Latest / Omni Talk Retail / Target Goes Factory-Direct, Walmart Goes Dark & Starbucks Revamps Its Hiring Process | Fast Five

Transcript

Target Goes Factory-Direct, Walmart Goes Dark & Starbucks Revamps Its Hiring Process | Fast Five · Omni Talk Retail

0:00
The
0:00
Omni
0:01
Tech
0:01
Fast
0:01
5
0:01
is
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brought
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to
0:02
you
0:02
by
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the
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A
0:02
and
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M
0:03
Consumer
0:03
and
0:03
Retail
0:04
Group.
0:04
The
0:04
A
0:05
and
0:05
M
0:05
Consumer
0:05
and
0:05
Retail
0:06
Group
0:06
is
0:06
a
0:06
management
0:06
consulting
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firm
0:07
that
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tackles
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complex
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and
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advances
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its
0:10
clients,
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people
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and
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communities
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toward
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their
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maximum
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potential.
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CRG
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brings
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the
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experience,
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tools
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and
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operator
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like
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pragmatism
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to
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help
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retailers
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and
0:18
consumer
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products
0:19
companies
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be
0:19
on
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the
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right
0:20
side
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of
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disruption
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and
0:22
Miracle,
0:22
the
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catalyst
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of
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Commerce.
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Over
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450
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now
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opening
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new
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streams
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with
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marketplaces,
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dropship
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and
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retail
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media.
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And
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succeeding
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with
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Miracle,
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you
0:33
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unlock
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partners
0:35
and
0:35
more
0:36
profits
0:36
without
0:36
the
0:37
heavy
0:37
lifting.
0:38
What's
0:38
holding
0:38
you
0:38
back?
0:39
Visit
0:39
Miracle.com
0:41
to
0:41
learn
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more.
0:41
That's
0:42
M
0:42
I
0:42
R
0:42
A
0:43
K
0:43
L.com
0:44
and
0:44
Simbi
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Simbi
0:46
powers
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the
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most
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banners
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in
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the
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with
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today's
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Albertsons,
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and
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Automation@7simd
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Robotics.com
1:00
and
1:00
Infios.
1:01
@
1:01
Infios,
1:02
they
1:02
unite
1:02
warehousing,
1:03
transportation
1:03
and
1:04
order
1:04
management
1:04
into
1:05
a
1:05
seamless,
1:05
adaptable
1:06
network.
1:07
Infios
1:07
helps
1:08
you
1:08
stay
1:08
ahead
1:09
from
1:09
promise
1:10
to
1:10
delivery
1:10
and
1:11
every
1:11
step
1:11
in
1:12
between.
1:12
To
1:12
learn
1:13
more,
1:13
visit
1:13
infios.com
1:15
and
1:15
Clear
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Demand
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pricing
1:17
shouldn't
1:17
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1:17
guesswork.
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1:20
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1:20
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1:20
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1:22
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1:22
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1:22
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1:23
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1:23
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1:24
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1:25
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1:25
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1:26
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1:27
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Clear
1:28
Demand
1:28
makes
1:29
it
1:29
happen.
1:29
Learn
1:30
more@cleardemand.com
1:32
omnitalk
1:33
and
1:33
finally,
1:34
Ocampo
1:34
Capital.
1:35
Ocampo
1:35
Capital
1:35
is
1:36
a
1:36
venture
1:36
capital
1:36
firm
1:37
founded
1:37
by
1:37
retail
1:38
executives
1:38
with
1:38
an
1:39
aim
1:39
of
1:39
helping
1:39
early
1:40
stage
1:40
consumer
1:40
businesses
1:41
succeed
1:41
through
1:42
investment
1:42
and
1:42
operational
1:43
support.
1:44
Learn
1:44
more@ocampo
1:45
capital.com
1:47
hello,
1:47
you
1:48
are
1:48
listening
1:48
to
1:48
Omnitalk's
1:49
Retail
1:50
Fast
1:50
Five
1:50
ranked
1:51
in
1:51
the
1:51
top
1:51
10%
1:52
of
1:52
all
1:52
podcasts
1:52
globally
1:53
and
1:53
currently
1:53
the
1:54
only
1:54
retail
1:54
podcast
1:55
ranked
1:55
in
1:55
the
1:55
top
1:55
100
1:56
of
1:56
all
1:56
all
1:57
business
1:57
podcasts
1:58
on
1:58
Apple
1:58
Podcasts.
1:59
The
1:59
Retail
1:59
Fast
2:00
five
2:00
is
2:00
a
2:00
podcast
2:01
that
2:01
we
2:01
hope
2:01
makes
2:02
you
2:02
feel
2:02
a
2:02
little
2:03
smarter,
2:03
but
2:03
most
2:04
importantly,
2:04
a
2:04
little
2:04
happier
2:05
each
2:05
week
2:05
too.
2:06
And
2:06
the
2:06
Fast
2:07
5
2:07
is
2:07
just
2:07
one
2:07
of
2:07
the
2:07
many
2:08
great
2:08
podcasts
2:09
you
2:09
can
2:09
find
2:09
from
2:09
the
2:09
Omnitok
2:10
Retail
2:10
Podcast
2:11
Network
2:11
alongside
2:12
our
2:12
Retail
2:12
Daily
2:13
Minute,
2:13
which
2:13
brings
2:14
you
2:14
a
2:14
curated
2:14
selection
2:15
of
2:15
the
2:15
most
2:15
important
2:16
retail
2:16
headlines
2:17
every
2:17
morning
2:18
and
2:18
our
2:18
Retail
2:19
Technology
2:19
Spotlight
2:20
series
2:20
which
2:20
goes
2:20
deep
2:21
each
2:21
week
2:21
on
2:21
the
2:22
latest
2:22
retail
2:23
technology
2:23
trends.
2:24
It's
2:24
July
2:24
2,
2:25
2025.
2:26
I'm
2:26
one
2:26
of
2:27
your
2:27
hosts
2:27
and
2:27
Mazinga.
2:28
And
2:28
I'm
2:29
Chris
2:29
Walton
2:30
and
2:30
we're
2:30
here.
2:30
Once
2:30
again
2:31
to
2:31
discuss
2:31
all
2:32
the
2:32
top
2:32
headlines
2:32
from
2:32
the
2:33
past
2:33
week
2:34
making
2:34
Waves
2:34
in
2:35
the
2:35
world
2:35
of
2:35
omnichannel
2:36
retailing.
2:37
And
2:37
shockingly,
2:38
we
2:38
are
2:39
at
2:39
home
2:39
in
2:40
our
2:40
home
2:40
studios
2:41
doing
2:41
this
2:41
podcast.
2:42
Feels
2:42
good,
2:42
doesn't
2:43
it,
2:43
Anne?
2:43
I
2:43
think
2:44
it
2:44
might
2:44
feel
2:44
great.
2:45
I
2:45
could
2:45
not
2:46
be
2:46
happier
2:47
to
2:47
be
2:47
home.
2:48
Thank
2:48
you,
2:49
LaGuardia,
2:49
for
2:50
making
2:50
it
2:50
the
2:50
worst
2:51
possible
2:51
flight
2:51
home.
2:52
Four
2:53
hours
2:53
on
2:53
the
2:53
tarmac,
2:54
Delta,
2:55
not
2:55
your
2:55
best,
2:57
but
2:58
now
2:58
we're
2:58
home
2:58
and
2:58
it's
2:59
great.
2:59
But
3:00
I
3:00
did
3:00
have
3:00
a
3:01
really
3:01
good
3:01
experience
3:01
before
3:02
we
3:02
left
3:03
New
3:03
York
3:03
from.
3:03
Oh,
3:04
yeah.
3:04
Last
3:05
week,
3:05
Chris,
3:05
I
3:06
want
3:06
to
3:06
give
3:06
a
3:06
big
3:06
shout
3:07
out.
3:07
I
3:08
was
3:08
sitting
3:08
in
3:08
the
3:09
lobby
3:09
bar
3:10
at
3:10
the
3:10
Hilton
3:10
Midtown.
3:11
I
3:12
was
3:12
getting
3:12
a
3:12
glass
3:12
of
3:12
wine
3:13
to
3:13
take
3:13
up
3:13
to
3:13
my
3:14
room
3:14
so
3:14
I
3:14
could
3:15
relax
3:15
on
3:15
my
3:16
final
3:16
evening
3:17
in
3:17
New
3:17
York.
3:18
And
3:19
Justin
3:19
Emig,
3:20
the
3:20
chief
3:20
technology
3:21
officer
3:21
at
3:21
Artisan
3:22
Lane
3:22
Furniture
3:23
Collective,
3:24
he
3:24
came
3:24
by,
3:24
Chris,
3:25
he
3:25
stopped
3:25
me
3:26
and
3:26
he.
3:26
Said
3:27
he
3:27
recognized
3:28
you.
3:28
Yes.
3:29
Recognized
3:29
you.
3:29
Yeah.
3:31
Even
3:31
in
3:32
a
3:32
sweaty
3:32
100
3:33
degree
3:33
post
3:34
walk.
3:34
Subway
3:35
home.
3:36
Subway
3:36
ride
3:36
home.
3:37
And
3:37
he
3:37
said,
3:38
I
3:38
just
3:38
want
3:38
to
3:39
tell
3:39
you
3:39
how
3:39
great
3:40
I
3:40
think
3:41
that
3:41
you
3:41
and
3:41
Chris
3:41
are.
3:42
He
3:42
gave.
3:43
Gave
3:43
us,
3:43
I
3:43
think
3:44
what
3:44
for
3:44
me
3:44
is
3:44
the
3:44
best
3:45
compliment
3:45
ever.
3:45
And
3:46
he
3:46
said
3:46
that
3:46
we
3:47
are
3:47
his
3:47
Scott
3:48
and
3:48
Kara
3:49
of
3:49
retail.
3:50
Oh,
3:50
wow.
3:51
That
3:51
let
3:51
it
3:51
sink
3:52
in.
3:54
Wow,
3:55
that's
3:55
awesome.
3:55
Yeah.
3:56
Shout
3:56
out
3:56
to
3:56
Justin.
3:57
Yeah.
3:57
Thank
3:58
you
3:58
so
3:58
much,
3:58
Justin,
3:59
for
3:59
doing
3:59
that.
3:59
It
3:59
means
3:59
so
3:59
much
4:00
to
4:00
us.
4:00
Thank
4:00
you
4:00
to
4:01
all
4:01
of
4:01
you
4:02
who
4:02
listen
4:03
and
4:03
come
4:03
up
4:03
to
4:03
us
4:04
and
4:04
tell
4:04
us
4:04
and
4:04
have
4:05
done
4:05
that
4:05
over
4:05
the
4:06
course
4:06
of
4:06
the
4:06
past
4:06
several
4:07
weeks
4:07
as
4:07
we've
4:07
been
4:07
traveling
4:08
and
4:08
seeing
4:08
you
4:08
all
4:08
live
4:09
at
4:09
conferences.
4:10
It
4:10
really
4:10
means
4:10
a
4:11
lot
4:11
to
4:11
us.
4:11
So
4:11
thank
4:12
you.
4:12
Thank
4:12
you
4:12
for
4:12
listening.
4:13
That's
4:13
pretty.
4:13
That's
4:14
pretty
4:14
impressive
4:14
that
4:14
he.
4:15
He
4:15
recognized
4:16
you
4:16
when
4:16
you
4:16
weren't
4:16
your
4:16
May
4:17
west
4:17
either.
4:17
And
4:18
you
4:18
know,
4:18
you're
4:18
hot,
4:18
sweaty.
4:19
Oh,
4:19
God.
4:20
In
4:20
the
4:20
bar.
4:21
And
4:21
it
4:21
was
4:22
bad.
4:22
It
4:22
was
4:23
bad.
4:23
I
4:23
had
4:23
a
4:23
big
4:23
bad
4:24
News
4:24
Bears.
4:25
Yeah,
4:25
Real
4:26
sweaty.
4:26
That,
4:27
that
4:27
subway
4:27
ride
4:28
home
4:28
was
4:28
not
4:29
pretty.
4:30
So,
4:30
yeah,
4:31
it
4:31
was
4:31
great.
4:31
But
4:31
now
4:32
we're
4:32
in
4:32
fourth
4:32
of
4:32
July
4:32
week.
4:33
What
4:33
are
4:33
we
4:34
back?
4:35
Yeah,
4:35
you
4:36
know,
4:36
and
4:36
this.
4:36
This
4:37
funny.
4:37
You're
4:37
gonna
4:37
appreciate
4:38
this.
4:38
I'm
4:38
going
4:38
big
4:39
into
4:39
sausage
4:40
this
4:40
fourth
4:40
of
4:40
July
4:40
and
4:41
big
4:41
into
4:41
sausage.
4:42
Oh,
4:42
God.
4:42
Bratwurst
4:43
and
4:43
the
4:44
reason
4:44
why.
4:44
Do
4:44
you
4:45
remember
4:45
when
4:45
we
4:45
were
4:45
at
4:45
Outdoor
4:46
Retailer?
4:46
I
4:47
think
4:47
it
4:47
was
4:47
last
4:47
year.
4:48
Right?
4:48
We're
4:48
at
4:48
Outdoor
4:49
Retailer
4:49
last
4:49
year
4:49
in
4:49
Salt
4:50
Lake
4:50
City.
4:50
It
4:50
was
4:50
either
4:50
last
4:51
year,
4:51
the
4:51
year
4:51
before.
4:52
Track
4:52
of
4:52
time.
4:53
Yes.
4:53
But
4:53
you
4:53
remember
4:54
we
4:54
went
4:54
to
4:54
that
4:54
German
4:54
restaurant
4:55
and
4:55
we
4:55
got
4:55
the
4:56
bratwurst
4:56
sliced
4:57
in
4:57
half
4:58
on
4:58
the
4:58
kaiser.
4:59
I
4:59
do
5:00
Swiss
5:00
cheese,
5:01
pickles
5:01
and
5:01
mayonnaise.
5:02
I'm
5:02
Gonna
5:02
try
5:02
to
5:03
recreate
5:03
that.
5:04
That's
5:04
my
5:05
goal
5:05
for
5:05
this,
5:05
this
5:06
Fourth
5:06
of
5:06
July.
5:07
And
5:07
I'm.
5:08
I'm
5:08
excited
5:08
about
5:08
it.
5:08
I'm
5:09
gonna.
5:09
I'm
5:09
gonna
5:09
try
5:09
to
5:09
get
5:09
my
5:10
culinary
5:10
sausage
5:11
skills
5:12
a
5:12
go
5:12
here.
5:13
And
5:13
that's
5:13
what
5:13
I'm.
5:13
So
5:14
you're
5:14
not
5:14
making
5:14
the
5:15
sausage
5:16
just
5:16
to
5:16
be
5:17
certain
5:18
or
5:18
you
5:18
are?
5:18
Well,
5:18
I'm
5:18
not.
5:19
I'm
5:19
not
5:19
like,
5:19
procuring
5:20
the
5:20
pig
5:20
and
5:21
then
5:21
slaughtering
5:21
the
5:22
pig
5:22
and
5:22
making
5:22
the
5:22
sausage,
5:23
but
5:23
I'm
5:23
going
5:23
to.
5:23
I'm
5:24
going
5:24
to
5:24
brown
5:24
the
5:25
sausage,
5:25
I
5:25
guess.
5:26
Okay.
5:26
I'm
5:26
going
5:26
to
5:27
grill
5:27
the
5:27
sausage.
5:28
This.
5:28
I'm
5:28
going
5:29
to
5:29
slice
5:29
it
5:29
in
5:29
half.
5:30
Okay,
5:30
fine.
5:31
In
5:31
half.
5:31
Okay.
5:32
Swiss
5:32
cheese,
5:33
little
5:33
mayonnaise,
5:34
little.
5:34
Little
5:34
kosher
5:35
pickle
5:35
in
5:36
a
5:36
kaiser
5:36
roll.
5:36
The
5:36
kaiser
5:37
roll
5:37
is
5:37
key
5:37
ad
5:37
because
5:37
I
5:38
tried
5:38
it
5:38
last
5:38
year
5:39
without
5:39
the
5:39
kaiser
5:39
roll.
5:40
Doesn't
5:40
work
5:41
as
5:41
well.
5:41
You
5:41
need,
5:41
like,
5:41
the
5:42
texture
5:42
of,
5:42
like,
5:42
the
5:42
hard
5:43
and
5:43
the
5:43
soft
5:43
of
5:43
the
5:43
kaiser
5:44
roll
5:45
to
5:45
make
5:45
this
5:45
sandwich
5:46
work.
5:46
I
5:46
think
5:46
that
5:46
was
5:47
the
5:47
secret
5:47
of.
5:47
Of
5:48
the
5:48
German
5:49
restaurant
5:49
that
5:50
we
5:50
went
5:50
to
5:50
in
5:50
downtown
5:51
city.
5:52
Do
5:52
you
5:52
remember
5:52
that,
5:52
though?
5:52
It
5:52
was
5:53
so
5:53
good,
5:53
wasn't
5:53
it?
5:53
It
5:54
was.
5:54
I
5:54
remember
5:54
the
5:54
name
5:54
of
5:55
it.
5:55
Like
5:55
mustard
5:55
and
5:56
sauerkraut,
5:56
too,
5:57
on
5:57
the
5:57
one
5:57
that
5:57
I
5:57
had.
5:58
And
5:58
that
5:58
was
5:58
wonderful.
5:59
It
5:59
was
5:59
so
5:59
good.
6:01
Well,
6:01
update
6:01
us
6:02
all
6:02
on
6:02
how
6:03
that,
6:03
that
6:03
experiment
6:04
turns
6:04
out,
6:04
because.
6:05
What
6:05
are
6:05
you
6:05
doing,
6:05
though?
6:06
What's
6:06
your
6:06
fourth
6:06
of
6:06
July
6:07
plans?
6:07
Hopefully
6:07
it's
6:08
not
6:08
raining
6:08
for
6:08
both
6:08
of
6:09
us.
6:09
Yes.
6:09
No,
6:10
we.
6:11
We
6:11
do
6:11
a
6:11
staycation
6:12
at
6:13
my
6:13
parents.
6:13
They
6:14
live
6:14
on
6:14
a
6:14
little
6:15
lake.
6:16
My
6:16
siblings
6:17
and
6:17
I
6:17
are
6:18
gonna
6:18
all
6:18
come
6:18
over.
6:19
We
6:19
put
6:20
all
6:20
the
6:20
boys
6:20
in
6:20
a
6:21
garage
6:21
and
6:22
they.
6:22
We
6:22
shut
6:22
the
6:23
door.
6:23
It's
6:23
got
6:23
a
6:23
TV
6:24
and
6:24
a
6:24
gaming
6:24
system
6:25
in
6:25
there.
6:25
And
6:25
then
6:25
the
6:25
rest
6:26
of
6:26
us
6:26
get
6:26
to.
6:26
Get
6:27
to
6:27
catch
6:27
up
6:27
on
6:27
life.
6:28
And
6:28
we
6:28
do
6:29
do
6:29
a
6:29
hot
6:29
wings
6:30
challenge.
6:30
We
6:30
do
6:30
the
6:30
hot
6:31
ones,
6:31
though,
6:31
every
6:31
year.
6:32
So
6:33
wings
6:34
are
6:34
the
6:34
kickoff
6:35
to
6:35
the
6:35
fourth
6:35
of
6:35
July
6:36
weekend.
6:36
And
6:36
then
6:36
we
6:37
get
6:37
the
6:37
hot
6:37
ones,
6:38
like
6:38
box
6:39
of.
6:39
Of
6:39
hot
6:40
sauces.
6:40
And
6:41
so
6:41
we
6:41
all
6:41
see
6:42
if
6:42
we
6:42
can
6:42
make
6:42
it
6:42
through.
6:44
The
6:44
bomb
6:45
still
6:45
kills
6:46
us
6:46
every
6:47
year,
6:47
so.
6:48
So
6:48
same
6:48
question
6:48
to
6:48
you.
6:49
So
6:49
you
6:49
make
6:49
the
6:49
wings
6:50
and
6:50
then
6:50
put
6:50
the
6:50
sauces
6:51
on
6:51
the
6:51
wings.
6:52
Is
6:52
that
6:52
what
6:52
you
6:52
do
6:52
or
6:53
do
6:53
you.
6:53
My
6:53
brother
6:54
is
6:54
previously
6:55
made.
6:56
No,
6:56
my
6:56
brother
6:57
is
6:57
the
6:57
wing
6:58
master.
6:58
So
6:59
he
6:59
just
6:59
makes
6:59
the
7:00
wings.
7:00
And
7:00
then
7:01
we
7:01
put
7:01
the
7:01
wings
7:02
on
7:02
the
7:02
picnic
7:03
table
7:03
in
7:03
the
7:03
middle.
7:04
And
7:04
then
7:04
you
7:05
just
7:05
take
7:05
your
7:05
wings
7:06
and
7:06
then
7:06
you
7:07
dip
7:07
them
7:07
in
7:07
the
7:07
sauces
7:08
that
7:08
we
7:08
pass
7:08
around.
7:09
So
7:10
I
7:10
am
7:10
not
7:10
in
7:10
charge
7:11
of
7:11
the
7:11
wings.
7:11
I'm
7:12
doing.
7:12
We're
7:12
doing
7:13
breakfast
7:13
and
7:14
salads,
7:14
which
7:15
is
7:15
much
7:15
more
7:15
my
7:16
speed.
7:16
So.
7:17
Nice.
7:17
Nice.
7:17
Yeah,
7:18
it'll
7:18
be
7:18
fun.
7:19
Wing
7:19
Master
7:19
is
7:20
a
7:20
good
7:20
moniker.
7:20
I
7:20
think
7:20
I
7:20
like
7:21
that
7:21
better
7:21
than
7:21
Sausage
7:22
Master.
7:22
I
7:22
think
7:22
I
7:22
might
7:23
have
7:23
to
7:23
try
7:23
to
7:23
be
7:23
Wing
7:23
Master
7:24
next
7:24
year.
7:24
I
7:24
think
7:25
that
7:25
might.
7:25
Broadmaster.
7:26
Broadmaster,
7:28
Broadmaster
7:28
be
7:28
good
7:29
too.
7:29
But
7:29
Sausage
7:30
Master
7:30
just
7:30
doesn't
7:30
have
7:30
the
7:30
sausage.
7:31
I
7:31
mean,
7:31
Sausage
7:31
King,
7:32
maybe.
7:32
Isn't
7:32
there
7:33
like
7:33
a
7:33
Sausage
7:33
King
7:34
in
7:34
Chicago?
7:34
I
7:35
think
7:35
that.
7:35
Yeah,
7:36
I
7:36
think
7:36
that's
7:36
what
7:37
you
7:37
should
7:37
go
7:37
for.
7:38
Sausage
7:38
King.
7:38
Chris
7:38
Walton,
7:39
the
7:39
sausage
7:39
king
7:40
of
7:40
Adina.
7:40
Yes.
7:41
All
7:41
right,
7:41
Perfect.
7:42
All
7:42
right,
7:42
let's
7:43
get
7:43
rolling.
7:43
That's
7:43
funny.
7:44
In
7:44
this
7:44
week's
7:44
Fast5,
7:45
we've
7:45
got
7:45
news
7:46
on
7:46
Starbucks
7:47
retooling
7:47
its
7:47
hiring
7:48
process
7:48
for
7:48
baristas.
7:50
Wegmans
7:51
piloting
7:51
instacart
7:51
smart
7:52
carts.
7:52
Target
7:53
exploring
7:53
factory
7:54
direct
7:54
shipping
7:54
models
7:55
similar
7:55
to
7:55
Shein
7:56
and
7:56
Teemu,
7:57
Hibbit's
7:57
launch
7:57
of
7:58
a
7:58
kid
7:58
focused
7:58
app
7:58
and
7:59
website.
7:59
And
8:00
G
8:00
Store
8:00
from
8:00
Gray
8:01
Orange's
8:01
general
8:01
manager
8:02
Troy
8:02
Silek
8:02
stops
8:03
by
8:03
for
8:03
five
8:03
insightful
8:04
minutes
8:04
to
8:04
give
8:04
us
8:04
the
8:05
lowdown
8:05
on
8:06
what
8:06
technology
8:06
he
8:07
thinks
8:07
retailers
8:08
should
8:08
be
8:08
evaluating
8:09
for
8:09
their
8:09
next
8:09
generation
8:10
of
8:10
smart
8:11
stores.
8:11
But
8:12
we
8:12
begin
8:12
today
8:13
with
8:13
big
8:14
dark
8:14
news
8:15
out
8:15
of
8:16
Walmart
8:16
and
8:17
dark
8:17
news
8:18
indeed.
8:18
Yes,
8:19
yes.
8:19
Headline
8:20
number
8:20
one,
8:21
Walmart
8:21
is
8:22
testing
8:22
dark
8:23
stores.
8:23
According
8:23
to
8:24
retail
8:24
dive,
8:24
Walmart
8:25
is
8:25
currently
8:25
piloting
8:26
the
8:26
dark
8:27
store
8:27
concept
8:27
in
8:28
Dallas.
8:28
The
8:29
dark
8:29
stores
8:29
will
8:29
carry
8:30
some
8:30
of
8:30
the
8:30
retailers
8:30
most
8:31
popular
8:32
products.
8:32
And
8:32
another
8:33
location
8:33
is
8:34
planned
8:34
for
8:34
Bentonville,
8:34
Arkansas,
8:35
the
8:35
retailer's
8:36
hometown.
8:37
What
8:37
is
8:37
a
8:37
dark
8:37
store,
8:38
you
8:38
might
8:38
ask.
8:39
Many
8:39
of
8:39
our
8:39
listeners
8:40
know
8:40
this,
8:40
but
8:41
in
8:41
case
8:41
you
8:41
don't,
8:41
a
8:42
dark
8:42
store
8:42
may
8:42
look
8:43
like
8:43
a
8:43
regular
8:43
shopping
8:44
location,
8:44
but
8:44
there's
8:44
a
8:45
catch.
8:45
The
8:45
public
8:46
won't
8:46
be
8:46
allowed
8:47
inside
8:47
and
8:47
it
8:48
exists
8:48
only
8:48
to
8:49
speed
8:49
up
8:49
and
8:49
streamline
8:50
online
8:51
fulfillment.
8:52
Chris,
8:53
what
8:53
do
8:53
you
8:53
think
8:54
of
8:54
Walmart
8:54
going
8:55
public
8:55
with
8:56
its
8:56
dark
8:56
store
8:56
place
8:57
plans?
9:00
You
9:00
know,
9:00
on
9:00
the
9:00
whole,
9:01
I
9:01
like
9:01
the
9:01
move.
9:02
I
9:02
like
9:02
that
9:02
they're
9:02
going
9:02
public
9:03
with
9:03
it.
9:03
But
9:03
at
9:03
the
9:03
same
9:03
time,
9:04
like
9:04
dark
9:04
stores
9:04
aren't
9:04
really
9:05
anything
9:05
new
9:05
and
9:05
they've
9:06
been
9:06
around
9:06
forever.
9:07
I
9:07
mean,
9:07
at
9:07
the
9:07
end
9:08
of
9:08
the
9:08
day,
9:08
they're
9:08
just
9:08
a
9:08
fancy
9:09
name
9:09
for
9:09
a
9:09
smaller
9:10
warehouse,
9:10
but
9:11
in,
9:11
in
9:11
a
9:11
way
9:12
they
9:12
operate
9:12
differently
9:12
than
9:13
a
9:13
warehouse
9:13
too.
9:13
As
9:13
I
9:14
was
9:14
saying
9:14
to
9:14
my
9:14
buddy
9:14
Greg
9:15
London
9:15
over
9:15
LinkedIn
9:16
this
9:16
week
9:16
as
9:17
he
9:17
was
9:17
describing
9:18
what
9:18
he
9:18
thinks
9:18
this
9:18
operation
9:19
is
9:19
and
9:19
shout
9:19
out
9:19
to
9:19
him
9:19
for
9:20
helping
9:20
me
9:20
through
9:20
this
9:20
headline
9:21
this
9:21
week
9:21
I
9:22
picture
9:22
this
9:22
installation
9:23
kind
9:23
of
9:23
like
9:23
Walmart's
9:24
warehouse
9:24
operation
9:25
and
9:25
a
9:25
Walmart
9:25
store
9:26
had
9:26
a
9:26
baby.
9:27
That's
9:27
how
9:27
I
9:27
think
9:27
about
9:27
it
9:28
conceptually.
9:28
In
9:28
My
9:29
head,
9:29
you
9:29
know,
9:30
it's,
9:30
it's
9:30
an
9:30
operation
9:31
that's
9:31
designed
9:32
for
9:32
maximum
9:32
throughput
9:33
via
9:33
probably
9:34
manual
9:34
picking,
9:35
which,
9:35
you
9:36
know,
9:36
when
9:36
you
9:36
think
9:36
about
9:36
a
9:36
dark
9:37
store,
9:37
it
9:37
has
9:37
a
9:37
number
9:37
of
9:37
benefits.
9:38
Number
9:38
one,
9:39
you
9:39
get
9:39
better
9:39
inventory
9:40
item
9:40
accuracy
9:41
for
9:41
your
9:41
online
9:42
fulfillment
9:42
because
9:43
you
9:43
don't
9:43
have
9:43
shoppers
9:44
coming
9:44
in
9:44
there
9:44
and
9:44
mucking
9:45
with
9:45
shelves.
9:45
You
9:46
don't
9:46
have
9:46
store
9:46
employees
9:47
mucking
9:47
with
9:47
shelves
9:47
too.
9:48
Second,
9:49
secondly,
9:50
it
9:50
also
9:50
potentially
9:51
keeps
9:51
in
9:51
store
9:52
pickers
9:52
out
9:52
of
9:52
your
9:53
aisles
9:53
as
9:53
well,
9:53
which
9:54
is
9:54
just
9:54
good
9:54
from
9:55
a
9:55
customer
9:55
experience
9:56
standpoint.
9:56
And
9:57
in
9:57
addition
9:57
to
9:57
the
9:57
item
9:57
accuracy
9:58
point
9:58
that
9:58
I
9:58
made
9:58
before.
9:59
And
9:59
then
10:00
third,
10:00
longer
10:01
term,
10:01
and
10:01
this
10:01
is,
10:02
I
10:02
give
10:02
Greg
10:02
kudos
10:03
for
10:03
this
10:03
too.
10:03
He
10:04
said
10:04
they
10:04
could
10:04
be
10:04
calling
10:05
it
10:05
a
10:05
dark
10:05
store
10:06
and
10:06
also
10:06
signaling
10:07
that
10:07
it
10:07
has
10:07
a
10:08
Walmart
10:08
storefront
10:09
to
10:09
the
10:09
public.
10:10
Because
10:10
Walmart
10:10
over
10:11
time
10:11
could
10:11
push
10:12
many,
10:12
if
10:12
not
10:12
all
10:13
of
10:13
its
10:13
curbside
10:14
orders
10:14
through
10:14
these
10:15
locations
10:15
too,
10:16
thereby
10:16
freeing
10:17
up
10:17
their
10:17
store
10:17
staff
10:18
to,
10:18
you
10:18
know,
10:19
be
10:19
more
10:19
productive
10:20
for
10:20
the
10:20
operations
10:20
of
10:21
running
10:21
the
10:21
store.
10:21
Because
10:21
we've
10:22
heard
10:22
from
10:22
a
10:22
lot
10:22
of
10:22
retailers
10:23
that
10:23
that's
10:23
becoming
10:24
a
10:24
problem
10:25
operationally
10:25
for
10:26
stores
10:26
to
10:26
keep
10:26
up
10:26
with
10:26
their
10:27
online
10:27
orders
10:27
and
10:28
they're
10:28
missing
10:28
service
10:28
opportunities
10:29
in
10:29
the
10:29
store
10:29
as
10:30
a
10:30
result
10:30
of
10:30
that
10:30
because
10:30
their
10:30
heads
10:31
are
10:31
down
10:31
trying
10:31
to
10:32
get
10:32
their
10:32
job
10:32
done.
10:33
So
10:33
it's
10:33
an
10:33
idea
10:34
that
10:34
I
10:34
don't
10:34
think
10:35
works
10:35
everywhere,
10:36
but
10:37
it
10:37
is
10:37
a
10:37
potentially
10:38
smart
10:38
utilization
10:38
of
10:39
capital
10:39
where
10:39
the
10:39
market
10:40
dynamics
10:40
and
10:40
the
10:41
online
10:41
volume
10:41
is
10:42
high
10:42
enough.
10:42
So
10:42
I
10:42
think
10:43
it's
10:43
well
10:43
worth
10:43
the
10:43
test.
10:43
That's,
10:44
that's
10:44
my
10:44
take.
10:45
Yeah,
10:45
I
10:46
completely
10:47
agree.
10:47
I
10:47
mean
10:48
I'm,
10:48
I
10:49
was
10:49
surprised
10:49
that
10:50
you
10:50
know,
10:50
there,
10:51
they
10:51
could
10:51
do
10:51
this
10:51
even
10:52
faster.
10:52
I
10:53
mean,
10:53
I'm
10:53
still
10:53
impressed
10:54
by
10:54
how
10:54
quickly
10:54
I
10:55
get
10:55
product
10:55
from
10:55
Walmart
10:56
and
10:56
we
10:56
only
10:56
have
10:57
a
10:57
handful
10:57
of
10:57
stores
10:58
here
10:58
within,
10:58
you
10:59
know,
10:59
that
10:59
are,
11:00
are,
11:00
are
11:00
within
11:01
a
11:01
reasonable
11:01
distance
11:02
here
11:02
from
11:02
us
11:03
in
11:03
the
11:03
Twin
11:04
Cities.
11:04
And
11:04
I,
11:05
I
11:05
still
11:05
stand
11:05
by
11:06
like
11:06
there
11:06
are
11:07
a
11:07
lot
11:07
of
11:07
people,
11:08
myself
11:08
included,
11:09
who
11:09
don't
11:10
always
11:10
want
11:10
to
11:11
go
11:11
to
11:11
the
11:11
Walmart
11:12
store.
11:12
But
11:12
I
11:13
really
11:13
like
11:13
having
11:13
the
11:14
Walmart
11:14
product
11:14
delivered.
11:15
And
11:15
so
11:15
I
11:15
think
11:15
if
11:16
they
11:16
can
11:16
position
11:16
themselves
11:17
especially
11:18
in
11:18
areas
11:18
where
11:19
they're
11:19
starting
11:19
to
11:19
see
11:20
more,
11:21
some
11:21
more
11:22
of
11:22
these
11:22
high
11:22
income
11:22
shoppers
11:23
coming
11:23
in
11:23
more
11:24
online
11:24
orders,
11:25
if
11:25
they
11:25
can
11:25
do
11:25
that
11:26
even
11:26
faster.
11:26
I
11:27
think
11:27
it's
11:27
a
11:27
very
11:28
SM
11:29
move
11:29
from
11:29
Walmart
11:30
and
11:30
puts
11:30
them
11:31
even
11:31
more
11:32
closely
11:32
in
11:33
competition
11:33
with
11:34
Amazon
11:34
and
11:34
DoorDash
11:35
being
11:35
able
11:35
to
11:35
do
11:36
things
11:37
like
11:37
this
11:37
in
11:38
such
11:38
a
11:38
short
11:38
amount
11:39
of
11:39
time
11:39
because
11:39
they're,
11:40
they're
11:40
optimizing
11:41
their
11:42
operations
11:42
with
11:42
these
11:43
dark
11:43
stores.
11:43
And
11:44
I
11:44
wonder
11:44
what
11:45
we're
11:45
going
11:45
to
11:45
see
11:45
from
11:45
other
11:46
competitors,
11:46
like,
11:47
what
11:47
does
11:47
Target
11:48
do
11:48
now
11:49
that
11:49
Walmart's
11:50
speeding
11:50
this
11:50
up?
11:50
Like,
11:50
what
11:51
do
11:51
grocery
11:51
stores
11:52
do
11:52
in
11:52
order
11:53
to
11:53
compete
11:53
here?
11:53
That's
11:54
the
11:54
real
11:54
question
11:54
that
11:54
I
11:54
have
11:55
coming
11:55
out
11:55
as
11:55
this.
11:56
Yeah,
11:57
the.
11:57
There's
11:57
another
11:57
important
11:58
subtext
11:58
here
11:59
too,
11:59
Ann,
11:59
which
11:59
is
11:59
robotics
12:00
and
12:00
co
12:01
location
12:01
of
12:01
robotics
12:02
in
12:02
the
12:02
stores.
12:02
Because
12:03
that
12:03
was
12:03
the
12:04
big
12:04
talk
12:04
of
12:04
the
12:04
town
12:04
at
12:04
Walmart
12:05
for
12:05
the
12:05
past
12:05
four
12:05
or
12:06
five
12:06
years,
12:07
you
12:07
know,
12:07
and
12:07
ever
12:08
since
12:08
like
12:08
kind
12:08
of
12:08
January
12:09
when,
12:09
you
12:09
know,
12:10
they
12:10
went
12:10
through
12:10
the
12:10
whole
12:10
thing
12:10
with
12:11
alert
12:11
innovation,
12:11
that's
12:12
kind
12:12
of
12:12
sloughed
12:12
off
12:12
a
12:12
little
12:13
bit.
12:13
And
12:13
so.
12:13
Right.
12:14
And
12:14
they're
12:14
not
12:14
talking
12:14
about
12:15
robotics
12:15
being
12:15
deployed
12:16
here
12:16
too.
12:16
And
12:16
you
12:16
know,
12:17
and
12:17
they're
12:17
not
12:17
really
12:17
saying
12:17
it
12:17
too,
12:18
but
12:18
I'm,
12:18
you
12:18
know,
12:18
theorizing
12:19
that
12:19
it's
12:19
probably
12:19
a
12:19
manual
12:20
picking
12:20
process
12:21
just
12:21
given,
12:22
you
12:22
know,
12:22
how
12:22
it's
12:22
set
12:22
up
12:22
and
12:23
how
12:23
it's
12:23
being
12:23
talked
12:23
about.
12:24
So.
12:24
So
12:24
like,
12:25
where
12:25
are
12:25
they
12:25
going
12:25
with
12:25
robotics?
12:26
Is
12:26
co
12:27
location
12:27
behind
12:28
the
12:28
store,
12:28
in
12:28
the
12:28
warehouse,
12:29
you
12:29
know,
12:29
in
12:29
the
12:29
back
12:30
room
12:30
of
12:30
the
12:30
store?
12:30
Is
12:30
that
12:31
a
12:31
done
12:31
idea?
12:32
I
12:32
don't
12:32
know.
12:32
It
12:33
seems
12:33
like
12:33
it
12:33
may
12:34
be
12:34
now,
12:34
given
12:35
that
12:35
we're
12:35
not
12:35
hearing
12:36
about
12:36
that
12:36
anymore.
12:37
So
12:37
it's
12:37
important
12:37
subtext
12:38
here.
12:38
Yeah,
12:39
absolutely.
12:41
All
12:41
right.
12:41
Headline
12:41
number
12:42
two.
12:42
Wegmans
12:42
is
12:43
piloting
12:43
Instacart's
12:44
keeper
12:44
cart.
12:45
According
12:46
to
12:46
an
12:46
Instacart
12:46
press
12:47
release,
12:47
Instacart
12:48
yesterday
12:48
announced
12:49
the
12:49
launch
12:49
of
12:49
its
12:49
AI
12:50
powered
12:50
smart
12:51
cards
12:51
at
12:51
Wegman's
12:52
DeWitt
12:52
store
12:53
in
12:53
Syracuse,
12:54
New
12:54
York.
12:55
This
12:55
marks
12:56
the
12:56
first
12:56
deployment
12:56
of
12:57
kipper
12:57
carts
12:57
at
12:58
Wegmans
12:58
as
12:58
part
12:58
of
12:59
an
12:59
initial
12:59
store
12:59
program
13:00
offering
13:01
customers
13:01
a
13:01
smarter,
13:02
more
13:02
seamless
13:03
way
13:03
to
13:03
shop
13:03
in
13:03
store
13:04
caper
13:05
carts.
13:05
For
13:05
those
13:05
who
13:05
have
13:06
not
13:06
been
13:06
listening
13:06
to
13:06
Omnitop
13:07
regularly
13:08
for
13:08
the
13:08
past
13:08
five
13:09
or
13:09
so
13:09
years,
13:10
enable
13:10
customers
13:11
to
13:11
track
13:11
their
13:11
spending
13:12
and
13:12
checkout
13:12
seamlessly.
13:14
Caper
13:14
carts
13:14
automatically
13:15
recognize
13:15
items
13:16
as
13:16
they
13:16
are
13:16
dropped
13:17
into
13:17
the
13:17
cart
13:17
and
13:17
customers
13:18
can
13:18
bag
13:18
as
13:19
they
13:19
shop.
13:19
Tapping
13:20
signals
13:21
from
13:21
an
13:21
array
13:21
of
13:22
capercart
13:22
cameras,
13:23
a
13:23
digital
13:23
scale
13:24
and
13:24
location
13:25
sensors,
13:26
Wegmans
13:26
customers
13:27
can
13:27
log
13:27
into
13:27
their
13:28
shoppers
13:28
club
13:28
account
13:28
on
13:29
the
13:29
cart
13:29
screen
13:29
in
13:30
order
13:30
to
13:30
shop
13:30
with
13:30
the
13:31
caper
13:31
cart.
13:32
And
13:32
my
13:33
question
13:33
for
13:33
you
13:33
is,
13:33
is
13:34
Wegman's
13:34
capercart
13:35
pilot
13:35
a
13:35
sign
13:36
that
13:36
we
13:36
will
13:37
soon
13:38
all
13:38
be
13:38
shopping
13:39
grocery
13:40
stores
13:40
via
13:41
smart
13:41
carts?
13:41
What
13:42
do
13:42
you
13:42
think?
13:44
You
13:44
know,
13:45
I
13:45
don't
13:45
know
13:46
that
13:46
that's
13:46
what
13:46
this
13:47
indicates.
13:47
As
13:47
we
13:48
told
13:48
David
13:48
McIntosh
13:49
at
13:49
Shop
13:50
Talk
13:50
Europe,
13:50
I
13:50
love
13:51
David.
13:51
I
13:51
even
13:52
suggested
13:52
that
13:52
he
13:52
become
13:53
Fiji,
13:53
Simo's
13:54
CEO
13:54
successor
13:55
at
13:55
Instacart.
13:56
I
13:57
think
13:57
he's
13:57
doing
13:57
really
13:58
smart
13:58
things,
13:58
but
13:58
I
13:58
would
13:59
say
13:59
I'm
13:59
still
13:59
kind
14:00
of
14:00
what
14:01
the
14:01
kids
14:01
would
14:01
say
14:02
mid
14:02
on
14:03
smart
14:03
cards.
14:04
And
14:05
specifically
14:06
in
14:06
this,
14:06
in
14:06
this
14:06
use
14:07
case,
14:07
I
14:07
wasn't
14:07
able
14:07
to
14:08
see
14:08
the
14:08
current
14:08
checkout
14:09
scenario
14:09
at
14:09
Wegmans
14:10
and
14:10
DeWitt.
14:10
Like,
14:10
I
14:10
did
14:11
some
14:11
research
14:11
and
14:11
tried
14:11
to
14:12
see
14:12
if
14:12
we
14:12
could
14:12
see,
14:12
see
14:12
what
14:13
that
14:13
setup
14:13
looks
14:13
like.
14:14
So
14:14
I'm
14:14
just
14:15
going
14:15
off
14:15
of
14:15
my
14:16
experience
14:17
from
14:17
the
14:17
as
14:17
your
14:18
place
14:18
store.
14:19
And
14:19
I
14:19
think
14:20
what
14:20
is
14:20
really
14:20
important
14:21
for
14:21
Wegmans
14:22
right
14:22
now
14:22
in
14:23
that
14:23
store
14:23
and
14:24
I
14:24
imagine
14:24
in
14:24
a
14:24
lot
14:24
of
14:25
the
14:25
other
14:25
stores
14:25
with
14:25
as.
14:26
As
14:26
beloved
14:26
as
14:27
they
14:27
are
14:27
as
14:27
a
14:27
retailer,
14:28
is
14:28
that
14:28
it's
14:29
all
14:29
about
14:29
throughput,
14:30
getting
14:31
the
14:31
most
14:31
people,
14:32
especially
14:32
during
14:33
those
14:33
high
14:33
traffic
14:34
times,
14:34
through
14:35
the
14:35
store
14:35
as
14:35
quickly
14:36
as
14:36
possible.
14:36
And
14:37
I
14:37
think
14:37
the
14:37
smart
14:38
carts
14:38
here
14:39
do
14:39
enable,
14:40
you
14:40
know,
14:40
people
14:41
to
14:41
get
14:41
through
14:41
that
14:42
line
14:42
a
14:42
little
14:42
bit
14:42
more
14:42
quickly.
14:43
They
14:43
don't
14:43
have
14:43
to
14:43
go
14:43
the
14:44
self
14:44
checkout
14:44
route.
14:45
But
14:46
I
14:46
think
14:46
that
14:46
the
14:46
bigger
14:47
play
14:47
here
14:47
for
14:47
Wegmans
14:48
and
14:48
why
14:49
Wegmans
14:49
has
14:49
moved
14:50
forward
14:50
with
14:50
this
14:50
is
14:51
really
14:51
about,
14:51
you
14:52
know,
14:52
they've
14:52
just
14:52
relaunched
14:53
their
14:53
loyalty
14:54
app
14:54
that
14:54
you
14:54
just
14:54
talked
14:55
about
14:55
this
14:55
year.
14:56
And
14:56
I
14:56
think
14:56
that
14:56
the
14:57
timing
14:57
is
14:57
now
14:57
right
14:58
for
14:58
them
14:58
to
14:58
test
14:59
this
14:59
kind
14:59
of
14:59
thing,
15:00
to
15:00
test
15:00
a
15:00
smart
15:01
cart
15:02
more
15:02
from
15:02
a
15:02
consumer
15:03
targeting
15:03
perspective
15:04
and
15:04
the
15:04
money
15:04
that
15:04
they
15:04
could
15:05
bring
15:05
in
15:05
from
15:05
brands,
15:06
from
15:06
retail
15:07
media,
15:07
and
15:07
getting
15:07
to
15:08
really
15:08
understand
15:08
and
15:09
know
15:09
their
15:09
customer
15:09
a
15:10
little
15:10
bit
15:10
and
15:10
build
15:11
engagement
15:12
with
15:12
that
15:12
loyalty
15:13
app.
15:13
So,
15:14
you
15:14
know,
15:14
smart
15:14
cards,
15:15
we've
15:15
always
15:15
said
15:15
yes
15:16
from
15:16
that
15:16
perspective.
15:17
They're
15:17
a
15:17
great
15:17
play
15:18
when
15:18
you're
15:18
trying
15:19
to
15:19
learn
15:20
your
15:20
customer
15:20
to
15:21
use
15:21
it
15:21
for
15:21
retail
15:21
media
15:22
instances.
15:22
But
15:23
I
15:23
still
15:23
am
15:24
not.
15:24
If
15:24
you're,
15:24
if
15:24
you're
15:24
asking
15:25
more
15:25
broadly,
15:25
I'm
15:26
still
15:26
not
15:26
sold
15:26
on
15:27
this
15:27
idea
15:27
that
15:27
they're
15:28
the
15:28
right
15:29
move
15:29
for
15:29
everybody
15:30
everywhere.
15:30
But
15:30
what,
15:31
what,
15:31
where
15:31
do
15:31
you
15:32
sit
15:32
in
15:32
this?
15:33
Yeah,
15:33
so
15:34
you
15:34
said
15:34
you're
15:34
mid.
15:34
So
15:34
you're
15:35
kind
15:35
of
15:35
hedging
15:35
a
15:35
little
15:36
bit.
15:36
You
15:36
know,
15:36
it's
15:36
funny,
15:36
like
15:37
I
15:37
was,
15:37
I
15:37
was
15:37
on
15:38
the
15:38
negative
15:38
side
15:38
going
15:39
into
15:39
today
15:39
and
15:39
then
15:40
you
15:40
and
15:40
I
15:40
actually
15:40
just
15:40
recorded
15:41
a
15:42
webinar
15:42
conversation
15:43
with
15:43
Ethan
15:43
Chernofsky
15:44
at
15:44
Placer
15:44
AI.
15:45
And
15:45
as
15:45
I
15:46
was
15:46
sitting
15:46
there
15:46
having
15:46
that
15:46
conversation
15:47
with
15:47
him,
15:47
he
15:47
made
15:47
this
15:47
comment
15:48
about,
15:48
you
15:48
know,
15:48
at
15:49
the
15:49
end
15:49
of
15:49
the
15:49
day,
15:49
it's
15:49
about
15:50
retail
15:50
101.
15:51
It's
15:51
not
15:51
about
15:51
the
15:51
fancy
15:52
glossy
15:52
tech
15:53
that,
15:53
you
15:53
know,
15:53
gets
15:53
people
15:54
excited.
15:55
And
15:55
so
15:55
for
15:55
that
15:55
reason,
15:56
I
15:56
still
15:56
put
15:57
this
15:57
in
15:57
that
15:57
bucket.
15:58
This
15:58
is
15:58
not
15:58
retailing
15:59
101.
16:00
This
16:00
is
16:00
not
16:00
something
16:00
you
16:00
need
16:01
to
16:01
be
16:01
a
16:02
good,
16:02
effective
16:02
retailer.
16:03
See
16:03
Sprouts,
16:04
see
16:04
Trader
16:04
Joe's.
16:05
They
16:05
don't
16:05
have
16:05
this
16:05
kind
16:05
of
16:06
stuff.
16:07
So
16:07
I'm
16:07
still
16:07
not
16:08
there
16:08
that
16:08
this
16:08
is
16:09
going
16:09
to
16:09
work
16:09
in
16:09
the
16:10
long
16:10
term.
16:10
And
16:11
I
16:11
get
16:11
what's
16:11
pushing
16:11
it
16:11
100%.
16:12
It's
16:12
retail
16:13
media.
16:13
But
16:14
there
16:14
are
16:14
much
16:14
lower
16:15
hanging
16:15
pieces
16:16
of
16:16
fruit
16:16
to
16:16
capture
16:17
retail
16:17
media
16:17
dollars.
16:18
And
16:19
the
16:19
features
16:20
of
16:20
the
16:20
smart
16:20
cart
16:21
itself
16:21
just
16:21
aren't
16:22
that
16:22
big
16:22
of
16:22
a
16:22
hook
16:23
for
16:23
most
16:23
people.
16:24
And
16:24
the
16:24
one
16:24
sore
16:24
nature
16:25
of
16:25
this
16:25
test
16:25
also
16:26
frightens
16:26
me
16:26
and
16:26
because
16:27
it
16:27
means,
16:27
it
16:28
means
16:28
it's
16:28
truly
16:29
experimental.
16:30
Heck,
16:30
I
16:30
was
16:30
at
16:30
the
16:30
doctor
16:31
yesterday
16:32
and
16:32
my
16:32
nurse
16:33
asked
16:33
me
16:33
what
16:33
we,
16:34
what
16:34
I
16:34
did
16:34
and
16:34
I
16:34
told
16:35
her,
16:35
yeah,
16:35
podcaster.
16:36
And
16:37
she's
16:37
like,
16:37
and
16:37
the
16:37
other.
16:37
And
16:38
she
16:38
started
16:38
asking
16:38
me,
16:38
well
16:38
what
16:39
do
16:39
you
16:39
think
16:39
about
16:39
self
16:39
checkout?
16:40
And
16:40
she
16:40
was
16:40
younger
16:41
than
16:41
me
16:41
and
16:42
she
16:42
was
16:42
telling
16:42
me
16:42
how
16:42
she
16:43
hates
16:43
self
16:43
checkout
16:44
and
16:44
her
16:44
parents
16:45
hate
16:45
it
16:45
too.
16:45
And
16:46
so
16:46
when
16:46
I
16:46
put
16:46
that
16:47
together,
16:47
like,
16:48
you
16:48
know,
16:49
we're
16:49
not
16:49
even
16:49
in
16:49
a
16:49
place
16:50
where
16:50
a
16:50
self
16:50
checkout
16:51
machine
16:51
is
16:51
a
16:51
must.
16:51
So
16:52
I
16:52
still
16:52
have
16:52
trouble
16:52
seeing
16:53
where
16:53
retailers
16:54
are
16:54
going
16:54
to
16:54
end
16:55
up
16:55
putting
16:55
what
16:55
is
16:56
very
16:56
much
16:56
an
16:57
expensive
16:57
capital
16:58
investment
16:58
towards
16:59
deploying
16:59
smart
16:59
cards
17:00
at
17:00
scale.
17:00
And
17:01
for
17:01
that
17:01
reason,
17:01
when
17:01
I
17:01
go
17:02
back
17:02
to
17:02
what
17:02
makes
17:03
a
17:03
good
17:03
retailer,
17:03
I
17:03
just
17:04
don't
17:04
think
17:04
smart
17:04
cards,
17:05
when
17:05
you
17:05
look
17:05
at
17:05
the
17:05
costs
17:06
involved
17:06
here,
17:06
will
17:06
ever
17:07
be
17:07
a
17:07
formidable
17:08
solution
17:08
at
17:09
scale.
17:09
I
17:09
don't
17:09
know.
17:09
But
17:10
yeah,
17:10
I
17:10
mean
17:10
and
17:10
the
17:10
resources
17:11
involved
17:11
that
17:12
are,
17:12
that
17:12
go
17:13
towards
17:13
just
17:13
one
17:14
a
17:14
one
17:14
store
17:14
pilot
17:15
like
17:15
this
17:15
too.
17:15
I
17:15
mean
17:16
I
17:16
think
17:16
that's,
17:16
that's
17:17
an
17:17
important
17:17
part
17:17
of
17:17
what
17:17
you're
17:18
saying
17:18
too
17:18
is
17:19
right.
17:19
That's
17:20
dedicate
17:20
a
17:21
whole
17:21
team
17:22
to
17:23
divert
17:24
from
17:24
just
17:24
improving
17:25
traditional
17:26
checkout
17:26
in
17:27
the
17:27
the
17:27
majority
17:28
of
17:28
your
17:28
stores
17:29
to
17:29
really
17:29
kind
17:30
of
17:30
start
17:30
to
17:30
test
17:30
this
17:31
and
17:31
see
17:31
if
17:31
this
17:31
is
17:32
a
17:32
viable
17:32
option.
17:33
And
17:33
yeah
17:33
is
17:34
I
17:35
guess
17:35
the
17:35
question
17:35
still
17:36
remains
17:36
like
17:36
how
17:37
good
17:37
is
17:37
the
17:37
retail
17:38
media
17:38
opportunity
17:39
and
17:40
is
17:40
it
17:40
enough
17:40
to
17:41
pay
17:41
off
17:41
some
17:41
of
17:42
this,
17:42
this
17:42
investment?
17:43
I
17:43
don't
17:44
know
17:44
that
17:44
we'll
17:45
see
17:45
that
17:45
from
17:46
this
17:46
one
17:47
particular
17:47
piece
17:48
of
17:48
technology.
17:49
Yeah,
17:50
100%.
17:50
Yeah.
17:51
And
17:51
there's
17:51
so
17:51
many
17:51
more
17:51
things
17:52
you
17:52
could
17:52
be
17:52
doing
17:52
to
17:52
get
17:52
retail
17:53
media
17:53
dollars
17:53
that
17:53
are
17:53
cheaper
17:54
and
17:54
more
17:54
efficient,
17:55
that
17:55
don't
17:55
even
17:55
touch
17:55
your
17:56
customer
17:56
in
17:56
the
17:56
same
17:56
way.
17:57
Right,
17:58
exactly,
17:58
exactly.
17:59
Well,
17:59
we'll
18:00
see,
18:00
we'll
18:00
see.
18:01
We'll
18:01
have
18:01
to
18:01
make
18:01
a
18:01
trip
18:02
out
18:02
to
18:02
DeWitt
18:02
and
18:02
test
18:03
it
18:03
for
18:03
ourselves
18:04
with
18:05
Syracuse.
18:05
Let's
18:05
go.
18:06
Yes,
18:06
Northern
18:06
New
18:07
York,
18:07
Upstate
18:07
New
18:07
York.
18:08
Let's
18:08
do
18:08
it,
18:08
Anne.
18:09
All
18:09
right.
18:09
Headline
18:10
number
18:10
three,
18:10
Chris.
18:11
Target
18:11
is
18:11
exploring
18:12
the
18:12
factory
18:13
direct
18:13
shipping
18:13
model
18:14
used
18:14
by
18:14
temu.
18:15
According
18:15
to
18:16
Bloomberg,
18:16
Target
18:16
is
18:17
testing
18:17
a
18:17
service
18:17
that
18:17
delivers
18:18
products
18:18
directly
18:19
to
18:19
customers
18:19
homes
18:20
from
18:20
factories.
18:21
Similar
18:22
to
18:22
the
18:22
Chinese
18:23
e
18:23
commerce
18:23
platforms
18:24
Temu
18:24
and
18:24
Shein,
18:25
the
18:25
effort
18:25
aims
18:26
to
18:26
broaden
18:26
Target's
18:27
range
18:27
of
18:27
low
18:27
cost
18:27
offerings,
18:28
primarily
18:29
including
18:29
apparel,
18:30
household
18:30
goods
18:31
and
18:31
and
18:31
non
18:32
food
18:32
items.
18:33
And
18:33
it's
18:33
still
18:33
in
18:34
its
18:34
early
18:34
stages.
18:35
Most
18:35
online
18:36
orders
18:36
from
18:36
Target
18:36
and
18:37
other
18:37
US
18:37
Retailers
18:38
get
18:38
sent
18:38
to
18:38
warehouses
18:39
before
18:39
going
18:39
to
18:40
customers
18:40
via
18:41
truck
18:41
delivery.
18:42
By
18:42
shipping
18:42
directly
18:43
from
18:43
production
18:44
sites,
18:44
Target
18:44
can
18:44
offer
18:45
lower
18:45
prices
18:45
and
18:46
potentially
18:46
increase
18:47
market
18:47
share
18:47
among
18:48
discounters.
18:49
The
18:49
X
18:49
factor
18:50
remains
18:50
the
18:50
US
18:51
Government's
18:51
move
18:52
to
18:52
close
18:52
the
18:52
so
18:53
called
18:53
de
18:53
minimis
18:53
exception,
18:54
which
18:54
for
18:55
years
18:55
allowed
18:55
Shein
18:56
and
18:56
Teemu
18:56
to
18:57
capture
18:57
market
18:57
share
18:57
by
18:57
shipping
18:58
orders
18:58
of
18:58
less
18:58
than
18:58
$800
18:59
to
18:59
US
19:00
customers
19:00
duty
19:01
free
19:01
free.
19:01
The
19:02
change
19:02
has
19:02
eroded
19:03
performance
19:03
at
19:03
both
19:03
companies
19:04
and
19:04
could
19:04
also
19:05
impact
19:05
direct
19:06
shipping
19:06
efforts
19:06
of
19:06
Target
19:07
and
19:07
other
19:07
retailers.
19:08
Nevertheless,
19:09
Chris,
19:10
you
19:10
have
19:10
taken
19:10
a
19:10
few
19:11
shots
19:11
at
19:11
Target
19:11
on
19:11
this
19:12
podcast
19:12
recently.
19:13
So
19:13
are
19:13
you
19:14
pro
19:14
or
19:14
con
19:15
Target
19:15
exploring
19:16
this
19:16
factory
19:16
direct
19:17
model?
19:18
I
19:19
I
19:19
actually
19:19
love
19:19
this.
19:20
I
19:20
think
19:20
it's
19:20
a
19:20
great
19:20
defensive
19:21
move
19:21
as
19:22
well
19:22
as
19:22
a
19:22
great
19:22
offensive
19:23
move.
19:23
Because
19:23
you
19:24
know,
19:24
Target
19:24
to
19:24
me,
19:25
yeah,
19:25
it's
19:25
I
19:26
swear
19:26
to
19:26
God.
19:26
And
19:26
like
19:26
I
19:26
know
19:27
it
19:27
surprised
19:27
me.
19:27
When
19:27
I
19:27
read
19:27
it
19:28
even,
19:28
even
19:28
with
19:28
the,
19:29
even
19:29
with
19:29
the
19:29
like
19:29
de
19:30
minimis
19:31
exceptions
19:31
being
19:33
reconsidered
19:33
by
19:33
the
19:34
government.
19:34
Yeah,
19:34
I
19:35
think
19:35
that's,
19:35
I
19:35
think
19:35
that's
19:36
something
19:36
we
19:36
have
19:36
to
19:36
figure
19:36
out.
19:37
But
19:37
I
19:37
think
19:37
that
19:37
can
19:37
be
19:37
calibrated
19:38
in
19:38
terms
19:38
of
19:38
pricing
19:39
and
19:39
what
19:39
the
19:39
expectations
19:39
are
19:40
for
19:40
the
19:40
customer
19:40
that
19:40
you
19:41
set
19:41
over
19:41
time
19:41
too.
19:42
And
19:42
God
19:42
knows
19:42
where
19:43
those
19:43
things
19:43
are
19:43
going
19:43
to
19:43
fall
19:43
out
19:43
in
19:44
the
19:44
long
19:44
run
19:44
too.
19:44
But
19:45
you
19:45
know,
19:45
I
19:45
love
19:45
it
19:46
because
19:46
I
19:47
think
19:47
Target
19:48
has
19:48
the
19:48
sourcing
19:49
and
19:49
brand
19:50
credibility
19:50
in
19:50
the
19:51
apparel
19:51
and
19:51
home
19:51
space
19:52
to
19:52
do
19:52
this
19:52
better
19:52
than
19:53
anyone,
19:53
to
19:53
do
19:53
it
19:53
better
19:54
than
19:54
she
19:54
and
19:54
Timu,
19:55
honestly.
19:56
And
19:56
they
19:56
could
19:56
do
19:56
it
19:56
in
19:56
a
19:57
way
19:57
that
19:57
keeps
19:57
the
19:57
price
19:58
value
19:59
relationships
19:59
strong
20:00
in
20:00
the
20:00
minds
20:00
of
20:00
their
20:00
consumers.
20:01
In
20:02
fact,
20:02
and
20:02
I
20:02
you
20:03
might
20:03
not
20:03
remember
20:03
this,
20:04
I
20:04
don't
20:04
even
20:04
remember
20:04
how
20:04
long
20:05
ago
20:05
it
20:05
was,
20:05
but
20:06
I
20:06
mentioned
20:06
on
20:06
a
20:06
previous
20:07
podcast
20:08
how
20:08
the
20:08
president
20:08
of
20:09
Target
20:09
Sourcing
20:10
Services
20:10
and
20:11
I
20:11
Tim
20:11
Mantel
20:12
was
20:12
his
20:12
name
20:12
at
20:12
the
20:12
time.
20:13
Back
20:13
in
20:13
2008,
20:14
in
20:14
2013,
20:15
we
20:15
hypothesized
20:16
about
20:16
doing
20:17
this
20:17
with
20:17
Rugs
20:18
direct
20:18
from
20:18
factory.
20:20
And
20:20
the
20:20
reason,
20:20
and
20:21
the
20:21
reason
20:21
I
20:21
love
20:21
it
20:21
is
20:22
because
20:22
for
20:23
the
20:23
categories
20:23
for
20:23
which
20:23
Target
20:24
is
20:24
known,
20:24
particularly
20:25
home
20:25
and
20:25
apparel,
20:26
it
20:26
provides
20:27
the
20:27
opportunity
20:28
to
20:28
never
20:28
be
20:29
out
20:29
of
20:29
stock
20:29
online.
20:30
That's
20:30
what
20:30
I
20:30
like
20:30
about
20:31
this
20:31
and
20:31
that's
20:31
a
20:31
mental
20:32
flip
20:32
that
20:32
I
20:32
would
20:32
recommend
20:33
everyone
20:33
listening
20:34
to
20:34
this
20:34
podcast
20:35
do
20:35
in
20:35
assessing
20:36
this
20:36
headline.
20:36
Think
20:37
about
20:37
what
20:37
that
20:38
means
20:38
if
20:38
you
20:38
could
20:38
set
20:38
up
20:39
your
20:39
sourcing
20:39
structure
20:40
to
20:40
go
20:40
direct
20:40
from
20:40
factory
20:41
to
20:41
never
20:42
be
20:42
out
20:42
of
20:42
stock
20:42
online.
20:43
Sure,
20:43
you
20:43
have
20:44
to
20:44
communicate
20:44
the
20:44
expectations
20:45
and
20:45
the
20:45
cost
20:46
of
20:46
the
20:46
consumer,
20:46
but
20:47
that's
20:47
a
20:47
really
20:47
advantageous
20:48
position
20:48
to
20:49
put
20:49
yourselves
20:49
in.
20:49
And
20:50
Target
20:50
has
20:50
the
20:50
reputation
20:51
to
20:51
do
20:51
that
20:51
better
20:52
than
20:52
anyone
20:52
at
20:52
home
20:52
and
20:53
apparel.
20:54
So
20:54
that's
20:54
what
20:55
I
20:55
like
20:55
about
20:55
this.
20:56
That's
20:56
the
20:56
customer
20:57
value.
20:57
There's
20:58
growth
20:58
that
20:58
can
20:59
come
20:59
from
20:59
this
21:00
and
21:00
minimally.
21:00
I
21:00
think
21:01
the
21:01
other
21:01
point
21:01
about
21:01
this
21:01
I
21:02
mentioned
21:02
at
21:02
the
21:02
outset,
21:03
it
21:03
stems
21:03
the
21:04
slow
21:04
breed
21:04
from
21:04
Temu
21:05
and
21:05
Shein.
21:06
And
21:06
also
21:06
it
21:06
helps
21:07
your
21:07
product
21:07
development
21:07
too
21:08
because
21:08
you're
21:08
going
21:08
to
21:08
get
21:08
faster
21:09
and
21:09
sharper
21:10
on
21:10
the
21:10
small
21:10
batch
21:11
production
21:11
runs.
21:11
You
21:12
can
21:12
run
21:12
through
21:12
this
21:12
as
21:12
well
21:13
before
21:13
you
21:13
place
21:14
the
21:14
bigger
21:14
bets
21:14
on
21:15
your
21:15
assortment,
21:15
which
21:16
are
21:16
quite,
21:17
very
21:17
substantial
21:18
bets
21:18
that
21:18
you
21:18
have
21:18
to
21:19
get
21:19
right
21:19
when
21:19
you're
21:20
deploying
21:20
that
21:20
amount
21:21
of
21:21
product
21:21
into
21:21
a
21:21
store.
21:22
So
21:22
that's
21:22
my
21:22
take.
21:22
What
21:23
do
21:23
you
21:23
think?
21:23
Do
21:23
you
21:23
like
21:23
it
21:23
just
21:24
as
21:24
much?
21:25
I
21:25
don't
21:25
know.
21:26
You're
21:26
not
21:26
as
21:26
big
21:26
on
21:27
it.
21:27
Wow,
21:27
I'm
21:28
not.
21:28
Because
21:28
I
21:29
think
21:29
that
21:29
we're,
21:30
I
21:30
think
21:31
we're,
21:31
you're
21:31
looking
21:31
at
21:32
target
21:33
back
21:34
in
21:34
2013.
21:35
I
21:35
would,
21:35
I
21:36
would
21:36
challenge
21:36
whether
21:37
or
21:37
not
21:37
Target
21:38
still
21:38
has
21:40
the,
21:40
the
21:41
credibility
21:42
in
21:42
these
21:42
categories
21:44
that
21:44
they
21:45
did
21:45
back
21:45
then.
21:46
I
21:46
think
21:46
that,
21:47
you
21:47
know,
21:47
we
21:48
mentioned,
21:48
we
21:48
talked
21:49
to,
21:50
we
21:50
talked
21:50
to
21:50
Ethan
21:51
Chernofsky
21:51
recently.
21:53
This
21:53
morning
21:53
we
21:53
were
21:53
recording
21:54
about
21:54
like,
21:54
you
21:54
know,
21:55
what,
21:55
what,
21:55
what
21:56
should
21:56
retailers
21:56
be
21:56
thinking
21:57
about
21:57
doing?
21:57
And
21:57
I,
21:58
I
21:58
think
21:58
Target
21:59
still
21:59
has
22:00
this
22:00
challenge
22:01
of
22:01
really
22:01
getting
22:01
back
22:02
to
22:03
putting
22:03
a
22:03
flag
22:03
in
22:04
the
22:04
sand
22:04
and
22:04
really
22:05
standing
22:05
for
22:05
something
22:06
and
22:06
their
22:06
perspective
22:07
on
22:07
product
22:08
and
22:08
especially
22:09
in
22:10
home
22:10
categories
22:11
that
22:11
they
22:11
were
22:11
really
22:11
big
22:12
in.
22:12
Because
22:12
I
22:12
think
22:12
you
22:12
look
22:13
at
22:13
the
22:13
compliment,
22:13
the
22:14
competition,
22:14
Chris,
22:15
you
22:15
look
22:15
at
22:15
Temu,
22:16
you
22:16
look
22:16
at
22:16
Shein,
22:17
you
22:17
look
22:17
at
22:17
Walmart,
22:17
you
22:18
look
22:18
at
22:18
Wayfair
22:18
like
22:19
they're
22:20
doing
22:20
a
22:21
really
22:21
great
22:21
job
22:22
right
22:22
now
22:22
of
22:23
providing
22:24
product
22:24
that
22:25
is
22:25
unique,
22:26
that
22:26
has
22:26
a
22:26
point
22:27
of
22:27
view
22:27
that
22:27
isn't
22:27
just
22:28
like
22:28
run
22:28
of
22:28
the
22:28
mill.
22:29
We're
22:29
trying,
22:29
even
22:29
Amazon,
22:30
like
22:30
we're
22:31
trying
22:31
to
22:31
just
22:31
replicate
22:32
it
22:32
and
22:32
make
22:32
it
22:32
as
22:33
big
22:33
and
22:33
bold
22:33
as
22:33
we
22:33
can.
22:34
I
22:34
think
22:35
you're
22:35
seeing
22:37
more
22:37
competition
22:38
in
22:38
this
22:38
space
22:38
and
22:38
I
22:39
worry
22:39
that
22:39
Target
22:40
going
22:40
this
22:40
route
22:41
now
22:41
is
22:42
a
22:42
little,
22:42
is
22:43
too
22:43
little
22:43
too
22:43
late
22:44
and
22:45
you're
22:45
gonna
22:45
like
22:46
you're
22:46
not,
22:46
you're
22:47
now
22:47
competing
22:47
on
22:47
price
22:48
and
22:48
I
22:48
don't
22:48
think
22:49
that's
22:49
something
22:49
that
22:49
Target's
22:50
going
22:50
to
22:50
win
22:50
on
22:51
when
22:52
it
22:52
comes
22:52
to
22:52
these
22:52
products.
22:53
I
22:53
think
22:53
Walmart,
22:54
Amazon
22:55
can
22:55
offer
22:56
a
22:56
better
22:56
price
22:57
point
22:57
and,
22:57
and
22:58
comparable
22:58
product.
22:59
And
22:59
so
22:59
that's
22:59
what
23:00
I
23:00
worry
23:00
about
23:00
here.
23:01
Like,
23:01
I
23:01
think
23:01
it's
23:01
a
23:01
good
23:02
move
23:02
from
23:02
Target
23:03
to
23:03
get
23:03
into
23:04
this
23:04
and
23:04
do
23:04
this,
23:05
but
23:05
I,
23:05
I
23:05
question
23:06
whether
23:06
or
23:06
not
23:07
they're
23:07
in
23:07
a
23:07
position
23:07
to
23:08
win
23:08
when
23:08
you
23:09
start
23:09
putting
23:10
them
23:10
in
23:10
a
23:10
price
23:10
race
23:11
for
23:11
product
23:12
against
23:12
Amazon
23:13
and
23:13
Walmart.
23:14
Wow,
23:14
I'm
23:14
blown
23:15
away.
23:15
Okay,
23:15
so
23:15
hold
23:15
on
23:15
a
23:16
sec.
23:16
So
23:16
you're
23:16
basically
23:17
saying
23:17
that
23:17
you
23:18
don't
23:18
think
23:18
Target
23:18
has
23:19
the
23:19
brand
23:19
reputation
23:20
anymore
23:20
in
23:21
home
23:21
and
23:21
apparel.
23:22
The
23:22
Target
23:23
reputation,
23:23
the
23:24
design
23:24
for
23:24
all
23:24
reputation,
23:25
the
23:25
brand
23:26
ethos
23:26
of
23:27
expect
23:27
more,
23:27
pay
23:28
less
23:28
to
23:28
be
23:28
able
23:28
to
23:28
pull
23:29
this
23:29
off.
23:29
That's
23:29
what
23:29
you're
23:30
saying?
23:30
I,
23:31
I
23:31
don't
23:31
know.
23:31
I
23:32
really
23:32
think
23:33
it's
23:33
a
23:34
question
23:34
in
23:34
your
23:34
head,
23:34
right?
23:35
It's
23:35
a
23:35
question
23:35
in
23:36
my
23:36
head
23:36
that
23:36
is
23:37
going
23:37
to.
23:38
Is
23:38
this,
23:38
is
23:39
this
23:39
a
23:39
mode
23:39
that
23:39
I'd
23:40
be
23:40
working
23:40
on?
23:41
I
23:41
mean,
23:41
if
23:41
it
23:41
were
23:42
me,
23:42
I
23:42
think
23:42
I'd
23:42
be
23:42
putting
23:43
more
23:43
of
23:43
my
23:43
resources
23:44
towards
23:44
building
23:45
up
23:45
the
23:45
marketplace
23:46
so
23:46
that
23:46
they're
23:46
showing
23:46
up
23:47
in
23:47
more
23:47
places.
23:48
Oh,
23:48
100%.
23:48
I'd
23:48
be
23:49
doing
23:49
that
23:49
too.
23:49
Yeah.
23:50
It's
23:50
not
23:50
question.
23:51
Not
23:51
that
23:51
it's
23:51
an
23:51
either
23:52
or,
23:52
but
23:52
I
23:52
think
23:52
that's
23:53
where
23:53
I
23:53
would
23:53
be
23:54
levering
23:54
up
23:54
is
23:55
like,
23:55
okay,
23:55
the
23:56
real
23:56
point
23:56
of
23:57
differentiation
23:58
or
23:58
if
23:58
I
23:58
really
23:58
want
23:59
to
23:59
continue
23:59
to
23:59
get
23:59
consumers
24:00
into
24:00
my
24:01
store,
24:01
I'm
24:01
working
24:02
on
24:02
not
24:03
having,
24:03
you
24:03
know,
24:03
1100
24:04
items
24:05
in
24:05
my
24:05
marketplace.
24:06
It's
24:06
really
24:06
building
24:07
this
24:07
out.
24:08
Right.
24:08
And
24:08
using
24:09
my
24:09
creative
24:10
like
24:11
that,
24:11
that
24:12
magic
24:12
that
24:12
used
24:13
to
24:13
be
24:13
there
24:13
for
24:13
Target
24:14
and
24:14
really
24:14
applying
24:15
that
24:15
to
24:15
the
24:16
products
24:16
that,
24:16
that,
24:16
that
24:17
you
24:17
are
24:17
even
24:17
talking
24:17
about.
24:18
Like,
24:18
how
24:18
do
24:18
I.
24:18
Why
24:19
do
24:19
I
24:19
go
24:19
to
24:19
Target?
24:20
I
24:20
go
24:20
to
24:20
Target
24:20
because
24:21
they're
24:21
bringing
24:22
design
24:22
to
24:22
the
24:22
masses.
24:23
They're
24:23
really,
24:23
like,
24:24
edging
24:25
and
24:25
putting
24:26
a,
24:26
like,
24:26
putting
24:27
their
24:27
place,
24:27
their
24:28
Target,
24:29
into
24:29
design.
24:30
And
24:30
I
24:30
feel
24:31
like
24:31
right
24:31
now
24:32
this
24:32
just
24:32
feels
24:33
like
24:33
a
24:33
total
24:34
move
24:34
towards,
24:34
like,
24:35
how
24:35
do
24:35
we
24:35
just
24:36
stay
24:36
competitive,
24:37
not
24:37
focused
24:37
on
24:37
how
24:38
are
24:38
we
24:38
differentiating
24:39
and
24:39
being
24:39
that
24:39
Target
24:40
that
24:40
we
24:40
used
24:40
to
24:41
be.
24:41
Right.
24:42
And
24:42
let
24:42
me
24:42
be
24:42
clear,
24:42
too.
24:43
I
24:43
100%
24:43
agree
24:43
with
24:43
you
24:44
on
24:44
the
24:44
marketplace.
24:44
In
24:44
fact,
24:44
like,
24:45
I'd
24:45
be
24:45
hitting
24:45
the
24:45
gas
24:46
pedal
24:46
to
24:46
the
24:46
metal
24:47
on
24:47
the
24:47
marketplace,
24:48
and
24:48
I
24:48
think
24:48
this
24:48
is
24:48
more
24:49
of
24:49
a
24:49
slow
24:49
grow.
24:50
But
24:50
the
24:50
important
24:50
point
24:50
here
24:51
that
24:51
I
24:51
want
24:51
to
24:51
make
24:51
sure
24:51
is,
24:51
is
24:52
you
24:52
have
24:52
a
24:52
question
24:53
about
24:53
whether.
24:53
So
24:53
do
24:54
you
24:54
think
24:54
they
24:54
can
24:54
get
24:54
it
24:54
back?
24:55
Do
24:55
you
24:55
think
24:55
they
24:56
can
24:56
get
24:56
their
24:56
brand
24:56
cachet
24:57
back?
24:57
Or
24:58
do
24:58
you
24:58
think.
24:58
Are
24:58
you
24:58
worried
24:59
that
24:59
it's
24:59
gone?
25:00
Because.
25:00
No,
25:00
like,
25:01
I
25:01
would
25:01
think.
25:01
I
25:01
would
25:01
think
25:01
with
25:02
a
25:02
merchandising
25:02
regime
25:03
change
25:03
or
25:03
something,
25:04
you
25:04
could
25:04
get
25:04
somebody
25:05
in
25:05
there
25:05
that
25:05
you
25:06
know,
25:06
understands
25:07
what
25:07
this
25:07
brand
25:07
is
25:07
about
25:07
and
25:08
get
25:08
it
25:08
back.
25:09
But,
25:10
you
25:10
know,
25:10
do
25:10
you
25:10
think
25:10
the
25:11
same
25:11
are
25:11
you
25:11
hope.
25:11
I
25:12
mean,
25:12
what.
25:12
Yes,
25:13
absolutely.
25:13
I
25:13
absolutely
25:14
think
25:14
they
25:14
can
25:14
get
25:15
it
25:15
back.
25:15
I
25:15
think
25:16
that
25:16
the,
25:16
that
25:17
crazy
25:17
you're
25:18
saying
25:18
this,
25:18
this,
25:19
this
25:20
leadership
25:21
at
25:21
Target
25:21
right
25:22
now,
25:22
I
25:22
think
25:22
is,
25:23
has
25:23
become
25:24
so
25:24
focused
25:24
post
25:25
pandemic
25:25
on,
25:26
oh
25:26
my
25:26
God,
25:27
we
25:27
got
25:27
to
25:27
compete,
25:27
we
25:27
got
25:28
to
25:28
keep
25:28
that,
25:28
that,
25:29
you
25:29
know,
25:29
momentum
25:30
going
25:30
that
25:30
we
25:30
saw
25:30
during
25:31
the
25:31
pandemic
25:32
that
25:32
the
25:32
focus
25:32
has
25:33
shifted
25:33
from
25:34
being
25:34
uniquely
25:35
Target
25:35
to
25:36
trying
25:36
to
25:36
compete
25:37
with
25:37
our
25:37
competitors.
25:38
And
25:39
I
25:39
think
25:39
that
25:39
in
25:40
order
25:40
for
25:40
Target
25:40
to
25:41
turn
25:41
around,
25:41
they
25:42
are
25:42
going
25:42
to
25:42
have
25:43
to
25:43
focus
25:43
on
25:43
being
25:44
uniquely
25:44
Target
25:44
again
25:45
and
25:45
prioritizing
25:47
what
25:47
that
25:47
means
25:48
as
25:48
a
25:48
culture
25:49
at
25:49
Target,
25:50
as
25:50
a.
25:50
And
25:50
I
25:50
didn't
25:50
mean
25:51
for
25:51
this
25:51
to
25:51
be
25:51
like
25:52
the
25:52
Target
25:52
turnaround
25:53
story
25:53
by
25:53
any
25:54
means,
25:54
but.
25:54
No,
25:55
it's
25:55
going
25:55
there.
25:57
But
25:57
yeah,
25:57
I
25:57
think,
25:58
I
25:58
think
25:58
that's
25:58
what
25:59
really
26:00
where
26:00
Target
26:00
has
26:01
to
26:01
go
26:01
in
26:02
order
26:02
to
26:02
kind
26:03
of
26:03
come
26:03
back
26:03
and,
26:04
and
26:04
see
26:04
this
26:05
turnaround.
26:05
And
26:05
I
26:05
don't
26:06
know
26:06
that
26:06
that's
26:06
happening
26:08
with
26:08
things
26:09
staying
26:09
the
26:09
way
26:09
that
26:10
they
26:10
are
26:10
and
26:10
with,
26:11
you
26:11
know,
26:11
these
26:11
types
26:12
of
26:12
investments
26:13
being
26:13
as
26:13
heavily
26:13
focused
26:14
on
26:14
as
26:14
they
26:14
are.
26:15
Yeah,
26:16
that's,
26:16
that's
26:16
actually
26:16
why
26:16
I
26:17
like,
26:17
that's
26:17
kind
26:17
of
26:17
why
26:17
I
26:17
like
26:18
the
26:18
move
26:18
too,
26:18
because
26:18
I
26:19
think
26:19
it
26:19
actually,
26:19
if
26:19
you
26:19
had
26:20
good
26:20
merch,
26:20
if
26:20
you
26:21
had
26:21
the
26:21
merchandising
26:22
turned
26:22
around
26:22
and
26:23
you
26:23
got
26:23
the
26:23
brand
26:23
back,
26:24
I
26:24
think
26:24
it
26:24
actually
26:24
gives
26:25
you
26:25
a
26:25
bullet
26:25
in
26:25
the
26:25
chamber
26:26
to
26:26
absolutely
26:27
promote
26:27
what
26:27
Target
26:28
is
26:28
about
26:28
even
26:29
more.
26:30
And
26:30
a
26:30
lot
26:30
of
26:30
people
26:30
online
26:31
were,
26:31
you
26:31
know,
26:31
kind
26:31
of
26:31
coming
26:32
at
26:32
me
26:32
saying,
26:32
like,
26:32
I
26:33
think
26:33
they
26:33
need
26:33
to
26:33
invest
26:33
in
26:33
stores
26:34
and
26:34
100%
26:35
they
26:35
need
26:35
to
26:35
get
26:35
their
26:36
store
26:36
experience
26:36
right
26:36
too.
26:37
But
26:37
I
26:37
think
26:37
you've
26:37
got
26:38
to,
26:38
you've
26:38
got
26:38
to
26:38
position
26:38
the
26:39
bets,
26:39
and
26:39
this
26:39
is
26:39
one
26:40
in
26:40
the
26:40
portfolio
26:41
of
26:41
bet
26:41
and
26:41
capital
26:42
that
26:42
I
26:42
think
26:42
actually
26:43
makes
26:43
a
26:43
ton
26:43
of
26:43
sense.
26:44
But
26:44
wow,
26:44
I
26:44
did
26:45
not
26:45
expect
26:45
you
26:46
to
26:46
say
26:46
that
26:47
and
26:47
that
26:47
that's
26:48
a
26:48
big
26:48
shot
26:48
call
26:49
right
26:49
there.
26:49
I
26:49
mean,
26:49
you
26:49
know,
26:50
a
26:50
big
26:50
shot
26:50
fired
26:50
actually,
26:51
you
26:51
know,
26:51
in
26:51
terms
26:51
of
26:51
where
26:52
Target's
26:52
brand
26:52
stands
26:53
right
26:53
now.
26:53
All
26:53
right,
26:53
well,
26:53
let's.
26:54
Before
26:54
we
26:54
go
26:54
on
26:55
to
26:55
headline
26:55
four,
26:55
let's
26:56
welcome
26:56
Troy
26:56
onto
26:57
the
26:57
show
26:57
following
26:58
that
26:58
riveting
26:58
discussion.
27:01
Joining
27:01
us
27:01
now
27:01
for
27:01
five
27:02
insightful
27:02
minutes
27:03
is
27:03
G
27:03
Stores,
27:03
Troy
27:04
Sewick
27:04
to
27:05
share
27:05
his
27:05
tried
27:05
and
27:06
true
27:06
tips
27:06
on
27:07
tech
27:07
for
27:07
the
27:08
world's
27:08
smartest
27:09
stores.
27:09
Troy,
27:10
many
27:10
retailers
27:11
are
27:11
looking
27:11
at
27:11
tech
27:11
like
27:11
RFID
27:12
and
27:12
inventory
27:13
management
27:13
software
27:14
to
27:14
be
27:14
more
27:14
agile
27:15
as
27:15
they
27:15
encounter
27:16
more
27:16
and
27:16
more
27:16
market
27:17
uncertainty.
27:18
What
27:18
tech
27:18
is
27:19
critical
27:19
for
27:19
stores
27:20
to.
27:20
Have
27:20
right
27:21
now,
27:21
it's
27:21
not
27:22
just
27:22
about
27:22
knowing
27:23
what's
27:23
in
27:23
stock,
27:24
it's
27:24
about
27:24
being
27:25
able
27:25
to
27:25
move
27:25
fast
27:26
when
27:26
things
27:26
change
27:27
in
27:27
the
27:27
store.
27:28
So
27:28
the
27:28
smartest
27:29
stores
27:29
are
27:29
using
27:30
RFID
27:31
in
27:31
their
27:31
inventory
27:32
systems
27:32
as
27:33
a
27:33
foundation,
27:34
but
27:35
then
27:35
they're
27:35
layering
27:35
on
27:36
tech
27:36
on
27:37
top
27:37
of
27:37
that
27:37
that
27:37
helps
27:38
them
27:38
react
27:38
faster.
27:39
So
27:39
think
27:39
about
27:40
visibility,
27:41
exception
27:42
based
27:42
workflows,
27:43
predictive
27:44
alerts.
27:45
So
27:45
not
27:45
just
27:46
dashboards
27:47
that
27:48
are
27:48
kind
27:48
of
27:48
collecting
27:49
dust,
27:49
but
27:50
stuff
27:50
that
27:50
really
27:51
actions
27:51
the
27:51
store
27:51
associates
27:52
and
27:52
the
27:52
people
27:53
that
27:53
work
27:53
in
27:53
the
27:53
stores
27:53
what
27:54
to
27:54
do,
27:55
you
27:55
know,
27:55
telling
27:55
them,
27:55
telling
27:56
them
27:56
what
27:56
to
27:56
do.
27:57
And
27:57
if
27:57
you,
27:58
for
27:59
retailers
27:59
that
28:00
have
28:00
some
28:00
of
28:00
this
28:01
technology
28:01
but
28:01
the
28:01
older
28:02
version
28:02
like
28:02
the
28:03
handheld
28:04
RFID
28:04
readers,
28:05
that's
28:06
perfect.
28:06
So
28:07
keep
28:07
that
28:08
and
28:08
you
28:09
can
28:09
build
28:09
on
28:09
that
28:10
with
28:10
the
28:10
overhead
28:11
systems
28:11
and
28:11
the
28:11
newer
28:12
tech.
28:13
The
28:13
handhelds
28:14
still
28:14
come
28:14
into
28:14
play
28:14
and
28:15
still
28:15
have
28:15
a
28:15
purpose.
28:16
So
28:16
the
28:16
overhead
28:17
readers
28:17
we're
28:17
deploying
28:18
now
28:18
eliminate
28:19
the
28:19
manual
28:19
work
28:20
and
28:21
give
28:21
stores
28:21
and
28:22
associates
28:22
time
28:23
back.
28:23
So
28:23
it's
28:23
not
28:23
replacing
28:24
the
28:24
people,
28:24
it's
28:25
helping
28:25
them
28:25
focus
28:25
on
28:26
what
28:26
drives
28:27
sales
28:27
and
28:27
engagement
28:28
with
28:28
the
28:28
customers.
28:29
And
28:29
not
28:30
counting
28:30
socks
28:31
in
28:31
the
28:31
back
28:31
of
28:32
the
28:32
store.
28:32
What
28:32
if
28:33
you're
28:33
a
28:33
mass
28:33
retailer
28:34
though,
28:34
that
28:34
might
28:35
have
28:35
some
28:35
items
28:36
that
28:36
are
28:36
RFID
28:36
tagged,
28:37
but
28:37
not
28:37
all
28:37
of
28:38
them.
28:38
What,
28:38
what
28:38
tech
28:39
or
28:39
what
28:39
solutions
28:40
do
28:40
you
28:40
put
28:40
in
28:40
place
28:41
if
28:41
that's
28:41
the.
28:41
Scenario
28:43
and
28:43
that's
28:43
most
28:44
of
28:44
them,
28:45
I
28:45
think
28:46
there
28:46
aren't
28:47
100%
28:48
or
28:48
many
28:49
aren't
28:49
even
28:49
50%
28:51
RFID
28:52
tag.
28:53
So
28:53
it's
28:53
just
28:53
a
28:54
playbook
28:54
that
28:55
has
28:55
to
28:55
be
28:55
considered
28:56
where
28:56
you
28:56
have
28:56
overhead
28:57
RFID
28:57
for
28:58
the
28:58
fast
28:58
moving
28:59
apparel
28:59
type
28:59
of
28:59
items.
29:01
You
29:01
keep
29:01
your
29:01
handheld
29:02
scanning
29:03
systems
29:03
for
29:03
other
29:03
RFID
29:04
that
29:04
aren't
29:05
as
29:05
conducive
29:05
for
29:05
overhead.
29:06
And
29:06
then
29:07
now
29:07
we're
29:07
seeing
29:08
a
29:09
lot
29:09
of
29:09
piloting
29:10
around
29:10
computer
29:11
vision
29:11
and
29:11
that's
29:11
where
29:12
this
29:12
is
29:12
going
29:12
to
29:12
go.
29:13
So
29:13
cameras
29:14
looking
29:14
at
29:15
things,
29:16
you
29:16
know,
29:16
and,
29:17
and
29:17
figuring
29:18
out
29:18
what
29:18
your
29:18
stock
29:18
is
29:20
combined
29:20
with
29:20
RFID
29:21
and
29:21
then
29:21
combined
29:22
with
29:22
older
29:22
school
29:23
solutions
29:23
like
29:23
handheld
29:24
readers
29:24
and
29:24
POS
29:25
data,
29:26
all
29:27
that
29:27
combined
29:27
for
29:27
those
29:28
big
29:28
stores
29:28
will,
29:29
will
29:29
be
29:29
the
29:29
answer
29:29
in
29:30
the
29:30
future.
29:31
Well,
29:31
I
29:31
love
29:31
that
29:31
older
29:32
school
29:32
solutions.
29:33
All
29:33
right,
29:33
so,
29:33
so
29:34
if
29:34
I'm
29:34
a
29:34
retail
29:34
executive
29:35
listening
29:35
right
29:35
now,
29:35
Troy,
29:36
and,
29:36
and
29:36
I'm,
29:37
I
29:37
want
29:37
to,
29:37
and
29:37
I'm
29:37
bought
29:38
in
29:38
on
29:38
this
29:38
whole
29:38
smart
29:38
store
29:39
idea.
29:39
What
29:39
does
29:39
a
29:39
smart
29:40
store
29:40
pilot
29:40
look
29:41
like
29:41
and
29:41
how
29:42
long
29:42
does
29:42
it
29:42
take
29:42
to
29:42
get
29:43
a
29:43
pilot
29:43
up
29:43
and
29:43
running?
29:44
Yeah,
29:45
so
29:46
it
29:47
wasn't
29:47
always
29:47
this
29:48
way
29:48
and
29:48
we
29:48
weren't
29:49
always
29:49
this
29:49
good,
29:50
but
29:50
we've
29:50
become
29:50
pretty
29:50
good
29:51
at
29:51
moving
29:51
fast.
29:52
So
29:52
a
29:53
typical
29:53
pilot
29:54
takes
29:54
60
29:55
to
29:55
90
29:55
days
29:56
to
29:56
kick
29:56
from
29:57
time
29:57
you
29:57
kick
29:57
it
29:57
off
29:58
until
29:59
getting
29:59
insights
30:00
from
30:00
that
30:00
pilot.
30:02
So,
30:02
you
30:03
know,
30:03
there's
30:03
plugging
30:04
in
30:04
things
30:04
and
30:04
there's
30:04
installing
30:05
things,
30:05
but
30:05
it's
30:06
not
30:06
about
30:06
plugging
30:07
in
30:07
sensors
30:07
and
30:07
waiting.
30:08
It's
30:08
kind
30:09
of
30:09
like
30:09
live
30:10
fire
30:10
testing
30:10
with
30:11
the
30:11
store
30:11
associates.
30:13
So
30:14
does
30:14
it
30:14
reduce
30:14
the
30:15
BOPIS
30:15
misses
30:16
or
30:16
the
30:16
skips
30:17
in
30:17
the
30:17
BOPIS
30:18
process
30:18
or
30:19
does
30:20
it
30:20
help
30:20
associates
30:21
find
30:22
products
30:22
faster
30:22
to
30:23
help
30:23
the
30:23
customer?
30:24
Are
30:24
we
30:24
saving
30:25
labor
30:26
and
30:26
focusing
30:27
on
30:27
what's
30:27
really
30:27
important
30:28
for
30:28
sales?
30:29
So,
30:30
you
30:30
know,
30:30
a
30:31
lot
30:31
of
30:31
pilots
30:32
are
30:32
tech
30:32
showcases.
30:33
That's
30:33
what
30:33
you'll
30:34
see
30:34
when
30:34
you
30:34
go
30:34
to
30:35
customers
30:35
and
30:36
clients.
30:37
That's
30:38
not
30:38
what
30:38
these
30:38
should
30:38
be.
30:39
They
30:39
should
30:39
be
30:39
behavior
30:40
changing
30:40
labs
30:41
where
30:41
we
30:41
change
30:41
how
30:41
the
30:42
associates
30:42
act
30:43
with
30:43
the
30:43
customers
30:44
in
30:44
the
30:44
store.
30:45
And,
30:45
and
30:45
then
30:46
they'll
30:46
want
30:46
this
30:46
tech.
30:47
If
30:47
it's
30:48
working,
30:48
they'll
30:48
want
30:48
it
30:49
and
30:49
they'll
30:49
ask
30:49
for
30:49
it
30:50
after
30:51
the
30:51
pilot's
30:51
done.
30:53
So
30:54
where
30:54
is
30:55
the
30:55
smart
30:56
store
30:56
tech
30:57
kind
30:57
of
30:57
heading?
30:58
Troy,
30:58
what
30:58
do
30:58
we
30:58
think
30:59
we'll
30:59
see
31:00
after
31:00
some
31:00
of
31:00
those
31:00
deployments
31:01
have
31:01
been
31:01
done?
31:02
Those
31:02
pilots
31:02
have
31:02
been
31:03
done?
31:03
Where,
31:03
where?
31:03
What
31:04
is
31:04
the
31:04
art
31:04
of
31:04
the
31:04
possible
31:05
here?
31:06
So
31:06
I
31:06
think
31:06
it's,
31:07
it's
31:07
kind
31:08
of
31:08
like
31:08
the,
31:09
I
31:09
mean,
31:09
I've
31:09
seen
31:09
this
31:10
in
31:10
retail
31:10
for
31:11
a
31:11
long
31:11
time,
31:11
this
31:11
word,
31:12
but
31:12
I
31:12
think
31:12
we're
31:12
really
31:12
there
31:13
in
31:13
the
31:13
orchestration
31:14
era.
31:15
So.
31:16
So
31:17
all
31:17
these
31:17
things,
31:17
all
31:18
these
31:18
devices,
31:18
the
31:18
stuff
31:19
we
31:19
just
31:19
talked
31:19
about
31:19
playing
31:20
together,
31:21
the
31:21
magic
31:22
is
31:22
when
31:22
they're
31:22
all
31:22
working
31:23
together.
31:24
So
31:24
planogram
31:25
compliance,
31:25
automated
31:26
replenishment
31:27
from
31:27
back
31:27
of
31:28
the
31:28
house
31:28
to
31:28
the
31:28
front
31:29
of
31:29
the
31:29
house,
31:30
BOPUS
31:31
triggers.
31:31
So
31:31
it's
31:32
not
31:32
just
31:32
merchandise,
31:32
it's
31:33
not
31:33
just
31:33
inventory.
31:33
It's
31:34
like
31:34
merchandising,
31:35
staffing,
31:36
fulfillment
31:36
shrink.
31:37
The
31:38
store
31:39
tech
31:39
becomes
31:40
like
31:40
a
31:40
central
31:41
nervous
31:41
system
31:42
so
31:42
that
31:42
these
31:43
retailers
31:43
and
31:43
most
31:44
importantly,
31:44
their
31:44
associates
31:45
can
31:45
help
31:45
the
31:46
customers
31:46
and
31:46
help
31:47
sales.
31:47
So
31:47
it's
31:48
really
31:48
all
31:48
the
31:48
orchestration
31:49
around
31:49
all
31:49
this
31:50
tech
31:50
coming
31:50
together.
31:52
Awesome.
31:53
Thanks,
31:53
Troy.
31:54
Thank
31:54
you,
31:54
Troy.
31:57
All
31:57
right,
31:57
headline
31:57
number
31:58
four.
31:58
Hibbett
31:58
has
31:59
debuted
31:59
a
31:59
kid
32:00
app
32:01
and
32:01
e
32:01
commerce
32:01
site,
32:02
according
32:03
to
32:03
retail
32:03
dive.
32:04
Hibbett,
32:04
the
32:04
Birmingham,
32:05
Alabama
32:06
based
32:06
athletics
32:07
apparel
32:07
and
32:07
footwear
32:08
company
32:08
has
32:09
launched
32:09
an
32:09
e
32:09
commerce
32:10
website
32:10
and
32:10
mobile
32:11
app
32:11
dedicated
32:11
to
32:12
selling
32:12
products
32:12
for
32:12
kids,
32:13
the
32:13
retailer
32:14
announced
32:14
last
32:14
Wednesday.
32:15
The
32:15
app
32:15
is
32:16
available
32:16
on
32:16
Android
32:17
and
32:17
iOS
32:17
devices.
32:18
Hibbett
32:18
Kids
32:19
offers
32:19
apparel
32:20
and
32:20
footwear
32:20
for
32:21
kids
32:21
ages
32:21
13
32:21
and
32:22
younger
32:22
from
32:22
brands
32:22
like
32:23
New
32:23
Balance,
32:23
Jordan,
32:24
Nike,
32:24
Crocs
32:25
and
32:25
Adidas.
32:25
The
32:26
e
32:26
commerce
32:26
platform
32:27
features
32:27
installment
32:28
payment
32:28
options,
32:28
a
32:29
customer
32:29
service
32:29
chat
32:29
feature,
32:30
access
32:30
to
32:31
its
32:31
rewards
32:31
program,
32:32
new
32:32
product
32:32
release
32:33
notifications
32:33
and
32:34
personalized
32:34
content.
32:35
The
32:36
retailer
32:36
also
32:37
said
32:37
it
32:37
plans
32:37
to
32:38
release
32:38
new
32:38
products
32:38
on
32:39
a
32:39
daily
32:39
basis.
32:40
Hibbett
32:40
is
32:40
executing
32:41
this
32:41
digital
32:42
push
32:42
with
32:42
a
32:42
new
32:42
owner
32:43
at
32:43
its
32:43
helm,
32:44
UK
32:44
based
32:45
JD
32:45
Sports,
32:46
which
32:46
bought
32:46
Hibbett
32:47
last
32:47
year
32:47
for
32:48
$1.1
32:49
billion.
32:50
And
32:50
do
32:50
you
32:50
agree
32:50
with
32:50
Hibbett's
32:51
decision
32:51
to
32:51
create
32:52
a
32:52
standalone
32:52
kids
32:53
app
32:53
and
32:53
website?
32:55
I
32:55
mean,
32:56
I
32:56
don't
32:57
get
32:57
it.
32:57
I
32:58
don't
32:58
understand.
32:59
I
32:59
feel
33:00
like
33:01
there's
33:01
something
33:01
that
33:02
we
33:02
don't
33:02
understand
33:03
here
33:03
and
33:03
that
33:04
is
33:04
like
33:04
what
33:04
the
33:05
condition
33:05
was
33:05
of
33:06
the
33:06
Hibbett
33:06
platform
33:07
before
33:07
JD
33:08
Sports
33:08
bought
33:08
it.
33:09
Because
33:09
to
33:09
me,
33:09
like
33:10
filtering
33:10
by
33:11
product
33:11
type,
33:11
new
33:12
arrival,
33:12
size,
33:12
gender,
33:13
like
33:13
that's
33:13
just
33:14
best
33:14
practice
33:14
for
33:15
an
33:15
E
33:15
commerce
33:15
site
33:16
back
33:16
in,
33:16
you
33:17
know,
33:17
even
33:17
10
33:17
years
33:18
ago
33:18
or
33:18
whatever.
33:19
I
33:19
mean,
33:19
if
33:20
I
33:20
were
33:21
Hibbett,
33:22
I
33:22
think,
33:22
or
33:22
JD
33:23
Sports
33:23
in
33:23
this
33:23
case,
33:24
I
33:24
think
33:24
I
33:24
would
33:24
be
33:25
focused
33:25
on
33:27
not
33:27
just
33:27
this,
33:27
but
33:28
how
33:28
do
33:28
I
33:29
invest
33:29
that
33:29
money
33:30
instead
33:30
of
33:30
building
33:30
an
33:30
app,
33:31
how
33:31
am
33:31
I
33:31
investing
33:31
that
33:32
money
33:32
into
33:32
content
33:33
creation
33:34
media
33:34
buys
33:35
that
33:35
get
33:35
them
33:35
front
33:35
and
33:36
center
33:36
in
33:36
front
33:37
of
33:37
with
33:37
influencers
33:38
on
33:38
TikTok,
33:39
on
33:39
Snap
33:39
and
33:40
other
33:40
platforms.
33:41
And
33:41
then,
33:41
you
33:41
know,
33:42
how
33:42
am
33:42
I
33:42
also
33:43
integrating
33:43
this
33:44
into
33:44
how
33:45
I
33:45
show
33:45
up
33:45
in
33:46
large
33:47
language?
33:47
Search
33:48
across,
33:48
you
33:49
know,
33:49
Gemini
33:49
and
33:49
ChatGPT.
33:50
That's
33:50
where
33:51
the
33:51
traffic
33:51
is
33:51
coming.
33:52
Like
33:52
this
33:52
just
33:53
feels
33:53
very
33:54
old
33:54
school.
33:55
Like,
33:55
oh,
33:56
and
33:56
so
33:56
that's
33:56
why,
33:56
I
33:57
guess
33:57
I'm
33:57
wondering,
33:57
like,
33:57
did
33:58
they
33:58
just
33:58
have
33:58
to
33:58
revamp
33:59
the
33:59
site
33:59
because
33:59
it
34:00
was
34:00
so
34:00
bad
34:00
before
34:01
that
34:01
in
34:02
order
34:02
to
34:02
drive
34:02
any
34:02
traffic
34:03
they
34:03
had
34:03
to
34:03
just
34:04
set
34:04
up
34:04
a
34:04
basic
34:04
taxonomy
34:05
here.
34:05
But
34:06
the
34:06
app,
34:06
to
34:06
me,
34:07
absolutely
34:07
not.
34:07
No
34:08
kids
34:08
are
34:08
going
34:08
to
34:08
that.
34:09
They're
34:09
on
34:09
TikTok,
34:09
they're
34:10
on
34:10
Snap,
34:10
they're
34:11
finding
34:11
new
34:11
products
34:12
that
34:12
way.
34:13
And
34:13
the,
34:13
their
34:14
parents
34:14
who
34:14
are
34:14
trying
34:15
to
34:15
figure
34:15
out
34:15
what
34:15
the
34:15
best
34:16
shoes
34:16
are
34:16
for
34:16
them
34:17
or
34:17
you
34:17
know,
34:17
parents
34:18
of
34:18
a
34:18
toddler
34:18
trying
34:19
to
34:19
figure
34:19
out
34:19
what
34:19
the
34:19
best
34:19
shoes
34:20
are
34:20
that
34:20
will
34:21
hold
34:21
up
34:21
to
34:21
a
34:22
summer
34:22
program
34:22
for
34:23
a
34:23
toddler.
34:23
Like
34:24
those
34:24
questions
34:24
are
34:24
going
34:25
to
34:25
ChatGPT.
34:26
The
34:26
kids
34:26
are
34:26
on
34:26
Snap
34:27
and
34:27
TikTok.
34:28
So
34:28
like
34:28
that's
34:28
where
34:28
I'd
34:29
be
34:29
focusing
34:29
right
34:30
now
34:30
if
34:30
I
34:30
was
34:30
trying
34:30
to
34:30
go
34:31
after
34:31
those
34:31
audiences.
34:32
Not,
34:33
not
34:33
on
34:33
building
34:34
a
34:34
standalone
34:34
app
34:35
that
34:35
I
34:35
don't
34:36
know
34:36
how
34:36
they're
34:36
going
34:36
to
34:36
get
34:36
traffic
34:37
to.
34:37
But
34:37
that's
34:38
just
34:38
me.
34:39
You're
34:39
the
34:39
E
34:39
Comm
34:39
expert.
34:40
What
34:40
would
34:41
you
34:41
have
34:41
done
34:42
if
34:42
you
34:42
were
34:42
Hibbit
34:43
or
34:43
JD
34:43
Sports?
34:44
Chris?
34:44
No,
34:45
I
34:45
mean
34:45
it
34:45
was
34:45
like
34:45
I
34:45
was
34:45
talking
34:46
to
34:46
myself
34:46
there
34:46
and
34:47
I
34:47
mean
34:47
you're,
34:47
you're
34:48
coming
34:48
in
34:48
hot
34:48
and
34:48
strong
34:49
on
34:49
this
34:49
podcast.
34:49
No,
34:50
I
34:50
mean
34:50
I,
34:51
I
34:51
100
34:52
agree
34:52
with
34:52
you.
34:52
I
34:52
Mean,
34:53
you
34:53
know,
34:53
generally
34:54
speaking,
34:54
I
34:54
hate
34:54
moves
34:55
like
34:55
this.
34:55
And,
34:55
and
34:55
it
34:56
goes
34:56
to
34:56
what
34:56
you
34:56
said.
34:56
It's,
34:57
it's
34:57
about
34:57
traffic.
34:58
Like
34:58
now
34:58
you've
34:58
got
34:59
to
34:59
market
34:59
and
34:59
operate
35:00
two
35:01
distinct
35:01
properties.
35:02
Like,
35:02
you
35:03
know,
35:03
one
35:03
should
35:03
be
35:03
able
35:04
to
35:04
do
35:04
that
35:04
job
35:04
if
35:04
you're
35:05
doing
35:05
it
35:05
well,
35:05
to
35:05
your
35:06
point.
35:06
So
35:06
like,
35:07
you
35:07
know,
35:07
but
35:08
the
35:08
only
35:08
conceivable
35:09
rationale
35:10
I
35:10
can
35:10
give
35:10
for
35:11
this
35:11
is,
35:11
you
35:11
know,
35:12
why
35:12
would
35:12
JD
35:12
Sports
35:13
take
35:13
this
35:13
approach?
35:14
The
35:14
only
35:14
rationale
35:15
is
35:15
maybe
35:15
they
35:16
got,
35:16
you
35:16
know,
35:17
they
35:17
bought
35:17
the
35:17
Hibbit
35:17
and
35:18
they're
35:18
like,
35:18
they
35:18
got
35:18
into
35:18
it
35:19
and
35:19
they're
35:19
like,
35:20
oh
35:20
my
35:21
God,
35:21
this
35:21
is
35:22
going
35:22
to
35:22
be
35:22
really
35:22
hard
35:23
to
35:23
re
35:23
platform
35:24
this
35:24
website
35:25
to
35:25
the
35:25
degree
35:25
that
35:26
we
35:26
want
35:26
to.
35:27
And
35:27
it's
35:28
probably
35:28
even
35:28
an
35:28
impossibility.
35:29
So,
35:29
you
35:30
know,
35:30
that's
35:30
the
35:30
only
35:31
answer
35:31
I
35:31
can
35:31
give.
35:32
And
35:32
so
35:32
they're
35:32
like,
35:32
okay,
35:32
let's
35:33
create
35:33
a
35:33
kids
35:33
website
35:34
so
35:34
we
35:34
can
35:34
understand
35:35
if
35:35
we
35:35
can
35:35
do
35:35
it
35:35
better
35:36
and
35:36
then
35:36
we
35:36
can
35:37
migrate
35:37
the
35:37
adult
35:37
business
35:38
onto
35:38
that
35:38
platform
35:39
over
35:39
time.
35:40
That's
35:40
the
35:40
only
35:41
conceivable
35:41
rationale.
35:42
Otherwise
35:42
this
35:42
is,
35:42
I
35:42
think,
35:43
an
35:43
insanely
35:44
dumb
35:44
idea.
35:45
And
35:45
wouldn't
35:45
you
35:46
agree?
35:46
I
35:46
mean,
35:46
it
35:46
sounded
35:47
like
35:47
you
35:47
did.
35:47
It
35:47
doesn't
35:48
make
35:48
any
35:48
sense.
35:49
It
35:49
does
35:49
not
35:49
make
35:49
any
35:49
sense
35:50
to
35:50
me.
35:50
That's
35:50
why
35:50
I'm
35:50
like,
35:51
there
35:51
has
35:51
to
35:51
be
35:51
something
35:52
that
35:52
we
35:52
don't
35:52
understand
35:53
about
35:53
what
35:54
the
35:54
pre
35:54
and
35:55
post
35:55
conditions
35:55
were
35:56
to
35:56
make
35:56
this
35:56
decision.
35:57
But
35:59
are
35:59
you
35:59
surprised
35:59
even
36:00
talking
36:00
about
36:00
it
36:00
or
36:01
are
36:01
they
36:01
talking
36:01
about
36:01
it
36:01
because
36:02
they
36:02
have
36:02
to
36:02
get
36:02
traffic
36:02
to
36:03
it
36:03
to
36:03
see
36:03
if
36:03
it
36:03
works?
36:04
If
36:04
that
36:04
is
36:04
the
36:04
rationale,
36:05
I
36:05
don't
36:05
know.
36:05
I
36:05
can't.
36:06
Again,
36:06
I
36:06
wouldn't
36:06
be
36:07
paying
36:07
the
36:07
PR
36:07
agency
36:08
to
36:08
talk
36:08
about
36:08
this.
36:09
I
36:09
would
36:09
be
36:09
paying
36:09
somebody
36:10
to
36:10
get
36:10
my
36:10
product
36:11
on
36:11
TikTok.
36:12
I
36:12
would
36:12
be
36:12
paying
36:12
an
36:13
influencer
36:13
money
36:14
so
36:14
that
36:14
they
36:15
can
36:15
start
36:15
talking
36:15
about
36:16
I
36:16
go
36:16
to
36:16
the
36:16
Hibbett
36:17
app
36:17
to
36:17
do
36:18
X,
36:18
Y
36:18
and
36:18
Z.
36:21
Yeah,
36:21
I,
36:21
I
36:21
do
36:22
not
36:22
understand
36:23
this
36:24
at
36:24
all,
36:24
Chris,
36:25
at
36:25
all.
36:26
I
36:26
have
36:26
to,
36:26
I
36:26
have
36:27
to
36:27
move
36:27
on
36:27
to
36:27
the
36:27
next
36:27
headline
36:28
because
36:28
I
36:28
don't
36:28
even
36:28
know
36:29
what
36:29
else
36:29
to
36:29
say.
36:29
I
36:30
can't
36:30
wait
36:30
to
36:30
hear
36:30
what
36:31
you
36:31
say
36:31
about
36:31
the
36:31
next
36:31
headline
36:32
because
36:32
you
36:32
keep
36:32
growing
36:33
here
36:33
in,
36:34
in,
36:34
in,
36:34
in
36:35
hot
36:35
takes.
36:35
Let's
36:36
do
36:36
this.
36:36
Yes.
36:36
All
36:37
right.
36:37
Headline
36:37
number
36:38
five.
36:38
Starbucks
36:39
is
36:39
retooling
36:40
the
36:40
baristas
36:40
hiring
36:41
process
36:41
as
36:42
it
36:42
transformation
36:43
continues.
36:44
According
36:44
to
36:45
msn,
36:45
Starbucks
36:46
Corporation
36:46
has
36:46
increased
36:47
the
36:47
of
36:47
level
36:47
screening
36:48
of
36:48
external
36:48
applications
36:49
for
36:49
the
36:49
chain's
36:50
new
36:50
baristas.
36:51
The
36:51
screening
36:51
process
36:52
now
36:52
includes
36:52
being
36:52
reviewed
36:53
by
36:53
district
36:53
managers
36:54
in
36:54
addition
36:55
to
36:55
the
36:55
manager
36:56
of
36:56
the
36:56
store
36:56
where
36:56
they're
36:57
Applying
36:57
sources
36:58
tipped
36:58
Bloomberg,
36:59
district
36:59
managers
37:00
were
37:00
noted
37:00
to
37:00
normally
37:01
oversee
37:01
about
37:02
10
37:02
locations
37:02
that
37:02
were
37:03
not
37:03
previously
37:04
part
37:04
of
37:04
the
37:04
hiring
37:05
process
37:05
for
37:05
each
37:06
store.
37:06
The
37:07
change
37:07
coincides
37:07
with
37:08
an
37:08
effort
37:08
by
37:08
Starbucks
37:09
Chief
37:09
Executive
37:10
Officer
37:11
Brian
37:11
Nichol
37:12
to
37:12
increase
37:12
sales
37:13
staffing
37:13
at
37:14
the
37:14
coffee
37:14
chain
37:14
in
37:15
a
37:15
reversal
37:15
of
37:15
past
37:16
years
37:16
when
37:16
the
37:16
average
37:16
number
37:17
of
37:17
workers
37:17
at
37:17
stores
37:18
was
37:18
reduced.
37:19
Notably,
37:19
Starbucks
37:20
has
37:20
said
37:20
that
37:20
nearly
37:21
all
37:21
of
37:21
its
37:22
more
37:22
than
37:22
10,000
37:23
company
37:23
operated
37:24
locations
37:24
in
37:24
the
37:25
US
37:25
will
37:25
have
37:25
more
37:26
workers
37:26
by
37:26
the
37:26
end
37:27
of
37:27
September.
37:28
Chris,
37:29
you
37:29
may
37:29
have
37:29
realized
37:30
from
37:30
its
37:30
absence
37:31
thus
37:31
far,
37:31
but
37:31
this
37:32
is
37:32
also
37:32
the
37:32
A
37:33
and
37:33
M
37:34
question.
37:36
Here
37:36
it
37:37
is.
37:38
Okay.
37:38
What
37:38
could
37:39
be
37:39
confused
37:39
as
37:39
a
37:39
small
37:40
internal
37:40
process
37:41
change
37:41
for
37:41
Starbucks
37:42
seems
37:42
to
37:42
be
37:42
indicative
37:43
of
37:43
larger
37:44
strategic
37:44
shifts
37:45
back
37:45
toward
37:45
experience
37:46
as
37:46
a
37:47
differentiator.
37:48
As
37:48
Starbucks
37:48
loyalists,
37:49
do
37:49
you
37:49
think
37:49
an
37:49
elevated
37:50
front
37:50
end
37:51
hiring
37:51
profile
37:52
is
37:52
necessary?
37:53
Think
37:53
Enterprise
37:54
vs.
37:54
Hertz.
37:55
Or
37:56
is
37:56
delivering
37:57
an
37:57
under
37:57
4
37:57
minute
37:58
wait
37:58
time
37:58
and
37:59
your
37:59
name
37:59
and
37:59
a
38:00
fanciful
38:00
phrase
38:00
written
38:01
on
38:01
your
38:01
cup
38:01
enough?
38:03
Oh
38:03
man,
38:05
that's
38:05
a
38:05
good
38:06
question.
38:06
And
38:06
there's
38:06
a
38:06
lot
38:06
of
38:07
layers
38:07
to
38:07
that
38:07
question.
38:08
And,
38:08
and
38:08
I
38:08
know
38:08
you
38:09
and
38:09
I,
38:09
you
38:10
and
38:10
I
38:10
disagree
38:10
on
38:10
the
38:11
elevated
38:11
experience
38:11
versus
38:12
throughput
38:12
argument,
38:13
but
38:13
you
38:13
know,
38:13
with
38:13
that
38:14
said,
38:14
like
38:14
just
38:14
this
38:15
week,
38:15
I
38:15
think
38:15
it
38:15
was
38:15
yesterday
38:16
or
38:16
two
38:16
days
38:17
ago,
38:17
the
38:17
low
38:17
price
38:18
chain
38:18
out
38:18
of
38:18
China,
38:18
Luckin,
38:19
just
38:20
entered
38:20
the
38:20
market
38:20
in,
38:21
in
38:21
New
38:21
York.
38:21
So
38:22
yeah,
38:22
so
38:22
Starbucks,
38:23
Starbucks
38:23
in
38:23
my
38:24
mind,
38:24
I
38:25
have
38:25
no
38:25
idea
38:25
how
38:25
formidable
38:26
that's
38:26
going
38:26
to
38:26
be,
38:26
but
38:26
it's
38:27
a
38:27
huge
38:27
chain
38:27
in
38:28
China.
38:28
So
38:28
Starbucks
38:29
in
38:29
my
38:29
mind
38:29
has
38:29
to
38:29
differentiate
38:30
on
38:30
something
38:31
other
38:31
than
38:31
throughput
38:32
because
38:32
even
38:32
throughput
38:33
in
38:33
my
38:34
latest
38:34
Starbucks
38:34
experience
38:35
is
38:35
questionable.
38:36
They're
38:36
not
38:36
doing
38:36
that
38:37
well.
38:37
Like
38:37
I
38:37
went
38:37
in
38:38
there
38:38
the
38:38
other
38:38
day,
38:38
there
38:39
were
38:39
30
38:39
drinks
38:40
on
38:40
the
38:40
counter
38:41
waiting
38:41
for
38:41
pickup.
38:42
So
38:42
something's
38:43
still
38:43
not
38:43
working
38:43
right.
38:44
So
38:44
you
38:44
know,
38:45
with
38:45
this
38:45
headline,
38:46
Nickel,
38:47
he
38:47
clearly
38:48
seems
38:48
to
38:48
be
38:48
sending
38:48
a
38:48
message
38:49
to
38:49
field
38:49
leadership
38:50
that
38:50
you
38:50
are
38:50
accountable
38:51
for
38:51
hiring
38:52
culture
38:52
and
38:52
attitude,
38:53
which
38:54
is
38:54
also
38:54
something
38:54
that
38:55
in
38:55
my
38:55
recent
38:55
experiences
38:56
has
38:56
been
38:56
missing.
38:56
I'll
38:57
say
38:57
that
38:57
point
38:57
blank.
38:57
But,
38:58
but
38:58
my
38:59
fear
38:59
is,
38:59
because
38:59
I
38:59
lived
39:00
through
39:00
this
39:00
same
39:00
type
39:01
of
39:01
edict
39:01
at
39:01
Target
39:02
back
39:02
when
39:02
I
39:02
was
39:02
in
39:02
stores,
39:04
we
39:04
were
39:04
told
39:04
we
39:04
had
39:05
to
39:05
interview
39:05
three
39:05
levels
39:06
down
39:06
as
39:06
district
39:06
leaders.
39:07
What?
39:07
And
39:08
interviewing.
39:08
Yeah,
39:09
we
39:09
did.
39:09
I.
39:09
So
39:10
we
39:10
had
39:10
to
39:10
interview
39:10
all
39:11
store
39:11
managers.
39:11
All,
39:12
all
39:12
levels
39:13
below
39:13
store
39:13
manager
39:14
and
39:14
every
39:14
level
39:15
below
39:15
them.
39:16
Store
39:16
managers
39:17
make
39:17
sense,
39:17
but
39:18
every.
39:19
Like
39:19
a
39:20
cashier,
39:20
you
39:20
have
39:21
to,
39:21
I.
39:21
Mean,
39:21
no,
39:22
I
39:22
wasn't
39:22
a
39:22
cashier.
39:22
So
39:23
there
39:23
was,
39:23
I
39:23
had
39:23
to
39:23
interview
39:23
store
39:24
managers,
39:24
what's
39:24
called
39:25
executive
39:25
team
39:25
leaders,
39:26
which
39:26
is
39:26
like
39:26
kind
39:26
of
39:27
assistant
39:27
manager.
39:28
And
39:28
then
39:28
like
39:28
the,
39:29
and
39:29
then
39:29
the
39:29
team
39:30
leader,
39:30
which
39:30
is
39:30
an
39:31
hourly.
39:31
So
39:31
the
39:31
two,
39:32
two
39:32
were
39:32
salaried.
39:33
And
39:33
then
39:33
I
39:33
had
39:33
to
39:33
interview
39:34
the
39:34
team
39:34
leaders
39:34
as
39:35
well.
39:35
Okay,
39:36
so.
39:36
And
39:37
as
39:37
a
39:37
district
39:37
manager,
39:38
this
39:38
is
39:38
your
39:38
most
39:39
important
39:39
job
39:39
is
39:40
hiring.
39:40
So
39:41
I
39:41
don't
39:41
know
39:41
how
39:41
many
39:41
levels
39:42
down
39:42
they're
39:42
actually
39:43
having
39:43
to
39:43
interview,
39:44
but
39:44
if
39:45
it
39:45
is
39:45
three
39:45
levels,
39:46
it
39:46
gets
39:46
really
39:47
unsustainable
39:48
really
39:48
fast.
39:49
But
39:49
it
39:49
does
39:50
send
39:50
a
39:50
message.
39:51
But
39:51
the
39:51
issue
39:51
for
39:52
me
39:52
is
39:53
that
39:54
the
39:54
baristas
39:54
at
39:55
the
39:55
end
39:55
of
39:55
the
39:55
day
39:55
just
39:55
seem
39:56
too
39:56
overworked
39:57
to
39:57
be
39:57
keeping
39:57
up
39:57
with
39:57
mobile
39:58
orders.
39:58
So
39:58
you
39:58
can
39:58
hire
39:59
happy,
39:59
fun,
40:00
outgoing
40:00
people,
40:01
but
40:01
days
40:01
upon
40:02
days
40:02
of
40:02
drowning
40:03
from
40:03
the
40:03
morning
40:03
pickup
40:04
rush
40:04
wipes
40:05
the
40:05
smiles
40:05
off
40:06
everyone's
40:06
face
40:06
really
40:07
fast.
40:07
So
40:07
the,
40:07
so
40:08
the
40:08
problem
40:08
is
40:08
actually
40:09
at
40:09
the
40:09
end
40:09
of
40:09
the
40:09
day,
40:09
throughput
40:10
first,
40:10
then
40:11
service.
40:11
You
40:11
have
40:12
to
40:12
solve
40:12
one
40:12
before
40:13
the
40:13
other,
40:13
which
40:14
it
40:14
appears
40:14
Nikola
40:15
is
40:15
trying
40:15
to,
40:16
but
40:16
it
40:17
doesn't
40:17
appear
40:17
he's
40:17
trying
40:17
to
40:18
do
40:18
that.
40:18
So
40:18
he
40:18
might
40:18
not
40:19
ultimately
40:19
accomplish
40:20
anything.
40:20
That's
40:21
at
40:21
least
40:21
my
40:22
fear
40:22
anyway.
40:22
Like,
40:23
you're
40:23
putting
40:23
so
40:23
much
40:24
emphasis
40:24
on
40:24
the
40:24
in
40:24
store
40:25
experience,
40:25
but
40:26
you
40:26
can't
40:26
get
40:26
it
40:26
back
40:27
until
40:27
you
40:27
solve
40:28
the
40:28
amount
40:28
of
40:28
demand
40:29
coming
40:29
through
40:30
the
40:30
box.
40:31
Right?
40:31
I
40:32
completely
40:32
agree.
40:33
I
40:33
mean,
40:34
this
40:34
got
40:34
me
40:34
thinking
40:35
about
40:36
number
40:36
one,
40:36
what
40:37
you
40:37
just
40:37
said.
40:37
Like,
40:38
you
40:38
have
40:38
to
40:39
get
40:39
throughput,
40:40
right?
40:40
You
40:40
have
40:40
to
40:41
be
40:41
able
40:41
to
40:41
make
40:41
those
40:41
coffees.
40:42
To
40:42
answer
40:42
A
40:42
and
40:43
M's
40:43
question,
40:43
you
40:43
have
40:43
to
40:43
be
40:44
able
40:44
to
40:44
get
40:44
me
40:44
the
40:45
coffee
40:45
in
40:45
four
40:45
minutes
40:46
or
40:46
less
40:46
or
40:46
I'm
40:47
not
40:47
going
40:47
to
40:47
period.
40:48
It
40:48
doesn't
40:48
matter
40:48
how
40:49
many
40:49
locations
40:50
like,
40:50
and
40:50
you
40:50
know,
40:50
I
40:51
don't
40:51
care
40:51
about
40:51
the
40:52
experience.
40:52
I'm
40:52
more
40:52
about
40:53
like,
40:53
does
40:53
my
40:53
coffee
40:54
taste
40:54
the
40:54
same,
40:54
right?
40:55
How
40:55
I
40:55
want
40:55
it
40:56
every
40:56
single
40:56
time
40:57
and
40:57
how
40:57
quickly
40:57
can
40:58
I
40:58
get
40:58
in
40:58
and
40:58
out?
40:58
Because
40:58
I'm
40:59
not
40:59
going
40:59
there
40:59
for
40:59
the
41:00
experience.
41:01
But
41:01
that
41:02
leads
41:02
me
41:02
to
41:03
think
41:03
about
41:03
like
41:03
chick
41:04
Fil
41:04
A.
41:05
You
41:05
think
41:05
about
41:05
your
41:05
chick
41:06
Fil
41:06
A
41:06
experience.
41:06
You
41:07
pull
41:07
up,
41:07
you
41:07
have
41:08
a
41:08
really
41:08
pleasant
41:09
interaction
41:09
with
41:09
somebody
41:10
who
41:10
helps
41:10
you
41:10
with
41:10
your
41:10
order.
41:11
And
41:12
I
41:12
never
41:13
see
41:13
the,
41:14
the,
41:14
the
41:14
chicken
41:15
sandwiches
41:15
being
41:15
made
41:16
because
41:16
they're
41:16
handed
41:16
out,
41:17
out
41:17
to
41:17
me,
41:17
you
41:17
know,
41:18
either
41:18
in
41:18
the
41:18
drive
41:18
thru
41:19
or
41:19
somebody
41:19
walks
41:20
it
41:20
out
41:20
to
41:20
me,
41:20
those
41:21
are
41:21
the
41:21
interactions
41:22
at
41:22
the
41:22
front
41:22
and
41:22
back
41:23
end
41:23
of
41:23
the
41:23
experience
41:23
that
41:24
are
41:24
meaningful
41:25
to
41:25
me.
41:26
If
41:26
they
41:26
were
41:26
making
41:27
everything
41:27
by
41:28
robot
41:28
inside,
41:29
it
41:29
wouldn't
41:29
make
41:29
a
41:30
bit
41:30
of
41:30
difference
41:30
to
41:30
me
41:30
as
41:31
long
41:31
as
41:31
the
41:31
order
41:31
is
41:32
consistent.
41:32
And
41:32
I
41:32
think
41:33
that's
41:33
what
41:33
Starbucks
41:34
needs
41:34
to
41:34
think
41:34
about
41:35
here.
41:36
Are
41:36
you
41:36
able
41:37
to
41:37
have
41:38
the
41:38
automation
41:39
down
41:40
so
41:40
that
41:40
your
41:41
role
41:41
for
41:41
the
41:42
humans
41:42
in
41:42
your
41:43
experience
41:44
is
41:44
just
41:45
for
41:45
that
41:45
interaction
41:46
for
41:46
the,
41:46
for
41:46
making
41:47
sure
41:47
that
41:47
they
41:47
put
41:48
your
41:48
order
41:48
in
41:48
correctly,
41:49
that
41:49
you're
41:49
going
41:49
to
41:49
get
41:50
that
41:50
consistency
41:50
that
41:51
you're
41:51
looking
41:51
for
41:51
every
41:51
time.
41:52
And
41:52
bringing
41:53
more
41:53
people
41:54
in
41:54
power
41:55
into
41:55
this
41:55
just
41:56
doesn't
41:56
seem
41:56
to
41:57
me
41:57
like
41:58
it's
41:58
going
41:58
to
41:58
fix
41:59
the
41:59
problem.
41:59
It's
41:59
got
42:00
to
42:00
be
42:00
automation
42:00
first,
42:01
I
42:01
think.
42:01
And
42:01
then
42:02
working
42:02
on.
42:03
Sure.
42:03
How
42:04
do
42:04
you
42:04
make
42:04
sure
42:04
that
42:04
you're
42:05
bringing
42:05
in
42:05
people
42:05
that
42:06
are
42:06
going
42:06
to
42:06
liven
42:07
people's
42:07
day
42:07
and
42:07
create
42:07
that
42:08
experience?
42:09
Well,
42:09
I
42:09
would
42:09
go
42:10
a
42:10
little
42:10
bit
42:10
further.
42:10
I
42:10
don't
42:10
even
42:10
know
42:10
if
42:11
it's
42:11
automation
42:12
per
42:12
se,
42:13
but
42:13
it's
42:13
operational
42:14
design
42:14
change,
42:15
you
42:15
know,
42:15
like,
42:15
because
42:16
we
42:16
talked
42:16
about
42:16
how
42:17
much
42:17
can
42:17
you
42:17
automate
42:18
the
42:18
coffee
42:18
production
42:19
process?
42:19
You
42:20
know,
42:20
I
42:20
think
42:20
there
42:20
are
42:20
limits
42:21
to
42:21
that
42:21
and
42:21
in
42:21
the
42:22
food
42:22
production
42:22
process
42:22
too.
42:23
But
42:23
like,
42:24
when
42:24
I
42:24
started
42:24
hearing
42:24
you
42:25
talk,
42:25
like,
42:25
I.
42:25
The
42:26
issue
42:26
could
42:26
be
42:26
like,
42:27
how
42:27
the
42:27
stores
42:27
are
42:27
laid
42:28
out,
42:28
how
42:28
much
42:28
is
42:29
front
42:29
of
42:29
house
42:29
versus
42:30
how
42:30
much
42:30
is
42:30
back
42:30
of
42:30
house.
42:30
Your
42:31
point
42:31
about
42:31
Chick
42:31
Fil
42:31
A,
42:32
how
42:32
much
42:32
you
42:32
need
42:32
to
42:32
see
42:32
the
42:33
coffee
42:33
being
42:33
made
42:33
versus,
42:34
like
42:34
your
42:34
grande
42:35
Americano
42:36
or
42:36
your
42:36
tall
42:36
latte
42:37
just
42:37
comes
42:37
out
42:37
a
42:38
door
42:38
and
42:38
it's
42:38
ready
42:38
for
42:39
you
42:39
and
42:39
waiting
42:39
in
42:39
a
42:40
very
42:40
easily
42:40
findable
42:41
slot,
42:41
you
42:41
know,
42:42
versus
42:42
now.
42:42
Like,
42:42
I
42:43
have
42:43
to
42:43
search
42:43
through
42:44
30
42:44
different
42:44
cups
42:44
to
42:44
even
42:45
know
42:45
if
42:45
mine's
42:45
there.
42:46
And
42:46
then
42:46
I'm
42:46
like,
42:46
I
42:46
found
42:47
one,
42:47
but
42:47
I
42:47
didn't
42:47
find
42:47
the
42:47
other.
42:48
And
42:48
I
42:48
don't
42:48
know,
42:49
did
42:49
you
42:49
make
42:49
mine?
42:49
Am
42:50
I
42:50
still
42:50
waiting
42:50
for
42:50
it?
42:50
I
42:51
don't
42:51
know
42:51
who
42:51
to
42:51
ask.
42:51
Like,
42:52
it's
42:52
just
42:52
crazy.
42:53
Yeah.
42:53
So,
42:54
like.
42:55
But
42:55
when
42:55
I
42:55
think
42:55
about
42:55
it
42:56
like
42:56
that,
42:56
and
42:56
I
42:56
think
42:56
the
42:57
challenges,
42:58
if
42:58
that's
42:59
what
42:59
it's
42:59
going
42:59
to
42:59
take,
42:59
the
43:00
challenges
43:00
in
43:00
some
43:00
ways
43:01
seem
43:01
insurmountable
43:02
from
43:02
an
43:02
operational
43:03
design
43:03
perspective.
43:04
And
43:04
you
43:04
just
43:04
throw
43:05
people
43:05
at
43:05
this,
43:05
like
43:05
he's
43:06
doing,
43:06
or
43:06
you
43:07
throw
43:07
an
43:07
emphasis
43:08
on
43:08
culture.
43:08
You're
43:08
just
43:08
going
43:09
to
43:09
piss
43:09
people
43:09
off
43:10
in
43:10
the
43:10
long
43:10
run
43:10
and
43:11
you're
43:11
going
43:11
to
43:11
dissatisfy
43:12
a
43:12
lot
43:12
more
43:12
workers
43:12
because
43:12
they're
43:13
never
43:13
going
43:13
to
43:13
meet
43:14
your
43:14
standards.
43:15
Right.
43:15
I
43:15
mean,
43:15
especially
43:16
a
43:16
district
43:16
manager.
43:18
Like,
43:18
why
43:18
are
43:19
you
43:19
putting
43:19
the
43:19
district
43:19
manager
43:20
towards
43:20
this?
43:21
Like
43:21
that
43:21
to
43:21
me,
43:22
tells
43:22
me
43:23
as
43:23
a
43:23
store
43:23
manager
43:24
somewhere
43:25
else.
43:25
Yeah.
43:25
Like,
43:26
and
43:26
then
43:26
you're
43:26
taking
43:27
these
43:27
people
43:27
who
43:27
are
43:28
so
43:28
valuable
43:28
to
43:29
innovation,
43:30
understanding
43:31
the
43:31
whole,
43:31
like,
43:32
landscape
43:33
of
43:33
stores
43:33
and
43:33
what's
43:34
going
43:34
on
43:34
in
43:34
each
43:34
one
43:35
and
43:35
how
43:35
you
43:35
can
43:35
make
43:36
improvements
43:36
to
43:37
processes
43:37
across
43:38
a
43:38
multitude
43:39
of
43:39
stores.
43:39
Like,
43:39
let
43:39
your
43:40
store
43:40
managers
43:41
who
43:41
live
43:41
and
43:41
work
43:42
in
43:42
the
43:42
community,
43:42
let
43:43
them
43:43
figure
43:44
out,
43:44
like,
43:44
what
43:44
the
43:45
vibe
43:45
is
43:45
and
43:45
what
43:45
the
43:46
people
43:46
are
43:46
like,
43:46
that
43:46
should
43:47
be
43:47
coming
43:47
into
43:47
their
43:47
stores.
43:48
This
43:48
feels
43:48
like
43:49
Very
43:50
short
43:50
sighted
43:50
leadership.
43:51
So,
43:51
yeah,
43:52
that
43:52
was
43:52
always
43:52
my,
43:53
that
43:53
was
43:53
always
43:53
my
43:53
pushback
43:54
at
43:54
Target
43:54
too.
43:54
I
43:54
was
43:55
like,
43:55
I
43:55
hire
43:55
the
43:56
people
43:56
to
43:56
hire
43:57
the
43:57
people
43:57
that
43:57
they
43:58
need
43:58
and
43:58
if
43:58
they're
43:58
not
43:59
doing
43:59
that,
43:59
then
43:59
I'm
43:59
going
44:00
to
44:00
get
44:00
rid
44:00
of
44:00
those
44:00
people.
44:01
I
44:01
shouldn't
44:02
have
44:02
to
44:02
be
44:02
involved
44:03
in
44:03
double
44:03
checking
44:04
their
44:04
hiring
44:04
process,
44:05
which
44:05
is,
44:05
that's,
44:06
that's
44:06
why
44:06
this
44:07
gets
44:07
a
44:07
little
44:07
frustrating
44:08
for
44:08
me
44:08
too.
44:08
Like,
44:09
I
44:09
just
44:09
don't
44:09
like
44:09
that
44:09
either.
44:10
But
44:10
anyway,
44:12
who.
44:13
All
44:13
right,
44:13
let's
44:14
go
44:14
to
44:14
the
44:14
show
44:14
today.
44:15
Good
44:15
show.
44:16
Lots
44:16
of
44:16
meat
44:16
on
44:17
these
44:17
bones.
44:17
All
44:18
right,
44:18
Chris,
44:18
question
44:18
number
44:19
one
44:19
for
44:19
you
44:20
is
44:20
this
44:21
General
44:21
Dynamics
44:22
electric
44:22
boat
44:23
unit
44:23
which
44:23
designs,
44:24
builds,
44:24
repairs
44:25
and
44:25
modernizes
44:25
nuclear
44:26
submarines
44:26
for
44:27
the
44:27
U.S.
44:27
navy,
44:28
has
44:28
just
44:28
acquired
44:29
the
44:29
121,000
44:30
square
44:31
foot
44:31
Macy's
44:32
anchor
44:32
location
44:33
that
44:33
is
44:33
connected
44:34
to
44:34
the
44:34
Crystal
44:35
mall
44:35
in
44:35
Waterford,
44:36
Connecticut.
44:37
If
44:37
not
44:38
building
44:38
submarines
44:39
for
44:39
the
44:39
U.S.
44:39
navy.
44:40
Chris,
44:40
what's
44:40
the
44:40
best
44:41
use
44:41
in
44:41
your
44:41
opinion
44:42
of
44:42
dead
44:42
anchor
44:43
space?
44:44
Oh,
44:44
I'm
44:44
going
44:44
to
44:45
say
44:45
government
44:45
here
44:45
and
44:45
I
44:46
think
44:46
we
44:46
need
44:46
to
44:46
use
44:47
it
44:47
to
44:47
hide
44:47
the
44:47
alien
44:47
bodies.
44:48
That's
44:48
what
44:48
I
44:48
think.
44:48
I
44:49
think
44:49
we
44:49
need
44:49
to.
44:49
I
44:49
think
44:49
we
44:50
need
44:50
to
44:50
hide
44:51
bodies
44:52
in
44:52
dead
44:52
mall
44:52
anchor
44:53
spaces
44:53
like
44:55
Stranger
44:55
Things.
44:56
Oh,
44:56
my
44:56
God.
44:56
I
44:57
thought
44:57
you
44:57
were
44:57
going
44:57
to
44:57
talk
44:57
about
44:57
like
44:58
putting
44:58
DMVs.
44:59
It
44:59
was
44:59
like,
44:59
that
44:59
is
44:59
actually
44:59
a
45:00
very
45:00
good
45:00
idea.
45:00
I
45:00
like
45:01
the
45:01
government
45:01
use
45:02
cases
45:02
for
45:02
the
45:02
mall.
45:03
Oh,
45:03
DMVs.
45:03
Yeah,
45:04
yeah,
45:04
we
45:04
have
45:04
one
45:04
in
45:04
our.
45:04
Model,
45:05
works
45:05
really
45:05
well.
45:06
Yeah,
45:06
we
45:06
have
45:06
DMV
45:06
in
45:07
our
45:07
model.
45:07
That's
45:07
actually
45:07
a
45:07
really
45:08
good
45:08
idea.
45:08
Yeah,
45:09
but
45:10
alien
45:10
bodies.
45:10
Okay.
45:11
Yeah,
45:11
let's
45:11
hide
45:11
the
45:12
alien
45:12
bodies.
45:12
Area
45:12
51,
45:13
all
45:13
over
45:13
the
45:13
country.
45:14
All
45:14
right.
45:14
Google's
45:15
AI
45:15
mode
45:15
push
45:16
confirmed
45:17
was
45:17
confirmed
45:17
yesterday
45:18
with
45:18
a
45:18
doodle
45:18
that
45:19
broadly
45:19
promotes
45:20
how
45:20
you
45:20
can
45:20
quote
45:21
search
45:21
like
45:21
never
45:22
before.
45:22
Did
45:23
you
45:23
give
45:23
AI
45:23
mode
45:24
a
45:24
try
45:24
yesterday
45:24
and
45:25
what
45:25
was
45:25
your
45:25
verdict
45:26
if
45:26
you
45:26
did?
45:27
Yes,
45:28
I've
45:28
been
45:28
giving
45:29
AI
45:29
mode
45:29
a
45:29
try
45:30
for
45:30
the
45:30
last
45:30
month
45:30
and
45:31
I
45:31
love
45:31
it
45:31
so
45:31
much.
45:31
I
45:32
posted,
45:33
I
45:33
did
45:33
the
45:34
Mango
45:35
outfit
45:36
style
45:37
and
45:38
then
45:38
tried
45:38
on
45:38
the
45:39
actual
45:39
product
45:40
in
45:40
Barcelona
45:41
when
45:41
I
45:41
was
45:41
at
45:41
Mango
45:42
and
45:42
I
45:42
was
45:42
very
45:42
impressed.
45:44
And
45:44
I
45:44
was
45:44
just
45:44
talking
45:45
to
45:45
Hillary
45:45
Littleton
45:46
of
45:46
FitMatch
45:47
yesterday
45:48
about
45:48
how
45:48
skinny
45:49
and
45:49
attractive
45:49
it
45:50
makes
45:50
you
45:50
look,
45:50
actually
45:51
cute.
45:52
So
45:52
compared
45:53
to
45:53
some
45:53
of
45:53
the
45:53
other
45:53
fit
45:54
finders
45:54
you
45:54
like,
45:55
you
45:55
put
45:55
on
45:55
the
45:55
outfit.
45:56
Google
45:56
AI
45:57
mode
45:57
puts
45:57
the
45:57
outfit
45:58
on
45:58
you.
45:58
And
45:58
I
45:58
was
45:58
like,
45:58
ooh,
45:59
I
45:59
look
45:59
really
46:00
good
46:00
in
46:00
this.
46:01
Not
46:01
quite
46:01
as
46:02
good
46:02
as
46:02
I
46:02
do
46:02
in
46:03
real
46:03
life
46:03
in
46:03
that
46:03
outfit,
46:04
but
46:04
it
46:04
definitely
46:05
gets
46:06
my
46:06
vote.
46:06
I
46:06
love
46:07
AI
46:07
mode
46:08
from
46:08
a
46:09
consumer
46:09
experience
46:09
standpoint.
46:10
Do
46:10
you
46:10
like
46:10
that
46:10
though?
46:11
Do
46:11
you
46:11
like
46:11
thinking
46:12
the
46:12
garment's
46:12
going
46:12
to
46:12
fit
46:12
a
46:13
certain
46:13
way
46:13
and
46:13
then,
46:13
you
46:14
know.
46:14
You
46:14
know,
46:14
you
46:14
get
46:15
the
46:15
garment?
46:15
I
46:15
don't
46:16
know
46:16
if
46:16
this
46:16
happened,
46:16
but
46:16
did
46:17
you
46:17
get
46:17
the
46:17
garment
46:17
and
46:17
it,
46:18
like,
46:18
didn't
46:18
fit
46:18
that
46:18
way?
46:19
Like,
46:19
is
46:19
that.
46:19
I
46:20
mean,
46:20
there
46:20
is
46:20
satisfying.
46:21
Is
46:21
it
46:21
friction
46:22
filled?
46:22
Like,
46:22
how
46:22
do
46:22
you
46:22
think
46:22
about
46:23
that?
46:23
There
46:23
is
46:23
definitely
46:24
some
46:24
differences,
46:24
but
46:25
I
46:25
still
46:26
felt
46:26
like
46:26
I
46:27
would
46:27
have
46:27
kept,
46:27
like,
46:28
that
46:28
the
46:28
garment
46:29
still
46:29
fit
46:29
me
46:30
well,
46:30
and
46:31
I
46:31
still
46:31
would
46:31
have
46:31
kept
46:32
it.
46:32
I
46:32
would
46:32
have.
46:32
I
46:33
would
46:33
have
46:33
purchased
46:33
that
46:34
item.
46:34
I
46:34
would
46:35
have
46:35
been
46:35
happy
46:35
if
46:35
I
46:35
purchased
46:36
that
46:36
item
46:36
online
46:37
and
46:37
got
46:38
that.
46:38
Even
46:39
though
46:39
it
46:39
was.
46:39
The
46:39
fit
46:40
wasn't
46:40
exactly
46:40
the
46:41
same,
46:42
I
46:42
still
46:43
was
46:43
very
46:44
pleasantly
46:45
surprised
46:45
by
46:46
the
46:46
recommendations
46:47
that
46:47
it
46:47
made.
46:47
So.
46:48
Nice.
46:49
Still
46:49
some
46:50
work
46:50
to
46:50
do
46:50
there,
46:50
though.
46:52
All
46:52
right,
46:53
Chris,
46:53
question
46:54
number
46:54
three.
46:55
Jeff
46:55
Bezos
46:56
and
46:56
Lauren
46:56
Sanchez
46:57
got
46:57
married
46:57
in
46:57
Venice
46:58
last
46:58
week.
46:58
I
46:59
have
46:59
to
46:59
know,
46:59
which
46:59
celebrity
47:00
guests
47:00
were
47:00
you
47:00
most
47:01
surprised
47:01
to
47:01
see?
47:02
Got
47:02
the
47:02
invite
47:02
to
47:02
the
47:03
wedding.
47:04
Oh,
47:04
geez.
47:04
And,
47:05
I
47:05
mean,
47:05
you
47:05
came
47:05
in
47:05
hot
47:06
in
47:06
this
47:06
podcast.
47:06
I'm
47:06
gonna
47:07
come
47:07
in
47:07
hot
47:07
right
47:07
here.
47:07
Don't
47:08
even
47:08
get
47:08
me
47:08
started
47:09
on
47:09
this
47:09
wedding.
47:09
And,
47:09
I
47:10
mean,
47:10
did
47:10
anyone
47:10
that
47:11
actually
47:11
attended
47:11
this
47:11
wedding
47:12
even
47:12
know
47:12
Jeff
47:13
Bezos,
47:13
like,
47:14
and
47:14
his
47:14
wife?
47:14
Like,
47:15
it
47:15
was.
47:15
I
47:15
don't
47:15
know,
47:16
celebrities.
47:16
The
47:16
whole
47:17
list
47:17
was
47:17
like,
47:17
celebrities.
47:17
I
47:18
was
47:18
like,
47:18
come
47:18
on.
47:18
Like,
47:19
where's
47:19
your
47:19
friends
47:19
and
47:20
family?
47:20
Like,
47:21
you
47:21
know,
47:21
like,
47:21
where
47:21
are
47:21
they
47:22
in
47:22
this
47:22
mix?
47:22
But,
47:23
well,
47:23
they're
47:23
not
47:23
as
47:23
interesting.
47:24
They're
47:25
not
47:25
as
47:25
interesting
47:25
to
47:25
put
47:26
on
47:26
tmz.
47:27
No.
47:27
Curious
47:28
how
47:28
many
47:28
of
47:28
them
47:28
even
47:29
has,
47:29
you
47:29
know,
47:29
Like,
47:30
I
47:30
don't
47:30
know.
47:30
Like,
47:30
you
47:31
know,
47:31
I
47:31
mean,
47:31
I
47:31
guess
47:31
when
47:31
you're
47:32
that
47:32
rich,
47:32
it's
47:32
hard
47:32
to
47:32
have
47:32
close
47:33
friends.
47:33
But
47:34
my
47:34
favorite
47:35
guests
47:35
were
47:35
definitely,
47:35
though,
47:36
Tom
47:36
Brady
47:36
and
47:36
Sydney
47:37
Sweeney,
47:38
which.
47:38
Have
47:38
you
47:39
heard
47:39
the
47:39
rumors?
47:39
It
47:39
appears
47:40
old
47:40
Tommy
47:41
may
47:41
have
47:41
been
47:42
making
47:42
a
47:42
play
47:42
for
47:42
her
47:43
despite
47:43
being
47:44
20
47:44
years
47:44
her
47:45
senior,
47:45
too.
47:47
Do
47:47
you
47:47
think?
47:47
Here's
47:47
my
47:48
question
47:48
for
47:48
you,
47:48
Ed.
47:48
Do
47:48
you
47:48
think
47:48
she
47:49
asked
47:49
him?
47:49
Did
47:49
you
47:49
think
47:49
she
47:49
went
47:50
up
47:50
to
47:50
him?
47:50
She's
47:50
like,
47:50
so,
47:51
did
47:51
Tom.
47:51
Did
47:51
you
47:52
try
47:52
my
47:52
soap?
47:53
Gross.
47:54
No,
47:54
I
47:54
hope
47:55
not.
47:55
This
47:55
is
47:56
so
47:57
the
47:57
most
47:57
disgusting.
47:58
No
47:59
Tom
47:59
Brady.
48:00
Go
48:00
find
48:00
someone
48:01
your
48:01
own
48:01
age.
48:02
Actually,
48:02
Tom
48:02
Brady
48:03
is
48:03
probably
48:03
like,
48:03
hey,
48:03
I
48:04
tried
48:04
your
48:04
soap.
48:05
I
48:05
really
48:05
liked
48:05
it.
48:06
That's.
48:06
That's
48:06
Tom
48:06
Brady's
48:07
move.
48:07
I
48:07
bet
48:07
that
48:07
was
48:07
his.
48:08
Go
48:08
total
48:08
creep.
48:09
That's
48:09
such
48:09
a
48:09
creep
48:10
thing
48:10
to
48:10
say.
48:11
Ugh,
48:12
gross.
48:12
I've
48:12
heard
48:13
stories
48:13
about
48:13
Tom
48:13
Brady
48:14
from
48:14
back
48:14
in
48:14
his
48:14
early
48:14
Boston
48:15
days.
48:15
All
48:16
right,
48:16
the
48:16
trailer.
48:16
Running
48:17
man,
48:17
the
48:17
remake
48:17
of
48:18
the
48:18
1980s
48:18
movie
48:19
starring
48:19
Arnold
48:19
Schwarzenegger,
48:20
debuted
48:21
yesterday.
48:21
I
48:21
have
48:21
not
48:21
seen
48:21
it
48:22
yet.
48:22
I
48:22
need
48:22
to
48:22
watch
48:22
that,
48:22
actually.
48:23
What
48:23
are
48:23
your
48:23
top
48:24
five
48:24
Arnold
48:25
movies
48:25
ranked
48:26
five
48:26
through
48:26
one,
48:27
starting
48:27
with
48:27
number
48:27
five?
48:29
Well,
48:29
you
48:29
know,
48:29
I
48:30
haven't
48:30
seen
48:30
the
48:30
Terminators
48:31
in
48:32
Completion.
48:32
We
48:33
talked
48:33
about
48:33
that
48:33
on
48:33
a
48:34
previous
48:34
show.
48:35
So
48:36
the
48:36
only.
48:37
I
48:37
had
48:37
to
48:37
look
48:37
up
48:37
all
48:38
of
48:38
his
48:38
movies.
48:39
Number
48:39
five
48:39
is
48:40
Junior.
48:41
Number
48:41
four
48:42
is
48:42
True
48:42
Lies.
48:43
Number
48:43
three
48:44
is
48:44
Batman
48:44
and
48:45
Robin.
48:46
Two
48:46
is
48:46
Jingle
48:47
all
48:47
the
48:47
Way.
48:48
And
48:48
number
48:48
one,
48:49
the.
48:49
In
48:49
my
48:49
opinion,
48:50
the
48:50
best
48:50
Arnold
48:50
Schwarzenegger
48:51
movie
48:51
and
48:52
one
48:52
of
48:52
the
48:52
greatest
48:52
movies
48:53
of
48:53
all
48:53
time,
48:53
Kindergarten
48:54
Cop.
48:55
That
48:55
movie
48:56
so
48:56
good.
48:57
Better
48:57
than
48:58
all
48:58
the
48:58
rest
48:58
of
48:58
them,
48:58
I
48:59
think.
48:59
I
49:00
think
49:00
you're
49:00
gonna
49:00
have
49:00
a
49:01
lot
49:01
of
49:01
disagreement
49:01
on
49:02
social
49:02
media
49:02
with
49:02
that
49:03
list.
49:03
Oh,
49:03
my
49:03
God.
49:04
That's
49:04
fine.
49:04
I'm
49:04
okay
49:05
with
49:05
it.
49:05
Kindergarten
49:06
Cop.
49:06
I'll
49:07
take
49:07
it
49:07
to
49:07
the
49:07
grave.
49:08
I
49:08
loved
49:08
that
49:09
movie.
49:09
I
49:09
thought
49:09
it
49:09
was
49:10
so
49:10
good.
49:11
Oh,
49:11
my
49:11
God.
49:12
There's
49:12
only
49:12
probably
49:12
one
49:13
maybe
49:13
True
49:13
Lies
49:13
that
49:13
would
49:14
make
49:14
my
49:14
top
49:14
five.
49:14
But
49:15
anyway.
49:15
Oh,
49:15
my
49:15
God,
49:16
that's
49:16
crazy.
49:16
I
49:16
can't
49:16
wait
49:17
to
49:17
hear
49:17
what
49:17
people
49:17
think
49:17
about
49:17
that
49:18
list.
49:18
All
49:18
right,
49:18
happy
49:19
birthday
49:19
today
49:20
to
49:20
Margot
49:20
Robbie,
49:21
Lindsay
49:21
Lohan,
49:22
and
49:22
to
49:22
the
49:23
man
49:23
who
49:23
shares
49:23
my
49:24
distaste
49:24
for
49:24
destination
49:25
weddings,
49:26
Larry
49:26
David.
49:27
And
49:27
remember,
49:27
if
49:28
you
49:28
can
49:28
only
49:28
listen
49:28
or
49:29
read
49:29
one
49:29
retail
49:30
blog
49:30
in
49:30
the
49:30
business,
49:31
make
49:31
it
49:31
on
49:31
me.
49:31
Talk.
49:31
Don't.
49:32
Only
49:32
retail
49:32
media
49:32
outlet.
49:32
Run
49:33
by
49:33
two
49:33
former
49:33
executives
49:34
from
49:34
a
49:34
current
49:34
top
49:34
10
49:35
US
49:35
retailer,
49:36
our
49:36
Fast
49:36
5
49:36
podcast
49:37
is
49:37
the
49:37
quickest,
49:37
fastest
49:38
rundown
49:38
of
49:38
all
49:38
the
49:38
week's
49:39
top
49:39
news
49:39
in
49:40
our
49:40
daily
49:40
newsletter.
49:41
The
49:41
Retail
49:41
Daily
49:41
Minute
49:42
tells
49:42
you
49:42
all
49:42
you
49:42
need
49:42
to
49:42
know
49:43
each
49:43
day
49:43
to
49:43
stay
49:44
on
49:44
top
49:44
of
49:44
your
49:44
game
49:44
as
49:45
a
49:45
retail
49:45
executive
49:46
and
49:46
also
49:46
regularly
49:47
feature
49:47
special
49:47
content
49:48
that
49:48
is
49:48
exclusive
49:48
to
49:49
us
49:49
and
49:49
that
49:49
Ann
49:50
and
49:50
I
49:50
take
49:50
a
49:50
lot
49:50
of
49:50
pride
49:51
in
49:51
doing
49:51
just
49:51
for
49:51
you.
49:52
Thanks
49:52
as
49:52
always
49:52
for
49:52
listening
49:53
and
49:53
please
49:53
remember
49:53
to
49:53
like
49:53
and
49:53
leave
49:54
us
49:54
a
49:54
review
49:54
wherever
49:54
you
49:54
happen
49:55
to
49:55
listen
49:55
to
49:55
your
49:55
podcast
49:56
or
49:56
on
49:56
YouTube.
49:57
You
49:57
can
49:57
pause
49:57
today
49:57
by
49:58
simply
49:58
going
49:58
to
49:58
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50:00
omnitalkretail.
50:02
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50:07
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50:07
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