Latest / Omni Talk Retail / Target's ChatGPT Gamble, Kroger's $2.6B Pivot & Gap's Viral Comeback | Fast Five

Transcript

Target's ChatGPT Gamble, Kroger's $2.6B Pivot & Gap's Viral Comeback | Fast Five · Omni Talk Retail

0:00
This
0:01
episode
0:01
of
0:01
The
0:01
OmniTalk
0:02
Retail
0:02
Fast
0:02
5
0:03
is
0:03
brought
0:03
to
0:03
you
0:03
by
0:03
the
0:04
A
0:04
and
0:04
M
0:04
Consumer
0:05
and
0:05
Retail
0:05
Group.
0:06
The
0:06
A
0:06
and
0:06
M
0:06
Consumer
0:07
and
0:07
Retail
0:07
Group
0:07
is
0:08
a
0:08
management
0:08
consulting
0:09
firm
0:09
that
0:09
tackles
0:10
the
0:10
most
0:10
complex
0:10
challenges
0:11
and
0:11
advances
0:12
its
0:12
clients,
0:13
people
0:13
and
0:14
communities
0:14
towards
0:15
their
0:15
maximum
0:15
potential.
0:16
CRG
0:17
brings
0:17
the
0:17
experience,
0:18
tools
0:18
and
0:18
operator
0:19
like
0:19
pragmatism
0:20
to
0:20
help
0:20
retailers
0:21
and
0:21
consumer
0:22
products
0:22
companies
0:23
be
0:23
on
0:23
the
0:23
right
0:23
side
0:24
of
0:24
disruption
0:25
and
0:25
Miracle,
0:26
the
0:26
catalyst
0:27
of
0:27
Commerce.
0:28
Over
0:28
450
0:29
retailers
0:30
are
0:30
opening
0:30
new
0:31
revenue
0:31
streams
0:32
with
0:32
marketplaces,
0:32
dropship
0:33
and
0:33
retail
0:34
media
0:34
and
0:35
succeeding.
0:35
With
0:36
Miracle,
0:36
you
0:36
can
0:37
unlock
0:37
more
0:37
products,
0:38
more
0:38
partners
0:39
and
0:39
more
0:39
profits
0:40
without
0:40
the
0:40
heavy
0:41
lifting.
0:41
What's
0:42
holding
0:42
you
0:42
back?
0:43
Visit
0:43
Miracle.com
0:44
to
0:44
learn
0:45
more.
0:45
That's
0:45
M
0:45
I
0:46
R
0:46
A
0:46
K
0:46
L.com
0:48
and
0:48
Corso.
0:49
Your
0:49
stores
0:50
are
0:50
full
0:50
of
0:51
data,
0:51
but
0:51
are
0:52
your
0:52
teams
0:52
acting
0:53
on
0:53
it?
0:54
Corso
0:54
turns
0:55
retail
0:55
data
0:55
into
0:56
personalized
0:56
daily
0:57
to
0:57
dos
0:57
that
0:57
drive
0:58
sales,
0:58
reduce
0:59
waste
0:59
and
0:59
improve
1:00
execution.
1:01
No
1:01
fluff,
1:02
just
1:03
action.
1:03
Help
1:04
your
1:04
managers
1:04
focus
1:05
on
1:05
what
1:05
matters
1:06
most.
1:06
Visit
1:06
corso.com
1:08
to
1:08
see
1:08
Intelligent
1:09
management
1:09
in
1:10
motion
1:10
and
1:10
Infios.
1:12
At
1:12
Infios,
1:13
they
1:13
unite
1:13
warehousing,
1:13
transportation
1:14
and
1:14
order
1:15
management
1:15
into
1:15
a
1:15
seamless,
1:16
adaptable
1:16
network.
1:17
Infios
1:18
helps
1:18
you
1:18
stay
1:18
ahead
1:19
from
1:19
promise
1:19
to
1:20
delivery
1:20
and
1:21
every
1:21
step
1:21
in
1:22
between.
1:22
To
1:22
learn
1:22
more,
1:23
visit
1:23
infios.com
1:25
and
1:25
finally,
1:26
Ocampo
1:26
Capital.
1:27
Ocampo
1:28
Capital
1:28
is
1:28
a
1:28
venture
1:29
capital
1:29
firm
1:29
founded
1:30
by
1:30
retail
1:30
executives
1:31
with
1:31
the
1:32
aim
1:32
of
1:32
helping
1:32
early
1:33
stage
1:33
consumer
1:34
businesses
1:34
succeed
1:35
through
1:35
investment
1:36
and
1:36
operational
1:36
support.
1:37
Learn
1:38
more@ocampo
1:39
capital.com
1:41
hello,
1:41
you
1:42
are
1:42
listening
1:42
to
1:42
Omnitalk's
1:43
Retail
1:44
Fast
1:44
Five,
1:44
ranked
1:44
in
1:45
the
1:45
top
1:45
10%
1:45
of
1:45
all
1:46
podcasts
1:46
globally
1:47
and
1:47
currently
1:47
the
1:47
only
1:47
retail
1:48
podcast
1:48
ranked
1:49
in
1:49
the
1:49
top
1:49
100
1:50
of
1:50
all
1:50
business
1:51
podcasts
1:51
on
1:51
Apple
1:52
Podcasts.
1:52
The
1:52
Retail
1:53
Fast
1:53
five
1:53
is
1:53
the
1:53
podcast
1:54
that
1:54
we
1:54
hope
1:54
makes
1:55
you
1:55
feel
1:55
a
1:55
little
1:55
smarter,
1:56
but
1:56
most
1:56
importantly,
1:57
a
1:57
little
1:57
happier
1:58
each
1:58
week
1:58
too.
1:59
And
1:59
the
1:59
Fast
1:59
5
2:00
is
2:00
just
2:00
one
2:00
of
2:00
the
2:00
many
2:00
great
2:01
podcasts
2:01
you
2:01
can
2:01
find
2:02
from
2:02
the
2:02
Omni
2:02
Talk
2:02
Retail
2:03
Podcast
2:03
Network
2:04
alongside
2:04
our
2:05
Retail
2:05
Daily
2:05
minute
2:06
which
2:06
brings
2:06
you
2:06
a
2:06
curated
2:07
selection
2:07
of
2:07
of
2:07
the
2:07
most
2:08
important
2:08
retail
2:08
headlines
2:09
every
2:09
morning
2:10
and
2:10
our
2:10
Retail
2:10
Technology
2:11
Spotlight
2:11
series
2:12
which
2:12
goes
2:12
deep
2:12
each
2:13
week
2:13
on
2:13
the
2:13
latest
2:14
retail
2:14
technology
2:14
trends.
2:15
It's
2:16
November
2:16
26,
2:17
2025,
2:19
our
2:19
last
2:20
show
2:20
before
2:20
the
2:20
Thanksgiving
2:21
holiday.
2:22
I'm
2:22
one
2:22
of
2:22
your
2:22
hosts,
2:22
Anne
2:23
Mazinga.
2:24
And
2:24
I'm
2:24
Chris
2:24
Walton
2:25
and
2:25
we
2:26
are.
2:26
Here
2:26
once
2:26
again
2:26
to
2:27
discuss
2:27
all
2:27
the
2:27
top
2:28
headlines
2:28
from
2:28
the
2:28
past
2:29
week
2:29
making
2:29
waves
2:30
in
2:30
the
2:30
world
2:31
of
2:31
omnichannel
2:32
retailing.
2:32
Now,
2:33
Chris,
2:34
some
2:34
listeners
2:35
for
2:35
the
2:35
if
2:36
they
2:36
like
2:36
the
2:36
deep
2:36
cuts
2:37
of
2:37
Omni
2:37
Talk,
2:37
they
2:38
will
2:38
know
2:39
that
2:39
this
2:40
Thanksgiving
2:41
is
2:42
your
2:42
number
2:42
one
2:43
holiday
2:43
of
2:43
all
2:44
time
2:44
in
2:45
the
2:45
ranking
2:45
of
2:45
holidays.
2:46
So
2:46
for
2:47
those
2:47
who
2:47
may
2:48
have
2:48
missed
2:48
it
2:48
in
2:49
previous
2:49
episodes,
2:50
why
2:50
is
2:50
Thanksgiving
2:51
your
2:52
favorite
2:52
holiday?
2:52
Chris?
2:53
Oh,
2:54
and,
2:54
and
2:54
it's
2:54
so
2:55
simple.
2:55
It
2:55
just
2:55
comes
2:55
down
2:55
to
2:56
one
2:56
letter,
2:56
F.
2:56
The
2:57
three
2:57
Fs.
2:57
Food,
2:58
family,
2:58
and
2:58
football.
2:58
I
2:59
mean,
2:59
what's,
2:59
what,
3:00
what's
3:00
not
3:00
to
3:00
like
3:00
about
3:01
Thanksgiving?
3:02
But
3:02
Thanksgiving
3:02
doesn't,
3:03
if
3:03
I
3:03
remember
3:03
right,
3:03
Thanksgiving
3:04
doesn't
3:04
really
3:04
crack
3:04
your
3:05
top
3:05
five.
3:05
Right?
3:05
You
3:06
hate
3:06
Thanksgiving.
3:07
Yeah,
3:07
I'm
3:08
not
3:08
a
3:08
fan.
3:08
I
3:09
think
3:09
the
3:09
food
3:09
just
3:09
ruins
3:10
it
3:10
for
3:10
me.
3:10
I
3:10
think
3:11
I'm,
3:11
I
3:12
listeners
3:13
have
3:13
heard
3:13
me
3:13
complain
3:14
every
3:14
year
3:14
for
3:14
the
3:15
last
3:15
eight
3:16
years
3:16
that
3:16
we've
3:16
been
3:16
doing
3:16
this
3:17
podcast
3:17
that,
3:19
yeah,
3:19
the
3:19
food,
3:20
not
3:21
one
3:21
of
3:21
my
3:21
favorites.
3:22
We
3:22
might,
3:23
I
3:23
might
3:23
have
3:23
a
3:23
couple
3:24
of
3:24
questions
3:24
for
3:24
you
3:25
about
3:25
it
3:25
in
3:25
the
3:25
lightning
3:25
round
3:26
to
3:26
just
3:26
try
3:26
to
3:26
wrap
3:27
my
3:27
head
3:27
around
3:27
why
3:28
people
3:28
love
3:28
this
3:29
holiday
3:29
so
3:29
much.
3:29
But
3:30
yeah,
3:30
not
3:31
a
3:31
fan
3:31
of,
3:31
I
3:32
mean,
3:32
family,
3:32
sure,
3:33
but
3:33
the
3:33
food
3:34
and
3:34
the
3:34
football?
3:34
No
3:35
thanks.
3:36
Family,
3:36
sure.
3:36
Why
3:37
not?
3:37
Yeah.
3:37
Okay.
3:38
Yeah.
3:38
But,
3:38
but
3:39
yeah,
3:39
if
3:39
I
3:39
was
3:39
to
3:39
throw
3:39
another
3:40
letter
3:40
in
3:40
there,
3:40
there'd
3:41
be,
3:41
it'd
3:41
be
3:41
G
3:41
for
3:42
gravy.
3:42
Because
3:42
I
3:42
know
3:43
how
3:43
much
3:43
you
3:43
love
3:43
gravy.
3:44
It
3:44
just
3:44
makes
3:45
you
3:45
nauseous
3:45
to
3:46
start
3:46
this
3:46
podcast.
3:47
And
3:47
it's
3:47
just
3:47
all
3:48
over.
3:48
Every
3:48
shopping,
3:49
everywhere
3:49
you
3:50
go
3:50
shopping,
3:50
every
3:50
grocery
3:51
store,
3:51
it's
3:51
just
3:51
front
3:52
and
3:52
center
3:52
staring
3:53
at
3:53
me,
3:53
those
3:53
jars
3:54
of
3:54
gravy.
3:54
And
3:54
I
3:55
just
3:55
can't
3:55
take
3:55
it
3:55
anymore.
3:56
So
3:56
I'm
3:57
really
3:57
excited
3:57
for
3:58
the,
3:58
for
3:58
the
3:58
holiday.
3:59
The
3:59
Hanukkah
4:00
Christmas
4:00
flip
4:00
over
4:01
in
4:01
the
4:01
grocery
4:01
stores
4:02
after
4:02
this
4:02
weekend.
4:03
That's
4:04
for
4:04
sure.
4:04
Gravy's
4:05
so
4:05
good.
4:05
In
4:06
fact,
4:06
this
4:06
podcast
4:06
is
4:07
going
4:07
to
4:07
be
4:07
gravy.
4:07
And
4:08
in
4:08
my
4:08
opinion.
4:08
All
4:09
right,
4:09
in
4:09
this
4:09
week's
4:10
Fast5,
4:10
we've
4:10
got
4:11
news
4:11
on
4:11
Target
4:12
enabling
4:13
mobile
4:13
app
4:14
shopping
4:14
within
4:14
ChatGPT,
4:16
Kroger
4:16
closing
4:17
down
4:17
some
4:17
of
4:17
its
4:18
automated
4:18
fulfillment
4:19
centers,
4:19
Gap's
4:20
recent
4:20
sales
4:20
surge,
4:21
Bath
4:21
and
4:21
Body
4:22
works
4:22
selling
4:22
on
4:22
Amazon.
4:23
And
4:23
AWS's
4:24
Danielle
4:24
Stropa
4:25
stops
4:26
by
4:26
once
4:26
again
4:26
to
4:26
share
4:27
this
4:27
month's
4:27
retail
4:28
tech
4:28
company
4:29
of
4:29
the
4:29
month.
4:29
But
4:30
we
4:30
begin
4:30
today
4:30
with
4:31
with
4:31
an
4:31
earnings
4:31
roundup.
4:32
And
4:33
yes,
4:33
headline
4:34
number
4:34
one.
4:35
The
4:35
last
4:35
week
4:36
saw
4:36
a
4:36
flurry
4:37
of
4:37
retail
4:37
earnings
4:38
announcements.
4:38
And
4:38
here
4:39
are
4:39
some
4:39
of
4:39
the
4:39
highlights.
4:40
Home
4:41
Depot
4:41
kicked
4:41
everything
4:42
off
4:42
last
4:42
week
4:43
by
4:43
cutting
4:43
its
4:44
earnings
4:44
forecast.
4:45
Target
4:45
then
4:46
followed
4:46
with
4:46
a
4:47
similar
4:47
outlook,
4:48
while
4:48
Walmart,
4:49
tjx,
4:49
Ross
4:50
stores
4:50
and
4:50
Best
4:50
Buy
4:51
all
4:51
raised
4:52
their
4:52
financial
4:52
outlooks
4:53
across
4:53
the
4:53
back
4:54
half
4:54
of
4:54
the
4:54
year.
4:55
Chris,
4:56
what
4:56
stood
4:56
out
4:56
to
4:56
you
4:57
most
4:57
from
4:57
this
4:58
week's
4:58
picture
4:58
Past
4:59
earnings
4:59
announcements.
5:01
Ooh,
5:01
we're
5:01
coming
5:01
in
5:02
hot.
5:02
That
5:02
Ed,
5:02
I
5:03
don't
5:03
know
5:03
about
5:03
you,
5:03
but
5:04
I'm
5:04
going
5:04
to
5:04
zero
5:04
right
5:04
in
5:04
on
5:05
it
5:05
and
5:05
put
5:05
a
5:05
big
5:06
bullseye
5:06
on
5:07
the
5:07
bullseye
5:07
itself.
5:08
Target,
5:08
because
5:09
Target
5:09
was
5:09
the
5:09
real
5:09
turkey
5:10
of
5:10
the
5:10
past
5:10
week,
5:11
without
5:11
a
5:12
doubt.
5:12
Sales
5:12
were,
5:13
sales
5:13
were
5:13
quite
5:13
honestly
5:13
atrocious.
5:14
Like
5:14
I
5:14
did
5:14
the
5:14
math
5:15
did.
5:15
You
5:15
know,
5:15
the
5:16
four
5:16
year,
5:16
not
5:17
the
5:17
two
5:17
year,
5:17
not
5:17
the
5:18
three
5:18
year,
5:18
but
5:18
the
5:18
four
5:19
year
5:20
quarter
5:20
three
5:21
stack
5:21
is
5:22
now
5:22
negative.
5:22
The
5:23
Q3
5:23
stack
5:24
over
5:24
four
5:24
years
5:24
is
5:24
negative.
5:25
That
5:26
means
5:26
Target
5:26
hasn't
5:26
grown
5:27
a
5:27
stitch
5:28
in
5:28
the
5:28
last
5:29
four
5:29
years.
5:30
But
5:30
in
5:31
when
5:31
you
5:31
put
5:31
that
5:31
story
5:31
in
5:32
context,
5:32
it's
5:32
even
5:32
more
5:33
telling
5:33
because
5:33
like
5:33
you
5:34
said,
5:34
like
5:34
Walmart
5:34
and
5:35
all
5:35
the
5:35
discounters
5:36
did
5:36
fine.
5:37
Best
5:37
Buy,
5:37
which
5:38
sells
5:38
a
5:38
hell
5:39
of
5:39
a
5:39
lot
5:39
of
5:39
discretionary
5:40
products.
5:40
They
5:41
also
5:41
did
5:41
pretty
5:42
well
5:42
and
5:42
even
5:42
Abercrombie,
5:43
Kohl's
5:44
and
5:44
Gap
5:44
did
5:45
better
5:45
than
5:45
expectations.
5:46
So,
5:46
so
5:47
like
5:47
what
5:47
the
5:47
heck,
5:47
Target,
5:48
I
5:48
mean
5:48
you're
5:48
just
5:48
standing
5:49
out
5:49
like
5:49
a
5:49
sore
5:50
thumb
5:50
in
5:50
the
5:50
landscape
5:51
of
5:51
earnings
5:51
in
5:51
my
5:51
opinion.
5:53
Yeah,
5:53
I
5:53
mean
5:53
I
5:54
guess
5:54
I
5:54
would
5:54
challenge
5:55
you
5:55
in
5:55
saying
5:55
like
5:56
what
5:56
was
5:56
your
5:56
expectation?
5:57
And
5:57
all
5:57
the
5:58
retail
5:58
analysts
5:59
out
5:59
there,
5:59
I
5:59
think
5:59
it's
6:00
easy
6:00
to
6:01
kick
6:01
Target
6:01
while
6:01
they're
6:02
down,
6:02
but
6:02
they're
6:03
in
6:03
the
6:03
middle
6:03
of
6:03
a
6:03
CEO
6:04
change.
6:04
They
6:04
just
6:04
laid
6:05
off
6:05
1800
6:05
people.
6:06
Like
6:06
what
6:07
were
6:07
we
6:07
expecting
6:08
this
6:08
quarter's
6:09
results
6:09
to
6:09
be?
6:09
If
6:10
we're
6:10
being
6:10
honest
6:10
with
6:10
ourselves?
6:11
I
6:11
think
6:12
they've,
6:13
yes,
6:14
they've
6:14
got
6:14
a
6:14
turnaround
6:15
that
6:15
they've
6:15
got
6:15
on
6:15
their
6:15
hands.
6:16
They've
6:16
got
6:16
a
6:16
new
6:16
CEO
6:17
coming
6:17
in
6:17
place.
6:17
Hopefully
6:18
that
6:18
will
6:18
be
6:18
working
6:19
on
6:19
that.
6:19
And
6:19
I
6:19
think
6:20
some
6:20
things
6:20
even
6:21
that
6:21
they've
6:21
started
6:22
to
6:22
push
6:22
on,
6:23
which
6:23
we'll
6:23
talk
6:23
about
6:23
in
6:24
the
6:24
next
6:24
headlines
6:24
that
6:24
are,
6:25
that
6:25
are
6:25
showing
6:25
that
6:26
they
6:26
are
6:26
making
6:27
some
6:27
moves.
6:28
And
6:28
I,
6:29
I
6:29
think
6:29
you're
6:29
right
6:29
there.
6:30
It's
6:30
clear,
6:30
you
6:31
know
6:31
that
6:31
because
6:32
of
6:32
Target's
6:32
poor
6:32
earnings
6:33
this
6:33
quarter,
6:34
Walmart's
6:35
getting
6:35
their
6:35
business.
6:35
For
6:36
our
6:36
essentials,
6:37
you
6:37
have
6:37
tjx,
6:38
Abercrombie
6:39
and
6:39
Gap
6:39
who
6:39
are
6:40
getting
6:40
their
6:40
apparel
6:41
business
6:41
would
6:41
be
6:41
my
6:41
guess,
6:42
and
6:42
then
6:42
home
6:42
goods
6:43
again,
6:44
part
6:44
of
6:44
the
6:44
TGX
6:45
umbrella.
6:45
Who's
6:45
getting
6:45
the
6:46
home
6:46
interest
6:47
from
6:47
those
6:47
Target
6:47
shoppers
6:48
who
6:48
have
6:48
either
6:49
left
6:49
or
6:50
are
6:50
looking
6:50
at
6:50
other
6:50
options
6:51
right
6:51
now.
6:51
But
6:52
I
6:52
mean
6:52
it,
6:52
it
6:53
really
6:53
wasn't
6:54
surprising
6:54
to
6:55
me.
6:55
I'm
6:55
not
6:55
expecting
6:56
that
6:56
we're
6:56
going
6:56
to
6:56
see
6:57
a
6:57
banner
6:57
year
6:57
coming
6:58
of
6:58
quarter,
6:59
sorry,
6:59
coming
6:59
of
6:59
Target
7:00
anytime
7:00
soon
7:01
because
7:02
they're
7:02
in
7:02
this
7:02
turnaround
7:03
and
7:03
I
7:03
would
7:03
expect
7:03
that
7:03
of
7:04
any
7:04
retailer
7:04
I
7:04
think
7:05
in
7:05
their
7:05
similar
7:06
position.
7:07
So,
7:07
so,
7:08
I
7:08
mean,
7:08
but
7:08
basically.
7:08
So
7:08
you're
7:09
like
7:09
you're
7:09
okay
7:09
with
7:09
it?
7:09
Like,
7:09
see,
7:10
to
7:10
me
7:10
it
7:10
is
7:10
a
7:10
surprise
7:11
because
7:11
like
7:11
it's
7:11
the
7:11
same
7:12
regime.
7:12
It's
7:13
the
7:13
same
7:13
regime
7:13
that
7:13
you've
7:14
handed
7:14
it
7:14
over
7:14
to.
7:14
So
7:15
I
7:15
would
7:15
expect
7:15
some
7:16
improvement
7:16
if
7:17
you're
7:17
believing
7:17
in
7:17
that
7:18
regime.
7:18
And
7:18
then
7:19
the
7:19
other
7:19
point
7:19
of
7:19
it
7:19
too
7:19
is
7:19
like
7:20
Kohl's
7:20
is
7:20
in
7:20
the
7:20
same
7:21
situation.
7:21
They
7:21
have
7:21
an
7:21
interim
7:22
CEO
7:22
that's
7:23
potentially
7:23
doing
7:23
better
7:24
and
7:24
just
7:24
got
7:24
named
7:25
the
7:25
full
7:25
time
7:25
CEO.
7:26
So
7:26
like
7:26
they're
7:27
in
7:27
the
7:27
same
7:27
exact
7:28
situation.
7:28
And
7:28
yet
7:29
Target
7:29
sticks
7:30
out
7:30
to
7:30
me.
7:30
So
7:30
I
7:30
don't
7:30
know.
7:31
Anything
7:31
else
7:31
you
7:31
want
7:31
to
7:32
add
7:32
there?
7:33
No,
7:33
I
7:33
think,
7:33
I
7:33
think
7:34
it's
7:34
just,
7:34
you
7:34
know,
7:35
I
7:35
again,
7:36
not
7:36
expecting
7:37
to
7:37
see
7:37
anything,
7:37
any
7:38
massive
7:38
changes
7:39
until
7:39
new
7:40
people
7:40
get
7:40
in
7:40
the
7:40
role,
7:41
both
7:41
at
7:41
Kohl's
7:42
with
7:42
their
7:42
new
7:42
CEO
7:43
and
7:43
at
7:43
Target.
7:44
I
7:44
think
7:45
you
7:45
got
7:45
to
7:45
give
7:45
them
7:46
time
7:46
to
7:46
right
7:46
the
7:46
ship.
7:47
And
7:47
I
7:47
think
7:47
that
7:47
we'll
7:48
start
7:48
to
7:48
see
7:49
either
7:50
whether
7:50
those
7:50
changes
7:51
are
7:51
happening
7:51
with
7:51
new
7:52
leadership
7:52
in
7:52
place
7:53
or
7:53
if,
7:53
if
7:54
it's
7:54
a
7:54
bigger
7:55
problem
7:55
and
7:55
if
7:56
this
7:56
consistency
7:56
continues
7:57
for
7:57
the
7:57
next
7:57
four
7:58
quarters,
7:58
then,
7:58
yeah,
7:59
then
7:59
I,
8:00
then
8:00
I
8:00
think
8:00
I'm
8:00
coming
8:01
over
8:01
to
8:01
your
8:01
side
8:01
and
8:02
I
8:02
can
8:02
understand.
8:02
But
8:02
for
8:03
right
8:03
now,
8:04
it
8:04
was
8:04
not
8:04
surprising
8:05
to
8:05
me
8:05
at
8:05
all.
8:05
It
8:05
just
8:06
kind
8:06
of
8:06
was
8:06
as
8:07
expected.
8:08
Wow.
8:08
Okay.
8:09
Okay.
8:09
All
8:09
right,
8:09
well
8:09
this
8:10
next
8:10
headline,
8:10
we're
8:10
going
8:10
to
8:10
get
8:11
into
8:11
it
8:11
a
8:11
little
8:11
bit
8:11
more
8:11
and
8:11
I
8:12
have
8:12
curious
8:12
to
8:12
see
8:12
where
8:13
your
8:13
head
8:13
is
8:13
on
8:13
this
8:13
one
8:14
too
8:14
because
8:14
speaking
8:14
of
8:15
Target,
8:15
and
8:16
believe
8:16
me
8:16
folks,
8:17
I'm
8:17
not
8:17
done
8:17
ranting
8:18
on
8:18
this
8:18
yet
8:18
either.
8:19
Target
8:19
yesterday
8:20
enabled
8:20
mobile
8:21
shopping
8:21
in
8:21
ChatGPT
8:23
according
8:23
to
8:23
chain
8:23
Storage
8:24
and
8:24
launched
8:25
just
8:25
yesterday.
8:26
The
8:26
Target
8:26
app
8:26
is
8:27
now
8:27
connected
8:27
to
8:27
ChatGPT
8:28
and
8:28
lets
8:29
users
8:29
ask
8:29
for
8:29
help,
8:30
search
8:30
and
8:30
purchase
8:31
products
8:31
using
8:32
conversational
8:33
language.
8:33
Target
8:34
will
8:34
offer
8:34
a
8:34
complete
8:35
shopping
8:35
experience
8:35
through
8:36
its
8:36
app
8:36
in
8:36
ChatGPT
8:37
with
8:37
the
8:37
ability
8:37
to
8:37
purchase
8:38
items
8:38
in
8:38
a
8:39
single
8:39
transaction,
8:39
multiple
8:40
items,
8:40
I
8:40
should
8:40
say,
8:41
in
8:41
a
8:41
single
8:41
transaction,
8:42
shop
8:42
fresh
8:43
food
8:43
products
8:43
and
8:44
select
8:44
drive
8:44
up,
8:45
pickup
8:45
or
8:45
shopping
8:46
fulfillment
8:47
options.
8:47
And
8:48
are
8:48
you
8:48
buying
8:48
or
8:49
selling
8:49
Target's
8:49
feet
8:50
first
8:50
foray
8:50
into
8:51
ChatGPT
8:51
mobile
8:52
shopping
8:52
this
8:53
holiday
8:53
season?
8:54
I'm
8:55
buying
8:55
and
8:56
I
8:56
think
8:56
I
8:56
would
8:56
be
8:56
no
8:57
matter
8:57
which
8:57
retailer
8:58
would
8:58
be
8:58
making
8:59
this
8:59
move.
8:59
I
8:59
know
8:59
I'm
8:59
going
8:59
to
9:00
be
9:00
called
9:00
probably
9:01
a
9:01
Target
9:01
apologist
9:02
for
9:02
this
9:02
podcast,
9:03
but
9:03
I
9:03
do
9:03
think
9:03
that
9:04
that
9:05
every
9:05
one
9:05
of
9:06
every
9:06
retailer
9:07
everywhere
9:08
needs
9:08
to
9:08
be
9:08
thinking
9:09
about
9:09
how
9:09
they're
9:10
going
9:10
to
9:10
go
9:10
first
9:10
into
9:10
LLM
9:11
enabled
9:12
commerce.
9:13
I
9:13
think
9:13
it's
9:13
important
9:14
to
9:14
note
9:14
that
9:15
this
9:15
is
9:15
still
9:15
in
9:15
beta.
9:17
They
9:17
just
9:17
launched
9:18
it,
9:18
so
9:18
we've
9:18
been
9:18
playing
9:19
around
9:19
with
9:19
it
9:19
a
9:19
little
9:19
bit.
9:20
Sure.
9:20
There's
9:20
still
9:21
some
9:21
things
9:21
that
9:21
need
9:21
to
9:22
be
9:22
worked
9:22
out.
9:22
But
9:23
what
9:23
I
9:23
think
9:23
is
9:24
the
9:24
biggest
9:24
news
9:24
is
9:24
that
9:24
Target's
9:25
actually
9:25
talking
9:25
about
9:26
this.
9:26
They're
9:26
talking
9:27
about
9:27
it
9:27
in
9:27
the
9:28
industry
9:28
in
9:28
ways
9:29
that
9:29
we
9:29
haven't
9:29
seen
9:29
Target
9:30
start
9:30
or
9:31
talk
9:31
about
9:31
some
9:31
of
9:31
the
9:32
things
9:32
that
9:32
they've
9:32
been
9:32
deploying
9:33
in
9:33
stores
9:34
or
9:34
on
9:34
E
9:35
commerce
9:35
in
9:35
years
9:35
past.
9:36
So
9:36
I
9:37
think
9:37
this
9:37
is
9:38
not
9:38
going
9:38
to
9:38
hit
9:39
customers
9:39
very
9:39
strongly.
9:40
It's
9:41
still
9:41
very
9:41
much
9:42
in
9:42
the
9:42
trade
9:42
media.
9:43
So
9:43
I
9:43
think
9:44
as
9:44
they
9:44
continue
9:44
to
9:45
develop
9:45
this
9:46
beta
9:46
version
9:47
of
9:48
their
9:48
large
9:48
language
9:49
search,
9:49
I
9:50
think
9:50
that
9:50
customers
9:51
will
9:51
start
9:51
to
9:51
see,
9:51
we'll
9:52
start
9:52
to
9:52
see
9:52
more
9:52
adoption
9:52
from
9:53
customers.
9:53
But,
9:54
but
9:54
number
9:54
one,
9:55
right
9:55
now
9:55
I
9:55
think
9:55
Target
9:56
is
9:56
starting
9:56
to
9:56
get
9:57
out
9:57
in
9:57
front
9:57
of
9:57
and
9:57
start
9:57
to
9:58
talk
9:58
about
9:58
how
9:59
they're
9:59
making
9:59
moves
10:00
to
10:01
try
10:01
to
10:01
course
10:01
correct
10:02
based
10:02
on
10:02
the
10:02
earnings
10:03
that
10:03
we
10:03
just
10:03
talked
10:03
about
10:04
in
10:04
the
10:04
last
10:04
story.
10:05
So
10:05
I'm,
10:06
I'm
10:06
in
10:06
for
10:06
it.
10:07
I
10:07
think
10:07
there's
10:07
a
10:07
lot
10:07
of,
10:08
of,
10:09
of
10:09
developments
10:10
still
10:10
and
10:10
I'm
10:11
just
10:11
glad
10:11
that
10:11
Target's
10:12
actually
10:12
getting
10:12
in
10:13
and
10:13
doing
10:13
something
10:15
to
10:15
start
10:15
to
10:16
compete
10:16
with
10:16
the
10:16
likes
10:16
of
10:17
Amazon
10:17
and
10:17
Walmart.
10:18
But
10:18
what
10:18
do
10:18
you
10:19
think?
10:19
Wow.
10:19
Wow.
10:20
Okay.
10:20
So
10:20
did
10:20
you
10:21
try
10:21
it
10:21
out?
10:21
Yep.
10:22
Yeah.
10:23
Did
10:23
you
10:24
think
10:24
it
10:24
makes
10:24
your
10:24
life
10:24
better?
10:26
Um,
10:26
I
10:27
think
10:27
it,
10:27
I
10:27
think
10:27
that
10:28
it's.
10:29
Yes,
10:29
it
10:29
will
10:29
make
10:30
my
10:30
life
10:30
better.
10:31
Um,
10:31
absolutely.
10:32
I
10:32
think
10:32
I'm
10:33
still
10:33
trying
10:33
to
10:33
figure
10:34
out
10:34
all
10:34
of
10:34
the
10:35
modes
10:35
and
10:35
methods
10:36
that
10:36
you
10:36
can
10:37
shop
10:37
using
10:38
these
10:38
LLM
10:39
search
10:39
models.
10:39
I
10:40
didn't
10:40
even
10:40
realize.
10:41
So
10:41
for
10:41
those
10:41
listening,
10:42
you
10:42
know,
10:42
when
10:43
you
10:43
go
10:43
into
10:43
ChatGPT,
10:44
you
10:44
have
10:44
the
10:44
ability
10:45
on
10:45
the
10:45
left
10:45
hand
10:46
side
10:46
to
10:47
select
10:47
a
10:47
GPT.
10:48
So
10:48
this
10:49
is
10:49
saying,
10:50
you
10:50
know,
10:50
the
10:51
way
10:51
that
10:51
Target's
10:51
approaching
10:52
this
10:52
is
10:52
that
10:52
you
10:52
go
10:52
into
10:53
it,
10:53
you
10:53
select
10:54
the
10:54
Target
10:54
GPT
10:55
and
10:55
that's
10:55
what
10:56
you're
10:56
using
10:56
to
10:56
help
10:57
you
10:57
find
10:57
and
10:57
pull
10:58
together
10:58
orders.
10:59
So
10:59
it's
10:59
a
10:59
different
11:00
method,
11:01
but
11:01
I
11:02
still
11:02
think
11:02
that
11:02
there's
11:02
a
11:02
lot
11:03
of
11:03
testing
11:03
that
11:03
needs
11:03
to
11:04
be
11:04
done
11:05
to
11:05
figure
11:06
out
11:06
how
11:06
we're
11:07
going
11:07
to
11:07
go
11:07
about
11:08
doing
11:08
this
11:08
in
11:09
the
11:09
right
11:09
way
11:09
that
11:09
serves
11:10
the
11:10
right
11:10
customers
11:12
who
11:12
are
11:12
using
11:12
this,
11:13
this
11:13
methodology.
11:13
But
11:14
you
11:14
use
11:14
it
11:14
too,
11:15
right?
11:16
Yeah,
11:16
yeah.
11:16
I
11:16
mean
11:16
the
11:16
way
11:17
I,
11:17
the
11:17
way
11:17
I
11:17
would
11:17
summarize
11:18
it
11:18
is
11:18
basically
11:18
it
11:18
basically
11:19
simulates
11:20
the
11:20
Target
11:20
app
11:21
experience
11:21
in
11:22
ChatGPT,
11:22
which
11:23
I
11:23
just
11:23
kind
11:23
of
11:24
ask
11:24
myself,
11:24
like,
11:24
why
11:25
do
11:25
I
11:25
need
11:25
that?
11:26
But
11:27
especially
11:27
when
11:27
the
11:28
traffic
11:28
is
11:28
going
11:28
to
11:28
be
11:28
small
11:28
to
11:29
it.
11:29
But
11:29
yeah,
11:30
I
11:30
mean,
11:30
I'm
11:30
in
11:30
100%
11:31
disagree
11:31
with
11:31
you
11:31
on
11:32
this
11:32
one.
11:32
100%.
11:33
I
11:33
mean,
11:33
I,
11:33
I
11:34
think
11:34
this
11:34
experience
11:34
actually
11:35
shows
11:36
just
11:36
how
11:36
Desperate
11:37
Target
11:37
is
11:37
to
11:38
sound
11:38
like
11:38
they're
11:38
doing
11:39
something
11:39
innovative.
11:40
First
11:40
off,
11:41
first
11:41
off,
11:41
why
11:41
launch
11:42
this
11:42
two
11:42
days
11:42
before
11:43
Thanksgiving
11:44
if
11:44
you're
11:44
going
11:44
to
11:45
do
11:45
it?
11:45
It
11:45
should
11:46
have
11:46
been
11:46
in
11:46
the
11:46
works
11:47
and
11:47
working
11:47
long
11:48
before
11:48
two
11:48
days
11:49
before
11:49
Thanksgiving
11:50
and
11:50
Black
11:50
Friday.
11:51
Second,
11:53
because
11:53
of
11:54
that
11:54
fact
11:54
alone,
11:55
and
11:55
then
11:55
also
11:56
because
11:56
you
11:56
announced
11:56
it
11:57
on
11:57
earnings
11:57
day
11:57
when
11:58
results
11:58
are
11:58
bad.
11:58
It
11:59
also
11:59
sounds
11:59
a
11:59
little
11:59
desperate
12:00
to
12:00
me.
12:00
And
12:01
third,
12:01
which
12:01
I
12:01
was
12:01
hitting
12:02
at,
12:02
too,
12:02
the
12:03
experience
12:03
kind
12:03
of
12:03
is
12:03
lame.
12:04
Like,
12:04
I
12:04
had
12:04
a
12:04
former
12:04
Target
12:05
employee
12:05
me
12:05
text
12:06
me
12:06
yesterday.
12:06
He's
12:06
like,
12:06
this
12:06
is
12:07
a
12:07
big
12:07
nothing
12:08
burger.
12:08
Like,
12:08
why
12:09
would
12:09
I
12:09
want
12:09
an
12:09
app
12:10
inside
12:10
of
12:10
another
12:10
app?
12:11
It's
12:11
like,
12:12
you
12:12
know,
12:13
so
12:14
it's
12:15
something
12:15
that's
12:15
just
12:15
basically
12:15
approximating
12:16
the
12:16
experience
12:16
we
12:17
already
12:17
have.
12:17
So
12:17
I'm
12:18
like,
12:18
okay,
12:18
so
12:19
it's
12:19
going
12:19
to
12:19
have
12:19
no
12:19
impact
12:19
on
12:20
sales.
12:20
Target's
12:21
likely
12:21
going
12:21
to
12:21
try
12:22
to
12:22
spin
12:22
it,
12:22
that
12:22
it's
12:23
going
12:23
to
12:23
have
12:23
a
12:23
positive
12:23
impact
12:24
when
12:24
they
12:24
report
12:24
on
12:24
the
12:25
next
12:25
quarter,
12:25
even
12:25
though
12:25
materially
12:26
it
12:26
won't
12:26
impact
12:26
earnings.
12:27
So
12:27
they're
12:27
going
12:27
to
12:27
feel
12:27
fine
12:28
doing
12:28
it.
12:28
Which
12:28
goes
12:29
back
12:29
to
12:29
my
12:29
point
12:30
that
12:30
I
12:30
bring
12:30
up
12:31
at
12:31
the
12:31
beginning.
12:32
It's
12:32
not
12:33
a
12:33
good
12:33
experiment.
12:34
The
12:34
order
12:34
of
12:35
operations
12:36
here
12:36
matters,
12:37
I
12:37
think.
12:38
First,
12:38
like
12:38
we've
12:38
said
12:39
on
12:39
the
12:39
show
12:39
multiple
12:39
times,
12:40
you
12:40
got
12:40
to
12:40
figure
12:41
out
12:41
natural
12:41
language
12:41
search
12:42
on
12:42
your
12:42
own
12:42
site
12:42
first.
12:43
Then,
12:43
as
12:44
we
12:44
heard
12:44
from
12:44
David
12:44
Dorff
12:45
at
12:45
AWS
12:45
say,
12:45
the
12:46
second
12:46
thing
12:46
is
12:47
you
12:47
have
12:47
to
12:47
decide
12:48
if
12:48
you
12:48
want
12:48
to
12:48
integrate
12:49
with
12:49
ChatGPT
12:50
at
12:50
all.
12:50
Is
12:50
there
12:50
a
12:51
strategic
12:51
value
12:51
to
12:51
doing
12:52
that?
12:52
And
12:52
you're
12:52
not
12:52
going
12:53
to
12:53
really
12:53
understand
12:53
that
12:53
until
12:54
you
12:54
understand
12:55
that
12:55
your
12:55
own
12:55
site
12:55
is
12:56
ready
12:56
and
12:57
active
12:57
to
12:57
be
12:58
searched
12:58
in
12:58
this
12:58
way.
12:59
And
12:59
I
12:59
don't
12:59
think
12:59
Target's
13:00
effectively
13:00
done
13:00
that,
13:00
at
13:01
least
13:01
when
13:01
you
13:01
look
13:01
at
13:01
its
13:01
peer
13:02
set.
13:02
And
13:02
then
13:03
you
13:03
dip
13:03
your
13:03
toe
13:04
slow
13:04
once
13:04
you
13:04
get
13:05
those
13:05
two
13:05
things
13:05
figured
13:05
out,
13:06
I
13:06
think
13:06
then
13:06
you
13:06
dip
13:06
your
13:07
toe
13:07
slowly
13:08
into
13:08
the
13:09
right
13:09
categories,
13:10
not
13:10
your
13:10
whole
13:10
experience.
13:11
You
13:11
look
13:11
at
13:11
how
13:11
Walmart's
13:12
doing
13:12
it.
13:12
Walmart's.
13:13
Walmart.
13:13
Walmart
13:14
says
13:14
they're
13:14
going
13:14
to
13:14
do
13:14
it.
13:15
They
13:15
haven't
13:15
even
13:15
launched
13:15
anything
13:16
yet.
13:16
And
13:16
they're
13:16
being
13:16
very
13:17
deliberate
13:17
with
13:17
what
13:17
categories
13:18
are
13:18
going
13:18
to
13:18
put
13:18
into
13:19
the
13:19
experience.
13:19
They're
13:19
saying
13:19
they're
13:20
not
13:20
going
13:20
to
13:20
do
13:20
grocery,
13:20
for
13:21
example.
13:21
So
13:21
the
13:22
roadmap
13:22
to
13:22
me
13:22
is
13:22
already
13:23
out
13:23
there
13:23
and
13:24
Target
13:24
is
13:24
leaping
13:24
ahead
13:25
in
13:25
a
13:25
way
13:26
to
13:26
try
13:26
to
13:26
sound
13:27
like
13:27
they're
13:27
doing
13:27
something,
13:28
when
13:28
in
13:28
reality.
13:28
I
13:29
agree.
13:29
It
13:29
is
13:30
a
13:30
big
13:30
nothing
13:30
burger.
13:32
I.
13:32
Yeah,
13:32
I
13:33
think.
13:33
I
13:33
think
13:33
there's
13:34
a
13:34
few
13:34
things
13:34
that
13:35
are.
13:35
That
13:36
we
13:36
don't
13:36
know.
13:37
One,
13:37
we're
13:38
not
13:38
in
13:38
the
13:38
four
13:38
walls
13:39
of
13:39
Walmart,
13:40
of
13:40
Target,
13:40
of
13:41
any
13:41
of
13:41
these,
13:42
these
13:42
retailers.
13:43
And
13:43
I
13:43
don't
13:44
know
13:44
that
13:44
you
13:44
and
13:44
I
13:44
have
13:45
done
13:45
enough
13:45
shopping
13:46
in
13:46
the,
13:47
in
13:47
this,
13:48
this,
13:48
these
13:48
multiple
13:49
pathways
13:49
that
13:50
get
13:50
you
13:50
to
13:51
what
13:51
the
13:51
best
13:52
LLM
13:52
search
13:52
model
13:53
is
13:53
going
13:53
to
13:53
be.
13:54
I
13:54
think
13:54
you're
13:55
making
13:55
an
13:55
assumption
13:56
that
13:56
Target
13:56
is
13:56
not,
13:57
the
13:57
products
13:57
are
13:58
not
13:58
ready
13:58
for
13:58
LLM
13:59
search
13:59
when
14:00
they,
14:00
they
14:01
have
14:01
to
14:01
be
14:01
testing
14:02
this
14:02
and
14:02
they
14:02
have
14:02
to
14:03
be
14:03
putting
14:03
this
14:03
out
14:03
so
14:04
that
14:04
they
14:04
have
14:04
to
14:04
have
14:05
something
14:05
there.
14:05
So
14:05
I
14:06
don't
14:06
think
14:06
it's
14:06
fair
14:06
to
14:06
say
14:06
that
14:07
there's
14:07
nothing
14:07
that's
14:07
been
14:08
in
14:08
place.
14:08
They
14:08
have
14:09
to
14:09
have
14:09
their
14:09
products
14:09
be
14:10
searchable
14:10
using
14:10
this
14:11
format.
14:11
So
14:12
whether
14:12
it's
14:12
searchable
14:13
on
14:13
the
14:13
target.com
14:14
site,
14:14
you
14:14
can,
14:15
it's
14:15
searchable
14:15
on
14:15
the
14:16
Target
14:16
or
14:16
via
14:17
chat.
14:17
They're
14:18
still
14:18
working
14:18
on
14:19
it.
14:19
And
14:19
I
14:19
think
14:19
the
14:20
other
14:20
part
14:20
of
14:20
this
14:20
is
14:20
it's
14:21
beta,
14:21
Chris.
14:22
It's
14:22
beta
14:22
during
14:22
the
14:23
highest
14:23
traffic
14:23
time
14:24
of
14:24
the
14:24
season.
14:25
So
14:25
I
14:25
don't
14:25
have
14:26
a
14:26
problem
14:26
with
14:26
them
14:26
launching
14:27
it
14:27
this
14:27
week.
14:27
I
14:27
think
14:27
if
14:27
anything,
14:28
they're
14:28
going
14:28
to
14:28
get,
14:29
if
14:29
they
14:29
get
14:29
any
14:30
traffic
14:30
to
14:30
it,
14:30
which
14:31
again,
14:31
this
14:31
has
14:31
not
14:32
been,
14:32
it's
14:32
not
14:32
on
14:32
cnbc.
14:33
This
14:34
is
14:34
not
14:34
on
14:34
like
14:34
any,
14:35
it's
14:35
all
14:35
in
14:36
trade
14:36
publications
14:36
right
14:37
now.
14:37
So
14:37
my
14:37
guess
14:37
is
14:38
if
14:38
you
14:38
ask
14:38
the
14:38
average
14:39
target
14:39
consumer,
14:40
do
14:40
they
14:40
even
14:40
know
14:41
this
14:41
exists
14:41
right
14:41
now?
14:42
They
14:42
don't.
14:42
And
14:43
all
14:43
that
14:43
Target's
14:44
doing
14:44
is
14:44
getting
14:44
testing
14:45
information
14:45
this
14:45
week
14:46
so
14:46
that
14:46
they
14:46
can
14:46
help
14:47
continue
14:47
to
14:48
evolve
14:48
the
14:48
model
14:49
to
14:49
figure
14:50
out
14:50
what
14:50
the
14:50
right
14:51
user
14:51
experience
14:52
journey
14:53
is
14:53
for
14:53
the
14:53
target
14:54
consumer
14:54
to
14:54
get
14:55
to
14:55
this
14:55
spot.
14:56
So
14:56
I
14:56
think
14:56
there's
14:57
still
14:57
a
14:57
lot
14:57
of
14:57
unknowns
14:58
to
14:58
be
14:58
making
14:59
this
14:59
a
14:59
definitive
15:00
no,
15:01
this
15:01
is
15:01
a
15:01
terrible
15:01
idea.
15:02
All
15:02
right,
15:02
well,
15:03
my
15:03
only,
15:03
my
15:03
only
15:03
retort
15:04
to
15:04
that
15:04
is
15:04
I,
15:05
I
15:05
could
15:05
agree
15:05
with
15:06
those
15:06
points.
15:06
Why
15:06
do
15:07
it
15:07
over
15:07
Black
15:07
Friday?
15:07
Why
15:08
put
15:08
your
15:08
engineering
15:08
team
15:09
slow
15:09
through
15:09
the
15:09
hell
15:09
of
15:10
trying
15:10
to
15:10
make
15:10
this
15:10
thing
15:11
work
15:11
over
15:11
Black
15:11
Friday?
15:12
Why
15:12
not
15:12
just
15:13
wait?
15:13
Why
15:13
not
15:14
wait?
15:14
What's
15:14
the
15:14
big
15:14
deal
15:14
of
15:15
doing
15:15
that
15:15
experimentation
15:16
in
15:16
November
15:17
versus
15:17
waiting
15:17
to
15:17
do
15:17
that
15:18
experimentation
15:18
in
15:18
January?
15:19
I
15:19
think
15:19
you
15:19
did
15:19
bring
15:20
up
15:20
a
15:20
good
15:20
point
15:20
of
15:20
the
15:21
earnings
15:21
report.
15:22
And
15:22
this
15:22
does
15:23
show
15:23
that
15:23
they're
15:23
doing
15:24
something
15:25
to
15:25
course
15:25
correct.
15:26
So
15:26
I,
15:26
I,
15:27
again,
15:27
I
15:27
don't
15:27
have
15:27
a
15:27
problem.
15:28
I
15:28
don't
15:28
think
15:28
it
15:28
seems
15:28
desperate.
15:29
I
15:29
think
15:29
it
15:29
shows
15:30
action
15:30
being
15:30
taken
15:32
instead
15:32
of
15:32
just
15:32
saying,
15:33
again,
15:33
you
15:33
know,
15:33
we're
15:34
relying
15:34
on
15:34
Target
15:35
to
15:35
get
15:35
us
15:35
through
15:35
the
15:35
holiday.
15:36
They're,
15:36
they're
15:37
showing
15:37
that
15:37
they're
15:37
investing
15:38
in
15:38
other
15:38
methods
15:39
that
15:39
are
15:40
the
15:40
future
15:40
of
15:41
shopping
15:41
so
15:42
that
15:42
they
15:42
can
15:42
contend
15:43
with
15:43
the
15:44
Walmarts
15:44
and
15:44
the
15:45
Amazons.
15:46
All
15:46
right,
15:47
well,
15:47
we
15:47
agree
15:47
to
15:47
disagree
15:48
on
15:48
this
15:48
one
15:48
then.
15:50
All
15:50
right,
15:50
headline
15:50
number
15:51
three.
15:51
Kroger
15:51
is
15:52
closing
15:52
some
15:52
of
15:52
its
15:52
automated
15:53
fulfillment
15:54
facilities
15:54
to
15:54
bolster
15:55
its
15:55
E
15:55
Commerce
15:56
profitability.
15:56
According
15:57
to
15:57
GroceryDive,
15:58
in
15:58
a
15:58
bid
15:58
to
15:58
improve
15:59
digital
15:59
profitability
16:00
by
16:00
$400
16:01
million
16:01
in
16:02
2026,
16:03
the
16:03
grocer
16:03
is
16:04
shuttering
16:04
three
16:04
CFCs
16:05
leading
16:06
into
16:06
in
16:07
store
16:07
fulfillment
16:07
and
16:07
expanding
16:08
third
16:08
party
16:08
e
16:09
commerce
16:09
partnerships.
16:10
It
16:10
will
16:10
incur
16:11
impairment
16:12
and
16:12
related
16:12
charges
16:13
of
16:13
$2.6
16:14
billion
16:14
in
16:14
fiscal
16:15
Q3
16:15
of
16:16
this
16:16
year
16:16
as
16:17
a
16:17
result
16:17
of
16:17
those
16:18
changes.
16:18
This
16:19
announcement
16:19
comes
16:19
months
16:20
after
16:20
the
16:20
company
16:21
initiated
16:21
a
16:21
quote,
16:22
full
16:22
site
16:22
by
16:23
site
16:23
analysis,
16:24
end
16:24
quote,
16:24
of
16:24
its
16:25
automated
16:25
order
16:25
fulfillment
16:26
network
16:27
in
16:27
an
16:27
effort
16:27
to
16:27
improve
16:28
digital
16:28
profitability.
16:29
Chris,
16:29
do
16:29
you
16:30
agree
16:30
with
16:30
the
16:30
approach
16:31
Kroger
16:31
is
16:31
taking
16:31
here
16:32
in
16:32
shutting
16:32
down
16:33
its
16:33
automation
16:33
facilities?
16:34
On
16:35
the
16:35
whole,
16:35
I'd
16:35
say
16:35
yes.
16:35
Yes,
16:36
I
16:36
agree
16:36
with
16:36
the
16:36
approach.
16:37
You
16:37
know,
16:37
a
16:37
site
16:38
by
16:38
site
16:38
evaluation
16:38
seems
16:39
like
16:39
it
16:39
makes
16:39
sense.
16:39
It
16:40
seems
16:40
like
16:40
it's
16:40
always
16:40
the
16:40
right
16:40
thing
16:41
to
16:41
do.
16:42
And
16:42
what
16:42
people
16:42
have
16:43
always
16:43
said
16:43
is
16:43
that
16:44
the
16:44
sites
16:44
really
16:44
need
16:45
to
16:45
be
16:45
able
16:45
to
16:45
accommodate
16:46
the
16:46
demand.
16:46
And
16:46
you
16:46
look
16:47
at
16:47
the
16:47
sites
16:47
that
16:47
were
16:48
that
16:48
are
16:48
shutting
16:48
down,
16:49
at
16:49
least
16:49
from
16:49
the
16:49
reporting,
16:50
they're
16:50
sites
16:50
in
16:51
Wisconsin,
16:51
which
16:52
surprised
16:52
me.
16:53
Maryland,
16:54
Florida,
16:54
where
16:54
Kroger
16:55
doesn't
16:55
even
16:56
have
16:56
a
16:56
presence.
16:57
So
16:57
it's
16:57
no
16:57
surprise
16:58
there
16:58
when
16:58
you
16:58
step
16:58
back
16:59
and
16:59
you
16:59
say,
16:59
yeah,
16:59
the
16:59
demand's
17:00
probably
17:00
not
17:00
there
17:00
to
17:01
support
17:01
a
17:01
large
17:01
scale
17:02
automated
17:02
fulfillment
17:03
center.
17:04
Now,
17:04
there
17:05
are
17:05
two
17:05
things
17:05
about
17:05
the
17:06
headline
17:06
that
17:06
I
17:06
don't
17:06
like.
17:07
Number
17:07
one
17:07
of
17:07
which
17:07
is
17:08
$2.6
17:09
billion
17:10
write
17:10
off
17:10
to
17:10
close
17:11
three
17:11
facilities.
17:12
That
17:13
seems
17:13
like
17:13
a
17:14
hell
17:14
of
17:14
a
17:14
lot
17:14
of
17:14
money.
17:15
And
17:15
so
17:15
you
17:15
have
17:15
to
17:16
ask
17:16
the
17:16
question
17:16
of
17:16
like,
17:17
holy
17:17
cow,
17:17
why
17:18
is
17:18
that?
17:18
Like
17:18
how
17:19
big
17:19
of
17:19
an
17:19
error
17:20
was
17:20
this
17:20
in
17:20
strategy
17:21
from
17:21
the
17:21
get
17:22
go?
17:22
And
17:23
then
17:23
second
17:23
of
17:23
all,
17:25
you
17:25
know,
17:25
you
17:25
have
17:25
to
17:25
question
17:26
like
17:26
the,
17:27
the
17:27
way
17:28
the
17:28
headline
17:28
is
17:28
spinning,
17:28
it
17:29
is
17:29
they're
17:29
going
17:29
to
17:29
really
17:29
rely
17:30
on
17:30
in
17:30
store
17:31
fulfillment,
17:32
you
17:32
know,
17:32
to,
17:32
to
17:33
become
17:33
profitable
17:34
via
17:34
E
17:34
Commerce.
17:35
But
17:35
I
17:35
still
17:35
wonder
17:36
if
17:36
there's
17:36
a
17:36
middle
17:36
ground
17:36
there.
17:37
And
17:37
I
17:37
think
17:37
companies
17:37
like
17:38
Voke,
17:39
which
17:39
is
17:39
spun
17:39
out
17:39
from
17:40
the
17:40
Roller
17:40
group,
17:41
and
17:41
they're
17:41
having
17:41
success
17:42
with
17:42
this
17:42
type
17:42
of
17:43
operation
17:43
in
17:44
smaller
17:44
ways
17:45
in
17:45
Europe.
17:46
And
17:46
it's
17:46
a
17:46
smaller
17:47
automated
17:47
facility
17:48
approach.
17:48
So
17:48
I
17:48
think,
17:49
I
17:49
think
17:49
the
17:49
industry
17:49
is
17:50
going
17:50
to
17:50
get
17:50
there.
17:50
I
17:51
hope
17:51
Kroger's
17:51
still
17:51
looking
17:52
at
17:52
that
17:52
option.
17:52
My
17:52
guess
17:53
is
17:53
that
17:53
they
17:53
are.
17:54
I
17:54
think
17:54
the
17:54
industry
17:54
just
17:55
needs
17:55
to
17:55
find
17:55
the
17:55
right
17:56
cocktail
17:56
mix
17:57
to
17:57
use
17:57
the
17:57
analog.
17:57
That's
17:58
the
17:58
analogy
17:58
I
17:58
would
17:58
use
17:58
here.
17:59
Anne.
17:59
Yeah,
18:00
I
18:00
agree
18:00
I
18:00
think,
18:01
you
18:01
know,
18:02
is
18:02
this
18:02
the
18:02
end
18:02
of
18:02
CFCs
18:03
as
18:03
we
18:04
know
18:04
it?
18:04
I
18:04
don't
18:04
think
18:04
so.
18:05
I
18:05
think
18:05
like
18:06
you
18:06
said,
18:06
Kroger
18:06
is
18:07
just
18:07
running
18:07
another
18:08
parallel
18:08
experiment
18:09
here
18:09
with
18:09
the
18:10
third
18:10
party
18:10
delivery
18:11
and
18:11
with
18:11
the
18:12
in
18:12
store
18:12
automation
18:13
that
18:13
they
18:13
have,
18:13
as
18:14
Kim
18:14
Beaudry,
18:14
who
18:15
we
18:15
had
18:15
on
18:15
from
18:15
Dematic
18:16
a
18:16
long
18:16
time
18:16
ago
18:17
predicted.
18:17
You
18:18
know,
18:18
this
18:18
is,
18:18
this
18:19
is
18:19
a
18:19
way
18:19
to
18:19
try
18:20
to
18:20
figure
18:20
out
18:20
how
18:21
to
18:21
do
18:21
this
18:22
much
18:22
more
18:22
efficiently
18:23
and
18:24
to
18:24
really
18:25
test
18:25
what
18:25
the
18:25
throughput
18:26
is
18:26
going
18:26
to
18:26
be.
18:26
So
18:27
I
18:27
think,
18:28
I
18:28
think
18:29
while
18:29
it's
18:29
a
18:30
lot
18:30
of
18:30
money
18:30
to
18:30
lose,
18:31
it's
18:31
a
18:31
big
18:31
write
18:32
off.
18:32
I
18:33
do
18:33
think
18:33
that
18:33
it
18:34
makes
18:34
sense
18:34
to
18:35
start
18:35
to
18:35
pause
18:36
this
18:36
sooner
18:36
rather
18:37
than
18:37
later
18:37
because
18:38
obviously
18:38
there's
18:39
more
18:39
and
18:39
more
18:39
and
18:39
more
18:40
that's
18:40
continuing
18:40
to
18:40
be
18:41
invested
18:41
in
18:41
operating
18:41
these
18:42
CFCs
18:42
the
18:42
way
18:42
that
18:43
they
18:43
are.
18:44
I
18:45
also
18:45
wonder
18:46
and
18:46
I'm
18:46
curious
18:47
to
18:47
get
18:47
your
18:47
thoughts
18:47
on
18:47
this
18:48
too.
18:49
CFCs
18:49
are
18:50
great
18:50
for
18:51
and
18:52
even
18:52
automation
18:53
in
18:53
the
18:53
back
18:53
of
18:53
house
18:54
of
18:54
grocery
18:54
stores.
18:55
It's
18:55
great
18:55
when
18:55
you
18:56
have
18:56
center
18:56
store
18:56
items,
18:57
things
18:57
that
18:57
are
18:57
ambient
18:58
temperatures.
18:59
But
18:59
I'm
18:59
curious,
19:00
you
19:00
know,
19:00
what
19:01
is
19:01
the
19:01
cost
19:01
for
19:02
this
19:02
stuff
19:02
look
19:02
like
19:03
and
19:03
the
19:03
layout
19:04
because
19:04
you
19:04
and
19:04
I
19:04
have
19:04
been
19:04
in
19:05
several
19:05
of
19:05
these.
19:06
As
19:06
we
19:06
start
19:07
to
19:07
hear
19:07
more
19:07
and
19:07
more
19:08
grocers
19:08
around
19:09
the
19:09
US
19:09
talking
19:10
about
19:11
how
19:11
the
19:11
customer
19:12
is
19:12
looking
19:12
for
19:13
more
19:13
fresh
19:13
product,
19:14
more,
19:15
you
19:15
know,
19:15
more
19:16
refrigerated
19:16
product,
19:17
more
19:17
perishables,
19:18
how
19:19
does
19:19
that
19:19
cost
19:19
impact
19:20
what
19:21
they're
19:21
able
19:21
to
19:21
do
19:22
from,
19:22
you
19:23
know,
19:23
picking
19:23
from
19:24
a
19:24
CFC
19:24
or
19:24
from
19:25
an
19:25
automated
19:26
warehouse
19:26
in
19:26
the
19:26
store
19:27
behind
19:27
the
19:27
scenes
19:28
or
19:28
you
19:29
know,
19:29
somebody
19:29
just
19:30
going
19:30
through
19:30
and
19:30
picking
19:31
up
19:31
those
19:31
items
19:32
in
19:32
a
19:32
store
19:33
via
19:34
instacart
19:34
or
19:34
doordash
19:35
like
19:35
Kroger
19:35
is
19:36
doing.
19:36
I'm,
19:36
I'm
19:36
curious
19:37
as
19:37
the,
19:37
the
19:38
product
19:38
set
19:38
starts
19:39
to
19:39
evolve
19:40
in
19:40
what
19:40
customers
19:41
are
19:41
demanding
19:41
of
19:41
their
19:42
grocery
19:42
stores,
19:42
how
19:43
the
19:43
cost
19:43
for
19:43
this
19:43
might
19:44
fluctuate
19:44
because
19:45
more
19:45
things
19:45
are
19:46
requiring
19:46
refrigeration.
19:47
I
19:47
don't
19:48
know
19:48
if
19:48
that's
19:48
coming
19:48
into
19:49
play
19:49
here
19:49
at
19:49
all,
19:49
but.
19:50
Curious
19:50
to
19:50
get
19:50
your
19:50
thoughts
19:51
on
19:51
that,
19:51
Chris?
19:52
Well,
19:52
I
19:52
think
19:52
it's
19:52
always
19:53
in
19:53
play.
19:53
I
19:53
mean
19:53
that's
19:53
the
19:54
tough
19:54
part
19:54
is
19:54
the
19:54
refrigerated
19:55
and
19:55
frozen
19:55
items,
19:55
you
19:55
know,
19:56
being
19:56
able
19:56
to
19:56
pick
19:56
and
19:57
pack
19:57
them
19:57
or
19:57
the
19:57
loose
19:58
items
19:58
is
19:58
always
19:58
the
19:58
right
19:59
challenge
19:59
in
19:59
this.
20:00
And
20:00
you
20:00
know,
20:00
I,
20:01
you
20:01
know,
20:01
I
20:01
alluded
20:02
to
20:02
Loke
20:02
earlier.
20:02
We're
20:03
going
20:03
to
20:03
have
20:03
their
20:03
CEO
20:04
Richard
20:04
McKenzie
20:05
on
20:05
five
20:05
insightful
20:06
minutes
20:06
with
20:06
us
20:06
hopefully
20:07
here
20:07
upcoming.
20:08
And
20:08
you
20:08
know,
20:09
I
20:09
think
20:09
that's
20:09
a
20:09
question
20:09
we
20:09
should
20:10
ask
20:10
him
20:10
is
20:10
like,
20:10
you
20:10
know,
20:10
how
20:11
do
20:11
you
20:11
think
20:11
about
20:11
this
20:11
now?
20:12
But
20:12
also
20:12
in
20:12
the
20:12
context
20:13
of
20:13
how
20:13
the
20:14
grocery
20:14
product
20:14
choices
20:15
are
20:15
evolving
20:16
both
20:16
internationally
20:17
and
20:17
particularly
20:17
here
20:17
in
20:17
the
20:17
United
20:18
States
20:18
with
20:18
GLP1,
20:19
because
20:19
I
20:19
think
20:19
that's
20:19
what
20:19
you're
20:20
alluding
20:20
to
20:20
here
20:20
in
20:20
terms
20:21
of
20:21
the
20:21
mix
20:22
of
20:22
what
20:22
people
20:22
are
20:22
wanting
20:22
or
20:23
is
20:23
changing
20:23
and
20:24
will
20:24
that
20:24
impact
20:25
the
20:25
eventual
20:26
migration
20:26
and
20:27
cost
20:27
benefit
20:28
analysis
20:28
of
20:28
standing
20:29
up
20:29
automation
20:29
across
20:30
grocery.
20:30
So
20:30
yeah,
20:31
I
20:31
think
20:31
it's
20:31
an
20:31
interesting
20:31
question.
20:32
We
20:32
should
20:32
keep
20:32
that
20:32
on
20:32
the
20:32
roadmap
20:33
for,
20:33
for
20:34
them
20:34
and
20:34
Domatic
20:34
and
20:35
whomever
20:35
else
20:35
we
20:35
have
20:35
gone.
20:36
All
20:36
right,
20:36
well
20:37
let's
20:37
bring
20:37
on
20:37
Danielle
20:38
to
20:38
award
20:39
this
20:39
month's
20:39
Retail
20:40
Tech
20:40
Startup
20:41
of
20:41
the
20:41
Month.
20:50
Lets
20:51
give
20:51
a
20:51
big
20:51
omnitalk
20:52
welcome
20:52
back
20:52
to
20:52
AWS's
20:53
Daniela
20:54
Stropa
20:54
to
20:54
hand
20:54
out
20:55
this
20:55
month's
20:55
Retail
20:56
Tech
20:56
Startup
20:57
of
20:57
the
20:57
Month
20:57
award.
20:58
Daniele
20:58
is
20:58
the
20:59
worldwide
20:59
technical
21:00
lead
21:00
for
21:00
AWS
21:01
Partners
21:01
in
21:02
Retail
21:02
at
21:02
Amazon
21:03
Web
21:03
Services
21:03
where
21:04
he
21:04
drives
21:04
a
21:04
technical
21:05
strategy
21:05
for
21:05
AWS
21:06
Partners
21:06
in
21:06
Digital
21:07
Commerce,
21:07
Customer
21:08
engagement
21:08
and
21:09
Generative
21:09
AI.
21:10
Danelli,
21:11
it's
21:11
always
21:11
great
21:11
to
21:12
have
21:12
you
21:12
back.
21:12
I
21:12
think
21:13
this
21:13
is
21:13
what
21:13
your
21:14
sixth
21:14
time
21:14
handing
21:15
out
21:15
this
21:15
award
21:15
with
21:16
us.
21:17
It
21:17
is,
21:17
it
21:17
is,
21:17
yeah.
21:18
Wow.
21:19
Time,
21:19
time
21:20
flies
21:20
and.
21:21
All
21:21
right,
21:21
well
21:21
without
21:22
further
21:22
ado,
21:23
who
21:23
is
21:23
November's
21:24
Retail
21:25
Tech
21:25
Startup
21:25
of
21:26
the
21:26
Month?
21:26
Right.
21:26
So
21:27
Chris,
21:27
this
21:27
month
21:27
I'm
21:28
really
21:28
excited
21:28
to
21:29
talk
21:29
about
21:30
Symfony
21:30
AI
21:31
and
21:31
that
21:32
is
21:32
S
21:32
Y
21:33
M
21:33
P
21:33
H
21:34
O.
21:34
N
21:35
y
21:35
a
21:35
I.com
21:37
Danelli,
21:37
thank
21:38
you
21:38
so
21:38
much.
21:38
We're
21:39
so
21:39
excited
21:39
to
21:39
hear
21:40
more
21:40
about
21:40
Symphony
21:41
AI.
21:41
So
21:41
tell
21:41
our
21:42
audience
21:42
and
21:43
Chris
21:43
and
21:43
myself,
21:44
what
21:44
is
21:44
it
21:45
that
21:45
they
21:45
do
21:46
and
21:46
what
21:47
really
21:47
sets
21:47
them
21:47
apart
21:48
from
21:48
some
21:48
other
21:49
players
21:49
in
21:49
the
21:49
AI
21:50
space?
21:50
Basically,
21:51
they
21:52
enable
21:53
retailers
21:55
through
21:56
a
21:56
computer
21:56
vision
21:57
solution
21:58
that
21:58
can
21:58
be
21:58
deployed
21:59
in
21:59
their
22:00
physical
22:01
stores,
22:01
in
22:01
their
22:01
retail
22:02
stores.
22:04
And
22:05
they
22:05
leverage
22:06
existing
22:07
cameras,
22:08
existing
22:09
networks
22:09
there
22:10
and
22:10
really
22:11
provide
22:11
the
22:12
retailers
22:13
there
22:13
with
22:14
actionable
22:15
items
22:16
to
22:17
address
22:17
the
22:18
out
22:18
of
22:18
stock
22:19
issue,
22:19
the
22:20
out
22:20
of
22:20
stock
22:20
problem.
22:21
So
22:21
instead
22:22
of
22:22
just
22:22
providing
22:23
a
22:23
set
22:23
of
22:24
dashboards
22:25
and
22:25
insights
22:26
that
22:27
you
22:28
can
22:28
look
22:28
at,
22:29
you
22:29
actually
22:29
know
22:30
what
22:30
to
22:30
do
22:30
and
22:31
exactly
22:32
what
22:32
needs
22:33
to
22:33
be
22:33
fixed
22:34
first
22:35
in
22:35
order
22:35
to
22:35
maximize
22:37
sales
22:37
impact.
22:38
So
22:38
that's
22:38
really
22:39
for
22:39
me
22:39
the
22:39
difference
22:40
between
22:41
knowing
22:41
that
22:42
there
22:42
is
22:42
a
22:43
problem
22:43
and
22:43
knowing
22:44
what
22:45
to
22:45
do
22:45
to
22:45
address
22:46
it
22:46
and
22:46
how
22:46
to
22:47
solve
22:47
it.
22:47
Right.
22:48
So
22:48
when
22:49
you
22:49
see
22:49
retailers
22:50
that
22:50
can
22:50
achieve
22:51
25%
22:52
increase
22:53
in
22:53
productivity,
22:54
labor
22:54
productivity,
22:55
and
22:56
at
22:56
the
22:56
same
22:56
time
22:57
improve
22:57
on
22:57
shelf
22:58
availability
22:59
by
22:59
5
22:59
to
22:59
7%,
23:01
you
23:01
know
23:01
that
23:01
this
23:01
is
23:02
a
23:02
technology
23:02
that
23:03
actually
23:03
works
23:04
in
23:04
a
23:04
real
23:05
world
23:05
scenario.
23:06
Yeah.
23:06
And
23:06
Danielle,
23:07
I
23:07
mean
23:07
I
23:07
imagine
23:07
once
23:08
they
23:08
have
23:08
clear
23:08
impact
23:09
inventory
23:09
visibility,
23:10
they're
23:10
getting
23:10
this
23:11
real
23:11
time
23:11
data
23:12
then
23:12
from
23:13
the
23:13
cameras
23:13
that
23:13
already
23:14
exist
23:14
in
23:15
their
23:15
stores.
23:16
They're
23:16
able
23:16
to
23:17
prioritize
23:17
tasks,
23:18
like
23:18
you
23:18
said,
23:18
to
23:19
make
23:19
the
23:19
most
23:19
impact
23:19
in
23:19
the
23:20
stores.
23:20
But
23:20
what
23:20
do
23:21
you
23:21
think
23:21
some
23:21
of
23:21
the
23:21
longer
23:22
term
23:22
implications
23:23
of
23:23
this
23:23
technology
23:24
will
23:24
be
23:24
across
23:24
retail
23:25
as
23:25
this
23:26
continues
23:26
to
23:27
get
23:27
smarter?
23:28
I
23:28
think
23:28
we
23:28
are
23:28
at
23:28
a
23:29
point
23:29
now
23:29
where
23:31
we're
23:31
seeing
23:32
a
23:32
transformation
23:33
in
23:33
retail
23:34
operations
23:35
moving
23:35
from
23:36
the
23:37
reactive
23:38
store
23:38
management
23:39
approach
23:40
to
23:40
a
23:41
predictive
23:42
AI
23:42
driven
23:43
operation.
23:44
And
23:44
really
23:45
Symfony
23:45
AI
23:46
is
23:46
right
23:46
there
23:47
at
23:48
the
23:48
forefront
23:48
of
23:49
this
23:49
transformation.
23:52
And
23:53
I
23:53
think
23:53
the
23:54
way
23:54
they
23:54
are
23:55
addressing
23:56
some
23:56
of
23:58
the
23:59
challenges,
23:59
some
23:59
of
24:00
the
24:00
tension
24:00
that
24:00
you
24:01
see
24:01
with
24:02
retailers
24:02
struggling
24:03
today,
24:04
things
24:04
like
24:05
labor
24:05
cost
24:07
and
24:07
customer
24:07
expectations,
24:09
I
24:09
think
24:09
that's
24:09
really
24:11
the
24:11
key
24:12
here.
24:13
Their
24:14
computer
24:15
vision
24:15
technology
24:16
detects
24:17
issues
24:18
that
24:18
shelves
24:19
issues
24:19
in
24:20
real
24:20
time
24:21
and
24:21
delivers
24:22
a
24:22
prioritized
24:24
work
24:24
list
24:25
so
24:25
that
24:25
the
24:26
team
24:26
can
24:26
really
24:26
focus
24:27
on
24:27
those
24:27
highest
24:28
impact
24:29
problems
24:30
first
24:30
and
24:31
address
24:31
that
24:32
by
24:33
priority.
24:34
And
24:36
like
24:36
a
24:37
large
24:37
retailer,
24:38
one
24:38
of
24:38
their
24:39
customers,
24:39
a
24:39
large
24:39
retailer,
24:40
achieved
24:42
20%
24:43
lower
24:44
infrastructure
24:44
cost
24:45
while
24:46
personalizing
24:47
planograms
24:48
across
24:49
over
24:49
300
24:50
stores.
24:51
This
24:51
is
24:52
not
24:52
a
24:52
small
24:53
improvement,
24:53
it's
24:54
not
24:54
just
24:54
an
24:54
incremental
24:55
improvement,
24:55
but
24:55
it's
24:55
really
24:56
a
24:56
transformational
24:57
change
24:58
that
24:58
can
24:59
reimagine,
25:00
that
25:00
can
25:00
transform
25:01
physical
25:02
retail
25:03
operations.
25:03
So
25:04
Daniele,
25:04
let's
25:04
get
25:04
you
25:04
out
25:05
of
25:05
here
25:05
on
25:05
this.
25:05
Because
25:05
the
25:05
one
25:05
thing
25:05
that's
25:06
going
25:06
through
25:06
my
25:06
head
25:06
and
25:07
I
25:07
take
25:07
a
25:08
lot
25:08
of
25:08
pride
25:08
in,
25:08
there's
25:09
a
25:09
lot
25:09
of
25:09
computer
25:10
vision
25:10
based
25:10
systems
25:11
out
25:11
there.
25:12
You
25:12
can
25:12
use
25:13
fixed
25:13
cameras,
25:14
you
25:14
can
25:14
use
25:14
robotics.
25:15
And
25:15
we
25:16
take
25:16
a
25:16
lot
25:16
of
25:16
pride
25:16
in
25:16
saying
25:17
there's
25:17
no
25:17
one
25:17
right
25:17
solution
25:18
for
25:18
any
25:18
brand
25:18
or
25:19
retailer
25:19
out
25:19
there
25:19
because
25:20
every
25:20
brand
25:20
or
25:20
retailer
25:21
is
25:21
different.
25:22
And
25:22
I
25:23
don't
25:23
think
25:23
based
25:23
on
25:24
what
25:24
you're
25:24
saying,
25:24
it's
25:25
a
25:25
mutually
25:25
exclusive
25:26
approach
25:26
either.
25:26
Do
25:27
you
25:27
agree
25:27
with
25:27
that?
25:28
And
25:28
then
25:28
what
25:28
is
25:29
the
25:29
value
25:29
you
25:29
would
25:29
tell
25:30
retail
25:30
executives
25:30
to
25:31
looking
25:31
at
25:31
something
25:31
like
25:32
a
25:32
symphony
25:32
AI
25:33
for
25:33
their
25:33
fixed
25:33
position
25:34
camera
25:34
systems?
25:35
I
25:35
agree.
25:36
I
25:36
don't
25:36
think
25:36
there
25:37
is
25:37
one,
25:39
one
25:39
solution
25:39
that
25:40
solves
25:41
everything.
25:41
There's
25:42
no
25:42
silver
25:43
bullets.
25:43
Right.
25:43
So
25:45
I
25:45
think
25:46
the
25:47
differentiation
25:48
here
25:49
for
25:50
symfony
25:50
that
25:50
there
25:51
are
25:52
unique
25:53
point
25:53
here
25:53
is
25:53
really
25:54
that
25:55
actionable
25:56
item
25:56
that
25:57
prioritize
25:58
actionable
25:59
work
25:59
list.
26:00
Exactly.
26:01
It's
26:01
not
26:02
just
26:02
okay,
26:03
yeah,
26:03
we
26:03
have
26:03
some
26:04
out
26:04
of
26:04
stock
26:04
in
26:06
1,
26:06
2,
26:06
3,
26:06
whatever.
26:07
Right.
26:07
But
26:08
it's
26:08
really
26:08
okay.
26:09
These
26:09
are
26:09
the
26:10
items
26:10
that
26:10
we
26:11
need
26:11
to
26:11
fix
26:11
first
26:12
in
26:12
order
26:12
to
26:12
maximize
26:14
the
26:14
impact
26:15
in
26:15
order
26:15
to
26:15
maximize
26:16
sales.
26:16
Which
26:17
is
26:17
a
26:17
great
26:17
point
26:17
because
26:17
for
26:18
technology
26:18
to
26:18
be
26:18
successful,
26:19
it
26:19
also
26:19
has
26:19
to
26:19
work
26:19
within
26:20
the
26:20
process
26:20
flow
26:21
of
26:21
the
26:21
organization
26:22
that's
26:22
adopting
26:22
it
26:23
too.
26:23
So.
26:24
All
26:24
right,
26:24
well,
26:24
thanks
26:24
Danielle,
26:25
thank
26:26
you.
26:31
All
26:31
right.
26:31
And
26:32
producer,
26:32
I
26:32
got
26:32
a
26:33
question
26:33
for
26:33
you.
26:33
Is
26:34
your
26:34
milkshake
26:34
better
26:35
than
26:35
mine?
26:35
Because
26:36
Gaps
26:36
comparable
26:37
sales
26:38
surged
26:38
after
26:39
its
26:39
milkshake
26:40
Denimad
26:40
with
26:41
Cat's
26:41
eye.
26:42
According
26:42
to
26:42
CNBC,
26:43
Gap
26:43
Inc.
26:44
Said
26:44
Thursday
26:44
its
26:44
comparable
26:45
sales
26:45
rose
26:45
5%
26:46
during
26:46
the
26:46
fiscal
26:47
third
26:47
quarter,
26:47
driven
26:48
by
26:48
strong
26:48
revenue
26:49
at
26:49
its
26:49
namesake
26:50
brand
26:50
after
26:50
its
26:51
viral
26:51
Better
26:51
in
26:52
Denim
26:52
campaign.
26:52
With
26:52
girl
26:53
group
26:53
Cat's
26:53
Eye
26:54
putting
26:54
aside
26:55
pandemic
26:55
related
26:56
spikes,
26:56
the
26:57
rise
26:57
in
26:57
comparable
26:57
sales
26:58
was
26:58
the
26:58
strongest
26:58
growth
26:59
for
26:59
Gap
26:59
since
26:59
its
27:00
fiscal
27:00
2017
27:01
holiday
27:01
quarter
27:02
and
27:02
was
27:02
well
27:03
ahead
27:03
of
27:03
Wall
27:03
street
27:03
expectations
27:04
of
27:04
3.1%.
27:06
During
27:06
the
27:06
quarter,
27:07
Gap's
27:07
comparable
27:07
sales
27:08
rose
27:08
a
27:08
staggering
27:09
7%.
27:10
Old
27:10
Navy's
27:11
rose
27:11
6%.
27:12
Banana.
27:13
Yes,
27:13
banana
27:14
was
27:14
up
27:14
4%.
27:15
While
27:15
athletics
27:16
comps.
27:16
Yeah,
27:17
they
27:17
kind
27:17
of
27:17
were
27:17
still
27:17
not
27:18
very
27:18
good.
27:18
They
27:18
were
27:18
still
27:19
down
27:19
11%.
27:20
And
27:20
has
27:20
Dixon,
27:21
Richard
27:22
Dixon,
27:22
officially
27:23
right
27:23
of
27:23
the
27:23
ship
27:24
at
27:24
the
27:24
Gap?
27:25
Well,
27:26
it's
27:26
not
27:27
surprising
27:27
to
27:27
me
27:28
that
27:28
as
27:28
a
27:28
former
27:29
CEO
27:29
of
27:29
an
27:29
entertainment
27:30
company,
27:30
that
27:31
he
27:31
is
27:31
making
27:32
the
27:32
Gap
27:32
entertaining
27:33
again.
27:34
He's
27:34
got
27:34
Gen
27:35
Z
27:35
talking
27:35
about
27:36
it.
27:36
Millennials
27:37
are
27:37
talking
27:37
about
27:37
it.
27:37
Xers
27:38
are
27:38
you.
27:38
Gen
27:38
Xers
27:39
are
27:39
even
27:39
nostalgic
27:40
for
27:40
the
27:40
Gap
27:41
of
27:41
old.
27:43
Anecdotally,
27:43
my
27:43
friends
27:44
and
27:44
I
27:44
have
27:44
been
27:44
talking
27:44
about
27:45
it
27:45
and
27:45
passing
27:45
around
27:46
the.
27:46
The
27:47
new
27:47
TV
27:47
spot
27:48
that
27:48
they
27:48
just
27:48
put
27:48
out
27:49
with
27:49
the
27:49
choir.
27:50
I
27:50
think
27:50
it's
27:51
great
27:51
content,
27:52
it's
27:52
entertaining.
27:54
But
27:54
now
27:56
what
27:56
will
27:57
that
27:57
mean
27:58
for
27:58
getting
27:58
butts
27:58
in
27:59
Gap
27:59
denim?
28:00
That's
28:00
the
28:00
question
28:00
that
28:01
I
28:01
have,
28:01
because
28:01
I
28:01
think
28:02
it's
28:02
piquing
28:02
a
28:02
lot
28:02
of
28:03
curiosity.
28:04
But.
28:05
And
28:05
based
28:05
on
28:05
this
28:06
quarter's
28:06
success,
28:06
I
28:07
think
28:07
it
28:07
appears
28:07
that
28:07
it's
28:08
peaking
28:08
interest
28:08
from
28:09
people.
28:09
People.
28:09
And
28:09
that's
28:10
for
28:10
sure
28:10
a
28:10
great
28:10
start.
28:11
So
28:11
I
28:11
think
28:12
that
28:12
Richard
28:12
Dixon
28:13
should
28:13
get
28:13
credited
28:14
for
28:14
that.
28:14
But
28:15
even
28:15
Dixon
28:16
himself
28:16
said,
28:16
you
28:17
know,
28:17
this
28:17
is
28:17
a
28:18
story
28:18
about
28:18
consistency,
28:19
a
28:19
mix
28:20
of
28:20
better
28:20
product
28:20
marketing
28:21
and
28:21
partnerships
28:21
to
28:22
maintain
28:22
this
28:22
growth.
28:22
So
28:22
I
28:23
think
28:23
even
28:23
Dixon
28:23
knows,
28:24
like,
28:24
there's
28:24
still
28:24
work
28:25
to
28:25
be
28:25
done
28:25
before
28:26
we
28:26
give
28:26
him
28:26
the
28:26
award
28:27
for
28:27
saving
28:27
the
28:27
Gap
28:28
and
28:28
completely
28:28
turning
28:28
it
28:29
around.
28:29
But
28:29
I
28:30
do
28:30
think
28:30
that
28:30
this
28:31
is
28:31
a
28:31
good
28:31
start.
28:31
You
28:31
know,
28:32
first
28:32
you
28:32
have
28:32
to
28:32
tell
28:32
people
28:32
that
28:33
you
28:33
exist
28:33
again,
28:34
and
28:34
he's
28:35
doing
28:35
a
28:35
good
28:35
job
28:35
of
28:35
that.
28:35
But
28:36
as
28:36
a
28:36
former
28:37
Gapper,
28:37
how
28:38
do
28:38
you
28:38
feel
28:38
about
28:38
this?
28:39
I.
28:39
I
28:39
think.
28:40
I
28:40
think
28:40
he's.
28:40
He's
28:40
definitely
28:41
doing
28:41
it.
28:41
Seems
28:41
like
28:41
he's
28:42
turning
28:42
things
28:42
in
28:42
the
28:42
right
28:42
direction,
28:43
but
28:43
I
28:43
think
28:43
it's
28:43
still
28:44
too
28:44
early
28:45
to
28:45
tell.
28:45
But
28:45
I
28:45
like
28:45
the
28:46
trend.
28:46
You
28:46
know,
28:46
I
28:46
think
28:46
I
28:47
went
28:47
into
28:47
the
28:47
numbers
28:48
a
28:48
little
28:48
bit
28:48
more
28:48
on
28:49
this
28:49
story.
28:50
You
28:50
know,
28:50
I
28:50
looked
28:50
at
28:50
their
28:50
two
28:51
year
28:51
stacks
28:51
for
28:51
the
28:51
last
28:51
three
28:52
quarters.
28:52
Q1,
28:52
it's
28:53
plus
28:53
5,
28:53
Q2,
28:54
plus
28:54
4,
28:55
Q3,
28:55
plus
28:55
6.
28:56
That's
28:56
a,
28:56
that's
28:57
pretty
28:57
good.
28:57
That's
28:58
pretty
28:58
good
28:58
results.
28:58
And
28:58
if
28:59
I
28:59
go
28:59
back
28:59
three
28:59
years,
29:00
the
29:00
only
29:00
quarter
29:00
that
29:00
isn't
29:01
positive
29:02
is
29:02
Q2.
29:02
So
29:03
overall
29:03
I
29:03
think
29:03
that's
29:04
pretty
29:04
good
29:04
performance.
29:05
The
29:05
profit
29:06
line
29:06
from
29:06
the
29:06
quarter
29:07
worries
29:07
me
29:07
a
29:08
bit.
29:08
They
29:08
said
29:08
that's
29:08
related
29:09
to
29:09
tariffs,
29:09
but
29:09
I'm
29:10
curious
29:10
if
29:10
that's
29:10
actually
29:11
masking
29:11
anything
29:12
else.
29:12
You
29:12
do
29:12
have
29:12
to
29:12
ask
29:13
that
29:13
question,
29:13
I
29:13
think.
29:14
And
29:14
the
29:14
other
29:15
thing
29:15
I
29:15
worry
29:15
about,
29:15
and
29:16
you
29:16
kind
29:16
of
29:16
alluded
29:16
to
29:17
this
29:17
too,
29:17
is
29:17
the
29:17
flashy
29:18
marketing.
29:18
Marketing
29:19
is
29:19
one
29:19
thing,
29:20
but
29:20
you
29:20
have
29:20
to
29:20
get
29:20
the
29:21
product
29:21
right
29:21
too.
29:22
And
29:22
both
29:22
are,
29:23
both
29:23
are
29:23
hard
29:24
to
29:24
do
29:24
and
29:24
get
29:24
right
29:25
year
29:25
over
29:25
year.
29:25
Marketing
29:26
can
29:26
spur
29:26
you
29:26
to
29:27
buy
29:27
once,
29:28
but
29:28
can
29:28
it
29:29
spur
29:29
you
29:29
to
29:29
buy
29:29
it
29:29
that
29:30
second
29:30
time?
29:30
So
29:31
when
29:31
you
29:31
get
29:31
that
29:31
butt
29:31
into
29:32
the
29:32
denim
29:32
the
29:32
first
29:32
time,
29:33
do
29:33
you
29:33
like
29:33
it
29:33
enough
29:33
to
29:34
want
29:34
to
29:34
come
29:34
back?
29:35
Because
29:35
that
29:35
flashy
29:36
marketing
29:36
is
29:36
not
29:36
going
29:36
to
29:36
get
29:37
you
29:37
back
29:37
the
29:37
second
29:37
time.
29:38
So.
29:38
But
29:38
to
29:38
me,
29:39
when
29:39
I
29:39
look
29:39
at
29:39
the
29:39
financials,
29:40
the
29:41
proof
29:41
will
29:41
be
29:41
in
29:42
the
29:42
pudding.
29:42
Falling
29:43
Q1
29:43
of
29:44
2026
29:45
because
29:45
that
29:45
looks
29:45
like
29:46
the
29:46
big
29:46
comp
29:46
hurdle
29:47
in
29:47
the
29:47
numbers.
29:48
Like
29:48
if
29:48
you
29:48
can
29:48
get
29:49
that
29:49
again,
29:50
you
29:50
can
29:50
show
29:50
a
29:50
positive
29:51
comp
29:51
in
29:51
the
29:51
first
29:52
quarter,
29:52
then
29:53
yeah,
29:53
I'm
29:54
going
29:54
to
29:54
give
29:54
him
29:54
the
29:54
official
29:55
you've
29:55
turned
29:55
this
29:55
company
29:55
around
29:56
award
29:56
and
29:56
you're
29:56
doing
29:56
a
29:57
great
29:57
job
29:57
seal
29:57
of
29:57
approval.
29:59
All
29:59
right.
29:59
Well,
29:59
hopefully
30:00
it's
30:00
a
30:00
happy
30:00
holiday
30:01
for
30:01
Gap.
30:03
Otherwise,
30:04
I
30:04
don't
30:05
know.
30:05
I
30:05
don't
30:05
know
30:05
what's
30:05
next.
30:06
I
30:06
don't
30:06
know
30:06
what.
30:06
I
30:06
don't
30:07
know
30:07
who
30:07
can
30:07
save
30:07
you
30:08
when
30:08
it
30:08
comes
30:08
to
30:08
these
30:09
celebrity
30:10
spots.
30:10
But
30:11
yeah,
30:12
gotta,
30:12
gotta
30:12
have
30:13
the
30:13
product
30:13
down.
30:14
All
30:14
right,
30:15
let's
30:15
get
30:15
to
30:15
headline
30:16
number
30:16
five.
30:16
Bath
30:16
and
30:17
Body
30:17
Works
30:17
is
30:17
planning
30:18
to
30:18
launch
30:18
on
30:18
Amazon
30:19
early
30:19
next
30:19
year.
30:20
We've
30:21
had
30:21
Bath
30:21
and
30:21
Body
30:21
Works
30:22
in
30:22
the
30:22
show
30:22
more
30:23
this
30:23
year.
30:23
I
30:23
know.
30:24
I
30:24
think
30:24
we
30:24
have
30:25
ever.
30:26
According
30:27
to
30:27
retail
30:27
dive,
30:28
Bath
30:28
and
30:28
Body
30:28
Works
30:28
will
30:29
start
30:29
with
30:29
a
30:29
small
30:29
assortment
30:30
of
30:30
its
30:30
evergreen
30:30
products
30:31
on
30:31
Amazon
30:32
in
30:32
order
30:32
to
30:32
quote,
30:33
test
30:33
and
30:33
learn
30:34
and
30:34
quote
30:34
and
30:35
build
30:35
ratings
30:35
and
30:36
reviews.
30:36
According
30:36
to
30:36
CEO
30:37
Daniel
30:38
Heath.
30:39
He
30:39
also
30:40
said
30:40
that
30:40
Bath
30:41
and
30:41
Body
30:41
believes
30:41
somewhere
30:42
between
30:42
60
30:43
to
30:43
80
30:43
million
30:44
dollars
30:44
of
30:44
gray
30:45
market
30:45
sales
30:45
are
30:45
already
30:46
happening
30:46
via
30:46
Amazon
30:47
and
30:48
that
30:48
such
30:48
sales
30:48
are
30:48
both
30:49
brand
30:49
dilutive
30:50
and
30:50
product
30:51
dilutive.
30:52
Chris,
30:52
this
30:52
is
30:53
also
30:53
the
30:53
A
30:53
and
30:54
M
30:54
put
30:54
you
30:54
on
30:54
the
30:54
spot
30:54
question.
30:55
Yeah,
30:56
A
30:57
and
30:57
M
30:57
would
30:57
like
30:57
to
30:58
know
30:58
more
30:58
and
30:58
more
30:59
brands
30:59
are
30:59
opening
31:00
up
31:00
curated
31:00
assortments
31:00
on
31:01
marketplaces
31:01
like
31:01
Amazon
31:02
on
31:03
one
31:03
hand
31:03
it's
31:04
a
31:04
chance
31:04
to
31:04
meet
31:04
consumers
31:05
where
31:05
they
31:05
are
31:05
already.
31:06
Sorry,
31:07
where
31:07
they
31:07
already
31:07
shop.
31:08
But
31:08
on
31:08
the
31:09
other
31:09
it
31:09
raises
31:09
questions
31:10
about
31:10
brand
31:10
control,
31:11
margins
31:11
and
31:11
what
31:12
happens
31:12
to
31:12
the
31:13
in
31:13
store
31:13
magic.
31:14
How
31:15
should
31:15
companies
31:15
be
31:16
thinking
31:16
about
31:17
this
31:17
trade
31:17
off?
31:17
I
31:18
think
31:18
this
31:18
topic's
31:18
really
31:18
interesting.
31:19
It
31:19
is,
31:19
you're
31:19
right.
31:19
It's
31:20
interesting
31:20
to
31:20
see
31:20
Bath
31:21
and
31:21
Body
31:21
Works
31:21
in,
31:21
in
31:22
the
31:22
headlines
31:22
again.
31:23
I
31:23
think
31:23
the
31:24
AI
31:24
discussion
31:25
that
31:25
we
31:25
had
31:25
earlier
31:26
changes
31:27
the
31:27
calculus
31:28
on
31:28
this
31:28
a
31:28
little
31:28
bit.
31:31
And
31:31
so
31:31
for
31:31
that
31:32
reason,
31:32
actually,
31:32
and
31:33
I've
31:33
actually
31:34
was
31:34
going
31:35
a
31:35
different
31:35
direction
31:35
when
31:35
I
31:36
first
31:36
started
31:36
thinking
31:36
about
31:36
this
31:37
headline.
31:37
And
31:37
then
31:37
I
31:37
was
31:37
like,
31:38
okay.
31:38
From
31:38
a
31:38
consistency
31:39
standpoint
31:39
though,
31:40
I
31:40
think
31:40
I
31:40
changed
31:41
my
31:41
mind.
31:41
And
31:41
actually
31:42
I
31:42
don't
31:42
like
31:42
this
31:43
move,
31:43
I
31:43
don't
31:44
like
31:44
this
31:44
move
31:44
to
31:44
integrate
31:45
with
31:45
Amazon
31:45
because.
31:46
And
31:47
I
31:47
would
31:47
say
31:48
the
31:48
same
31:48
thing
31:48
potentially
31:48
about
31:49
Bath
31:49
and
31:49
Body
31:49
Works
31:50
integrating
31:50
with
31:50
Walmart
31:51
because
31:52
they're
31:52
both
31:52
retailers
31:53
and
31:53
they're
31:53
formidable
31:53
ones
31:54
at
31:54
that.
31:55
I
31:55
would
31:55
be,
31:55
given
31:56
that
31:56
AI
31:56
is
31:56
on
31:57
the
31:57
scene
31:57
here,
31:57
I
31:57
would
31:57
be
31:58
biding
31:58
my
31:58
time,
31:59
investing
32:00
in
32:00
my
32:00
stores,
32:01
as
32:01
we've
32:01
talked
32:01
about
32:01
a
32:02
lot.
32:02
And
32:03
I
32:03
would
32:03
follow
32:03
the
32:03
steps
32:03
that
32:04
I
32:04
outlined
32:04
above,
32:04
like,
32:05
you
32:05
know,
32:05
ready
32:06
your
32:06
site
32:06
for
32:06
LLM
32:07
search
32:07
first,
32:08
because
32:08
you're
32:08
gonna
32:08
have
32:08
to
32:09
be
32:09
able
32:09
to
32:09
do
32:09
that
32:09
and
32:10
make
32:10
sure
32:10
it
32:10
works.
32:11
And
32:11
then
32:12
you
32:12
partner
32:12
with
32:13
the
32:13
right
32:13
LLM
32:13
search
32:14
engine,
32:14
you
32:14
know,
32:14
and
32:15
you
32:15
could
32:15
take
32:15
your
32:15
time
32:16
to
32:16
decide
32:16
what
32:16
that
32:17
is,
32:18
but
32:18
you
32:18
find
32:18
distribution
32:19
that
32:19
way,
32:20
I
32:20
think
32:20
first
32:20
and
32:20
foremost,
32:21
because
32:21
if
32:21
the
32:21
industry
32:22
as
32:22
a
32:22
whole,
32:23
if
32:23
the
32:23
industry
32:24
executives
32:25
listening
32:25
as
32:25
a
32:26
whole
32:26
take
32:26
that
32:26
approach,
32:27
the
32:27
really
32:27
interesting
32:27
thing
32:28
about
32:28
that
32:28
and
32:29
to
32:29
me
32:29
is
32:30
that
32:30
Amazon
32:31
is
32:31
going
32:31
to
32:31
lose
32:32
its
32:32
dominance.
32:33
So
32:33
if
32:33
you
32:34
start
32:34
selling
32:34
on
32:34
Amazon,
32:35
why
32:35
start
32:35
selling
32:35
on
32:36
Amazon
32:36
now?
32:37
Wait
32:37
a
32:37
few
32:37
years,
32:39
Clean
32:39
the
32:39
decks,
32:40
scrub
32:40
the
32:40
decks,
32:41
get
32:41
everything
32:41
right
32:41
and
32:42
then
32:42
decide
32:42
what
32:43
you
32:43
want
32:43
to
32:43
do
32:43
and
32:43
how
32:44
you
32:44
want
32:44
to
32:44
play
32:44
in
32:44
this
32:44
new
32:45
AI
32:45
landscape.
32:45
Because
32:46
if
32:46
you
32:46
think
32:46
about
32:46
it
32:46
the
32:46
right
32:47
way,
32:47
you
32:47
can
32:47
still
32:48
go
32:48
to
32:48
Amazon
32:48
later,
32:49
but
32:50
you
32:50
could
32:50
also
32:50
hurt
32:51
them
32:51
in
32:51
the
32:51
long
32:51
run.
32:51
And
32:51
so
32:52
I
32:52
think
32:52
that's
32:52
important
32:53
thing
32:53
to
32:53
think
32:53
about
32:53
here.
32:54
So,
32:54
you
32:55
know,
32:55
are
32:55
you
32:55
thinking
32:55
short
32:56
term
32:56
or
32:56
you
32:56
think
32:57
in
32:57
long
32:57
term?
32:57
And
32:57
I
32:57
think
32:57
in
32:58
this
32:58
case
32:58
Bath
32:59
and
32:59
Body
32:59
Works
32:59
seems
32:59
like
32:59
it's
33:00
thinking
33:00
short
33:00
term
33:00
to
33:00
me.
33:02
I,
33:03
I
33:03
think
33:03
I
33:03
am
33:03
thinking
33:04
about
33:04
this
33:04
another
33:04
way
33:05
for
33:05
the
33:05
same
33:05
reason,
33:06
and
33:06
that
33:06
is
33:07
I
33:07
think
33:07
it
33:08
gets
33:08
a
33:08
product
33:08
that
33:09
requires
33:10
a
33:11
beauty
33:11
product,
33:11
a
33:11
fragrance
33:12
product
33:12
that's
33:12
very
33:13
hard
33:13
to
33:13
buy.
33:13
It
33:14
gets
33:14
it
33:14
into
33:14
the
33:14
hands
33:15
of
33:15
consumers
33:17
without
33:17
the
33:17
concern
33:18
of
33:18
if
33:18
I
33:19
buy
33:19
this
33:19
and
33:19
I'm
33:20
paying
33:20
for
33:21
it
33:21
on
33:21
the
33:21
Bath
33:21
and
33:22
Body
33:22
Works
33:22
site
33:22
because
33:22
they
33:23
have
33:23
an
33:23
order
33:23
minimum
33:24
of
33:24
$35,
33:25
I'm
33:25
not
33:25
gonna
33:26
go
33:26
through
33:26
with
33:26
that
33:27
transaction
33:27
because
33:28
I
33:28
don't
33:28
have
33:29
any
33:29
security
33:29
blanket.
33:30
And
33:30
I
33:30
actually
33:31
think
33:31
because
33:31
of
33:32
LLM
33:32
Search,
33:33
I
33:33
think
33:33
you
33:33
have
33:34
to
33:34
be
33:34
on
33:34
as
33:34
many
33:35
platforms
33:35
as
33:36
you
33:36
can.
33:36
And
33:37
I
33:37
compare
33:37
it
33:37
almost
33:37
to
33:38
like
33:38
when
33:38
you're
33:38
going
33:38
to
33:38
watch
33:39
a
33:39
movie
33:39
on
33:39
your
33:40
streaming
33:40
tv,
33:41
right?
33:41
Like,
33:41
you
33:41
go
33:42
there,
33:42
you
33:42
type
33:43
in
33:43
the
33:43
name
33:43
of
33:43
the
33:43
movie.
33:44
You
33:44
don't,
33:44
you
33:44
just
33:45
don't
33:45
want
33:45
to
33:45
pay
33:45
for
33:45
the
33:45
movie.
33:46
So
33:46
what's
33:46
the
33:46
easiest
33:47
way
33:47
that
33:47
I
33:47
can
33:47
see
33:47
that
33:48
movie,
33:48
that
33:48
I
33:48
can
33:48
get
33:48
that
33:49
movie?
33:49
And
33:49
if
33:49
I
33:49
have
33:50
a
33:50
Walmart,
33:50
you
33:50
know,
33:51
plus
33:51
membership,
33:51
or
33:52
I
33:52
have
33:52
a
33:53
Prime
33:53
membership
33:54
and
33:54
I
33:54
can
33:54
get
33:54
that
33:54
Bath
33:55
and
33:55
Body
33:55
Works
33:55
product
33:56
delivered
33:56
to
33:56
me
33:57
for
33:57
free
33:57
and
33:57
I
33:57
can
33:58
return
33:58
it
33:58
for
33:58
free.
33:58
Like,
33:59
that
33:59
makes
33:59
me
34:00
pull
34:00
the
34:00
trigger
34:00
on
34:00
a
34:01
product
34:01
that
34:01
if
34:01
I
34:02
had
34:02
to
34:02
pay
34:02
or
34:02
pay
34:03
a
34:03
restocking
34:03
fee
34:04
when
34:04
I
34:04
sent
34:04
it
34:04
back
34:04
or
34:05
go
34:05
to
34:05
a
34:05
mall
34:06
to
34:06
return
34:06
it
34:06
to
34:06
a
34:07
Bath
34:07
and
34:07
Body
34:07
Works
34:07
store,
34:08
like
34:08
that
34:08
to
34:08
me
34:09
is
34:09
limiting
34:09
on
34:10
whether
34:10
or
34:10
not
34:10
I'm
34:10
going
34:10
to
34:11
go
34:11
through
34:12
with
34:12
that
34:12
search.
34:13
When
34:13
I'm
34:13
typing
34:13
in,
34:14
you
34:14
know,
34:14
what's
34:14
a
34:14
great
34:14
fragrance
34:15
for
34:15
Holiday
34:16
for
34:16
me,
34:16
you
34:16
know,
34:17
and
34:17
tell
34:17
me
34:17
what
34:18
all
34:18
the
34:18
products
34:18
are,
34:18
what's
34:19
the
34:19
highest
34:19
rated,
34:20
that
34:20
kind
34:20
of
34:20
thing.
34:21
You
34:21
know,
34:21
if
34:21
Bath
34:21
and
34:21
Body
34:22
Works
34:22
comes
34:22
up
34:22
and
34:22
I
34:22
get
34:23
that
34:23
listing
34:23
next
34:23
to
34:24
it
34:24
of,
34:24
here
34:24
are
34:24
all
34:24
the
34:24
places
34:25
you
34:25
can
34:25
buy.
34:25
Here
34:26
are
34:26
the,
34:26
the
34:26
deals
34:27
that
34:27
you
34:28
uniquely
34:28
qualify
34:29
for
34:30
based
34:30
on
34:30
your
34:30
loyalty
34:31
programs
34:31
in
34:31
each
34:31
one
34:32
of
34:32
these
34:32
segments.
34:33
Like
34:33
that,
34:33
to
34:34
me,
34:34
is
34:34
what's
34:34
going
34:34
to
34:34
drive
34:35
purchase.
34:36
Whereas
34:36
I
34:36
think
34:37
if
34:37
you're
34:37
just
34:37
focusing
34:38
on
34:38
your
34:38
own
34:39
site
34:39
and
34:39
your
34:39
own
34:40
traffic,
34:41
I
34:41
think
34:41
you
34:41
might
34:42
lose
34:42
some
34:42
of
34:42
those
34:43
customers.
34:43
So
34:43
that,
34:44
that's
34:44
my
34:44
perspective
34:45
on
34:45
it.
34:46
But
34:47
I
34:47
think
34:47
it's
34:48
also
34:48
a
34:48
test,
34:48
right?
34:49
Like
34:49
they're
34:49
just
34:49
trying
34:49
this
34:49
with
34:49
a
34:50
few
34:50
products.
34:51
What
34:51
does
34:51
it
34:51
hurt
34:52
you
34:52
to
34:52
just
34:52
test
34:53
and
34:53
learn
34:53
on
34:53
this?
34:53
Like,
34:54
not,
34:54
not
34:55
a
34:55
lot
34:55
of,
34:55
of
34:56
of
34:56
lift,
34:57
I
34:57
think,
34:57
from
34:57
Bath
34:57
and
34:57
Body
34:57
Works.
34:58
Yeah.
34:59
And
34:59
the
34:59
great
34:59
goods
34:59
number
34:59
is
35:00
pretty
35:00
telling
35:00
too.
35:00
And
35:00
I'm
35:01
sure
35:01
that's
35:01
happening.
35:01
No
35:01
doubt.
35:02
Yeah.
35:02
I
35:02
think
35:02
the
35:02
big
35:02
difference
35:03
here
35:03
is
35:03
I
35:03
just
35:03
think
35:04
the,
35:04
the
35:05
adopt,
35:05
you
35:05
know,
35:06
the
35:06
big
35:06
question
35:06
is
35:07
how
35:07
quick
35:07
is
35:07
the
35:08
adoption
35:08
curve?
35:08
Really?
35:09
Like,
35:09
it's
35:09
fun
35:09
to
35:10
talk
35:10
about,
35:11
but
35:11
how
35:11
quick
35:12
is
35:12
the
35:12
adoption
35:12
curve
35:13
and
35:13
how
35:13
much,
35:13
how
35:14
many
35:14
product
35:14
sales
35:14
are
35:15
actually
35:15
going
35:15
to
35:15
go
35:15
through?
35:15
The
35:15
lambs
35:16
is
35:16
the
35:17
big
35:17
crux
35:17
of
35:17
this
35:18
argument
35:18
here,
35:18
I
35:18
think.
35:18
You
35:19
know,
35:19
I
35:19
think
35:19
that's
35:19
where
35:19
you
35:19
and
35:20
I
35:20
are
35:20
probably
35:20
differing
35:21
here
35:21
is
35:21
Like,
35:21
I
35:21
just
35:21
think
35:22
you've
35:22
got
35:22
time
35:22
to
35:22
think
35:23
this
35:23
out
35:23
and
35:23
be
35:24
a
35:24
little
35:24
more
35:24
thoughtful
35:24
and
35:25
strategic
35:25
before
35:25
you
35:26
start
35:26
making
35:26
some
35:26
of
35:26
these
35:27
moves.
35:27
Yeah,
35:28
I
35:28
mean,
35:28
I
35:28
think,
35:28
I
35:29
think
35:29
you
35:29
can
35:29
do
35:29
both.
35:29
I
35:29
think
35:30
you
35:30
have
35:30
to
35:30
parallel
35:30
path
35:31
this.
35:31
I
35:31
think
35:31
you
35:31
have
35:31
to
35:32
be
35:32
thinking
35:32
about
35:32
it
35:32
on
35:32
your
35:33
own,
35:33
like
35:33
one
35:34
serves
35:34
the
35:34
other.
35:35
So
35:35
if
35:35
you're
35:35
thinking
35:35
about
35:36
how
35:36
your
35:36
products
35:36
are
35:37
showing
35:37
up
35:37
on
35:37
your
35:37
own
35:38
site,
35:38
you,
35:38
you
35:38
can
35:39
simultaneously
35:39
be
35:40
thinking
35:40
about,
35:40
you
35:41
know,
35:41
it's
35:41
just
35:41
like
35:41
when,
35:42
again
35:42
when
35:42
E
35:42
Commerce
35:43
came
35:43
online,
35:43
like
35:44
we
35:44
had
35:44
to
35:44
think
35:44
about
35:44
all
35:45
of
35:45
the
35:45
customer
35:46
journeys
35:46
to
35:46
get
35:46
to
35:47
that
35:47
product
35:47
to
35:47
get
35:48
to
35:48
your
35:48
store,
35:49
whether
35:49
it
35:49
was
35:49
online,
35:50
offline,
35:50
curbside
35:51
pickup
35:51
delivery,
35:52
all
35:52
of
35:52
these
35:52
things.
35:52
Like
35:53
we're
35:53
in
35:53
an
35:53
entirely
35:54
new
35:54
phase
35:54
of
35:54
that.
35:55
And
35:55
so
35:55
I
35:55
think
35:55
that
35:56
that
35:56
is,
35:56
to
35:57
your
35:57
point,
35:57
dependent
35:57
on
35:58
each
35:58
retailer
35:58
and
35:58
what
35:59
their
35:59
customer
35:59
strategy
36:00
is
36:00
going
36:00
to
36:00
be.
36:00
But
36:01
I
36:01
do
36:01
think
36:01
that
36:01
it's
36:02
possible
36:02
to
36:02
be
36:02
doing
36:03
this
36:03
at
36:03
the
36:03
same
36:03
time
36:04
and
36:04
actually
36:05
very
36:05
necessary
36:06
if
36:06
you're
36:06
a
36:06
retailer
36:07
that
36:07
wants
36:07
to
36:08
stay
36:08
relevant
36:09
in
36:09
the
36:09
next
36:10
era
36:10
of,
36:10
of
36:11
shopping
36:11
in
36:12
this
36:12
LLM
36:13
based
36:13
search
36:13
way.
36:14
Yeah.
36:15
And
36:15
the
36:15
way
36:15
I
36:15
think
36:15
about
36:15
it,
36:16
for
36:16
me,
36:16
the
36:16
way,
36:16
sorry,
36:17
and
36:17
the
36:17
way
36:17
I
36:17
think
36:17
about
36:17
that
36:17
from
36:18
executive
36:18
perspective
36:19
is
36:19
like
36:19
in
36:19
the
36:19
Monday
36:19
morning
36:20
meeting
36:20
I'd
36:20
be
36:20
looking
36:20
at
36:20
like,
36:21
where
36:21
are
36:21
my
36:21
traffic
36:21
sources
36:22
now?
36:22
Like,
36:23
am
36:23
I
36:23
seeing
36:23
the
36:23
tick
36:24
up
36:24
in
36:24
ChatGPT
36:25
traffic
36:25
that
36:25
I
36:26
think
36:26
I
36:26
should
36:26
be
36:26
seeing
36:27
or
36:27
not?
36:27
And
36:27
that's
36:27
how
36:27
I'd
36:28
be
36:28
using
36:28
that
36:28
to
36:28
gut,
36:28
to
36:29
gauge,
36:29
you
36:29
know,
36:30
at
36:30
what
36:30
pace
36:30
am
36:31
I
36:31
trying
36:31
to
36:31
do
36:32
this,
36:32
you
36:32
know,
36:33
versus
36:33
like,
36:33
you
36:34
know,
36:34
is
36:34
the
36:34
majority
36:34
of
36:35
my
36:35
sales
36:35
still
36:35
come
36:35
like
36:36
you
36:36
had?
36:36
We
36:36
had
36:36
was
36:37
it
36:37
constructor
36:37
on?
36:38
Right.
36:39
The,
36:39
the
36:40
conversion
36:40
gains
36:41
that
36:41
they're
36:41
seeing
36:41
from
36:42
just
36:42
improving
36:42
your
36:43
own
36:43
site
36:43
traffic
36:44
flow
36:44
through
36:44
LLMs
36:45
is
36:46
pretty
36:46
staggering.
36:47
And,
36:47
and
36:48
from
36:48
their
36:48
standpoint,
36:49
far
36:49
more
36:50
worth
36:50
the
36:50
investment
36:51
than
36:51
trying
36:51
to
36:52
plug
36:52
in
36:53
to
36:53
ChatGPTs
36:54
as
36:54
an
36:54
example.
36:55
So
36:55
that's
36:55
where
36:55
I'm
36:55
like,
36:55
okay,
36:56
I'd
36:56
be
36:56
watching
36:56
those,
36:57
you
36:57
know,
36:57
in
36:57
my
36:58
morning
36:58
meeting
36:58
and
36:58
then
36:58
saying,
36:59
okay,
36:59
like
36:59
let's,
37:00
let's
37:00
decide
37:00
here
37:01
where
37:01
we're
37:01
pushing
37:01
our
37:01
bets
37:02
because
37:02
we
37:02
can't
37:02
do
37:02
everything.
37:03
As
37:03
retail
37:04
executives,
37:04
we
37:04
have
37:04
to
37:05
make
37:05
decisions
37:05
on
37:05
where
37:06
to
37:06
place
37:06
our
37:06
resources.
37:07
Right?
37:08
Yeah.
37:08
And
37:08
I
37:08
just
37:08
don't
37:08
know
37:09
that
37:09
that's
37:09
mutually
37:10
exclusive.
37:10
I
37:11
think
37:11
that
37:11
yes,
37:11
you
37:11
have
37:12
to
37:12
be
37:12
focused
37:12
on
37:13
the
37:14
bringing
37:14
in
37:14
the
37:14
right
37:14
partners,
37:15
like
37:15
a
37:15
constructor
37:16
to
37:16
help
37:17
supplement
37:17
what
37:18
that
37:18
experience
37:18
is
37:18
going
37:19
to
37:19
be
37:19
on
37:19
your
37:19
own
37:20
site.
37:20
But
37:20
I
37:20
also
37:21
think
37:21
that
37:21
that
37:21
work
37:21
is
37:22
going
37:22
to
37:22
feed
37:22
the
37:22
other
37:23
work
37:23
that
37:23
you're
37:23
doing.
37:23
To
37:24
serve
37:24
your
37:24
content
37:25
up
37:25
correctly
37:25
to
37:26
the
37:26
other
37:26
LLMs,
37:27
knowing
37:27
what
37:27
you
37:27
know
37:27
about
37:28
consumers
37:28
and
37:28
how
37:28
they'
37:29
shopping
37:29
on
37:29
your
37:29
site
37:30
too.
37:31
All
37:31
right,
37:31
let's
37:31
go
37:32
to
37:32
the
37:32
lightning
37:33
round,
37:33
Chris.
37:34
Let's
37:35
rank
37:35
the
37:35
following
37:36
shelf
37:36
stable
37:37
Thanksgiving
37:37
products,
37:38
from
37:38
best
37:39
to
37:39
worst.
37:40
Jarred
37:40
gravy,
37:41
tinned
37:42
cranberries,
37:42
or
37:43
instant
37:43
mashed
37:44
potatoes.
37:45
Oh,
37:46
this
37:46
one.
37:46
This
37:46
one's
37:47
super
37:47
easy.
37:47
I
37:47
mean,
37:47
I
37:48
think
37:48
it's
37:48
a
37:48
battle
37:48
for
37:48
first
37:49
place
37:49
on
37:49
this
37:49
one.
37:49
And
37:50
it's
37:50
cranberries
37:50
and
37:50
gravy
37:51
are
37:51
neck
37:51
and
37:51
neck
37:52
in
37:52
my
37:52
mind.
37:53
And
37:53
the
37:54
canned
37:54
gravy.
37:55
The
37:55
canned
37:55
stuff,
37:56
the
37:56
jarred
37:56
gravy.
37:57
Oh,
37:57
gravy.
37:58
Gravy's
37:58
just
37:58
good.
37:58
Gravy's
37:59
just
37:59
good.
37:59
And,
38:00
and,
38:00
but,
38:01
but
38:01
way
38:01
down
38:02
the
38:02
bottom
38:02
is
38:02
instant
38:03
mashed
38:03
potatoes.
38:03
Instant
38:03
mashed
38:04
potatoes
38:04
are
38:04
disgusting.
38:05
They
38:05
never
38:06
deserve
38:06
to
38:06
be
38:06
on
38:07
the
38:07
table
38:07
at
38:07
all.
38:08
Ella,
38:08
shake
38:08
it.
38:09
Ella,
38:09
come
38:09
on
38:09
in
38:09
here.
38:10
What
38:10
do
38:10
you
38:10
think
38:10
on
38:10
this
38:11
one?
38:11
I
38:11
want
38:11
to
38:11
know.
38:11
You're
38:12
shaking
38:12
your
38:12
head
38:12
here.
38:13
I
38:13
want
38:13
to
38:13
know
38:13
what
38:13
you
38:13
think.
38:14
What.
38:14
What
38:14
are
38:14
your
38:14
rankings
38:15
here,
38:15
Ella?
38:15
Producer.
38:16
Ella.
38:16
No,
38:16
I'm
38:17
with
38:17
Ann.
38:17
Gravy
38:18
is
38:18
never
38:18
on
38:18
my
38:18
list.
38:19
Cranberries
38:19
also,
38:20
Chris.
38:20
I
38:21
don't.
38:21
I
38:21
don't
38:21
know.
38:22
Not
38:22
on
38:22
my
38:22
list.
38:23
Loves
38:24
cranberries.
38:24
Oh,
38:24
my
38:25
God.
38:25
All
38:25
right,
38:25
you
38:26
two.
38:26
All
38:26
right.
38:26
Well,
38:26
them's
38:27
fighting
38:27
words.
38:27
All
38:27
right.
38:28
Our
38:28
friends
38:28
at
38:28
Planalytics
38:29
say
38:29
that
38:29
winter
38:30
storms
38:30
could
38:30
also
38:31
be
38:31
heading
38:31
our
38:31
way
38:31
this
38:31
week,
38:32
disrupting
38:32
Black
38:33
Friday
38:33
shopping.
38:33
What
38:34
stores,
38:34
if
38:34
any,
38:35
are
38:35
you
38:35
planning
38:36
to
38:36
hit
38:36
up
38:36
this
38:36
week,
38:36
Anne?
38:37
Well,
38:38
I
38:38
am
38:38
really
38:39
excited
38:39
for
38:40
the
38:40
noise
38:40
off
38:40
Bazaar
38:41
Pop
38:41
up,
38:42
which
38:42
is
38:43
a
38:44
critically
38:44
acclaimed
38:45
New
38:45
York
38:46
Times
38:46
fashion
38:48
resale
38:48
site
38:48
that's
38:49
based
38:49
in
38:49
Minnesota.
38:50
They're
38:50
doing
38:50
a
38:50
pop
38:50
up
38:51
here
38:51
in
38:51
Minneapolis
38:51
on
38:52
Saturday
38:52
for
38:52
Shop
38:53
local
38:53
Saturday
38:53
or
38:54
shop
38:54
small
38:54
Saturday.
38:55
So
38:55
I'm
38:55
excited
38:55
about
38:55
that.
38:56
I'm
38:56
going
38:56
to
38:57
hit
38:57
my
38:57
local
38:57
luxury
38:58
consignment
38:58
retailers
38:59
at
38:59
our
38:59
neighborhood
39:00
little
39:00
shopping
39:01
district,
39:02
going
39:02
to
39:03
the
39:03
Egan
39:03
outlet
39:03
centers
39:04
down
39:04
here
39:05
in
39:06
Southern,
39:06
the
39:07
southern
39:07
part
39:07
of
39:07
the
39:07
Twin
39:07
Cities
39:08
and
39:08
probably
39:08
more.
39:09
I
39:09
can't
39:09
wait.
39:09
I
39:09
love.
39:10
I
39:10
love
39:10
Black
39:10
Friday
39:11
shopping.
39:11
What
39:12
about
39:12
you?
39:12
Are
39:12
you
39:12
gonna
39:13
go?
39:13
You're
39:13
gonna
39:13
do
39:13
anything?
39:14
Yeah,
39:14
I.
39:15
For
39:15
sure.
39:15
Yeah.
39:15
I
39:15
always
39:15
hit
39:16
a
39:16
banana,
39:16
actually.
39:16
That's
39:17
why
39:17
I
39:17
made
39:17
that
39:17
a
39:17
joke
39:17
about
39:18
banana
39:18
before.
39:18
Like,
39:19
banana's
39:19
my
39:19
place
39:19
to
39:20
go.
39:20
Like,
39:20
I'm
39:20
always
39:20
a
39:21
big
39:21
fan
39:21
of
39:21
banana
39:21
on
39:22
Black
39:22
Friday.
39:22
So
39:22
I'm
39:22
gonna
39:22
try
39:23
to
39:23
head
39:23
over
39:23
to
39:23
South
39:23
Del
39:23
Mar
39:24
and
39:24
they
39:24
got
39:25
a
39:25
lot
39:25
of
39:25
deals
39:26
and
39:26
see
39:26
what
39:26
else
39:27
is
39:27
going
39:27
on
39:27
over
39:27
there,
39:28
too.
39:28
Like
39:28
a
39:28
lot
39:28
of
39:28
new
39:28
shops
39:29
over
39:29
at
39:29
South
39:29
Del
39:30
Mall.
39:30
The
39:30
first
39:30
Indoor
39:31
shopping
39:31
mall
39:31
in
39:31
the
39:31
history
39:31
of
39:32
America
39:32
right
39:32
down
39:32
the
39:33
street
39:33
from
39:33
us.
39:33
So,
39:33
yeah,
39:33
I'm
39:33
gonna
39:33
go
39:34
check
39:34
it
39:34
out
39:34
on
39:34
Friday.
39:34
What
39:35
describes
39:35
your
39:36
Thanksgiving
39:36
Day
39:37
mood,
39:37
Chris?
39:37
Turkey
39:38
trot,
39:38
morning
39:38
5k
39:39
or
39:39
sofa
39:40
surfing?
39:41
Which
39:41
one
39:41
sounds
39:42
more
39:42
appealing
39:42
to
39:43
you?
39:43
Oh,
39:44
ideally
39:44
both.
39:45
I
39:45
love
39:45
to,
39:45
I'd
39:45
love
39:46
to
39:46
turkey
39:46
trot
39:46
and
39:46
sofa
39:47
serve.
39:47
Turkey
39:48
trot
39:48
in
39:48
the
39:48
morning,
39:49
sofa
39:49
surf
39:49
in
39:49
the
39:49
afternoon.
39:50
But,
39:50
but
39:51
man,
39:51
and
39:51
I,
39:52
I
39:52
haven't
39:52
told
39:53
you
39:53
guys
39:53
this,
39:53
but
39:53
like,
39:54
I
39:54
think
39:54
I've
39:54
got
39:55
sciatica
39:55
now.
39:56
Like,
39:56
I
39:56
can't
39:56
even
39:57
run.
39:57
I
39:57
can't
39:57
walk.
39:57
I
39:58
gotta
39:58
go
39:58
to
39:58
physical
39:59
therapy
39:59
today
39:59
just
40:00
to
40:00
get
40:00
like
40:00
out
40:00
of
40:01
bed
40:01
now.
40:01
So
40:01
like,
40:02
so
40:03
sofa
40:03
surfing
40:03
is
40:04
going
40:04
to
40:04
be
40:04
like
40:04
medically
40:05
mandated,
40:05
I
40:05
think,
40:05
for
40:06
me.
40:06
But.
40:06
All
40:06
right,
40:07
anyway,
40:08
last
40:08
one.
40:08
As
40:08
our
40:08
resident
40:09
fashion
40:09
expert,
40:10
this
40:11
one's
40:11
kind
40:11
of
40:11
off
40:11
the
40:12
beaten
40:12
path
40:12
from
40:12
Thanksgiving.
40:13
Although
40:13
I
40:14
give
40:14
thanks
40:14
that
40:14
it's
40:14
actually
40:15
a
40:15
story.
40:15
Bianca
40:16
Sensori
40:17
is
40:17
reportedly
40:17
launching
40:18
a
40:18
new
40:18
fashion
40:18
brand
40:19
with
40:19
Kanye's
40:20
money.
40:21
On
40:21
how
40:22
high
40:22
does
40:23
this
40:23
story
40:23
rank
40:24
on
40:24
the
40:24
irony
40:24
scale
40:25
for
40:25
you
40:25
and
40:26
what
40:26
are
40:26
your
40:26
expectations
40:27
of
40:27
this
40:27
new
40:28
line?
40:28
I
40:28
don't
40:29
find
40:29
it
40:29
ironic
40:29
at
40:30
all.
40:30
I
40:30
think
40:30
it's
40:30
just
40:31
that
40:31
I'm
40:32
not
40:32
surprised.
40:32
Like,
40:33
again,
40:34
yes,
40:34
he's
40:34
funding
40:35
someone
40:35
who
40:36
has
40:36
a
40:36
very
40:36
high
40:37
presence,
40:38
is
40:38
already
40:39
has
40:39
significant
40:40
virality
40:40
based
40:41
on
40:41
the
40:41
outfits
40:42
that
40:42
she's
40:42
worn
40:42
publicly
40:43
for
40:43
the
40:43
last
40:43
several
40:44
years.
40:44
So
40:44
I'm
40:45
actually
40:45
intrigued.
40:46
I
40:46
think
40:46
other
40:46
people
40:46
will
40:47
be
40:47
too.
40:47
I
40:47
think
40:48
it's
40:48
going
40:48
to
40:48
be
40:49
boundary
40:49
pushing.
40:50
It
40:50
will
40:50
be
40:51
daring
40:51
and
40:52
it's
40:52
art
40:52
and
40:53
I
40:53
think
40:53
that's
40:53
the
40:53
fun
40:53
part
40:54
of
40:54
it.
40:54
So
40:54
I'm,
40:54
I'm
40:55
all
40:55
here
40:55
for
40:56
this
40:56
next
40:56
chapter
40:57
in
40:57
the
40:57
Hollywood
40:58
story
40:58
of
40:59
Bianca
40:59
and
41:00
Kanye.
41:00
And
41:00
I
41:01
think,
41:01
think
41:01
a
41:01
lot
41:01
of
41:01
people
41:01
will
41:02
be
41:02
looking
41:02
forward
41:02
to
41:02
seeing
41:03
what
41:04
this
41:04
collection
41:04
actually
41:05
looks
41:06
like.
41:06
Now
41:06
how
41:07
many
41:07
people
41:07
are
41:07
going
41:07
to
41:07
be
41:08
wearing
41:08
this?
41:09
That
41:09
might
41:09
be
41:09
another
41:10
question.
41:10
But,
41:11
but
41:11
I'm
41:11
excited
41:11
to
41:12
see
41:12
what
41:12
she
41:12
pulls
41:12
together.
41:13
So
41:13
you
41:13
don't
41:13
see
41:13
any
41:14
irony
41:14
at
41:14
all
41:14
in
41:15
a
41:15
woman
41:15
who
41:15
made
41:16
her
41:16
claims
41:16
by
41:16
not
41:17
wearing
41:17
clothing,
41:17
having
41:18
a
41:18
clothing
41:18
line?
41:19
I
41:19
think
41:19
that's,
41:19
I
41:19
mean,
41:20
she
41:20
is
41:20
still
41:21
wearing
41:21
clothing.
41:22
I
41:23
mean,
41:23
it's,
41:23
yeah,
41:24
it's,
41:24
it's.
41:25
I
41:25
mean
41:25
the
41:25
sheer
41:26
trend
41:26
is
41:26
very
41:27
popular
41:27
in
41:27
fashion
41:28
right
41:28
now.
41:28
It's
41:28
not
41:29
just
41:29
her.
41:29
So
41:29
I
41:29
think
41:30
that
41:30
that's,
41:30
that's,
41:31
that
41:31
it
41:31
makes
41:32
sense
41:32
to
41:32
me.
41:34
But
41:34
yeah,
41:34
she's,
41:35
I
41:35
mean,
41:36
why
41:36
not?
41:36
You
41:37
already
41:37
got
41:37
your
41:37
bill,
41:37
you
41:38
already
41:38
have
41:38
your
41:38
built
41:39
in
41:39
followers
41:39
who
41:40
are
41:40
going
41:40
to
41:40
pay
41:40
attention
41:40
to
41:41
it.
41:41
So
41:41
I
41:42
don't
41:42
know,
41:42
it
41:42
wouldn't
41:43
be
41:43
the
41:43
craziest
41:43
thing
41:44
that
41:44
Kanye's
41:45
ever
41:45
done,
41:45
that's
41:45
for
41:45
sure.
41:46
Definitely.
41:47
Definitely
41:47
not.
41:47
Definitely
41:48
not
41:48
on.
41:48
On
41:48
that
41:49
scale.
41:49
It's
41:49
very
41:49
low.
41:50
On
41:50
the
41:50
crazy
41:50
scale,
41:51
yes.
41:51
100.
41:52
Yeah,
41:52
but
41:52
kind
41:53
of
41:53
does.
41:53
I
41:53
mean,
41:53
Kanye
41:53
has
41:54
had
41:54
an
41:54
eye
41:54
for
41:54
fashion
41:54
in
41:54
the
41:55
past.
41:55
All
41:55
right,
41:55
well,
41:56
of
41:56
course,
41:56
today's
41:56
podcast
41:57
was
41:57
produced
41:57
with
41:57
the
41:57
help
41:57
of
41:58
Ella
41:58
Siri.
41:58
Ella,
41:59
come
41:59
on
41:59
in
41:59
here
41:59
again.
42:00
It
42:00
was
42:00
great
42:00
to
42:00
have
42:01
you
42:01
with
42:01
your
42:01
Thanksgiving
42:02
rankings
42:03
there,
42:03
your.
42:04
Your
42:04
shared
42:05
hatred
42:05
of
42:05
gravy.
42:06
But
42:06
I'm
42:06
curious,
42:06
who
42:07
won
42:07
this
42:07
week's
42:07
headlines
42:08
for
42:08
you?
42:08
Well,
42:09
I
42:09
loved
42:10
the
42:10
Gap
42:10
milkshake
42:11
campaign.
42:11
I
42:11
mean,
42:11
this
42:12
is
42:12
dead.
42:12
It's
42:13
all
42:13
over
42:13
my
42:13
algorithm
42:14
still.
42:14
And
42:14
this
42:14
came
42:15
out,
42:15
what,
42:15
back
42:15
in
42:15
August?
42:16
Yeah.
42:16
Yeah.
42:17
My
42:17
question
42:17
for
42:17
you
42:18
is,
42:18
though,
42:18
has
42:19
that
42:19
brought
42:20
you
42:20
to
42:21
purchase
42:22
or
42:22
explore?
42:23
Like,
42:24
you
42:24
saw
42:24
that
42:24
commercial,
42:25
then
42:25
what.
42:25
What
42:25
does
42:26
the
42:26
Gap
42:26
mean
42:26
to
42:26
you
42:26
now?
42:27
What
42:27
are
42:27
you
42:27
interested
42:28
in?
42:28
I
42:28
mean,
42:28
this
42:28
ad
42:29
was
42:29
everywhere.
42:30
Specifically
42:30
the
42:31
dance.
42:31
Like,
42:31
my
42:31
friends
42:31
were
42:31
doing
42:32
the
42:32
dance.
42:32
I
42:32
was
42:32
doing
42:33
the
42:33
dance.
42:33
Unfortunately,
42:34
my
42:34
favorite
42:35
pros
42:35
and
42:35
Dancing
42:35
with
42:36
the
42:36
Stars
42:36
were
42:36
doing
42:36
this
42:37
dance.
42:37
So
42:37
the
42:38
virality
42:38
definitely
42:39
made
42:39
me
42:39
go
42:39
check
42:40
out
42:40
the
42:40
brand.
42:41
But
42:42
would
42:42
I
42:42
say
42:42
that
42:43
it
42:43
made
42:43
me
42:43
buy
42:43
the
42:43
jeans?
42:44
No.
42:44
What
42:44
about
42:45
the
42:45
Apple
42:45
and
42:46
Gwyneth
42:46
Paltrow,
42:47
like,
42:47
stuff
42:48
did
42:48
that?
42:48
Like,
42:48
and
42:49
now
42:49
they
42:49
have
42:49
this
42:49
new,
42:50
like,
42:50
the
42:50
choir
42:51
spot.
42:51
Like,
42:51
are
42:51
you
42:52
getting
42:52
more
42:52
and
42:52
more
42:52
intrigued
42:53
by
42:53
the
42:53
more
42:54
content
42:54
that
42:54
they're
42:54
pulling
42:55
out?
42:55
Are
42:55
you
42:55
still,
42:56
like,
42:56
meh.
42:56
As
42:56
a
42:57
producer,
42:57
I'm
42:57
very
42:58
intrigued
42:58
by
42:58
the
42:58
content.
42:59
Like,
42:59
I
42:59
love
42:59
video
42:59
production.
43:00
I
43:00
am
43:00
obsessed
43:01
with
43:01
what
43:01
they're
43:01
doing
43:01
with
43:02
all
43:02
this,
43:02
like,
43:03
talent
43:03
spotting.
43:04
Sienna
43:04
Spyro,
43:05
she
43:05
came
43:05
up
43:05
on
43:05
my
43:06
for
43:06
you
43:06
page
43:06
on
43:06
TikTok
43:07
like,
43:07
two
43:07
weeks
43:07
ago,
43:08
and
43:08
this
43:08
ad
43:09
came
43:09
out
43:09
two
43:09
weeks
43:09
ago.
43:09
So,
43:10
like,
43:10
they're
43:10
ahead
43:10
of
43:10
everything,
43:11
at
43:11
least
43:11
in
43:11
my
43:11
eyes.
43:13
So
43:13
it's
43:13
definitely
43:14
making
43:14
us
43:15
talk
43:15
about
43:15
it
43:15
as
43:16
Gen
43:16
Z.
43:17
But
43:17
I
43:17
think
43:17
there
43:18
has
43:18
to
43:18
be
43:18
something
43:18
there
43:19
to
43:19
get
43:19
me
43:19
in
43:19
the
43:19
store
43:20
too,
43:20
because
43:21
shopping
43:21
online,
43:22
seeing
43:22
the
43:22
ads,
43:23
it'll
43:23
get
43:23
me
43:23
there.
43:24
But
43:24
what's
43:24
going
43:25
to
43:25
be
43:25
that
43:25
factor
43:25
of
43:25
getting
43:26
me
43:26
to
43:26
buy
43:26
these
43:26
jeans?
43:27
I
43:27
have
43:27
one
43:27
sweatshirt
43:28
in
43:28
my
43:28
closet.
43:28
From
43:29
Gap,
43:29
and
43:30
has
43:30
it
43:30
gotten
43:30
your
43:30
Gen
43:31
X,
43:31
you
43:31
know,
43:32
self
43:32
into
43:32
any
43:32
new
43:33
Gap
43:33
clothing
43:33
of
43:33
late?
43:35
I'm
43:35
not
43:35
a
43:35
Gen
43:35
Xer.
43:36
I'm
43:36
a
43:36
millennial,
43:38
but
43:38
I
43:38
am.
43:40
I'm
43:40
not
43:40
a
43:40
Gen
43:41
Xer,
43:41
but
43:41
I
43:42
am
43:42
getting.
43:42
But
43:43
I.
43:43
But
43:43
I
43:43
would
43:43
say,
43:44
like
43:44
I
43:44
said
43:44
in
43:44
the
43:44
last
43:45
headline,
43:45
I
43:45
mean,
43:45
my
43:46
friends
43:46
and
43:46
I
43:46
are
43:46
talking
43:47
about
43:47
it.
43:47
We're
43:48
passing
43:48
it
43:48
back
43:48
and
43:49
forth,
43:49
you
43:49
know,
43:50
and
43:50
we're
43:50
sending
43:51
these
43:51
and
43:51
like,
43:51
oh,
43:51
this
43:52
is
43:52
Amazing.
43:53
I
43:53
think
43:53
for
43:53
us
43:54
the
43:54
biggest
43:54
challenge
43:55
is
43:55
there's
43:55
not
43:56
the,
43:56
the
43:56
store
43:56
locations
43:57
have
43:57
diminished
43:58
so
43:58
significantly
43:59
that
43:59
it's
43:59
just
43:59
not
43:59
something
44:00
that's
44:00
convenient.
44:01
I
44:01
have
44:01
to
44:02
make
44:02
another
44:02
trip
44:02
to
44:03
do
44:03
it.
44:03
But
44:04
I
44:04
will
44:04
say,
44:05
like
44:05
the
44:05
Zac
44:05
Posen
44:06
influence
44:06
on
44:06
some
44:06
of
44:07
the
44:07
designs
44:07
do
44:08
have
44:08
me
44:08
spending
44:09
more
44:09
time
44:09
on
44:09
the
44:10
Gap
44:10
website
44:10
because
44:11
I'm
44:11
curious.
44:12
Like
44:12
I,
44:12
I
44:12
like
44:13
this
44:13
elevated
44:14
look
44:14
for
44:14
them.
44:14
I've
44:15
always
44:15
thought
44:15
that
44:15
they
44:16
should
44:16
be
44:16
going
44:16
for
44:17
almost
44:17
this
44:18
more
44:19
not
44:19
quite
44:19
banana
44:19
in
44:20
suiting,
44:20
but
44:20
a
44:21
more
44:21
elevated
44:21
basics
44:22
look
44:23
so
44:23
that
44:23
they
44:23
can
44:24
compete
44:24
again
44:24
with
44:25
the
44:25
Uniqlos
44:26
and
44:26
others
44:26
in
44:26
the
44:26
world
44:27
that
44:27
are
44:27
doing
44:27
that
44:27
so
44:27
well
44:28
right
44:28
now.
44:28
Gap
44:29
owns
44:29
that
44:29
space.
44:29
They
44:30
should
44:30
be.
44:30
Or
44:31
they
44:31
did
44:31
it
44:31
one
44:31
time,
44:31
they
44:32
should
44:32
be
44:32
doing
44:32
it
44:32
again.
44:33
So
44:33
I'm
44:33
hopeful.
44:34
I'm
44:34
hopeful.
44:35
Yeah.
44:35
So,
44:36
yeah,
44:36
I
44:36
think,
44:36
yeah,
44:36
so
44:36
am
44:37
I.
44:37
I
44:37
mean,
44:37
cut
44:37
my
44:37
teeth
44:37
there.
44:38
Yeah.
44:38
I
44:39
thought
44:39
you
44:39
all,
44:39
I
44:39
thought
44:39
you
44:40
always
44:40
voted
44:40
with
44:40
the,
44:41
with
44:41
the
44:41
Gen
44:42
Xers
44:42
though,
44:42
because
44:43
you're
44:43
right
44:43
on
44:43
the
44:43
cusp.
44:43
I
44:44
thought
44:44
you
44:44
were
44:44
always
44:44
a
44:44
Gen
44:44
X
44:45
voter,
44:45
relatively
44:46
speaking.
44:47
I
44:47
think
44:47
it
44:47
depends.
44:48
Zillennial.
44:49
Maybe
44:49
that's
44:49
what
44:49
I
44:49
should
44:50
Zillennial.
44:51
But
44:51
I
44:52
would
44:52
say,
44:53
yeah,
44:53
I
44:53
wasn't
44:54
like,
44:54
I
44:55
was
44:55
not
44:55
a
44:55
die
44:55
hard
44:56
Gapper
44:56
back.
44:56
I
44:57
mean,
44:58
as
44:58
much
44:58
as
44:59
I
44:59
think
44:59
the
44:59
Gen
44:59
Xers
45:00
were.
45:00
So
45:00
I
45:01
think
45:01
I'm
45:01
more
45:01
of
45:01
a
45:01
middle
45:02
of
45:02
the
45:02
road.
45:02
Discovered
45:03
it
45:03
when
45:03
I
45:03
was
45:04
younger
45:05
and
45:06
yeah,
45:06
it
45:06
wasn't
45:06
as
45:07
formidable
45:07
for
45:07
me
45:07
as
45:08
I
45:08
think
45:08
it
45:08
was
45:08
for
45:09
most
45:09
Gen
45:09
Xers.
45:10
You
45:11
weren't
45:11
swinging
45:11
with
45:11
the
45:11
khakis,
45:12
I
45:12
guess.
45:12
All
45:12
right.
45:13
All
45:13
right.
45:13
On
45:13
that
45:13
note,
45:14
happy
45:14
birthday
45:15
to
45:15
Rita
45:15
Ora
45:16
Jessica
45:16
Camacho.
45:17
And
45:17
to
45:17
one
45:17
of
45:18
my
45:18
personal
45:18
faves,
45:19
Mike
45:19
Dexter
45:20
from
45:20
Can't
45:20
Hardly
45:20
Wait,
45:21
the
45:21
great
45:21
Peter
45:22
Facinelli.
45:23
And
45:23
remember,
45:23
if
45:23
you
45:23
can
45:24
only
45:24
read
45:24
or
45:24
listen
45:24
to
45:24
one
45:24
retail
45:25
blog
45:25
in
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the
45:25
business,
45:25
Make
45:26
It
45:26
Omnitalk,
45:26
the
45:27
only
45:27
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45:27
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45:27
outlet
45:28
run
45:28
by
45:28
two
45:28
former
45:29
executives
45:29
from
45:29
a
45:30
current
45:30
top
45:30
10
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US
45:31
retailer.
45:31
Our
45:31
Fast
45:32
Five
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is
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45:34
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45:34
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45:35
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45:35
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45:35
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45:36
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Retail
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45:37
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you
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to
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know
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each
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to
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stay
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on
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top
45:39
the
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of
45:39
of
45:39
your
45:39
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45:40
as
45:40
a
45:40
retail
45:40
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45:40
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45:44
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45:44
that
45:45
Ann
45:45
and
45:45
I
45:45
take
45:45
a
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pride
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doing
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for
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you.
45:47
Thanks
45:47
as
45:47
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45:48
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45:56
omnitalkretail
45:57
so
45:57
until
45:57
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45:58
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45:58
On
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45:58
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45:59
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45:59
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45:59
us
45:59
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45:59
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46:00
Omnitalk,
46:00
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46:01
always,
46:01
be
46:01
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46:02
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46:02
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