Latest / Omni Talk Retail / Target SoHo, Amazon Rush & The Instacart Dynamic Pricing Brouhaha | Fast Five

Transcript

Target SoHo, Amazon Rush & The Instacart Dynamic Pricing Brouhaha | 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
1:41
are
1:42
listening
1:42
to
1:42
Omnitalk's
1:43
Retail
1:43
Fast
1:44
Five,
1:44
ranked
1:44
in
1:44
the
1:44
top
1:45
10%
1:45
of
1:45
all
1:45
podcasts
1:46
globally
1:46
and
1:47
currently
1:47
the
1:47
only
1:47
retail
1:48
podcast
1:48
ranked
1:48
in
1:49
the
1:49
top
1:49
100
1:49
of
1:49
all
1:50
business
1:50
podcasts
1:50
on
1:51
Apple
1:51
Podcasts.
1:52
The
1:52
Retail
1:52
Fast
1:53
five
1:53
is
1:53
the
1:53
podcast
1:53
that
1:54
we
1:54
hope
1:54
makes
1:54
you
1:54
feel
1:54
a
1:55
little
1:55
smarter,
1:55
but
1:56
most
1:56
importantly,
1:56
a
1:57
little
1:57
happier
1:57
each
1:57
week
1:58
too.
1:58
And
1:58
the
1:59
Fast
1:59
5
1:59
is
1:59
just
2:00
one
2:00
of
2:00
the
2:00
many
2:00
great
2:00
podcasts
2:01
you
2:01
can
2:01
find
2:01
from
2:01
the
2:01
Omni
2:02
Talk
2:02
Retail
2:02
Podcast
2:03
Network
2:03
alongside
2:04
our
2:04
Retail
2:04
Daily
2:04
minute
2:05
which
2:05
brings
2:05
you
2:05
a
2:05
curated
2:06
selection
2:07
of
2:07
the
2:07
most
2:07
important
2:08
retail
2:08
headlines
2:08
every
2:09
morning
2:09
and
2:09
our
2:10
Retail
2:10
Technology
2:10
Spotlight
2:11
series
2:11
which
2:11
goes
2:12
deep
2:12
each
2:12
week
2:13
on
2:13
the
2:13
latest
2:14
retail
2:14
technology
2:15
Trends.
2:15
Today
2:16
is
2:16
December
2:17
17,
2:18
2025.
2:19
I'm
2:19
one
2:19
of
2:19
your
2:19
hosts
2:20
and
2:20
Mazinga.
2:21
And
2:21
I'm
2:21
one
2:21
of
2:21
your
2:22
other
2:22
hosts,
2:22
Chris
2:22
Walton.
2:23
And
2:23
we
2:24
are
2:24
here
2:24
once
2:24
again
2:25
for
2:25
the
2:26
final
2:26
fast
2:26
five
2:27
of
2:27
2025
2:28
to
2:28
discuss
2:29
all
2:29
the
2:29
top
2:29
headlines
2:30
from
2:30
the
2:30
past
2:30
week
2:31
making
2:31
waves
2:31
in
2:32
the
2:32
world
2:32
of
2:32
omnichannel
2:33
retailing.
2:34
Chris,
2:35
it's
2:35
the
2:36
last
2:36
show,
2:36
2025.
2:37
I
2:38
have
2:38
to
2:38
know
2:39
what
2:39
is
2:39
on
2:39
Your
2:39
bucket
2:40
list.
2:40
We're
2:40
going
2:40
to
2:40
be
2:40
taking
2:41
a
2:41
two
2:41
week
2:41
break.
2:42
Programming
2:43
note,
2:44
what's
2:44
on
2:44
your
2:44
bucket
2:44
list
2:45
for
2:45
holiday
2:45
break
2:45
2025?
2:46
What
2:46
are
2:46
you
2:46
going
2:47
to
2:47
do?
2:47
Oh,
2:47
oh
2:48
man,
2:48
I'm
2:49
gonna,
2:49
I'm
2:49
gonna
2:50
read
2:50
a
2:50
lot
2:50
of
2:50
books.
2:50
I
2:51
got
2:51
a
2:51
whole
2:51
list
2:51
of
2:51
books
2:52
I'm
2:52
working
2:52
on.
2:52
I'm.
2:53
I
2:53
got
2:53
introduced
2:53
to
2:54
Amer
2:54
Tolis.
2:55
I
2:55
don't
2:55
know
2:55
if
2:55
that's
2:55
how
2:55
you
2:56
say
2:56
his
2:56
name,
2:56
but
2:56
the
2:56
gentleman
2:57
in
2:57
Moscow,
2:58
great
2:58
book.
2:58
Read
2:58
the
2:59
first
2:59
one,
2:59
could
2:59
read
2:59
his
2:59
second
3:00
one
3:00
here
3:00
during
3:00
the
3:00
break.
3:01
So
3:01
I'm
3:01
excited
3:01
about
3:01
that.
3:02
Gonna
3:02
spend
3:03
some
3:03
time
3:03
with
3:03
the
3:03
family.
3:04
You
3:04
know,
3:05
I'm
3:05
very
3:05
much
3:05
looking
3:06
forward
3:06
to
3:06
this
3:06
break
3:06
and
3:07
we've
3:07
had
3:07
a
3:07
busy,
3:08
busy
3:08
content
3:09
year
3:09
when
3:09
it
3:09
comes
3:09
to
3:09
2025
3:10
and
3:11
I
3:11
think
3:11
at
3:11
least
3:12
I,
3:12
I
3:12
don't
3:12
want
3:12
to
3:12
speak
3:13
for
3:13
you,
3:13
but
3:13
I'm
3:13
very
3:14
much
3:14
looking
3:14
forward
3:14
to
3:15
this
3:15
break.
3:15
But
3:15
what
3:15
do
3:15
you
3:15
got
3:16
on
3:16
tap?
3:18
I.
3:18
Yeah,
3:18
my
3:18
husband's
3:19
actually
3:19
going
3:19
on
3:20
a
3:20
guys
3:21
trip
3:21
this
3:21
weekend,
3:22
so
3:23
I
3:23
get
3:23
to
3:23
kind
3:24
of
3:24
hang
3:24
out
3:24
and
3:24
be
3:25
solo
3:25
for
3:25
a
3:25
few
3:26
days
3:26
and
3:26
I'm
3:27
actually
3:28
looking,
3:28
secretly
3:28
looking
3:29
forward
3:29
to
3:29
it.
3:29
Just
3:30
a
3:30
quiet
3:30
weekend
3:31
and,
3:32
and
3:32
then
3:32
we're
3:33
going
3:33
out
3:33
to
3:34
the,
3:35
my
3:35
boys
3:35
and
3:35
I
3:35
are
3:36
going
3:36
to
3:36
go
3:36
out
3:36
to
3:36
Salt
3:37
Lake
3:37
to
3:37
go
3:37
skiing
3:39
before
3:40
January
3:40
madness
3:41
kicks
3:41
in.
3:41
I
3:42
always
3:42
like
3:42
to
3:42
spend
3:42
a
3:42
little
3:43
time
3:43
with
3:43
a
3:43
family
3:43
before
3:44
NRF
3:44
starts
3:45
and
3:45
then
3:46
we're
3:46
gone
3:46
and
3:47
it's
3:47
February,
3:47
next
3:48
thing
3:48
we
3:48
know
3:48
it.
3:48
So
3:49
that's,
3:49
that's
3:49
on
3:49
my
3:50
agenda.
3:51
Yeah,
3:51
well,
3:51
I
3:51
like
3:51
your
3:51
weekend
3:52
plans
3:52
a
3:52
lot
3:52
better
3:52
than
3:52
mine.
3:52
I'm
3:53
still
3:53
nursing
3:53
my
3:53
kid.
3:54
My
3:54
11
3:54
year
3:54
old
3:54
had
3:55
his
3:55
tonsils
3:55
out
3:55
and
3:56
man,
3:56
that's
3:57
rough.
3:57
Like
3:57
he
3:58
can't,
3:58
dude's
3:58
like
3:59
four
3:59
or
3:59
five
3:59
days
3:59
out,
3:59
he
4:00
still
4:00
can't
4:00
even
4:00
talk.
4:01
Like
4:01
he
4:01
is
4:01
in
4:01
a
4:01
ton
4:02
of
4:02
pain.
4:02
So
4:03
just
4:03
been
4:03
nursing
4:03
him
4:04
playing
4:04
Dr.
4:04
Dad
4:05
here
4:05
for
4:05
the
4:05
past
4:06
week
4:06
and
4:06
I'm
4:06
getting
4:06
ready
4:07
for,
4:07
for
4:07
Dr.
4:08
Dad
4:08
to
4:08
get
4:09
fired
4:09
at
4:09
some
4:09
point
4:10
because
4:11
I
4:11
need
4:11
a
4:11
break
4:11
from
4:12
that.
4:12
But,
4:12
but
4:12
yeah,
4:13
you
4:13
mentioned
4:13
nrf.
4:14
Like
4:14
what
4:14
are
4:14
you,
4:14
what
4:14
are
4:14
you
4:15
most
4:15
excited
4:15
about
4:15
for
4:15
NRF
4:16
too?
4:16
Yeah.
4:17
So
4:17
there's
4:17
a
4:17
lot
4:18
to
4:18
stay
4:18
tuned
4:19
for
4:19
at
4:19
nrf.
4:20
So
4:20
number
4:20
one,
4:21
as
4:21
we
4:22
always
4:22
do,
4:22
we'll
4:23
be
4:23
bringing
4:23
you
4:24
live
4:24
coverage.
4:25
Tons
4:25
of
4:25
interviews
4:26
with
4:26
retailers
4:27
talking
4:27
about
4:27
what
4:28
they're
4:28
looking
4:28
forward
4:29
to
4:29
for
4:30
26,
4:30
what,
4:31
what
4:31
technology
4:32
they're
4:32
interested
4:33
in.
4:33
Just
4:33
getting
4:34
a
4:34
little
4:34
bit
4:34
of
4:34
background
4:34
from
4:35
them.
4:35
We'll
4:35
be
4:35
recording
4:36
from
4:36
the
4:36
Fusion
4:36
group
4:36
booth,
4:37
number
4:37
49
4:38
21,
4:39
Sunday
4:40
through
4:40
Tuesday.
4:41
So
4:41
if
4:41
you're
4:41
out
4:41
at
4:42
NRF,
4:42
please
4:43
stop
4:43
by,
4:43
come
4:44
say
4:44
hello.
4:44
We
4:44
have
4:44
a
4:45
little
4:45
recording
4:45
booth
4:46
set
4:46
up
4:46
in
4:46
the
4:47
Fusion
4:47
Group
4:47
booth.
4:48
It's
4:48
going
4:48
to
4:48
be
4:48
hard
4:48
to
4:48
miss.
4:49
They're
4:49
usually
4:49
one
4:49
of
4:49
the
4:50
biggest
4:50
booths
4:50
that's
4:51
on
4:51
the
4:51
floor,
4:52
so
4:52
I
4:52
think.
4:52
They
4:52
are
4:52
the
4:53
biggest
4:53
booth,
4:53
actually.
4:54
Yeah.
4:54
At
4:54
least
4:54
getting
4:55
close
4:55
to
4:55
it.
4:55
Yeah,
4:55
for
4:56
sure.
4:56
Yes.
4:56
Yeah.
4:57
So
4:57
make
4:57
sure
4:57
to
4:57
check
4:58
that
4:58
out.
4:59
And
4:59
then
4:59
on
5:00
Monday
5:00
night,
5:01
there
5:01
are
5:02
a
5:02
couple
5:02
of
5:03
slots
5:03
left.
5:03
We
5:03
are
5:04
doing
5:04
a
5:05
tour
5:05
of
5:05
the
5:06
Zara
5:06
flagship
5:07
store
5:07
at
5:08
Hudson
5:08
Yards.
5:09
And
5:09
so
5:09
we're
5:09
going
5:09
to
5:10
go
5:10
in,
5:10
Zara
5:10
is
5:11
going
5:11
to
5:11
be
5:11
talking
5:11
with
5:12
us
5:12
about
5:13
some
5:13
of
5:13
the
5:13
technology
5:14
investments
5:14
that
5:14
they
5:14
made.
5:15
Cleveron
5:16
is
5:16
going
5:16
to
5:17
be
5:17
there.
5:17
They're
5:17
going
5:17
to
5:17
be
5:17
talking
5:18
about
5:18
the
5:18
automated
5:18
parcel
5:19
system
5:20
that
5:20
they
5:21
set
5:21
up
5:21
in
5:21
that
5:21
Zara
5:22
store
5:22
and
5:22
Zara
5:22
stores
5:23
around
5:23
the
5:23
world.
5:25
So
5:25
make
5:25
sure
5:25
you
5:26
reach
5:26
out
5:26
to
5:27
me
5:27
directly
5:27
if
5:27
you
5:28
want,
5:28
save
5:29
a
5:29
spot
5:30
in
5:30
that
5:31
tour.
5:31
And
5:32
then,
5:32
of
5:32
course,
5:32
you
5:33
know,
5:33
we'll
5:33
be
5:33
hitting
5:33
up
5:34
various
5:34
events,
5:34
Chris.
5:35
I
5:35
mean,
5:35
there's
5:35
always
5:36
like
5:36
four
5:36
or
5:36
five
5:37
per
5:37
night
5:37
that
5:37
are
5:37
going
5:38
on.
5:38
So
5:39
send
5:39
us
5:40
over
5:40
a
5:40
message
5:40
and
5:40
let
5:40
us
5:41
know
5:41
where
5:41
you'll
5:41
be
5:41
and
5:42
hopefully
5:42
we'll
5:43
see
5:43
you
5:43
there.
5:44
Yeah.
5:44
NRF
5:45
is
5:45
an
5:45
alcohol
5:45
extreme.
5:46
I
5:46
think
5:46
given
5:46
the
5:47
amount
5:47
of
5:47
free
5:47
alcohol
5:47
that
5:48
flows
5:48
at
5:48
all
5:48
those
5:48
parties
5:49
every
5:49
single,
5:49
every
5:50
single,
5:50
every
5:51
single
5:51
night.
5:51
You're
5:51
right.
5:51
I
5:52
mean,
5:52
there's,
5:52
there's
5:52
a
5:52
party
5:53
every
5:53
hour
5:53
on
5:53
the
5:53
hour
5:54
in
5:54
New
5:54
York.
5:54
So.
5:55
All
5:55
right.
5:55
And
5:56
well,
5:56
let's
5:56
do
5:57
it.
5:57
Let's
5:57
send
5:57
off
5:57
2025
5:58
with
5:59
a
5:59
bang
5:59
in
6:00
this
6:00
week's
6:00
Fast
6:00
5.
6:00
We've
6:01
got
6:01
news
6:01
on
6:01
Instacart's
6:02
pricing
6:02
kerfuffle,
6:03
November's
6:04
record
6:04
online
6:05
grocery
6:05
sales,
6:06
Target's
6:06
new
6:07
Soho
6:08
House
6:08
store,
6:09
Ashley
6:09
going
6:10
all
6:10
in
6:10
on
6:10
agentic
6:11
AI
6:11
via
6:11
Perplexity.
6:12
And
6:12
David
6:12
Dorff,
6:13
one
6:13
of
6:13
our
6:13
favorite
6:14
recurring
6:14
guests,
6:15
stops
6:15
by
6:15
for
6:16
five
6:16
insightful
6:16
minutes
6:17
to
6:17
give
6:17
us
6:17
his
6:17
insightful
6:18
predictions
6:19
on
6:19
AI
6:19
for
6:20
2026.
6:21
But
6:21
we
6:21
begin
6:21
today
6:22
with
6:22
with
6:22
news
6:22
out
6:23
of
6:23
Amazon
6:23
that
6:23
I
6:23
just
6:24
can't,
6:24
I
6:24
just
6:24
can't
6:25
wait
6:25
to
6:25
rush
6:25
into.
6:26
Ann
6:27
oh,
6:27
that's
6:28
because
6:28
Amazon
6:29
has
6:29
planned
6:30
its
6:30
new
6:31
rush
6:31
pickup
6:32
service.
6:32
Chris.
6:33
According
6:33
to
6:33
Business
6:34
Insider,
6:34
Amazon
6:35
is
6:35
developing
6:35
a
6:36
rush
6:36
pickup
6:36
service
6:37
that
6:37
will
6:37
let
6:38
shoppers
6:38
collect
6:38
their
6:39
orders
6:39
at
6:39
Amazon
6:40
owned
6:40
stores
6:40
all
6:41
within
6:41
an
6:41
hour,
6:42
which
6:42
comes
6:43
from
6:43
a
6:43
reported
6:44
internal
6:44
document
6:44
and
6:45
a
6:45
person
6:45
familiar
6:46
with
6:46
the
6:46
matter.
6:47
Shoppers
6:47
will
6:47
be
6:47
able
6:48
to
6:48
place
6:48
a
6:48
unified
6:49
order
6:49
from
6:49
both
6:50
Amazon's
6:50
online
6:51
marketplace
6:51
and
6:52
and
6:52
items
6:53
stocked
6:53
in
6:53
Amazon
6:54
owned
6:54
stores.
6:54
The
6:55
document
6:55
explained
6:56
the
6:56
tech
6:56
giant
6:56
plans
6:57
to
6:57
pilot
6:57
launch
6:58
the
6:58
new
6:58
program
6:58
in
6:59
at
6:59
least
6:59
one
6:59
metro
6:59
area
7:00
by
7:00
the
7:01
first
7:01
quarter
7:01
of
7:01
2026,
7:02
according
7:02
to
7:03
this
7:03
document.
7:04
However,
7:04
it
7:04
is
7:04
uncertain
7:05
that
7:06
whether
7:06
that
7:06
timeline
7:07
is
7:07
still
7:07
in
7:08
effect.
7:08
Also
7:09
said
7:09
the
7:09
person
7:10
familiar
7:10
with
7:10
the
7:11
matter
7:11
who
7:11
spoke
7:11
on
7:12
a
7:12
condition
7:12
of
7:12
anonymous
7:13
anonymity.
7:14
Anon.
7:15
I
7:15
cannot
7:15
ever
7:16
say
7:16
that
7:16
word.
7:18
A
7:18
non.
7:18
He
7:19
wanted
7:19
to
7:19
be
7:19
he
7:19
or
7:20
she
7:20
wanted
7:20
to
7:20
be
7:20
anonymous.
7:21
Anonymity.
7:21
Thank
7:22
you.
7:22
Because
7:22
they
7:23
were
7:23
not
7:23
authorized
7:24
to
7:24
speak
7:25
to
7:25
the
7:25
press.
7:26
An
7:27
Amazon
7:27
spokesperson
7:28
also
7:28
declined
7:29
to
7:29
comment
7:30
on
7:30
this
7:30
story.
7:31
So,
7:31
Chris,
7:32
a
7:32
lot
7:32
of,
7:33
a
7:33
lot
7:33
of
7:34
he
7:34
said,
7:34
she
7:34
said
7:35
in
7:35
this,
7:35
in
7:35
this
7:36
headline.
7:37
But
7:37
would
7:38
you
7:38
advise
7:38
Amazon
7:39
to
7:39
proceed
7:40
with
7:40
its
7:41
Rush
7:41
delivery
7:41
service
7:42
if
7:42
this
7:42
is
7:43
indeed
7:44
on
7:44
its
7:44
way
7:44
in
7:45
2026?
7:46
100%,
7:48
no.
7:48
And
7:48
I
7:49
do
7:49
think
7:49
we
7:49
have
7:49
to
7:49
look
7:49
at
7:50
the
7:50
source
7:50
here.
7:50
You
7:50
know,
7:50
Business
7:51
Insider.
7:51
Yeah.
7:52
Questionable
7:52
sometimes
7:53
in
7:53
terms
7:53
of
7:53
what
7:53
they're
7:54
covering.
7:54
And
7:54
generally
7:55
when
7:55
you
7:55
see
7:55
headlines
7:56
like
7:56
this
7:56
too,
7:56
where
7:57
the
7:57
source
7:57
is
7:57
anonymous
7:58
and
7:58
there's
7:58
a
7:59
memo,
7:59
it's
7:59
either
7:59
one
8:00
of
8:00
two
8:00
things.
8:00
Either
8:00
the
8:00
company
8:01
is
8:01
purposely
8:01
leaking
8:02
it
8:02
themselves
8:02
and
8:03
doesn't
8:03
want
8:03
to
8:03
talk
8:03
about
8:03
it,
8:04
or
8:04
you
8:04
got
8:04
a
8:04
disgruntled
8:05
person
8:05
who
8:05
just
8:06
wants
8:06
to
8:06
get,
8:06
you
8:06
know,
8:07
something
8:07
out
8:07
on
8:07
the
8:08
company.
8:08
So.
8:08
So
8:09
that's
8:09
the
8:09
background
8:10
here
8:10
as
8:10
I
8:10
look
8:11
through
8:11
this
8:11
story
8:11
through
8:12
my
8:12
lens
8:12
or
8:12
my
8:13
vantage
8:13
point.
8:13
And
8:13
so.
8:14
But
8:14
I
8:14
would
8:15
not
8:15
support
8:15
this
8:15
pilot.
8:16
And
8:16
I
8:16
can
8:16
think
8:16
of
8:16
a
8:17
whole
8:17
host
8:17
of
8:17
reasons
8:18
why.
8:18
I
8:18
think,
8:18
number
8:18
one,
8:19
this
8:19
isn't
8:20
why
8:20
I
8:20
go
8:20
into
8:21
the
8:21
Amazon
8:21
app,
8:22
generally
8:22
speaking.
8:23
Like,
8:23
I
8:23
don't
8:23
go
8:24
there
8:24
to
8:24
coordinate
8:24
a
8:24
pickup
8:25
order.
8:26
And
8:26
two,
8:26
for
8:27
that
8:27
reason,
8:27
I
8:28
would
8:28
be
8:28
leaning
8:28
into
8:28
things
8:29
like
8:29
faster
8:29
delivery
8:30
first,
8:30
which
8:30
they've
8:30
been
8:31
doing.
8:31
And
8:31
first
8:31
and
8:31
foremost,
8:32
I'd
8:32
be
8:32
hitting
8:32
that
8:32
up.
8:33
Play
8:33
to
8:33
your
8:33
strength.
8:34
Speed
8:34
has
8:34
always
8:35
been
8:35
Amazon's
8:35
strength.
8:36
It's
8:36
always
8:36
been
8:36
a
8:36
key
8:36
part
8:37
of
8:37
the
8:37
flywheel.
8:37
I
8:37
mean,
8:37
they're
8:38
trying
8:38
to
8:38
do
8:38
that
8:38
with
8:38
Rush,
8:39
but
8:39
I
8:39
think
8:39
the
8:40
speed
8:40
of
8:40
at
8:40
home
8:41
delivery
8:41
in
8:41
30
8:41
minutes
8:42
is
8:42
even
8:42
more
8:42
compelling.
8:44
And
8:44
then
8:44
third,
8:44
this
8:45
is
8:45
the,
8:45
probably
8:45
the
8:45
biggest
8:45
point,
8:46
like
8:46
operationally,
8:46
like,
8:47
where
8:47
am
8:47
I
8:47
going
8:47
to
8:47
do
8:48
this
8:48
as
8:48
a
8:48
consumer
8:48
at
8:49
a
8:49
Whole
8:49
Foods,
8:49
which
8:50
is
8:50
already
8:50
filled
8:50
to
8:51
the
8:51
brim
8:51
with
8:51
long
8:52
lines
8:52
for
8:52
Amazon
8:53
returns
8:53
and
8:53
boxes
8:54
and
8:54
the,
8:55
and
8:55
the
8:55
Whole
8:55
Foods
8:56
parking
8:56
lots
8:56
are
8:56
disasters.
8:57
Like,
8:57
I
8:58
remember
8:58
that
8:58
running
8:58
joke
8:59
like
8:59
10
8:59
years
8:59
ago.
8:59
Namaste
9:00
for
9:00
the
9:00
Whole
9:00
Foods
9:01
parking
9:01
lot
9:01
means
9:02
it's
9:02
code
9:02
for
9:02
eat,
9:02
you
9:03
know
9:03
what
9:03
and
9:03
die.
9:04
Which
9:04
is
9:04
hilarious
9:05
because
9:05
that's
9:05
what
9:05
a
9:05
Whole
9:05
Foods
9:06
parking
9:06
lot
9:06
is
9:06
like.
9:07
They're
9:07
usually
9:07
very
9:07
small,
9:08
very
9:08
constrained,
9:09
they're
9:09
not
9:09
easy
9:10
to
9:10
get
9:10
around.
9:11
And
9:11
now
9:11
what?
9:11
I'm
9:11
going
9:11
to
9:11
ask
9:12
Whole
9:12
Foods
9:12
employees
9:12
to
9:13
bring
9:13
out
9:13
things
9:13
like
9:14
weights
9:14
and
9:15
clothes
9:15
to
9:16
people's
9:16
cars
9:16
or
9:16
to
9:17
people
9:17
that
9:17
are
9:17
just
9:17
happy
9:18
to
9:18
stop
9:18
by
9:19
there.
9:19
So
9:19
I
9:20
just
9:20
don't
9:20
like
9:20
it.
9:20
And
9:21
Walmart
9:21
at
9:21
the
9:21
end
9:22
of
9:22
the
9:22
day,
9:22
if
9:22
you
9:23
look
9:23
at
9:23
it
9:23
competitively
9:24
too,
9:24
Walmart
9:25
at
9:25
the
9:25
end
9:25
of
9:25
the
9:25
day
9:26
makes
9:26
it
9:26
easier
9:26
than
9:27
Amazon
9:27
and
9:27
will
9:28
forever
9:28
be
9:28
easier
9:29
than
9:29
Amazon
9:30
because
9:30
of
9:30
its
9:30
locations,
9:31
because
9:31
of
9:31
its
9:31
design,
9:32
of
9:32
its
9:32
physical
9:32
operations.
9:33
And
9:33
so
9:33
they're
9:34
going
9:34
to
9:34
win
9:34
this
9:34
battle
9:34
at
9:35
scale.
9:35
So
9:35
this
9:35
is
9:36
a
9:36
road
9:36
to
9:36
nowhere,
9:36
in
9:37
my
9:37
opinion.
9:38
I'm,
9:38
I'm
9:39
gonna
9:39
slightly
9:39
disagree
9:40
with
9:40
you.
9:40
I
9:40
don't
9:40
disagree
9:41
with
9:41
the
9:41
points
9:41
that
9:41
you
9:42
made
9:42
because
9:43
there's
9:43
no
9:43
denying
9:44
that
9:44
this
9:44
is
9:45
a
9:45
massive,
9:46
massive
9:46
overhaul
9:47
of
9:48
if
9:49
we're
9:49
using
9:49
Whole
9:49
Foods
9:50
as
9:50
an
9:50
example,
9:50
which
9:50
I
9:51
think
9:51
you
9:51
make
9:51
the,
9:52
the
9:52
right
9:52
point
9:52
that,
9:53
that
9:53
seems
9:54
to
9:54
me
9:54
like
9:54
that's
9:55
the
9:55
best
9:55
case
9:55
scenario
9:56
here,
9:56
would
9:56
be
9:57
turning
9:57
this
9:57
in
9:58
the
9:58
Whole
9:58
Foods
9:58
locations
9:59
into
9:59
your
9:59
rapid
10:00
pickup
10:00
points.
10:01
But,
10:02
but
10:02
I
10:02
actually
10:03
think
10:03
this
10:03
could,
10:04
I
10:04
would
10:04
be
10:04
piloting
10:05
this
10:05
because
10:05
I
10:06
think
10:06
that
10:06
it
10:06
could
10:06
be
10:06
one
10:07
of
10:07
the
10:07
smartest
10:07
moves
10:08
that
10:08
we've
10:08
seen
10:08
out
10:09
of
10:09
Amazon
10:09
as
10:09
of
10:10
late.
10:10
I
10:10
know
10:11
you
10:11
mentioned
10:11
it's
10:11
not
10:11
why
10:12
you
10:12
go
10:12
into
10:12
your
10:12
Amazon
10:13
app
10:13
now,
10:13
but
10:14
I
10:14
think
10:14
that's
10:15
because
10:15
it's
10:16
not,
10:16
that's
10:16
not
10:16
the
10:16
destination
10:17
that
10:18
like
10:18
we've
10:18
said
10:18
in,
10:19
in
10:19
shows
10:19
past,
10:19
you're
10:20
going
10:20
there
10:20
to
10:20
like
10:20
find,
10:21
you
10:21
know,
10:22
a
10:22
phone
10:22
charger
10:23
and
10:23
get
10:23
it
10:23
shipped
10:23
to
10:23
you
10:24
quickly.
10:24
I
10:25
would
10:25
say
10:25
if,
10:26
if
10:26
you're
10:26
able
10:26
to,
10:27
which
10:27
we've
10:28
not
10:28
been
10:28
able
10:28
to
10:28
before,
10:28
if
10:29
you
10:29
were
10:29
able
10:29
to
10:29
pick
10:30
up
10:30
an
10:30
Amazon
10:30
order
10:31
that
10:31
included
10:32
milk,
10:33
eggs
10:33
and
10:33
the
10:34
phone
10:34
charger,
10:35
would
10:35
you
10:35
do
10:35
it?
10:36
Maybe.
10:37
I
10:37
mean,
10:37
we
10:37
just
10:37
haven't
10:38
had
10:38
this
10:38
opportunity
10:39
before.
10:39
And
10:39
I
10:40
actually
10:40
think
10:41
that
10:41
if
10:41
they
10:41
are
10:41
moving
10:42
more
10:42
towards
10:42
this,
10:43
like
10:43
get
10:43
your
10:43
Doritos,
10:44
Pepsi
10:45
and
10:45
Whole
10:45
Foods
10:46
products
10:46
all
10:46
in
10:46
one
10:47
trip,
10:47
like
10:47
this
10:48
method
10:48
makes
10:49
the
10:49
most
10:49
sense
10:49
to
10:49
me
10:50
in
10:50
order
10:50
to
10:50
do
10:51
that,
10:51
because
10:51
it
10:52
is
10:52
a
10:52
trip
10:53
where
10:53
you're,
10:53
you
10:53
know,
10:54
you're
10:54
doing
10:54
that
10:54
at
10:54
Walmart,
10:55
you're
10:55
doing
10:55
that
10:55
at
10:56
Target,
10:56
and
10:56
this
10:57
could
10:57
make
10:58
sense.
10:58
But
10:59
I
10:59
think
10:59
that
10:59
you
11:00
still
11:00
have
11:00
a
11:00
big
11:01
hurdle
11:01
to
11:01
get
11:01
over,
11:02
and
11:02
that's
11:02
the
11:02
question
11:03
that
11:03
I
11:03
would
11:03
have
11:03
is
11:03
like,
11:04
how
11:04
are
11:04
you
11:04
going
11:04
to
11:05
operationalize
11:05
this
11:06
at
11:06
a
11:06
Whole
11:06
Foods
11:06
Foods?
11:07
Do
11:07
you
11:08
have
11:08
the
11:08
back
11:08
of
11:08
house
11:09
space
11:09
to
11:09
store
11:10
like
11:10
all
11:11
of
11:11
these
11:11
products?
11:12
Are
11:12
you
11:12
working
11:13
with,
11:13
you
11:13
know,
11:14
your
11:14
same,
11:14
same
11:14
day
11:15
delivery
11:15
warehouse
11:16
and
11:16
you're
11:16
delivering
11:17
orders?
11:17
Like,
11:17
there's
11:17
a
11:18
lot
11:18
of
11:18
things
11:18
logistically
11:19
that
11:19
have
11:19
to
11:19
make
11:20
sense,
11:21
but
11:21
if
11:21
they
11:22
could
11:22
figure
11:22
it
11:22
out,
11:22
I
11:23
do
11:23
actually
11:23
like
11:23
it
11:24
and
11:24
I
11:24
think
11:24
it
11:24
starts
11:25
to
11:25
make
11:25
them
11:25
a
11:26
little
11:26
bit
11:26
more
11:26
defensible
11:27
against
11:27
Walmart,
11:28
who's
11:28
just
11:28
completely
11:29
eating
11:29
their
11:29
lunch.
11:30
I.
11:31
I
11:31
don't
11:31
know.
11:31
The
11:31
last
11:32
point
11:32
I
11:32
make
11:32
is
11:32
I
11:32
think
11:32
my
11:33
answer
11:33
to
11:33
all
11:33
those
11:33
questions
11:34
would
11:34
be
11:34
no.
11:34
And
11:35
at
11:35
the
11:35
end
11:35
of
11:35
the
11:35
day,
11:35
Walmart
11:36
has
11:37
nine
11:37
times
11:37
the
11:38
amount
11:38
of
11:38
stores
11:38
that
11:38
Whole
11:39
Foods
11:39
has
11:39
throughout
11:39
the
11:39
US
11:40
So
11:40
it's
11:40
just
11:41
an
11:41
uphill
11:41
battle
11:41
if
11:42
that's
11:42
the
11:42
only
11:42
place
11:42
you
11:43
can
11:43
have.
11:43
And
11:43
that's
11:43
what
11:43
the
11:43
story
11:44
alludes
11:44
to.
11:44
It
11:44
says
11:44
Whole
11:45
Foods,
11:45
Amazon
11:45
Go
11:46
and
11:46
Amazon
11:47
like
11:47
Fresh,
11:47
which
11:48
is
11:48
like,
11:48
you
11:48
know,
11:48
a
11:49
pittance
11:49
comparatively.
11:50
So.
11:50
So
11:51
yeah,
11:51
I
11:51
just
11:51
don't
11:51
see
11:51
it.
11:51
All
11:52
right,
11:52
headline
11:52
number
11:52
two
11:52
Instacart's
11:53
AI
11:53
enabled
11:54
pricing
11:54
experiments
11:55
may
11:56
be
11:56
inflating
11:56
your
11:57
grocery
11:57
bill.
11:57
That
11:58
is,
11:58
according
11:58
to
11:58
a
11:58
Consumer
11:59
Reports
11:59
and
12:00
Groundwork
12:00
Collaborative
12:01
investigation.
12:03
According
12:03
to
12:03
a
12:03
post
12:04
on
12:04
ConsumerReports.org,
12:05
the
12:06
investigation
12:06
found
12:06
that
12:07
some
12:07
grocery
12:07
prices
12:08
differed
12:08
by
12:09
as
12:09
much
12:09
as
12:09
23%
12:10
per
12:10
item
12:11
from
12:11
one
12:11
Instacart
12:12
customer
12:12
to
12:13
the
12:13
next.
12:14
There's
12:14
lots
12:14
to
12:14
sort
12:15
through
12:15
here
12:15
because
12:15
we
12:15
want
12:16
to
12:16
get
12:16
the
12:16
background
12:16
information
12:17
correct,
12:18
so
12:18
please
12:18
bear
12:18
with
12:18
me.
12:19
In
12:19
September,
12:20
437
12:22
volunteers
12:22
were
12:23
divided
12:23
into
12:23
four
12:24
groups
12:24
during
12:24
a
12:25
video
12:25
meeting.
12:25
For
12:25
each
12:26
group,
12:26
the
12:26
volunteers
12:27
simultaneously
12:28
shopped
12:28
on
12:28
Instacart
12:29
for
12:29
identical
12:30
baskets
12:30
of
12:30
18
12:31
to
12:31
20
12:31
goods
12:32
from
12:32
the
12:32
same
12:32
retailers,
12:33
Safeway
12:34
and
12:34
Target.
12:34
A
12:35
fifth
12:35
test
12:35
looking
12:36
at
12:36
Safeway
12:36
and
12:36
Target
12:37
was
12:37
conducted
12:37
in
12:37
person
12:38
with
12:38
volunteers
12:38
in
12:39
Washington,
12:39
D.C.
12:40
this
12:40
process
12:41
enabled
12:41
Consumer
12:42
Reports
12:42
and
12:42
Groundwork
12:43
Collaborative
12:43
to
12:43
control
12:44
for
12:44
some
12:44
of
12:44
the
12:44
factors
12:45
that
12:45
might
12:45
have
12:45
influenced
12:45
the
12:46
prices
12:46
the
12:46
shoppers
12:47
saw,
12:47
including
12:47
the
12:47
specific
12:48
store
12:48
they
12:48
shopped
12:49
at
12:49
the
12:49
time
12:49
of
12:49
day
12:50
and
12:50
the
12:51
day
12:51
of
12:51
the
12:51
week.
12:51
And
12:51
in
12:52
a
12:52
final
12:52
test
12:52
conducted
12:53
online
12:53
with
12:53
volunteers
12:54
in
12:54
November,
12:54
they
12:55
looked
12:55
at
12:55
Instacart
12:55
purchases
12:56
at
12:56
additional
12:57
grocery
12:57
retailers
12:58
and
12:58
found
12:58
evidence
12:59
of
12:59
price
12:59
experimentation
13:00
at
13:00
four
13:00
additional
13:01
chains,
13:02
Albertsons,
13:02
Costco,
13:03
Kroger
13:04
and
13:04
Sprouts
13:05
Farmers
13:05
Market.
13:06
Instacart
13:07
confirmed
13:07
that
13:07
the
13:08
findings
13:08
accurately
13:09
reflected
13:09
its
13:10
pricing
13:10
experiments
13:11
and
13:11
strategies,
13:11
which
13:11
it
13:12
said
13:12
were
13:12
ongoing
13:13
at
13:13
10
13:14
partnering
13:14
grocery
13:15
retailers
13:15
at
13:15
the
13:15
time
13:16
of
13:16
the
13:16
investigation.
13:17
The
13:17
company,
13:18
however,
13:18
declined
13:18
to
13:19
name
13:19
them
13:19
and
13:20
said
13:20
the
13:20
experiments
13:20
affect
13:21
only
13:21
a
13:21
small
13:22
portion
13:22
of
13:22
its
13:22
retail
13:23
partners,
13:23
have
13:23
a
13:23
limited
13:24
impact
13:24
on
13:24
consumer
13:25
pocketbooks,
13:26
and
13:26
are
13:26
similar
13:26
to
13:27
well
13:27
established
13:27
in
13:28
store
13:28
pricing
13:28
practices.
13:29
Hmm.
13:30
And
13:31
this
13:31
is
13:31
also
13:32
the
13:32
A
13:32
and
13:32
M
13:32
Put
13:32
yout
13:33
on
13:33
the
13:33
Spot
13:33
Question
13:33
of
13:34
the
13:34
Week
13:34
and
13:34
A
13:34
and
13:34
M
13:35
Wants
13:35
to
13:35
Know
13:35
Quote
13:36
While
13:36
algorithmic
13:37
pricing
13:37
as
13:38
described
13:38
in
13:38
this
13:38
article
13:39
is
13:39
neither
13:39
illegal
13:40
nor
13:40
new,
13:41
do
13:41
you
13:42
feel
13:42
any
13:42
differently
13:42
about
13:43
retailers
13:43
choosing
13:43
to
13:44
apply
13:44
this
13:44
to
13:44
basic
13:45
needs
13:45
and
13:45
essential
13:46
categories
13:46
like
13:46
grocery
13:47
than
13:47
for
13:47
more
13:48
discretionary
13:48
categories
13:49
like
13:49
travel
13:50
and
13:50
hospitality,
13:51
which
13:51
are
13:52
more
13:52
supply
13:53
and
13:53
demand
13:53
driven.
13:54
The
13:55
floor
13:55
is
13:55
yours.
13:56
So
13:57
I
13:57
think
13:57
it's
13:57
important
13:58
for
13:58
me
13:58
in
13:59
answering
13:59
this
13:59
question
13:59
to
14:00
separate
14:01
algorithmic
14:02
pricing
14:02
at
14:02
a
14:02
grocery
14:03
store
14:03
and
14:04
algorithmic
14:05
pricing
14:05
for
14:05
an
14:06
Instacart
14:06
order
14:07
from
14:07
a
14:07
grocery
14:07
store.
14:08
I
14:09
think
14:09
what
14:09
it
14:09
comes
14:09
down
14:10
to
14:10
for
14:10
me
14:10
is
14:11
that
14:11
Instacart
14:11
is
14:11
still
14:12
a
14:12
convenience
14:12
business.
14:13
So
14:13
I
14:13
think
14:14
as,
14:15
as
14:15
long
14:15
as
14:15
they're
14:16
transparent,
14:17
which
14:17
a
14:17
lot
14:17
of
14:18
the
14:18
travel
14:18
and
14:19
hospitality
14:20
providers
14:20
that
14:21
you
14:21
mentioned
14:22
about
14:22
surge
14:22
pricing
14:23
or
14:23
the
14:24
fact
14:24
that
14:24
there
14:24
is
14:24
going
14:25
to
14:25
be,
14:25
you
14:25
know,
14:26
supply
14:26
and
14:26
demand
14:27
factored
14:27
into
14:28
this,
14:28
Well,
14:28
I
14:29
don't
14:29
personally
14:29
like
14:29
it.
14:30
I
14:30
can
14:30
see
14:30
the
14:30
business
14:30
case
14:31
for
14:31
Instacart
14:31
doing
14:32
it.
14:33
I
14:33
also
14:34
think
14:34
that
14:34
a
14:35
big
14:35
part
14:35
of
14:35
this,
14:36
like
14:36
you
14:36
see
14:36
with
14:37
Uber
14:37
or,
14:38
you
14:38
know,
14:38
travel
14:39
sites
14:39
too,
14:40
is
14:40
that
14:40
you're
14:40
going
14:41
to
14:41
get
14:41
consumers
14:41
who
14:42
stop
14:42
using
14:42
it
14:43
as
14:43
a
14:43
result
14:43
and
14:43
default
14:44
then
14:44
to
14:45
grocer's
14:46
own
14:46
programs
14:47
for
14:47
either
14:48
delivery
14:48
or
14:49
curbside
14:49
pickup.
14:51
So
14:51
I
14:51
think
14:51
that,
14:52
all
14:53
in
14:53
all,
14:53
I
14:54
understand
14:54
the
14:54
business
14:55
case.
14:55
I
14:55
think
14:56
it's,
14:56
it's
14:57
a,
14:58
it's
14:58
harder
14:58
for
14:58
me
14:59
in
14:59
the
14:59
case
14:59
of
14:59
just
14:59
your
15:00
local
15:00
grocer,
15:00
you
15:01
know,
15:01
doing
15:01
price
15:01
changes
15:02
up
15:02
and
15:02
down,
15:04
you
15:04
know,
15:04
when
15:04
somebody's
15:05
going
15:05
into
15:05
the
15:05
grocery
15:06
store.
15:06
But
15:06
I
15:06
think
15:06
in
15:07
the
15:07
case
15:07
of
15:07
convenience,
15:08
I
15:08
can
15:08
understand
15:09
where
15:09
this
15:10
makes
15:10
sense.
15:10
But
15:10
the
15:11
bigger
15:11
question
15:11
for
15:12
me,
15:12
Chris,
15:12
on
15:12
this
15:12
one
15:13
is
15:13
that
15:14
now
15:14
that
15:14
consumers
15:14
have
15:15
access
15:15
to
15:16
AI
15:17
tools
15:17
to
15:18
just
15:18
take
15:18
their
15:19
shopping
15:19
list,
15:19
drop
15:20
it
15:20
into
15:21
Perplexity
15:21
or
15:21
chatgpt
15:22
and
15:22
be
15:22
like,
15:23
find
15:23
me
15:23
the
15:23
cheapest
15:24
price
15:24
for
15:25
this
15:25
basket.
15:25
And
15:26
what,
15:26
you
15:26
know,
15:26
what
15:27
they're
15:27
doing
15:27
now
15:27
with
15:27
Instacart
15:28
is
15:28
scraping
15:28
all
15:28
these
15:29
sites
15:29
anyway.
15:30
These
15:30
AI
15:30
engines
15:31
can
15:31
scrape
15:31
the
15:31
sites.
15:32
They
15:32
can
15:32
say,
15:32
here's
15:33
what
15:33
you're
15:33
going
15:33
to
15:33
get.
15:34
Here's
15:34
the
15:34
cheapest,
15:35
you
15:35
know,
15:36
the
15:36
cheapest
15:36
place
15:36
for
15:37
you
15:37
to
15:37
shop
15:37
for
15:37
your
15:37
entire
15:38
basket.
15:38
Yes,
15:39
you
15:39
could
15:39
have
15:39
it
15:39
delivered
15:40
or
15:40
you
15:40
could
15:40
pick
15:41
it
15:41
up.
15:41
Like
15:41
these
15:41
are
15:42
all
15:42
the
15:42
prices.
15:42
Like
15:43
consumers
15:43
have
15:44
that
15:44
available
15:44
and
15:45
at
15:45
their
15:45
fingertips
15:45
now.
15:46
So
15:46
I
15:46
think
15:46
the
15:46
bigger
15:46
issue
15:47
is
15:47
for
15:47
the
15:48
grocery
15:48
industry
15:49
to
15:49
realize
15:50
that
15:50
they're
15:50
going
15:50
to
15:50
have
15:50
to
15:51
wait.
15:51
They're
15:51
going
15:51
to
15:51
have
15:52
to
15:52
really
15:52
double
15:52
down
15:53
on
15:53
their
15:53
loyalty
15:54
programs.
15:54
They're
15:54
going
15:54
to
15:54
have
15:55
to
15:55
figure
15:55
out
15:55
ways
15:55
that
15:56
they,
15:56
you
15:56
know,
15:58
offer
15:58
their
15:58
own
15:59
buy
15:59
online
15:59
pickup
16:00
and
16:00
store
16:00
delivery.
16:01
That's
16:01
going
16:01
to
16:01
get
16:01
people
16:02
to
16:02
kind
16:02
of
16:02
maybe
16:03
look
16:03
beyond
16:03
the
16:04
total
16:04
basket
16:04
and
16:04
see
16:05
what
16:05
other
16:05
benefits
16:05
are
16:06
they
16:06
can
16:06
get
16:07
from
16:07
shopping
16:07
from
16:08
that
16:08
retailer
16:08
over
16:09
another.
16:09
But
16:10
ultimately
16:11
price
16:11
is
16:11
going
16:11
to,
16:12
going
16:12
to
16:12
play
16:12
a
16:13
huge
16:13
component
16:13
here.
16:14
And
16:14
the
16:14
transparency
16:15
they
16:15
have
16:15
with
16:15
these
16:15
AI
16:16
tools
16:16
I
16:16
think
16:16
kind
16:16
of
16:16
puts
16:17
this
16:17
whole
16:17
thing
16:17
to
16:18
bed
16:18
for
16:18
the
16:18
grocery
16:19
industry.
16:19
It's.
16:20
It's
16:20
unfortunate.
16:21
But
16:21
what
16:21
are
16:21
your
16:22
thoughts
16:22
here?
16:22
Where.
16:22
Where
16:23
do
16:23
you
16:23
land?
16:23
Do
16:23
you
16:23
think
16:24
it's
16:24
fair
16:24
to
16:24
put
16:25
this
16:25
on?
16:25
On,
16:26
you
16:26
know,
16:26
essential
16:27
items
16:27
like
16:27
grocery?
16:29
Yeah,
16:29
I
16:29
mean,
16:29
I
16:30
think
16:30
I
16:30
agree
16:30
with
16:30
your
16:31
point
16:31
about
16:31
the
16:31
impact
16:32
that
16:32
I
16:32
will
16:32
have
16:32
on
16:32
this
16:33
business.
16:33
We
16:33
can
16:33
touch
16:33
on
16:34
that
16:34
a
16:34
little
16:34
bit
16:34
more.
16:34
The
16:35
part
16:35
I'm
16:35
not
16:35
sure
16:35
I
16:35
agree
16:35
with
16:36
you
16:36
on
16:36
is
16:36
I
16:37
took
16:37
from
16:37
what
16:37
you
16:37
said
16:37
is
16:37
that
16:38
you're
16:38
okay
16:38
with
16:38
Instacart
16:39
doing
16:39
this,
16:39
but
16:39
you're
16:40
not
16:40
okay
16:40
with
16:40
your
16:40
local
16:41
grocer
16:41
doing
16:41
it
16:41
online.
16:42
Is
16:42
that
16:42
right?
16:43
Yeah,
16:43
I
16:44
mean,
16:44
I
16:44
think
16:44
that
16:44
you're.
16:45
That
16:45
Instacart
16:46
still
16:46
a
16:46
convenience
16:47
service,
16:47
and
16:48
that
16:48
is
16:49
different
16:49
to
16:49
me
16:49
than
16:50
your
16:50
local
16:50
grocer.
16:51
I
16:52
don't
16:52
think
16:52
it's
16:52
going
16:52
to
16:52
be
16:52
possible
16:53
for
16:53
local
16:53
grocers
16:54
because
16:54
of
16:54
AI,
16:55
but
16:55
I
16:55
also
16:55
think
16:55
that
16:57
it's
16:57
not.
16:57
Going
16:57
to
16:57
be
16:57
possible
16:58
for
16:58
anyone
16:58
because
16:59
of
16:59
AI,
16:59
but
16:59
just
17:00
out
17:00
of
17:01
the
17:01
question.
17:01
So,
17:01
yeah,
17:02
let's
17:02
take
17:02
it
17:02
out
17:02
of
17:02
the
17:02
equation.
17:03
So,
17:03
like,
17:03
if
17:03
a.
17:04
Are
17:04
you
17:04
okay
17:05
with
17:05
Instacart
17:06
doing
17:06
this
17:06
online,
17:06
using
17:07
dynamic
17:07
pricing
17:08
online,
17:08
but
17:09
not
17:09
okay
17:09
with
17:09
your
17:10
local
17:10
grocer
17:10
doing
17:11
dynamic
17:11
pricing
17:11
online?
17:12
Because
17:12
both
17:12
could
17:12
easily
17:13
do
17:13
it.
17:13
I
17:13
mean,
17:13
it's
17:14
just.
17:14
Yes.
17:14
Pricing.
17:15
They
17:15
are.
17:16
Yeah.
17:17
Yeah.
17:17
No,
17:17
I
17:17
think
17:18
that
17:19
I
17:19
don't
17:20
like
17:20
that
17:20
grocers
17:21
are
17:21
doing
17:21
it.
17:23
I
17:23
don't
17:23
like
17:23
it.
17:23
I
17:24
can
17:24
understand
17:24
the
17:24
business
17:25
case
17:25
for
17:25
it,
17:25
but
17:26
I
17:26
don't
17:26
like
17:26
that
17:26
they're
17:27
doing
17:27
that.
17:27
I
17:27
think
17:28
grocery
17:28
right
17:29
now
17:29
is
17:29
an
17:29
area
17:29
where
17:30
it's
17:30
just
17:30
too.
17:31
It's
17:32
too
17:32
difficult
17:34
for
17:34
people
17:34
to
17:35
be
17:35
getting
17:35
the
17:36
basic
17:36
needs
17:37
that
17:37
they
17:37
have
17:38
in
17:38
grocery.
17:39
And
17:40
if
17:40
I
17:40
were
17:40
a
17:40
grocer,
17:41
I.
17:41
Instead
17:42
of,
17:42
you
17:42
know,
17:42
more
17:43
price
17:45
changes,
17:45
I
17:46
would
17:46
be
17:46
focusing
17:46
on
17:47
how
17:47
do
17:47
I
17:47
get
17:47
them
17:48
in
17:48
with
17:48
my
17:48
loyalty
17:49
programs
17:49
or
17:50
what
17:50
other
17:50
offers
17:51
or
17:51
partnerships
17:52
could
17:52
I
17:52
put
17:53
in
17:53
place
17:53
so
17:53
that
17:54
I
17:54
can
17:54
make
17:54
up
17:55
for,
17:56
like,
17:56
using
17:57
the.
17:57
Getting
17:57
money
17:57
from
17:58
the
17:58
data
17:58
that
17:58
I
17:58
have
17:58
about
17:59
my
17:59
customers
17:59
instead
18:00
of
18:00
using
18:00
it
18:01
to
18:01
push
18:02
prices
18:02
up
18:02
and
18:02
down.
18:04
Yeah,
18:04
that's
18:05
where.
18:05
I
18:05
mean,
18:05
I
18:05
agree
18:06
with
18:06
that.
18:06
I
18:06
think
18:07
where
18:07
I
18:07
disagree
18:07
is
18:07
actually,
18:08
I
18:08
don't
18:08
think
18:08
Instacart
18:08
should
18:09
be
18:09
doing
18:09
this
18:09
either.
18:09
I
18:09
think,
18:10
you
18:10
know,
18:10
when
18:10
you
18:10
start
18:10
talking
18:11
about
18:11
trying
18:12
to
18:12
take
18:12
advantage
18:13
of
18:13
people
18:14
and
18:14
trying
18:14
to
18:14
gain
18:15
money
18:15
on
18:15
the
18:15
margins
18:16
for
18:16
items
18:16
that
18:16
they
18:17
have
18:17
to
18:17
buy.
18:18
Now,
18:18
granted,
18:18
it's
18:19
a
18:19
luxury
18:19
to
18:19
use
18:19
Instacart,
18:20
but
18:20
there's
18:21
a
18:21
lot
18:21
of
18:21
people
18:21
that
18:21
also
18:22
have
18:22
to
18:22
use
18:22
Instacart.
18:22
And
18:23
there's
18:23
also
18:23
snap
18:24
benefits
18:24
that
18:24
are
18:24
being
18:25
deployed
18:25
on
18:25
Instacart
18:26
and
18:26
how
18:26
is
18:26
that
18:26
being
18:26
applied
18:27
here
18:27
too?
18:27
We
18:27
don't
18:27
know
18:28
the
18:28
answer
18:28
to
18:28
that.
18:28
So
18:29
like.
18:29
Right,
18:29
lots
18:30
of
18:30
open
18:30
questions
18:30
here
18:30
and
18:31
I
18:31
think
18:31
this
18:31
just
18:31
brings
18:31
a
18:32
hill
18:32
storm
18:33
of
18:33
negative
18:34
blowback
18:34
to
18:35
potentially
18:35
for
18:35
Instacart
18:36
and
18:36
any
18:37
grocer
18:37
that's
18:37
going
18:37
to
18:37
try
18:37
it
18:38
and
18:38
no
18:38
grocer's
18:38
going
18:39
to
18:39
touch
18:39
this
18:39
given
18:40
the
18:40
political
18:40
climate
18:41
right
18:41
now.
18:41
So,
18:42
so
18:42
yeah,
18:42
I
18:43
100%
18:43
agree.
18:44
And
18:44
the
18:44
last
18:45
point
18:45
I
18:45
would
18:45
make
18:45
is
18:46
to
18:46
your
18:46
point
18:47
about
18:47
AI,
18:47
if
18:47
you're
18:48
a
18:48
grocery
18:48
executive,
18:49
you
18:49
have
18:50
to
18:50
be
18:50
scenario
18:51
planning.
18:52
What
18:52
do
18:52
you
18:53
do
18:53
when
18:54
agentic
18:55
AI
18:55
comes
18:55
in
18:56
and
18:56
how
18:56
do
18:56
you
18:56
design
18:56
your
18:57
in
18:57
store
18:57
experience
18:58
and
18:58
your
18:58
online
18:58
experience
18:59
within
19:00
this
19:00
world
19:01
around
19:01
pricing
19:02
and
19:02
loyalty?
19:03
That's
19:03
going
19:03
to
19:03
be
19:03
the
19:04
fundamental
19:04
question
19:04
here
19:05
because
19:05
you
19:05
have
19:06
to
19:06
assume
19:07
that
19:07
the
19:08
world
19:08
where
19:08
everything
19:08
is
19:09
price
19:09
transparent
19:10
is
19:10
coming.
19:11
And
19:11
that
19:11
is
19:11
why,
19:12
you
19:13
know,
19:13
UBS
19:13
for
19:14
the
19:14
most
19:14
part
19:14
predicts
19:15
that
19:15
grocery,
19:17
grocery
19:17
will
19:18
go
19:18
the
19:18
way
19:18
of
19:18
agentic
19:19
commerce
19:19
first
19:20
and
19:20
foremost
19:20
because
19:21
we
19:21
know
19:21
what
19:21
the
19:21
items
19:22
are,
19:22
we
19:22
buy
19:23
them
19:23
on
19:23
repeat
19:24
and
19:24
that's
19:24
what's
19:24
going
19:25
to
19:25
happen.
19:25
So,
19:26
so
19:26
yeah,
19:26
so
19:27
that's,
19:27
that's
19:27
my
19:27
take
19:28
here
19:28
and
19:28
I,
19:28
I
19:28
think
19:29
I,
19:29
I
19:29
think
19:29
I,
19:30
I
19:30
agree
19:30
with
19:30
you
19:30
for
19:30
the
19:30
most
19:30
part,
19:31
but
19:31
I
19:31
disagree
19:31
with
19:31
you
19:31
on
19:32
Instacart
19:33
being
19:33
allowed
19:33
to
19:33
do
19:33
this.
19:34
I
19:34
don't
19:34
think
19:34
that's
19:34
right
19:34
either.
19:35
Yeah,
19:36
I
19:36
think
19:36
the
19:37
other
19:37
part
19:37
Chris,
19:37
is
19:37
we're
19:38
still
19:38
missing
19:38
key
19:38
components
19:39
of
19:39
data
19:39
like
19:40
the
19:40
SNAP
19:40
benefits
19:40
are
19:41
not.
19:41
The
19:41
Instacart
19:42
fees
19:42
are
19:43
completely
19:44
waived
19:44
in
19:44
this
19:45
case
19:45
for
19:45
some
19:46
of
19:46
those
19:46
SNAP
19:46
benefit
19:47
recipients
19:48
or
19:48
at
19:48
least
19:48
were
19:48
in
19:49
November.
19:50
So
19:50
I
19:50
think
19:51
that
19:51
also
19:51
plays
19:52
into
19:52
it
19:52
too.
19:52
I
19:52
mean
19:53
there
19:54
are
19:54
other
19:54
factors
19:54
that
19:55
we
19:55
don't
19:55
have
19:55
the
19:56
data
19:56
on
19:56
to
19:57
understand.
19:58
Okay,
19:59
what
19:59
are
20:00
they
20:00
actually
20:00
being
20:00
charged?
20:01
This
20:01
was
20:01
432
20:02
people.
20:03
The
20:03
sample
20:03
size
20:03
is
20:04
small.
20:04
So
20:04
I
20:04
think
20:05
there's
20:05
more
20:05
to
20:05
it
20:06
than
20:07
we
20:07
are,
20:07
that
20:08
we
20:08
have
20:08
visibility
20:08
to
20:09
at
20:09
this
20:09
point
20:09
in
20:09
time.
20:11
All
20:11
right,
20:11
let's
20:11
go
20:12
on
20:12
to
20:12
headline
20:13
number
20:13
three.
20:14
November
20:15
extended
20:15
its
20:16
$10
20:16
billion
20:17
online
20:17
grocery
20:18
sales
20:18
streak
20:19
to
20:19
five
20:20
months.
20:21
According
20:21
to
20:21
a
20:22
joint
20:22
Brick
20:22
Meets
20:23
Click
20:23
and
20:23
Mercatus
20:24
report.
20:24
November
20:24
online
20:25
grocery
20:25
sales
20:25
spiked,
20:26
making
20:26
the
20:27
second
20:27
time
20:28
that
20:28
such
20:29
sales
20:29
topped
20:30
$12
20:30
billion.
20:31
Sales
20:32
reached
20:33
$12.3
20:33
billion.
20:34
That's
20:34
up
20:34
by
20:35
more
20:35
than
20:35
2.5
20:36
billion
20:36
or
20:37
more
20:37
than
20:37
28%
20:38
compared
20:38
to
20:39
November
20:39
of
20:39
2024.
20:41
All
20:41
three
20:41
receiving
20:42
methods,
20:42
delivery,
20:43
Click
20:43
and
20:43
collect
20:44
and
20:44
ship
20:44
to
20:44
home
20:45
saw
20:45
sales
20:45
increases
20:46
last
20:46
month.
20:47
Brick
20:47
Meets
20:48
Click
20:48
attributed
20:49
November's
20:49
online
20:50
grocery
20:50
sales
20:51
growth
20:51
to
20:51
higher
20:52
order
20:52
frequency
20:53
users
20:54
selecting
20:54
multiple
20:55
receiving
20:55
methods
20:56
as
20:56
well
20:57
as
20:57
higher
20:57
spending
20:58
rates.
20:58
Chris,
20:59
what
20:59
are
20:59
your
20:59
thoughts
20:59
on
21:00
the
21:00
reported
21:00
$12.3
21:01
billion
21:02
in
21:02
e
21:02
grocery
21:03
volume
21:03
in
21:03
November?
21:05
Oh,
21:05
and
21:06
I'm
21:06
absolutely
21:06
gobsmacked
21:07
by
21:07
this.
21:07
This
21:08
statistic.
21:08
This
21:08
thing
21:09
stopped
21:09
me
21:09
in
21:09
my
21:09
tracks.
21:11
This
21:11
headline
21:12
in
21:12
in
21:13
concert
21:13
with
21:13
the
21:13
conversation
21:14
we
21:14
had
21:14
with
21:14
Chad
21:15
last
21:15
week
21:15
on
21:15
our
21:15
annual
21:16
award
21:16
show.
21:16
In
21:17
addition
21:17
to
21:17
conversations
21:18
I've
21:18
had
21:18
with
21:18
many
21:18
other
21:19
people
21:19
via
21:19
Zoom
21:19
in
21:20
the
21:20
last
21:20
few
21:20
weeks,
21:21
my
21:21
head
21:21
is
21:21
completely
21:22
flipped
21:22
on
21:23
what's
21:23
happening.
21:23
I
21:23
alluded
21:24
to
21:24
it
21:24
before
21:24
and
21:24
I
21:24
think,
21:25
I
21:25
think
21:25
I
21:26
and
21:26
I
21:26
purposely
21:26
want
21:26
to
21:27
put
21:27
these
21:27
two
21:27
headlines
21:28
right
21:28
next
21:28
to
21:28
each
21:28
other
21:29
because
21:29
I
21:29
think
21:29
there's
21:29
a
21:29
lot
21:30
that
21:30
can
21:30
be
21:30
gleaned
21:31
from
21:31
what
21:31
we
21:31
just
21:32
talked
21:32
about
21:32
in
21:32
terms
21:33
of
21:33
its
21:33
applicability
21:33
to
21:34
this
21:34
headline
21:34
too.
21:34
Because
21:35
here's
21:36
the
21:36
crazy
21:36
thing
21:36
about
21:37
this
21:37
statistic
21:37
is
21:38
consumers
21:39
are
21:39
budget
21:39
constrained.
21:40
No
21:40
doubt
21:41
about
21:41
it.
21:41
Everyone's
21:42
reporting
21:42
it.
21:43
E
21:43
grocery
21:44
should
21:44
not
21:44
be
21:45
going
21:45
up
21:46
because
21:47
it's
21:47
the
21:47
more
21:48
expensive
21:48
way
21:48
to
21:48
get
21:49
your
21:49
groceries.
21:49
Like
21:50
it
21:50
shouldn't
21:50
be
21:50
happening
21:51
if
21:51
you're
21:51
budget
21:51
constrained.
21:52
So
21:52
then
21:53
you
21:53
have
21:53
to
21:53
ask
21:53
yourself,
21:53
why
21:54
is
21:54
that?
21:54
You
21:55
know,
21:55
is
21:55
it
21:55
the
21:55
time
21:56
savings
21:56
that
21:56
allows
21:57
you
21:57
to.
21:57
That
21:57
gives
21:58
you
21:58
back
21:58
as
21:58
a
21:58
consumer,
21:59
can
21:59
you
21:59
redeploy
21:59
your
22:00
efforts
22:00
and
22:00
your
22:00
resources
22:00
into
22:01
something
22:01
else?
22:02
Or
22:02
is
22:02
it
22:03
the
22:03
increasing
22:04
level
22:04
of
22:04
price
22:04
transparency
22:05
when
22:05
you're
22:06
reordering
22:06
the
22:06
same
22:06
items,
22:07
going
22:07
or
22:08
getting
22:08
in
22:08
the
22:08
habit
22:08
of
22:08
ordering
22:09
them
22:09
time
22:09
and
22:09
time
22:10
again
22:10
from
22:10
places
22:11
that
22:11
you
22:11
trust,
22:11
like
22:11
Walmart,
22:12
where
22:12
the
22:12
loyalty
22:13
programs
22:13
are
22:13
very
22:14
well
22:14
understood.
22:15
And
22:15
my
22:15
hunch
22:16
is
22:16
it's
22:16
some
22:16
combination
22:17
of
22:17
the
22:17
both
22:17
that's
22:18
driving
22:18
this
22:18
increase
22:19
in
22:19
behavior
22:20
as
22:20
well
22:20
as
22:20
just
22:20
the
22:21
general
22:21
acclimation
22:22
of
22:22
the
22:22
younger
22:22
generations
22:23
to
22:23
online
22:23
grocery
22:24
as
22:24
well.
22:25
Which
22:25
is
22:25
why
22:25
I
22:25
go
22:26
back
22:26
to
22:26
what
22:26
I
22:26
said
22:26
in,
22:27
you
22:27
know,
22:27
the
22:27
last
22:27
headline
22:28
with
22:28
when
22:29
it
22:29
comes
22:29
to
22:29
agentic
22:30
AI
22:31
online,
22:32
in
22:32
grocery,
22:32
in
22:33
E
22:33
Grocery,
22:33
it
22:34
is
22:34
going
22:34
to
22:34
explode.
22:35
If
22:35
we're
22:35
already
22:35
seeing
22:36
this
22:36
behavior
22:36
now,
22:37
when
22:37
you
22:38
add
22:38
agentic
22:38
onto
22:39
it,
22:39
it's
22:39
going
22:39
to
22:39
be
22:39
one
22:39
plus
22:40
one
22:40
equals
22:40
three
22:40
in
22:40
terms
22:41
of
22:41
the
22:41
exponential
22:41
impact.
22:42
So
22:43
because
22:43
the
22:43
one
22:43
axiom,
22:44
and
22:44
you've
22:44
already
22:44
said
22:44
it
22:44
on
22:45
the
22:45
show
22:45
once,
22:45
the
22:45
one
22:45
axiom
22:46
you
22:46
can
22:46
take
22:46
to
22:46
the
22:46
bank,
22:47
which
22:47
we
22:47
talk
22:47
about
22:47
on
22:47
the
22:48
show
22:48
all
22:48
the
22:48
time,
22:49
we
22:49
talk
22:49
about
22:50
it
22:50
a
22:50
lot,
22:50
is
22:50
everything
22:51
always
22:51
gravitates
22:52
towards
22:52
the
22:53
lowest
22:53
price
22:53
when
22:54
everything
22:54
else
22:54
is
22:55
equal.
22:55
And
22:56
for
22:56
the
22:56
Kraft
22:56
macaroni
22:57
and
22:57
cheese
22:58
box,
22:58
there's
22:58
no
22:59
difference
22:59
in
22:59
it
22:59
between
23:00
where
23:00
you
23:00
want
23:00
to
23:00
buy
23:01
it.
23:01
And
23:01
so
23:01
all
23:01
things
23:02
are
23:02
equal.
23:02
And
23:02
that's
23:03
how
23:03
things
23:03
are
23:03
going
23:04
to
23:04
evolve.
23:06
Yeah,
23:06
I
23:06
think
23:06
the
23:06
one
23:07
thing
23:07
that
23:07
I
23:07
wish
23:08
we
23:08
had
23:08
more
23:08
visibility
23:09
to
23:09
in
23:10
this
23:10
data
23:10
set
23:10
is
23:11
how
23:11
much
23:11
of
23:11
this
23:11
is
23:12
buy
23:12
online
23:12
pickup
23:12
and
23:12
so
23:13
store.
23:14
And
23:14
the
23:14
reason
23:14
that
23:15
I
23:15
say
23:15
that
23:15
is
23:15
because
23:17
I
23:17
think
23:18
that
23:18
is
23:19
there's
23:19
no
23:20
cost
23:20
for
23:20
that.
23:20
You
23:21
know,
23:21
like
23:21
e
23:22
that's
23:22
considered
23:22
e
23:22
grocery
23:23
but
23:23
that's
23:23
going
23:24
to
23:24
pick
23:24
up
23:24
your
23:24
groceries
23:25
which
23:25
I
23:25
think
23:26
a
23:26
lot
23:26
of
23:26
people
23:27
have
23:27
started,
23:27
a
23:27
lot
23:28
more
23:28
people
23:28
have
23:28
started
23:28
to
23:29
do.
23:29
That's
23:29
what
23:29
we're
23:30
hearing
23:30
from
23:31
a
23:31
lot
23:31
of
23:31
the
23:31
grocery
23:32
retailers
23:32
out
23:32
there
23:32
that
23:33
they've
23:33
increased
23:33
curbside
23:34
pickup
23:35
capacity
23:35
from
23:36
Target
23:36
to
23:36
Walmart
23:37
to
23:37
Albertsons
23:38
to
23:38
H
23:38
E
23:39
B.
23:39
Like
23:39
everybody's
23:40
working
23:40
on
23:40
how
23:40
to
23:41
do
23:41
this
23:41
because
23:41
they're
23:42
in
23:42
a
23:42
lot
23:42
of
23:43
ways
23:43
it
23:43
is,
23:44
it
23:44
is
23:45
the
23:45
easiest
23:45
way
23:45
for
23:46
me
23:46
to
23:46
get
23:46
my
23:46
groceries.
23:47
And
23:47
if
23:48
you
23:48
look
23:48
at
23:48
I
23:48
mean
23:49
your,
23:49
your
23:49
re
23:50
your
23:50
most
23:50
recent
23:50
grocery
23:51
experiences,
23:52
I'd
23:52
be
23:52
interested
23:53
in
23:53
polling
23:53
the
23:54
listeners
23:54
and
23:54
even
23:55
curious
23:55
for
23:56
from
23:56
your
23:56
perspective
23:57
Chris,
23:57
like
23:57
has
23:58
your
23:58
grocery
23:58
experience
23:59
in
23:59
store
24:00
been
24:00
a
24:00
good
24:01
one
24:01
as
24:01
of
24:01
late?
24:01
Like
24:02
it
24:02
seems
24:02
like
24:02
to
24:03
me
24:03
that
24:03
there's
24:04
been
24:04
you
24:04
know,
24:05
shortage
24:05
of
24:05
staff.
24:06
There's
24:06
sometimes
24:07
stuff
24:07
isn't
24:08
in
24:08
stock
24:08
and
24:08
then
24:08
you
24:08
have
24:09
to
24:09
go
24:09
ask
24:09
somebody.
24:10
At
24:10
least
24:10
when
24:10
I'm
24:11
ordering
24:11
groceries
24:12
online
24:12
I
24:13
know
24:13
right
24:13
away
24:14
here's
24:14
what
24:14
is
24:15
available
24:15
and
24:16
here's
24:16
what's
24:16
not.
24:17
What's
24:17
not
24:17
available.
24:18
It's,
24:19
it's
24:19
the
24:19
fastest
24:20
possible
24:20
way
24:21
for
24:21
me
24:21
to
24:21
get
24:22
that
24:23
that
24:23
to
24:23
do
24:24
checked
24:24
off
24:24
my
24:24
list
24:25
for
24:25
the
24:25
week
24:25
is
24:26
either
24:26
ordering
24:26
online
24:27
or
24:27
doing
24:27
buy
24:27
online
24:28
pickup
24:28
in
24:28
store.
24:29
Plus
24:29
I
24:29
think
24:29
you
24:30
have
24:30
a
24:30
lot
24:30
of
24:30
incentives
24:31
that
24:31
have
24:31
been
24:31
kicked
24:31
in
24:31
to
24:32
get
24:32
people
24:33
who
24:33
are,
24:33
who
24:33
have
24:34
maybe
24:34
started
24:34
this
24:34
behavior
24:35
to
24:35
continue
24:36
this
24:36
behavior.
24:37
You
24:37
have
24:37
Target
24:37
giving
24:38
several
24:38
deals
24:38
on
24:39
shipped.
24:39
You
24:39
have
24:40
Walmart
24:40
plus
24:40
giving
24:41
a
24:41
pretty
24:41
significant
24:42
amount
24:43
of
24:43
cash
24:43
back
24:43
in
24:44
Walmart
24:44
cash.
24:44
If
24:45
you
24:45
shop,
24:46
if
24:46
you
24:47
shop,
24:47
you
24:47
know
24:47
from
24:48
as
24:48
a
24:48
Walmart
24:48
plus
24:48
member
24:49
or
24:49
as
24:49
a
24:49
Walmart
24:50
member
24:51
and
24:51
then
24:51
you
24:51
have
24:51
Instacart
24:52
giving
24:52
deals
24:52
to
24:52
SNAP
24:53
participants
24:53
too
24:53
which
24:54
I
24:54
think
24:54
all
24:54
of
24:55
this
24:55
comes
24:55
into
24:56
one
24:56
fueling
24:57
customer
24:57
behavior
24:58
to
24:59
realize
25:00
that
25:00
maybe
25:01
it's
25:01
worth
25:01
a
25:02
little
25:02
bit
25:02
of
25:02
extra
25:02
money
25:03
to
25:03
have
25:03
your
25:03
groceries
25:04
delivered.
25:05
It's,
25:05
it's
25:06
a
25:06
better
25:06
experience
25:07
overall
25:08
when
25:08
you
25:08
just
25:08
come
25:09
pick
25:09
it
25:09
up
25:09
and
25:09
you
25:09
don't
25:10
have
25:10
to
25:10
deal
25:10
with
25:10
going
25:11
and
25:11
walking
25:11
around
25:11
the
25:11
store
25:12
and
25:12
taking
25:12
up
25:12
time.
25:13
And
25:13
I,
25:13
I'd
25:14
be
25:14
curious
25:15
you
25:15
know
25:15
what
25:15
the,
25:16
what
25:16
the
25:16
breakout
25:17
is
25:17
for
25:17
cost
25:18
for
25:18
delivery
25:19
over
25:20
and
25:20
what
25:20
the
25:20
value
25:21
of
25:21
people's
25:21
time
25:22
is
25:22
worth.
25:22
And
25:23
if
25:23
they're
25:23
just
25:23
get
25:24
going
25:24
to
25:24
the
25:24
point
25:24
where
25:25
they're
25:25
like
25:25
this
25:25
is
25:25
something
25:26
that
25:26
I
25:26
don't
25:27
have
25:27
to
25:27
think
25:27
about
25:27
anymore.
25:28
One
25:28
click
25:29
and
25:29
done,
25:29
and
25:29
I
25:30
pick
25:30
it
25:30
up
25:30
on
25:30
my
25:31
schedule
25:31
or
25:31
have
25:31
it
25:32
delivered
25:32
when
25:32
it's
25:32
convenient
25:33
for
25:33
me.
25:34
Yeah,
25:34
I
25:34
think
25:34
what
25:34
I'd
25:34
say
25:35
to
25:35
that
25:35
is,
25:35
you
25:35
know,
25:35
the
25:36
sales
25:36
are
25:36
up
25:36
across
25:36
the
25:36
board.
25:37
So
25:37
your
25:37
point
25:37
about
25:37
curbside
25:38
pickup,
25:38
you
25:38
know,
25:39
potentially,
25:39
but,
25:39
like,
25:40
the
25:40
sales
25:40
are
25:40
up
25:40
across
25:40
the
25:41
board.
25:41
Ship
25:41
to
25:41
home
25:42
delivery.
25:42
Ship
25:43
to
25:43
home
25:43
being.
25:46
I
25:46
can
25:46
never
25:46
remember
25:46
which
25:47
one
25:47
is
25:47
shipped
25:47
to
25:47
home
25:47
and
25:47
which
25:48
one's
25:48
delivery,
25:48
but
25:48
one
25:48
is
25:49
like,
25:49
direct
25:49
from
25:50
Walmart,
25:50
the
25:50
other
25:50
one
25:50
is
25:50
via
25:51
Instacart.
25:52
Um,
25:52
so,
25:52
like,
25:52
you
25:53
know,
25:53
so,
25:53
like,
25:53
it's
25:53
just.
25:54
They're
25:54
up.
25:54
It's
25:54
just
25:54
up
25:55
across
25:55
the
25:55
board,
25:55
which
25:56
is
25:56
just
25:56
absolutely
25:56
insane
25:57
to
25:57
me.
25:57
And
25:57
the
25:58
cost
25:58
for
25:58
that
25:58
stuff
25:58
is
25:59
going
25:59
down.
25:59
Like,
25:59
that's
26:00
a.
26:00
That's
26:00
the
26:00
thing,
26:01
too,
26:01
that
26:01
I
26:01
think
26:01
that
26:02
isn't
26:02
factored
26:03
in.
26:03
Like
26:03
I
26:03
was
26:03
saying,
26:04
like,
26:04
I
26:04
just
26:05
did
26:05
a
26:05
Walmart
26:05
plus
26:06
delivery
26:06
and
26:06
I
26:06
got,
26:07
you
26:07
know,
26:07
$15
26:08
back
26:08
in
26:09
Walmart
26:09
cash
26:09
for
26:10
my
26:10
grocery
26:10
order
26:11
for
26:11
the
26:11
week.
26:11
Like
26:12
that.
26:12
Yeah,
26:12
right
26:12
there.
26:13
98
26:14
for
26:14
the
26:14
Walmart
26:14
plus
26:15
subscription
26:16
at
26:16
some
26:16
point.
26:16
So,
26:17
like,
26:17
I
26:17
don't
26:17
know
26:17
that
26:17
the
26:17
cost
26:18
is
26:18
actually
26:18
going
26:19
down.
26:20
You
26:20
know,
26:20
it
26:21
may
26:21
feel
26:21
that
26:22
way,
26:22
but
26:22
I
26:22
don't
26:23
know
26:23
that
26:23
it
26:23
actually
26:23
is.
26:24
And
26:24
I
26:24
don't
26:24
know
26:24
if
26:24
it
26:25
is
26:25
across
26:25
the
26:26
market
26:26
either.
26:26
Right.
26:27
So
26:27
that's
26:27
the
26:27
other
26:27
point
26:28
of
26:28
this.
26:28
But,
26:28
like,
26:29
you
26:29
know,
26:29
it's
26:29
just.
26:30
It's
26:30
just
26:30
so
26:30
fascinating
26:31
to
26:31
me
26:31
that
26:31
it's
26:32
right
26:32
now
26:33
and
26:33
this
26:34
is
26:34
across
26:34
all
26:34
of
26:34
grocery.
26:35
Right.
26:35
So
26:35
Walmart
26:36
is
26:36
A.
26:36
Is
26:36
25%
26:37
of
26:37
the
26:37
grocery
26:38
business,
26:38
but
26:38
there's
26:38
still
26:39
75%
26:40
that's
26:40
operating
26:40
in
26:41
a
26:41
different
26:41
way,
26:41
too.
26:42
So,
26:42
like,
26:42
man,
26:43
it's
26:43
just.
26:43
It's
26:43
just
26:44
wild.
26:44
All
26:44
right,
26:45
let's
26:45
bring
26:45
David
26:45
Dorff
26:46
onto
26:46
today's
26:46
show
26:47
to
26:47
give
26:47
us
26:47
his
26:47
predictions
26:48
around
26:48
2026
26:50
and
26:50
the
26:50
future
26:50
of
26:50
AI.
26:59
Joining
27:00
us
27:00
once
27:00
again
27:00
for
27:00
five
27:01
insightful
27:01
minutes
27:02
is
27:02
one
27:02
of
27:02
our
27:02
favorite
27:03
recurring
27:03
guests,
27:04
David
27:04
Dorff.
27:05
David
27:05
is
27:05
the
27:05
head
27:06
of
27:06
Retail
27:06
Industry
27:06
Solutions
27:07
at
27:07
aws,
27:08
and
27:08
today
27:08
he
27:08
is
27:08
going
27:09
to
27:09
regale
27:09
us
27:09
with
27:10
his
27:10
AI
27:10
predictions
27:11
for
27:11
2026.
27:12
And
27:12
if
27:13
we
27:13
go
27:13
a
27:13
little
27:13
long
27:14
today,
27:14
I
27:14
will
27:15
take
27:15
full
27:15
response
27:15
to
27:16
responsibility
27:16
because
27:16
you
27:16
will
27:16
want
27:17
to
27:17
hear
27:17
what
27:18
David
27:18
has
27:19
to
27:19
say.
27:19
David,
27:20
welcome
27:20
back
27:20
to
27:20
omnitalk.
27:21
And
27:21
let's
27:21
get
27:21
started
27:22
with
27:22
this.
27:22
You
27:23
said
27:23
in
27:23
a
27:23
recent
27:23
article
27:24
that
27:24
2025
27:25
was
27:26
the
27:26
year
27:26
of
27:26
LLM
27:27
overhype.
27:28
To
27:29
paraphrase.
27:30
That's
27:30
a
27:30
bold
27:30
statement
27:31
given
27:31
all
27:31
the
27:31
noise
27:31
in
27:32
the
27:32
market,
27:32
and
27:32
also
27:33
one
27:33
that
27:33
I
27:33
happen
27:33
to
27:34
agree
27:34
with
27:34
for
27:34
Those
27:34
that
27:34
know
27:34
me
27:35
well.
27:35
So
27:35
what
27:35
makes
27:35
you
27:36
think
27:36
we've
27:36
hit
27:36
a
27:36
plateau?
27:37
And
27:37
where
27:37
do
27:37
you
27:38
see
27:38
real
27:38
gains
27:38
happening
27:39
from
27:39
here
27:39
on
27:39
out?
27:40
So
27:41
it
27:41
was
27:41
just
27:41
a
27:42
couple
27:42
years
27:42
ago
27:42
people
27:42
were
27:43
talking
27:43
about
27:44
artificial
27:44
general
27:45
intelligence
27:45
being
27:45
right
27:45
around
27:46
the
27:46
corner
27:46
and
27:46
I
27:46
think
27:47
we
27:47
got
27:47
a
27:47
little
27:47
bit
27:47
over
27:48
our
27:48
skis
27:48
on
27:48
that
27:48
one.
27:49
LLMs
27:50
are
27:50
tremendously
27:51
powerful,
27:52
but
27:52
the
27:52
idea
27:53
that
27:53
we
27:53
can
27:53
continue
27:53
to
27:54
just
27:54
scale
27:54
up
27:54
the
27:54
data
27:55
doesn't
27:55
actually
27:56
lead
27:56
to
27:56
better
27:56
results.
27:58
So
27:58
one
27:58
of
27:58
the
27:58
things
27:58
is
27:59
that
27:59
LLMs
28:00
will
28:00
incrementally
28:01
improve,
28:01
but
28:02
there
28:02
won't
28:02
be
28:02
exponential
28:03
gains
28:04
with
28:04
the
28:04
current
28:05
technology.
28:06
There
28:06
needs
28:06
to
28:06
be
28:06
a
28:07
new
28:07
architecture
28:08
like
28:08
the
28:08
Google
28:09
Transformer
28:09
that
28:09
started
28:10
the
28:10
whole
28:10
LLM
28:11
thing.
28:12
Something
28:12
like
28:12
maybe
28:13
what's
28:13
going
28:13
on
28:13
with
28:13
world
28:14
models.
28:14
I'm
28:15
not
28:15
a
28:15
scientist
28:15
so
28:15
I
28:16
don't
28:16
go
28:16
that
28:16
deep,
28:17
but
28:17
there's
28:17
some
28:17
cool
28:18
stuff
28:18
brewing
28:18
out
28:18
there
28:18
that
28:19
could
28:19
help
28:19
us
28:19
in
28:19
the
28:19
long
28:20
run.
28:20
But
28:21
in
28:21
the
28:21
meantime
28:22
I
28:22
think
28:23
it's
28:23
better
28:23
to
28:23
focus
28:23
on
28:24
answers
28:24
at
28:24
lower
28:25
costs.
28:26
And
28:26
so
28:26
we
28:26
need
28:27
to
28:27
think
28:27
about
28:27
things
28:27
like
28:28
domain
28:28
specific
28:29
models.
28:30
So
28:30
these
28:30
are
28:30
models
28:31
that
28:31
have
28:31
a
28:31
special
28:32
purpose.
28:32
We've
28:33
already
28:33
seen
28:33
some
28:33
of
28:33
these
28:33
in
28:34
like
28:34
finance
28:35
and
28:35
healthcare
28:36
and
28:36
I'm
28:36
waiting
28:36
for
28:37
some,
28:37
some
28:37
of
28:38
these
28:38
to
28:38
come
28:38
out
28:38
for
28:38
retail.
28:39
One
28:39
of
28:40
the
28:40
things
28:40
that
28:40
we
28:40
just
28:40
announced
28:41
at
28:41
our
28:41
RE
28:41
Invent
28:42
conference
28:42
last
28:42
week
28:42
was
28:43
this
28:43
product
28:44
called
28:44
Nova
28:44
Forge.
28:45
It's
28:45
pretty
28:46
unique.
28:46
We
28:46
take
28:46
a
28:47
half
28:47
trained
28:48
frontier
28:49
model
28:49
and
28:49
hand
28:50
it
28:50
over
28:50
to
28:50
the
28:50
customer
28:51
and
28:51
then
28:51
the
28:51
customer
28:51
can
28:52
finish
28:52
off
28:52
the
28:52
training
28:52
with
28:53
all
28:53
their
28:53
specific
28:54
data.
28:55
So
28:55
think
28:55
about
28:55
using
28:55
that
28:56
for
28:56
something
28:56
like
28:56
a
28:56
product
28:57
catalog.
28:57
We
28:58
have
28:58
a
28:58
really
28:58
tight
28:58
LLM
28:59
that
28:59
really
29:00
knows
29:00
product
29:00
catalog.
29:01
Super,
29:01
super
29:02
well,
29:02
knows
29:02
your
29:02
brand,
29:03
all
29:03
that
29:03
good
29:03
stuff.
29:04
That's
29:04
kind
29:04
of
29:05
where
29:05
I
29:05
think
29:05
we're
29:05
heading
29:06
for
29:06
the
29:06
next
29:06
thing.
29:07
David,
29:07
we
29:08
saw
29:08
this
29:08
flood
29:08
of
29:09
agentic
29:09
commerce
29:10
announcements
29:10
at
29:10
the
29:11
end
29:11
of
29:11
2025.
29:12
I'm
29:12
curious
29:13
what
29:13
your
29:13
take
29:13
was
29:14
on
29:14
all
29:14
the
29:14
announcements
29:15
and
29:15
what
29:15
needs
29:15
to
29:16
happen
29:16
for
29:16
these
29:17
answer
29:17
engines
29:18
to
29:18
really
29:18
become
29:18
a
29:19
meaningful
29:19
channel
29:20
for
29:21
retailers
29:21
rather
29:22
than
29:22
just
29:22
another
29:23
place
29:23
that
29:23
demand
29:24
shifts
29:24
over
29:24
to.
29:25
First
29:25
of
29:25
all,
29:25
I
29:25
think
29:26
flood
29:26
is
29:26
being
29:26
kind.
29:27
It
29:27
was
29:27
more
29:27
of
29:27
a
29:27
tsunami
29:28
actually.
29:28
Yeah.
29:29
Wow.
29:30
I
29:31
was,
29:31
I
29:31
was
29:31
just
29:31
trying
29:32
to
29:32
keep
29:32
track
29:32
of
29:32
all
29:33
the
29:33
things
29:33
that
29:33
were
29:33
going
29:33
on.
29:33
There
29:34
was
29:34
so
29:34
much
29:34
great
29:35
innovation.
29:35
It
29:35
was
29:35
really
29:36
great.
29:36
But
29:37
I,
29:37
I
29:37
would
29:37
sum
29:37
up
29:38
things
29:38
by
29:38
saying
29:39
I
29:39
think
29:39
it
29:39
was
29:40
fantastic
29:40
progress,
29:41
but
29:41
let's
29:41
put
29:42
the
29:42
cake
29:42
back
29:42
in
29:42
the
29:43
oven
29:43
for
29:43
a
29:43
little
29:43
longer.
29:44
Some
29:45
of
29:45
the
29:45
usages
29:45
were
29:46
a
29:46
little
29:46
bit
29:46
clumsy,
29:47
but
29:47
kudos
29:48
to
29:48
Walmart
29:49
and,
29:49
and
29:49
Target
29:50
for
29:50
getting
29:50
their
29:50
implementations
29:51
done
29:51
with
29:51
peak.
29:52
We
29:53
three
29:53
have
29:53
all
29:53
been
29:54
part
29:54
of
29:54
retail.
29:54
And
29:55
we
29:55
know
29:55
November
29:56
is
29:56
a
29:56
crushing
29:56
month
29:57
for
29:58
them
29:58
to
29:58
get
29:58
those
29:58
things
29:58
done.
29:59
I
29:59
really
29:59
know
30:00
that
30:00
was
30:00
tough.
30:01
But
30:01
I
30:01
do
30:01
think
30:01
that
30:02
agentic
30:02
commerce
30:03
is
30:03
going
30:03
to
30:03
continue
30:03
to
30:03
make
30:04
inroads.
30:04
But
30:05
digital
30:05
and
30:05
physical
30:06
commerce
30:06
are
30:06
certainly
30:07
not
30:07
going
30:07
anywhere.
30:08
And
30:09
yes,
30:09
there
30:09
will
30:09
someday
30:10
be
30:10
an
30:10
online
30:10
retailer
30:11
that
30:11
has
30:11
no
30:12
website
30:12
and
30:13
just
30:13
uses
30:13
MCP
30:14
servers
30:14
to
30:14
sell
30:15
things,
30:15
but
30:15
that's
30:16
an
30:16
exception.
30:17
Most
30:17
are
30:17
going
30:17
to
30:17
really
30:18
want
30:18
to
30:18
cater
30:18
to
30:18
both
30:19
humans
30:19
and
30:19
agents.
30:20
And
30:20
by
30:20
the
30:21
way,
30:21
bots
30:21
now
30:22
outnumber
30:22
the
30:23
humans
30:23
on
30:23
the
30:23
Internet.
30:24
As
30:24
of
30:24
last
30:24
month,
30:25
they
30:25
crossed
30:25
the
30:25
line.
30:27
So
30:28
just
30:28
as
30:28
it's
30:28
really
30:28
important
30:29
for
30:29
your
30:29
products
30:29
to
30:30
be
30:30
listed
30:30
in
30:30
search
30:30
results,
30:31
you'll
30:32
also
30:32
want
30:32
to
30:32
be
30:32
listed
30:32
in
30:33
answer
30:33
engines.
30:33
And
30:34
the
30:34
key
30:34
question
30:35
for
30:35
us
30:35
is,
30:36
did
30:36
the
30:37
answer
30:37
engine
30:37
get
30:38
her
30:38
to
30:38
buy
30:38
when
30:39
she
30:39
would
30:39
not
30:39
have
30:39
otherwise?
30:41
And
30:41
today
30:42
I
30:42
would
30:42
say
30:42
no.
30:43
Answer
30:43
engines
30:43
are
30:44
substantially
30:45
similar
30:45
to
30:45
search
30:45
engines,
30:46
and
30:46
that's
30:46
because
30:47
of
30:47
a
30:47
disjointed
30:48
experience.
30:49
But
30:49
if
30:49
you
30:49
look
30:50
at
30:50
Amazon,
30:51
for
30:51
example,
30:52
they're
30:52
seeing
30:52
an
30:52
uplift
30:53
in
30:53
sales
30:54
from
30:54
shoppers
30:54
that
30:54
use
30:55
Rufus
30:56
over
30:56
shoppers
30:56
that
30:56
don't.
30:58
So
30:58
I
30:58
kind
30:58
of
30:59
feel
30:59
like
30:59
if
30:59
you
30:59
get
30:59
the
31:00
experience
31:00
right,
31:00
then
31:01
it
31:01
could
31:01
deliver
31:01
incremental
31:02
sales.
31:03
Got
31:03
it,
31:03
David.
31:03
And
31:03
that
31:03
brings
31:04
up,
31:04
actually
31:04
brings
31:04
up
31:05
the
31:05
next
31:05
question
31:05
I
31:05
was
31:05
going
31:05
to
31:05
ask
31:06
you.
31:06
Because,
31:06
you
31:06
know,
31:06
sometimes
31:07
when
31:07
I
31:07
sit
31:07
back
31:07
and
31:07
I
31:08
think
31:08
about
31:08
everything
31:08
that's
31:08
been
31:08
going
31:09
on,
31:09
I
31:09
just
31:09
wonder
31:09
if
31:10
we're
31:10
just
31:10
reimagining
31:11
search
31:12
first
31:12
and
31:13
foremost.
31:13
Which
31:13
brings
31:14
up
31:14
a
31:14
natural
31:14
tension
31:15
to
31:15
me
31:15
in
31:15
my
31:15
mind,
31:15
like
31:16
there's
31:16
always
31:16
a
31:16
tension
31:17
in
31:17
search
31:17
between
31:17
advertising
31:18
and
31:19
trust.
31:20
So
31:20
how
31:20
do
31:20
you
31:21
predict
31:22
this
31:22
reimagining
31:23
of
31:23
search,
31:23
so
31:23
to
31:23
speak,
31:24
will
31:24
evolve?
31:24
And
31:25
how
31:25
should
31:25
retailers
31:26
think
31:26
about
31:27
this
31:27
tension
31:27
between
31:28
profiting
31:28
from,
31:28
but
31:29
also
31:29
figuring
31:29
out
31:30
how
31:30
to
31:30
participate
31:31
with
31:31
the
31:31
answer
31:32
engines?
31:32
Yeah,
31:33
it's
31:33
very
31:33
expensive
31:34
to
31:34
run
31:34
an
31:34
answer
31:35
engine,
31:35
and
31:35
most
31:35
answer
31:36
engines
31:36
can't
31:36
survive
31:37
on
31:38
consumer
31:38
subscriptions
31:39
alone.
31:39
So
31:40
advertising
31:40
is
31:41
coming
31:42
and
31:42
sponsored
31:43
prompts
31:43
are
31:43
the
31:44
first
31:44
shot
31:44
that
31:44
I've
31:45
seen.
31:45
I
31:45
know
31:45
Amazon's
31:46
doing
31:46
that
31:46
and
31:46
Walmart's
31:47
a
31:47
fast
31:47
follower
31:48
in
31:48
that
31:48
regard.
31:50
Ads
31:50
are
31:50
coming
31:51
and
31:51
it's
31:51
going
31:51
to
31:51
result
31:52
in
31:52
a
31:52
loss
31:52
of
31:53
trust
31:53
for
31:54
some
31:54
savvy
31:55
consumers.
31:55
But
31:55
we've
31:55
been
31:55
dealing
31:56
that
31:56
for
31:56
a
31:56
while
31:56
and
31:56
as
31:57
you
31:57
mentioned,
31:57
Chris,
31:57
this
31:57
is
31:58
an
31:58
echo
31:58
of
31:58
search.
31:59
It's
31:59
not
32:00
just
32:00
the
32:00
ads.
32:01
Also,
32:01
it's
32:02
answer
32:02
engine
32:03
optimization.
32:03
Companies
32:04
figuring
32:04
out
32:04
how
32:05
to
32:05
manipulate
32:05
LLMs
32:06
as
32:06
well.
32:07
Right.
32:07
Just
32:07
like
32:08
they
32:08
did
32:08
with
32:08
search
32:08
engines.
32:09
So
32:09
if
32:09
you
32:09
think
32:10
about
32:10
it,
32:10
Chat
32:10
GPT
32:11
is
32:11
notoriously
32:13
known
32:13
for
32:13
loving
32:14
top
32:14
10
32:14
lists.
32:15
So
32:15
retailers
32:15
have
32:16
figured
32:16
out,
32:16
hey,
32:16
if
32:16
I
32:17
publish
32:17
a
32:17
bunch
32:17
of
32:17
blogs
32:18
with
32:18
top
32:18
10
32:18
lists,
32:18
I
32:19
put
32:19
my
32:19
products
32:19
at
32:19
the
32:19
top.
32:20
More
32:21
chance
32:21
that
32:21
I'll
32:22
be
32:22
mentioned
32:22
by
32:22
an
32:22
answer
32:23
engine.
32:23
So
32:23
there's
32:24
already
32:24
a
32:24
lot
32:24
of
32:24
manipulation
32:25
going
32:25
on,
32:26
but
32:26
it's
32:26
not
32:27
new.
32:27
We've
32:28
dealt
32:28
with
32:28
this
32:28
with
32:28
search
32:29
engines
32:29
and
32:30
consumers
32:30
will
32:30
figure
32:31
it
32:31
out.
32:31
This
32:31
is
32:31
an
32:31
ongoing
32:32
battle
32:32
that
32:33
dates
32:33
back
32:34
to
32:34
Mad
32:34
Men,
32:34
right?
32:35
Yeah.
32:36
So
32:36
David,
32:36
how
32:36
optimistic
32:37
then
32:37
are
32:37
you
32:38
about
32:38
shopping
32:39
agents
32:39
actually
32:39
delivering
32:40
time
32:40
savings
32:41
and
32:41
how
32:41
do
32:42
you
32:42
envision
32:42
them
32:42
giving
32:43
or
32:44
gaining
32:44
consumer
32:45
trust
32:45
really,
32:46
and
32:46
consumer
32:46
adoption
32:47
if
32:47
ever?
32:48
That's
32:48
where
32:48
we
32:48
diverge
32:49
a
32:49
little
32:49
bit
32:49
from
32:49
answer
32:50
engines
32:50
to
32:51
kind
32:51
of
32:52
standalone
32:52
shopping
32:53
agents.
32:53
And
32:54
I
32:54
definitely
32:54
predict
32:55
that
32:55
third
32:55
parties
32:56
are
32:56
going
32:56
to
32:56
start
32:56
offering
32:56
these
32:57
shopping
32:57
agent
32:57
subscriptions
32:58
that
32:58
are
32:59
going
32:59
to
32:59
automate
33:00
some
33:00
select
33:01
shopping
33:01
tasks.
33:02
And
33:02
I
33:02
think
33:03
it's
33:03
going
33:03
to
33:03
start
33:03
with
33:03
delivery
33:04
companies
33:04
like
33:05
Instacart
33:05
and
33:05
DoorDash
33:06
because
33:06
they
33:06
already
33:07
look
33:07
across
33:07
multiple
33:08
sources
33:08
for
33:09
their
33:09
products.
33:09
Right.
33:10
And
33:10
they
33:10
already
33:10
have
33:10
the
33:10
delivery
33:11
infrastructure.
33:12
So
33:12
they
33:12
might
33:13
start
33:13
with
33:13
that
33:13
answer
33:14
engine
33:14
integration
33:14
like
33:15
Instacart
33:15
has
33:16
done.
33:16
But
33:16
I
33:16
think
33:17
they
33:17
will
33:17
eventually
33:18
offer
33:18
their
33:18
own
33:19
agents
33:19
that
33:19
are
33:19
personalized
33:20
to
33:20
your
33:21
tastes
33:21
and
33:21
that's
33:22
the
33:22
big
33:22
value
33:22
add.
33:23
So
33:23
they'll
33:24
know
33:24
your
33:24
favorite
33:24
restaurants,
33:25
your
33:26
favorite
33:26
orders,
33:27
the
33:27
grocery
33:27
items
33:28
you
33:28
typically
33:28
buy.
33:29
They'll
33:29
find
33:29
the
33:29
best
33:30
prices
33:30
and
33:30
they'll
33:31
use
33:31
coupons.
33:32
That's
33:33
where
33:33
a
33:33
lot
33:33
of
33:33
that
33:33
time
33:34
savings
33:34
is
33:34
going
33:34
to
33:35
come.
33:35
I
33:36
also
33:36
think
33:36
there's
33:37
going
33:37
to
33:37
be
33:37
more
33:37
focus
33:37
on
33:38
outcomes
33:39
over
33:39
products.
33:40
So
33:40
you're
33:41
going
33:41
to
33:41
say
33:41
things
33:41
like
33:42
plan
33:42
a
33:43
birthday
33:43
party
33:43
with
33:44
a
33:44
pirate
33:44
theme
33:45
and
33:45
shop
33:45
for
33:45
the
33:46
items
33:46
and
33:46
it'll
33:46
do
33:46
that
33:47
for
33:47
you.
33:47
Or
33:47
I
33:47
want
33:47
a
33:47
dinner
33:48
party
33:48
for
33:48
eight
33:49
with
33:49
a
33:49
French
33:49
bistro
33:50
theme
33:50
or
33:51
something
33:51
like
33:51
that
33:51
and
33:52
the
33:52
agent
33:52
will
33:52
go
33:52
off
33:53
and
33:53
grab
33:53
all
33:54
those
33:54
items
33:54
and
33:54
have
33:54
them
33:55
delivered
33:55
to
33:55
you.
33:55
That's
33:56
interesting.
33:56
I
33:56
just
33:56
heard
33:56
today
33:57
actually
33:57
that
33:57
UBS
33:58
is
33:58
predicting
33:59
that
33:59
grocery
34:00
will
34:00
be
34:00
the
34:00
first
34:00
industry
34:01
hit
34:01
by
34:02
agentic
34:02
commerce,
34:03
particularly
34:03
from
34:03
a
34:03
commerce
34:04
perspective,
34:04
which,
34:05
you
34:05
know,
34:05
is
34:05
kind
34:05
of
34:05
the
34:05
flip
34:06
side
34:06
of
34:06
how
34:06
we
34:06
saw
34:06
E
34:07
commerce
34:07
commerce
34:07
develop
34:08
overall.
34:08
So.
34:08
So,
34:09
all
34:09
right,
34:09
so
34:09
let's
34:09
get
34:09
you
34:10
out
34:10
here
34:10
on
34:10
this.
34:11
We've
34:11
talked
34:11
a
34:11
lot
34:12
about
34:12
the
34:12
consumer
34:12
facing
34:13
side
34:13
of
34:13
generative
34:14
AI
34:14
already.
34:15
But
34:15
what's
34:16
your
34:16
take
34:16
on
34:16
how
34:16
agents
34:17
will
34:17
transform
34:18
internal
34:19
retail
34:19
operations
34:20
in
34:20
2026?
34:21
Yeah,
34:21
here's
34:22
where
34:22
I
34:22
think
34:22
the
34:22
crystal
34:23
ball
34:23
gets
34:23
a
34:23
little
34:23
clearer
34:24
because,
34:24
you
34:25
know,
34:25
consumers
34:25
are
34:25
pretty
34:25
fickle,
34:26
but
34:26
companies
34:26
are
34:27
all
34:27
about
34:27
increasing
34:28
efficiency
34:29
and
34:29
that's
34:29
kind
34:30
of
34:30
the
34:30
sweet
34:30
spot
34:30
for
34:30
AI.
34:31
So
34:31
retailers
34:32
are
34:32
definitely
34:32
going
34:33
to
34:33
start
34:33
deploying
34:33
these
34:33
agents
34:34
that
34:34
leverage
34:34
reasoning
34:35
to
34:36
assist
34:36
with
34:36
things
34:36
like
34:37
merchandising,
34:37
marketing
34:38
and
34:38
supply
34:38
chain
34:39
processes.
34:40
We'll
34:40
start
34:40
with
34:40
a
34:41
lot
34:41
of
34:41
human
34:41
in
34:41
the
34:41
loop
34:42
as
34:42
we
34:42
gain
34:42
confidence,
34:43
which
34:43
makes
34:43
a
34:43
lot
34:44
of
34:44
sense.
34:44
And
34:45
one
34:45
example
34:46
is
34:46
last
34:46
week
34:46
at
34:46
Re
34:47
Invent
34:47
we
34:47
announced
34:47
three
34:48
New
34:48
Frontier
34:48
agents
34:49
covering
34:50
developers,
34:51
security
34:51
and
34:52
cloud
34:52
ops.
34:53
And
34:53
that's
34:53
kind
34:53
of
34:53
the
34:54
first
34:54
start.
34:55
I
34:55
think
34:55
we're
34:55
going
34:55
to
34:56
start
34:56
to
34:56
see
34:56
a
34:56
lot
34:56
of
34:57
new
34:57
agents
34:57
and
34:57
it's
34:58
inevitable
34:58
that
34:58
they'll
34:59
start
34:59
with
34:59
horizontal
35:00
agents
35:00
that
35:00
work
35:01
across
35:01
lots
35:01
of
35:01
industries.
35:02
But
35:02
eventually
35:03
we'll
35:03
get
35:03
to
35:03
industry
35:04
specific
35:04
agents
35:05
that
35:05
can
35:05
really
35:06
help
35:06
people
35:06
in
35:06
places
35:07
like
35:07
merchandising.
35:08
And
35:09
I
35:09
wouldn't
35:09
be
35:09
surprised
35:09
if
35:10
eventually
35:10
your
35:10
SaaS
35:11
subscription
35:11
for
35:12
some
35:12
application
35:13
comes
35:13
with
35:13
agents
35:14
that
35:14
help
35:14
you
35:14
run
35:14
that
35:15
application
35:16
that
35:16
that
35:16
could
35:16
be
35:17
coming
35:17
up
35:17
soon
35:17
in
35:17
the
35:17
future
35:18
as
35:18
well.
35:19
And
35:19
then
35:19
I
35:19
also
35:19
want
35:20
to
35:20
mention
35:20
we
35:20
just
35:20
announced
35:21
partnership
35:21
with
35:22
Visa
35:23
around
35:23
agentic
35:24
payments
35:25
and
35:25
I
35:25
think,
35:25
yeah,
35:26
this
35:26
works
35:26
for
35:26
B2B
35:27
and
35:27
B2C.
35:28
I
35:28
think
35:28
B2B
35:29
is
35:29
going
35:29
to
35:29
be
35:29
the
35:29
big
35:30
impact
35:30
because
35:30
I
35:31
can
35:31
imagine
35:31
the
35:31
whole
35:32
purchase
35:32
order,
35:33
inventory,
35:33
receiving,
35:34
invoice,
35:34
match
35:35
payment,
35:35
all
35:35
that
35:36
stuff
35:36
can
35:36
be
35:37
easily
35:37
handled
35:37
by
35:37
an
35:37
agent
35:38
that's
35:38
checking
35:38
all
35:39
the
35:39
policies,
35:39
making
35:40
sure
35:40
everything's
35:40
been
35:41
done
35:41
right
35:41
and
35:42
then
35:42
making
35:43
a
35:43
payment
35:43
without
35:43
having
35:44
to
35:44
do
35:44
checks
35:45
and
35:45
things
35:45
like
35:45
that.
35:46
So
35:47
I
35:47
think,
35:47
I
35:47
think
35:47
that's
35:48
going
35:48
to
35:48
have
35:48
a
35:48
big
35:48
impact
35:48
on
35:49
the
35:49
back
35:49
end
35:49
as
35:50
well.
35:50
Amazing
35:50
stuff.
35:51
David,
35:51
what
35:51
are
35:51
your
35:51
plans
35:51
for
35:52
NRF
35:52
before
35:52
we
35:53
let
35:53
you
35:53
really
35:53
go?
35:54
Yeah,
35:54
so
35:55
I'll
35:55
be
35:55
in
35:55
the
35:56
booth
35:56
and
35:56
hanging
35:57
around
35:57
on
35:57
the
35:57
floor.
35:58
We're
35:58
in
35:58
booth
35:58
4438
35:59
this
36:00
year
36:00
and
36:00
then
36:01
also
36:01
want
36:01
to
36:01
give
36:02
a
36:02
shout
36:02
out
36:02
to
36:02
Super
36:03
Saturday.
36:03
So
36:03
the
36:03
retail
36:04
ROI
36:04
folks
36:05
have
36:05
their
36:07
special
36:07
conference
36:07
on
36:07
the
36:08
Saturday
36:08
before
36:08
NRF
36:09
that's
36:09
free
36:09
for
36:09
retailers
36:10
to
36:10
attend.
36:10
It's
36:11
great
36:11
for
36:11
people
36:11
to
36:12
go
36:12
there
36:12
as
36:12
well.
36:12
I'm
36:12
a
36:12
big
36:13
supporter,
36:13
did
36:14
a
36:14
trip
36:14
to
36:14
Honduras
36:15
with
36:15
the
36:15
gang
36:15
and
36:15
handed
36:16
out
36:16
Tom's
36:16
shoes
36:17
once
36:17
and
36:18
it's
36:18
a,
36:18
it's
36:18
a
36:18
great
36:19
time
36:20
to
36:20
really
36:20
learn
36:20
about
36:20
retail
36:21
tech
36:21
but
36:21
also
36:22
hear
36:22
about
36:22
some
36:23
people
36:23
that
36:23
are
36:23
less
36:23
fortunate.
36:24
Such
36:24
a
36:25
great
36:25
capstone
36:25
to
36:25
2026
36:26
for
36:26
us
36:26
too.
36:27
Really
36:27
appreciate
36:27
you
36:27
coming
36:28
on.
36:32
Headline
36:33
number
36:33
four,
36:33
Target
36:33
has
36:34
unveiled
36:34
a
36:35
Soho
36:35
store
36:35
concept
36:36
featuring
36:36
curated
36:37
beauty
36:37
and
36:37
apparel.
36:38
Serves
36:39
me
36:39
right
36:39
for
36:39
trying
36:39
to
36:39
dig
36:39
up
36:40
all
36:40
the
36:40
different
36:40
figures
36:41
from
36:41
that
36:41
article
36:41
in
36:42
the
36:42
last
36:42
headline.
36:43
The
36:43
store
36:44
concept
36:44
from
36:44
Target
36:45
features
36:45
a
36:45
rotating
36:46
showcase
36:46
of
36:46
seasonal
36:47
styles
36:47
on
36:47
the
36:47
floor,
36:47
floor
36:49
on
36:49
the
36:49
first
36:49
floor
36:50
I
36:50
should
36:50
say
36:50
called
36:51
quote
36:51
the
36:51
drop
36:52
and
36:53
a
36:53
Broadway
36:54
beauty
36:54
bar.
36:54
Good
36:54
alliteration
36:55
Target
36:55
with
36:56
changing
36:56
selections
36:56
curated
36:57
by
36:57
beauty
36:57
influencers
36:58
and
36:58
a
36:58
gifting
36:59
gondola.
37:00
Wow.
37:01
Cancel
37:01
Christmas.
37:02
We've
37:02
got
37:02
a
37:02
ton
37:02
of
37:02
alliteration
37:03
folks
37:03
for
37:03
the
37:04
holidays
37:04
with
37:04
exclusive
37:05
Target
37:05
branded
37:05
merchandise.
37:06
Target's
37:07
updated
37:07
space
37:07
also
37:08
includes
37:08
a
37:08
seasonal
37:08
edit
37:09
edit
37:10
called
37:10
Curated
37:11
Buy,
37:12
which
37:12
features
37:13
selections
37:13
in
37:13
partnership
37:14
with
37:14
influential
37:15
people,
37:15
starting
37:15
with
37:16
comedian
37:16
and
37:16
actress
37:17
Megan
37:17
Stalter,
37:18
who,
37:19
sadly,
37:19
I
37:19
actually
37:19
do
37:20
not
37:20
know
37:20
who
37:20
that
37:20
is.
37:20
And
37:21
maybe
37:21
you
37:21
do.
37:21
The
37:22
store
37:22
also
37:22
has
37:22
a
37:23
selfie
37:23
checkout
37:24
spot
37:24
encouraging
37:24
customers
37:25
to
37:25
take
37:25
photos
37:26
with
37:26
their
37:26
haul.
37:27
And
37:27
are
37:28
you
37:28
buying
37:28
or
37:28
selling
37:28
Target's
37:29
new
37:29
Soho
37:30
concept
37:30
store?
37:32
Before
37:32
I
37:32
answer
37:33
one
37:33
thing
37:33
that
37:33
I
37:34
think
37:34
it
37:34
was
37:34
not
37:35
clear
37:35
to
37:35
me.
37:35
This
37:36
is
37:36
not
37:36
a
37:36
pop
37:36
up.
37:37
This
37:37
is
37:37
a
37:37
permanent
37:38
store,
37:38
which
37:38
I
37:39
realized
37:40
and
37:40
I
37:40
had
37:40
to
37:40
be
37:41
corrected.
37:42
This
37:42
is,
37:43
this
37:44
is
37:44
a
37:44
permanent
37:44
store
37:45
that
37:45
Target
37:45
plans
37:46
to
37:46
use
37:46
as
37:46
a
37:47
lab
37:47
to
37:47
evolve,
37:48
test
37:48
and
37:48
change
37:49
so
37:50
that,
37:51
that
37:51
I
37:51
wanted
37:51
to
37:51
make
37:52
sure
37:52
that
37:52
our
37:52
audience
37:52
is
37:53
clear
37:53
on,
37:53
because
37:54
I
37:54
was
37:54
not.
37:55
But
37:55
now
37:55
comes
37:56
the
37:56
challenging
37:56
task,
37:57
I
37:57
think
37:57
of
37:57
taking
37:58
this
37:58
concept
37:58
and
37:59
the
37:59
data
37:59
that
37:59
they're
38:00
learning
38:00
about
38:00
who
38:00
shops
38:01
it
38:01
and
38:01
how
38:02
and
38:02
figuring
38:03
out
38:03
how
38:04
Target
38:04
is
38:04
going
38:05
to
38:05
evolve
38:05
this
38:05
into
38:06
2,000
38:07
stores
38:08
or
38:08
some
38:08
segment
38:09
thereof,
38:10
their
38:10
2,000
38:11
stores.
38:11
And
38:12
most
38:12
importantly,
38:12
I
38:13
think
38:13
that
38:13
before
38:14
that
38:14
happens,
38:15
Target
38:15
has
38:15
to
38:15
look
38:16
very
38:16
closely
38:17
at
38:17
the
38:17
technology
38:17
that
38:18
it's
38:18
going
38:18
to
38:18
need
38:18
to
38:18
invest
38:19
in
38:19
to
38:19
make
38:20
those
38:20
rollouts
38:21
successful.
38:23
This
38:23
store,
38:24
you
38:24
know,
38:24
is
38:24
very,
38:25
based
38:25
on
38:26
the
38:26
photos
38:26
that
38:26
we've
38:26
seen
38:26
and
38:27
we'll
38:27
go
38:27
see
38:27
it
38:27
in
38:27
New
38:28
York,
38:28
I'm
38:28
sure,
38:28
but,
38:29
but
38:30
you
38:30
know,
38:30
it
38:30
doesn't.
38:31
There's
38:31
nothing
38:32
store
38:33
tech
38:33
in
38:34
like
38:34
inserted
38:35
into
38:35
this.
38:35
It's
38:35
very
38:35
much
38:36
about
38:36
the
38:36
product.
38:36
So
38:37
I
38:37
think
38:37
that's
38:37
going
38:37
to
38:37
be
38:38
something
38:38
that
38:38
they're
38:39
going
38:39
to
38:39
have
38:39
to
38:39
think
38:39
about
38:40
as
38:40
they
38:40
need
38:40
to
38:41
operationalize
38:42
this.
38:42
If
38:43
they
38:43
can
38:43
accomplish
38:44
that,
38:45
if
38:45
they
38:45
can
38:46
do
38:46
that
38:46
and
38:46
get
38:47
this
38:47
set
38:47
up
38:47
for
38:47
scale
38:48
success,
38:49
I'm
38:49
buying
38:50
it.
38:50
And
38:50
I
38:50
think
38:50
it'll
38:51
bode
38:51
well
38:52
for
38:52
the
38:52
direction
38:52
that
38:52
Fidelke
38:53
plans
38:53
to
38:53
take
38:53
the
38:54
company
38:54
in.
38:55
Since
38:55
this
38:55
was
38:55
kind
38:55
of
38:56
one,
38:56
one
38:56
of
38:56
his
38:57
first,
38:57
you
38:57
know,
38:58
projects
38:58
that
38:58
he
38:59
was
38:59
kind
38:59
of
38:59
like
39:00
interim
39:00
CEO
39:01
on,
39:02
I
39:03
think
39:03
it
39:03
makes
39:03
sense.
39:03
The
39:04
concept
39:04
store
39:04
is
39:04
carrying
39:05
great
39:05
products
39:06
in
39:06
limited
39:06
quantities.
39:07
It's
39:07
localized
39:08
and
39:08
it's
39:08
coming
39:08
at
39:09
a
39:09
time
39:09
when
39:09
I
39:09
think
39:10
most
39:10
importantly
39:11
there's
39:11
going
39:11
to
39:11
be
39:11
a
39:11
big
39:12
hole
39:12
in
39:12
a
39:13
lot
39:13
of
39:13
Target
39:13
stores
39:13
once
39:14
Ulta
39:14
departs.
39:15
And
39:15
so
39:15
I
39:15
think
39:15
if
39:15
they
39:16
could
39:16
figure
39:16
out
39:16
how
39:17
to
39:18
scale
39:18
this
39:18
concept
39:19
effectively,
39:19
it
39:20
could
39:20
be
39:20
a
39:20
really
39:21
good
39:21
thing
39:21
to
39:21
kind
39:21
of
39:22
put
39:22
into
39:22
the
39:22
Target
39:23
store
39:23
to
39:23
get
39:24
people
39:25
interested
39:26
in
39:26
shopping,
39:26
especially
39:27
their
39:27
key
39:27
categories
39:28
like
39:28
Beauty,
39:29
apparel
39:30
and
39:30
other
39:31
giftable
39:31
items.
39:32
So
39:33
this,
39:33
if
39:33
there's
39:33
one
39:34
project
39:34
right
39:34
now
39:34
that
39:35
I'd
39:35
love
39:35
to
39:35
sink
39:35
my
39:35
teeth
39:36
into,
39:36
I
39:36
think
39:36
this
39:37
would
39:37
be
39:37
it
39:38
because
39:38
I,
39:38
I
39:38
think
39:39
there's
39:39
a
39:39
lot
39:40
things
39:40
that
39:40
Target
39:41
will
39:41
have
39:41
to
39:41
inject
39:42
into
39:42
this
39:42
to
39:42
really
39:43
make
39:43
it
39:43
successful
39:44
for
39:44
the
39:44
store
39:45
rollout.
39:45
But
39:46
where,
39:46
what
39:46
are
39:47
you
39:47
buying
39:47
or
39:47
are
39:48
you
39:48
selling?
39:49
I'm
39:49
selling
39:50
it
39:50
hard.
39:50
I'm
39:50
selling
39:51
it
39:51
hard.
39:51
In
39:51
fact,
39:51
if,
39:52
if
39:52
we
39:52
hadn't
39:53
talked
39:53
about
39:53
this
39:53
headline,
39:54
I
39:54
don't
39:54
think
39:54
it
39:54
even
39:54
makes
39:55
my
39:55
top
39:55
five
39:55
for
39:55
the
39:55
week.
39:56
I
39:56
think
39:56
it's
39:56
pure
39:57
PR
39:57
sizzle
39:58
and
39:58
I
39:58
say
39:58
it's
39:59
pure
39:59
PR
39:59
sizzle
39:59
for
40:00
a
40:00
number
40:00
of
40:00
reasons.
40:00
I
40:00
think
40:00
number
40:01
one,
40:01
it's
40:01
in
40:01
New
40:01
York
40:02
City,
40:02
which
40:02
is
40:03
just
40:03
not
40:04
endemic
40:04
to
40:04
or
40:05
not
40:05
representative
40:05
of
40:06
like
40:06
your
40:06
Target
40:07
operation
40:07
overall.
40:08
So
40:08
it's
40:08
not
40:08
where
40:08
I
40:08
would
40:09
put
40:10
a
40:10
concept
40:10
store,
40:11
quite
40:11
frankly,
40:11
because
40:12
there's
40:12
so
40:12
many
40:12
dynamics
40:13
at
40:13
play
40:13
in
40:13
New
40:13
York
40:13
City
40:14
that
40:14
don't
40:14
pertain
40:14
to
40:14
your
40:14
overall
40:15
operation.
40:16
Sure
40:16
the
40:16
pictures
40:17
look
40:17
great,
40:18
but
40:18
you're
40:18
not
40:19
going
40:19
to
40:19
learn
40:19
anything
40:19
long
40:20
term
40:20
operationally
40:21
because
40:21
the
40:21
ideas
40:22
being
40:22
tested
40:23
here
40:23
are
40:24
never
40:24
going
40:24
to
40:24
scale
40:24
whether
40:25
it's
40:25
a
40:25
pop
40:25
up
40:25
or
40:26
not
40:26
a
40:26
pop
40:26
up.
40:27
Because
40:27
target,
40:28
no
40:28
100%
40:29
target
40:29
needs
40:29
to
40:30
move
40:30
more
40:30
units
40:31
and
40:31
pictures
40:31
of
40:32
beauty
40:32
bars
40:32
and
40:33
more
40:33
boutique
40:33
experiences.
40:34
Always
40:34
look
40:35
good
40:35
in
40:35
photos.
40:36
Always
40:36
look
40:36
good
40:37
in
40:37
photos,
40:37
especially
40:37
in
40:38
New
40:38
York.
40:38
But
40:39
Target
40:39
doesn't
40:39
have
40:40
the
40:40
margins
40:40
to
40:40
sell
40:41
products
40:41
with
40:41
so
40:42
little
40:42
on
40:42
display.
40:43
Unless
40:44
to
40:44
your
40:44
point,
40:45
they
40:45
operate
40:45
the
40:46
store
40:46
on
40:46
a
40:46
completely
40:47
different
40:47
operational
40:48
platform
40:48
and
40:49
business
40:49
model,
40:49
which
40:49
for
40:50
the
40:50
most
40:50
part
40:50
it
40:51
doesn't
40:51
appear
40:51
there's
40:52
any
40:52
representation
40:53
that
40:53
that
40:53
is
40:53
the
40:53
case.
40:54
So
40:54
net
40:54
net,
40:55
at
40:55
the
40:55
end
40:55
of
40:55
the
40:55
day,
40:56
this
40:56
is
40:57
still
40:57
going
40:57
to
40:57
be
40:57
a
40:57
marketing
40:58
installation
40:58
when
40:59
all
40:59
is
40:59
said
40:59
and
40:59
done
41:00
at
41:00
best
41:01
because
41:01
it's
41:01
not
41:01
designed
41:02
for
41:02
scale
41:02
and
41:03
it's
41:03
going
41:03
to
41:03
take
41:03
more
41:03
money
41:04
than
41:04
the
41:04
average
41:05
Target
41:05
store
41:05
can
41:05
afford
41:06
to
41:06
keep
41:06
it
41:06
looking
41:07
the
41:07
way
41:07
it
41:07
does.
41:08
That's
41:08
another
41:08
point.
41:09
And
41:09
lastly,
41:09
this
41:10
thing
41:10
just
41:10
drives
41:10
me
41:10
crazy.
41:11
The
41:11
selfie
41:12
checkout,
41:12
that
41:13
Idea
41:13
is
41:13
like
41:13
10
41:14
years
41:14
old
41:14
already.
41:15
And
41:15
so
41:15
when
41:15
we're
41:16
leaning
41:16
into
41:16
that,
41:17
it
41:17
just
41:17
gets
41:17
me,
41:18
gets
41:18
me
41:18
shaking
41:18
my
41:19
head
41:19
again.
41:19
And
41:19
I
41:19
don't
41:20
want
41:20
to
41:20
be
41:20
shaking
41:20
my
41:20
head
41:20
again
41:21
every
41:21
week.
41:22
But
41:22
you
41:22
know,
41:23
that's
41:23
just,
41:23
I
41:23
just,
41:24
I
41:24
just
41:24
can't
41:24
get
41:24
on
41:25
board
41:25
with
41:25
this.
41:26
Yeah,
41:26
I
41:26
think
41:27
the,
41:27
the,
41:27
the
41:28
other
41:28
thing
41:28
that
41:29
I
41:29
look
41:29
at,
41:29
Chris,
41:29
when
41:30
I,
41:30
I
41:30
see
41:31
somebody
41:31
else
41:31
doing
41:32
something
41:32
similar
41:32
was
41:33
the
41:33
Walmart
41:33
New
41:34
York
41:34
Fashion
41:34
Week
41:34
pop
41:34
up.
41:35
They
41:35
did
41:35
that
41:36
with
41:36
two
41:36
brands
41:36
and
41:37
their
41:37
plan.
41:37
Walmart's
41:38
plan
41:38
is
41:38
to
41:38
do
41:39
the
41:39
same
41:39
thing.
41:39
We're
41:39
testing
41:40
this
41:40
pop
41:40
up
41:41
in
41:41
New
41:41
York
41:42
and
41:42
then
41:42
we're
41:42
figuring
41:43
out
41:43
what
41:43
the
41:43
products
41:44
are.
41:44
We're
41:44
going
41:44
to
41:44
roll
41:45
this
41:45
out
41:45
and
41:45
we're
41:45
going
41:45
to
41:46
change
41:46
our
41:46
scoop
41:47
and
41:47
free
41:47
assembly
41:48
experiences
41:49
in
41:49
store
41:50
by
41:50
the
41:50
end
41:51
of
41:51
next
41:51
year.
41:51
Denise
41:52
and
41:52
Candela
41:52
said
41:53
to
41:53
get
41:53
an
41:54
understanding
41:54
of
41:55
how
41:55
to
41:55
bring
41:55
newness
41:56
and
41:56
product
41:56
to
41:57
customers.
41:57
So
41:58
I,
41:58
I,
41:59
I
41:59
don't
41:59
know.
41:59
I
41:59
think
42:00
but
42:00
that's
42:00
smart
42:01
and
42:01
because
42:01
that's
42:01
a
42:02
smart,
42:02
that's
42:02
a.
42:02
First
42:02
of
42:03
all
42:03
it
42:03
is
42:03
a
42:03
pop
42:03
up,
42:04
It's
42:04
a
42:04
pop
42:04
up
42:05
designed
42:05
to
42:05
understand
42:06
the
42:07
product
42:07
that
42:07
you're
42:07
putting
42:08
in
42:08
your
42:08
fashion
42:09
assortment
42:09
which
42:10
will
42:10
then
42:10
go
42:10
into
42:10
and
42:11
informed
42:11
a
42:11
portion
42:12
of
42:12
the
42:12
Walmart
42:13
store
42:13
versus
42:14
taking
42:14
an
42:14
entire
42:15
store
42:15
operation
42:16
and
42:16
trying
42:17
to
42:17
pivot
42:17
in
42:17
this
42:18
direction.
42:18
Those
42:19
are
42:19
two
42:19
very
42:20
different
42:20
sides
42:20
of
42:21
the
42:21
coin.
42:21
Oh,
42:22
I
42:22
don't
42:22
see
42:22
it
42:22
that
42:23
different.
42:23
I
42:23
think
42:23
that
42:24
this
42:24
store.
42:24
Yes,
42:25
this,
42:25
the
42:25
only
42:25
difference
42:25
to
42:26
me
42:26
is
42:26
that
42:26
it's
42:26
a
42:27
pop
42:27
up
42:27
versus
42:27
an
42:28
of
42:28
long
42:28
standing
42:29
store.
42:29
And
42:29
again
42:30
if
42:30
you're
42:30
looking
42:30
at
42:30
your
42:31
competitor,
42:32
you
42:32
know,
42:32
if
42:32
Target's
42:32
competitor
42:33
Walmart
42:33
is
42:33
doing
42:34
pop
42:34
ups
42:34
to
42:34
test
42:35
this
42:35
theory
42:35
and
42:36
you're
42:36
doing
42:36
a
42:36
full
42:37
time
42:37
store
42:37
to
42:37
test
42:38
this
42:38
theory,
42:38
you're
42:39
going
42:39
about
42:39
it
42:39
two
42:40
different
42:40
routes.
42:41
But
42:41
I
42:41
still
42:42
think
42:42
that
42:42
Target's
42:43
putting,
42:43
I
42:43
mean
42:43
it's
42:43
all
42:44
Target
42:44
product.
42:44
They're
42:45
figuring
42:45
out
42:45
how
42:45
to,
42:46
how
42:46
they
42:46
can
42:47
take
42:47
this
42:47
moment
42:48
in
42:48
New
42:48
York
42:48
and
42:48
extend
42:49
it
42:49
across
42:49
2,000
42:50
stores.
42:50
I
42:50
think
42:51
is,
42:51
is
42:51
a,
42:52
is
42:52
a
42:52
worthwhile
42:53
endeavor.
42:53
I
42:53
think
42:54
it's
42:54
a
42:54
new
42:54
way
42:54
to
42:55
showcase
42:55
Target
42:55
product
42:56
and
42:56
maybe
42:57
they
42:57
can
42:57
use,
42:57
maybe
42:58
they'll
42:58
have
42:58
some
42:58
of
42:58
the
42:58
shine
42:59
of
42:59
this
42:59
New
42:59
York
43:00
experience
43:01
to,
43:01
to
43:02
like
43:02
give
43:02
the
43:02
people
43:03
in
43:03
the
43:03
middle
43:03
of
43:03
the
43:03
country.
43:04
I,
43:04
I
43:04
don't
43:04
know.
43:05
Again,
43:05
there's
43:06
a
43:06
lot
43:06
that
43:06
has
43:06
to
43:06
go
43:06
right
43:07
in
43:07
order
43:07
for
43:07
this
43:08
to
43:08
be
43:08
successful.
43:09
But,
43:09
but
43:10
I,
43:10
I
43:10
don't,
43:11
I'd
43:11
like
43:11
to
43:11
see
43:12
this
43:13
I
43:13
guess
43:14
concept
43:14
coming
43:15
from
43:15
Target.
43:15
I'd
43:16
like
43:16
to
43:16
see
43:16
them
43:16
figure
43:16
out
43:17
how
43:17
they're
43:17
going
43:17
to
43:17
get
43:18
people
43:18
to
43:19
fall
43:19
in
43:19
love
43:19
again
43:20
with
43:20
the
43:20
brand.
43:21
But
43:21
you
43:22
know,
43:22
taking
43:22
that
43:23
New
43:23
York
43:23
concept
43:23
and
43:24
scaling
43:24
it
43:24
is,
43:25
is
43:25
a
43:25
big
43:25
project.
43:26
It
43:26
is
43:26
for
43:26
sure.
43:27
All
43:27
right,
43:28
let's
43:28
go
43:28
to
43:28
headline
43:28
number
43:29
five,
43:29
Ashley.
43:30
The
43:30
furniture
43:30
brand
43:30
is
43:31
partnering
43:31
with
43:31
Perplexity
43:32
and
43:32
PayPal
43:32
to
43:33
allow
43:33
customers
43:33
to
43:34
ask
43:34
for
43:34
product
43:34
recommendations,
43:36
add
43:36
items
43:36
to
43:36
cart
43:37
and
43:37
complete
43:37
payment
43:38
in
43:38
a
43:38
single
43:38
step.
43:39
According
43:39
to
43:39
retail
43:40
dive,
43:40
shoppers
43:40
can
43:41
request
43:41
product
43:41
recommendations,
43:42
view
43:42
curated
43:43
options
43:44
and
43:44
add
43:44
items
43:45
to
43:45
their
43:45
cart
43:45
and
43:45
complete
43:46
a
43:46
payment
43:46
transaction
43:47
in
43:47
one
43:47
continuous
43:48
conversation.
43:49
Quote.
43:50
As
43:50
more
43:50
customers
43:50
begin
43:51
their
43:51
furniture
43:51
search
43:52
on
43:52
AI
43:52
platforms
43:53
such
43:53
as
43:53
Perplexity.
43:54
This
43:54
new
43:55
capability
43:55
positions
43:56
Ashley
43:56
at
43:56
the
43:56
forefront
43:57
of
43:57
agentic
43:58
commerce,
43:58
end
43:58
quote.
43:59
The
43:59
company
43:59
said
44:00
in
44:00
a
44:00
press
44:00
release.
44:01
Chris,
44:02
you
44:02
have
44:02
been
44:02
saying
44:02
for
44:03
the
44:03
past
44:03
few
44:03
weeks
44:03
that
44:03
we
44:04
all
44:04
need
44:04
to
44:04
slow
44:04
our
44:04
roll
44:05
with
44:05
agentic
44:05
commerce.
44:06
So
44:06
where
44:06
do
44:06
you
44:06
come
44:06
down
44:07
on
44:07
the
44:07
decision
44:07
from
44:07
Ashley
44:08
to
44:08
plug
44:08
directly
44:09
into
44:09
Perplexity?
44:11
Yeah,
44:12
this
44:12
might
44:12
surprise
44:12
people,
44:12
but
44:13
I
44:13
actually
44:13
love
44:13
this.
44:14
I
44:14
think,
44:14
I
44:14
think
44:14
this
44:15
is
44:15
a
44:15
really
44:15
smart
44:15
move
44:16
because
44:16
I
44:16
think
44:16
it
44:16
plays
44:16
to
44:17
Ashley's
44:17
strengths.
44:18
It's
44:18
really
44:18
thoughtful
44:19
when
44:19
you
44:19
think
44:19
about
44:19
it
44:20
because
44:21
if
44:21
you
44:21
know
44:21
the
44:21
furniture
44:21
business
44:22
as
44:22
I
44:22
do
44:22
or
44:22
I've
44:23
spent
44:23
a
44:23
lot
44:23
of
44:23
time
44:23
in,
44:24
then
44:24
you
44:24
know
44:25
that
44:25
Ashley
44:25
is
44:25
one
44:26
of
44:26
the
44:26
very
44:26
few
44:26
brands
44:27
that
44:27
actually
44:27
has
44:28
search
44:28
value.
44:28
There
44:28
aren't
44:29
very
44:29
many
44:29
in
44:29
the
44:29
home
44:29
furnishing
44:30
space.
44:31
So
44:31
present
44:32
day,
44:32
if
44:32
you
44:32
look
44:32
at
44:32
present
44:33
day,
44:33
exclusive
44:34
of
44:34
AI,
44:35
they're
44:35
landing
44:35
that
44:36
search
44:36
value
44:36
either
44:36
on
44:37
their
44:37
own
44:37
site
44:37
or
44:38
the
44:38
big
44:38
marketplaces.
44:39
Wayfair,
44:39
Walmart,
44:40
Amazon,
44:40
heck,
44:41
even
44:41
Target,
44:41
as
44:41
I
44:42
was
44:42
the
44:42
DMM
44:42
that
44:43
brought
44:43
Ashley
44:43
into
44:44
the
44:44
Target
44:44
assortment
44:45
back
44:45
in
44:45
the
44:45
day.
44:46
And
44:47
so
44:47
now
44:47
with
44:47
Agentic
44:48
AI,
44:48
Ashley
44:49
is
44:49
saying
44:49
why
44:49
do
44:50
I
44:50
need
44:50
all
44:50
those
44:50
marketplaces?
44:51
Like
44:51
why
44:51
don't
44:52
I
44:52
as
44:52
a
44:52
manufacturer?
44:53
Because
44:53
that's
44:53
really
44:54
what
44:54
they
44:54
are.
44:54
They're
44:54
more
44:54
the
44:55
manufacturer,
44:55
the
44:56
wholesaler
44:56
here.
44:56
Yeah,
44:56
I
44:57
had
44:57
no
44:57
idea
44:57
until
44:58
you
44:58
mentioned
44:59
that.
44:59
Yeah,
45:00
yeah.
45:00
And
45:00
so
45:01
why,
45:01
why,
45:01
why
45:02
should
45:02
I,
45:02
why
45:03
do
45:03
I
45:03
need
45:03
all
45:03
those
45:03
marketplaces
45:04
when
45:04
I
45:04
can
45:04
just
45:04
plug
45:05
in
45:05
directly
45:05
and
45:06
find
45:06
all
45:06
those
45:06
efficiencies
45:07
myself?
45:07
On
45:08
home
45:08
furnishings
45:08
products
45:09
which
45:09
generally
45:09
are
45:09
more
45:10
consideration
45:11
based,
45:11
they're
45:11
higher
45:11
consideration
45:12
purchases
45:12
than
45:13
say
45:13
like
45:13
grocery
45:13
like
45:13
we
45:14
talked
45:14
about
45:14
in
45:14
headlines
45:14
two,
45:15
two
45:15
and
45:15
three.
45:16
So
45:16
it's
45:16
in
45:17
a,
45:17
the
45:17
crazy
45:18
thing
45:18
about
45:18
it
45:18
too,
45:18
it's
45:19
an
45:19
approach
45:19
that
45:19
few
45:20
in
45:20
the
45:20
furniture
45:21
industry
45:21
can
45:21
actually
45:22
take,
45:23
but
45:23
Ashley
45:24
can
45:24
because
45:24
of
45:25
its
45:25
brand
45:25
recognition.
45:26
And
45:26
that
45:26
is
45:26
the
45:26
brilliance
45:27
of
45:27
it.
45:27
So
45:27
I
45:27
really,
45:28
really,
45:28
really,
45:28
really
45:28
like
45:29
this
45:29
move.
45:31
I,
45:31
I
45:31
agree.
45:32
I
45:32
think
45:32
it's,
45:33
you
45:33
know,
45:33
I'm,
45:34
I'm
45:34
always
45:34
going
45:35
to
45:35
be
45:35
for
45:36
trying
45:36
every
45:37
possible
45:39
option
45:39
to
45:39
figure
45:40
to
45:40
test
45:40
your
45:41
brand
45:41
in
45:42
and
45:42
around
45:43
these
45:43
AI
45:44
search
45:44
engines
45:45
because
45:45
I
45:45
think
45:45
we
45:45
still
45:46
don't
45:46
know
45:47
which
45:47
one
45:47
is
45:48
going
45:48
to
45:48
land
45:48
where
45:49
consumer
45:49
behavior
45:50
is
45:50
going
45:50
to
45:50
land.
45:51
And
45:51
so
45:51
I
45:51
think
45:51
in
45:52
this
45:52
case
45:52
where
45:53
when
45:53
you,
45:53
you
45:53
have
45:53
somebody
45:54
using
45:54
perplexity
45:55
for
45:56
things
45:56
like
45:56
groceries,
45:57
like
45:57
you
45:57
said
45:57
Chris,
45:57
you
45:58
have
45:58
somebody
45:58
using
45:58
perplexity
45:59
to,
45:59
you
46:00
know,
46:00
help
46:00
figure
46:01
out,
46:01
you
46:01
know,
46:01
what
46:01
the,
46:02
what
46:02
their
46:02
meal
46:03
plan
46:03
is
46:03
for
46:03
the
46:03
week.
46:03
And
46:04
now
46:04
they
46:04
can
46:04
go
46:05
to
46:05
the
46:05
same
46:05
spot
46:06
to
46:06
find
46:07
furniture
46:08
or
46:08
upload
46:08
photos
46:09
like
46:09
they're
46:10
doing
46:10
on
46:10
Google
46:10
Image
46:11
search
46:11
right
46:11
now
46:11
where
46:12
they're
46:12
like,
46:12
I,
46:12
like,
46:12
I
46:13
saw
46:13
this
46:13
couch
46:14
at
46:14
West
46:14
Elm.
46:15
Find
46:15
me
46:15
a
46:15
couch
46:16
like
46:16
this
46:16
that,
46:17
you
46:17
know,
46:17
that
46:17
is
46:17
similar
46:18
at
46:18
other
46:18
retailers.
46:19
How
46:19
do
46:19
I
46:20
get
46:20
something
46:20
like
46:20
this
46:21
that
46:21
maybe
46:21
meets
46:22
my
46:22
budget?
46:22
I,
46:23
I
46:23
absolutely
46:24
love
46:24
that.
46:25
I
46:25
do
46:25
have
46:25
a
46:25
bone
46:26
to
46:26
pick
46:26
though,
46:27
with
46:27
all
46:27
of
46:28
these
46:28
companies
46:29
talking
46:29
about
46:30
their
46:30
search
46:31
functions
46:31
that
46:31
they're
46:32
deploying.
46:33
Every
46:33
retailer
46:34
that
46:34
we
46:34
have
46:34
talked
46:34
about,
46:35
including
46:35
Ashley,
46:36
if
46:36
you
46:36
go
46:36
on
46:36
Perplexity
46:37
right
46:37
now,
46:37
I
46:37
tried
46:38
to
46:38
use
46:38
this
46:38
and
46:39
I
46:39
tried
46:39
to
46:39
search
46:40
for
46:40
an
46:40
Ashley
46:41
product,
46:41
it
46:41
doesn't
46:42
work.
46:42
I
46:42
even
46:42
asked
46:43
Perplexity,
46:43
I
46:43
said,
46:44
can
46:45
you
46:45
find
46:45
me
46:46
Ashley
46:46
Furniture
46:47
or
46:47
can
46:47
you
46:48
find,
46:48
you
46:48
know,
46:49
a
46:49
mid
46:49
century
46:50
modern
46:50
couch
46:50
on
46:50
Ashley
46:51
Furniture?
46:51
And
46:52
it
46:52
said
46:52
no.
46:53
Same
46:53
thing
46:53
happened
46:53
with
46:54
Target's
46:54
GPT
46:55
during
46:55
the
46:55
holidays.
46:56
Like,
46:57
stop
46:57
putting
46:57
these
46:58
messages
46:58
out
46:58
there
46:59
unless
46:59
you're
46:59
very
47:00
explicit
47:00
about
47:01
how
47:01
people
47:01
are
47:01
supposed
47:02
to
47:02
engage
47:02
with
47:02
them.
47:02
Because
47:03
it
47:03
is
47:03
a.
47:04
I,
47:04
I
47:04
do
47:05
think
47:05
like
47:05
we're
47:05
in
47:06
such
47:06
a
47:06
volatile
47:07
time
47:07
right
47:07
now
47:07
where
47:08
if
47:08
I
47:08
try
47:08
something
47:09
and
47:09
it
47:09
doesn't
47:09
work,
47:10
I'm
47:10
not
47:10
going
47:10
back
47:11
and
47:11
I'm
47:11
not
47:11
going
47:11
to
47:11
do
47:12
that
47:12
again.
47:13
So
47:13
I
47:13
think
47:13
that's
47:13
the
47:14
thing
47:14
for
47:14
me.
47:14
Like,
47:15
I
47:15
get
47:15
that
47:16
all
47:16
these
47:16
retailers
47:16
want
47:17
to
47:17
be
47:17
out
47:17
there
47:18
and
47:18
talking
47:18
about
47:19
their
47:19
experimentation,
47:20
but
47:20
please
47:21
be
47:21
clear
47:22
about
47:23
whether
47:23
this
47:23
is
47:23
in
47:23
beta,
47:24
whether
47:24
this
47:25
is
47:25
a
47:25
select
47:25
number
47:25
of
47:26
users
47:26
that
47:26
can
47:26
have
47:27
this
47:27
experience,
47:27
because
47:28
right
47:29
now
47:29
it's
47:29
like,
47:30
it's
47:30
very
47:30
confusing
47:31
and
47:31
I
47:31
think
47:31
that
47:32
you
47:32
have
47:32
a,
47:32
you're
47:33
at
47:33
risk
47:33
of
47:34
losing
47:34
custom
47:35
who
47:35
may
47:36
really
47:36
benefit
47:37
from
47:37
some
47:37
of
47:37
these
47:38
services
47:38
that
47:38
you're
47:38
providing.
47:39
So
47:39
that's,
47:40
that's
47:40
my
47:40
rant
47:41
about
47:41
the
47:42
AI
47:42
search
47:43
engine
47:43
testing
47:44
that's
47:44
going
47:44
on
47:45
right
47:45
now.
47:45
I
47:45
like
47:45
that
47:45
it's
47:46
happening.
47:46
Ashley
47:47
gets
47:47
a
47:47
lot
47:47
of
47:47
kudos
47:48
for
47:48
doing
47:48
this.
47:48
I
47:48
think
47:48
like
47:49
you
47:49
said,
47:49
it
47:49
makes
47:49
total
47:49
sense
47:50
given
47:51
that
47:51
they
47:51
are,
47:52
you
47:52
know,
47:52
a
47:53
wholesaler
47:53
in
47:54
addition
47:54
to
47:55
having
47:55
their
47:55
own
47:56
stores.
47:56
But
47:57
man,
47:58
I
47:58
just
47:58
really
47:58
want
47:59
to,
47:59
I,
47:59
I
47:59
wish
48:00
that
48:00
they
48:00
would
48:00
be
48:00
more
48:00
clear
48:01
about
48:01
how
48:01
this
48:02
is
48:02
supposed
48:02
to
48:02
work
48:02
and
48:03
as
48:03
a
48:03
consumer,
48:03
what
48:04
this
48:04
is
48:04
going
48:04
to
48:04
look
48:04
like
48:05
for.
48:05
Me,
48:06
a
48:06
hundred
48:06
percent.
48:07
I
48:07
think
48:07
your
48:07
rant
48:07
is
48:07
a
48:08
hundred
48:08
%
48:08
justified
48:09
and
48:09
100%
48:10
it
48:10
is,
48:10
you
48:10
know,
48:11
like,
48:11
yeah,
48:12
you
48:12
gotta,
48:12
you
48:13
gotta
48:13
do
48:13
it
48:13
right?
48:14
You
48:14
know,
48:14
which
48:14
again
48:15
goes
48:15
back
48:15
to
48:15
the
48:15
conversation
48:16
we're
48:16
having
48:16
around
48:16
peak.
48:16
Like,
48:17
like
48:17
even
48:17
Ashley,
48:18
I'd
48:18
hit
48:18
Ashley
48:18
on
48:18
this.
48:19
Why
48:19
are
48:19
you
48:19
announcing
48:19
this
48:19
in
48:20
November?
48:21
Like,
48:21
and
48:21
you're
48:22
trying
48:22
to
48:22
go
48:22
and
48:22
find
48:22
it.
48:22
It
48:23
doesn't
48:23
make
48:23
sense,
48:23
right?
48:23
You
48:24
should,
48:24
you
48:24
should,
48:24
you
48:25
should
48:25
be
48:25
doing
48:25
this
48:25
in
48:25
like
48:26
January,
48:26
February,
48:27
March,
48:27
like
48:28
off
48:28
peak
48:28
furniture
48:29
times.
48:29
I
48:29
mean,
48:29
you're
48:29
kind
48:30
of
48:30
off
48:30
peak
48:30
furniture
48:31
time,
48:31
really,
48:31
honestly.
48:32
So
48:32
maybe
48:32
it's
48:32
not
48:32
the
48:32
worst,
48:33
Ashley.
48:33
To
48:34
try
48:34
because
48:34
they,
48:35
they
48:35
cycle
48:35
a
48:36
bit
48:36
differently.
48:36
But
48:36
yeah,
48:36
you
48:36
got
48:37
to
48:37
get
48:37
it
48:37
right
48:37
if
48:37
you're
48:38
gonna
48:38
do.
48:38
It.
48:39
Yeah,
48:39
yeah.
48:40
Message
48:41
correctly.
48:42
All
48:42
right,
48:42
let's
48:43
go
48:43
to
48:43
the
48:43
lightning
48:44
round.
48:44
Chris.
48:45
Actor,
48:45
entrepreneur,
48:46
mobile
48:47
pioneer.
48:48
90s
48:48
film
48:48
star.
48:48
Rhino.
48:49
Ryan
48:49
Reynolds.
48:50
I
48:50
guess
48:50
he's
48:50
still
48:50
a
48:51
film.
48:51
Star.
48:51
90s
48:52
film.
48:52
Star.
48:53
He
48:53
was
48:53
really,
48:53
he
48:54
really
48:54
came
48:54
online
48:55
for
48:55
me
48:55
in
48:55
the
48:55
90s.
48:57
He
48:57
will
48:57
take
48:58
the
48:58
stage
48:58
as
48:58
one
48:58
of
48:59
the
48:59
keynotes
48:59
at
48:59
NRF
49:00
this
49:00
year.
49:00
If
49:00
you
49:00
could
49:00
ask
49:01
him
49:01
one
49:02
question,
49:02
what
49:02
would
49:03
it.
49:03
Be?
49:04
Oh.
49:04
Man.
49:04
This.
49:05
I.
49:06
Oh,
49:06
God.
49:07
I
49:08
think
49:08
this
49:08
word.
49:08
I
49:09
think
49:09
I'd
49:09
put
49:09
him
49:09
on
49:09
the
49:09
spot
49:10
a
49:10
little
49:10
bit.
49:10
I'd
49:10
be
49:10
like,
49:11
you
49:11
know,
49:11
what's
49:12
your
49:12
wife's
49:12
favorite?
49:12
What's
49:13
your
49:13
favorite
49:13
film
49:13
role
49:14
of
49:14
your
49:14
wife?
49:14
It's
49:14
got
49:15
to
49:15
be
49:15
the
49:15
town,
49:15
right?
49:16
And
49:16
I
49:16
would
49:16
literally
49:16
ask
49:17
him
49:17
the
49:17
town
49:17
part
49:18
at
49:18
the
49:18
end
49:18
because
49:19
I
49:19
love
49:19
her
49:19
in
49:20
that
49:20
movie.
49:20
That
49:21
movie
49:21
is
49:21
so
49:22
awesome.
49:22
That
49:22
movie
49:23
is
49:23
so
49:23
great.
49:24
Oh,
49:24
man.
49:24
The
49:24
90s,
49:25
what
49:25
do
49:25
you
49:25
go
49:25
back
49:25
to?
49:25
Is
49:26
like
49:26
Canadian
49:26
television.
49:27
I
49:27
remember
49:27
him
49:27
from
49:27
Van
49:28
Wilder.
49:28
Which
49:28
is
49:29
like
49:29
Van
49:29
Wilder.
49:30
Oh,
49:30
maybe
49:31
it
49:31
was
49:31
2000s.
49:32
Yeah,
49:32
I
49:32
guess
49:33
that's
49:33
probably
49:33
it.
49:34
But
49:34
it
49:35
felt
49:35
like
49:35
late
49:35
90s,
49:36
early
49:36
2000s.
49:37
Van
49:37
Wilder.
49:38
Oh,
49:38
man.
49:38
That'S.
49:39
Yeah.
49:41
Not
49:41
necessarily
49:42
appropriate
49:42
for
49:42
today's
49:43
generation
49:43
and
49:44
all
49:44
the.
49:44
The
49:44
social
49:45
mores,
49:45
but.
49:46
But
49:46
definitely
49:47
a
49:47
movie
49:47
that
49:47
doesn't
49:47
get
49:47
talked
49:48
about
49:48
enough.
49:48
All
49:48
right,
49:49
next
49:49
one.
49:49
Last
49:49
week,
49:49
the
49:50
last
49:50
week,
49:50
the
49:51
largest
49:51
ever
49:51
gathering
49:52
of
49:52
golden
49:52
retrievers
49:53
occurred
49:54
in
49:54
Buenos
49:54
Aires.
49:55
And
49:55
if
49:55
you
49:55
could
49:56
have
49:56
any
49:56
four
49:56
legged
49:57
creature,
49:57
creature,
49:58
nine
49:58
silly
49:58
canine
49:59
creature
50:00
join
50:00
your
50:00
family,
50:01
what
50:01
four
50:01
legged
50:02
creature
50:02
would
50:02
you
50:03
want
50:03
it
50:03
to.
50:03
Be?
50:04
It
50:05
would
50:05
be
50:05
a
50:05
dog.
50:06
I
50:06
think
50:06
I
50:07
just,
50:07
I.
50:07
We
50:08
get
50:08
my
50:08
son's
50:08
allergic,
50:09
but
50:09
he
50:09
just
50:10
made
50:10
a
50:10
presentation
50:11
for
50:11
me
50:11
on
50:11
his
50:12
little
50:12
Google
50:12
Power
50:13
Slide.
50:13
PowerPoint
50:14
slides
50:15
about
50:16
a
50:16
new
50:16
breed
50:16
called
50:17
like
50:17
an
50:17
F1B
50:18
or
50:18
F1B1
50:20
or
50:20
something,
50:20
which
50:20
is
50:21
a
50:21
golden
50:21
doodle
50:22
crossed
50:22
with
50:22
poodle.
50:23
That
50:23
is
50:23
supposed
50:23
to
50:24
be
50:24
the
50:24
most
50:24
hypoallergenic
50:25
dog
50:27
that
50:27
exists
50:28
right
50:28
now.
50:28
They're
50:29
very
50:29
adorable,
50:29
but
50:30
it's
50:31
still
50:31
not
50:31
happening.
50:34
You
50:34
still
50:34
said
50:35
no,
50:36
I
50:37
crushed
50:37
his
50:37
little
50:38
heart
50:38
at
50:38
Christmas
50:38
time.
50:39
I
50:39
did.
50:41
But
50:41
yeah,
50:41
I
50:42
just.
50:42
We're
50:42
not.
50:42
We're
50:43
not
50:43
the
50:43
people
50:43
that
50:44
can
50:44
care
50:44
properly
50:44
for
50:45
a
50:45
dog.
50:45
I
50:45
would
50:45
love
50:46
to
50:46
like
50:46
rent
50:46
a
50:47
dog
50:47
and
50:47
just
50:47
have
50:48
it
50:48
on
50:48
occasion.
50:48
And
50:49
then,
50:50
you
50:50
know,
50:51
I'd
50:51
have
50:51
to
50:51
give
50:52
it.
50:52
To.
50:52
You
50:52
can
50:52
do
50:53
that.
50:53
They
50:53
have
50:53
Services
50:53
where
50:54
you
50:54
could
50:54
do
50:54
that
50:54
for
50:54
the
50:54
weekend
50:55
if
50:55
you.
50:55
Wanted.
50:55
Well,
50:56
I
50:56
am
50:56
going
50:56
to
50:56
take
50:57
him.
50:57
They're
50:57
doing
50:58
puppy
50:58
yoga
50:59
in
50:59
Minneapolis,
51:00
and
51:00
they
51:00
are
51:00
doing
51:01
an
51:01
F1B
51:02
puppy
51:02
yoga
51:02
class.
51:03
So
51:03
I
51:03
figured
51:03
that's
51:04
going
51:04
to
51:04
be.
51:04
That
51:05
will
51:05
be
51:05
his
51:05
Christmas
51:06
present.
51:06
That
51:06
will
51:06
kind
51:07
of.
51:07
Kind
51:08
of
51:08
do
51:08
that.
51:08
And
51:09
then
51:09
it's
51:09
just
51:09
going
51:09
to
51:09
be
51:10
awful
51:10
after
51:10
because
51:10
he'll
51:11
be
51:11
so
51:11
sad
51:11
that
51:11
he
51:11
can't
51:12
take
51:12
them.
51:12
All.
51:13
Wow.
51:14
All
51:15
right.
51:15
One
51:16
spot
51:16
likely
51:17
to
51:17
land
51:17
on
51:18
many
51:18
NRF
51:19
store
51:19
tours
51:20
as
51:20
we
51:20
head
51:20
into
51:21
New
51:21
York
51:21
in
51:21
January
51:22
will
51:22
be
51:22
the
51:22
new
51:22
Calvin
51:23
Klein
51:23
flagship
51:24
that
51:24
opened
51:24
recently
51:24
in
51:25
New
51:25
York's
51:25
SoHo
51:26
neighborhood.
51:26
The
51:26
story.
51:27
The
51:27
store
51:28
carries
51:28
the
51:29
full
51:29
Calvin
51:29
Klein
51:30
assortment,
51:30
from
51:31
denim
51:31
to
51:31
T
51:31
shirts
51:32
and,
51:32
of
51:32
course,
51:32
underwear.
51:33
Chris,
51:33
what
51:34
Calvin
51:34
Klein
51:34
item
51:35
would
51:35
you
51:35
most
51:35
want
51:36
to
51:36
leave
51:36
the
51:37
Calvin
51:37
Klein
51:37
store
51:38
tour.
51:38
Carrying?
51:40
Oh,
51:41
my
51:41
God.
51:41
The
51:41
only
51:41
thing
51:42
I
51:42
could
51:42
ever
51:42
think
51:42
about
51:42
when
51:42
a
51:43
Calvin
51:43
Klein
51:43
is
51:43
like,
51:43
it's
51:44
like
51:44
Elaine
51:44
told
51:44
Marty,
51:45
it's
51:45
written
51:45
all
51:45
over
51:46
your
51:46
underwear.
51:46
And
51:46
it's
51:47
written
51:47
all
51:47
over
51:47
my
51:47
underwear.
51:48
That's
51:48
all
51:48
I
51:48
can
51:48
think
51:48
about.
51:49
That's
51:49
all
51:49
I'd
51:49
want
51:49
to
51:49
take
51:50
out
51:50
of
51:50
that.
51:50
That
51:50
store.
51:51
All
51:51
right,
51:51
last
51:51
one.
51:52
This
51:52
one's
51:53
sad,
51:53
folks.
51:53
To
51:53
honor
51:53
the
51:54
late
51:54
Rob
51:54
Reiner,
51:55
for
51:55
whom
51:55
we
51:56
always
51:56
pay
51:56
homage
51:57
on
51:57
this
51:57
podcast
51:58
when
51:58
we
51:58
try
51:59
to
51:59
dial
51:59
things
51:59
up
52:00
to
52:00
11.
52:01
What
52:01
is
52:01
your
52:02
Mount
52:02
Rushmore
52:02
of
52:03
Rob
52:03
Reiner.
52:04
Movies?
52:07
Princess
52:07
Bride.
52:08
I
52:08
still
52:09
love
52:09
that
52:09
movie
52:09
so.
52:09
Much.
52:11
Particular
52:11
order
52:11
or
52:12
are
52:12
these
52:12
just.
52:12
Like.
52:12
Oh,
52:13
no,
52:13
they're
52:13
just
52:13
like,
52:14
top
52:14
four.
52:14
So
52:15
cool.
52:15
Princess
52:16
Bride.
52:16
When.
52:17
When
52:17
Harry
52:18
Met
52:18
Sally,
52:19
Stand
52:19
By
52:19
Me,
52:20
and
52:20
A
52:20
Few
52:20
Good
52:20
Men.
52:21
Those
52:22
would
52:22
be
52:22
my
52:22
four.
52:22
What
52:23
would
52:23
your
52:23
four.
52:23
Be?
52:24
It's
52:24
hard
52:24
to
52:24
argue
52:25
those.
52:25
It's
52:25
definitely
52:26
hard
52:26
to
52:26
argue.
52:26
Those.
52:27
Let
52:27
me.
52:27
Think.
52:27
I.
52:28
Princess
52:28
Bride,
52:28
When
52:28
Harry
52:29
Met
52:29
Sally,
52:30
A
52:30
Few
52:30
Good
52:31
Men,
52:31
for
52:31
sure.
52:32
And
52:32
then
52:32
I'd
52:32
probably
52:33
put
52:33
Spinal
52:33
Tap
52:34
in
52:34
there
52:34
just
52:35
because
52:35
it's
52:36
quoted
52:36
so
52:36
often,
52:38
although
52:39
I
52:39
haven't
52:39
watched
52:39
it
52:39
in
52:40
a
52:40
long
52:40
time.
52:40
Stand
52:41
By
52:41
Me
52:41
is
52:41
tough
52:41
to
52:41
argue
52:42
with,
52:42
too.
52:42
So
52:42
I
52:42
don't
52:42
know,
52:43
you
52:43
know,
52:43
maybe.
52:44
Maybe
52:44
4A,
52:45
4B.
52:45
For.
52:45
Me.
52:46
It's.
52:47
It's
52:47
like
52:47
a.
52:48
There's
52:48
just
52:48
a
52:48
whole
52:49
Mount
52:49
Rushmore
52:49
peanut
52:50
gallery.
52:50
There's
52:51
just,
52:51
like,
52:52
layers
52:52
to
52:52
p.
52:52
Of
52:53
people
52:53
up
52:53
there
52:54
or
52:54
of
52:54
movies
52:54
up
52:55
there
52:55
for.
52:55
Him.
52:56
Yeah.
52:57
At
52:57
Orange
52:57
Theory
52:58
this
52:58
week,
52:58
the
52:58
guy
52:59
during
52:59
the
52:59
cooldown
52:59
played.
53:00
Played
53:00
Stand
53:01
By
53:01
Me,
53:01
the
53:01
song,
53:02
you
53:02
know,
53:02
and.
53:03
And
53:03
I
53:03
was,
53:03
like,
53:03
saying,
53:04
oh,
53:04
wow,
53:04
this
53:04
is
53:04
so
53:04
apropos.
53:05
And
53:05
most
53:05
people
53:05
didn't
53:06
even
53:06
know
53:06
what
53:06
I
53:06
was
53:06
talking
53:06
about
53:06
or
53:07
they
53:07
were
53:07
too
53:07
tired
53:07
to
53:07
care,
53:08
you
53:08
know,
53:08
I
53:08
don't
53:09
know.
53:09
But
53:09
anyway.
53:10
All
53:10
right,
53:11
Ella,
53:12
Producer
53:12
Ella,
53:13
come
53:13
on
53:13
in
53:13
here.
53:13
I'm
53:14
curious.
53:14
I
53:14
have
53:15
no
53:15
idea.
53:16
Absolutely
53:17
no
53:17
idea.
53:17
This
53:17
is
53:17
a
53:18
weird
53:18
show
53:18
to
53:19
cap
53:19
off
53:19
2025
53:20
for
53:20
sure.
53:21
Lots
53:21
of
53:21
good,
53:21
healthy
53:22
debate.
53:24
Which
53:24
headline
53:24
for
53:24
you
53:25
won
53:25
the
53:25
week?
53:26
What
53:26
inspired
53:26
you
53:26
the
53:27
most?
53:27
Got
53:27
you.
53:27
Thinking?
53:28
Yeah,
53:28
you
53:29
know,
53:29
I
53:29
don't
53:29
know
53:29
if
53:29
I
53:29
would
53:30
say
53:30
won
53:30
the
53:30
week,
53:31
but
53:31
something
53:32
thinking
53:33
was
53:33
the
53:34
Target
53:34
in
53:34
Soho?
53:35
I
53:36
am
53:36
very
53:36
intrigued.
53:37
I
53:37
think
53:37
I
53:37
couldn't
53:38
form
53:38
any
53:38
opinions
53:39
until
53:39
I
53:39
stepped
53:40
foot
53:40
in
53:40
it.
53:40
I
53:41
think
53:41
the
53:42
design
53:42
aspects
53:43
of
53:43
it
53:43
are
53:43
very
53:43
interesting.
53:44
And
53:44
I
53:45
think
53:45
I
53:45
wasn't
53:46
sure
53:46
which
53:46
way
53:46
you
53:47
guys
53:47
were
53:47
gonna
53:47
go.
53:47
And
53:48
after
53:48
your
53:48
talks,
53:49
I
53:49
think
53:49
you
53:49
had
53:49
some
53:49
great
53:50
points.
53:51
I
53:52
think
53:52
given
53:52
its
53:52
location
53:53
being
53:53
in
53:54
Soho
53:55
and
53:55
the
53:55
neighborhood,
53:56
it
53:56
kind
53:57
of
53:57
makes
53:57
sense
53:57
to
53:57
me.
53:57
Like
53:57
a
53:58
boutique
53:58
inspired
53:59
little
54:00
Target
54:00
pop
54:00
up.
54:01
I
54:01
know
54:01
it's
54:01
not
54:01
a
54:01
pop
54:01
up,
54:01
but
54:02
it
54:02
feels
54:02
like
54:02
a
54:02
pop
54:02
up.
54:03
I
54:03
don't
54:03
know,
54:03
I
54:04
think
54:04
it's.
54:04
It
54:04
feels
54:05
like
54:05
a
54:05
tourist
54:05
attraction
54:06
to
54:06
me
54:06
and
54:06
I
54:06
would
54:07
love
54:07
to
54:07
see
54:07
it
54:07
once.
54:08
But
54:08
I
54:08
think
54:08
when
54:08
it
54:09
comes
54:09
to
54:09
going
54:09
there
54:10
regularly
54:10
or
54:10
deploying
54:11
this
54:11
out
54:11
to
54:12
other
54:12
targets,
54:13
I
54:13
would
54:13
probably
54:14
fall
54:14
back
54:14
to
54:14
my
54:14
regular
54:15
department
54:15
store,
54:15
the
54:16
ones
54:16
where,
54:16
like,
54:16
you
54:16
can
54:17
go
54:17
in
54:17
looking
54:17
for
54:18
deodorant
54:18
and
54:18
leave
54:19
with
54:19
a
54:19
dress
54:19
and
54:20
a
54:20
coat
54:20
and
54:20
some
54:20
shoes,
54:20
you
54:21
know,
54:21
So,
54:22
I
54:22
don't
54:22
know.
54:22
Got
54:22
me.
54:23
Thinking.
54:23
Yeah.
54:23
Wow.
54:24
Well
54:24
said.
54:24
Well
54:24
said.
54:24
Interesting
54:25
point,
54:25
too.
54:26
All
54:26
right,
54:26
that
54:26
closes
54:27
us
54:27
up.
54:27
Happy
54:27
birthday
54:28
today
54:28
to
54:28
Catherine
54:29
Winick,
54:30
Sarah
54:30
Paulson,
54:30
and
54:31
to
54:31
the
54:31
man
54:31
who
54:32
will
54:32
forever
54:32
be,
54:33
in
54:33
my
54:33
mind,
54:33
the
54:34
greatest
54:34
American
54:34
president,
54:35
real
54:36
or
54:36
fictional,
54:37
the
54:37
great
54:37
Bill
54:38
Pullman.
54:39
And
54:39
remember,
54:39
if
54:39
you
54:39
can
54:40
only
54:40
read
54:40
or
54:40
listen
54:40
to
54:40
one
54:41
retail
54:41
blog
54:41
in
54:41
the
54:41
business,
54:42
Make
54:42
It
54:42
Omnitoc,
54:43
the
54:43
only
54:43
retail
54:43
media
54:43
outlet
54:44
run
54:44
by
54:44
two
54:44
former
54:45
executives
54:45
from
54:46
a
54:46
current
54:46
top
54:46
10
54:47
US
54:47
retailer.
54:48
Our
54:48
Fast
54:48
Five
54:48
podcast
54:49
is
54:49
the
54:49
quickest,
54:49
fastest
54:50
rundown
54:50
of
54:50
all
54:50
the
54:51
week's
54:51
top
54:51
news.
54:51
And
54:51
our
54:52
daily
54:52
newsletter,
54:52
the
54:53
Retail
54:53
Daily
54:53
Minute,
54:54
tells
54:54
you
54:54
all
54:54
you
54:55
need
54:55
to
54:55
know
54:56
each
54:56
day
54:56
to
54:56
stay
54:57
on
54:57
top
54:57
of
54:57
your
54:57
game
54:57
as
54:58
a
54:58
retail
54:58
executive.
54:58
And
54:59
also
54:59
regularly
54:59
features
55:00
special
55:00
content
55:00
that
55:01
is
55:01
exclusive
55:01
to
55:01
us
55:02
and
55:02
that
55:02
Ann
55:03
and
55:03
I
55:03
take
55:03
a
55:03
lot
55:03
of
55:03
pride
55:04
in
55:04
doing
55:04
just
55:04
for
55:04
you.
55:04
Thanks
55:05
as
55:05
always
55:05
for
55:05
listening
55:05
in.
55:06
Please
55:06
remember
55:06
to
55:06
like
55:06
and
55:06
leave
55:06
us
55:07
a
55:07
review
55:07
wherever
55:07
you
55:07
happen
55:08
to
55:08
listen
55:08
to
55:08
your
55:08
podcast
55:09
or
55:09
on
55:09
YouTube.
55:10
You
55:10
can
55:10
follow
55:10
us
55:10
today
55:11
by
55:11
simply
55:11
going
55:11
to
55:11
YouTube.com
55:13
omnitalkretail
55:14
Today's
55:15
podcast
55:15
was
55:15
of
55:15
course,
55:16
produced
55:16
with
55:16
the
55:16
help
55:16
and
55:16
support
55:17
of
55:17
Ella
55:17
Seoyord.
55:18
We
55:18
are
55:18
back
55:19
on
55:19
January
55:19
7,
55:20
2025,
55:21
so.
55:21
So
55:21
until
55:21
next
55:22
year,
55:22
on
55:22
behalf
55:22
of
55:22
producer
55:23
Ella
55:23
Ann
55:24
and
55:24
myself
55:24
and
55:24
all
55:24
of
55:25
us
55:25
at
55:25
Omnitalk
55:25
Retail.
55:26
As
55:26
always,
55:27
be
55:27
careful
55:27
out.