Latest / Omni Talk Retail / AI's In Charge, Best Buy's In Transition & Walmart's Stores Are Amazon's Worst Nightmare | Fast Five

Transcript

AI's In Charge, Best Buy's In Transition & Walmart's Stores Are Amazon's Worst Nightmare | Fast Five · Omni Talk Retail

0:04
The
0:04
future
0:05
of
0:05
consumer
0:06
is
0:06
in
0:06
community
0:06
building.
0:07
Would
0:07
you
0:07
ever
0:07
put
0:08
mattresses
0:08
in
0:08
a
0:08
Best
0:09
Buy
0:09
store?
0:09
This
0:10
is
0:10
the
0:10
worst
0:10
the
0:10
technology
0:11
is
0:11
ever
0:11
going
0:11
to
0:12
be.
0:12
You
0:12
can't
0:12
just
0:13
build
0:13
it.
0:13
And
0:13
they
0:13
will
0:13
come.
0:14
The
0:14
leadership
0:14
becomes
0:15
about
0:15
not
0:15
only
0:16
managing
0:16
people
0:17
but
0:18
around
0:18
leading
0:19
systems.
0:23
Hello
0:23
and
0:24
welcome
0:24
to
0:24
the
0:24
OmniTalk
0:25
Retail
0:25
Fast
0:26
5.
0:26
In
0:26
this
0:27
week's
0:27
episode,
0:28
let's
0:28
just
0:28
say
0:28
for
0:29
all
0:29
you
0:29
Godfather
0:30
fans
0:30
out
0:30
there,
0:31
my
0:31
guest
0:32
and
0:32
I
0:32
definitely
0:33
went
0:33
to
0:33
the
0:33
mattresses
0:34
because
0:34
this
0:35
week
0:35
the
0:35
former
0:36
CEO
0:36
of
0:37
Serta
0:37
Simmons
0:38
Bedding,
0:38
Shelly
0:38
Huff
0:39
got
0:39
behind
0:40
the
0:40
microphones
0:41
with
0:41
me.
0:42
Shelly
0:42
was
0:42
in
0:43
the
0:43
us
0:43
I
0:43
was
0:43
in
0:44
the
0:44
Berlin.
0:45
And
0:45
God,
0:45
isn't
0:46
modern
0:46
technology
0:47
just
0:47
the
0:48
greatest?
0:48
So
0:49
I
0:49
owe
0:49
a
0:49
big
0:49
darkest
0:50
Shane
0:50
to
0:50
Shelly
0:51
and
0:51
to
0:51
all
0:51
our
0:51
wonderful
0:52
partners
0:52
who
0:52
make
0:53
this
0:53
podcast
0:54
possible
0:54
each
0:54
and
0:54
every
0:55
week.
0:55
Let's
0:55
get
0:56
to
0:56
today's
0:57
show.
0:58
This
0:58
episode
0:59
of
0:59
The
0:59
OmniTalk
0:59
Retail
1:00
Fast
1:00
5
1:00
is
1:00
brought
1:01
to
1:01
you
1:01
by
1:01
the
1:01
A
1:02
and
1:02
M
1:02
Consumer
1:02
and
1:02
Retail
1:03
Group.
1:03
The
1:03
A
1:03
and
1:03
M
1:03
Consumer
1:04
and
1:04
Retail
1:04
Group
1:04
is
1:04
a
1:05
management
1:05
consulting
1:05
firm
1:06
that
1:06
tackles
1:06
the
1:06
most
1:07
complex
1:07
challenges
1:08
and
1:08
advances
1:08
its
1:09
clients,
1:09
people
1:09
and
1:10
communities
1:10
toward
1:11
their
1:11
maximum
1:12
potential.
1:12
CRG
1:13
brings
1:13
the
1:13
experience,
1:14
tools
1:14
and
1:14
operator
1:15
like
1:15
pragmatism
1:16
to
1:16
help
1:16
retailers
1:17
and
1:17
consumer
1:17
products
1:18
companies
1:18
be
1:19
on
1:19
the
1:19
right
1:19
side
1:20
of
1:20
disruption
1:21
and
1:21
Miracle,
1:22
the
1:22
catalyst
1:23
of
1:23
commerce.
1:24
Over
1:24
450
1:25
retailers
1:25
are
1:25
opening
1:26
new
1:26
revenue
1:26
streams
1:27
with
1:27
marketplaces,
1:28
dropship
1:28
and
1:28
retail
1:29
media
1:29
and
1:30
succeeding.
1:30
With
1:30
Miracle,
1:31
you
1:31
can
1:31
unlock
1:32
more
1:32
products,
1:32
more
1:32
partners
1:33
and
1:33
more
1:33
profits
1:34
without
1:34
the
1:34
heavy
1:35
lifting.
1:35
So
1:35
what's
1:36
holding
1:36
you
1:36
back?
1:36
Visit
1:37
Miracle.com
1:38
to
1:38
learn
1:38
more.
1:38
That's
1:39
M
1:39
I
1:39
R
1:39
A
1:40
K
1:40
L.com
1:42
and
1:42
Corso.
1:43
Your
1:43
stores
1:43
are
1:44
full
1:44
of
1:44
data,
1:44
but
1:45
are
1:45
your
1:45
teams
1:45
acting
1:46
on
1:46
it?
1:46
Corso
1:47
turns
1:47
retail
1:48
data
1:48
into
1:48
personalized
1:49
daily
1:49
to
1:49
dos
1:50
that
1:50
drive
1:50
sales,
1:50
reduce
1:51
waste
1:52
and
1:52
improve
1:52
execution.
1:53
No
1:53
fluff,
1:54
just
1:54
action.
1:55
Help
1:55
your
1:55
managers
1:56
focus
1:56
on
1:56
what
1:56
matters
1:57
most.
1:57
Visit
1:57
corso.com
1:59
to
1:59
see
1:59
Intelligent
2:00
management
2:00
in
2:01
motion
2:01
and
2:02
Infios.
2:02
At
2:03
Infios,
2:03
they
2:03
unite
2:04
warehousing,
2:04
transportation
2:05
and
2:05
order
2:05
management
2:06
into
2:06
a
2:06
seamless,
2:07
adaptable
2:07
network.
2:08
Infios
2:09
helps
2:09
you
2:09
stay
2:09
ahead
2:10
from
2:10
promise
2:10
to
2:11
delivery
2:11
and
2:11
every
2:12
step
2:12
in
2:12
between.
2:13
To
2:13
learn
2:13
more,
2:14
visit
2:14
infios.com
2:16
and
2:16
Ocampo
2:17
Capital.
2:17
Ocampo
2:18
Capital
2:18
is
2:18
a
2:18
venture
2:19
capital
2:19
firm
2:19
founded
2:20
by
2:20
retail
2:20
executives
2:21
with
2:21
the
2:21
aim
2:22
of
2:22
helping
2:22
early
2:22
stage
2:23
consumer
2:23
businesses
2:24
succeed
2:24
through
2:25
investment
2:25
and
2:25
operational
2:26
support.
2:27
Learn
2:27
more@ocampocapital.com
2:30
and
2:30
finally,
2:31
Valoc
2:31
Veloc
2:32
is
2:32
a
2:32
proven
2:32
E
2:32
grocery
2:33
technology
2:33
built
2:34
by
2:34
grocers
2:35
for
2:35
grocers,
2:36
exactly
2:36
the
2:36
type
2:36
of
2:37
technology
2:37
we
2:37
like
2:37
here
2:38
at
2:38
Omnitalk.
2:38
They
2:39
unite
2:39
proprietary
2:40
software
2:40
with
2:40
right
2:41
size
2:41
automation
2:42
to
2:42
make
2:42
same
2:42
Day
2:42
delivery
2:43
profitable.
2:44
To
2:44
learn
2:44
more,
2:44
visit
2:45
veloc.
2:45
Com.
2:46
That's
2:46
V,
2:46
E,
2:47
L,
2:47
O
2:47
Q.
2:50
Shelly
2:50
Huff
2:50
in
2:51
Arizona.
2:51
Wildcat.
2:52
A
2:52
fellow
2:52
Arizonan
2:53
on
2:53
the
2:53
podcast
2:54
what
2:54
is
2:54
this
2:54
world
2:55
coming
2:55
to?
2:56
How
2:56
have
2:56
you
2:56
been
2:56
keeping?
2:58
Hi,
2:58
Chris.
2:59
Well,
2:59
it's
2:59
a
2:59
great
2:59
year
3:00
to
3:00
be
3:00
a
3:00
Wildcat.
3:00
I
3:01
know
3:01
our
3:01
basketball
3:01
team
3:02
didn't
3:02
make
3:02
it
3:02
quite
3:02
as
3:03
far
3:03
as
3:03
we
3:03
wanted
3:03
in
3:03
the
3:04
tournament
3:04
this
3:04
year,
3:04
but
3:05
seeing
3:05
them
3:05
at
3:06
the
3:06
Final
3:06
Four
3:06
was
3:06
certainly
3:07
wonderful.
3:08
And
3:08
I've
3:09
been
3:09
doing
3:09
well.
3:09
Fantastic,
3:10
enjoying
3:10
life
3:10
and
3:11
work,
3:11
happy
3:11
to
3:11
be
3:11
here.
3:12
And
3:13
it
3:14
seems
3:14
like
3:14
every
3:14
time
3:14
you
3:14
and
3:15
I
3:15
catch
3:15
up,
3:15
one
3:15
of
3:15
us
3:15
is
3:16
across
3:16
the
3:16
world.
3:17
So
3:17
thanks
3:17
for
3:17
making
3:17
this
3:18
happen
3:18
today.
3:19
That's
3:19
right,
3:19
yeah.
3:19
When
3:19
he
3:20
first
3:20
talked
3:20
to
3:20
you
3:20
in
3:20
Portugal,
3:21
I
3:21
was
3:21
in
3:21
Minnesota
3:22
and
3:22
now
3:22
I'm
3:23
in
3:23
Berlin.
3:23
And
3:23
you're
3:24
where?
3:24
Are
3:24
you
3:24
in
3:24
Chicago
3:25
today?
3:25
I'm
3:25
in
3:26
Chicago
3:26
today
3:26
for
3:27
a
3:27
conference.
3:27
Yeah,
3:28
Chicago.
3:29
Yeah.
3:29
So,
3:29
so.
3:30
Yeah,
3:30
so,
3:30
so,
3:30
so.
3:31
Tell
3:31
her.
3:31
I
3:31
know
3:31
you.
3:32
The
3:32
audience
3:32
doesn't
3:33
know
3:33
you.
3:33
I
3:33
mean,
3:33
some
3:34
of.
3:34
There's
3:34
probably
3:34
a
3:34
lot
3:35
of
3:35
people
3:35
in
3:35
the
3:35
retail
3:35
industry
3:35
that
3:36
know
3:36
you,
3:36
but
3:36
for
3:37
those
3:37
maybe
3:37
that
3:37
are,
3:37
you
3:38
know,
3:38
hearing
3:38
you
3:38
for
3:38
the
3:39
first
3:39
time.
3:39
Tell
3:39
us
3:39
about
3:40
yourself,
3:40
Shelley.
3:41
Sure,
3:41
happy
3:41
to.
3:42
I'm
3:42
a
3:42
retail
3:42
and
3:43
consumer
3:43
products
3:43
executive,
3:44
most
3:44
notably
3:45
spent
3:45
14
3:45
years
3:45
at
3:46
Walmart
3:46
in
3:46
a
3:46
series
3:46
of
3:47
leadership
3:48
roles
3:48
there,
3:48
mostly
3:49
in
3:49
merchandising
3:49
similar
3:50
to
3:50
yourself,
3:51
and
3:51
had
3:51
a
3:51
big
3:51
part
3:52
in
3:52
shaping
3:52
Walmart's
3:53
digital
3:53
transformation.
3:54
Following
3:54
Walmart,
3:55
I
3:55
was
3:55
the
3:55
CEO
3:55
of
3:56
Certus
3:56
Simmons
3:56
Betting,
3:57
leading
3:57
transformation
3:58
efforts
3:58
there.
3:59
And
3:59
then
3:59
most
3:59
recently
4:00
I
4:00
co
4:01
founded
4:01
and
4:01
served
4:02
in
4:02
the
4:02
CEO
4:03
of
4:03
a
4:04
company
4:04
called
4:04
the
4:04
Interval,
4:05
which
4:05
is
4:05
a
4:05
peer
4:05
led
4:06
community
4:06
of
4:06
C
4:07
suite
4:07
executives
4:08
and
4:08
founders
4:08
who
4:08
are
4:09
in
4:09
career
4:09
transition.
4:10
And
4:10
Chris,
4:10
this
4:11
may
4:11
seem
4:11
like
4:11
a
4:12
big
4:12
pivot,
4:12
but
4:12
I
4:13
believe
4:13
the
4:13
future
4:13
of
4:14
consumer
4:14
is
4:14
in
4:14
community
4:15
building.
4:15
And
4:15
I
4:16
personally
4:16
am
4:16
having
4:17
a
4:17
ton
4:17
of
4:17
fun
4:18
climbing
4:18
a
4:18
new
4:19
mountain.
4:19
Oh,
4:20
wow.
4:20
Okay.
4:20
How
4:20
long,
4:21
how
4:21
long
4:21
have
4:21
you
4:21
been
4:21
doing
4:21
that?
4:22
Well,
4:23
we
4:23
started
4:23
about
4:24
18
4:24
months
4:24
ago
4:25
and
4:25
this
4:25
community
4:26
grew
4:26
very
4:26
organically
4:27
to
4:27
over
4:28
100
4:28
executives.
4:29
And
4:29
then
4:29
we
4:29
formalized
4:30
it
4:30
as
4:30
a
4:30
company,
4:30
my
4:31
co
4:31
founder
4:31
and
4:31
I,
4:31
Marian
4:32
Banner
4:32
Karam
4:33
in
4:33
February.
4:33
And
4:34
so
4:34
we've
4:34
been
4:34
meeting
4:35
a
4:35
lot
4:35
of
4:35
new
4:36
folks
4:36
that
4:36
are
4:36
coming
4:36
into
4:37
our
4:37
community
4:37
and
4:38
broadening
4:38
the
4:38
aperture
4:39
of
4:39
what's
4:39
possible
4:40
when
4:40
they're
4:40
on
4:41
a
4:41
career
4:41
break.
4:42
Nice,
4:42
nice.
4:42
Are
4:43
you
4:43
missing
4:43
retail
4:43
at
4:44
all?
4:44
I
4:44
mean,
4:45
I
4:45
think
4:45
you
4:45
can
4:45
take
4:45
the
4:46
retail
4:46
out
4:46
of
4:46
you,
4:46
but
4:47
you
4:47
can't
4:47
ever
4:47
fully
4:47
get
4:47
rid
4:48
of
4:48
it.
4:48
Is
4:48
that
4:48
true,
4:48
Shelly?
4:49
I
4:49
agree
4:50
with
4:50
that.
4:50
So
4:50
my
4:51
obsession
4:51
with
4:51
consumers
4:52
and
4:53
service
4:53
and
4:54
people
4:54
development
4:55
came
4:55
with
4:56
me
4:56
along
4:56
this
4:56
journey
4:56
of
4:57
community
4:57
development.
4:59
But
4:59
no,
4:59
I
4:59
pay
4:59
a
4:59
lot
5:00
of
5:00
attention
5:00
to
5:00
retail.
5:01
I'm
5:01
always
5:01
out
5:01
in
5:01
the
5:02
market.
5:02
I
5:02
am
5:03
a
5:03
shopper
5:03
myself.
5:04
And
5:04
so
5:04
I
5:04
don't
5:05
know
5:05
if
5:05
I'll
5:05
ever
5:05
be
5:06
that
5:06
far
5:06
away
5:06
from
5:07
it.
5:07
Yeah,
5:08
right,
5:08
right.
5:08
Which
5:08
is
5:08
why
5:09
I
5:09
came
5:09
and
5:09
grabbed
5:09
you
5:10
as
5:10
soon
5:10
as
5:10
I
5:10
got
5:10
the
5:10
opportunity.
5:11
I
5:11
was
5:11
like,
5:11
shelley,
5:12
what
5:12
do
5:12
you
5:12
say
5:12
about
5:12
being
5:12
a
5:13
guest
5:13
host
5:13
on
5:13
the
5:13
podcast?
5:14
And
5:14
you're
5:14
like,
5:14
yes,
5:15
let's
5:15
do
5:15
it.
5:15
So.
5:16
All
5:16
right,
5:16
Shell.
5:17
Well,
5:17
let's
5:17
get
5:17
to
5:18
this
5:18
week's
5:18
headlines,
5:19
because
5:19
in
5:19
this
5:19
week's
5:20
Fast
5:20
5,
5:21
we've
5:21
got
5:21
news
5:21
on
5:21
Best
5:22
Buy
5:22
announcing
5:23
a
5:23
major
5:23
CEO
5:24
transition
5:25
with
5:25
Corey
5:26
Barry
5:26
set
5:26
to
5:26
step
5:27
down
5:27
and
5:27
Jason
5:27
Bonfig
5:28
stepping
5:28
up.
5:29
Party
5:29
City
5:30
staging
5:30
a
5:30
retail
5:30
comeback.
5:31
This
5:31
time
5:31
living
5:32
inside
5:32
Staples
5:33
stores
5:33
across
5:33
the
5:34
country.
5:34
Dairy
5:35
Queen
5:35
expanding
5:35
its
5:36
voice.
5:36
AI
5:36
pilot
5:37
at
5:37
the
5:37
drive
5:37
thru
5:37
with
5:38
technology
5:38
partner
5:39
Presto.
5:39
And
5:40
Walmart,
5:40
which
5:41
Walmart,
5:41
Shelley's
5:42
experience
5:42
is
5:42
going
5:42
to
5:42
be
5:42
keen
5:43
on
5:43
this
5:43
one.
5:43
Walmart
5:44
reportedly
5:44
piloting
5:45
store
5:45
based
5:45
fulfillment
5:46
of
5:46
marketplace
5:47
orders
5:47
that
5:47
could
5:47
shrink
5:48
delivery
5:48
times
5:49
from
5:49
days
5:50
to
5:50
just
5:50
hours.
5:51
But
5:51
we
5:51
begin
5:52
today
5:52
with
5:52
the
5:52
story
5:53
of
5:53
a
5:53
San
5:54
Francisco
5:54
store
5:55
that
5:55
has
5:55
no
5:56
human
5:56
boss,
5:57
just
5:57
an
5:58
AI
5:58
named
5:59
Luna.
6:00
Whoa.
6:00
According
6:00
to
6:01
USA
6:01
Today,
6:01
an
6:02
AI
6:02
agent
6:02
named
6:02
Luna
6:03
is
6:03
now
6:03
the
6:04
boss
6:04
of
6:04
a
6:04
real
6:04
retail
6:05
store
6:05
in
6:05
San
6:05
Francisco.
6:07
Backed
6:07
by
6:07
a
6:07
$100,000
6:08
budget
6:08
from
6:08
its
6:09
creators
6:09
at
6:09
Andon
6:10
Labs,
6:10
Luna
6:11
picked
6:11
the
6:11
inventory,
6:12
designed
6:12
the
6:12
store,
6:13
hired
6:13
the
6:13
human
6:13
staff,
6:14
and
6:14
signed
6:15
the
6:15
lease.
6:15
Believe
6:16
it
6:16
or
6:16
not,
6:16
Luna
6:17
communicates
6:17
with
6:18
customers
6:18
via
6:18
a
6:18
corded
6:19
telephone
6:19
handset
6:20
in
6:20
the
6:20
store
6:21
and
6:21
manages
6:21
her
6:22
human
6:22
employees
6:22
via
6:23
Slack,
6:23
handling
6:24
data,
6:24
planning
6:25
and
6:25
logistics,
6:25
while
6:26
the
6:26
human
6:26
staff
6:26
handled
6:27
the
6:27
warmth
6:27
and
6:28
in
6:28
person,
6:28
customer
6:29
service.
6:29
Yeah,
6:29
I
6:29
bet.
6:30
Luna
6:30
chose
6:31
all
6:31
the
6:31
inventory,
6:31
designed
6:32
a
6:32
mural
6:32
for
6:32
the
6:32
store
6:33
wall,
6:33
commissioned
6:33
painters
6:34
to
6:34
execute
6:34
it,
6:34
and
6:35
even
6:35
signed
6:35
up
6:35
for
6:36
trash
6:36
collection
6:37
in
6:37
AD
6:38
system
6:39
and
6:39
AT&T
6:40
Internet.
6:41
However,
6:42
Shelly,
6:42
however,
6:43
Shelley
6:43
and
6:43
Omnitok
6:44
fans,
6:44
there
6:44
have
6:44
been
6:45
some
6:45
early
6:45
stumbles.
6:46
Luna
6:47
has
6:47
reportedly
6:47
been
6:47
over
6:48
ordering
6:48
candles.
6:49
There
6:49
are
6:49
no
6:50
visible
6:50
price
6:50
tags
6:51
on
6:51
products.
6:51
Yeah,
6:52
that's
6:52
a
6:52
problem.
6:52
Customers
6:53
must
6:53
ask
6:54
Luna
6:54
for
6:54
prices
6:55
via
6:55
the
6:55
phone.
6:55
And
6:56
two
6:56
female
6:56
employees
6:57
were
6:57
found
6:57
to
6:57
be
6:58
paid
6:58
$2
6:58
less
6:59
per
6:59
hour
6:59
than
6:59
the
7:00
one
7:00
male
7:00
employee,
7:01
though
7:01
Luna
7:02
said
7:02
it
7:02
was
7:03
actually
7:03
based
7:03
on
7:03
retail
7:04
experience.
7:05
Shelley,
7:06
we're
7:07
gonna
7:07
start
7:07
you
7:07
off
7:07
on
7:08
this
7:08
one.
7:08
This
7:08
is.
7:08
This
7:09
is
7:09
a.
7:09
This
7:09
is
7:09
a
7:09
story
7:10
that
7:10
doesn't
7:10
typically
7:11
make,
7:11
you
7:12
know,
7:12
make
7:12
our
7:12
headlines,
7:12
but
7:13
this
7:13
one
7:13
is
7:13
so
7:13
unique,
7:14
we're
7:14
gonna
7:14
start
7:14
off
7:15
with
7:15
this.
7:15
And
7:15
believe
7:16
it
7:16
or
7:16
not,
7:16
and
7:17
not
7:17
surprisingly,
7:17
the
7:18
A
7:18
and
7:18
M
7:18
consumer
7:18
and
7:18
retail
7:19
groups
7:19
put
7:19
you
7:19
on
7:19
the
7:19
spot.
7:20
Question
7:20
of
7:20
the
7:20
week.
7:20
So
7:20
here
7:20
it
7:21
is,
7:22
putting
7:22
Aside
7:22
the
7:23
question
7:23
for
7:23
the
7:23
moment
7:24
of
7:24
whether
7:24
retail
7:24
is
7:25
ready
7:25
for
7:25
an
7:25
AI
7:26
run
7:26
store
7:27
concept,
7:27
what
7:28
are
7:28
the
7:28
most
7:28
important
7:28
things
7:29
the
7:29
retail
7:29
industry
7:30
should
7:30
seek
7:30
to
7:31
learn
7:31
from
7:32
such
7:32
an
7:32
experiment?
7:34
Well,
7:34
I
7:34
personally
7:35
think
7:35
this
7:35
is
7:35
so
7:35
cool.
7:36
And
7:36
this
7:36
is
7:36
what
7:37
I
7:37
love
7:37
about
7:38
what's
7:38
happening
7:39
in
7:39
Silicon
7:40
Valley
7:40
right
7:40
now
7:40
in
7:41
the
7:41
renaissance
7:42
that
7:42
is
7:42
happening
7:42
in
7:42
that
7:43
part
7:43
of
7:43
the
7:43
country.
7:44
This,
7:45
to
7:45
me,
7:45
is
7:45
not
7:45
about
7:45
AI
7:46
replacing
7:46
retail
7:47
leadership,
7:47
it's
7:48
about
7:48
it
7:48
replacing
7:49
the,
7:49
or
7:50
supporting
7:50
the
7:50
operational
7:51
layer
7:52
underneath
7:52
retail
7:53
execution.
7:54
And
7:54
so
7:54
I
7:55
think
7:55
this
7:55
just
7:56
signals
7:56
where
7:57
AI
7:57
is
7:57
going,
7:57
which
7:58
is
7:58
about
7:59
really
7:59
middle
8:00
management
8:01
automation.
8:01
So
8:02
when
8:02
we
8:02
say
8:02
AI,
8:03
we
8:03
mean
8:03
automation.
8:04
And
8:04
so
8:04
when
8:04
I
8:05
talk
8:05
about
8:05
middle
8:05
management
8:05
automation,
8:06
I
8:06
mean
8:06
things
8:07
around
8:07
planning,
8:08
allocation,
8:10
assortment,
8:10
all
8:11
of
8:11
those
8:11
things.
8:12
And
8:12
Chris,
8:12
I
8:13
see,
8:13
I
8:13
think
8:13
the
8:13
biggest
8:14
takeaways
8:14
are
8:14
we
8:15
can
8:15
imagine
8:15
a
8:15
world
8:16
now
8:16
where
8:16
a
8:17
buyer,
8:17
for
8:17
instance,
8:17
might
8:18
be
8:18
selecting
8:18
an
8:18
item
8:19
and
8:19
negotiating
8:20
pricing
8:20
and
8:21
AI
8:21
is
8:22
doing
8:22
the
8:22
rest.
8:22
And
8:22
so
8:23
leadership
8:23
comes
8:23
about
8:24
around,
8:24
you
8:25
know,
8:25
becomes
8:26
about
8:26
not
8:27
only
8:27
managing
8:27
people,
8:28
but
8:29
around
8:29
leading
8:30
systems
8:30
and
8:30
understanding
8:31
each
8:31
of
8:31
those
8:32
operational
8:32
layers
8:33
so
8:33
those
8:33
can
8:33
continue
8:34
to
8:34
be
8:34
enhanced.
8:35
What
8:35
I
8:35
thought
8:35
was
8:36
funny
8:36
about
8:36
this
8:36
and
8:36
the
8:37
candle
8:37
situation
8:37
is
8:38
that,
8:38
yeah,
8:38
you
8:39
and
8:39
I
8:39
both
8:39
know
8:39
buyers
8:40
buy
8:40
too
8:41
much
8:41
or
8:41
too
8:41
little
8:41
things
8:41
all
8:42
the
8:42
time,
8:42
myself
8:42
included.
8:43
And
8:43
so
8:44
this,
8:44
to
8:44
me
8:45
is
8:45
interesting
8:45
because
8:46
Luna
8:47
will
8:47
most
8:47
likely
8:48
learn
8:48
from
8:48
this
8:48
and
8:48
not
8:49
make
8:49
that
8:49
error
8:49
again.
8:50
And
8:50
in
8:50
real
8:50
life,
8:51
buyers
8:52
may
8:52
be
8:52
in
8:52
a
8:52
role
8:52
three
8:52
or
8:53
four
8:53
years
8:53
and
8:53
move
8:54
categories
8:54
and
8:55
you're
8:55
having
8:55
to
8:55
teach
8:55
a
8:55
person
8:56
all
8:56
over
8:56
again.
8:57
And
8:57
so
8:58
I
8:58
think
8:58
this
8:58
ultimately
8:59
leads
8:59
to
8:59
fewer
9:00
mistakes,
9:00
as
9:01
AI
9:01
continues
9:02
to
9:02
learn
9:02
here.
9:02
But,
9:03
but
9:03
I
9:03
think
9:03
it's
9:04
super
9:04
interesting.
9:04
And
9:06
I
9:06
also
9:06
think
9:07
what's
9:07
unique
9:07
about
9:08
this
9:08
is
9:09
that
9:09
consumer
9:10
experience
9:10
and
9:11
consumer
9:11
experience
9:12
scores
9:13
are
9:13
going
9:13
to
9:13
continue
9:13
to
9:14
be
9:14
incredibly
9:15
important
9:15
to
9:15
the
9:16
retailers
9:16
that
9:16
do
9:17
it
9:17
the
9:17
best.
9:17
And
9:17
so
9:18
what
9:18
I
9:18
think
9:18
we'll
9:19
learn
9:19
from
9:19
this
9:19
is
9:20
which
9:20
categories
9:21
and
9:21
which
9:21
shopping
9:22
circumstances
9:23
are
9:23
going
9:23
to
9:23
require
9:24
more
9:24
human
9:24
intervention
9:25
than
9:26
not.
9:26
And
9:26
so
9:27
one
9:27
thing
9:27
I
9:28
think
9:28
about
9:28
is
9:28
if
9:28
I
9:28
want
9:29
to
9:29
buy
9:29
a
9:29
stick
9:29
of
9:29
gum,
9:29
I
9:30
probably
9:30
don't
9:30
expect
9:30
to
9:31
interact
9:31
with
9:31
people
9:31
as
9:31
much.
9:32
But
9:32
if
9:32
I'm
9:32
buying
9:32
an
9:32
air
9:33
maze
9:33
scarf
9:33
for
9:33
a
9:33
luxury
9:34
handbag,
9:34
that's
9:34
high
9:35
consideration.
9:35
I
9:35
do.
9:36
But
9:36
again,
9:37
super
9:37
excited
9:38
that
9:38
companies
9:38
are
9:38
trying
9:39
this.
9:39
They're
9:39
not
9:39
the
9:40
only
9:40
ones.
9:40
I'm
9:40
interested
9:41
to
9:41
see
9:41
more
9:41
of
9:41
this
9:42
come
9:42
out
9:42
of
9:42
Silicon
9:42
Valley,
9:43
and
9:44
I'll
9:44
be
9:44
eager
9:45
to
9:45
see
9:45
what
9:45
continues
9:46
to
9:46
happen
9:46
with
9:46
Luna.
9:47
Wow.
9:48
Okay.
9:49
Okay.
9:49
So,
9:50
wow.
9:50
All
9:50
right,
9:50
so.
9:50
So
9:51
be
9:51
honest
9:51
with
9:51
me.
9:51
Be
9:51
honest
9:52
with
9:52
me.
9:52
So
9:52
was
9:52
that,
9:53
was
9:53
that
9:53
your
9:54
initial
9:54
take
9:54
when
9:54
you
9:55
read
9:55
the
9:55
headline,
9:55
or
9:55
were
9:55
you
9:56
kind
9:56
of
9:56
like,
9:56
oh,
9:56
wow,
9:57
this
9:57
is
9:57
weird.
9:57
Or
9:58
did
9:58
you,
9:58
did
9:58
you
9:59
come
9:59
at
9:59
that
9:59
like
10:00
after
10:00
you
10:00
digested
10:01
it,
10:01
knowing
10:01
that
10:01
we
10:01
were
10:01
going
10:01
to
10:02
talk
10:02
about
10:02
it
10:02
today?
10:02
Be
10:03
honest.
10:04
No,
10:04
I
10:04
honestly,
10:05
I
10:05
am
10:05
excited
10:06
about
10:06
what.
10:06
You're
10:06
excited
10:07
about
10:07
it.
10:07
Excited
10:08
about
10:08
what's
10:08
happening
10:08
with
10:09
AI
10:09
as
10:09
it
10:09
relates
10:10
to
10:10
retail.
10:10
So
10:10
when
10:10
I
10:10
read
10:11
this
10:11
headline,
10:11
I
10:12
was
10:12
like,
10:12
yes,
10:12
someone
10:13
finally
10:13
stepped
10:14
forward
10:14
and
10:14
is
10:14
going
10:15
all
10:15
the
10:15
way
10:15
with
10:15
it.
10:16
And
10:16
that's
10:16
a
10:17
typical
10:17
way
10:17
of
10:17
Silicon
10:18
Valley
10:18
companies
10:19
coming
10:19
at
10:19
this.
10:19
They're
10:20
going
10:20
to
10:20
go
10:20
as
10:21
far
10:21
as
10:21
they
10:21
possibly
10:22
can,
10:22
they're
10:22
going
10:22
to
10:22
learn,
10:23
they're
10:23
going
10:23
to
10:23
iterate,
10:24
and
10:24
then
10:24
they're
10:24
going
10:24
to
10:25
execute
10:25
beautifully.
10:26
And
10:26
you
10:27
know,
10:27
a
10:27
couple
10:27
days
10:27
ago
10:27
I
10:28
had
10:28
lunch
10:28
with
10:28
another
10:29
founder
10:29
who's
10:29
billing
10:30
building
10:30
another
10:30
automation
10:31
layer
10:32
for
10:32
retailers
10:33
that's
10:33
basically
10:34
ingesting
10:35
different
10:35
forms
10:35
of
10:36
AI
10:36
that
10:36
can
10:37
serve
10:37
as
10:37
one
10:37
stop
10:37
shop
10:38
for
10:38
many
10:38
elements
10:38
of
10:39
retail
10:39
execution.
10:40
So
10:40
when
10:40
I
10:41
read
10:41
this,
10:41
it
10:41
made
10:41
me
10:41
excited
10:42
because
10:42
there's
10:42
actually
10:42
a
10:43
physical
10:43
presence
10:43
with
10:44
this.
10:44
But
10:44
there's
10:44
a
10:44
lot
10:44
of
10:45
companies
10:45
working
10:45
on
10:45
this
10:46
and
10:46
it's
10:46
really.
10:46
And
10:47
it's,
10:47
it
10:48
makes
10:48
it
10:48
an
10:48
exciting
10:48
time
10:49
to
10:49
be
10:49
a
10:49
retailer.
10:50
Wow.
10:50
Yeah,
10:51
it
10:51
presses
10:51
the
10:51
envelope,
10:52
right?
10:52
I
10:52
mean,
10:52
that's
10:52
the
10:52
cool
10:53
thing
10:53
about
10:53
it.
10:53
Yeah,
10:54
man.
10:55
I
10:55
will
10:55
100%
10:56
agree
10:56
with
10:56
you.
10:56
I
10:56
think
10:56
it's
10:57
wrong
10:57
to
10:57
dismiss
10:57
this
10:58
too
10:58
quickly.
10:58
And
10:58
if
10:59
you're
10:59
reading
10:59
this
10:59
and
10:59
you
10:59
have,
11:00
you
11:00
know,
11:00
I'd
11:01
encourage
11:01
you
11:01
to.
11:01
I
11:01
think,
11:02
Shelley,
11:02
you're
11:02
dead
11:02
right.
11:03
You
11:03
gotta
11:03
think
11:03
about
11:04
it
11:04
from
11:04
the
11:04
lens
11:04
that
11:05
you're
11:05
discussing
11:05
it.
11:06
I
11:06
had
11:07
a
11:07
really
11:07
interesting
11:07
conversation
11:08
this
11:08
morning
11:08
with
11:09
Scott
11:09
Price,
11:10
who's
11:10
the
11:10
CEO
11:11
you
11:11
might
11:11
even
11:11
know,
11:11
a
11:11
former
11:12
Walmart
11:12
guy,
11:12
but
11:13
currently
11:13
the
11:14
CEO
11:14
of
11:14
DFI
11:15
Group,
11:15
which
11:15
is
11:15
a
11:15
large
11:15
grocer
11:16
in
11:17
Asia.
11:18
And
11:18
he
11:18
said,
11:19
I
11:19
asked
11:19
him
11:19
at
11:19
the
11:19
end,
11:20
I
11:20
said,
11:20
how
11:20
are
11:21
you
11:21
thinking
11:21
about
11:21
AI
11:22
impacting
11:22
your
11:22
business?
11:22
And
11:23
he
11:23
brought
11:23
up
11:23
a
11:23
framework
11:23
where
11:24
he's
11:24
looking
11:24
at
11:24
it
11:24
from
11:24
three
11:25
lenses.
11:25
First
11:26
is
11:26
the
11:26
consumer
11:26
facing
11:27
side,
11:27
which
11:27
is
11:27
what
11:27
we've
11:27
been
11:28
talking
11:28
about
11:28
on
11:28
the
11:28
podcast
11:29
every
11:29
week,
11:29
like
11:30
using
11:30
LLMs
11:30
to
11:31
search
11:31
for
11:31
product
11:31
and
11:31
that
11:32
kind
11:32
of
11:32
thing.
11:32
Second
11:33
is
11:33
the
11:33
general,
11:34
the
11:34
productivity
11:35
that
11:35
you're
11:36
gonna
11:36
get
11:36
from
11:37
using
11:37
agents
11:38
and
11:38
deploying
11:38
them
11:38
in
11:39
your
11:39
operation,
11:39
which
11:39
is
11:40
a
11:40
little
11:40
bit
11:40
of
11:40
what's
11:41
happening
11:41
here.
11:42
And
11:42
then
11:42
Shelley,
11:42
the
11:42
part
11:43
that
11:43
you
11:43
made
11:43
me
11:43
think
11:43
about,
11:43
cause
11:44
I
11:44
wasn't
11:44
gonna
11:44
talk
11:44
about
11:44
this
11:45
until
11:45
you
11:45
mentioned
11:45
it
11:45
was.
11:47
He
11:47
also
11:47
said
11:48
it
11:48
can
11:48
make
11:48
the
11:49
buyers
11:49
better
11:49
at
11:50
their
11:50
jobs,
11:50
it
11:50
can
11:51
make
11:51
them
11:51
better
11:51
negotiators,
11:52
better
11:52
planogram
11:53
designers,
11:53
better
11:54
product
11:55
designers.
11:55
And
11:56
that
11:57
was
11:57
really
11:57
interesting.
11:57
So
11:57
he
11:57
and
11:58
I
11:58
called
11:58
it
11:58
kind
11:58
of
11:58
the
11:59
productivity
11:59
plus.
12:00
So
12:00
there's
12:00
the
12:00
standard
12:01
day
12:01
to
12:01
day
12:01
productivity
12:02
of
12:02
all
12:02
the
12:02
jobs
12:02
people
12:03
don't
12:03
want
12:03
to
12:03
get
12:03
done.
12:04
But
12:04
then
12:04
there's
12:04
also
12:05
the
12:05
improvement
12:05
on
12:05
the
12:06
jobs,
12:06
which
12:06
is
12:06
interesting
12:07
when
12:07
you
12:07
said
12:07
like,
12:07
yeah,
12:07
we've
12:08
all
12:08
overbought
12:08
candles,
12:09
but
12:10
hey,
12:10
we
12:10
could
12:11
actually
12:11
stop
12:11
doing
12:12
that
12:12
in
12:12
the
12:12
long
12:12
run
12:12
if
12:13
we
12:13
think
12:13
about
12:13
deploying
12:13
this
12:14
the,
12:14
the
12:15
right
12:15
way.
12:15
So
12:16
then
12:16
the
12:16
next
12:16
thing
12:16
I'd
12:16
say
12:17
is
12:17
like,
12:17
you
12:17
know,
12:18
the
12:18
implications
12:19
to
12:19
me
12:19
are
12:19
this.
12:20
Shelly,
12:20
like
12:21
as
12:22
executives,
12:23
we.
12:23
I
12:23
want
12:24
to
12:24
get
12:24
your
12:24
thoughts
12:24
on
12:24
this
12:25
too.
12:25
As
12:25
executives,
12:26
we
12:26
are
12:26
not
12:27
going
12:27
to
12:27
just
12:27
be
12:27
managing
12:28
people
12:29
going
12:29
forward.
12:29
We're
12:29
going
12:29
to
12:29
be
12:30
managing
12:30
agents
12:31
and
12:31
how
12:31
we
12:32
manage
12:32
agents
12:32
and
12:33
who
12:33
knows
12:33
how
12:33
to
12:34
manage
12:34
agents
12:34
and
12:34
who
12:34
learns
12:35
how
12:35
to
12:35
manage
12:35
agents
12:36
is
12:36
going
12:37
to
12:37
be
12:37
what
12:37
separates
12:38
those
12:38
from
12:38
who
12:39
are
12:39
successful
12:39
in
12:39
the
12:39
long
12:40
run
12:40
versus
12:41
those
12:41
that
12:41
don't.
12:41
But
12:42
you
12:42
get
12:42
the
12:42
last
12:42
word
12:42
on
12:43
that
12:43
one.
12:44
I
12:45
couldn't
12:45
agree
12:45
more.
12:45
And
12:46
I
12:46
think
12:46
there's
12:46
going
12:46
to
12:46
be,
12:47
you
12:47
know,
12:47
and
12:47
we
12:48
can
12:48
talk
12:48
about
12:48
retail
12:48
leadership,
12:49
but
12:49
when
12:49
you
12:49
think
12:50
about
12:51
understanding
12:52
all
12:52
the
12:52
layers
12:53
of
12:53
a
12:53
retailer
12:54
and
12:54
the
12:54
systems
12:55
that
12:55
have
12:55
to
12:55
work
12:55
together,
12:56
that's
12:57
where
12:57
really
12:58
great
12:58
experience
12:59
comes
12:59
through
13:00
because
13:00
you
13:01
know
13:01
how
13:01
the
13:01
questions
13:02
to
13:02
ask
13:03
and
13:03
the
13:03
guidance
13:04
that
13:04
has
13:04
to
13:04
be
13:05
provided
13:05
not
13:05
only
13:05
to
13:06
the
13:06
people
13:06
but
13:06
the
13:06
system.
13:07
And
13:07
I
13:08
think
13:08
about
13:08
that
13:08
in
13:09
terms
13:09
of
13:09
how
13:09
you
13:09
lead
13:09
an
13:10
organization
13:10
and
13:11
actually
13:11
build
13:12
the
13:12
systems
13:12
required.
13:13
If
13:14
you
13:14
are
13:14
not
13:14
experienced
13:15
of
13:15
decades
13:16
working
13:16
across
13:17
every
13:17
aspect
13:17
of
13:18
the
13:18
business,
13:18
I
13:18
think
13:19
it
13:19
becomes
13:19
much
13:20
more
13:20
difficult
13:20
to
13:20
lead
13:21
a
13:21
retailer.
13:22
Right.
13:22
And
13:23
that's
13:23
another
13:23
great
13:24
point
13:24
too
13:24
because
13:24
the
13:24
other
13:24
thing
13:24
we
13:24
were
13:25
talking
13:25
about
13:25
today
13:25
a
13:25
lot
13:25
at
13:25
the
13:25
World
13:26
Retail
13:26
Congress
13:26
was
13:26
you
13:27
have
13:27
to
13:27
know
13:27
your
13:27
process.
13:28
Like
13:29
you
13:29
can
13:29
start
13:29
with
13:30
your
13:30
goal,
13:30
but
13:30
you
13:31
have
13:31
to
13:31
know
13:31
your
13:31
process
13:32
to
13:32
actually
13:33
do
13:33
this
13:33
the
13:33
right
13:34
way
13:34
as
13:34
well.
13:35
Shelley,
13:35
which
13:35
is
13:35
what
13:35
you're
13:36
talking
13:36
about.
13:36
And
13:36
so
13:37
that's
13:37
going
13:37
to
13:37
put
13:37
a
13:37
premium
13:38
on
13:38
everything
13:39
as
13:39
well.
13:39
Great
13:39
point.
13:40
Thank
13:40
you.
13:41
Really
13:41
exciting.
13:42
Headline
13:42
number
13:42
two
13:43
that
13:43
we're
13:43
covering
13:43
today
13:44
is
13:44
Best
13:44
Buy
13:45
CEO
13:45
Corey
13:46
Berry
13:46
is
13:46
stepping
13:46
down
13:47
after
13:47
seven
13:47
years
13:48
leading
13:48
the
13:48
consumer
13:49
electronics
13:49
retailer.
13:50
And
13:50
Jason
13:51
Bondfig,
13:51
currently
13:52
Best
13:52
Buy's
13:52
chief
13:53
customer,
13:53
product
13:54
and
13:54
Fulfillment
13:54
officer,
13:55
will
13:55
succeed
13:56
her
13:56
as
13:56
CEO
13:57
on
13:57
October
13:58
31,
13:59
2026.
14:00
Barry,
14:00
who
14:01
became
14:01
the
14:01
CEO
14:01
in
14:02
2019,
14:02
was
14:03
the
14:03
first
14:03
female
14:04
CEO
14:04
in
14:04
Best
14:04
Buy's
14:05
history.
14:06
She
14:06
guided
14:06
the
14:06
company
14:06
through
14:07
COVID
14:07
19,
14:08
record
14:08
high
14:08
inflation
14:09
and
14:09
the
14:09
impact
14:10
of
14:10
new
14:10
tariffs.
14:11
Best
14:11
Buy
14:12
Stock
14:12
fell
14:12
nearly
14:13
5%
14:14
on
14:14
the
14:14
news,
14:14
reflecting
14:15
ongoing
14:15
investor
14:16
concern
14:16
about
14:17
sluggish
14:17
comp
14:17
sales
14:18
across
14:18
the
14:18
company's
14:19
entertainment
14:20
and
14:20
appliance
14:21
segments.
14:22
Bonfig
14:22
a
14:23
27
14:23
year
14:23
best
14:24
buy
14:24
veteran
14:24
who
14:24
joined
14:25
the
14:25
company
14:25
as
14:25
an
14:25
inventory
14:26
analyst
14:26
in
14:27
1999,
14:28
the
14:28
same
14:28
year
14:29
as
14:29
Barry.
14:30
He
14:30
will
14:30
become
14:30
the
14:31
sixth
14:31
CEO
14:32
in
14:32
Best
14:32
Buy's
14:33
history.
14:33
In
14:33
his
14:34
current
14:34
role,
14:34
Bonfig
14:35
oversees
14:35
merchandising,
14:36
e
14:36
commerce
14:37
marketing
14:37
supply
14:37
chain
14:38
Best
14:38
Buy
14:38
Canada,
14:39
and
14:39
Best
14:39
Buy
14:39
Ads,
14:40
the
14:40
company's
14:41
retail
14:41
media
14:41
network.
14:42
Barry
14:43
will
14:43
stay
14:43
on
14:43
as
14:43
a
14:43
strategic
14:44
advisor
14:44
for
14:45
six
14:45
months
14:45
after
14:45
stepping
14:46
down.
14:46
The
14:47
board
14:47
noted
14:47
the
14:47
transition
14:48
timing
14:49
end
14:49
of
14:49
Q3
14:50
just
14:50
before
14:51
holiday
14:51
season
14:52
as
14:52
intentional
14:53
providing
14:53
bond
14:54
figure
14:54
Runway
14:54
to
14:55
lead
14:55
into
14:55
Best
14:55
Buy's
14:56
most
14:56
important
14:56
selling
14:57
period.
14:58
Chris,
14:58
do
14:59
you
14:59
think
14:59
Barry's
15:00
experience
15:00
at
15:00
Best
15:00
Buy
15:01
highlights
15:01
the
15:01
need
15:01
for
15:02
merchandising
15:02
or
15:03
store
15:03
ops
15:03
experience
15:04
in
15:04
the
15:04
chief
15:05
executive
15:05
role?
15:06
Oh,
15:07
wow.
15:07
I
15:08
can't
15:08
wait
15:08
to
15:08
hear
15:08
what
15:08
you
15:09
think
15:09
on
15:09
that
15:09
question.
15:10
I
15:11
think
15:11
it
15:11
goes
15:11
back
15:12
to
15:12
what
15:12
you,
15:13
I
15:13
think
15:13
what
15:14
you
15:14
said
15:14
on
15:14
the
15:14
first
15:14
headline.
15:15
I
15:15
think.
15:15
I
15:16
don't
15:16
know
15:16
if
15:16
it's
15:16
a
15:16
requirement,
15:18
but
15:18
I
15:18
think
15:18
it's
15:18
as
15:18
darn
15:19
close
15:19
to
15:19
one
15:20
as
15:20
you're
15:20
gonna
15:20
get,
15:20
especially
15:21
for
15:21
an
15:21
omnichannel
15:22
retailer
15:22
with
15:22
a
15:23
significant
15:23
store
15:24
base.
15:25
I
15:25
mean,
15:26
having
15:26
done
15:26
both
15:27
like
15:27
running
15:27
a
15:27
store
15:28
operation
15:28
and
15:29
being
15:29
a,
15:29
you
15:29
know,
15:29
a
15:30
merchant
15:30
for
15:30
a
15:30
long
15:30
time,
15:31
I
15:31
just
15:31
can't
15:31
imagine
15:32
learning
15:32
the
15:33
lifeblood
15:33
of
15:33
a
15:34
retail
15:34
organization
15:35
while
15:36
being
15:36
my
15:37
only.
15:37
While
15:38
my
15:38
only
15:38
job
15:38
experience
15:39
is
15:39
in
15:39
finance
15:40
or
15:40
HQ
15:40
operations.
15:41
There's
15:41
just
15:42
so
15:42
much
15:42
more
15:43
to
15:43
how
15:43
a
15:44
retail
15:44
operation
15:45
gets
15:45
done
15:45
at
15:45
the
15:46
end
15:46
of
15:46
the
15:46
day.
15:47
And
15:47
so
15:47
when
15:48
I
15:48
step
15:48
back
15:48
from
15:48
this
15:48
story,
15:49
Shelly,
15:49
I
15:49
think
15:49
it
15:49
also
15:49
tells
15:50
me
15:50
that
15:51
Best
15:51
Buys
15:51
board,
15:51
and
15:52
rightly
15:52
so,
15:52
and
15:53
possibly
15:53
even
15:53
Barry,
15:54
to
15:54
her
15:55
own
15:55
credit,
15:56
feels
15:56
the
15:57
same
15:57
way.
15:57
She
15:57
gave
15:58
it
15:58
a
15:58
good
15:58
run.
15:58
Let's
15:59
not,
15:59
let's
15:59
put
15:59
it
16:00
out
16:00
there.
16:00
She
16:00
gave
16:00
it
16:00
a
16:00
good
16:00
run.
16:01
She,
16:01
she
16:01
was
16:01
there
16:01
seven
16:02
years.
16:02
That's
16:02
a
16:02
long
16:02
time
16:03
in
16:03
the
16:03
life
16:03
of
16:03
a
16:03
CEO.
16:04
The
16:04
electronics
16:05
business
16:05
is
16:06
as
16:06
tough
16:06
as
16:06
they
16:07
come,
16:07
especially
16:08
given
16:08
the
16:08
decimation
16:09
of
16:09
things
16:09
like
16:10
music,
16:10
movies,
16:11
printing,
16:12
things
16:12
that,
16:12
you
16:12
know,
16:12
Best
16:13
Buy
16:13
used
16:13
to
16:13
stand
16:13
behind,
16:14
which
16:14
are
16:14
just
16:14
basically
16:15
businesses
16:15
that
16:15
don't
16:16
even
16:16
exist
16:16
anymore.
16:17
But
16:17
by
16:18
the
16:18
same
16:18
token,
16:19
some
16:19
of
16:19
the
16:20
moves,
16:20
some
16:21
of
16:21
the
16:21
moves
16:21
which
16:21
I've
16:21
questioned
16:22
on
16:22
this
16:22
show
16:22
pretty
16:22
overtly,
16:23
like,
16:23
like
16:24
they
16:24
bought
16:24
a
16:24
patio
16:25
furniture
16:25
company,
16:26
they're
16:26
putting
16:26
Ikea
16:27
into
16:27
their
16:27
stores.
16:28
Those
16:28
just
16:29
feel
16:29
really
16:29
odd
16:30
to
16:30
me.
16:30
And
16:30
so,
16:30
like,
16:30
I,
16:30
like,
16:31
I
16:31
just
16:31
step
16:31
back
16:31
and
16:31
go,
16:31
like,
16:32
like
16:32
Shelley,
16:32
would
16:32
you
16:32
ever
16:32
put
16:33
mattresses
16:33
in
16:33
a
16:33
Best
16:34
Buy
16:34
store?
16:34
I
16:34
mean,
16:35
who
16:35
knows
16:35
if
16:35
it
16:35
was
16:35
even
16:35
broached
16:36
you.
16:36
But
16:36
like,
16:36
that
16:37
just
16:37
seems
16:37
strange
16:37
to
16:38
me.
16:38
So.
16:38
Yes,
16:38
I
16:39
think,
16:39
I
16:39
think
16:39
it's
16:40
maybe
16:40
Not
16:40
a
16:40
requirement,
16:41
but
16:41
it,
16:42
it's.
16:42
It's
16:42
something
16:43
that
16:43
I
16:43
would
16:43
be
16:43
looking
16:44
very
16:44
hard
16:44
at
16:44
if
16:44
I
16:44
was
16:45
picking
16:45
a
16:45
next
16:45
CEO
16:46
for
16:46
a
16:46
retailer.
16:46
But
16:46
what
16:47
do
16:47
you
16:47
think?
16:47
I
16:47
mean,
16:47
I
16:48
do.
16:48
Yeah.
16:48
I
16:48
mean,
16:49
you've
16:49
got
16:49
the
16:49
experience.
16:49
I
16:50
mean,
16:50
what
16:50
do
16:50
you.
16:50
Do
16:50
you
16:50
agree
16:51
with
16:51
me
16:51
or
16:51
No,
16:51
I
16:52
do.
16:52
I
16:52
think
16:52
we
16:52
just
16:52
talked
16:53
about
16:53
this,
16:53
that
16:54
where
16:54
retail's
16:55
headed
16:56
and
16:56
what
16:57
has
16:57
to
16:57
happen,
16:57
especially
16:58
with
16:58
technology
16:59
and
16:59
where
16:59
the
16:59
consumer
17:00
is
17:00
moving,
17:01
I
17:01
think
17:01
this
17:01
is
17:01
an
17:02
example
17:02
of
17:02
Best
17:02
Buy
17:03
requiring
17:03
much
17:03
more
17:04
than
17:04
financial
17:04
engineering.
17:05
It's
17:05
going
17:06
to
17:06
require
17:06
somebody
17:07
coming
17:07
in
17:07
and
17:07
really
17:08
defining
17:08
the
17:08
core
17:09
strategy.
17:09
To
17:09
your
17:09
point
17:10
of
17:10
where
17:10
can
17:10
they
17:10
win?
17:11
And
17:11
I
17:11
think
17:11
the
17:12
Yardbird
17:12
acquisition
17:13
and
17:13
then
17:13
the
17:13
Ikea,
17:15
you
17:15
know,
17:15
stores
17:16
is
17:16
an
17:17
example
17:17
of
17:18
picking
17:18
adjacencies
17:19
where
17:20
Best
17:20
Buy
17:20
is
17:21
never
17:21
going
17:21
to
17:21
win.
17:22
You
17:22
have
17:22
low
17:23
Jim
17:23
Roy,
17:24
possibly
17:25
in
17:25
all
17:25
of
17:25
retail
17:26
with
17:26
patio
17:26
furniture
17:27
due
17:27
to
17:27
the
17:27
seasonality.
17:28
Then
17:28
you.
17:29
It
17:29
begs
17:30
the
17:30
question,
17:30
did
17:30
we
17:30
ever
17:31
need
17:31
another
17:32
retailer
17:33
selling
17:33
flat
17:33
pack
17:34
furniture
17:34
when
17:34
you
17:35
can
17:35
order
17:35
anything
17:35
on
17:36
Amazon
17:36
and
17:36
at
17:37
Wayfair?
17:38
So
17:38
when
17:38
I
17:38
actually
17:38
think
17:39
about
17:39
mattresses,
17:40
I
17:40
think
17:40
that's
17:41
sleep
17:42
technology
17:42
as
17:43
a
17:43
growth
17:43
category
17:44
globally
17:44
and
17:44
one
17:45
of
17:45
the
17:45
most
17:45
searched
17:47
terms
17:47
in
17:47
social
17:48
media.
17:48
You
17:49
could
17:49
actually
17:49
make
17:49
a
17:50
case
17:50
that
17:50
sleep
17:51
tech
17:52
and
17:52
companies
17:52
like
17:53
eight
17:53
Sleep
17:53
that
17:54
are
17:54
consumers
17:55
want
17:55
to
17:55
experience
17:55
in
17:56
stores.
17:56
And
17:56
getting
17:57
behind
17:57
a
17:57
growth
17:57
category
17:58
that
17:58
Best
17:58
Buy
17:59
can
17:59
actually
17:59
win
17:59
in
18:00
is
18:00
a
18:00
more
18:01
compelling
18:01
proposition
18:02
than
18:02
some
18:03
of
18:03
the
18:03
things
18:03
they've
18:03
tried
18:04
so
18:04
far.
18:04
But
18:04
I
18:04
think,
18:05
you
18:05
know,
18:05
those
18:06
are
18:06
going
18:06
to
18:06
be
18:06
some
18:06
of
18:06
the
18:06
questions
18:07
that
18:07
Jason
18:08
has
18:08
to
18:08
answer
18:08
as
18:09
he
18:09
thinks
18:09
about
18:09
the
18:09
future
18:10
strategy
18:10
of
18:10
Best
18:11
Buy
18:11
and
18:11
looking
18:12
at
18:12
where,
18:13
where
18:13
future
18:13
growth
18:13
exists
18:14
and
18:14
where
18:14
Best
18:15
Buy
18:15
can
18:15
actually
18:15
carve
18:16
out
18:16
a
18:16
place
18:16
where
18:16
they
18:16
can
18:17
win.
18:17
So
18:18
I
18:18
think
18:18
that
18:18
this
18:18
is
18:18
a
18:19
really
18:19
great
18:19
move
18:19
for
18:19
Best
18:20
Buy.
18:20
I
18:20
think
18:21
the
18:21
board
18:21
very
18:22
clearly
18:22
is
18:22
also
18:22
giving
18:23
Jason
18:23
no
18:23
time.
18:25
Holiday
18:25
season
18:26
is
18:26
going
18:26
to
18:26
be
18:26
a
18:26
defining
18:27
moment
18:27
for
18:27
him.
18:28
But
18:28
I
18:28
think
18:28
overall,
18:29
this
18:29
is
18:29
what
18:30
Best
18:30
Buy
18:30
needs
18:31
is,
18:31
you
18:31
know,
18:31
a
18:32
true
18:32
retail
18:32
operator
18:33
coming
18:33
in
18:33
and
18:33
helping
18:34
redefine
18:35
the
18:35
value
18:35
proposition
18:36
for
18:36
the
18:37
future
18:37
of
18:37
Best
18:37
Buy.
18:38
Yeah,
18:38
I
18:38
think
18:39
you've
18:39
nailed
18:39
it.
18:39
I
18:39
mean,
18:39
you've
18:40
nailed
18:40
it
18:40
on
18:40
the
18:40
show
18:40
already.
18:41
Like
18:41
your
18:41
point
18:41
about
18:42
the
18:42
future
18:42
of
18:43
retail
18:43
is
18:43
going
18:43
to
18:44
be
18:44
dependent
18:44
on
18:44
people
18:45
leading
18:45
it
18:45
that
18:45
really
18:46
understand
18:46
the
18:46
process
18:47
soup
18:47
to
18:47
nuts,
18:48
both
18:48
digitally
18:49
and
18:49
in
18:50
stores
18:50
in
18:50
terms
18:51
of
18:51
how
18:51
they
18:51
work
18:51
and
18:52
how
18:52
they
18:52
operate.
18:52
So,
18:53
yeah,
18:53
wow.
18:54
Yeah,
18:54
it's
18:54
getting
18:54
me
18:54
thinking
18:55
already,
18:55
Shelly.
18:55
All
18:55
right,
18:56
let's
18:56
keep
18:56
moving.
18:56
Headline
18:56
number
18:57
three,
18:57
Party
18:58
City
18:58
is
18:58
back,
18:59
but
18:59
not
18:59
the
18:59
way
18:59
you
19:00
remember
19:00
it.
19:00
Everybody.
19:01
After
19:01
filing
19:01
for
19:01
bankruptcy
19:02
for
19:02
the
19:02
second
19:03
time
19:03
in
19:03
2024
19:04
and
19:05
shuttering
19:05
nearly
19:05
all
19:06
of
19:06
its
19:06
locations.
19:06
Party
19:07
City
19:07
has
19:08
reopened
19:08
inside
19:08
more
19:09
than
19:09
700
19:09
Staples
19:10
stores
19:10
nationwide,
19:11
with
19:11
plans
19:12
to
19:12
expand
19:12
to
19:12
additional
19:13
Staples
19:13
locations
19:14
through
19:14
the
19:14
end
19:14
of
19:14
2026,
19:15
according
19:16
to
19:16
Chain
19:16
Storage.
19:17
The
19:17
partnership
19:17
announced
19:18
this
19:18
week
19:18
brings
19:18
Party
19:19
City's
19:19
balloons,
19:19
decor,
19:20
tablewear,
19:21
gift
19:21
bags
19:21
and
19:21
costume
19:22
accessories
19:23
inside
19:23
Staples
19:23
locations,
19:24
turning
19:24
Staples
19:25
into
19:25
a
19:25
one
19:25
stop
19:26
shop
19:26
for
19:26
celebration
19:27
and
19:28
printing
19:29
needs.
19:29
Customers
19:30
can
19:30
combine
19:31
Party
19:31
City
19:31
supplies
19:32
with
19:32
Staples
19:32
Print
19:33
Services,
19:33
creating
19:33
custom
19:34
banners,
19:34
yard
19:34
signs,
19:35
posters
19:35
and
19:36
personalized
19:36
invitations
19:37
all
19:37
in
19:37
one
19:37
visit.
19:38
I
19:38
think
19:38
this
19:38
is
19:38
the
19:38
first
19:38
time
19:39
the
19:39
word
19:39
yard
19:39
has
19:39
been
19:40
used
19:40
twice
19:40
in
19:40
two
19:41
headlines
19:41
in
19:41
the
19:41
history
19:41
of
19:41
the
19:41
Amitalk
19:42
retail
19:42
fast
19:42
five
19:43
balloon
19:44
pickups
19:44
will
19:44
soon
19:44
be
19:44
available
19:45
to
19:45
schedule
19:45
online
19:46
via
19:46
Staples.com
19:47
and
19:47
the
19:48
Staples
19:48
app
19:49
Shelley.
19:50
Party
19:51
City
19:51
had
19:51
700
19:52
standalone
19:52
stores
19:53
at
19:53
its
19:53
peak
19:53
before
19:54
it
19:54
went
19:54
bankrupt.
19:55
Now
19:55
it
19:55
has
19:55
700
19:56
locations
19:56
again,
19:57
but
19:57
this
19:57
time
19:57
they're
19:58
inside
19:58
of
19:58
Staples.
19:59
Is
19:59
this
19:59
a
19:59
genuine
20:00
second
20:00
act
20:01
for
20:01
a
20:01
beloved
20:01
brand
20:03
and
20:03
or
20:04
a
20:04
point
20:04
of
20:05
real
20:05
differentiation
20:06
for
20:06
Staples?
20:08
I
20:08
think
20:08
it's
20:09
neither.
20:09
Neither.
20:10
And
20:10
I'll
20:10
take
20:11
you
20:11
through.
20:11
I'll
20:11
take.
20:12
I
20:12
think
20:13
this
20:13
is
20:13
gonna
20:13
so
20:14
the,
20:14
the
20:14
growth
20:14
in
20:15
Party
20:15
is
20:15
coming
20:15
from
20:16
personalization.
20:16
So
20:17
I
20:17
don't
20:17
think
20:17
the
20:17
insight
20:18
there,
20:18
the
20:18
thesis
20:19
is
20:19
wrong.
20:20
I
20:20
do
20:20
think,
20:21
however,
20:21
this
20:21
is
20:21
going
20:21
to
20:21
come
20:22
down
20:22
to
20:22
execution
20:23
on
20:23
Staples
20:23
part.
20:24
So
20:24
when
20:24
we
20:24
talk
20:25
about
20:25
this,
20:25
they
20:26
have
20:26
to
20:26
bring
20:26
this
20:26
part
20:27
platform
20:27
together
20:28
which
20:28
is
20:28
going
20:28
to
20:28
require
20:29
not
20:29
only
20:30
your
20:30
digital
20:31
interface,
20:32
your
20:32
execution
20:32
in
20:33
stores,
20:33
what
20:34
customer
20:34
service
20:34
looks
20:35
like,
20:35
but
20:36
in
20:36
general
20:36
the
20:37
margin
20:37
is
20:37
in
20:38
the
20:38
balloon
20:38
business,
20:38
the
20:39
margin
20:39
is
20:39
in
20:40
the
20:40
personalization
20:40
business.
20:41
When
20:41
you
20:41
look
20:41
at
20:41
the
20:42
rest
20:42
of
20:42
the
20:42
business
20:42
for
20:42
Party
20:43
City,
20:43
you
20:44
have
20:44
low
20:45
retail
20:45
items
20:46
that
20:46
potentially
20:46
have
20:47
incredibly
20:47
low
20:47
velocity
20:48
due
20:48
to
20:49
Amazon
20:49
and
20:49
Walmart
20:50
outpacing
20:50
them
20:51
on
20:51
every
20:51
level,
20:51
including
20:52
beating
20:52
them
20:52
on
20:53
price.
20:53
So
20:54
anytime
20:54
you
20:54
combine
20:55
low
20:55
retail
20:56
categories
20:56
with
20:57
low
20:57
velocity,
20:58
it
20:58
destroys
20:59
your
20:59
ROI
21:00
in
21:00
the
21:00
business.
21:00
And
21:01
so
21:01
I
21:01
think
21:01
if
21:02
Staples
21:02
can't
21:03
pull
21:03
together
21:03
the
21:04
personalization
21:04
in
21:05
the
21:05
other
21:05
part
21:05
of
21:05
the
21:05
business,
21:05
this
21:06
makes
21:06
absolutely
21:06
no
21:07
sense.
21:07
It's
21:07
going
21:07
to
21:07
be
21:08
dilutive
21:08
to
21:09
their
21:09
business.
21:09
They're
21:09
not
21:09
going
21:10
to
21:10
be
21:10
a
21:10
destination.
21:11
And
21:12
I
21:12
think
21:12
there's
21:12
huge
21:13
risks
21:14
across
21:14
the
21:14
board
21:14
in
21:15
execution
21:15
training,
21:16
marketing
21:16
and
21:16
then
21:17
potentially
21:17
stagnant
21:18
inventory
21:18
for
21:18
not
21:18
turning
21:19
any
21:19
of
21:19
it.
21:19
So
21:19
this
21:20
is
21:20
a
21:20
big,
21:20
big
21:22
one
21:23
to
21:23
watch
21:23
I
21:23
guess,
21:24
because
21:24
it's
21:24
going
21:24
to
21:24
require
21:25
a
21:25
lot
21:25
to
21:25
be
21:25
successful
21:26
here.
21:26
Wow.
21:27
Shelley,
21:27
tell
21:27
us
21:27
how
21:28
you
21:28
really
21:28
feel.
21:28
I
21:28
love
21:29
it.
21:29
I
21:29
love
21:29
the
21:29
candor
21:30
on
21:30
this
21:30
one.
21:30
This
21:30
is
21:31
great.
21:31
This
21:31
is
21:31
great.
21:33
No,
21:33
I,
21:33
I
21:34
think
21:34
I
21:34
agree
21:34
with
21:34
you
21:34
though
21:35
because
21:35
like,
21:35
you
21:35
know,
21:35
we've
21:36
talked
21:36
about
21:36
it
21:36
a
21:36
lot.
21:36
Staples
21:37
Feels
21:37
like
21:37
it's
21:37
just
21:37
trying
21:38
to
21:38
be
21:38
like
21:38
the,
21:39
the
21:39
mall
21:39
for
21:39
all
21:40
the
21:40
junk
21:40
that
21:40
you
21:40
don't
21:41
want
21:41
to
21:41
do.
21:41
It's
21:41
becoming
21:42
like
21:42
the
21:42
swap
21:42
meet
21:43
for
21:43
like
21:43
retail
21:44
concepts
21:45
or
21:45
ideas.
21:45
And
21:46
so
21:46
they're
21:46
throwing
21:46
Party
21:46
City
21:47
in
21:47
there.
21:47
And
21:47
I,
21:47
I
21:48
guess
21:48
I
21:48
get
21:48
the
21:48
tie
21:48
ins
21:49
to
21:49
it
21:49
on
21:49
the
21:49
printing
21:50
side.
21:51
But
21:51
your
21:51
point
21:51
is,
21:51
right,
21:51
because
21:52
we've
21:52
talked
21:53
about
21:53
on
21:53
the
21:53
show
21:53
a
21:53
lot,
21:54
you
21:54
can't
21:54
just
21:54
build
21:54
it
21:55
and
21:55
they
21:55
will
21:55
come.
21:55
You
21:55
can't
21:56
take
21:56
an
21:56
Iowa
21:56
strategy
21:57
and
21:57
just
21:57
build
21:57
it
21:58
and
21:58
they
21:58
will
21:58
come.
21:58
It's
21:58
not
21:59
gonna
21:59
work
21:59
that
21:59
way.
22:00
You
22:00
have
22:01
to
22:01
spend
22:01
money,
22:01
you
22:02
have
22:02
to
22:02
invest
22:02
in
22:03
marketing
22:03
and
22:04
in
22:04
store
22:04
training
22:05
and
22:05
digital
22:05
product
22:06
development,
22:06
which
22:06
is
22:07
what
22:07
gets
22:07
you
22:07
all
22:08
the
22:08
personalization
22:09
aspects
22:09
of
22:09
what
22:10
you've
22:10
talked
22:10
about
22:11
in
22:11
order
22:11
to
22:11
make
22:11
this
22:12
work.
22:12
So,
22:13
yeah,
22:13
I'm
22:13
with
22:13
you.
22:14
I
22:14
just
22:14
think,
22:16
where's
22:16
the
22:16
ROI
22:16
in
22:17
that
22:17
in
22:17
the
22:17
long
22:17
run?
22:17
And
22:17
also,
22:18
Shelley,
22:18
you
22:18
brought
22:19
this
22:19
up
22:19
about,
22:19
you
22:19
know,
22:20
Amazon
22:20
and
22:20
the
22:20
other
22:21
competition
22:21
that's
22:21
out
22:21
there
22:21
in
22:22
that
22:22
space.
22:23
Like
22:23
it's
22:24
going
22:24
to
22:24
be
22:24
really
22:24
hard
22:25
to
22:25
keep
22:25
up
22:25
or
22:26
even
22:26
meet
22:26
the
22:26
level
22:27
that's
22:27
table
22:27
stakes
22:28
for
22:28
that
22:28
right
22:28
now,
22:29
given
22:29
the
22:30
amount
22:30
of
22:30
investment
22:30
you've
22:31
put
22:31
into
22:31
this
22:31
as
22:31
Staples
22:32
and
22:32
as
22:32
a
22:32
defunct
22:33
Party
22:33
City,
22:34
let
22:34
alone
22:34
in
22:35
the
22:35
long
22:35
run
22:35
too.
22:36
So,
22:36
like,
22:36
I
22:36
just,
22:37
yeah,
22:37
I
22:37
don't,
22:38
I
22:38
don't
22:38
see
22:38
this
22:38
bringing
22:39
a
22:39
lot
22:39
of
22:39
traffic
22:40
into
22:40
the
22:40
store.
22:40
I
22:41
feel
22:41
like
22:41
it's
22:41
going
22:41
to
22:41
be
22:41
more,
22:42
more
22:42
of
22:42
a
22:43
hamstringing
22:44
effort
22:44
in
22:44
the
22:44
long
22:45
run
22:45
too.
22:46
I
22:46
think
22:46
so,
22:46
too.
22:47
So
22:47
many
22:47
parts
22:48
of
22:48
the
22:48
party
22:48
business
22:48
are
22:49
highly
22:49
commoditized
22:49
and
22:50
that's
22:50
where
22:50
Amazon
22:51
and
22:51
Walmart
22:51
really
22:51
shine.
22:52
So
22:53
it'll
22:53
be
22:53
interesting
22:54
to
22:54
see
22:54
if
22:54
they
22:54
can
22:54
make
22:54
this
22:55
one
22:55
work.
22:55
Yeah,
22:56
well,
22:56
I
22:56
get,
22:56
But
22:56
I
22:56
guess,
22:57
you
22:57
know,
22:57
I
22:57
do
22:57
need
22:58
those
22:58
balloons
22:58
for
22:58
my
22:59
yard.
23:00
That's
23:01
where,
23:01
that's
23:01
where
23:02
it
23:02
could
23:02
be
23:02
interesting.
23:03
Right,
23:03
Right,
23:03
right.
23:04
Yeah,
23:04
the
23:04
graduation
23:05
yard
23:05
signs,
23:06
you
23:06
know,
23:06
like,
23:06
hey,
23:07
little
23:07
Johnny's
23:07
graduating
23:08
from
23:08
high
23:08
school
23:08
today.
23:09
Come
23:09
into
23:09
Staples
23:10
and
23:10
make
23:10
the
23:10
sign.
23:11
So,
23:11
yeah,
23:11
who
23:11
knows?
23:12
I
23:12
mean,
23:13
it's,
23:13
I
23:13
don't,
23:14
I
23:14
don't
23:14
hate
23:15
it
23:15
as
23:15
much
23:16
as,
23:16
as
23:18
I
23:18
don't,
23:18
I
23:18
don't
23:18
know,
23:18
I
23:18
don't
23:19
hate
23:19
it
23:19
that
23:19
much.
23:19
I
23:20
just
23:20
think
23:20
it's
23:20
going
23:20
to
23:20
be
23:20
really
23:21
hard
23:21
to
23:21
do.
23:21
Exactly.
23:22
I
23:22
agree.
23:23
We'll
23:23
keep
23:23
an
23:23
eye
23:23
on
23:24
it.
23:24
Moving
23:24
on
23:25
to
23:25
our
23:25
next
23:25
headline,
23:26
Dairy
23:26
Queen
23:27
is
23:27
expanding
23:27
its
23:28
voice
23:28
AI
23:29
pilot
23:29
at
23:29
the
23:29
drive
23:29
thru,
23:30
partnering
23:30
with
23:31
Presto
23:31
Phoenix
23:32
to
23:32
deploy
23:32
the
23:32
technology
23:33
beyond
23:33
its
23:33
corporate
23:34
test
23:34
stores
23:35
and
23:35
into
23:36
into
23:36
select
23:37
franchisee
23:38
locations
23:38
across
23:39
at
23:39
least
23:39
25
23:40
US
23:40
states
23:40
and
23:40
Canadian
23:41
provinces,
23:42
according
23:43
to
23:43
chain
23:43
store
23:44
age.
23:45
American
23:45
Dairy
23:46
Queen
23:46
Corporation
23:46
tested
23:47
Presto's
23:48
Voice
23:48
AI
23:48
at
23:49
company
23:49
owned
23:49
stores
23:50
where
23:50
it
23:50
improved
23:50
customer
23:51
satisfaction
23:52
scores
23:52
by
23:52
double
23:52
digit
23:53
percentages.
23:54
Presto
23:54
Phoenix
23:55
says
23:55
its
23:55
AI
23:56
system
23:56
can
23:56
accurately
23:57
process
23:57
about
23:58
90%
23:58
of
23:59
orders
23:59
at
23:59
the
23:59
drive
23:59
thru.
24:00
Kevin
24:01
Bartman,
24:01
EVP
24:02
of
24:02
IT
24:03
at
24:03
Dairy
24:03
Queen,
24:03
cited
24:04
improved
24:04
order
24:05
accuracy
24:05
and
24:05
the
24:06
ability
24:06
to
24:06
free
24:07
staff
24:07
for
24:08
high
24:08
value
24:08
tasks
24:09
as
24:09
key
24:10
outcomes
24:10
of
24:10
the
24:10
initial
24:11
tests.
24:12
Presto
24:13
CEO
24:13
Krishna
24:14
Gupta
24:14
said
24:14
the
24:15
goal
24:15
is
24:15
to
24:15
eventually
24:15
Deploy
24:16
across
24:16
all
24:17
3000
24:17
of
24:17
Dairy
24:18
Queen's
24:18
US
24:18
and
24:19
Canadian
24:19
drive
24:19
thrus.
24:20
Chris,
24:21
is
24:21
drive
24:22
thru
24:22
voice
24:23
AI
24:23
finally
24:24
ready
24:24
for
24:24
prime
24:24
time,
24:25
or
24:25
is
24:26
Dairy
24:26
Queen
24:26
in
24:26
danger
24:27
of
24:27
getting
24:27
too
24:27
far
24:28
in
24:28
front
24:28
of
24:28
the
24:29
hype?
24:30
Ooh,
24:30
ooh,
24:30
I
24:31
can't
24:31
wait
24:31
to
24:31
hear
24:31
what
24:31
you
24:32
have
24:32
to
24:32
say
24:32
about
24:32
this.
24:32
Like,
24:32
I
24:33
kind
24:33
of
24:33
knew
24:33
where
24:33
you're
24:33
going
24:33
to
24:34
go
24:34
on
24:34
the
24:34
first
24:34
three,
24:35
but
24:35
I
24:35
have
24:35
no
24:36
idea
24:36
what
24:36
you
24:36
think
24:36
about
24:36
this
24:37
one.
24:37
Well,
24:38
first
24:38
of
24:38
all,
24:39
confession,
24:39
Shelley.
24:40
I
24:40
have
24:41
this
24:41
at
24:42
my
24:42
local
24:42
Dairy
24:42
Queen.
24:43
It
24:43
is
24:43
in
24:43
operation
24:44
at
24:44
my
24:44
local
24:44
Dairy
24:45
Queen.
24:45
And
24:45
yes,
24:46
Omnitok
24:47
fans,
24:47
I
24:47
go
24:47
to
24:47
Dairy
24:47
Queen
24:48
every
24:48
Tuesday
24:49
after
24:49
I
24:49
take
24:50
my
24:50
son
24:50
to
24:50
his
24:50
drum
24:51
lesson
24:51
practice.
24:52
Yes,
24:52
it's
24:52
like
24:52
the
24:52
standard
24:53
place
24:53
that
24:53
we
24:53
go.
24:54
And
24:54
I
24:54
got
24:54
to
24:54
tell
24:55
you,
24:55
it
24:55
works
24:56
really,
24:57
really,
24:57
really
24:58
well.
24:58
And
24:58
I
24:59
personally
24:59
love
24:59
the
25:00
addition.
25:00
Now,
25:01
granted,
25:01
I'm
25:01
kind
25:01
of
25:01
a,
25:01
you
25:02
know,
25:02
I
25:02
kind
25:02
of
25:02
focus
25:02
on
25:03
this
25:03
stuff
25:03
for
25:03
a
25:03
living,
25:04
so
25:04
I'm
25:04
a
25:04
little,
25:04
probably
25:04
more,
25:05
you
25:05
know,
25:06
accepting
25:06
of
25:06
it
25:06
and
25:07
tolerant
25:07
of
25:07
it.
25:08
But
25:08
there's
25:09
a
25:09
number
25:09
of
25:09
things
25:09
I
25:09
like
25:10
about
25:10
it
25:10
a
25:10
lot.
25:10
Like,
25:11
first,
25:12
first,
25:12
you
25:12
can
25:12
hear
25:12
it
25:13
and
25:13
you
25:13
can
25:13
understand
25:14
it.
25:14
Like,
25:14
as
25:15
I'm
25:15
sitting
25:15
there
25:15
at
25:15
every
25:16
drive
25:16
thru,
25:16
I'm
25:16
always
25:16
reminded
25:17
of
25:17
the
25:17
old
25:17
Saturday
25:17
Night
25:17
Live
25:18
skit
25:18
where
25:18
they
25:18
do
25:19
the
25:19
subway
25:19
announcement
25:20
in
25:20
New
25:20
York
25:20
and
25:21
everyone's
25:21
standing
25:21
on
25:21
the
25:22
platform
25:22
and
25:22
they're
25:22
like,
25:22
what?
25:22
I
25:23
can't
25:23
hear
25:23
them.
25:23
And
25:23
they
25:23
go
25:24
inside
25:24
where
25:24
the
25:24
people
25:25
are
25:25
making
25:25
the
25:25
announcements
25:25
and
25:26
they
25:26
all
25:26
talk
25:26
to
25:26
each
25:26
other
25:26
like,
25:28
you
25:29
know,
25:29
and,
25:29
and
25:29
that's
25:29
because
25:30
that's
25:30
what
25:30
it's
25:30
like
25:30
when
25:30
you
25:30
go
25:31
to
25:31
a
25:31
drive
25:31
thru.
25:32
It's
25:32
hard
25:32
to
25:32
hear.
25:32
So,
25:33
like
25:33
that
25:33
that's
25:34
gone.
25:34
Like,
25:34
it
25:35
is
25:35
crisp,
25:36
clean,
25:37
very
25:37
well
25:37
done,
25:38
very
25:38
professional
25:38
sounding.
25:39
Second,
25:40
it
25:41
is
25:41
amazing
25:41
that
25:41
it
25:42
reacts
25:42
to
25:43
you
25:43
and
25:44
knows
25:44
to
25:44
ask
25:45
you
25:45
questions
25:45
about
25:46
things
25:46
to
25:46
make
25:47
sure
25:47
your
25:47
order
25:47
is
25:47
right,
25:48
which
25:48
is,
25:49
which
25:49
is
25:49
really
25:49
impressive
25:50
when
25:50
you
25:50
think
25:50
about
25:51
it.
25:51
You
25:51
have
25:51
to
25:51
be
25:51
a,
25:52
you
25:52
have
25:52
to
25:52
be
25:52
a
25:52
little
25:53
slow
25:53
to
25:54
like,
25:54
make
25:54
sure
25:55
that
25:55
it's
25:55
hearing
25:55
you
25:55
right
25:56
and
25:56
you
25:56
don't
25:56
want
25:56
to
25:56
speak
25:56
too
25:57
fast,
25:57
but
25:57
you
25:58
know
25:58
Once
25:58
you
25:58
just
25:58
let
25:59
it
25:59
do
25:59
its
25:59
thing,
26:00
it's
26:00
great.
26:01
And
26:01
the
26:01
first
26:01
few
26:02
times
26:02
I
26:02
went
26:02
through
26:02
the
26:02
other
26:03
thing
26:03
I'll
26:03
say
26:03
is
26:04
I
26:04
said
26:04
to
26:04
my
26:04
family,
26:05
I
26:05
was
26:05
like,
26:05
is
26:05
that
26:06
AI?
26:06
And
26:07
we
26:07
were,
26:07
we
26:08
weren't
26:08
really
26:08
sure.
26:09
We
26:09
weren't
26:09
really
26:09
sure.
26:10
And
26:10
now,
26:10
now
26:11
having
26:11
gone
26:11
through
26:11
it
26:12
enough,
26:12
I
26:12
know
26:12
that
26:12
it
26:13
is.
26:13
And
26:13
now
26:13
that
26:13
they're
26:14
doing
26:14
this,
26:14
it
26:14
100%
26:15
is.
26:15
But,
26:16
but
26:17
in
26:17
all
26:17
actuality,
26:17
the,
26:18
the,
26:18
the
26:18
bar
26:19
for
26:19
improvement
26:19
on
26:20
what
26:20
we're
26:20
talking
26:20
about
26:20
here
26:21
in
26:22
my
26:22
mind
26:22
is
26:22
so
26:23
low
26:23
that
26:24
I
26:25
think
26:25
this
26:25
will
26:25
make
26:26
it
26:26
better.
26:26
And
26:26
the
26:26
last
26:27
point
26:27
is,
26:28
and
26:28
this
26:28
could
26:29
just
26:29
be
26:29
a
26:30
sample
26:30
size
26:30
of
26:31
1,
26:31
but
26:32
the
26:32
service
26:34
at
26:34
the
26:34
Dairy
26:34
Queen
26:35
is
26:35
much
26:36
better.
26:36
I
26:37
pull
26:37
up
26:37
to
26:37
the
26:37
window,
26:38
the
26:38
service
26:38
is
26:38
better.
26:38
The
26:39
quality
26:39
of
26:39
the
26:39
food
26:39
is
26:40
better
26:40
too.
26:40
And
26:41
I
26:41
have
26:41
no
26:41
idea
26:41
if
26:41
that's
26:42
related,
26:42
but
26:42
I
26:42
have
26:42
to
26:42
think
26:43
it
26:43
helps
26:44
because
26:44
the
26:44
people
26:45
that
26:45
are
26:45
actually
26:45
working
26:46
there
26:46
can
26:46
focus
26:46
on
26:46
the
26:47
things
26:47
that,
26:47
that
26:48
make
26:48
service,
26:49
you
26:49
know,
26:49
that
26:50
bring
26:50
about
26:50
good
26:50
service
26:51
and
26:51
bring
26:51
about
26:51
good
26:51
quality
26:52
food
26:52
versus
26:53
having
26:53
to
26:53
haggle
26:54
and
26:54
order
26:54
with
26:54
people
26:55
that
26:55
have
26:55
pulled
26:55
their
26:55
cars
26:55
through
26:56
the
26:56
drive
26:56
through
26:56
with
26:56
16
26:57
kids
26:57
in
26:57
tow.
26:58
So
26:59
anyway,
26:59
that's
26:59
my
26:59
take,
26:59
Shelley,
27:00
but
27:00
I'm
27:01
dying
27:01
to
27:01
hear
27:01
what
27:02
you
27:02
think
27:02
about
27:02
this
27:02
one.
27:02
Are
27:03
you
27:03
in
27:03
on
27:03
this
27:03
or
27:04
no?
27:04
Oh
27:05
yeah.
27:05
I
27:05
think
27:05
this
27:05
is
27:06
a
27:06
perfect
27:06
application
27:07
for
27:07
AI
27:07
when
27:08
you,
27:08
when
27:08
we're
27:09
talking
27:09
about
27:09
customer
27:10
service
27:10
where
27:10
there's
27:10
a
27:11
finite
27:11
number
27:11
of
27:11
menu
27:12
items
27:12
and
27:12
a
27:12
finite
27:13
number
27:13
of
27:13
questions
27:14
that
27:14
could
27:14
potentially
27:14
be
27:14
asked
27:15
around
27:15
those
27:15
items
27:16
and
27:16
permutations
27:17
of
27:17
that.
27:17
And
27:18
we
27:18
have
27:18
to
27:18
remember
27:19
you
27:19
had
27:19
a
27:19
great
27:20
experience
27:20
and
27:20
this
27:21
is
27:21
the
27:21
worst
27:21
the
27:21
technology
27:22
is
27:22
ever
27:22
going
27:22
to
27:22
be.
27:23
Right.
27:24
So
27:24
this
27:25
is
27:25
a
27:25
perfect
27:25
application.
27:26
Customer
27:27
service
27:28
replacing
27:28
a
27:28
person,
27:29
freeing
27:29
up
27:29
staff
27:30
to
27:30
really
27:30
focus
27:30
on
27:31
the
27:31
face
27:31
to
27:31
face
27:31
interaction.
27:32
And
27:33
this
27:33
is
27:33
the
27:33
best
27:33
application
27:34
of
27:34
it
27:34
I've
27:34
seen
27:35
in
27:35
the
27:35
food
27:35
industry.
27:36
I
27:36
think
27:36
we
27:36
can
27:36
all
27:36
remember
27:37
was
27:37
it
27:37
like
27:37
last
27:37
year
27:38
or
27:38
two
27:38
years
27:38
ago
27:38
where
27:39
Chick
27:39
Fil
27:40
A
27:40
put
27:40
up
27:40
customer
27:41
service
27:41
screens
27:41
and
27:41
their
27:42
drive
27:42
thru
27:42
with
27:42
like
27:42
a
27:43
person
27:43
sitting
27:43
on
27:43
their
27:43
couch
27:44
remotely
27:44
taking
27:45
your
27:45
order
27:45
like
27:46
that
27:46
just
27:46
wasn't
27:46
a
27:47
great
27:47
experience
27:47
at
27:47
all.
27:48
So
27:48
I
27:48
think
27:48
this
27:48
is
27:48
a
27:49
retailer
27:49
or
27:50
you
27:50
know,
27:50
a
27:50
fast
27:51
food
27:51
retailer
27:51
doing
27:51
this
27:52
incredibly
27:52
well.
27:53
And
27:53
I
27:53
don't
27:53
think
27:54
that
27:54
they're
27:54
going
27:54
to
27:54
be
27:54
obviously
27:55
the
27:55
last.
27:56
Yeah,
27:56
and
27:57
it
27:57
seems
27:57
like
27:57
a
27:57
trend
27:58
too.
27:58
It
27:58
seems
27:58
like,
27:58
you
27:58
know,
27:59
we're
27:59
seeing
27:59
other,
28:00
even
28:00
this
28:00
week,
28:00
other
28:01
companies
28:01
jump
28:01
into
28:02
this
28:02
too
28:02
and
28:02
make
28:03
announcements
28:03
to
28:03
the
28:03
same
28:04
degree.
28:04
So
28:04
it
28:05
seems
28:05
like
28:05
there's
28:05
a
28:05
there,
28:06
there
28:06
and
28:06
we're
28:06
going
28:06
to
28:06
see
28:06
more
28:07
of
28:07
it.
28:07
And
28:07
you
28:07
know,
28:08
if
28:08
it
28:08
plays
28:08
out
28:08
like
28:09
this,
28:09
that's
28:09
a
28:09
great
28:10
point
28:10
too.
28:10
Like,
28:10
I
28:10
never
28:10
thought
28:11
about
28:11
that.
28:11
Yeah,
28:11
it's
28:11
the
28:12
best
28:12
the
28:12
technology
28:12
is
28:13
right
28:13
now,
28:13
but
28:13
it's
28:14
not
28:14
going
28:14
to
28:14
be
28:14
the
28:14
best
28:14
it
28:15
ever
28:15
is.
28:15
And
28:16
so
28:16
as
28:16
they
28:16
learn
28:17
to
28:17
do
28:17
this
28:17
across
28:17
more
28:18
retailers,
28:18
it's
28:18
going
28:18
to
28:18
be
28:18
interesting
28:19
to
28:19
watch.
28:19
Or
28:19
more
28:19
QSRs.
28:20
All
28:20
right,
28:21
last
28:21
one.
28:21
Shelly.
28:21
Shelly,
28:22
I
28:22
don't
28:22
know
28:22
if
28:22
we're
28:22
going
28:23
to
28:23
have
28:23
you
28:23
back.
28:23
We
28:23
might
28:23
need
28:23
to
28:24
disagree
28:24
more.
28:24
I
28:24
don't
28:25
know.
28:25
We're
28:25
pretty
28:25
aligned
28:26
on
28:26
this
28:26
show.
28:26
I
28:26
don't
28:27
know.
28:27
It's
28:27
not
28:27
in
28:27
the
28:28
ethos
28:28
of
28:28
the
28:28
OmniTalk
28:29
Fast
28:29
5,
28:29
but
28:29
hey,
28:30
that's
28:30
okay.
28:30
Sometimes
28:31
we
28:31
got
28:31
to
28:31
agree
28:31
too.
28:32
All
28:32
right,
28:32
headline
28:32
number
28:33
five.
28:33
Walmart
28:33
is
28:33
reportedly
28:34
piloting
28:34
a
28:35
program
28:35
that
28:36
will
28:36
use
28:36
its
28:36
own
28:36
retail
28:37
stores
28:37
as
28:37
fulfillment
28:38
hubs
28:38
for
28:38
third
28:39
party
28:39
marketplace
28:39
orders.
28:40
A
28:40
move
28:41
that
28:41
could
28:41
cut
28:41
delivery
28:42
times
28:42
from
28:42
the
28:42
current
28:42
one
28:43
to
28:43
two
28:43
days
28:44
down
28:44
to
28:44
as
28:44
little
28:45
as
28:45
three
28:45
hours,
28:46
according
28:47
to
28:47
coverage
28:47
from
28:47
the
28:47
Financial
28:48
Times.
28:48
And
28:48
Seeking
28:49
Alpha,
28:49
Walmart
28:50
is
28:50
running
28:50
the
28:50
pilot
28:51
at
28:51
several
28:51
stores
28:51
in
28:52
Dallas.
28:52
No
28:52
surprise,
28:53
a
28:53
market
28:53
the
28:53
company
28:54
has
28:54
historically
28:54
used
28:55
as
28:55
a
28:55
test
28:55
bed
28:56
for
28:56
new
28:56
technology.
28:57
And
28:57
Manish
28:58
Juneja,
28:58
a
28:58
former
28:59
Omnitok
28:59
guest
28:59
and
29:00
SVP
29:00
of
29:00
Walmart's
29:01
US
29:01
Marketplace
29:01
and
29:02
Walmart
29:02
Fulfillment
29:03
Services,
29:03
confirmed
29:04
the
29:04
test
29:04
to
29:04
the
29:05
Financial
29:05
Times.
29:06
Walmart
29:06
is
29:06
also
29:06
reportedly
29:07
using
29:07
AI
29:08
to
29:08
help
29:08
determine
29:08
which
29:09
store
29:09
should
29:09
carry
29:09
which
29:10
marketplace
29:10
items
29:11
for
29:11
optimal
29:12
fulfillment.
29:13
The
29:13
effort
29:13
is
29:14
also
29:14
being
29:14
framed
29:15
as
29:15
a
29:15
direct
29:15
challenge
29:16
to
29:16
Amazon,
29:16
which
29:16
offers
29:17
third
29:17
party
29:17
sellers
29:18
same
29:18
day
29:18
delivery
29:19
through
29:19
its
29:20
own
29:20
fulfillment
29:21
services.
29:22
Shelley
29:22
Walmart
29:23
has
29:23
4,600
29:24
stores
29:24
within
29:24
10%
29:25
of
29:25
90%
29:26
of
29:26
the
29:26
U.S.
29:26
population.
29:27
If
29:27
it
29:28
can
29:28
turn
29:28
those
29:28
stores
29:28
into
29:29
same
29:29
day
29:29
fulfillment
29:30
centers
29:30
for
29:30
marketplace
29:31
sellers,
29:32
how
29:32
big
29:32
a
29:33
deal
29:33
is
29:33
it
29:34
and
29:34
what
29:34
does
29:34
it
29:35
actually
29:35
mean
29:35
for
29:35
Amazon?
29:36
Well,
29:36
here's
29:37
where
29:37
we
29:37
might
29:37
disagree.
29:38
I
29:38
have
29:38
a
29:38
lot
29:38
of
29:38
questions.
29:39
Yeah,
29:39
I
29:39
have
29:39
a
29:39
lot
29:39
of
29:40
questions
29:40
about
29:40
this
29:40
one
29:41
because
29:41
there
29:41
are
29:41
a
29:41
lot
29:41
of
29:42
practical
29:42
limitations.
29:44
So
29:44
we're,
29:45
let's
29:45
talk
29:46
about
29:46
Amazon
29:46
first.
29:47
So
29:47
Amazon
29:47
has
29:48
huge,
29:49
large
29:49
distribution
29:50
centers
29:51
in
29:52
a
29:52
lot
29:52
of
29:52
metros
29:53
across
29:53
the
29:53
United
29:54
States.
29:54
In
29:55
Phoenix,
29:55
for
29:55
example,
29:56
where
29:56
I
29:56
spend
29:56
a
29:56
lot
29:56
of
29:56
time,
29:57
I
29:57
can
29:57
get
29:58
the
29:58
majority
29:58
of
29:58
the
29:58
items
29:59
I
29:59
order
29:59
from
29:59
Amazon,
30:00
whether
30:00
they're
30:00
marketplace
30:01
or
30:01
first
30:01
party,
30:02
within
30:02
a
30:02
number
30:02
of
30:02
hours.
30:04
And
30:04
so
30:04
if
30:04
Walmart
30:05
does
30:05
this
30:05
in
30:06
my
30:06
geography,
30:07
it
30:08
probably
30:08
isn't
30:09
going
30:09
to
30:09
be
30:09
the
30:09
thing
30:09
that
30:09
causes
30:10
me
30:10
to
30:10
switch.
30:11
And
30:12
because
30:12
of
30:13
the
30:13
limitations
30:13
of
30:14
space
30:14
in
30:14
their
30:14
Walmart
30:15
stores,
30:15
they're
30:15
probably
30:16
still
30:16
not
30:17
going
30:17
to
30:17
have
30:17
the
30:17
breadth
30:17
of
30:18
items
30:18
that
30:18
Amazon
30:19
has.
30:20
And
30:20
so
30:20
there's
30:21
a
30:21
lot
30:21
of
30:21
practical
30:21
Limitations
30:22
here.
30:22
However,
30:23
when
30:23
you
30:23
look
30:24
across
30:24
the
30:24
US
30:25
broadly,
30:25
it
30:26
could
30:26
make
30:26
sense
30:26
to
30:26
folks
30:27
that
30:27
are
30:27
not
30:27
in
30:28
a
30:29
close
30:29
proximity
30:29
to
30:30
a
30:30
large
30:30
Amazon
30:30
warehouse,
30:31
where
30:31
then
30:32
Walmart
30:32
potentially
30:33
could
30:33
beat
30:33
the
30:33
delivery
30:34
times
30:34
of
30:34
Amazon.
30:35
The
30:35
question
30:36
you
30:36
have
30:36
there
30:36
is
30:36
when
30:37
Amazon's
30:37
the
30:37
number
30:38
one
30:38
most
30:38
trusted
30:39
retailer
30:39
to
30:39
get
30:39
things
30:39
to
30:40
you
30:40
on
30:40
time,
30:41
is
30:41
that
30:41
enough
30:41
to
30:42
cause
30:42
somebody
30:42
to
30:42
switch?
30:43
That's
30:44
the
30:44
question.
30:44
If
30:45
it's
30:45
a
30:45
couple
30:45
hours
30:46
sooner.
30:46
And
30:47
then
30:47
there's
30:47
the
30:47
practical
30:48
question
30:48
of
30:48
how
30:48
many
30:49
of
30:49
these
30:49
marketplace
30:50
items
30:51
can
30:51
you
30:52
actually
30:53
warehouse
30:54
within
30:54
a
30:54
store?
30:55
And
30:55
what
30:55
does
30:55
this
30:56
inventory
30:56
orchestration
30:57
look
30:58
like
30:58
in
30:58
a
30:58
store?
30:58
Or
30:59
where
30:59
does,
30:59
you
31:00
know,
31:00
I've
31:00
been
31:00
in
31:00
many
31:00
Walmart
31:01
back
31:01
rooms
31:01
in
31:02
my
31:02
day.
31:03
Where
31:03
does
31:04
the
31:04
Walmart
31:05
item
31:05
live?
31:05
How
31:06
is
31:06
it
31:06
allocated?
31:07
Like
31:07
how
31:08
fast
31:08
does
31:08
it
31:09
turn?
31:09
How
31:09
does
31:09
that
31:09
compare
31:10
to
31:10
all
31:10
your
31:10
other
31:10
items
31:11
that
31:11
you
31:11
have
31:11
in
31:11
a
31:11
Walmart
31:12
store?
31:12
So
31:13
while
31:13
I
31:13
think
31:13
this
31:13
test
31:14
is
31:14
interesting
31:14
to
31:14
watch,
31:15
do
31:16
I
31:16
think
31:16
it
31:16
goes
31:16
head
31:17
to
31:17
head
31:17
with
31:17
Amazon
31:18
still?
31:18
No.
31:20
Do
31:20
I
31:20
think
31:20
it
31:20
has
31:21
huge
31:21
implications
31:21
for
31:22
Amazon
31:23
as
31:23
a
31:23
company,
31:23
broadly
31:24
as
31:24
a
31:24
tech
31:25
company?
31:26
No.
31:27
So
31:27
I'm
31:27
going
31:28
to,
31:28
I
31:28
think
31:29
it's
31:29
a
31:29
wait
31:29
and
31:29
see.
31:30
I
31:30
think
31:30
it's
31:30
worth
31:31
testing
31:31
and
31:31
worth
31:32
seeing
31:32
how
31:32
consumers
31:33
respond
31:33
to
31:33
this
31:34
and
31:34
whether
31:34
you
31:34
can
31:34
get
31:34
the
31:35
right
31:35
items
31:35
and
31:36
be
31:36
predictive
31:36
about
31:37
that.
31:38
But
31:38
what's
31:38
interesting
31:39
to
31:39
me
31:39
is
31:39
it
31:39
still
31:40
doesn't
31:40
solve
31:40
the
31:40
larger
31:41
delivery
31:41
problem
31:41
for
31:42
Walmart
31:42
getting
31:43
closer
31:43
to
31:43
that
31:43
10%
31:44
in
31:44
big
31:44
cities
31:44
they're
31:45
still
31:45
not
31:45
servicing.
31:46
So
31:47
it's
31:47
interesting
31:47
the
31:48
focus
31:48
on
31:48
this
31:48
versus
31:49
like
31:49
there's
31:49
this
31:50
big
31:50
population
31:50
of
31:50
people
31:51
that
31:51
still
31:51
isn't
31:51
being
31:52
served
31:52
by
31:52
a
31:52
Walmart.
31:53
So
31:53
that's
31:53
my
31:53
perspective.
31:54
That's
31:54
a
31:55
really
31:55
interesting
31:55
point
31:55
too
31:55
because
31:56
that,
31:56
to
31:56
your
31:56
point,
31:56
like
31:57
Amazon's
31:57
definitely
31:57
going
31:58
after
31:58
those,
31:58
which
31:58
is
31:59
hence
31:59
the
31:59
Phoenix,
31:59
you
31:59
know,
32:00
metro
32:00
area
32:00
that
32:00
you're
32:00
talking
32:01
about
32:01
too.
32:01
You
32:02
know,
32:02
even
32:02
though
32:02
Walmart
32:02
can
32:02
reach
32:03
that.
32:03
But
32:03
you
32:03
know,
32:03
as
32:03
you
32:04
get
32:04
into
32:04
even
32:04
more
32:05
dense
32:05
geographies
32:06
too,
32:07
like
32:07
a.
32:07
San
32:07
Francisco
32:08
or
32:08
like
32:09
a
32:09
New
32:09
York
32:09
or
32:09
these,
32:10
where
32:10
the
32:10
10%
32:10
is
32:11
that
32:11
like,
32:11
you
32:12
know,
32:12
that
32:12
isn't
32:12
buy
32:12
at
32:12
Walmart.
32:13
Yeah,
32:13
right.
32:14
And
32:14
you're
32:14
right
32:14
too
32:14
because
32:15
you
32:16
know,
32:16
the
32:16
way
32:16
Amazon
32:16
is
32:17
going
32:17
to
32:17
approach,
32:17
there's
32:17
going
32:17
to
32:17
be
32:17
more
32:18
breadth
32:18
in
32:18
terms
32:18
of
32:18
the
32:18
inventory
32:19
that
32:19
they're
32:19
probably
32:20
housing
32:20
in
32:20
those
32:20
locations
32:21
at
32:21
least,
32:22
you
32:22
know,
32:22
from
32:22
what
32:22
we
32:22
know
32:23
from
32:23
this
32:23
announcement,
32:24
you
32:24
know,
32:24
you
32:24
know,
32:25
you
32:25
know,
32:25
in
32:25
terms
32:25
of
32:25
what
32:26
Walmart
32:26
can
32:26
house
32:27
inside,
32:27
you
32:28
know,
32:28
the
32:28
back
32:28
rooms
32:29
of
32:29
their
32:29
stores.
32:30
That's
32:30
interesting.
32:31
I'm
32:31
not
32:31
surprised
32:32
to
32:32
hear
32:32
you
32:32
kind
32:33
of
32:33
muted
32:33
on
32:33
this
32:33
one.
32:34
I.
32:35
But
32:35
I
32:36
think
32:36
I
32:36
still
32:36
think,
32:37
I
32:38
think
32:38
I
32:38
really
32:38
like
32:39
this
32:39
move,
32:39
Shelly.
32:40
I
32:40
think
32:40
I
32:40
do
32:40
it.
32:40
So
32:40
I
32:41
want
32:41
you
32:41
to
32:41
talk
32:41
me
32:41
through
32:41
it
32:41
and
32:42
tell
32:42
me
32:42
what
32:42
I
32:42
got
32:42
right
32:43
and
32:43
what
32:43
I
32:43
get
32:43
wrong
32:43
here
32:43
from
32:44
your
32:44
opinion.
32:44
But,
32:46
you
32:46
know,
32:46
I
32:46
think
32:46
when
32:46
you
32:47
think
32:47
about.
32:47
So
32:47
from
32:47
the
32:47
inventory
32:48
question,
32:48
right,
32:49
Walmart's,
32:49
Walmart's
32:50
gonna
32:51
take
32:51
the
32:51
items
32:51
it
32:51
knows
32:52
it
32:52
can
32:52
bank
32:52
on
32:52
from
32:52
its
32:52
marketplace.
32:53
That's
32:53
what
32:53
it's
32:53
going
32:54
to
32:54
put
32:54
in
32:54
here,
32:54
right?
32:55
And
32:55
Walmart's
32:55
thinking,
32:56
I
32:56
think
32:56
they're
32:56
thinking
32:56
about
32:57
this
32:57
like
32:57
as
32:57
a
32:57
Walmart
32:57
plus
32:58
play
32:58
to
32:58
like
32:58
the
32:59
app
32:59
play.
32:59
Like,
32:59
how
32:59
do
33:00
I
33:00
get
33:00
more
33:00
people
33:00
in
33:01
my
33:01
ecosystem?
33:02
How
33:02
do
33:02
I
33:02
get
33:02
people
33:03
shopping
33:03
for
33:03
groceries
33:04
and
33:04
shopping
33:04
for
33:05
everything
33:05
they
33:05
need
33:06
from
33:06
me?
33:06
So
33:06
I
33:07
think
33:07
that's
33:07
a
33:07
key,
33:07
you
33:08
know,
33:08
a
33:08
key
33:08
piece
33:09
of
33:09
it
33:09
here.
33:10
And
33:10
they're
33:10
going
33:10
to
33:10
offer.
33:11
The
33:11
other
33:11
cool
33:11
thing
33:12
about
33:12
it
33:12
is
33:12
too,
33:12
they
33:12
can
33:13
offer
33:13
the
33:13
warehousing
33:14
for
33:14
those
33:14
bankable
33:15
items
33:15
via
33:16
Walmart
33:16
fulfillment
33:17
services
33:17
to
33:18
their
33:18
suppliers,
33:19
which
33:19
is
33:19
something
33:20
that
33:21
Amazon
33:21
cannot
33:22
offer.
33:22
Like,
33:23
that
33:23
just
33:23
does
33:23
not
33:24
come
33:24
as
33:24
part
33:24
of
33:24
their
33:25
fulfillment
33:25
services
33:25
where,
33:26
hey,
33:26
yeah,
33:26
you
33:26
can
33:27
be
33:27
close
33:27
to
33:27
90%
33:28
of
33:28
the
33:28
country
33:29
with
33:29
your
33:30
items.
33:30
So
33:31
that's
33:32
interesting
33:32
to
33:32
me
33:32
as
33:32
a
33:32
hook
33:33
to
33:33
the
33:33
supplier
33:33
community.
33:35
And
33:35
then
33:35
from
33:35
a
33:35
consumer
33:36
perspective,
33:37
I
33:37
also
33:37
think
33:37
it's
33:38
a
33:38
smart
33:38
test
33:38
because
33:39
consumers
33:40
don't
33:40
know
33:40
where
33:40
things
33:40
ship
33:41
from
33:41
or
33:41
which
33:42
items
33:42
ship
33:42
from
33:42
where.
33:43
At
33:43
the
33:43
end
33:43
of
33:43
the
33:43
day,
33:43
this
33:43
is
33:44
just
33:44
a
33:44
search
33:44
game.
33:44
So
33:45
like,
33:45
you
33:45
know,
33:46
having
33:46
to
33:46
be
33:46
right
33:47
on
33:47
what
33:47
inventory
33:47
you
33:48
actually
33:48
put
33:48
in
33:48
the
33:48
back
33:48
room,
33:49
the
33:49
premium
33:49
on
33:50
that
33:50
is
33:50
probably
33:50
less
33:51
than
33:51
I
33:51
think
33:51
we
33:52
want
33:52
to
33:52
think
33:52
it
33:52
is
33:53
because
33:53
either
33:54
you're
33:54
going
33:54
to
33:54
have
33:54
it
33:54
or
33:54
you're
33:54
not.
33:55
And
33:55
I'm
33:55
not
33:55
going
33:55
to
33:55
know
33:56
that
33:56
on
33:56
one
33:56
day
33:56
you
33:57
could
33:57
get
33:57
it
33:57
to
33:57
me
33:57
in
33:57
three
33:57
days
33:58
and
33:58
another
33:58
day
33:58
you
33:58
could
33:59
get
33:59
it
33:59
to
33:59
me,
33:59
you
33:59
know,
34:00
you
34:00
know,
34:00
in
34:01
three
34:01
hours.
34:01
Another
34:02
day
34:02
it
34:02
might
34:02
get
34:02
me
34:02
same
34:02
day
34:03
or
34:03
even
34:03
in
34:03
two
34:03
days.
34:03
Like,
34:04
I
34:04
just
34:04
don't
34:04
think
34:04
consumers
34:05
know
34:05
that.
34:06
But
34:06
so
34:06
as
34:06
long
34:06
as
34:06
Walmart
34:07
can,
34:07
can
34:07
put
34:08
the
34:08
right
34:08
items
34:09
in
34:09
the
34:09
store
34:09
in
34:10
a
34:10
way
34:10
that's
34:10
credible
34:11
and
34:11
they
34:11
can
34:11
do
34:11
it
34:12
at
34:12
a
34:12
mass
34:13
where
34:13
it
34:13
moves
34:13
the
34:14
needle.
34:15
You
34:15
know,
34:15
I
34:15
think
34:16
it's
34:16
important,
34:16
particularly
34:17
for
34:17
the
34:17
marketplace.
34:17
So
34:18
I,
34:18
I
34:19
don't
34:19
know
34:19
it
34:19
at
34:19
the
34:20
end
34:20
of
34:20
the
34:20
day
34:20
too.
34:20
I
34:21
mean,
34:21
it
34:21
means
34:22
more
34:22
sales,
34:23
it
34:23
means
34:23
more
34:24
a
34:24
more
34:24
reason
34:25
to
34:25
shop
34:25
at
34:25
Walmart
34:26
because
34:26
you
34:26
can
34:26
get
34:27
things
34:27
that
34:27
quickly,
34:28
especially
34:28
when
34:28
you
34:28
look
34:28
at,
34:29
not
34:29
just
34:29
Amazon,
34:29
all
34:30
the
34:30
competitive
34:30
dynamics
34:31
out
34:31
there,
34:31
like
34:31
a
34:31
Target
34:32
or
34:32
whatnot
34:32
too.
34:33
And
34:33
that
34:33
just
34:33
means
34:34
more
34:34
retail
34:35
media
34:35
dollars
34:35
too.
34:35
Because
34:36
the
34:36
more
34:36
marketplace
34:36
items
34:37
you're
34:37
putting
34:37
front
34:37
and
34:38
center
34:38
in
34:38
ways
34:39
that
34:39
people
34:39
want
34:39
to
34:40
buy
34:40
them
34:40
or
34:40
get
34:40
them
34:40
delivered,
34:41
that's
34:42
more
34:42
profit,
34:42
too,
34:42
the
34:43
way
34:43
this
34:43
works,
34:43
the
34:43
way
34:44
the
34:44
engine
34:44
works.
34:44
So.
34:45
So
34:45
I
34:45
don't
34:45
know.
34:46
What.
34:46
What
34:46
do
34:46
you.
34:46
What
34:46
do
34:47
you
34:47
think
34:47
I
34:47
missed?
34:47
What
34:47
do
34:47
you
34:47
think
34:47
I
34:48
got
34:48
right?
34:48
What
34:48
do
34:48
you
34:48
think
34:48
I
34:48
got
34:49
wrong
34:49
there?
34:49
Shelley,
34:51
I
34:51
don't
34:51
disagree
34:52
on
34:52
the
34:52
media
34:53
dollar
34:53
piece
34:54
and
34:54
the
34:55
potential.
34:56
It's
34:56
exciting
34:56
to
34:57
think
34:57
about
34:57
the
34:57
potential
34:58
of.
34:58
Could
34:58
Walmart
34:59
actually
34:59
change
35:00
the
35:00
unit
35:00
economics
35:01
of
35:02
marketplace
35:02
more
35:03
broadly
35:03
in
35:03
the
35:03
United
35:03
States?
35:04
However,
35:05
I
35:06
go
35:06
back
35:06
to.
35:06
It's
35:07
a
35:07
good
35:07
point.
35:07
Still
35:08
going
35:08
to
35:08
be
35:08
the
35:08
tip
35:08
of
35:08
the
35:08
spear.
35:09
Yep.
35:10
And
35:10
it's
35:10
still
35:10
going
35:10
to
35:11
be
35:11
narrow.
35:12
And
35:12
maybe
35:13
if
35:13
the
35:13
experiment
35:14
goes
35:14
well,
35:14
they'll
35:15
change
35:15
the
35:15
fact
35:15
that
35:16
it's
35:16
narrow
35:17
in
35:17
tip
35:17
of
35:17
the
35:17
spear.
35:18
But
35:18
in
35:18
order
35:19
to
35:19
make
35:19
an
35:19
impact
35:20
at
35:21
that
35:21
big
35:21
of
35:21
a
35:21
scale
35:22
on
35:22
revenue,
35:23
you
35:23
have
35:24
to
35:24
tip
35:24
that
35:24
needle
35:25
so
35:25
far.
35:26
And
35:26
my
35:26
big
35:26
question
35:27
is,
35:27
is
35:27
it
35:27
enough
35:29
to,
35:29
like,
35:29
actually
35:30
make
35:30
an
35:30
impact
35:31
at
35:31
a
35:31
scale
35:31
that
35:32
large?
35:34
So
35:34
it's
35:34
a
35:34
wait
35:35
and
35:35
see.
35:36
Yeah,
35:36
that's
35:36
really.
35:36
I
35:37
think
35:37
you
35:37
just
35:37
flipped
35:37
me,
35:37
too.
35:38
I
35:38
think
35:38
you
35:38
flipped
35:38
me
35:39
on
35:39
this
35:39
conversation
35:39
because.
35:40
Yeah,
35:40
that.
35:40
I
35:40
mean,
35:41
and
35:41
it's
35:41
a
35:41
big.
35:41
It's
35:42
not
35:42
easy
35:42
to
35:42
pull
35:42
this
35:43
off
35:43
logistically
35:43
too.
35:44
Right.
35:44
And
35:45
so
35:45
then
35:45
the
35:45
juice
35:46
has
35:46
got
35:46
to
35:46
be
35:46
worth
35:46
the
35:46
squeeze.
35:47
That's
35:47
what
35:47
I'm
35:47
hearing
35:47
you
35:47
say
35:48
as
35:48
well.
35:49
Absolutely.
35:50
But
35:50
that's
35:50
why
35:51
it's
35:51
a
35:51
test.
35:51
And
35:52
so
35:52
they're
35:52
going
35:52
to
35:52
learn
35:53
something
35:53
from
35:53
it
35:53
that
35:53
might
35:54
end
35:54
up
35:54
being
35:54
a
35:54
multibillion
35:55
dollar
35:55
game
35:55
changer.
35:56
We
35:56
don't
35:56
know,
35:56
so.
35:57
Right,
35:57
right.
35:58
Yeah.
35:58
And
35:58
we
35:58
don't
35:58
know.
35:58
We
35:59
don't
35:59
know
35:59
the
35:59
size
35:59
and
35:59
scale
36:00
of
36:00
some
36:00
of
36:00
these
36:00
marketplace
36:00
items
36:01
that
36:01
Walmart
36:01
doesn't
36:02
traditionally
36:02
carry
36:02
either,
36:03
you
36:03
know,
36:03
and
36:03
how
36:04
well
36:04
rounded
36:04
out,
36:05
how
36:05
well
36:05
they
36:05
round
36:06
out
36:06
the
36:06
assortment,
36:06
too,
36:06
I
36:07
guess,
36:07
is
36:07
another
36:07
point
36:07
I
36:07
hadn't
36:08
thought
36:08
about
36:08
before.
36:09
Wow,
36:09
this
36:09
is.
36:09
This
36:10
is
36:10
great.
36:10
All
36:11
right,
36:11
Shelly,
36:11
let's
36:11
go
36:11
to
36:12
the
36:12
lightning
36:12
round.
36:12
First
36:13
question,
36:13
since
36:13
I'm
36:14
currently
36:14
in
36:14
Berlin,
36:16
explain
36:16
what
36:16
you
36:16
think
36:17
a
36:17
CurryWurst
36:17
is
36:18
in
36:18
five
36:18
words
36:18
or
36:19
less.
36:19
And
36:19
you
36:19
cannot
36:19
Google
36:20
this
36:20
live
36:21
time
36:21
or
36:21
chatgpt
36:22
or
36:22
whatever.
36:23
Okay,
36:23
a
36:23
curry
36:24
worst.
36:24
I'm
36:24
literally
36:25
gonna
36:25
break
36:25
it
36:25
down.
36:26
Yep.
36:27
Probably
36:28
a
36:28
sausage
36:29
with
36:30
a
36:30
curry
36:30
adjacency.
36:31
A
36:32
curry
36:32
adjacency.
36:33
Oh,
36:33
my
36:33
God.
36:33
Spoken
36:34
like
36:34
a
36:34
true
36:34
merchant.
36:35
And
36:35
by
36:35
curry
36:35
adjacency,
36:36
you
36:36
mean
36:36
like
36:36
a
36:36
curry
36:37
sauce?
36:38
Maybe,
36:39
Maybe,
36:40
maybe.
36:41
All
36:41
right,
36:41
there's
36:42
curry
36:42
involved.
36:43
What
36:43
is
36:43
it
36:43
really
36:44
Now?
36:44
You
36:44
can
36:44
tell
36:44
me.
36:44
Yeah,
36:45
no,
36:45
you
36:45
nailed
36:45
it.
36:45
You
36:45
nailed
36:46
it.
36:46
It's
36:46
sausage
36:47
covered
36:48
and
36:48
smothered
36:48
in
36:48
curry.
36:49
Typically,
36:50
it
36:50
seems
36:50
like
36:51
it's
36:51
a
36:51
ketchup
36:51
based
36:51
curry
36:52
because
36:52
I
36:52
had
36:52
it
36:52
and
36:52
I
36:52
asked
36:52
some
36:53
friends
36:53
who
36:53
tried
36:53
it
36:54
too
36:54
this
36:54
week
36:54
and
36:55
sometimes
36:55
has
36:55
curry
36:56
powder
36:56
dusted
36:56
on
36:56
it.
36:57
Sounds
36:57
like
36:57
you
36:57
get
36:57
served
36:58
with
36:58
chips,
36:58
too,
36:58
or
36:59
French
36:59
fries
36:59
too.
36:59
Shelly.
37:00
That's
37:00
the
37:00
other
37:00
thing.
37:01
Ketchup
37:01
based
37:02
curry.
37:02
That's
37:02
a
37:02
new
37:03
one.
37:03
It's
37:03
a
37:03
very
37:03
tomato
37:04
based
37:04
curry.
37:05
Very
37:05
tomato
37:05
based
37:06
curry.
37:06
Yeah.
37:06
Not.
37:07
Maybe
37:07
ketchup
37:07
based
37:08
is
37:08
not
37:08
the
37:08
right
37:08
word.
37:08
People
37:09
probably
37:09
take
37:09
offense
37:09
to
37:09
that,
37:09
but.
37:10
But
37:10
it's
37:10
a
37:10
very
37:11
tomato
37:11
based
37:12
curry.
37:12
Yes.
37:13
I'm
37:13
not
37:14
enticed
37:14
to
37:14
try
37:14
it,
37:14
but
37:15
I
37:15
hope
37:15
you
37:15
do,
37:16
though.
37:16
I
37:16
got.
37:16
I
37:17
got
37:17
recommended
37:17
from
37:18
some
37:18
Brits
37:19
last
37:19
week
37:19
and
37:20
I
37:20
told
37:20
some
37:20
people
37:20
and
37:20
they're
37:21
like,
37:21
you
37:21
took.
37:22
You
37:22
took
37:22
eating
37:22
advice
37:23
from
37:23
British
37:23
people.
37:24
What
37:24
are
37:24
you
37:24
doing?
37:24
But
37:25
hey,
37:25
hey,
37:26
gotta
37:26
love
37:26
my
37:26
Brits.
37:27
Yeah,
37:27
there
37:28
you
37:28
go.
37:29
Okay,
37:30
so
37:30
your
37:30
question
37:30
is,
37:31
Chris,
37:31
being
37:32
another
37:32
Arizona,
37:33
a
37:33
fellow
37:33
Arizonan,
37:34
what
37:34
is
37:34
the
37:34
first
37:35
place
37:35
you
37:35
go
37:36
to
37:36
eat
37:36
and
37:36
when
37:36
you
37:37
land
37:37
in
37:37
Arizona?
37:38
Oh,
37:38
my
37:39
God.
37:40
Oh,
37:40
wow.
37:41
That's.
37:41
Wow.
37:42
God.
37:43
So
37:43
back
37:43
in
37:44
college,
37:44
I
37:44
used
37:44
to
37:44
go
37:45
to
37:45
native
37:45
New
37:45
Yorker
37:46
and
37:46
this
37:47
place
37:47
called
37:47
Pranksters
37:48
for
37:48
the
37:48
wings
37:48
down
37:48
in
37:49
Tempe
37:50
for
37:50
the
37:50
Buffalo
37:50
wings.
37:51
They
37:51
had
37:51
great
37:51
Buffalo
37:51
wings.
37:51
But
37:52
those
37:52
I
37:52
think
37:52
are
37:52
gone
37:53
now.
37:54
So
37:54
now
37:55
I'd
37:55
probably
37:55
either
37:55
say
37:56
TC
37:56
Eggington's,
37:57
which
37:57
is
37:57
like
37:57
a
37:57
brunch
37:57
place,
37:58
or
37:59
Venezia's,
38:00
the
38:00
pizza
38:00
place.
38:01
Jeff
38:01
Venetia's
38:02
in
38:02
Tucson.
38:03
No,
38:04
no,
38:04
Venezia's,
38:05
for
38:05
those
38:05
listening,
38:05
is
38:06
the
38:06
pizza
38:06
place
38:07
in
38:07
Breaking
38:07
Bad
38:07
when
38:08
he
38:08
throws
38:08
the
38:08
pizza
38:08
on
38:08
the
38:09
roof.
38:09
They
38:09
have
38:09
it
38:09
in
38:10
Albuquerque
38:10
and
38:11
in.
38:11
In
38:11
the
38:11
Phoenix
38:12
area,
38:12
too.
38:12
So,
38:13
yeah,
38:13
that's
38:13
what
38:13
I'd
38:14
say.
38:14
That
38:14
pizza
38:14
is
38:14
really
38:15
good,
38:15
Shelly.
38:16
I'll
38:16
have
38:16
to
38:16
try
38:16
it.
38:17
Yeah.
38:17
All
38:17
right.
38:18
Back
38:18
in
38:18
the
38:18
day,
38:20
as
38:20
a
38:21
Wildcat
38:21
alum,
38:23
who
38:23
is
38:23
the
38:23
greatest
38:24
Wildcat
38:24
in
38:25
the
38:25
history
38:25
of
38:25
Arizona
38:26
basketball?
38:26
And
38:27
Shelley,
38:27
there
38:27
is
38:27
a
38:27
right
38:27
answer
38:28
to
38:28
this
38:28
question.
38:28
So
38:28
I'm.
38:29
Well,
38:29
there's
38:30
absolutely
38:31
one
38:31
answer
38:32
is
38:32
how
38:32
I
38:33
think
38:33
about
38:33
this,
38:34
and
38:34
it's
38:34
Steve
38:35
Kerr
38:35
before
38:36
now
38:36
and
38:36
always
38:37
Steve.
38:37
I
38:38
grew
38:38
up
38:38
watching
38:38
Steve
38:39
play
38:39
Arizona
38:39
basketball
38:40
as
38:40
a
38:40
kid.
38:40
I
38:41
obviously
38:41
live
38:42
in
38:42
the
38:42
Bay
38:42
Area
38:43
for
38:43
a
38:43
long
38:43
time
38:44
and
38:44
love
38:45
watching
38:45
him
38:45
coach
38:46
Golden
38:46
State
38:46
State.
38:47
Tremendous
38:48
guy,
38:48
tremendous
38:49
character.
38:50
But
38:50
I
38:50
will
38:50
add
38:51
Sean
38:51
Elliott
38:52
a
38:52
distance
38:53
second,
38:54
so
38:54
I
38:54
will.
38:54
I.
38:55
And
38:55
Sean's
38:55
a
38:56
Tucson
38:56
guy,
38:56
too,
38:56
so.
38:57
So
38:58
I've
38:58
got
38:58
some
38:58
love
38:58
for
38:58
Sean
38:59
Elliott,
38:59
but
38:59
Steve
39:00
Kerr,
39:00
by
39:00
a
39:00
large.
39:01
Margin,
39:01
I'm
39:02
surprised
39:02
he
39:02
didn't
39:02
represent
39:03
Tucson
39:03
as
39:03
the
39:03
Hometown
39:04
with
39:04
Sean
39:04
Elliott.
39:04
You
39:04
went
39:05
with
39:05
Steve
39:05
Kerr
39:05
by
39:05
a
39:05
wide
39:06
margin.
39:07
Wow.
39:08
Okay.
39:09
Okay.
39:09
Wow.
39:10
All
39:10
right.
39:11
I
39:11
guess.
39:13
So,
39:13
Chris,
39:13
over
39:13
to
39:13
you.
39:14
Are
39:14
you
39:14
trusting
39:15
AI
39:15
more
39:15
to
39:16
manage
39:16
your
39:16
shopping
39:17
list
39:17
or
39:17
your
39:17
calendar?
39:19
Oh,
39:19
my
39:19
God.
39:21
Yeah.
39:21
You
39:22
know,
39:22
I've
39:22
never
39:22
been
39:22
able
39:22
to
39:22
get
39:22
in
39:23
those
39:23
calendly
39:23
tools
39:24
and
39:24
stuff.
39:24
Like,
39:24
they
39:24
just,
39:24
I
39:25
just
39:25
can't
39:25
get
39:25
those
39:25
to
39:25
work
39:25
for
39:26
me.
39:26
I'm
39:26
definitely
39:27
not
39:27
using
39:27
it
39:27
to
39:27
manage
39:27
my
39:28
shopping
39:28
list
39:28
either.
39:29
But
39:29
I
39:30
think
39:30
if
39:30
I
39:30
had
39:30
to
39:30
put
39:31
a
39:31
gun
39:31
on
39:31
my
39:31
head
39:31
and
39:31
decide
39:32
which
39:32
one,
39:32
I
39:32
think
39:32
I'd
39:33
say
39:33
my
39:34
calendar
39:34
because,
39:34
like,
39:35
you
39:35
know,
39:35
I
39:35
get
39:35
a
39:35
little
39:35
weirded
39:36
out
39:36
by
39:36
agentic
39:37
payments
39:38
and
39:38
it
39:38
seems
39:38
like
39:38
a
39:38
lot
39:39
of
39:39
folks
39:39
here
39:39
at
39:39
the
39:39
World
39:40
Retail
39:40
Congress
39:40
are
39:40
too.
39:41
Like,
39:41
people
39:41
are
39:41
saying,
39:41
like,
39:42
literally
39:43
I
39:43
had
39:43
somebody
39:44
on
39:44
stage
39:44
say
39:44
I
39:44
would
39:45
not
39:45
be
39:45
investing
39:45
in
39:46
payment
39:48
integrations
39:49
and
39:49
tie
39:50
ins,
39:50
but
39:50
what
39:51
about
39:51
you?
39:51
I
39:51
don't
39:51
know,
39:51
Shelly.
39:52
What
39:52
would
39:52
you
39:52
do?
39:53
So
39:53
I
39:53
heard
39:53
a
39:53
new
39:54
use
39:54
case
39:54
last
39:54
night
39:55
that
39:55
I'm
39:55
going
39:55
to
39:55
try.
39:56
So
39:57
this
39:57
week
39:57
I
39:57
had
39:58
to
39:58
pack
39:58
for
39:58
Miami
39:59
for
39:59
four
39:59
days,
39:59
Chicago
40:00
for
40:00
four
40:00
days,
40:00
and
40:01
Kentucky
40:01
for
40:01
four
40:01
days.
40:02
And
40:02
I
40:02
did
40:02
it
40:02
myself.
40:03
And
40:03
I
40:04
heard
40:04
of
40:04
another
40:05
executive
40:06
that
40:06
I'm
40:06
close
40:06
to,
40:07
used
40:07
an
40:08
agent
40:08
to
40:08
put
40:09
her
40:09
packing
40:09
list
40:09
together
40:10
and
40:10
gave
40:10
it
40:10
the
40:10
dimensions
40:11
of
40:11
her
40:11
luggage
40:11
and
40:12
it
40:12
did
40:12
the
40:12
whole
40:12
thing.
40:12
She
40:13
offered
40:13
like
40:13
a
40:13
couple
40:14
pictures
40:14
of
40:14
her
40:14
outfits,
40:15
the
40:15
style
40:16
she
40:16
wanted
40:16
to
40:16
go
40:17
with
40:17
where
40:17
she
40:17
was
40:17
traveling,
40:18
and
40:18
it
40:18
recommended
40:18
her
40:19
entire
40:19
packing
40:19
list
40:20
that
40:20
would
40:20
fit
40:20
in
40:20
her
40:20
luggage.
40:21
So
40:21
I
40:22
will
40:22
be
40:22
back
40:22
to
40:22
talk
40:23
about
40:23
how
40:23
that
40:23
works
40:23
out
40:23
for
40:23
me,
40:24
but
40:24
I
40:24
wish
40:24
I
40:24
would
40:24
have
40:24
done
40:25
it
40:25
for
40:25
this
40:25
trip.
40:25
Oh,
40:25
my
40:26
God.
40:26
Oh,
40:26
my
40:26
God.
40:26
Wow.
40:27
Wow.
40:27
Yeah.
40:27
Cause
40:27
you're
40:28
on
40:28
your
40:28
way
40:28
to
40:28
the
40:28
Kentucky
40:28
Derby,
40:29
right?
40:30
I
40:30
am
40:30
on
40:30
my
40:30
way
40:30
to
40:31
the
40:31
Kentucky
40:31
Derby,
40:31
like
40:32
hours
40:32
away.
40:32
Right.
40:33
Tomorrow
40:34
I
40:34
leave
40:34
for.
40:34
Yeah.
40:35
Wow.
40:36
Wow.
40:37
So,
40:37
so
40:37
excited.
40:38
Yeah.
40:38
And
40:38
I,
40:38
I,
40:38
yeah.
40:39
God,
40:39
so
40:39
much
40:40
fun.
40:40
That,
40:40
that
40:40
is
40:40
such
40:41
a
40:41
blast.
40:41
That's
40:41
a,
40:41
that's
40:42
a
40:42
bucket
40:42
list
40:42
trip.
40:42
I'm
40:43
gonna
40:43
take
40:43
your
40:43
recommendation
40:44
and
40:44
just
40:45
have
40:45
fun.
40:45
Which
40:46
is
40:46
what
40:46
you
40:46
said.
40:47
Yeah,
40:47
for
40:47
sure,
40:47
for
40:48
sure.
40:48
And
40:48
Gamble
40:49
too,
40:49
I
40:49
think,
40:49
was
40:49
my
40:49
other
40:50
recommendation.
40:50
Right.
40:51
Yeah.
40:51
Put
40:52
some
40:52
money
40:52
on
40:52
the
40:52
horses.
40:53
Definitely
40:53
pick
40:54
the
40:54
horse
40:54
and.
40:54
Okay.
40:55
So
40:55
have
40:55
fun
40:55
and
40:55
pick
40:56
the
40:56
winning
40:56
horse.
40:56
Got
40:56
it.
40:57
That's
40:57
right.
40:57
Right.
40:57
Yeah.
40:58
Right?
40:58
Pick
40:58
the
40:58
winning
40:58
horse.
40:59
Yeah.
40:59
Don't
41:00
we
41:00
wish
41:00
we
41:00
all
41:00
could
41:00
do
41:00
that?
41:01
All
41:01
right,
41:01
Ella,
41:02
come
41:02
on
41:02
in
41:02
here.
41:02
Which,
41:03
which
41:04
headline
41:04
won
41:04
the
41:04
show
41:05
for
41:05
you?
41:05
I'm
41:05
not
41:05
even
41:05
a
41:06
guest
41:06
this
41:06
week
41:06
because
41:06
I'm
41:07
so
41:07
jet
41:07
lagged
41:08
that
41:08
I
41:08
probably
41:08
wouldn't
41:09
even
41:09
make
41:09
sense
41:09
of
41:09
what
41:09
I'm
41:10
trying
41:10
to
41:10
say,
41:10
but
41:10
what
41:11
I'm
41:11
curious.
41:11
I
41:11
have
41:12
no
41:12
idea.
41:12
Anyway,
41:12
which
41:13
way
41:13
you
41:13
lean
41:13
this
41:14
week?
41:14
Yeah.
41:15
Well,
41:15
first
41:15
of
41:15
all,
41:15
you
41:16
two
41:16
together
41:16
are
41:16
a
41:16
powerhouse.
41:17
Like
41:17
you
41:17
dove
41:18
straight
41:18
into
41:18
the
41:19
headlines
41:19
and
41:19
you
41:19
made
41:19
me
41:20
very
41:20
confused.
41:20
I
41:20
thought
41:20
I
41:21
had
41:21
my
41:21
answer
41:21
and
41:22
now
41:22
I'm
41:22
just,
41:23
I'm
41:23
so
41:23
confused
41:23
on
41:24
what
41:24
I
41:24
want
41:24
to
41:24
pick,
41:24
but
41:25
the
41:25
Conversation
41:26
winner
41:27
for
41:27
this
41:27
week
41:27
is
41:28
Party
41:28
City
41:28
Comeback.
41:29
Okay,
41:30
why?
41:30
Why?
41:30
What
41:31
was
41:31
that?
41:31
What
41:31
was
41:31
so
41:31
interesting
41:32
about
41:32
that
41:32
for
41:32
you?
41:33
Well,
41:33
I
41:33
was
41:33
not
41:33
expecting
41:34
the
41:34
conversation
41:34
to
41:35
go
41:35
the
41:35
way
41:35
it
41:36
did
41:36
because
41:36
that
41:37
was
41:37
my
41:37
initial
41:37
answer
41:38
was
41:38
like,
41:38
let's
41:38
go.
41:39
Party
41:39
City's
41:40
back.
41:40
I'm
41:40
so
41:40
excited
41:42
so
41:42
to
41:42
hear
41:43
kind
41:43
of
41:43
the
41:43
inside
41:44
scoop
41:44
on,
41:45
you
41:45
know,
41:45
the
41:45
company
41:46
side.
41:47
Makes
41:47
total
41:47
sense
41:47
what
41:48
you
41:48
guys
41:48
were
41:48
saying.
41:48
But
41:48
from
41:49
someone
41:49
who
41:49
just
41:50
recently
41:50
put
41:50
on
41:50
a
41:51
bridal
41:51
shower
41:52
and
41:52
I
41:52
needed
41:53
all
41:53
those
41:53
last
41:53
minute
41:54
tablecloths.
41:54
We
41:54
forgot
41:55
so
41:55
many
41:55
things.
41:56
There
41:57
was
41:57
not
41:57
a
41:58
one
41:58
stop
41:58
shop
41:59
that
41:59
had
41:59
the
42:00
good
42:00
quality
42:01
things
42:01
that
42:01
I
42:01
needed
42:02
for
42:02
this
42:02
party.
42:02
And
42:03
so
42:03
we
42:03
were
42:03
jumping
42:03
around
42:03
from
42:04
Walmart
42:04
to
42:04
Dollar
42:04
General.
42:05
Dollar
42:05
General
42:06
didn't
42:06
open
42:06
till
42:06
9.
42:07
This
42:07
party
42:07
was
42:07
at
42:07
10.
42:08
Like,
42:08
we
42:09
were
42:09
chaotic.
42:10
It
42:10
was.
42:11
I
42:11
wish
42:11
I
42:11
had
42:11
my
42:12
Party
42:12
City
42:12
in
42:12
that
42:13
moment.
42:13
Well,
42:13
Ella,
42:14
did
42:14
you
42:14
agentic
42:14
AI
42:15
it
42:15
or
42:15
not?
42:16
Not
42:16
even
42:16
agent.
42:17
But
42:17
did
42:17
you
42:17
generative
42:17
AI
42:18
it?
42:18
Did
42:18
you
42:18
ask
42:18
for
42:18
help
42:19
from
42:19
ChatGPT
42:20
a
42:20
lot,
42:20
what
42:20
Shelly
42:21
said
42:21
for
42:22
her
42:22
upcoming
42:22
trip,
42:22
or
42:23
no.
42:23
Or
42:23
do
42:23
you
42:23
forget
42:23
about
42:24
that?
42:24
The
42:24
night
42:24
before,
42:25
we
42:25
were
42:25
trying
42:25
to
42:26
set
42:26
up
42:26
the
42:26
tables
42:26
and
42:26
chairs
42:27
and
42:27
I
42:27
did
42:27
take
42:27
a
42:28
photo
42:28
and
42:28
say,
42:28
please
42:29
rearrange
42:29
this
42:29
room
42:30
for
42:30
me
42:30
and
42:30
set
42:30
this
42:31
up.
42:31
However,
42:32
it
42:32
was
42:32
all
42:33
messed
42:33
up.
42:33
It
42:33
didn't
42:33
work
42:33
out
42:34
the
42:34
way
42:34
I
42:34
wanted.
42:34
It
42:34
had
42:35
the
42:35
dimensions
42:35
all
42:35
wrong.
42:36
So.
42:36
Okay.
42:37
But
42:37
yeah,
42:37
you
42:37
could
42:37
see,
42:37
you
42:37
could
42:38
see
42:38
the
42:38
use
42:38
case
42:38
of
42:38
being
42:38
like,
42:38
hey,
42:39
I
42:39
really
42:39
need
42:39
all
42:39
this
42:40
stuff
42:40
in
42:40
like
42:40
two
42:41
hours.
42:41
Go
42:41
source
42:42
it
42:42
for
42:42
me,
42:43
get
42:43
it
42:43
for
42:44
me.
42:44
Versus
42:44
having
42:44
to
42:44
search
42:45
through
42:45
all
42:45
those
42:45
sites
42:46
too,
42:46
in
42:46
the
42:46
use
42:46
case
42:47
that
42:47
you
42:47
talked
42:47
about.
42:48
Oh,
42:48
yeah,
42:48
for
42:49
sure.
42:49
Yeah.
42:49
And
42:49
I
42:50
agree
42:50
with
42:50
you,
42:50
Chris,
42:50
though
42:51
I
42:51
don't
42:51
think
42:51
I'm.
42:51
I'm
42:52
there
42:52
to
42:52
trust
42:53
them
42:53
to
42:53
use
42:54
my
42:54
card
42:54
and
42:54
pay
42:54
for
42:54
it
42:55
though.
42:55
Yeah,
42:55
yeah.
42:55
Shelley,
42:56
where
42:56
do
42:56
you
42:56
come
42:56
down
42:56
on
42:56
that?
42:56
The
42:57
whole,
42:57
like,
42:57
you
42:57
know,
42:57
you
42:58
know,
42:59
using
42:59
agents
42:59
to
43:00
pay
43:00
for
43:00
you
43:00
as
43:00
well.
43:01
I'm,
43:01
I
43:02
tend
43:02
to
43:02
try
43:03
everything,
43:03
so.
43:04
Yeah,
43:05
yeah,
43:05
you
43:06
know,
43:06
I.
43:06
As
43:06
long
43:06
as
43:07
it's,
43:07
you
43:07
know,
43:08
the
43:08
data
43:08
security
43:09
is
43:09
there,
43:09
I,
43:09
I
43:10
mean,
43:10
that's
43:11
where
43:11
we're
43:11
headed,
43:11
right?
43:12
Especially
43:12
if
43:12
you're
43:12
storing
43:13
your
43:13
card
43:13
with
43:14
a
43:14
retailer
43:14
that's
43:15
using
43:15
AI
43:16
to,
43:17
you
43:17
know,
43:19
order
43:19
things
43:19
for
43:19
you
43:19
on
43:20
a
43:20
regular
43:20
basis
43:21
or
43:21
Amazon
43:22
subscription
43:22
does
43:23
this
43:23
for
43:23
us
43:23
already.
43:24
So
43:24
it's
43:24
just
43:24
another
43:25
format
43:26
that's
43:26
doing
43:26
that
43:27
for
43:27
us.
43:27
So
43:27
I
43:27
don't
43:28
necessarily
43:29
have
43:29
an
43:29
issue.
43:29
Yeah,
43:30
I
43:30
guess
43:30
we
43:30
all
43:30
kind
43:31
of
43:31
do
43:31
it
43:31
in
43:31
a
43:31
lot
43:31
of
43:31
ways.
43:31
It's
43:32
just
43:32
like
43:32
in
43:32
what
43:32
interface
43:33
are
43:33
we
43:33
ready
43:33
and
43:34
willing
43:34
to
43:34
do
43:34
it?
43:35
Yeah.
43:35
I
43:35
had
43:35
no
43:36
idea
43:36
you
43:36
were
43:36
such
43:37
a
43:37
technophile
43:38
too,
43:38
coming
43:39
into
43:39
this
43:39
show.
43:39
I
43:40
think
43:40
that's
43:40
the
43:40
right
43:40
word.
43:40
Not
43:41
technophobe.
43:41
Right?
43:41
Technophile.
43:42
Yeah,
43:42
I
43:43
think
43:43
that's
43:43
the
43:43
right
43:43
word.
43:43
Word.
43:44
That's
43:44
great,
43:45
man.
43:45
This
43:45
has
43:45
been
43:46
so
43:46
much
43:46
fun.
43:47
Well,
43:48
Shelley,
43:48
any
43:48
last
43:48
words
43:49
before
43:49
we
43:49
sign
43:50
off
43:50
here?
43:51
No,
43:51
it's
43:51
been
43:52
great
43:52
chatting
43:53
with
43:53
both
43:53
of
43:53
you
43:53
and
43:54
yeah,
43:54
excited
43:55
to
43:55
see
43:55
how
43:55
some
43:56
of
43:56
these
43:56
headlines
43:56
evolve
43:57
over
43:57
the
43:57
next
43:57
few
43:57
months.
43:57
So
43:58
thanks
43:58
for
43:58
having
43:58
me
43:58
on
43:58
the
43:59
show.
43:59
Yeah,
43:59
no
44:00
doubt.
44:00
There
44:00
were
44:00
a
44:00
lot
44:00
of
44:00
headlines
44:01
to
44:01
revisit
44:02
here
44:02
in
44:02
like,
44:02
you
44:03
know,
44:03
the
44:03
six
44:03
month
44:04
time
44:04
frame,
44:04
so.
44:04
And
44:05
I
44:05
imagine
44:05
a
44:05
lot
44:06
of
44:06
them
44:06
will
44:06
be
44:06
revisited
44:07
through
44:08
different
44:08
commentary
44:09
that
44:09
the
44:09
media
44:09
has
44:09
as
44:10
well
44:10
as
44:10
the
44:10
companies
44:10
themselves
44:11
had
44:11
and
44:11
have
44:11
in
44:12
terms
44:12
of
44:12
how
44:12
they're.
44:12
They're
44:13
playing
44:13
out.
44:13
So.
44:14
All
44:14
right,
44:14
well,
44:14
happy
44:15
birthday
44:15
today
44:15
to
44:16
ddl,
44:17
that's
44:17
Daniel
44:18
Day
44:18
Lewis,
44:19
Michelle
44:19
Pfeiffer,
44:20
and
44:20
to
44:20
the
44:20
man
44:21
who
44:21
starred
44:21
in
44:21
the
44:22
single
44:22
greatest
44:22
TV
44:23
sitcom
44:23
without
44:24
debate,
44:25
the
44:25
great
44:25
Jerry
44:26
Seinfeld.
44:26
What
44:26
a
44:26
great
44:27
day
44:27
for
44:27
birthdays.
44:27
Daniel
44:28
Day
44:28
Lewis,
44:28
Michelle
44:28
Pfeiffer
44:29
and
44:29
Jerry
44:29
Seinfeld
44:30
all
44:30
have
44:30
a
44:30
birthday
44:30
on
44:30
the
44:31
same
44:31
day.
44:31
That's
44:31
outstanding.
44:32
And
44:32
remember,
44:33
if
44:33
you
44:33
can
44:33
only
44:33
read
44:33
or
44:33
listen
44:34
to
44:34
one
44:34
retail
44:34
blog
44:35
in
44:35
the
44:35
business,
44:35
make
44:35
it
44:35
Omnitok.
44:36
Our
44:36
Fast
44:37
five
44:37
podcast
44:37
is
44:37
the
44:38
quickest,
44:38
fastest
44:38
rundown
44:39
of
44:39
all
44:39
the
44:39
week's
44:39
top
44:39
news.
44:40
And
44:40
our
44:40
daily
44:41
newsletter,
44:41
the
44:41
Retail
44:41
Daily
44:42
Minute,
44:42
tells
44:42
you
44:42
all
44:42
you
44:43
need
44:43
to
44:43
know
44:43
each
44:43
day
44:43
to
44:44
stay
44:44
on
44:44
top
44:44
of
44:44
your
44:45
game
44:45
as
44:45
a
44:45
retail
44:45
executive
44:46
and
44:46
also
44:46
regularly
44:47
features
44:47
special
44:48
content
44:48
that
44:48
is
44:48
exclusive
44:49
to
44:49
us.
44:49
Thanks
44:50
as
44:50
always
44:50
for
44:50
listening
44:50
in.
44:51
Please
44:51
remember
44:51
to
44:51
like
44:51
and
44:52
leave
44:52
us
44:52
a
44:52
review
44:52
wherever
44:53
you
44:53
happen
44:53
to
44:53
listen
44:53
to
44:54
your
44:54
podcast
44:54
or
44:54
on
44:55
YouTube.
44:55
You
44:55
can
44:56
follow
44:56
us
44:56
today
44:56
by
44:56
simply
44:56
going
44:57
to
44:57
YouTube.com
44:59
omnitalkretail
45:00
hey,
45:00
Shelly,
45:00
if
45:01
people
45:01
are
45:01
listening
45:02
and
45:02
they
45:02
want
45:02
to
45:02
get
45:02
in
45:03
touch
45:03
with
45:03
you,
45:04
maybe
45:04
be
45:04
a
45:05
part
45:05
of
45:05
what
45:05
it
45:05
is
45:05
you're
45:06
building
45:06
with
45:06
the
45:06
community
45:07
that
45:08
you
45:08
talked
45:08
about
45:08
at
45:08
the
45:08
open.
45:09
What's
45:09
the
45:09
best
45:09
way
45:09
for
45:10
them
45:10
to
45:10
do
45:10
that?
45:11
Sure,
45:11
reach
45:12
out
45:12
to
45:12
me
45:12
directly.
45:12
I'm
45:13
on
45:13
LinkedIn.
45:13
S
45:14
h
45:14
e
45:14
l
45:14
l
45:14
e
45:15
y
45:15
Huff
45:16
on
45:16
LinkedIn
45:17
at
45:17
Huff,
45:18
Shelley
45:18
on
45:18
Instagram
45:19
or
45:19
you
45:19
can
45:19
reach
45:19
me
45:20
on
45:20
email.
45:20
Shelley,
45:21
the
45:21
Interval
45:22
Community
45:22
dot
45:23
Com.
45:23
Awesome.
45:24
The
45:24
Interval
45:25
Community.
45:25
All
45:25
right.
45:25
Yeah.
45:26
Everybody,
45:26
check
45:26
it
45:26
out.
45:27
Shelly's
45:27
gonna
45:27
be
45:27
doing
45:28
some
45:28
bigger
45:28
and
45:28
better
45:28
things
45:29
here.
45:29
I
45:29
just
45:29
can
45:30
sense
45:30
it.
45:30
I
45:30
can
45:30
sense
45:31
it.
45:31
Cause
45:31
she's,
45:32
like,
45:32
beaming
45:32
whenever
45:32
she
45:32
talks
45:33
about
45:33
it.
45:33
If
45:33
you're
45:33
watching
45:34
the
45:34
video
45:34
here,
45:34
too,
45:34
so
45:35
if
45:35
you
45:35
probably
45:35
see
45:36
see
45:36
it,
45:36
you
45:36
can
45:36
probably
45:36
even
45:37
hear
45:37
it
45:37
in
45:37
her
45:38
voice.
45:38
All
45:38
right,
45:38
well,
45:39
on
45:39
behalf
45:39
of
45:40
Shelly,
45:40
producer,
45:41
Ella,
45:41
myself,
45:42
everyone
45:42
at
45:42
Omnitok
45:43
Retail,
45:44
as
45:44
always,
45:44
be
45:45
careful
45:45
out
45:45
there.