36
which
21:36
is
21:36
why
21:36
we
21:36
do
21:36
what
21:37
we
21:37
do,
21:37
which
21:37
is
21:38
this,
21:38
this
21:38
is
21:38
not
21:39
a
21:39
store
21:39
of
21:39
the
21:39
future.
21:39
It's
21:40
the
21:40
proto,
21:40
it's
21:41
essentially
21:41
the
21:41
prototype
21:42
of
21:42
the
21:42
future.
21:42
Right,
21:42
and
21:42
that's
21:43
what
21:43
you're
21:43
saying
21:43
you're
21:43
thinking
21:44
too.
21:44
I
21:44
can
21:44
tell
21:44
by
21:44
the
21:44
way
21:45
you're
21:45
nodding
21:45
your
21:45
head.
21:45
It's
21:45
like,
21:46
like,
21:46
you
21:46
know,
21:46
it's
21:46
not,
21:47
it's
21:47
not
21:47
even
21:47
that,
21:47
that
21:48
futuristic.
21:48
It's,
21:49
you
21:49
know,
21:49
compared
21:49
to
21:49
what
21:49
we
21:50
saw
21:50
in
21:50
Canada,
21:50
which
21:50
was
21:51
much
21:51
more
21:51
futuristic.
21:52
But
21:52
even
21:52
that
21:52
is
21:52
kind
21:53
of
21:53
a
21:53
prototype
21:53
of
21:54
the
21:54
future
21:54
design.
21:54
It,
21:55
it
21:55
just
21:55
seems
21:55
like
21:56
a
21:56
pragmatic,
21:57
you
21:57
know,
21:57
incremental
21:58
evolution
21:59
versus
21:59
like
21:59
a
21:59
revolutionary
22:00
store
22:01
of
22:01
the
22:01
future
22:01
idea.
22:02
At
22:02
least
22:02
that's
22:02
my
22:02
take.
22:02
And
22:03
what
22:03
do
22:03
you
22:03
think?
22:03
Do
22:03
we,
22:03
are
22:03
we
22:03
gonna
22:04
agree
22:04
on
22:04
this
22:04
one?
22:04
Are
22:05
we
22:05
gonna.
22:05
Yeah,
22:05
no,
22:06
I
22:06
think,
22:06
are
22:06
we
22:06
gonna
22:06
start
22:07
off
22:07
salty?
22:08
I
22:09
don't
22:09
like
22:09
that
22:09
I
22:10
get
22:10
called
22:10
salty
22:11
for
22:11
just
22:11
disagreeing.
22:12
I
22:12
said
22:12
we
22:12
are
22:13
gonna
22:13
start
22:13
off
22:13
salty.
22:14
I
22:14
say
22:14
you,
22:15
I
22:15
said
22:15
we.
22:15
I,
22:16
I
22:16
think,
22:16
I
22:16
think
22:17
you
22:17
guys
22:17
are
22:17
right.
22:17
Just,
22:18
it's
22:18
just
22:18
this
22:19
is
22:19
the
22:19
new,
22:20
new
22:20
format
22:21
stores
22:21
for
22:21
Walmart.
22:23
I,
22:23
I
22:24
think
22:24
there's,
22:25
especially
22:25
at
22:25
this
22:26
Texas
22:26
location,
22:27
it
22:27
sounds
22:28
like
22:28
they're
22:28
just
22:28
setting
22:29
up
22:29
a
22:30
store
22:30
that
22:30
will
22:31
better
22:31
allow
22:32
Walmart
22:33
to
22:33
compete
22:33
and
22:34
to
22:34
position
22:34
itself,
22:35
especially
22:35
in
22:35
Texas
22:36
with
22:36
major
22:36
competitors
22:37
in
22:37
the
22:37
same
22:37
demographic.
22:38
Like,
22:38
like
22:38
H
22:39
E
22:39
B.
22:39
I
22:39
mean
22:40
they're
22:40
making
22:40
their
22:40
own
22:41
tortillas
22:41
in
22:41
store.
22:42
They
22:42
have
22:42
a
22:42
highly
22:43
curated
22:43
bakery.
22:44
Like
22:44
maybe
22:45
we'll
22:45
see
22:45
more
22:45
grab
22:46
and
22:46
go
22:46
food
22:46
in
22:47
this
22:47
store
22:47
that
22:48
really
22:49
allows
22:49
Walmart
22:49
to
22:50
be
22:50
in
22:50
that
22:50
same
22:50
consideration
22:51
set
22:51
that
22:51
you're
22:52
getting
22:52
from
22:53
other
22:53
major
22:54
players
22:54
in
22:54
that
22:55
Texas
22:55
market.
22:56
And
22:56
I
22:56
think
22:56
if
22:56
this
22:56
was
22:57
a
22:57
true
22:57
store
22:57
of
22:57
the
22:58
future
22:58
in
22:58
the
22:58
sense
22:58
that
22:58
Chris,
22:59
you
22:59
and
22:59
I
22:59
learned
22:59
when
23:00
we
23:00
were
23:00
building
23:00
Target,
23:01
store
23:01
of
23:01
the
23:01
future,
23:01
it's
23:02
like
23:02
there's
23:03
got
23:03
to
23:03
be
23:03
more
23:04
that's
23:05
in,
23:05
in
23:06
test
23:06
mode
23:06
than
23:07
there
23:07
is
23:07
like
23:08
live
23:08
in
23:08
the
23:08
physical
23:09
store.
23:09
This
23:09
to
23:09
me
23:10
is
23:10
that
23:10
concept
23:11
that
23:11
is
23:11
just,
23:11
just
23:11
new,
23:13
you
23:13
know,
23:13
the
23:14
new
23:14
format
23:14
for
23:14
Walmart.
23:15
If
23:15
it
23:16
was
23:16
a
23:16
store
23:16
of
23:16
the
23:16
future,
23:17
I
23:17
would
23:17
expect
23:17
to
23:18
see
23:18
a
23:18
lot
23:18
more
23:19
test,
23:19
like
23:19
small
23:20
scale
23:20
tests
23:20
going
23:20
on
23:21
than
23:21
what
23:21
we're
23:21
seeing
23:21
in
23:21
the
23:22
store.
23:22
And
23:23
More
23:23
on
23:23
the
23:23
side
23:24
of
23:24
consumer
23:25
facing
23:25
technology,
23:26
associate
23:26
facing
23:27
technology,
23:27
supply
23:28
chain
23:28
technology
23:29
than
23:29
what
23:30
we're
23:30
hearing
23:30
about
23:30
specifically
23:31
in
23:31
this
23:32
format.
23:32
Yeah,
23:33
100%.
23:33
100%.
23:34
There'd
23:34
be
23:34
more
23:35
concept
23:35
work
23:36
in
23:36
terms
23:36
of
23:37
different
23:37
things
23:37
that
23:38
they're
23:38
trying
23:38
to
23:38
see
23:39
if
23:39
they
23:39
can
23:39
change
23:40
the
23:40
operating
23:40
dynamics
23:41
of
23:41
the
23:41
business
23:41
model
23:42
itself
23:42
to
23:42
squeeze
23:43
more,
23:43
you
23:43
know,
23:43
profit
23:44
and
23:44
sales
23:44
out
23:45
of,
23:45
out
23:45
of
23:45
the
23:45
operation.
23:46
So
23:46
yeah,
23:46
100.
23:47
And
23:47
that's
23:47
the
23:48
other
23:48
thing
23:48
too.
23:48
I
23:48
imagine
23:48
they're
23:49
doing
23:49
all
23:49
kinds
23:49
of
23:50
things
23:50
with
23:50
employee
23:50
tools
23:51
and
23:51
technologies,
23:52
you
23:52
know.
23:52
Right.
23:52
But
23:52
they're
23:53
probably
23:53
doing
23:53
that
23:53
across
23:53
the
23:54
chain
23:54
already
23:54
and
23:54
they've
23:54
probably
23:55
talked
23:55
about
23:55
that
23:55
a
23:55
little
23:55
bit,
23:55
but
23:56
I
23:56
was
23:56
surprised
23:56
that
23:56
that
23:56
wasn't
23:57
more
23:58
pronounced
23:58
in
23:59
the
23:59
announcement,
23:59
so
23:59
to
24:00
speak.
24:00
Right,
24:00
yeah,
24:00
it's
24:01
something
24:01
that
24:01
they
24:01
talked
24:01
about
24:02
it.
24:02
Shop
24:02
talk.
24:02
So
24:03
Cedric
24:03
Clark's
24:04
interview,
24:04
the
24:04
EVP
24:05
talked
24:06
about
24:06
the
24:07
store
24:07
app
24:07
that
24:07
they're
24:08
using
24:08
and
24:08
how
24:08
they're
24:09
unlocking
24:09
efficiencies.
24:10
So
24:11
yeah,
24:11
I
24:11
think
24:11
we
24:11
know
24:12
it's
24:12
happening
24:13
and
24:13
I
24:13
think,
24:13
look,
24:14
it's
24:14
the
24:15
supercenter
24:15
format
24:16
is
24:16
such
24:16
a
24:16
solid
24:16
format,
24:17
you
24:17
would
24:17
not
24:17
want
24:17
to
24:17
be
24:17
competing
24:18
against
24:18
that
24:19
store.
24:20
I
24:20
think
24:20
it's
24:21
just
24:21
not
24:21
a
24:22
futuristic
24:24
concept
24:24
bringing
24:25
new
24:25
things
24:25
we
24:25
haven't
24:26
seen
24:26
before.
24:26
Rather
24:26
it's
24:27
the
24:27
latest
24:27
iteration
24:28
of
24:28
lots
24:28
of
24:28
really
24:29
good
24:29
things
24:29
that
24:29
they're
24:29
putting
24:30
together
24:30
into
24:30
one
24:30
space.
24:31
Yeah,
24:32
it's
24:32
a
24:32
Walmart
24:32
makeover.
24:33
I
24:33
mean
24:33
it
24:34
really
24:34
is.
24:34
That's
24:34
what
24:35
when
24:35
you,
24:35
when
24:35
you
24:35
look
24:35
at
24:35
it
24:36
it's
24:36
like,
24:36
oh,
24:36
Walmart's
24:37
had
24:37
this
24:37
glow
24:38
up
24:38
and
24:39
this
24:39
is
24:39
a
24:39
new
24:39
store.
24:40
We're
24:40
gonna,
24:40
we're
24:40
attracting
24:41
a
24:41
new
24:41
demographic.
24:42
We're
24:42
gonna
24:42
show
24:43
them
24:43
that
24:43
experience
24:44
when
24:44
they
24:44
step
24:44
foot
24:45
into
24:45
the
24:45
box
24:45
versus
24:46
just,
24:46
you
24:46
know,
24:47
what
24:47
their
24:47
previous
24:48
preconceived
24:49
notions
24:49
were
24:49
of
24:50
a
24:50
Walmart
24:50
store.
24:51
Yeah.
24:52
Meanwhile
24:52
I
24:52
walked
24:53
into
24:53
my
24:53
local
24:53
Target
24:53
yesterday
24:54
and,
24:54
and
24:54
like
24:55
I've
24:55
it,
24:55
I've
24:55
got
24:55
pallets
24:56
down
24:56
every
24:57
aisle
24:57
and
24:58
there's
24:58
like
24:58
floral,
24:59
floral
25:00
forests
25:00
as
25:01
I
25:01
enter
25:01
the
25:01
store.
25:02
Like
25:02
I'm
25:02
like
25:02
what
25:02
the
25:02
heck
25:03
is
25:03
going
25:03
on
25:03
here?
25:03
This
25:04
looks
25:04
really
25:04
different.
25:04
But
25:05
anyway.
25:05
All
25:06
right,
25:06
well
25:06
let's
25:06
move
25:06
on
25:06
to
25:06
headline
25:07
number
25:07
three.
25:08
Ben,
25:08
we're
25:08
really
25:09
going
25:09
to
25:09
need
25:09
you
25:09
for
25:09
this
25:09
one.
25:10
Because
25:10
Morrison's
25:11
becomes
25:12
the
25:12
first
25:12
supermarket
25:13
in
25:13
the
25:13
UK
25:13
to
25:14
introduce
25:15
human
25:15
sized
25:16
aisle
25:16
robots.
25:17
According
25:17
to
25:17
Metro
25:18
Simbi's
25:19
tally,
25:19
robots
25:20
can
25:20
now
25:20
be
25:20
spotted
25:20
in
25:21
three
25:21
Morrison
25:22
stores,
25:22
whether
25:23
be
25:23
Redcar
25:24
and
25:24
Stockton
25:25
and
25:25
will
25:26
be
25:26
primarily
25:27
used
25:27
to
25:27
check
25:27
stock.
25:28
Ben,
25:28
this
25:28
question
25:29
goes
25:29
to
25:29
you.
25:30
Have
25:30
you
25:30
seen
25:31
Morrison's
25:31
new
25:31
robots
25:32
in
25:32
action
25:33
yet?
25:33
Number
25:33
one
25:34
and
25:34
two,
25:34
what's
25:34
your
25:35
take
25:35
on
25:35
them.
25:36
So
25:36
I
25:37
have
25:37
not
25:37
seen
25:37
them
25:37
in
25:38
Morrisons
25:38
like
25:39
you
25:39
mentioned.
25:39
It's
25:39
a
25:40
three
25:40
store
25:40
trial
25:40
and
25:40
all
25:41
the
25:41
stores
25:41
are
25:41
up
25:41
in
25:42
the
25:42
north
25:42
of
25:42
England.
25:43
So
25:44
a
25:44
which
25:44
is
25:44
a
25:44
good
25:45
distance
25:45
from
25:45
London
25:46
where
25:46
I'm
25:46
based.
25:47
But
25:47
I
25:47
do
25:48
know
25:48
a
25:48
man
25:48
who
25:48
has.
25:49
So
25:50
shout
25:51
out
25:51
to
25:51
my
25:51
old
25:51
team
25:51
member
25:52
Toby
25:52
Pickard
25:53
over
25:53
I.G.D.
25:55
who
25:55
met
25:56
with
25:56
Morrisons
25:56
and
25:56
the
25:57
Simba
25:57
team
25:57
last
25:58
week.
25:58
And
25:59
so
25:59
I
25:59
spoke
26:00
to
26:00
him
26:00
last
26:00
night,
26:00
he
26:01
kindly
26:01
gave
26:01
me
26:02
the
26:02
lowdown
26:02
and
26:02
he'd
26:03
been
26:03
up
26:03
to
26:03
see
26:03
them.
26:04
So
26:04
yeah,
26:05
as
26:05
you
26:05
say,
26:05
free
26:06
store
26:06
trial.
26:07
They've
26:07
got
26:07
tallies
26:08
who
26:08
are
26:09
autonomously
26:10
looping
26:10
the
26:10
stores
26:11
twice
26:12
a
26:12
day
26:12
checking
26:13
up
26:13
to
26:13
30,000
26:14
products
26:15
an
26:15
hour.
26:16
I
26:17
really
26:17
look,
26:17
the
26:17
use
26:18
case
26:18
is
26:18
familiar.
26:19
We've
26:19
talked
26:19
about
26:20
it.
26:20
You
26:20
guys
26:20
talked
26:21
about
26:21
it
26:21
on
26:21
the
26:21
show
26:22
before.
26:22
We've
26:23
had
26:23
retailers
26:23
like
26:24
BJ
26:24
and
26:24
Snooks
26:25
talk
26:25
about
26:25
it
26:26
at
26:26
previous
26:26
grocery
26:26
shop
26:27
shows.
26:28
They're
26:28
checking
26:29
inventory
26:29
and
26:30
they
26:30
are
26:30
checking
26:31
pricing
26:31
and
26:31
promotions
26:31
accuracy
26:33
and
26:33
simply
26:33
talk
26:33
about
26:34
saving
26:34
up
26:34
to
26:34
about
26:35
50
26:35
labor
26:35
hours
26:36
a
26:36
week
26:37
using
26:37
it.
26:39
And
26:39
what
26:39
do
26:39
we
26:39
think?
26:40
Well,
26:41
inventory
26:41
management
26:42
is
26:42
everything
26:43
in
26:43
groceries.
26:44
It's
26:44
everything.
26:45
And
26:46
your
26:46
P
26:46
and
26:46
L
26:47
is
26:47
based
26:47
on
26:47
getting
26:47
the
26:47
balance
26:48
right
26:48
between
26:48
availability
26:49
and
26:49
waste,
26:50
especially
26:50
in
26:50
short
26:51
shelf
26:51
life.
26:52
So
26:52
you
26:52
know,
26:53
this
26:53
is
26:53
Morrison's
26:54
in
26:54
my
26:54
age,
26:54
it's
26:55
just
26:55
the
26:55
latest
26:55
retailer
26:56
turning
26:56
to
26:56
robotic
26:57
technology
26:57
to
26:58
try
26:58
and
26:58
help
26:58
drive
26:58
that
26:59
balance
26:59
and
26:59
drive
27:00
the
27:00
efficiency.
27:01
Yeah,
27:01
Ben,
27:01
I
27:02
agree
27:02
with
27:02
a
27:03
lot
27:03
of
27:03
what
27:03
you're
27:03
saying.
27:03
I
27:04
mean,
27:04
I
27:04
think
27:04
the
27:04
other
27:04
thing
27:05
for
27:05
me
27:05
is
27:05
that
27:05
the,
27:06
the
27:06
Morrison
27:07
stores
27:08
are
27:08
typically
27:10
much
27:10
smaller
27:11
in
27:11
size
27:12
than
27:12
what
27:12
we've
27:13
seen
27:13
in
27:13
some
27:13
of
27:13
the
27:13
BJ's
27:14
and
27:14
schnooks
27:16
footprints
27:16
that
27:17
they're
27:17
rolling
27:17
out
27:17
in
27:17
the
27:18
U.S.
27:18
so
27:18
what
27:19
this
27:19
tells
27:19
me
27:20
is
27:20
that,
27:20
you
27:20
know,
27:21
there's
27:21
actually
27:21
still
27:22
value
27:23
in
27:23
the
27:23
investment
27:24
in
27:24
the
27:24
robots
27:25
doing
27:25
the
27:25
type
27:25
of
27:25
work
27:26
that
27:26
you're
27:26
talking
27:26
about
27:26
saving
27:27
the
27:27
50
27:27
labor
27:27
hours
27:28
a
27:28
week
27:28
even
27:29
when
27:29
you
27:29
might
27:30
have
27:30
fewer
27:30
SKUs
27:31
and
27:31
a
27:31
smaller,
27:32
you
27:32
know,
27:32
store
27:32
floor
27:33
pad
27:33
that
27:33
they're
27:33
wandering.
27:34
So
27:34
that,
27:34
that
27:35
to
27:35
me
27:35
is
27:35
kind
27:35
of
27:36
the,
27:36
the
27:37
icing
27:37
on
27:37
the
27:37
cake
27:37
of
27:38
what
27:38
you
27:38
just
27:38
said
27:39
because
27:39
it,
27:40
it's,
27:40
it's
27:41
proving
27:41
out
27:41
the
27:41
use
27:42
case
27:42
regardless
27:43
of,
27:43
of
27:43
store
27:43
format.
27:45
Chris,
27:46
are
27:46
what
27:46
are
27:46
your
27:47
thoughts
27:47
here?
27:48
Tally,
27:48
we
27:49
talked
27:49
about
27:49
it,
27:50
but
27:50
this
27:50
is
27:50
a
27:51
new,
27:51
new,
27:51
new,
27:52
new
27:53
format
27:53
across
27:53
the
27:53
pond.
27:54
Chris?
27:54
Yeah,
27:55
no,
27:55
I
27:55
mean
27:55
I
27:56
think
27:56
it's
27:56
just,
27:56
you
27:56
know,
27:56
further
27:57
validation
27:57
of
27:57
2025
27:58
being
27:58
the
27:58
year
27:59
of
27:59
the
27:59
robot,
27:59
which
27:59
we've
28:00
said.
28:00
And
28:00
kudos
28:00
to
28:00
Simbi
28:01
for,
28:01
you
28:01
know,
28:02
basically
28:03
inking
28:03
all
28:03
these
28:03
new
28:04
Partnerships.
28:04
And
28:04
so
28:04
to
28:05
me,
28:05
like,
28:05
if
28:05
you're
28:05
not
28:06
at
28:06
least,
28:06
least
28:06
having
28:06
this
28:07
conversation
28:07
internally
28:08
as
28:08
an
28:08
executive
28:08
in
28:09
terms
28:09
of
28:09
the
28:09
value
28:09
that
28:09
robots
28:10
can
28:10
bring,
28:11
you
28:11
know,
28:11
I
28:11
think
28:11
you're
28:11
missing
28:12
out
28:12
the
28:12
point.
28:12
I'd
28:12
add
28:13
to
28:13
what
28:13
Ben
28:13
said
28:13
is
28:14
inventory
28:14
is
28:14
important,
28:14
but
28:15
the
28:15
other
28:15
thing
28:15
that's
28:15
really
28:16
important
28:16
when
28:16
you're
28:16
a
28:16
grocer
28:17
particularly
28:17
is
28:17
pricing.
28:18
You
28:18
got
28:18
to
28:19
get
28:19
your
28:19
pricing
28:19
accurate
28:20
too,
28:20
because
28:20
you
28:21
know
28:21
you
28:21
don't
28:21
have
28:21
the
28:21
right
28:21
sign
28:22
on.
28:22
It
28:22
means
28:22
you're
28:22
missing
28:23
out
28:23
on
28:23
the
28:23
vendor
28:23
income
28:24
that
28:24
the
28:24
CPG
28:24
brands
28:25
have
28:25
are
28:25
going
28:26
to
28:26
provide
28:26
you
28:26
to
28:26
run
28:27
a
28:27
promotion
28:27
to
28:28
move
28:28
those
28:28
units
28:29
through
28:29
your
28:29
store.
28:30
So
28:30
that's
28:30
also
28:31
especially
28:32
vital.
28:32
All
28:32
right,
28:33
let's
28:33
bring
28:33
Omar
28:34
on
28:34
today's
28:34
show.
28:36
Joining
28:36
us
28:36
now
28:37
for
28:37
five
28:37
insightful
28:38
minutes
28:38
is
28:38
Omar
28:38
Akilah,
28:39
the
28:40
SVP
28:40
of
28:41
product
28:41
at
28:41
Infios
28:42
and
28:42
a
28:42
former
28:42
colleague
28:42
of
28:42
both
28:43
Ann
28:43
and
28:43
myself
28:44
at
28:44
Target.
28:44
And
28:44
Omar
28:45
is
28:45
here
28:45
to
28:45
discuss
28:46
how
28:46
AI
28:47
is
28:47
already
28:48
and
28:48
also
28:49
will
28:49
impact
28:50
order
28:50
management
28:51
systems
28:51
in
28:51
the
28:52
future.
28:52
Omar,
28:53
let's
28:53
start
28:53
with
28:53
this.
28:54
You've
28:54
spoken
28:54
about,
28:54
you
28:55
and
28:55
I
28:55
have
28:55
spoken
28:55
about
28:55
this
28:55
a
28:55
lot.
28:56
You've
28:56
spoken
28:56
about
28:56
order
28:57
management
28:57
being
28:58
modular.
28:59
What
28:59
does
28:59
a
29:00
modular
29:00
order
29:01
management
29:01
system
29:02
mean
29:02
for
29:02
retailers
29:03
and
29:03
why
29:03
do
29:03
you
29:03
think
29:03
it's
29:04
an
29:04
approach
29:04
that
29:04
many
29:05
retailers
29:05
would
29:05
benefit
29:06
from.
29:06
At
29:07
the
29:07
end
29:07
of
29:07
the
29:07
day,
29:07
companies
29:08
are
29:08
looking
29:08
to
29:08
unlock
29:09
strategies
29:09
and
29:09
capabilities,
29:10
not
29:11
installing
29:11
a
29:12
bunch
29:12
of
29:12
S
29:13
systems,
29:14
right?
29:14
You
29:14
think
29:14
of
29:15
oms,
29:15
you
29:15
think
29:15
of
29:15
tms,
29:16
you
29:16
think
29:16
of
29:16
wms,
29:17
those
29:18
were
29:18
built
29:19
more
29:19
of
29:20
a
29:20
lumping
29:20
of
29:20
capabilities
29:21
and
29:21
functions
29:22
in
29:22
a
29:22
dated
29:22
view
29:23
of
29:23
the
29:23
world.
29:23
The
29:24
world
29:24
today
29:24
is
29:25
much
29:25
more
29:25
dynamic.
29:26
And
29:26
so
29:27
I'm
29:27
looking
29:27
for
29:28
functions
29:29
that
29:29
will
29:30
unlock
29:30
a
29:31
strategy
29:32
as
29:32
opposed
29:33
to
29:33
installing
29:34
a
29:34
system
29:35
and
29:35
going
29:35
through
29:35
the
29:36
time
29:36
that
29:36
it
29:36
takes
29:36
to
29:37
do
29:37
all
29:37
of
29:37
that.
29:38
So
29:38
growing
29:39
with,
29:39
with,
29:40
with
29:40
our
29:40
customers
29:41
is
29:41
absolutely
29:41
essential
29:42
to
29:42
the
29:42
mission
29:42
at
29:43
Infios.
29:43
And
29:44
we
29:44
do
29:44
that
29:44
by
29:45
unlocking
29:45
capabilities
29:46
through
29:47
modules,
29:47
right?
29:48
Not
29:48
full
29:48
systems.
29:49
Meaning
29:50
we're
29:51
now
29:51
coming
29:51
in
29:52
order
29:52
management
29:53
system.
29:53
We
29:54
talked
29:54
about
29:54
inventory,
29:55
we
29:55
talked
29:55
about
29:55
optimization.
29:56
What
29:57
if
29:57
you're,
29:57
say,
29:57
what
29:57
if
29:58
you
29:58
are
29:58
a
29:58
TikTok
29:58
shop
29:59
today
29:59
and
30:00
you
30:00
do
30:00
expand
30:01
into
30:01
additional
30:02
channels?
30:03
What
30:03
you
30:03
really
30:04
need
30:04
is
30:04
inventory
30:05
visibility
30:05
and
30:05
maybe
30:06
order
30:06
optimization.
30:07
You're
30:07
okay
30:07
on
30:08
orchestration.
30:08
You
30:08
can
30:09
get
30:09
orders
30:09
to
30:09
the
30:09
right
30:10
fulfillment
30:10
channels.
30:11
That's
30:11
what
30:11
we
30:12
talk
30:12
about
30:12
when
30:12
we
30:12
talk
30:12
about
30:13
modular,
30:14
right?
30:14
Being
30:14
able
30:15
to
30:15
understand
30:15
where
30:16
the
30:16
customer
30:16
is,
30:17
right.
30:18
Basically,
30:18
you
30:18
know,
30:19
to,
30:19
to
30:20
meet
30:20
the
30:20
customer
30:21
where
30:21
they
30:21
are
30:21
and
30:22
then
30:22
grow
30:22
them
30:22
into
30:23
the
30:23
future
30:23
they
30:23
need.
30:24
And
30:24
then
30:24
we
30:24
have
30:25
the
30:25
full
30:25
capability
30:26
suite,
30:27
right,
30:27
to
30:27
help
30:27
them
30:27
get,
30:28
you
30:28
know,
30:29
add
30:29
each
30:29
module
30:30
on
30:30
as
30:30
they
30:31
grow.
30:31
We
30:32
see
30:32
that
30:32
as
30:32
the
30:32
essential.
30:33
And,
30:33
and
30:33
you're
30:33
seeing
30:34
that
30:34
a
30:34
lot.
30:34
Chris,
30:35
you
30:35
talk
30:35
about
30:35
Shopify
30:36
and
30:36
the
30:36
environment
30:37
there.
30:37
You
30:38
see,
30:38
you
30:39
know,
30:39
think
30:39
about
30:40
small.
30:40
Once
30:40
you
30:40
grow
30:41
out
30:41
of
30:41
Shopify
30:41
and
30:42
you
30:42
grow
30:42
into
30:43
the
30:43
next
30:43
segment,
30:44
you
30:44
know,
30:44
where
30:44
do
30:44
you
30:45
go?
30:45
What
30:45
do
30:45
you
30:45
do?
30:46
Are
30:46
you
30:46
going
30:46
to
30:46
continue
30:47
to
30:47
install
30:48
a
30:48
bunch
30:48
of
30:49
point
30:49
solutions
30:50
and
30:50
then
30:50
you
30:50
have
30:50
to
30:50
manage
30:51
all
30:51
of
30:51
them
30:51
or
30:51
are
30:52
you
30:52
looking
30:52
for
30:53
modular
30:54
solutions
30:54
that
30:54
grow
30:55
into
30:55
quote
30:55
unquote
30:56
suites,
30:57
right,
30:57
that,
30:58
that
30:58
cover
30:59
the
30:59
breadth
30:59
of
30:59
the
30:59
future
31:00
and
31:00
functionality
31:00
that
31:01
you
31:01
need.
31:02
So
31:02
we
31:03
see
31:03
whether
31:03
it's
31:04
order
31:04
management,
31:04
transport
31:05
management,
31:05
warehouse
31:06
management,
31:07
it's
31:07
really
31:07
about
31:07
the
31:08
functions
31:08
and
31:08
the
31:08
capabilities,
31:09
not
31:09
about
31:09
the
31:09
systems
31:10
that
31:10
you're
31:11
trying
31:11
to
31:11
unlock
31:12
at
31:12
whatever
31:13
phase
31:13
or
31:13
stage
31:14
you
31:14
are
31:14
in
31:14
the
31:14
business.
31:15
Omar,
31:16
how
31:16
is
31:17
then
31:17
predictive
31:18
AI
31:18
and
31:18
machine
31:18
learning
31:19
kind
31:19
of
31:19
transforming
31:19
the
31:20
way
31:20
that
31:20
retailers
31:20
are
31:21
starting
31:21
to
31:21
think
31:21
about
31:21
omnichannel,
31:22
order
31:22
orchestration
31:24
and
31:24
fulfillment.
31:25
So
31:25
being
31:25
able
31:25
to
31:26
understand
31:26
what
31:27
the
31:27
data
31:27
is
31:27
telling
31:28
you
31:28
to
31:29
optimize
31:30
the
31:30
right
31:31
outcome
31:31
for
31:31
both
31:32
you
31:32
and
31:32
your
31:32
customer
31:33
becomes
31:33
absolutely
31:34
essential
31:35
in
31:35
the
31:35
future.
31:36
And
31:36
we
31:36
see
31:37
that
31:37
AI
31:37
is
31:38
the
31:38
backbone
31:39
and
31:39
the
31:39
foundation
31:40
of
31:40
order
31:41
management.
31:43
From
31:43
AI
31:44
agents
31:44
that
31:45
help
31:45
customers
31:46
complete
31:46
their
31:47
orders
31:48
to
31:49
optimization
31:50
and
31:50
predictive
31:51
AI
31:51
to
31:51
help
31:52
help
31:52
ensure
31:53
that
31:53
you're
31:53
actually
31:54
protecting
31:55
the
31:55
right
31:55
amount
31:56
of
31:56
inventory
31:57
and
31:57
optimizing
31:58
the
31:58
right
31:59
decisions
32:00
relative
32:01
to
32:01
which
32:03
fulfillment
32:03
channel
32:04
should
32:04
fulfill
32:05
this
32:05
order
32:05
for
32:06
you
32:07
to
32:08
end
32:09
to
32:09
end
32:10
anomaly
32:11
detection,
32:11
understanding
32:12
that
32:12
a
32:12
problem
32:12
is
32:12
happening
32:13
within
32:13
the
32:13
supply
32:14
chain,
32:14
being
32:14
able
32:14
to
32:14
adapt
32:15
and
32:15
react
32:16
in
32:16
real
32:17
time
32:17
to
32:18
solve
32:18
this.
32:19
At
32:19
the
32:19
end
32:19
of
32:19
the
32:20
day
32:20
we
32:20
see
32:20
that
32:20
AI
32:21
will
32:21
play
32:22
a
32:22
role
32:23
in
32:24
the
32:24
supply
32:25
chain
32:25
end
32:25
to
32:25
end
32:26
and
32:27
it
32:27
needs
32:28
to
32:28
be.
32:28
But
32:29
the
32:29
one
32:29
thing
32:29
we
32:30
fundamentally
32:31
believe
32:31
is
32:32
it
32:32
has
32:32
to
32:32
be
32:32
purposeful
32:33
and
32:34
guided
32:34
by
32:34
real
32:35
use
32:35
cases,
32:36
not
32:36
the
32:37
buzz
32:37
and
32:38
the
32:38
terms
32:38
that
32:38
you're
32:39
hearing
32:39
today.
32:40
For
32:40
those
32:40
listening
32:40
like
32:41
Omar
32:41
is
32:42
our
32:42
go
32:42
to
32:42
when
32:43
we
32:43
have
32:43
questions
32:43
about
32:43
oms.
32:44
He
32:44
is
32:44
the
32:45
first
32:45
person
32:45
that
32:46
I
32:46
call
32:46
whenever
32:46
I
32:47
have
32:47
a
32:47
question
32:47
about
32:47
this.
32:48
And
32:48
so,
32:48
so
32:48
I
32:49
want
32:49
to
32:49
ask
32:49
you,
32:49
I
32:49
want
32:49
to
32:49
put
32:49
you
32:50
on
32:50
the
32:50
spot
32:50
here.
32:50
So
32:51
what
32:51
are
32:51
some
32:51
concrete
32:52
examples
32:53
that
32:53
you
32:53
can
32:54
share
32:54
of,
32:55
you
32:55
know,
32:55
when
32:56
AI
32:56
is
32:56
used
32:56
in
32:57
real
32:57
time
32:57
and
32:57
how
32:57
it's
32:57
actually
32:58
impacting
32:58
business
32:59
decisions?
33:00
Think
33:00
of
33:01
inventory,
33:02
single
33:03
pool
33:03
of
33:03
inventory.
33:04
How
33:04
do
33:04
I
33:04
segment
33:05
that,
33:05
optimize
33:06
it,
33:06
protect
33:07
it
33:07
so
33:08
that
33:08
I
33:09
ensure
33:09
that
33:09
I'm
33:09
getting
33:09
the
33:10
right
33:11
outcomes
33:11
for
33:11
my
33:11
customers
33:12
and
33:13
my
33:13
business?
33:14
Example,
33:15
if
33:15
I
33:15
have
33:16
a
33:16
retail
33:17
store,
33:17
I
33:18
know
33:18
the
33:18
inventory
33:18
is
33:19
not
33:19
very
33:19
accurate.
33:19
I
33:20
need
33:20
to
33:20
protect
33:21
the
33:21
inventory.
33:21
If
33:22
somebody
33:22
wants
33:23
to
33:23
place
33:23
a
33:23
pickup
33:24
order,
33:24
I
33:25
need
33:25
to
33:25
protect
33:25
enough
33:26
of
33:26
it
33:26
to
33:27
ensure
33:27
that
33:27
I'm
33:27
not
33:27
giving
33:28
them
33:28
a
33:28
bad
33:28
experience
33:29
by
33:29
them
33:29
walking
33:29
in
33:29
the
33:30
store
33:30
and
33:30
the
33:30
inventory
33:31
is
33:31
not
33:31
there,
33:32
or
33:33
while
33:34
balancing
33:35
the
33:35
fact
33:35
that
33:35
I
33:35
need
33:35
to
33:35
expose
33:36
enough
33:36
to
33:36
not
33:37
lose
33:37
that
33:37
sale.
33:38
Right.
33:38
But
33:39
then
33:39
when
33:39
I
33:39
actually
33:40
take
33:40
the
33:40
order
33:41
and
33:41
I
33:41
now
33:42
need
33:42
to
33:42
potentially
33:43
ship
33:43
the
33:44
order
33:44
to
33:44
that
33:44
same
33:44
customer
33:45
because
33:45
they
33:45
decided
33:46
instead
33:46
of
33:47
pickup,
33:47
they're
33:47
going
33:47
to
33:47
actually
33:48
ship
33:48
it,
33:49
now
33:49
I'm
33:49
looking
33:49
at
33:50
that
33:50
same
33:50
inventory
33:50
because
33:51
I
33:51
may
33:51
want
33:51
to
33:51
ship
33:51
out
33:51
of
33:52
the
33:52
store
33:52
because
33:52
the
33:52
store
33:53
has
33:53
both
33:54
items.
33:54
One
33:55
of
33:55
them
33:55
may
33:55
not
33:55
be
33:56
as,
33:57
as
33:57
accurate
33:57
as
33:58
the
33:58
other,
33:58
but
33:58
I'm
33:58
willing
33:59
to
33:59
take
33:59
that
33:59
chance
34:00
because
34:00
consolidating
34:01
an
34:02
order
34:02
for
34:02
me
34:03
is
34:03
going
34:03
to
34:04
be
34:04
more
34:04
cost
34:04
effective
34:05
than
34:05
splitting
34:06
an
34:06
order.
34:07
So
34:07
that's
34:07
where
34:08
the
34:08
intelligence
34:08
of
34:09
AI
34:10
comes
34:10
into
34:10
play
34:10
to
34:11
understand,
34:12
given
34:13
each
34:13
use
34:14
case,
34:14
how
34:15
should
34:15
I
34:15
behave?
34:16
And
34:16
trying
34:17
to
34:17
do
34:17
that
34:17
as
34:17
a
34:17
user,
34:18
you
34:18
and
34:18
me,
34:18
trying
34:18
to
34:18
do
34:18
that
34:19
in
34:19
Excel
34:19
spreadsheet
34:20
or
34:20
rules
34:21
within
34:22
an
34:22
order
34:22
management
34:23
system.
34:23
Imagine
34:24
how
34:24
many
34:24
what
34:24
if
34:25
rules
34:25
you'd
34:25
have
34:25
to
34:25
set
34:26
up.
34:26
No,
34:27
thanks.
34:27
Yeah,
34:28
not,
34:29
not
34:29
something
34:29
we're
34:30
interested
34:30
in.
34:31
Well,
34:32
Omar,
34:32
let's
34:32
get
34:33
you
34:33
out
34:33
of
34:33
here
34:33
on
34:33
this
34:34
very
34:34
important
34:35
question.
34:35
As
34:36
you
34:36
look
34:36
ahead
34:36
into
34:37
the
34:37
future,
34:37
how
34:38
do
34:38
you
34:38
think
34:38
that
34:39
AI
34:39
and
34:39
machine
34:40
learning
34:40
are
34:40
going
34:41
to
34:41
reshape
34:42
order
34:42
management
34:43
over
34:43
like,
34:44
let's
34:44
just
34:44
say
34:44
the
34:44
next
34:45
three
34:45
years?
34:46
And
34:46
what
34:46
role
34:47
do
34:47
you
34:47
think
34:48
modular
34:48
intelligence
34:49
driven
34:50
systems
34:50
like
34:50
this
34:50
are
34:50
going
34:50
to
34:51
play
34:51
in
34:51
the
34:51
future?
34:52
Absolutely.
34:53
I
34:53
think
34:53
at
34:53
the
34:53
end
34:53
of
34:54
the
34:54
day,
34:54
they
34:54
need
34:54
to
34:54
be
34:54
my
34:55
companion.
34:56
Right?
34:56
Yeah.
34:56
As
34:56
opposed
34:57
to
34:57
someone
34:57
that's
34:58
replacing
34:58
my
34:58
job.
34:59
They
34:59
need
34:59
to
34:59
help
35:00
me
35:00
make
35:00
the
35:00
right
35:01
decision.
35:01
They
35:02
need
35:02
to
35:02
help
35:02
me
35:03
onboard
35:03
the
35:03
right
35:04
solutions
35:05
in,
35:05
in
35:05
the
35:05
fastest
35:06
way.
35:07
They
35:07
need
35:07
to
35:07
ensure
35:08
that
35:08
I'm
35:08
actually
35:09
optimizing
35:10
my
35:11
cost
35:11
from
35:12
onboarding
35:12
the
35:13
solution
35:13
all
35:13
the
35:13
way
35:13
to
35:14
managing
35:14
the
35:14
solution.
35:15
They
35:15
need
35:15
to
35:16
ensure
35:16
that
35:16
they're
35:16
actually
35:17
helping
35:17
my
35:18
customers
35:19
and,
35:19
and
35:19
enabling
35:20
my
35:20
customers
35:21
to
35:21
understand
35:21
things
35:22
like
35:22
where's
35:23
their
35:23
order,
35:24
you
35:25
know,
35:25
what
35:26
can
35:26
they
35:26
modify
35:26
their
35:27
order
35:27
to.
35:28
Potentially
35:28
even
35:29
creating
35:29
an
35:29
order,
35:30
ultimately
35:32
it
35:32
should
35:32
make
35:33
things
35:33
easier
35:34
as
35:35
opposed
35:35
to
35:35
more
35:36
complex.
35:36
So
35:37
in
35:38
a
35:38
world
35:38
where
35:39
things
35:39
are
35:39
changing
35:40
by
35:40
the
35:40
minute
35:40
and
35:41
everything's
35:41
getting
35:41
more
35:41
complex
35:42
by
35:42
the
35:42
minute,
35:43
we're
35:43
looking
35:44
at
35:44
AI.
35:44
We
35:44
see
35:45
the
35:45
role
35:45
of
35:45
AI
35:46
and
35:46
modular
35:46
systems
35:47
to
35:47
make
35:47
it
35:48
easier
35:48
for
35:48
companies
35:49
to
35:49
do
35:49
business
35:50
by
35:50
rationalizing
35:51
all
35:52
of
35:52
the
35:52
data
35:53
that
35:53
requires
35:54
to
35:54
make
35:54
the
35:54
right
35:54
decisions
35:55
and
35:56
influence
35:57
customers
35:58
as
35:58
well
35:58
as
35:59
business
35:59
decisions
36:00
to
36:00
the
36:00
optimal
36:01
outcomes.
36:02
I
36:02
mean,
36:02
especially
36:02
with
36:02
your
36:03
example
36:03
of
36:03
the
36:03
spreadsheet.
36:04
So
36:04
instead
36:04
of
36:04
managing
36:05
the
36:05
spreadsheet
36:05
and
36:05
all
36:05
the
36:06
complicated
36:06
what
36:06
if
36:06
scenarios
36:07
that
36:07
no
36:07
one
36:07
can
36:07
possibly
36:08
manage.
36:08
You're
36:09
basically
36:09
saying
36:09
let's
36:09
use
36:10
AI
36:10
and
36:10
let
36:11
them,
36:11
let's
36:11
manage
36:11
the
36:12
AI
36:12
to
36:12
do
36:12
this
36:13
more
36:13
efficiently.
36:14
So
36:14
absolutely.
36:14
From
36:15
spreadsheets
36:15
to
36:15
even
36:16
ages,
36:16
right
36:16
when
36:16
I,
36:16
when
36:17
I
36:17
pick
36:17
up
36:17
the
36:17
phone
36:17
and
36:17
I
36:18
call
36:18
someone
36:18
and
36:19
I
36:19
ask
36:19
them,
36:19
hey,
36:20
you
36:20
know,
36:20
where's
36:20
my.
36:20
Or
36:21
there's
36:21
some
36:21
basic
36:22
information
36:22
that
36:22
we
36:22
can
36:23
use
36:24
AI
36:24
to
36:25
actually
36:25
ensure
36:26
that
36:26
that
36:26
agent
36:27
that's
36:27
servicing
36:28
the
36:28
customer
36:28
for
36:28
a
36:29
basic
36:29
question
36:30
can,
36:30
you
36:30
know,
36:31
AI
36:31
can
36:31
augment
36:32
that
36:32
and
36:32
that
36:32
same
36:33
agent
36:33
can
36:33
actually
36:33
go
36:33
to
36:34
the
36:34
more
36:34
complex
36:35
and
36:35
more
36:36
strategic
36:36
things
36:37
that
36:37
I
36:37
need
36:37
them
36:37
to
36:37
do
36:37
for
36:38
me.
36:38
Thanks,
36:38
Omar.
36:39
Thank
36:39
you.
36:40
Absolutely.
36:41
Thank
36:41
you.
36:41
Headline
36:42
number
36:42
four
36:42
Adobe
36:43
says
36:43
that
36:44
Pinterest
36:44
is
36:44
emerging
36:45
as
36:46
a
36:46
search
36:46
engine.
36:47
According
36:47
to
36:47
Chain
36:47
Storage,
36:48
new
36:49
Adobe
36:49
Express
36:50
data
36:50
reveals
36:51
consumers
36:51
are
36:51
finding
36:52
new
36:52
uses
36:53
for
36:53
Pinterest.
36:54
About
36:55
2
36:55
in
36:55
5
36:55
U.S.
36:56
consumers,
36:56
or
36:57
39%
36:58
to
36:58
be
36:58
exact,
36:59
recently
36:59
surveyed
37:00
by
37:00
Adobe
37:00
Express
37:01
have
37:01
used
37:01
Pinterest
37:02
as
37:02
a
37:02
search
37:03
engine.
37:03
Survey
37:04
data
37:04
reveals
37:04
that
37:04
Gen
37:05
Z
37:05
respondents
37:05
in
37:05
particular
37:06
are
37:06
driving
37:06
this
37:07
trend
37:08
at
37:08
47%,
37:10
followed
37:10
by
37:10
millennials
37:11
at
37:11
39%,
37:12
Gen
37:12
X
37:13
at
37:13
37%
37:14
and
37:14
baby
37:14
boomers
37:15
at
37:15
25%
37:17
of
37:17
respondents.
37:18
More
37:18
than
37:18
one
37:19
third
37:19
of
37:19
respondents
37:20
also
37:20
36%
37:21
said
37:21
they
37:21
start
37:22
searches
37:22
on
37:22
Pinterest
37:22
in
37:23
instead
37:23
of
37:23
Google
37:24
with
37:24
Gen
37:24
Z
37:25
again
37:25
being
37:26
the
37:26
Most
37:26
likely
37:26
at
37:27
39%.
37:28
Fascinating.
37:29
And
37:29
6
37:29
in
37:30
10
37:31
respondents
37:32
said
37:32
Pinterest
37:33
search
37:33
results
37:33
feel
37:34
more
37:34
tailored
37:34
to
37:34
them
37:35
than
37:35
Google
37:36
results,
37:36
including
37:37
71%
37:38
of
37:38
Gen
37:39
Z
37:39
respondents.
37:40
And
37:41
we
37:41
had
37:42
cheap,
37:42
we
37:42
had
37:43
Chat
37:43
GPT
37:43
last
37:44
week
37:44
and
37:44
now
37:44
Pinterest.
37:45
Should
37:45
Google
37:46
be
37:46
even
37:46
more
37:46
scared
37:47
this
37:47
week?
37:47
I
37:47
mean
37:48
this
37:48
is
37:48
some
37:48
really
37:49
interesting
37:49
data.
37:49
What's
37:50
your
37:50
read
37:50
on
37:50
this
37:50
headline?
37:51
Yeah,
37:51
and
37:51
let's
37:51
not
37:52
forget
37:52
that
37:52
Meta
37:52
announced
37:53
their,
37:53
you
37:54
know,
37:54
search
37:54
competitor
37:55
with
37:55
ChatGPT
37:56
this
37:56
last
37:56
week
37:57
too.
37:57
So
37:57
yes,
37:57
I
37:58
would
37:58
say
37:58
this
37:58
is
37:59
something
37:59
that
38:00
everyone
38:01
needs.
38:02
Every
38:02
platform
38:02
right
38:03
now
38:03
needs
38:03
to
38:03
be
38:04
thinking
38:04
about
38:04
the
38:05
role
38:05
that
38:05
they
38:05
play
38:06
in
38:06
new
38:06
search
38:07
behaviors.
38:08
And
38:08
I
38:08
think
38:08
Pinterest
38:09
has
38:09
an
38:09
especially
38:10
important
38:10
role
38:10
to
38:11
play
38:11
because
38:11
I
38:12
think
38:12
that
38:13
what
38:13
we're
38:13
finding
38:14
especially
38:14
with
38:14
younger,
38:15
the
38:15
younger
38:15
demographic
38:16
is
38:17
was
38:17
clear
38:18
in
38:18
some
38:18
of
38:18
the
38:18
stats
38:18
that
38:19
you
38:19
just
38:19
gave.
38:19
Chris
38:19
us
38:20
image
38:20
based
38:21
search
38:21
is
38:22
growing
38:22
in
38:23
popularity.
38:23
This
38:24
is
38:24
how
38:24
people
38:24
are.
38:25
They're
38:25
discovering
38:26
products.
38:27
And
38:27
now
38:27
we
38:27
heard
38:28
Sean
38:28
Scott
38:28
from
38:28
Google
38:29
again
38:29
at
38:30
at
38:30
Shop
38:30
Talk
38:31
just
38:31
a
38:31
few
38:31
weeks
38:31
ago
38:31
said
38:32
that
38:32
20%
38:33
of
38:33
image
38:34
based
38:34
searches
38:35
are
38:35
are
38:35
commerce
38:36
related
38:37
so
38:37
they
38:37
result
38:37
in
38:38
a
38:38
commerce
38:38
based
38:38
purchase.
38:39
And
38:39
I
38:39
think
38:39
that
38:39
Pinterest
38:40
is
38:40
playing
38:40
a
38:41
really
38:41
important
38:41
role
38:41
here.
38:42
I
38:42
contacted
38:43
two
38:43
people
38:44
who
38:44
are
38:45
in
38:45
their
38:45
designers
38:46
and
38:46
stylists
38:47
and
38:47
they
38:48
are
38:48
Using
38:49
Pinterest
38:49
all
38:50
the
38:50
time,
38:50
exclusively
38:51
for
38:51
search.
38:51
I
38:52
don't
38:52
personally
38:52
with
38:53
my
38:53
own
38:53
search
38:53
behavior,
38:54
but
38:54
they
38:55
said,
38:55
they
38:55
said
38:55
similar
38:56
things
38:56
to
38:57
what
38:57
you
38:57
are
38:57
calling
38:58
out
38:58
here.
38:58
It's
38:59
more
38:59
tailored
38:59
to
38:59
them.
39:00
It
39:00
gives
39:00
them
39:01
visual
39:01
representation
39:02
of
39:02
the
39:02
things
39:02
that
39:02
they're
39:03
searching,
39:03
which
39:03
again
39:04
I
39:04
think
39:04
is
39:04
so
39:06
contrary
39:06
to
39:07
how
39:07
we've
39:07
all
39:08
searched
39:08
in
39:08
the
39:08
past.
39:08
It's
39:09
always
39:09
been
39:09
text
39:10
based
39:10
search
39:10
and
39:11
now
39:11
that
39:11
we
39:11
have
39:12
tools
39:12
like
39:12
Lens,
39:13
like,
39:14
you
39:14
know,
39:14
search
39:15
image
39:15
based
39:15
search
39:16
finders
39:16
on
39:16
sites
39:17
like
39:17
Wayfair
39:17
or
39:18
on
39:18
Pinterest,
39:18
you're
39:19
able
39:19
to
39:19
search
39:20
in
39:20
this
39:20
new
39:20
way.
39:21
And
39:21
for
39:21
a
39:21
lot
39:22
of
39:22
people
39:22
it's
39:22
merging
39:23
those
39:23
worlds
39:24
of
39:24
discovery
39:25
and
39:25
search
39:26
together
39:27
and,
39:27
and
39:27
giving
39:28
you
39:28
a
39:28
new
39:28
way
39:28
to
39:28
do
39:28
that.
39:29
So
39:29
I,
39:29
I
39:30
think
39:30
that
39:30
this
39:30
is
39:30
actually
39:31
bigger
39:32
news
39:32
and,
39:33
and
39:33
probably
39:34
one
39:34
of
39:34
the,
39:35
the
39:35
bigger
39:35
moves
39:36
from
39:36
Pinterest.
39:36
I
39:36
know
39:37
they've
39:37
been
39:37
trying
39:37
to
39:37
do
39:37
this
39:38
for
39:38
a
39:38
long
39:38
time,
39:39
but
39:39
I
39:39
think
39:39
that
39:39
it's
39:40
going
39:40
to
39:40
be
39:40
a
39:40
big
39:41
move
39:41
for
39:41
them
39:41
as
39:42
they
39:42
kind
39:42
of
39:42
stake
39:42
their
39:43
claim
39:43
as
39:43
being
39:44
the
39:44
go
39:44
to
39:45
for
39:45
visual
39:46
based
39:46
search
39:47
when
39:47
you're
39:47
looking
39:48
to
39:48
find
39:48
a
39:48
product
39:49
or
39:49
find
39:50
similar
39:50
products
39:51
to
39:51
something
39:52
that
39:52
you
39:52
see
39:52
out
39:53
in
39:53
the
39:53
world.
39:53
Ben,
39:54
what,
39:54
what
39:54
did
39:54
you
39:54
agree
39:55
with?
39:55
What
39:55
do
39:55
you
39:55
disagree
39:56
with?
39:56
What
39:56
would
39:56
you
39:56
add
39:56
to
39:56
what
39:57
Ben
39:57
said
39:57
or
39:57
to
39:58
what
39:58
angel
39:58
said?
39:59
So
40:00
on
40:01
substance,
40:01
I
40:01
comp.
40:02
I
40:02
completely
40:02
agree,
40:03
Anne.
40:03
I
40:03
completely.
40:04
I
40:04
think,
40:04
you
40:04
know,
40:05
the
40:05
fragmentation
40:05
of
40:06
search
40:06
is
40:06
one
40:06
of
40:07
the
40:07
big
40:07
trends
40:08
that
40:08
retailers
40:08
and
40:08
brands
40:09
need
40:09
to
40:09
be
40:09
paying
40:09
attention
40:10
to
40:10
right
40:11
now.
40:11
It
40:11
was
40:12
one
40:12
of
40:12
our
40:12
big
40:12
trends
40:13
in
40:13
the
40:13
shop
40:14
retail
40:14
site
40:14
guys
40:15
that
40:15
are
40:15
prepared
40:16
for
40:16
our
40:16
Vegas
40:16
show
40:16
back
40:17
in
40:17
March.
40:17
And,
40:18
and
40:18
I
40:18
agree
40:18
that
40:19
Pinterest
40:19
are
40:19
doing
40:20
some
40:20
really
40:20
good
40:20
work
40:21
in
40:21
this
40:21
space.
40:21
I
40:21
think
40:21
there's
40:22
been
40:22
some
40:22
more
40:22
recent
40:22
announcements
40:23
just
40:23
this
40:23
week
40:24
about
40:24
some
40:24
of
40:25
the
40:25
AI
40:25
tools
40:25
that
40:25
they're
40:26
building
40:26
in.
40:26
So
40:28
really
40:28
great.
40:29
And
40:29
this
40:29
is
40:30
something
40:30
that's
40:30
got
40:30
real
40:30
world
40:30
implications
40:31
of,
40:32
you
40:32
know,
40:32
understanding
40:33
how
40:34
to,
40:34
and
40:34
where
40:34
to
40:35
influence
40:35
shoppers
40:36
and
40:36
how
40:37
to
40:37
help
40:37
them
40:37
discover
40:38
products
40:38
is
40:38
huge
40:39
and
40:39
it
40:39
leads
40:40
to
40:40
where
40:40
you
40:40
invest
40:40
your
40:41
marketing
40:41
dollars.
40:42
So
40:42
I
40:43
think
40:43
it's
40:43
a
40:43
big
40:43
trend.
40:44
I
40:44
want
40:44
to
40:44
understand,
40:47
but
40:48
I'm
40:48
gonna
40:48
have
40:48
to
40:48
go
40:48
on
40:48
a
40:49
rant.
40:49
Can
40:49
I,
40:49
can
40:49
I
40:49
have
40:49
a
40:50
rant?
40:50
Yeah,
40:50
please
40:50
do.
40:51
All
40:51
right.
40:52
Because
40:52
I've
40:52
got
40:53
to
40:53
give,
40:53
I
40:54
want
40:54
to
40:54
give
40:54
a
40:54
slap
40:54
on
40:55
the
40:55
wrists
40:55
for
40:55
Adobe
40:56
Express,
40:56
their
40:57
PR
40:57
team
40:57
on
40:58
this,
40:58
the
40:58
journalists
40:59
who've
40:59
done
40:59
it.
41:00
This
41:00
is
41:00
not
41:01
good
41:01
research.
41:02
This
41:02
is
41:03
so,
41:04
I
41:04
mean,
41:05
whenever
41:06
you
41:06
have
41:06
did
41:06
research,
41:07
he's
41:07
got
41:07
to
41:07
pass
41:07
the
41:07
sniff
41:08
test
41:08
really
41:08
quickly.
41:09
And
41:09
the
41:10
headline
41:10
is
41:10
36%
41:11
of
41:11
consumers
41:12
start
41:12
their
41:12
search
41:13
on
41:13
Pinterest
41:13
instead
41:14
Google.
41:15
That's
41:15
just
41:16
not
41:16
right.
41:17
Yeah,
41:18
like,
41:18
come
41:18
on,
41:18
come
41:18
on,
41:19
just
41:20
stand
41:20
up
41:20
in
41:20
your
41:20
office,
41:21
get
41:21
10
41:21
people.
41:22
Where
41:22
do
41:22
you
41:22
start
41:22
your
41:23
search?
41:23
Put
41:23
your
41:23
hands
41:23
up.
41:24
If
41:24
it's
41:24
Google
41:24
or
41:24
Pinterest,
41:25
you
41:25
can
41:25
disprove
41:26
that
41:26
one.
41:26
So
41:27
the
41:27
analyst,
41:28
I
41:28
have
41:28
dug
41:28
into
41:28
it.
41:29
This
41:29
is
41:29
a
41:29
survey
41:30
based
41:30
on
41:30
just
41:31
800
41:31
people
41:32
on
41:32
one
41:32
day
41:33
in
41:33
March.
41:34
That's
41:34
not
41:35
enough
41:35
to
41:35
draw
41:35
conclusions
41:36
on.
41:36
There's
41:36
no
41:36
details
41:36
on
41:37
geographic
41:37
representation.
41:38
And
41:39
then
41:40
the
41:40
numbers
41:40
that
41:41
they
41:41
quote
41:41
are
41:41
actually
41:41
only
41:42
for
41:42
people
41:42
who've
41:43
said
41:43
yes,
41:43
they
41:43
do
41:44
use
41:44
Pinterest.
41:45
So
41:45
actually
41:46
this
41:46
36%
41:47
stat
41:47
is
41:47
only
41:47
36%
41:48
of
41:48
the
41:49
nine
41:49
of
41:49
the
41:49
39%.
41:50
We're
41:50
getting
41:50
really
41:50
geeky.
41:51
But
41:51
even
41:52
then
41:53
I'm
41:53
not
41:53
buying
41:53
it.
41:54
So
41:55
look,
41:56
I
41:56
think
41:57
there's
41:57
a
41:57
really
41:57
important
41:58
story
41:58
here.
41:59
I've
42:00
got
42:00
the
42:00
privilege
42:00
in
42:00
my
42:01
role
42:01
of
42:01
getting
42:01
to
42:02
assess
42:02
and
42:02
coordinate
42:03
work
42:03
with
42:03
research
42:04
companies
42:05
about
42:05
the
42:05
topics
42:06
that
42:06
we
42:06
put
42:06
on
42:06
show.
42:06
I
42:07
would
42:07
not
42:07
put
42:07
this
42:07
research
42:08
on
42:08
our
42:08
stage.
42:09
This,
42:09
this,
42:09
there's
42:10
some
42:10
great,
42:11
really
42:12
great,
42:12
innovative
42:13
consumer
42:14
research
42:14
out
42:14
there.
42:17
And
42:17
unfortunately
42:18
this
42:18
falls
42:18
short
42:18
of
42:18
it.
42:20
It's
42:20
such
42:20
an
42:21
important
42:21
topic.
42:21
That's
42:22
why
42:22
it's
42:22
kind
42:22
of
42:22
wound
42:22
me
42:22
up.
42:23
So
42:24
I,
42:24
anyway,
42:24
rant
42:25
over
42:26
unless,
42:26
please
42:27
disagree
42:27
with
42:27
me.
42:28
But
42:28
I,
42:28
I,
42:29
I
42:29
don't
42:29
buy
42:29
the
42:29
numbers
42:30
at
42:30
all.
42:30
No,
42:30
I,
42:31
I'm
42:31
seeing
42:31
Hallelujah.
42:32
I
42:32
wanna,
42:32
I'll
42:33
say
42:33
why
42:33
I
42:33
don't
42:33
want
42:33
to
42:33
go
42:33
back
42:34
to
42:34
Ed
42:34
to
42:34
see
42:34
if
42:34
she
42:34
wants
42:35
to
42:35
reframe
42:35
her
42:35
points.
42:35
But
42:36
like,
42:36
like,
42:36
yeah,
42:37
I
42:37
mean,
42:37
hallelujah,
42:38
this
42:38
is
42:38
why
42:38
we
42:38
started
42:39
this
42:39
show
42:39
is
42:39
to
42:40
pick
42:40
apart
42:40
what
42:41
is
42:41
real
42:41
and
42:41
not
42:41
real
42:42
in
42:42
the
42:42
media
42:42
from
42:43
the
42:43
perspective
42:43
of,
42:44
of
42:44
the
42:44
three
42:44
of
42:45
us
42:45
really,
42:45
as
42:45
examples
42:46
of
42:46
people
42:46
that
42:47
have
42:47
done
42:47
and
42:47
lived
42:47
this,
42:47
you
42:48
on
42:48
the
42:48
research
42:48
side,
42:48
us
42:49
on
42:49
the
42:49
retailer
42:49
side.
42:50
And
42:50
100.
42:51
Like,
42:51
I
42:51
don't
42:51
even
42:51
know
42:52
how
42:52
they're
42:52
defining
42:52
search
42:53
because
42:53
when
42:53
was
42:53
the
42:53
last
42:54
time
42:54
I
42:54
went
42:54
to
42:54
Pinterest
42:54
for
42:55
general
42:55
information,
42:56
like,
42:56
who
42:56
was
42:56
president
42:57
in
42:57
1962?
42:58
Like,
42:58
I'm
42:58
not
42:58
going
42:59
to
42:59
Pinterest
42:59
for
42:59
that.
42:59
And
43:00
that's
43:00
part
43:00
of
43:00
a
43:00
search
43:01
query.
43:01
So
43:01
like,
43:01
I
43:01
don't
43:02
understand
43:02
that.
43:02
And
43:03
then
43:03
the
43:03
other
43:03
point,
43:03
Ben,
43:04
I'll,
43:04
I'll,
43:04
I'll,
43:04
I'll
43:04
take
43:05
your
43:05
rat
43:05
and,
43:05
and
43:06
see,
43:06
I'll
43:06
call
43:06
the
43:06
rat
43:07
and,
43:07
and
43:07
meet
43:07
it
43:08
at
43:08
where
43:08
it
43:08
was.
43:08
But
43:09
like,
43:10
getting
43:10
people
43:10
to
43:10
search
43:11
on
43:11
Pinterest
43:11
is
43:11
one
43:12
thing,
43:12
but
43:12
getting
43:12
them
43:12
to
43:12
conduct
43:13
commerce
43:13
is
43:13
another
43:14
thing.
43:14
And
43:14
we've
43:14
heard,
43:15
I've
43:15
heard
43:15
on
43:16
stage
43:16
many
43:16
times
43:17
at
43:17
shop
43:17
talk
43:18
and
43:18
other
43:18
conferences
43:18
is
43:18
pictures
43:19
positioning
43:19
themselves
43:20
to
43:20
do
43:20
that.
43:21
And
43:21
even
43:21
the
43:21
article
43:22
says
43:22
the
43:22
retailers
43:23
don't
43:23
know
43:23
how
43:23
to
43:23
use
43:23
it
43:24
for
43:24
that.
43:24
And
43:24
so
43:24
that's
43:25
still
43:25
a
43:25
fundamental
43:26
problem.
43:26
But
43:26
I
43:27
am
43:27
buying
43:27
100,
43:28
like
43:28
you
43:28
said,
43:28
into
43:29
search
43:29
changing
43:30
and
43:30
people
43:30
need
43:31
to
43:31
think
43:31
about
43:31
it
43:31
because
43:32
I
43:32
mentioned
43:32
the
43:32
Kentucky
43:33
Derby
43:33
at
43:33
the
43:33
outset.
43:33
I
43:33
said
43:34
this
43:34
to
43:34
Anne
43:34
yesterday.
43:35
We
43:35
were
43:35
sitting
43:35
back
43:36
at
43:36
the
43:36
end
43:36
of
43:36
our
43:36
weekend
43:36
and
43:37
I
43:37
said
43:37
to
43:37
my
43:37
buddies,
43:37
I
43:37
said,
43:38
you
43:38
know
43:38
who
43:38
won
43:38
the
43:39
weekend?
43:39
Chat
43:40
freaking
43:40
GPT.
43:41
We
43:41
were
43:41
using
43:42
chat
43:42
GPT
43:43
every
43:43
single
43:44
day,
43:44
every
43:45
single
43:45
hour
43:45
to
43:46
do
43:46
everything.
43:47
It
43:47
was
43:47
wild.
43:48
And
43:48
I've
43:48
never
43:48
seen
43:49
adoption
43:49
to
43:49
that
43:50
point
43:50
so
43:50
quickly
43:51
happen.
43:52
And
43:52
so
43:52
yes,
43:52
that's,
43:53
that's
43:53
absolutely
43:54
gonna,
43:54
going
43:54
to
43:55
continue
43:55
to
43:55
change
43:55
the
43:55
landscape
43:56
here.
43:56
But
43:56
Anne,
43:56
what
43:56
do
43:56
you
43:56
think?
43:57
Are
43:57
you
43:57
revising
43:57
your,
43:58
your
43:58
bullishness
43:59
on
43:59
Pinterest
43:59
at
44:00
all
44:00
given.
44:01
Not
44:01
in
44:01
a
44:01
shopping
44:02
context.
44:03
Not
44:03
in
44:03
a
44:03
shopping
44:04
context
44:04
at
44:04
all.
44:05
Because
44:05
I
44:05
think
44:05
that
44:06
you're
44:06
talking,
44:06
I
44:07
totally
44:07
agree
44:07
with
44:08
what
44:08
you
44:08
guys
44:08
are
44:08
saying
44:08
from
44:09
a
44:09
search
44:09
perspective.
44:10
Like
44:10
if
44:10
I'm
44:11
going
44:11
to
44:11
find
44:11
out
44:12
who
44:12
the
44:12
president
44:12
was
44:13
in,
44:13
you
44:13
know,
44:14
1923,
44:16
like,
44:16
yes,
44:16
I'm
44:16
not
44:17
going
44:17
to
44:17
go
44:17
to
44:17
Pinterest
44:18
for
44:18
that
44:18
search.
44:18
But
44:18
I
44:18
think
44:19
if
44:19
you're
44:19
talking
44:19
about
44:20
intent
44:21
to
44:21
purchase
44:22
or
44:22
intent
44:23
to
44:23
inspire
44:24
a
44:24
commerce
44:25
based
44:25
purchase,
44:25
I
44:26
do
44:26
think
44:26
that
44:26
Pinterest
44:27
has
44:27
a
44:27
role
44:28
to
44:28
play
44:28
here
44:29
that
44:29
we
44:29
have
44:30
to
44:30
give
44:30
credit
44:30
to.
44:31
I
44:31
do
44:31
think
44:32
that
44:32
there
44:32
are
44:32
people
44:33
who
44:33
are
44:33
going
44:33
to
44:34
Pinterest
44:34
for
44:34
these
44:34
searches.
44:36
We
44:36
may
44:37
not
44:37
be
44:37
of
44:37
that
44:38
group
44:38
that's
44:39
doing
44:39
that,
44:39
but
44:39
I
44:39
do
44:40
think
44:40
that
44:40
it's
44:40
important
44:41
for
44:41
brands
44:41
to
44:42
recognize,
44:42
even
44:42
when
44:43
you're
44:43
going
44:43
to
44:43
chatgpt
44:44
or
44:44
Perplexity
44:45
or
44:46
Gemini
44:46
to
44:46
conduct
44:47
searches
44:47
for
44:48
product
44:48
or
44:48
you're
44:49
using
44:49
Lens
44:49
for
44:49
a
44:49
search
44:50
for
44:50
product,
44:51
they
44:51
are
44:52
returning
44:53
Pinterest
44:53
results
44:54
in
44:54
those
44:54
searches.
44:55
So
44:55
I
44:55
think
44:55
there,
44:55
there
44:56
is
44:56
a
44:56
connection
44:56
point
44:57
here.
44:57
I
44:57
think
44:57
it's
44:57
just,
44:58
just
44:58
not
44:59
all
44:59
search
44:59
is
44:59
going
45:00
in
45:00
that
45:00
direction.
45:01
And
45:01
that's
45:01
why
45:01
I
45:01
was,
45:02
I
45:02
was
45:02
really
45:02
focused
45:03
in
45:03
at
45:03
the
45:03
beginning
45:04
of
45:04
this
45:04
conversation
45:04
on
45:05
the
45:05
ways
45:06
that
45:06
search
45:06
is
45:06
changing
45:07
with
45:07
image
45:07
based
45:08
search
45:08
being
45:08
a,
45:09
a
45:09
core
45:09
function
45:10
that
45:10
Pinterest
45:11
can
45:11
provide
45:12
here.
45:12
Yeah,
45:13
and,
45:13
and
45:13
I,
45:13
look,
45:13
I,
45:14
I
45:14
really
45:14
agree
45:14
and
45:14
this
45:14
is
45:15
what,
45:15
this
45:15
is
45:15
what
45:15
wound
45:16
me
45:16
up
45:16
about
45:16
that
45:16
press
45:17
release
45:17
because
45:17
you're
45:18
absolutely
45:18
right
45:18
and
45:18
you,
45:19
and
45:19
it's
45:19
so
45:19
important
45:20
for
45:20
everybody
45:20
to
45:20
understand
45:21
how
45:21
this
45:21
is
45:21
changing.
45:24
I
45:24
think
45:25
data
45:25
that
45:25
I've
45:26
seen
45:26
that
45:26
I
45:26
would
45:26
more
45:26
buy
45:27
into
45:27
says,
45:28
yeah,
45:28
okay,
45:29
look
45:29
across
45:29
the
45:30
whole
45:30
search
45:30
environment,
45:31
Google
45:32
dominates
45:33
and
45:33
search
45:33
engines
45:34
dominate,
45:34
but
45:34
commerce
45:35
is
45:35
different.
45:36
So
45:36
yes,
45:37
search
45:38
engines
45:38
are
45:38
really
45:39
important
45:39
Google
45:40
dominates,
45:41
but
45:41
then
45:41
retailer
45:42
owned
45:42
properties
45:42
both
45:43
online
45:44
and
45:44
in
45:44
store.
45:45
That's
45:45
how
45:45
people
45:45
discover
45:46
products
45:47
are
45:47
really
45:47
important.
45:48
And
45:48
within
45:48
that
45:49
market,
45:50
Amazon
45:50
Search
45:51
completely
45:52
dominates.
45:53
And
45:53
then
45:54
you've
45:54
got
45:54
social
45:54
media
45:55
and
45:55
social
45:55
media
45:56
is
45:56
10
45:57
to
45:57
20%
45:58
and
45:58
it's
45:58
growing
45:58
and
45:59
it's
45:59
changing.
46:00
But
46:00
within
46:00
that
46:00
Meta
46:01
still
46:01
dominates.
46:02
That's
46:02
why
46:02
Meta
46:02
and
46:03
Amazon
46:03
and
46:03
Google
46:03
have
46:04
got
46:04
such
46:04
huge
46:05
advertising
46:05
businesses.
46:06
But
46:07
the
46:08
social
46:08
media
46:08
bits
46:09
for
46:09
useful
46:09
search
46:10
is
46:10
growing.
46:10
We've
46:11
seen
46:11
it
46:11
through
46:11
TikTok,
46:12
we've
46:12
talked
46:12
about
46:12
that
46:12
before
46:13
and
46:13
Pinterest
46:14
is
46:14
absolutely
46:15
part
46:15
of
46:15
that.
46:16
What
46:17
then
46:17
becomes
46:17
really
46:18
interesting
46:19
is
46:19
to
46:19
think
46:20
how
46:20
do
46:20
you
46:20
influence
46:21
that
46:21
if
46:21
some
46:21
of
46:21
your
46:22
traditional
46:22
marketing
46:23
tools
46:24
and
46:24
your
46:25
sponsorship
46:25
aren't
46:25
available?
46:26
And
46:26
that's
46:27
exactly
46:27
what
46:27
Perplexity
46:28
told
46:28
us
46:28
in
46:29
their
46:29
keynote
46:30
at
46:30
Shop
46:30
Talk
46:31
Spring
46:31
said.
46:32
We
46:32
are
46:33
not
46:33
providing
46:34
the
46:34
ability
46:35
to
46:36
influence
46:36
search
46:37
results
46:37
commercially.
46:38
We
46:38
want
46:38
it
46:38
to
46:38
be
46:38
organic.
46:40
And
46:40
that
46:40
has
46:40
been
46:41
paying.
46:42
To
46:42
influence
46:43
search
46:43
results
46:43
is
46:43
the
46:43
number
46:44
one
46:44
bit
46:44
of
46:44
digital
46:45
marketing.
46:45
So
46:46
you
46:46
remove
46:47
that.
46:48
We
46:48
still
46:48
don't
46:48
know
46:48
what
46:48
that
46:49
market
46:49
looks
46:49
like.
46:50
So
46:50
that,
46:50
that,
46:51
you
46:51
know,
46:52
I
46:52
think
46:52
it's
46:52
fascinating
46:53
and
46:53
search
46:54
is
46:54
changing
46:55
so
46:55
quickly
46:56
and
46:56
our
46:56
ability
46:56
to,
46:57
to
46:57
influence
46:57
is
46:58
changing
46:58
so
46:58
quickly
46:59
with
46:59
it.
46:59
Well,
46:59
and
47:00
I
47:00
would
47:00
argue
47:01
even
47:01
Ben,
47:01
that
47:01
Google's
47:02
not
47:02
in
47:02
a
47:02
position
47:03
to
47:03
do
47:03
that
47:03
yet
47:03
either.
47:04
Like
47:04
Google's
47:04
still
47:05
so
47:05
focused
47:05
on
47:05
returning
47:06
the
47:06
right
47:06
search
47:06
results
47:07
that
47:07
they're
47:07
still
47:08
working
47:08
to
47:08
get,
47:08
get
47:09
to
47:09
the
47:09
level
47:09
where
47:10
commerce
47:10
is
47:10
integrated
47:11
into
47:11
the
47:11
Google
47:12
search
47:12
too.
47:13
So
47:13
I
47:13
think
47:13
that's
47:14
where
47:14
we
47:14
get
47:14
to
47:15
this
47:15
is
47:15
fair
47:15
game
47:16
search,
47:16
Search
47:17
for
47:17
commerce
47:17
is
47:18
fair
47:18
game
47:18
right
47:18
now.
47:19
And
47:19
everybody
47:20
who
47:20
is
47:20
any,
47:21
you
47:21
know,
47:22
any
47:22
search
47:22
engine,
47:22
any
47:23
social
47:23
platform,
47:24
any
47:24
brand,
47:26
you
47:26
all
47:26
need
47:27
to
47:27
be
47:27
really
47:27
thinking
47:28
about
47:29
how
47:29
you're
47:29
getting
47:29
involved
47:30
and
47:30
what
47:31
unique
47:31
proposition
47:32
you
47:32
have
47:32
to
47:32
a
47:33
consumer
47:33
to
47:33
come
47:33
to
47:34
you
47:34
first,
47:34
first
47:34
for
47:35
search.
47:35
I
47:35
didn't
47:36
even
47:36
talk
47:36
about
47:36
the
47:36
agentic
47:37
AI
47:37
angle
47:37
in
47:37
that
47:38
whole
47:38
discussion
47:38
either,
47:38
which
47:39
just
47:39
adds
47:40
a
47:40
whole
47:40
nother
47:40
layer
47:41
to
47:41
the
47:41
discussion,
47:41
which
47:42
we
47:42
don't
47:42
have
47:42
time
47:42
for
47:42
today.
47:43
But
47:43
we
47:43
talked
47:43
a
47:43
little
47:43
bit
47:44
about
47:44
it
47:44
last
47:44
week.
47:44
I
47:44
mean,
47:45
your
47:46
head
47:46
just
47:46
starts
47:46
to
47:46
spin
47:47
in
47:47
terms
47:47
of
47:47
where
47:47
this
47:48
all
47:48
goes,
47:48
right?
47:49
Absolutely.
47:50
All
47:50
right,
47:50
let's
47:50
go
47:50
to
47:50
headline
47:51
number
47:51
five.
47:51
Lowe's
47:52
has
47:52
rolled
47:52
out
47:53
an
47:53
AI
47:53
assistant
47:54
for
47:54
Store
47:54
Associates
47:55
according
47:55
to
47:55
Chain
47:55
Storage.
47:56
Again,
47:57
Lowe's
47:57
is
47:57
introducing
47:58
Milo
47:59
Companion,
48:00
an
48:00
AI
48:00
enabled
48:01
employee
48:01
app
48:02
developed
48:02
in
48:02
partnership
48:02
with
48:03
OpenAI.
48:03
The
48:04
app
48:04
provides
48:04
access
48:05
to
48:05
product
48:05
details,
48:06
project
48:06
advice
48:06
and
48:07
inventory
48:07
information,
48:08
and
48:08
also
48:08
speeds
48:09
up
48:09
the
48:09
employee
48:10
onboarding
48:10
process.
48:11
According
48:11
to
48:12
Lowe's,
48:12
the
48:12
launch
48:13
of
48:13
Milo
48:13
Companion
48:14
to
48:14
all
48:14
associates
48:14
across
48:15
its
48:15
more
48:16
than
48:16
1700
48:17
stores
48:17
marks
48:17
the
48:18
first
48:18
time
48:18
a
48:18
retailer
48:19
has
48:19
successfully
48:19
implemented
48:20
this
48:20
type
48:21
of
48:21
technology
48:21
at
48:22
scale.
48:22
Milo
48:23
Companion
48:23
uses
48:24
generative
48:24
AI
48:24
to
48:24
let
48:25
associates
48:25
obtain
48:26
answers
48:26
to
48:27
customer
48:27
inquiries
48:28
using
48:28
natural
48:29
conversational
48:30
prompts,
48:30
including
48:31
voice
48:31
to
48:31
text
48:31
for
48:32
faster
48:32
hands
48:32
free
48:33
use.
48:33
The
48:33
prompts
48:34
can
48:34
include
48:34
inquiries
48:35
like
48:35
what
48:36
kind
48:36
of
48:36
fertilizer
48:37
works
48:37
best
48:37
for
48:37
Bermuda
48:38
grass?
48:38
Or
48:39
how
48:39
can
48:39
I
48:39
fix
48:39
a
48:39
leaky
48:40
faucet
48:40
and
48:41
receive
48:41
actionable
48:42
information
48:42
on
48:42
the
48:42
handheld
48:43
devices
48:43
that
48:44
they
48:44
already
48:44
use.
48:45
Ben,
48:47
you
48:47
get
48:47
this
48:48
question
48:48
and
48:48
it
48:49
is
48:49
also
48:49
the
48:49
A
48:49
and
48:49
M
48:49
put
48:50
you
48:50
on
48:50
the
48:50
spot
48:50
question
48:51
they
48:52
want
48:52
to
48:52
know.
48:53
Ben,
48:53
if
48:54
Lowe's
48:54
customers
48:55
can
48:55
now
48:55
access
48:56
the
48:56
same
48:56
AI
48:57
assistant
48:57
as
48:57
in
48:58
Store
48:58
Associates,
48:59
do
48:59
you
48:59
think
48:59
they'll
48:59
eventually
49:00
just
49:00
turn
49:00
to
49:01
their
49:01
phones
49:01
for
49:02
In
49:02
Store
49:02
home
49:03
improvement
49:03
Asks?
49:05
I
49:06
think
49:06
it's
49:06
a
49:06
really
49:06
good
49:07
question
49:09
and
49:09
I
49:09
think
49:09
it's
49:10
okay
49:10
that
49:10
it
49:11
doesn't
49:11
have
49:11
to
49:11
be
49:11
an
49:11
either
49:12
or,
49:12
and
49:12
I
49:12
think
49:13
both
49:13
are
49:13
absolutely
49:14
fine.
49:14
So
49:15
I
49:15
really
49:16
like
49:16
this.
49:16
This
49:16
is
49:16
a
49:16
great
49:17
use
49:17
case
49:17
for
49:18
AI.
49:18
Why
49:18
is
49:19
it
49:19
a
49:19
great
49:19
use
49:19
case
49:19
for
49:20
AI?
49:21
There
49:21
are
49:21
certain
49:21
categories
49:22
where
49:23
you
49:24
a
49:24
higher
49:25
level
49:25
of
49:25
customer
49:26
service
49:26
is
49:26
really
49:27
helpful,
49:27
but
49:27
when
49:28
you
49:28
walk
49:28
into
49:28
the
49:28
store,
49:28
you've
49:29
got
49:29
no
49:29
idea
49:30
if
49:30
the
49:30
person
49:30
you're
49:30
speaking
49:31
to
49:31
has
49:31
been
49:32
in
49:32
this
49:33
category
49:33
selling
49:33
these
49:34
products
49:34
for
49:34
20
49:34
years
49:35
or
49:35
was
49:35
just
49:35
recruited
49:36
last
49:36
week
49:36
and
49:37
knows
49:37
less
49:37
about
49:37
it
49:37
than
49:38
you
49:38
do.
49:38
So
49:39
providing
49:40
tools
49:40
to
49:40
help
49:41
that
49:41
consistency
49:42
of
49:42
experience
49:43
is
49:43
great.
49:44
And
49:44
you
49:44
know
49:44
what,
49:45
if
49:45
actually
49:45
you're
49:45
stood
49:45
in
49:46
front
49:46
of
49:46
the
49:46
fixture
49:46
and
49:46
you
49:47
just
49:47
want
49:47
to
49:47
do
49:47
that
49:48
same
49:48
query
49:48
on
49:48
your
49:48
phone,
49:49
that's
49:50
okay.
49:51
It's
49:52
like
49:52
the
49:52
checkout
49:53
versus
49:53
self
49:53
checkout
49:54
option.
49:54
Sometimes
49:55
introverts
49:55
just
49:55
like
49:55
to
49:56
walk
49:56
around
49:56
the
49:56
store
49:56
without
49:56
talking
49:57
to
49:57
anybody
49:57
and
49:58
that's
49:58
okay
49:58
as
49:58
well.
49:59
So
49:59
let's
49:59
not
49:59
see
49:59
it
49:59
as
50:00
a
50:00
negative.
50:00
Yeah,
50:01
I
50:01
think
50:01
it's
50:01
fine.
50:02
You're
50:02
democratizing
50:03
the
50:03
data
50:03
and
50:03
you're
50:04
providing
50:04
a
50:04
better
50:05
quality
50:05
of
50:05
response
50:06
to
50:06
everybody
50:07
regardless
50:07
of
50:08
how
50:08
they
50:08
want
50:08
to
50:08
access
50:09
it.
50:09
And
50:09
I
50:09
think
50:10
for
50:10
that,
50:10
great.
50:11
Well
50:11
done,
50:11
Loz.
50:12
Yeah,
50:12
I
50:12
agree.
50:13
I'm
50:13
going
50:13
to
50:14
knock
50:14
the
50:14
reporting
50:15
on
50:15
this
50:15
one
50:15
a
50:15
little
50:15
bit
50:15
too
50:16
because
50:16
I
50:16
feel
50:16
like,
50:17
like
50:17
it's,
50:18
it's
50:18
just
50:18
highlighting
50:19
that
50:20
particular
50:20
use
50:20
case
50:21
of
50:21
how
50:21
to
50:21
fix
50:22
a
50:22
leaky
50:22
faucet
50:23
and
50:23
not
50:24
what
50:24
I
50:24
think
50:24
Lowe's
50:25
set
50:25
out
50:25
like.
50:26
I
50:26
think
50:26
Lowe's
50:26
deserves
50:27
more
50:27
credit
50:27
for
50:27
what
50:27
they
50:28
set
50:28
out
50:28
to
50:28
partner
50:29
with
50:29
ChatGPT
50:30
to
50:30
create
50:31
with
50:31
this
50:31
Milo
50:32
assistant,
50:32
which
50:33
really
50:33
after
50:34
talking
50:34
to
50:34
a
50:34
Lowe's
50:35
executive
50:35
earlier
50:35
this
50:35
year
50:36
who
50:36
worked
50:36
on
50:36
this
50:36
project,
50:37
which
50:37
really
50:38
was
50:38
about
50:38
how
50:38
do
50:38
we
50:39
use
50:39
this
50:39
for
50:39
onboarding,
50:40
how
50:40
do
50:40
we
50:40
help
50:41
our,
50:41
our
50:41
associates
50:42
in
50:42
the
50:42
store
50:42
who
50:43
just,
50:43
just
50:43
started
50:44
their
50:44
summer
50:44
job
50:44
at
50:44
Lowe's,
50:45
understand
50:46
very
50:46
quickly,
50:47
like
50:47
what
50:47
time
50:47
does
50:48
our
50:48
shipment
50:48
get
50:48
in,
50:49
how
50:49
quick,
50:49
you
50:49
know,
50:49
what's
50:50
our
50:50
warranty
50:50
like
50:51
on
50:51
these
50:51
power
50:51
tools
50:52
so
50:52
that
50:52
they
50:52
can
50:52
quickly
50:53
have
50:53
that
50:53
knowledge.
50:54
And
50:54
then
50:54
Lowe's
50:54
was
50:54
using
50:55
that
50:55
to
50:55
help
50:56
them
50:56
better
50:56
train
50:57
associates
50:57
in
50:57
the
50:58
future.
50:58
Like
50:58
they're
50:58
using
50:59
that
50:59
data
50:59
in
50:59
that
51:00
way.
51:00
And
51:00
I
51:01
agree.
51:01
I
51:01
think
51:02
the
51:02
idea
51:03
that
51:04
as
51:04
a
51:04
consumer,
51:05
I'm
51:05
going
51:05
to
51:05
go
51:05
up
51:05
to
51:06
the
51:06
16
51:06
year
51:07
old
51:07
for
51:07
their
51:07
first
51:07
summer
51:08
job
51:08
at
51:08
Lowe's
51:08
and
51:09
be
51:09
like,
51:09
how
51:09
do
51:09
I
51:09
fix
51:09
this
51:10
leaky
51:10
faucet?
51:10
You'll
51:11
know
51:11
real
51:11
quick
51:11
whether
51:12
or
51:12
not
51:12
you're
51:12
getting
51:12
the
51:13
expert
51:13
there
51:14
or
51:14
somebody
51:14
who's
51:15
just
51:15
going
51:15
to
51:15
collectively
51:15
look
51:16
at
51:16
ChatGPT
51:16
or
51:17
this
51:17
Milo
51:17
assistant
51:18
with
51:18
you
51:18
on
51:18
it.
51:19
But
51:19
I
51:20
think
51:20
there's
51:20
still
51:20
value
51:21
here
51:22
in
51:22
what
51:22
Milo
51:23
was
51:23
set
51:23
out
51:23
to
51:24
do.
51:24
But
51:24
Chris,
51:24
do
51:24
you
51:25
agree
51:25
with
51:25
that
51:25
or
51:26
are
51:26
you,
51:26
are
51:27
you
51:27
still,
51:28
are
51:28
you
51:28
thinking
51:28
that
51:29
you're
51:29
not
51:29
going
51:29
to,
51:29
you'd
51:30
look
51:30
this
51:30
up
51:30
yourself?
51:31
I
51:31
think
51:31
100%
51:32
I
51:32
look,
51:32
I'd
51:32
look
51:33
this
51:33
up
51:33
myself,
51:33
but
51:34
I
51:34
think
51:34
there's
51:34
still
51:34
value
51:35
in
51:35
it.
51:35
You
51:35
know,
51:36
like
51:36
if,
51:36
if
51:36
I
51:36
don't
51:36
know
51:36
how
51:36
to
51:37
fix
51:37
a
51:37
leaky
51:38
faucet,
51:38
I
51:38
don't
51:38
want
51:38
to
51:39
stand
51:39
there
51:39
as
51:39
a
51:39
sales
51:39
associate
51:40
get,
51:40
you
51:40
know,
51:41
chat
51:41
GPTs
51:42
that
51:42
for
51:42
an
51:42
answer
51:42
for
51:42
me
51:43
when
51:43
I
51:43
could
51:43
just
51:43
do
51:43
that
51:43
myself.
51:44
That
51:44
just
51:44
makes,
51:45
that
51:45
makes
51:45
no
51:45
sense.
51:46
So,
51:46
so,
51:46
and
51:47
again,
51:47
in
51:47
addition
51:47
to
51:48
media
51:48
though,
51:48
I
51:48
think,
51:49
I
51:49
think
51:50
Lowe's
51:50
PR
51:50
deserves
51:51
some,
51:52
some,
51:52
some
51:52
tarnish
51:53
here
51:53
on,
51:54
on
51:54
their,
51:54
on,
51:54
on
51:55
them
51:55
as
51:55
well.
51:55
And,
51:55
and
51:55
I
51:56
like
51:56
Lowe's
51:56
pr.
51:56
We've
51:57
worked
51:57
with
51:57
them
51:57
a
51:57
lot
51:57
of
51:57
times.
51:58
But
51:58
like,
51:59
like
51:59
Chase
52:00
Rage
52:00
didn't
52:00
get
52:00
the
52:00
line
52:01
about
52:01
the
52:01
fertilizer
52:02
and
52:02
the
52:02
leaky
52:02
faucet
52:03
on
52:03
their
52:03
own.
52:03
That
52:03
was
52:03
fed
52:04
to
52:04
them
52:04
through
52:04
like
52:04
their
52:05
communications
52:05
team.
52:06
And
52:06
so
52:06
they're,
52:06
they're
52:06
picking
52:07
up
52:07
and
52:07
running
52:07
with
52:07
it.
52:08
And
52:08
so,
52:08
so,
52:08
and
52:08
that's
52:09
where
52:09
the
52:09
disservice
52:09
comes
52:10
in
52:10
I
52:10
think
52:10
for
52:10
the,
52:11
the
52:11
retail
52:11
industry
52:11
overall,
52:12
because
52:12
they're
52:12
looking
52:12
at
52:13
this,
52:13
they're
52:13
seeing
52:13
those
52:13
use
52:14
cases
52:14
and
52:14
then
52:14
some
52:14
people
52:15
are
52:15
probably
52:15
going,
52:15
oh,
52:15
do
52:16
we
52:16
need
52:16
tools
52:17
to
52:17
arm
52:17
our
52:17
sales
52:18
associates
52:18
to
52:18
make
52:18
them
52:19
better
52:19
at
52:19
their
52:19
jobs?
52:20
Probably
52:20
not
52:21
in
52:21
this
52:21
way
52:21
because
52:22
at
52:22
the
52:22
end
52:22
of
52:22
the
52:22
day
52:22
we
52:23
already
52:23
know
52:23
people
52:23
go
52:24
into
52:24
the
52:24
stores
52:24
and
52:24
think
52:25
that
52:25
they
52:25
know
52:25
more
52:25
than
52:26
the
52:26
associate
52:26
anyway
52:27
because
52:27
they
52:27
probably
52:27
been
52:27
in
52:28
the
52:28
job
52:28
for
52:28
like
52:28
two
52:28
weeks.
52:29
Right.
52:29
So
52:29
that
52:29
phenomenon
52:30
is
52:30
still
52:30
going
52:30
to
52:30
be
52:30
there.
52:31
But
52:31
from
52:31
a,
52:32
from
52:32
a
52:32
training
52:33
perspective,
52:34
it's
52:34
important.
52:35
Even
52:35
as
52:35
a
52:35
Great
52:36
tool
52:36
to
52:36
assist
52:36
the
52:37
high
52:37
consideration
52:38
sale
52:38
where,
52:39
you
52:39
know,
52:39
like,
52:39
you're.
52:39
You're
52:40
having
52:40
to
52:40
walk
52:40
people
52:40
through
52:41
a
52:41
flooring
52:41
installation
52:42
as
52:42
an
52:42
example
52:42
or
52:43
something
52:43
like
52:43
that.
52:43
Like,
52:44
that
52:44
can
52:44
then
52:45
prompt
52:45
the
52:45
sales
52:45
associate
52:46
for
52:46
like,
52:46
these
52:46
are
52:46
the
52:46
questions
52:47
you
52:47
need
52:47
to
52:47
ask
52:47
based
52:48
on
52:48
the
52:48
responses
52:48
that
52:49
you're
52:49
hearing
52:49
from
52:49
them
52:49
to
52:50
understand
52:50
more
52:51
about
52:51
who
52:51
they
52:51
are.
52:52
Or
52:52
you
52:52
can
52:52
pipe
52:52
the
52:52
loyalty
52:53
program
52:53
into
52:53
those
52:54
employee
52:54
devices
52:54
too
52:55
and
52:55
get
52:55
all
52:56
the
52:56
benefits
52:56
from
52:56
the
52:56
questions
52:57
that
52:57
you
52:57
can
52:57
ask
52:57
in
52:57
a
52:58
highly
52:58
assisted
52:58
sale.
52:59
That
52:59
stuff
53:00
matters.
53:00
But,
53:00
but,
53:01
but
53:01
the
53:01
way
53:01
the
53:01
story
53:01
is
53:01
positioned,
53:02
there's.
53:02
There's
53:02
no
53:03
way.
53:03
There's,
53:04
there's
53:04
no
53:04
way
53:04
I'm
53:04
asking
53:05
somebody.
53:05
I'm
53:05
just
53:05
gonna
53:06
chat
53:06
GPT
53:06
whatever
53:07
fertilizer
53:07
I
53:07
need
53:08
for
53:08
my
53:08
Bermuda
53:08
grass,
53:09
you
53:09
know?
53:09
Right.
53:09
I
53:10
mean,
53:10
or
53:10
you'd
53:10
have
53:10
looked
53:11
it
53:11
up.
53:11
Like,
53:11
you'd
53:11
have
53:11
looked
53:12
up
53:12
how
53:12
to
53:12
fix
53:12
your
53:12
leaky
53:13
faucet
53:13
and
53:13
made
53:14
the
53:14
list
53:14
before
53:14
you
53:15
go
53:15
into.
53:16
Yeah,
53:17
right.
53:18
For
53:18
something
53:18
simple
53:19
like
53:19
that.
53:19
100%,
53:20
yes.
53:21
All
53:21
right,
53:21
well,
53:21
let's
53:22
go
53:22
on
53:23
to
53:23
the
53:23
lightning
53:23
round,
53:24
you
53:24
guys.
53:24
Ben,
53:25
question
53:25
number
53:25
one
53:25
is
53:26
for
53:26
you.
53:26
A
53:27
recent
53:27
article
53:27
in
53:28
Food
53:28
Dive
53:28
warned
53:28
of
53:29
the
53:29
elimination
53:29
of
53:29
some
53:30
of
53:30
our
53:30
most
53:30
nostalgic
53:31
childhood
53:32
foods
53:32
due
53:32
to
53:32
regulatory
53:33
changes
53:34
in
53:34
ingredients
53:34
and
53:35
inflation,
53:35
among
53:35
other
53:36
things.
53:37
What
53:37
nostalgic
53:38
food
53:38
would
53:38
you
53:38
be
53:39
most
53:39
sad
53:39
to
53:40
see
53:40
wiped
53:40
off
53:40
of
53:41
grocery
53:41
store
53:42
shelves?
53:42
Or
53:42
perhaps
53:43
it's
53:43
already
53:43
been
53:43
wiped
53:44
off
53:44
of
53:44
shelves
53:45
in
53:45
the
53:45
UK
53:46
because
53:46
you're
53:46
much
53:47
further
53:47
along
53:47
than
53:47
we
53:47
are
53:47
in.
53:48
The
53:48
U.S.
53:49
i
53:49
know
53:49
it's.
53:50
It's
53:50
still
53:50
there,
53:51
and
53:51
it's
53:51
still
53:51
there
53:51
in
53:51
the
53:52
US
53:53
Lots
53:53
of
53:53
nostalgia
53:54
for
53:54
the.
53:55
So
53:55
in
53:55
the.
53:55
In
53:56
the
53:56
UK
53:56
we
53:56
come
53:57
Kellogg's
53:57
Variety
53:58
Pack.
53:58
I
53:58
think
53:59
in
53:59
the
53:59
US
53:59
they're
53:59
called
54:00
Fun
54:00
Pack.
54:00
You
54:01
know,
54:01
you
54:01
get
54:01
eight
54:01
little
54:02
different
54:02
types
54:02
of
54:02
Kellogg's
54:03
cereals.
54:04
So
54:04
there
54:05
was
54:05
like
54:05
a
54:05
birthday
54:05
treat,
54:06
and
54:06
it
54:06
was
54:06
the
54:07
only
54:07
time
54:07
that
54:07
I
54:08
ever
54:08
got
54:08
sugary
54:09
or
54:09
chocolatey
54:09
breakfast
54:10
cereals.
54:11
So
54:12
love
54:12
those.
54:13
And
54:14
my
54:14
girls
54:15
still
54:15
love
54:15
those
54:16
to
54:16
today,
54:16
so
54:17
we
54:17
still
54:17
have
54:17
them.
54:18
My
54:18
oldest
54:18
is
54:19
needed
54:19
18.
54:19
And
54:20
yet
54:20
we
54:20
still
54:20
have
54:20
variety
54:21
packs
54:21
for
54:21
birthdays.
54:22
So,
54:22
yeah,
54:22
lots
54:23
of
54:23
nostalgia
54:23
for
54:24
those.
54:24
Oh,
54:25
my
54:25
gosh,
54:25
I
54:25
love
54:25
that.
54:26
I
54:26
thought
54:26
you
54:26
were
54:26
gonna
54:26
say
54:27
Curly
54:27
Whirly.
54:28
That
54:28
was
54:28
the
54:28
first
54:28
gift
54:29
that
54:29
you
54:29
gave
54:29
us,
54:29
Ben,
54:30
was
54:30
a
54:30
Curly
54:30
Whirly
54:31
that
54:31
we,
54:32
Chris
54:32
and
54:32
I
54:32
got
54:32
to
54:33
enjoy,
54:33
thanks
54:33
to
54:34
you.
54:34
But,
54:34
But
54:35
Kellogg's
54:35
Variety
54:35
Pack.
54:36
All
54:36
right.
54:36
Keep
54:36
making
54:37
it
54:37
Kellogg's.
54:38
Nicely
54:39
done.
54:39
All
54:39
right,
54:39
Number
54:40
number
54:40
two,
54:40
it's
54:41
National
54:41
Teacher
54:42
Appreciation
54:42
this
54:43
week
54:43
here
54:43
in
54:43
the
54:43
United
54:44
States.
54:44
Ben,
54:44
who
54:45
is
54:45
one
54:45
teacher
54:45
in
54:46
your
54:46
life
54:46
that
54:46
you
54:46
would
54:46
like
54:47
to
54:47
give
54:47
a
54:47
nod
54:47
of
54:48
thanks
54:48
to
54:48
on
54:49
this
54:49
podcast.
54:50
Oh,
54:50
man.
54:51
I'd
54:51
like
54:51
to
54:51
give
54:52
a
54:52
nod
54:52
to
54:52
Mr.
54:53
Sheehan.
54:53
And
54:53
Mr.
54:54
Sheehan
54:54
was
54:54
my
54:55
grade
54:56
seven
54:57
to
54:57
nine
54:58
business
54:59
and
54:59
economics
55:00
teacher.
55:01
So
55:01
at
55:02
a
55:02
small
55:02
school
55:03
in
55:03
sort
55:03
of
55:03
rural
55:04
Yorkshire,
55:05
completely
55:05
opened
55:06
my
55:06
eyes
55:06
to
55:06
the
55:06
world
55:07
of
55:07
commerce
55:07
and
55:07
finance.
55:08
And
55:08
I've
55:08
been
55:08
fascinated
55:09
ever
55:09
since.
55:09
So,
55:10
yeah,
55:11
thanks,
55:11
Mr.
55:11
Sheeran.
55:12
I
55:12
appreciate
55:12
you.
55:13
Oh,
55:14
my
55:14
God,
55:14
that's
55:15
amazing.
55:15
Mr.
55:16
Sheehan.
55:16
Changing
55:17
lives
55:17
one
55:17
kid
55:18
at
55:18
a
55:18
time.
55:18
Question
55:19
number
55:19
three,
55:19
Ben.
55:20
According
55:20
to
55:21
JOR
55:21
CEO
55:22
Kristen
55:22
Sevilla
55:23
in
55:23
a
55:23
recent
55:23
payments
55:24
article,
55:25
76%
55:25
of
55:25
retailers
55:26
outside
55:26
the
55:27
US
55:27
will
55:27
not
55:27
shop
55:28
U.
55:28
S
55:28
brands
55:29
because
55:29
they
55:30
can
55:30
no
55:30
longer
55:30
do
55:31
so
55:31
profitably.
55:32
What
55:32
is
55:32
one
55:33
clothing
55:33
item
55:34
that
55:34
you
55:34
would
55:34
smuggle
55:35
back
55:35
to
55:35
the
55:36
UK
55:36
to
55:36
sell
55:36
out
55:37
of
55:37
your
55:37
boot
55:37
and
55:38
make
55:38
a
55:38
killing
55:38
off
55:39
of?
55:39
I
55:40
love
55:40
the
55:40
use
55:41
of
55:41
boot,
55:41
raven
55:41
and
55:42
trunk.
55:42
Thank
55:42
you.
55:42
And
55:43
look,
55:44
I'm
55:44
not
55:44
going
55:44
to
55:45
go
55:45
down
55:45
the
55:45
rabbit
55:45
hole.
55:46
I'm
55:46
calling
55:46
BS
55:47
on
55:47
that
55:47
stat.
55:47
That
55:47
as
55:47
well.
55:48
But
55:48
let's
55:48
not.
55:48
Let's
55:49
not
55:49
go
55:49
there.
55:49
Let's
55:50
not
55:50
go
55:50
there.
55:50
I
55:50
mean,
55:51
yeah,
55:51
the
55:52
world
55:52
where
55:52
you
55:52
can't
55:53
get
55:53
Nike
55:53
or
55:53
CKR
55:54
Ralph
55:54
or
55:54
Converse
55:55
on
55:55
New
55:55
Balance
55:55
outside
55:56
the
55:56
US
55:57
we're
55:57
okay.
55:58
But
55:59
if
55:59
I
55:59
could,
56:00
I've
56:01
got
56:01
a.
56:01
I've
56:01
got
56:01
a
56:01
wardrobe
56:02
full
56:02
of
56:02
North
56:03
Face
56:03
stuff
56:03
that
56:03
I
56:03
wear
56:03
when
56:04
I
56:04
go
56:04
hiking.
56:04
So
56:05
I
56:05
would
56:05
bring
56:05
a
56:05
suitcase
56:06
load
56:06
of
56:06
North
56:07
Face
56:07
stuff
56:07
for
56:07
me
56:07
to
56:08
keep
56:08
me
56:08
going.
56:09
And
56:09
then
56:10
maybe
56:10
with
56:10
some.
56:11
Some
56:11
new.
56:11
New
56:11
Balancers.
56:12
And
56:12
then
56:12
I
56:12
have
56:13
a
56:13
suitcase
56:13
for
56:13
a
56:13
classic
56:13
Nike
56:14
sneakers
56:15
that
56:15
I
56:15
could
56:15
sell
56:16
as
56:16
well.
56:16
Because
56:16
there'd
56:17
be.
56:17
If
56:17
you
56:17
could
56:18
no
56:18
longer
56:18
get
56:18
Nike
56:18
sneakers
56:19
outside
56:19
of
56:19
the
56:19
US
56:20
you
56:20
could
56:20
make.
56:20
I'd
56:20
make
56:21
a
56:21
killing
56:21
on
56:21
those.
56:21
You
56:22
would.
56:22
That
56:22
would
56:22
be.
56:23
That
56:23
would
56:23
be
56:23
a
56:23
great
56:23
strategy.
56:24
Ben.
56:25
Ben's.
56:25
Ben's
56:26
bargain
56:26
boot.
56:27
That's
56:27
what.
56:27
That's
56:27
what's
56:28
happening.
56:28
Bargain
56:28
boot.
56:29
I
56:29
like
56:29
that.
56:29
Triple
56:29
B.
56:30
Yeah.
56:30
That's
56:30
great.
56:31
And
56:31
who
56:31
knew
56:31
we
56:31
had
56:32
a
56:32
hiker
56:32
on
56:32
the
56:32
podcast?
56:33
Dad,
56:33
for
56:33
those
56:33
longtime
56:34
listeners,
56:34
you
56:34
know
56:35
how
56:35
big
56:35
of
56:35
a
56:35
fan
56:35
I
56:36
am
56:36
of
56:36
hiking.
56:36
All
56:36
right,
56:37
Ben,
56:37
last
56:37
one
56:38
who
56:39
won
56:39
the
56:39
match
56:40
gala.
56:41
Oh,
56:41
my
56:42
God.
56:42
So
56:42
this
56:42
was
56:42
a
56:43
hot
56:43
topic
56:43
in
56:44
the
56:44
Shop
56:44
Talk
56:45
office
56:45
yesterday,
56:46
a
56:47
conversation
56:47
I
56:48
very
56:48
quickly
56:48
realized
56:49
I
56:49
could
56:49
add
56:49
no
56:49
value
56:50
to
56:50
whatsoever.
56:52
But
56:52
I
56:52
did
56:52
listen.
56:54
So
56:54
my
56:54
colleagues
56:55
Rebecca
56:55
and
56:55
Josephine
56:56
today
56:56
are
56:57
running
56:57
content
56:57
for
56:58
our
56:58
new
56:58
luxury
56:58
show,
56:59
and
56:59
they
57:00
were
57:00
raving
57:00
about
57:01
Lana
57:02
Del
57:02
Rey's
57:02
look,
57:03
which.
57:03
Which
57:03
was
57:03
from
57:04
Valentino.
57:05
Now,
57:05
I
57:06
think
57:06
there
57:06
might
57:06
be
57:06
some
57:07
ballad,
57:07
some
57:07
bias
57:08
going
57:08
on
57:08
because
57:09
Andrea
57:09
Caffeine
57:10
from
57:10
Valentina
57:10
is
57:11
one
57:11
of
57:11
our
57:11
really
57:11
engaged
57:11
ad
57:12
board
57:12
members.
57:12
So
57:13
that
57:13
might
57:13
have
57:14
swung
57:14
it,
57:15
but
57:15
you
57:16
know,
57:16
I'm
57:16
gonna
57:16
go
57:17
with
57:17
them
57:17
as
57:17
I
57:18
I
57:18
know
57:18
nothing
57:19
in
57:19
this
57:19
space.
57:19
So
57:20
Lana
57:20
Del
57:20
Rey
57:21
is
57:21
what
57:21
they've
57:21
told
57:21
me
57:22
to
57:22
say.
57:23
Wow,
57:23
my
57:23
mine
57:24
was
57:24
Diana
57:24
Ross
57:25
because
57:25
when
57:25
was
57:25
the
57:25
last
57:25
time
57:26
Diana
57:26
Ross
57:26
was
57:26
in
57:27
the
57:27
news?
57:27
But
57:27
Ed,
57:27
what's
57:28
yours?
57:28
You're
57:28
the
57:28
fashionista
57:29
of
57:29
the
57:29
three
57:29
of
57:29
us.
57:30
I
57:30
mean
57:31
there
57:31
was
57:31
a
57:31
lot
57:31
to
57:32
love.
57:32
I
57:32
think
57:33
dochis
57:33
look
57:33
look
57:34
was
57:34
amazing,
57:35
the
57:35
Louis
57:35
Vuitton
57:36
short
57:36
set.
57:37
But
57:37
I
57:37
think
57:37
the
57:38
person
57:38
that
57:38
for
57:39
me
57:39
won
57:39
like
57:40
theme
57:40
wise
57:41
it
57:41
was
57:42
Janelle
57:43
Monae
57:43
that
57:43
like
57:44
the
57:44
reveal
57:45
of
57:45
her
57:45
outfit
57:46
was
57:46
so
57:46
good
57:46
and
57:47
man,
57:47
I
57:47
love
57:47
the
57:48
Met
57:48
Gala.
57:49
So
57:49
good.
57:50
Very
57:51
nice.
57:51
All
57:51
right,
57:51
Happy
57:52
birthday
57:52
today
57:52
to
57:52
Eddie
57:53
Bryant,
57:54
Brecken
57:54
Meyer
57:54
and
57:54
to
57:55
the
57:55
woman
57:55
who
57:56
who
57:56
wrote
57:57
to
57:57
me
57:57
what
57:57
is
57:57
still
57:58
the
57:58
most
57:58
raw
57:59
and
57:59
real
57:59
movie
58:00
about
58:00
life
58:00
in
58:00
high
58:01
school,
58:01
Amy
58:02
Heckerling,
58:02
who
58:02
gave
58:03
us
58:03
Fast
58:03
Times
58:04
at
58:04
Ridgemont
58:04
High.
58:05
And
58:05
remember,
58:05
if
58:06
you
58:06
can
58:06
only
58:06
read
58:06
or
58:06
listen
58:06
to
58:07
one
58:07
podcast
58:07
in
58:08
the
58:08
business
58:08
or
58:08
retail,
58:09
read
58:09
or
58:10
listen
58:10
to
58:10
one
58:10
retail
58:10
blog
58:11
in
58:11
the
58:11
business.
58:11
I
58:11
should
58:12
say
58:12
make
58:12
it
58:12
Omniton,
58:13
the
58:13
only
58:13
retail
58:13
media
58:14
outlet
58:14
run
58:14
by
58:14
two
58:14
former
58:15
executives
58:15
from
58:15
a
58:15
current
58:16
top
58:16
10
58:16
US
58:16
retailer.
58:17
Our
58:17
Fast
58:18
Five
58:18
podcast
58:18
is
58:18
the
58:18
quickest,
58:19
fastest
58:19
rundown
58:20
of
58:20
all
58:20
the
58:20
week's
58:20
top
58:20
news.
58:21
And
58:21
our
58:21
daily
58:21
newsletter,
58:22
the
58:22
Retail
58:22
Daily
58:23
Minute,
58:23
tells
58:23
you
58:23
all
58:24
you
58:24
need
58:24
to
58:24
know
58:24
each
58:24
day
58:25
or
58:25
to
58:25
stay
58:25
on
58:25
top
58:26
of
58:26
your
58:26
game
58:26
as
58:26
a
58:26
retail
58:27
executive
58:27
and
58:27
also
58:28
regularly
58:28
feature
58:28
special
58:29
content
58:29
that
58:29
is
58:29
exclusive
58:30
to
58:30
us
58:31
that
58:31
Ann
58:31
and
58:31
I
58:31
take
58:32
a
58:32
lot
58:32
of
58:32
pride
58:32
in
58:32
doing
58:33
just
58:33
for
58:33
you.
58:33
Thanks
58:33
as
58:34
always
58:34
for
58:34
listening
58:34
in.
58:34
Please
58:35
remember
58:35
to
58:35
like
58:35
and
58:35
leave
58:35
us
58:35
a
58:36
review
58:36
wherever
58:36
you
58:36
happen
58:36
to
58:37
listen
58:37
to
58:37
your
58:37
podcast
58:38
or
58:38
on
58:38
YouTube,
58:39
you
58:39
can
58:39
follow
58:39
us
58:39
today
58:39
by
58:40
simply
58:40
going
58:40
to
58:40
YouTube.com
58:41
omnitalkretail
58:43
Ben,
58:43
if
58:44
people
58:44
want
58:44
to
58:44
get
58:44
in
58:44
touch
58:45
with
58:45
you
58:45
in
58:45
any
58:45
way,
58:46
shape
58:46
or
58:46
form,
58:46
if
58:46
they
58:47
want
58:47
to
58:47
snag
58:47
tickets
58:48
to
58:48
Shop
58:48
Talk
58:48
Europe,
58:49
what's
58:49
the
58:49
best
58:49
way
58:50
for
58:50
them
58:50
to
58:50
do
58:50
that?
58:51
So
58:51
I
58:51
can
58:51
always
58:52
be
58:52
reached
58:52
on
58:52
LinkedIn
58:53
such
58:53
as
58:53
benmiller,
58:54
shoptalk,
58:54
and
58:55
shoptalkeurope.com
58:57
for
58:57
the
58:57
last
58:58
few
58:58
remaining
58:59
tickets
59:00
for
59:00
Shop
59:00
Tour
59:00
Europe.
59:01
And
59:01
if
59:01
you're
59:01
gonna
59:02
come,
59:02
especially
59:02
if
59:02
you're
59:02
a
59:02
retailer
59:03
brand,
59:03
make
59:03
sure
59:04
you
59:04
signed
59:04
up
59:04
by
59:04
the
59:05
end
59:05
of
59:05
this
59:05
week
59:06
because
59:06
that's
59:06
our
59:07
deadline
59:07
for
59:07
the
59:07
cut
59:07
for
59:08
the
59:08
meetings
59:08
program.
59:10
That's
59:10
right.
59:10
That's
59:11
right.
59:11
Great
59:11
drop,
59:12
Ben.
59:12
All
59:12
right.
59:12
Well,
59:12
Ben,
59:13
thanks
59:13
so
59:13
much
59:13
for
59:14
being
59:14
with
59:14
us.
59:14
We
59:14
love
59:15
the
59:15
conversation,
59:15
love
59:16
the
59:16
rant,
59:16
love
59:17
the
59:17
debate.
59:17
This
59:17
show
59:18
got
59:18
a
59:18
little
59:18
more
59:18
salty
59:19
than
59:19
usual.
59:19
As
59:19
I
59:19
said
59:19
at
59:20
the
59:20
top
59:20
of
59:20
the
59:20
show.
59:21
So
59:21
until
59:21
next
59:22
week,
59:22
on
59:22
behalf
59:22
of
59:23
all
59:23
of
59:23
us
59:23
at
59:23
Omni
59:23
Talk
59:24
Retail,
59:24
as
59:24
always,
59:25
be
59:25
careful
59:25
out
59:25
there.