Latest / Omni Talk Retail / Peloton Resale, Dollar General's Home Line & Who Knew Walmart Could Be So Sparky? | Fast Five

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Peloton Resale, Dollar General's Home Line & Who Knew Walmart Could Be So Sparky? | Fast Five · Omni Talk Retail

0:01
The
0:01
Amitak
0:01
Fast5
0:02
is
0:02
brought
0:02
to
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you
0:02
by
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the
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A
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and
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M
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Consumer
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and
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Retail
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Group.
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The
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A
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and
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M
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Consumer
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Retail
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a
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1:08
helps
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delivery
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every
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more@cleardemand.com
1:33
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Ocampo
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capital
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founded
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by
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retail
1:38
executives
1:39
with
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the
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aim
1:39
of
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helping
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early
1:40
stage
1:40
consumer
1:41
businesses
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succeed
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through
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1:43
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1:43
operational
1:43
support.
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Learn
1:45
more@ocampo
1:46
capital.com
1:48
hello,
1:48
you
1:48
are
1:49
listening
1:49
to
1:49
Omnitox
1:50
Retail
1:51
Fast
1:51
Five
1:51
ranked
1:52
in
1:52
the
1:52
top
1:52
10%
1:52
of
1:53
all
1:53
podcasts
1:54
globally
1:54
and
1:54
currently
1:55
the
1:55
only
1:56
retail
1:56
podcast
1:57
ranked
1:57
in
1:57
the
1:57
top
1:57
100
1:58
business
1:58
podcasts
1:59
on
1:59
Apple
2:00
Podcasts.
2:00
The
2:00
Retail
2:01
Fast
2:01
Five
2:01
is
2:01
the
2:01
podcast
2:02
that
2:02
we
2:02
hope
2:02
makes
2:02
you
2:03
feel
2:03
a
2:03
little
2:03
smarter,
2:04
but
2:04
most
2:05
importantly,
2:05
a
2:05
little
2:05
happier
2:06
each
2:06
week
2:06
too.
2:07
And
2:07
the
2:07
Fast
2:08
5
2:08
is
2:08
just
2:08
one
2:08
of
2:08
the
2:08
many
2:09
great
2:09
podcasts
2:09
you
2:09
can
2:10
find
2:10
from
2:10
the
2:10
Omnitok
2:11
Retail
2:11
Podcast
2:11
Network
2:12
alongside
2:13
our
2:13
Retail
2:13
Daily
2:14
Minute,
2:14
which
2:14
brings
2:14
you
2:14
a
2:15
curated
2:15
selection
2:15
of
2:16
the
2:16
most
2:16
important
2:16
retail
2:17
headlines
2:17
every
2:18
morning
2:18
and
2:19
our
2:19
Retail
2:19
Technology
2:20
Spotlight
2:20
series,
2:20
which
2:21
goes
2:21
deep
2:21
each
2:22
week
2:22
on
2:22
the
2:22
latest
2:23
retail
2:24
technology
2:24
trends.
2:25
It's
2:25
June
2:26
11,
2:26
2025.
2:27
I'm
2:27
one
2:27
of
2:28
your
2:28
hosts,
2:28
Anne
2:28
Mazenga.
2:29
And
2:29
I'm
2:29
Chris
2:29
Walton,
2:30
and
2:30
we're
2:30
here.
2:30
Once
2:31
again
2:31
to
2:31
discuss
2:31
the
2:32
top
2:32
headlines
2:33
from
2:33
the
2:33
past
2:33
week
2:34
making
2:34
waves
2:34
in
2:34
the
2:34
world
2:35
of
2:35
Omnichannel
2:36
Retailing.
2:36
We
2:37
are
2:37
here,
2:37
Chris
2:37
in
2:38
Amsterdam.
2:38
In
2:38
Amsterdam,
2:39
live
2:39
from
2:40
the
2:40
Consumer
2:40
Goods
2:41
Forum.
2:41
First
2:41
timers
2:42
here.
2:42
First
2:42
timers,
2:43
yes,
2:43
first
2:43
timers.
2:44
But
2:44
quite
2:44
a
2:44
show,
2:44
quite
2:45
a
2:45
show
2:45
here.
2:45
Courtesy
2:46
of
2:46
the
2:46
Viewsion
2:46
Group.
2:47
They
2:47
are,
2:48
are
2:48
proud
2:49
partners
2:49
for
2:49
this
2:50
event.
2:50
They've
2:50
put
2:50
us
2:50
up
2:51
in
2:51
the,
2:51
in
2:51
the
2:52
typical
2:52
fusion
2:52
booth
2:53
group
2:53
that
2:53
we
2:53
do
2:53
and
2:54
get
2:54
with
2:54
them
2:55
every
2:55
show
2:55
that
2:55
we
2:55
do
2:56
and
2:56
it's
2:56
all.
2:56
They
2:56
always
2:57
do
2:57
a
2:57
bang
2:57
up
2:58
job.
2:58
They,
2:58
they
2:58
make
2:59
it.
2:59
They
2:59
give
2:59
us
2:59
the
2:59
Cadillac
3:00
experience
3:00
and
3:01
don't
3:01
they?
3:01
Yes,
3:01
they
3:01
give
3:01
us
3:02
the
3:02
Cadillac
3:02
experience
3:03
so
3:03
that
3:03
we
3:03
can
3:03
give
3:03
you
3:04
the
3:04
CAD
3:05
experience
3:05
at
3:05
home
3:06
who
3:06
are
3:06
watching
3:06
and
3:07
following
3:07
along.
3:07
We've
3:08
got
3:08
some
3:08
really
3:08
great
3:08
interviews
3:09
lined
3:09
up
3:09
for
3:09
you
3:10
over
3:10
the
3:10
course
3:10
of
3:10
the
3:10
next
3:11
few
3:11
days,
3:12
so
3:12
please
3:13
stay
3:13
tuned
3:14
to
3:14
LinkedIn
3:15
or
3:15
you
3:16
can
3:16
follow
3:16
us
3:16
also
3:17
on
3:17
YouTube.
3:18
Great
3:18
place
3:18
to
3:19
get
3:19
that
3:19
content.
3:19
And
3:20
of
3:20
course
3:20
we'll
3:20
be
3:20
posting
3:21
all
3:21
the
3:21
podcasts
3:22
as
3:22
well,
3:23
but
3:24
a
3:24
little
3:24
bit
3:24
later
3:24
on
3:25
those
3:25
don't
3:25
come
3:25
out
3:25
quite
3:26
as.
3:26
Yeah,
3:26
not,
3:26
not
3:27
as
3:27
real
3:27
time
3:27
as
3:28
the
3:28
video
3:28
feed,
3:29
but
3:29
yes,
3:29
but
3:29
usually
3:29
within
3:30
24
3:30
hours
3:30
we
3:30
get
3:30
the
3:31
videos
3:31
and
3:31
we've
3:31
got
3:32
some
3:32
really
3:32
great,
3:32
really
3:33
great
3:33
executives
3:34
from
3:34
the
3:34
world
3:34
of
3:35
retail
3:35
and
3:35
cpg,
3:36
most
3:36
significantly
3:37
of
3:37
which
3:37
is
3:38
Franz
3:38
Mueller,
3:39
the
3:39
CEO
3:39
of
3:39
Ajo
3:39
Delez
3:40
who's
3:40
going
3:40
to
3:41
be
3:41
joining
3:41
us
3:41
hopefully
3:41
on
3:42
Friday.
3:42
So
3:43
stick
3:43
around
3:43
and
3:43
keep
3:44
an
3:44
eye
3:44
out
3:44
for
3:44
that.
3:45
But
3:45
Ann.
3:45
Yes,
3:46
we're
3:46
in
3:46
Amsterdam.
3:46
Sprenzie
3:47
Dutch
3:47
and
3:48
Sprekensee
3:48
Dutch.
3:49
Is
3:50
that.
3:50
No,
3:50
that's
3:50
wrong.
3:50
German.
3:51
That's
3:51
German.
3:51
But
3:52
anyway,
3:52
but
3:52
anyway,
3:53
I
3:54
was
3:54
like,
3:54
wait
3:54
a
3:54
second,
3:55
I
3:55
don't,
3:55
I
3:55
don't
3:55
know
3:56
if
3:56
that
3:56
is
3:57
the
3:57
right
3:57
one.
3:57
And
3:58
no
3:58
is
3:58
the
3:58
answer
3:59
to
3:59
all
3:59
of
4:00
those
4:00
questions.
4:00
But,
4:01
but
4:01
before
4:01
we
4:02
get
4:02
into
4:02
retail
4:03
headlines,
4:03
I
4:04
to
4:04
ask,
4:04
this
4:04
is
4:04
one
4:04
of
4:04
our
4:05
favorite
4:05
questions.
4:05
This
4:05
is
4:05
always
4:05
my
4:06
favorite
4:06
part
4:06
of
4:06
the
4:06
show
4:06
when
4:06
I
4:07
have
4:07
no
4:07
idea
4:07
what
4:07
Anne's
4:07
going
4:07
to
4:08
ask
4:08
me
4:08
for
4:08
the
4:08
day.
4:08
To
4:08
ask
4:09
each
4:09
other
4:09
is
4:10
what's
4:10
the
4:10
best
4:11
thing
4:11
you.
4:11
We
4:11
took
4:12
a
4:12
little.
4:12
A
4:12
true
4:13
holiday
4:13
over
4:14
the
4:14
weekend.
4:14
We
4:15
did
4:15
a
4:15
holiday,
4:15
as
4:15
they
4:15
say
4:16
in
4:16
Europe.
4:16
Yes,
4:16
yes.
4:16
A
4:17
summer
4:17
holiday.
4:18
You
4:19
were
4:19
in
4:19
Paris.
4:19
Yes,
4:20
I
4:20
was
4:20
in
4:20
Spain.
4:23
Most
4:23
importantly,
4:24
what's
4:24
the
4:24
best
4:24
thing
4:24
that
4:25
you've
4:25
eaten
4:25
over
4:25
the
4:25
course
4:26
of
4:26
the
4:26
last
4:26
weekend
4:27
on
4:27
your
4:28
holiday?
4:28
Ooh,
4:28
the
4:28
best
4:29
thing
4:29
I
4:29
ate
4:29
Anne.
4:30
So
4:30
we're
4:30
in
4:30
Paris,
4:31
me
4:31
and
4:31
the
4:31
Mrs.
4:31
And
4:32
we
4:32
went
4:32
to
4:32
the
4:32
Blue.
4:33
The
4:33
Actually
4:34
it's
4:34
called
4:34
the
4:34
Oyster
4:35
Club.
4:35
I
4:35
just
4:36
keep
4:36
calling
4:36
it
4:36
the
4:36
Blue
4:36
Oyster
4:37
Club.
4:37
Like
4:38
Blue
4:38
Oyster
4:38
Club.
4:39
I
4:39
went
4:40
down
4:40
to
4:40
the
4:40
Blue
4:41
Oyster
4:41
Club.
4:41
But
4:41
anyway,
4:42
it
4:42
was.
4:42
Oh,
4:42
I
4:42
thought
4:42
you
4:43
were
4:43
Going
4:43
to
4:43
go
4:43
Blue
4:43
Oyster
4:44
Cult.
4:44
No,
4:44
no,
4:45
no,
4:45
I
4:45
wasn't,
4:45
No,
4:46
I
4:46
went
4:46
Blue
4:46
Oyster
4:47
Club,
4:47
you
4:47
know,
4:47
and
4:48
shout
4:48
out
4:48
to,
4:49
to
4:49
the
4:49
secret
4:50
name.
4:50
I
4:50
checked.
4:51
Yes,
4:51
chap.
4:52
Yes.
4:52
Chapel
4:52
Road.
4:52
Okay.
4:53
That
4:53
I
4:53
couldn't
4:53
think
4:53
of.
4:53
But
4:53
anyway,
4:54
I
4:54
had
4:54
some
4:54
fresh
4:55
shrimp
4:56
and
4:56
it
4:56
was
4:57
amazing.
4:58
So
4:58
good.
4:58
And
4:59
we
4:59
also
4:59
had
4:59
some,
5:00
some
5:00
oysters
5:01
and,
5:01
and
5:02
some,
5:02
some
5:02
fresh
5:03
salmon,
5:03
which
5:04
was
5:04
seasoned
5:04
just
5:04
to
5:05
perfection.
5:05
But
5:05
what
5:05
is
5:06
your
5:06
bite?
5:06
Because
5:06
I
5:06
have
5:06
a
5:06
feel
5:07
this
5:07
question
5:08
for
5:08
a
5:08
reason.
5:08
No,
5:09
I
5:09
mean,
5:10
I,
5:10
I,
5:11
I
5:11
don't
5:11
know
5:11
that
5:12
the
5:12
bite
5:12
is
5:12
what
5:13
I
5:13
would
5:13
be
5:13
the
5:14
most
5:15
like.
5:16
I
5:16
mean,
5:16
Spanish
5:16
food
5:16
is
5:17
great,
5:17
the
5:17
cheese,
5:18
the
5:18
wine,
5:18
everything.
5:20
But
5:20
I
5:21
have
5:21
to
5:21
say,
5:22
Costa
5:22
Brava.
5:23
Yeah.
5:24
You,
5:24
you,
5:24
you
5:24
liking
5:24
the
5:25
Costa,
5:25
huh?
5:25
You
5:26
liking
5:26
the
5:26
Costa?
5:27
It's
5:27
the,
5:27
it's
5:28
one
5:28
of
5:28
the
5:28
most
5:28
spectacular
5:29
places.
5:29
So
5:30
I'm
5:30
still,
5:30
I'm
5:31
still
5:31
in
5:31
awe
5:31
of
5:32
the
5:32
beauty
5:32
that
5:33
was
5:33
everything
5:34
around
5:34
me.
5:35
And
5:35
the
5:35
food
5:35
was
5:35
a
5:36
nice.
5:38
So
5:38
you
5:38
ate
5:38
in
5:38
the
5:38
beauty.
5:39
That's
5:39
what
5:39
you
5:39
did.
5:40
You
5:40
ate
5:40
in
5:40
the
5:40
beauty.
5:40
You
5:41
consumed
5:41
the
5:41
beauty
5:42
of
5:43
the
5:43
environment.
5:44
So
5:45
that's
5:45
why
5:45
I
5:45
had
5:45
to
5:45
ask
5:45
you
5:46
the
5:46
question.
5:46
Yes,
5:46
I
5:46
was,
5:47
yes.
5:47
And
5:47
my
5:47
God,
5:47
is
5:48
there
5:48
a
5:48
lot
5:48
of
5:48
food
5:48
to
5:48
eat
5:49
there?
5:49
So
5:49
many
5:49
good
5:49
pastries
5:50
too.
5:50
Yeah.
5:51
So.
5:51
All
5:51
right,
5:51
well,
5:51
let's
5:51
get
5:52
to
5:52
this
5:52
week's
5:52
headlines.
5:53
In
5:53
this
5:53
week's
5:54
Fast
5:54
5,
5:54
we've
5:54
got
5:55
news
5:55
on
5:55
Walmart's
5:56
new
5:56
Sparky,
5:57
AI
5:57
assistant,
5:58
Dollar
5:59
General's
5:59
new
5:59
home
5:59
line
6:00
with
6:00
Kathy
6:00
Ireland,
6:01
Amazon
6:02
using
6:02
humanoid
6:03
robots
6:03
to
6:03
deliver
6:03
packages.
6:04
Peloton
6:05
launching
6:05
a
6:05
new
6:05
resale
6:06
platform.
6:06
But
6:07
we
6:07
begin
6:08
with
6:08
some
6:09
more
6:09
big
6:10
news
6:10
out
6:10
of
6:10
Walmart.
6:11
Who
6:11
knew?
6:12
And
6:12
who
6:13
knew?
6:13
I
6:14
love
6:14
this
6:14
so
6:15
much.
6:15
I'm
6:15
already
6:15
giving
6:15
it
6:16
away.
6:16
Chris.
6:16
Headline
6:17
number
6:17
one,
6:17
Walmart
6:17
has
6:18
introduced
6:18
a
6:18
new
6:18
ad
6:19
campaign
6:20
featuring
6:20
Walton
6:21
Goggins
6:22
of
6:22
the
6:23
White
6:23
Lotus
6:23
fame.
6:23
Under
6:24
the
6:24
tagline
6:25
who
6:25
knew?
6:26
According
6:26
to
6:26
a
6:27
Walmart
6:27
press
6:27
release,
6:27
the
6:28
campaign
6:28
is
6:28
meant
6:28
to
6:28
highlight
6:29
how
6:29
Walmart
6:29
has
6:30
changed,
6:30
quote,
6:31
a
6:31
lot.
6:33
The
6:33
campaign
6:33
highlights
6:34
how
6:34
Walmart
6:35
now
6:35
has
6:35
more
6:35
than
6:35
half
6:36
a
6:36
billion
6:36
items
6:36
online
6:37
and
6:37
in
6:37
its
6:37
app.
6:38
Express
6:38
delivery
6:39
to
6:39
your
6:39
door
6:39
in
6:39
as
6:39
little
6:39
as
6:40
one
6:40
hour.
6:40
A
6:41
Walmart
6:41
plus
6:41
membership
6:42
that
6:42
gives
6:42
you
6:42
perks
6:43
beyond
6:43
groceries
6:44
and
6:44
a
6:44
digital
6:44
experience
6:45
that's,
6:46
well,
6:46
better
6:46
than
6:47
most
6:47
people
6:47
realize
6:48
because,
6:49
quote,
6:49
the
6:50
biggest
6:50
surprise
6:50
isn't
6:51
what's
6:51
changed,
6:51
Chris,
6:52
it's
6:52
how
6:52
many
6:53
people
6:53
don't
6:53
know.
6:54
It's
6:54
already
6:55
there.
6:55
I
6:55
love
6:55
when
6:55
we
6:56
have
6:56
to
6:56
quote
6:56
the
6:56
press
6:56
releases.
6:57
It's
6:57
so
6:57
great.
6:58
Yes.
6:59
Chris,
6:59
what's
6:59
your
6:59
assessment
7:00
of
7:01
Walmart's
7:01
new
7:02
who
7:02
knew?
7:04
I
7:04
mean,
7:04
and
7:05
in
7:05
a
7:05
nutshell,
7:05
I
7:06
think,
7:06
I
7:06
think,
7:06
honestly,
7:07
I
7:07
love
7:07
it.
7:08
I
7:08
think
7:08
it's
7:08
a
7:09
brilliant
7:09
move,
7:09
particularly
7:10
from
7:10
the
7:10
CMO
7:11
William
7:11
White's
7:12
mind.
7:12
And
7:13
more
7:13
on
7:13
him
7:13
probably
7:14
later,
7:14
you
7:14
know,
7:14
if
7:15
we
7:15
have
7:15
a
7:15
time
7:15
to
7:15
get
7:15
to
7:15
it.
7:15
But
7:16
you
7:16
know,
7:16
first,
7:17
I
7:17
mean,
7:17
first
7:17
of
7:17
all,
7:17
I
7:17
have
7:18
to
7:18
love
7:18
anything
7:18
by
7:18
Walton
7:19
Goggins.
7:20
Like
7:20
shout
7:20
out
7:20
to
7:20
the
7:21
name
7:21
Walton.
7:21
Like,
7:22
that's
7:22
so
7:22
great.
7:22
That
7:22
was
7:23
such
7:23
a
7:23
perfect
7:23
pick.
7:24
Yeah,
7:24
the
7:24
casting
7:24
for
7:25
this
7:25
was
7:25
Walton.
7:26
Cloggins,
7:27
if
7:27
you've
7:27
seen
7:27
the
7:27
commercial.
7:28
That's
7:28
so
7:28
great.
7:29
Walton
7:29
Cloggins,
7:30
that's
7:30
such
7:30
a
7:30
great
7:30
little
7:31
play
7:31
on
7:31
words.
7:31
But
7:32
strategically,
7:33
I
7:33
also,
7:33
I
7:34
also
7:34
love
7:34
this
7:34
because
7:36
it
7:36
says
7:36
to
7:36
Amazon
7:37
shoppers,
7:37
basically
7:37
it
7:37
says
7:38
like,
7:38
look,
7:38
everything
7:39
you
7:39
can
7:39
get
7:39
from
7:39
Amazon.
7:40
Yeah,
7:40
you
7:40
can
7:40
now
7:41
get
7:41
from
7:41
us.
7:41
And,
7:42
and,
7:42
and
7:42
more
7:43
so
7:43
because
7:43
once
7:43
you
7:43
cross
7:44
like
7:44
a
7:44
half
7:44
billion
7:45
item
7:45
threshold,
7:46
like
7:46
it's
7:46
like,
7:46
you
7:47
know,
7:47
having
7:47
600
7:48
million,
7:48
700
7:49
million,
7:49
who
7:49
cares
7:49
at
7:50
that
7:50
point,
7:50
right?
7:50
And,
7:50
but
7:51
by
7:51
the
7:51
same
7:52
token,
7:52
with
7:52
Walmart
7:52
plus,
7:53
you
7:53
get
7:53
so
7:53
much
7:53
more
7:54
benefits.
7:54
In
7:54
Amazon
7:55
prime
7:55
you
7:55
get
7:55
the
7:56
gas
7:56
discounts,
7:57
you
7:57
get
7:58
the.
7:58
I
7:59
wrote,
7:59
I
7:59
wrote
7:59
down
7:59
everything
8:00
here.
8:00
You
8:00
get
8:00
in
8:00
store
8:01
returns,
8:01
you
8:01
get
8:02
express
8:02
delivery.
8:03
So
8:03
you
8:03
know
8:03
when.
8:04
And
8:04
it's
8:04
cheaper.
8:04
Yeah,
8:05
it's
8:05
like
8:05
50
8:05
bucks
8:06
cheaper.
8:06
I
8:07
can't
8:07
remember
8:07
exactly,
8:07
but
8:08
it's
8:08
like
8:08
50
8:08
bucks
8:08
cheaper.
8:09
So
8:09
like
8:09
the
8:09
annual
8:09
subscription.
8:10
Yeah,
8:10
the
8:10
annual
8:10
subscription
8:11
for
8:11
Walmart
8:11
Plus.
8:11
So
8:11
Walmart
8:12
plus
8:12
beats
8:12
prime
8:13
every
8:13
day
8:13
of
8:14
the
8:14
week
8:14
and
8:14
twice
8:14
on
8:14
Sundays,
8:15
in
8:15
my
8:15
opinion.
8:15
So,
8:15
yeah,
8:16
I
8:16
think
8:16
this
8:16
is
8:16
a
8:16
great
8:17
campaign.
8:17
Super
8:18
smart,
8:18
super
8:18
brilliant.
8:19
What
8:19
do
8:19
you
8:19
think?
8:19
You
8:19
love
8:20
it
8:20
too,
8:20
because
8:20
you
8:20
already
8:20
kind
8:20
of
8:21
showed
8:21
your
8:21
hand
8:22
on
8:22
this.
8:22
I
8:22
just
8:22
thought
8:22
it
8:22
was
8:23
a
8:23
really
8:23
great,
8:24
you
8:24
know,
8:24
coming
8:24
from
8:24
my
8:25
advertising
8:25
background,
8:26
I
8:26
thought
8:26
this
8:26
was
8:26
one
8:27
of
8:27
the
8:27
great
8:27
ways
8:28
to
8:28
just
8:28
kind
8:28
of
8:29
play
8:29
on
8:29
the
8:29
obvious
8:30
theme,
8:31
which
8:31
is
8:31
like
8:32
just
8:33
the
8:33
Walton
8:34
Goggins
8:34
you're
8:35
talking
8:35
about.
8:35
Who
8:35
knew
8:36
you're
8:36
featuring
8:36
the.
8:37
If
8:37
you
8:37
haven't
8:37
seen
8:37
the
8:37
advertisement,
8:38
it's
8:38
so
8:39
good,
8:39
like
8:39
just
8:40
featuring
8:40
every
8:40
single
8:41
thing
8:41
in
8:41
that
8:42
hole,
8:42
from
8:42
clogs
8:43
to
8:43
accordions,
8:44
are
8:44
things
8:45
that
8:45
you
8:45
can
8:45
buy
8:46
on
8:46
Walmart
8:46
Plus.
8:47
So
8:47
I
8:47
think
8:47
it
8:47
just
8:47
was,
8:47
it
8:48
did
8:48
a
8:48
really
8:48
great
8:48
job
8:49
of
8:49
showing
8:49
people
8:50
hitting
8:51
the
8:51
point
8:51
home.
8:52
But
8:52
I
8:52
think
8:52
most
8:53
importantly,
8:54
in
8:54
addition
8:54
to
8:55
what
8:55
this
8:55
is
8:55
telling
8:56
people
8:56
about
8:57
Walmart
8:57
is
8:58
that
8:58
in
8:58
addition
8:58
to
8:59
what
8:59
they
8:59
can
8:59
get
8:59
from
8:59
Amazon,
9:00
you
9:00
also
9:01
have
9:01
to
9:01
think
9:01
about
9:02
the
9:02
grocery
9:02
and
9:03
food
9:03
elements
9:03
that
9:04
is
9:04
so
9:04
significant
9:05
here.
9:05
So
9:05
all
9:05
of
9:06
these
9:06
things
9:06
in
9:06
the
9:07
entire
9:07
universe
9:08
of
9:08
Walmart's
9:09
marketplace.
9:09
But
9:10
then
9:10
also
9:10
with
9:11
a
9:11
Walmart
9:11
plus
9:11
membership,
9:12
you
9:12
also
9:12
have
9:13
access
9:13
to
9:14
groceries.
9:14
And
9:15
I
9:15
think
9:15
what's
9:16
most
9:16
significant
9:17
to
9:17
the
9:17
people
9:18
that
9:18
I've
9:18
been
9:18
trying.
9:18
I've
9:19
been
9:19
evangelizing
9:19
the
9:19
Walmart
9:20
plus.
9:20
Yeah,
9:20
you're.
9:21
You're
9:21
like
9:21
the
9:21
biggest
9:22
probably.
9:23
Oh
9:23
my
9:23
God.
9:23
It's
9:24
been
9:24
amazing.
9:24
But
9:25
I
9:25
think
9:25
the
9:25
thing
9:25
that's
9:25
most
9:26
impressive
9:26
for
9:26
people
9:27
is
9:28
that
9:28
should
9:28
you
9:29
decide
9:29
you
9:29
don't
9:30
ever
9:30
want
9:30
to
9:30
step
9:31
foot
9:31
in
9:31
a
9:31
Walmart,
9:32
or
9:32
maybe
9:32
for
9:33
us,
9:33
it's
9:33
not
9:33
convenient
9:34
for
9:34
as
9:35
convenient
9:35
for
9:35
you
9:36
because
9:36
you
9:36
have
9:36
to
9:36
drive
9:36
a
9:37
little
9:37
bit
9:37
further
9:38
right
9:38
now
9:39
you
9:39
can
9:39
have
9:39
the
9:40
total
9:40
Walmart
9:40
experience,
9:41
get
9:41
all
9:41
of
9:41
those
9:42
benefits
9:42
and
9:43
everything
9:43
comes
9:44
to
9:44
you
9:44
through
9:45
the
9:45
app,
9:45
through
9:46
the
9:46
digital
9:46
properties.
9:47
You
9:47
can
9:47
return
9:48
stuff
9:48
through
9:48
the
9:48
app.
9:49
Like
9:49
everything
9:50
that
9:50
is
9:50
in
9:50
the
9:50
Walmart
9:51
system
9:52
can
9:52
come
9:52
to
9:52
you
9:53
as
9:53
a
9:53
consumer.
9:53
And
9:54
I
9:54
think
9:54
that's
9:55
where
9:55
you
9:55
really
9:56
are
9:56
starting
9:56
to
9:57
see
9:57
the
9:57
significance
9:58
of
9:58
this
9:58
new
9:58
demographic
9:59
coming
9:59
to
9:59
Walmart.
10:01
I
10:01
100%
10:02
agree.
10:02
I
10:02
mean,
10:02
I
10:03
don't
10:03
think
10:03
there's
10:03
nothing
10:04
more
10:04
I
10:04
would
10:04
add
10:04
to
10:04
that.
10:05
I
10:05
think
10:05
those
10:05
points
10:05
are
10:05
dead
10:06
on.
10:06
It's
10:06
a
10:06
really
10:06
smart
10:07
play.
10:07
You
10:08
know,
10:08
I
10:08
mentioned
10:08
William
10:08
White
10:08
before,
10:09
former
10:09
colleague
10:10
of
10:10
ours
10:10
at
10:10
Target.
10:11
Ton
10:11
of
10:11
respect
10:11
for
10:12
him.
10:13
You
10:13
know,
10:13
he
10:13
potentially,
10:14
you
10:14
know,
10:14
if
10:15
I
10:15
was,
10:15
if
10:15
I
10:15
was
10:15
Target,
10:16
I'd
10:16
be
10:16
taking
10:16
a
10:17
hard
10:17
look
10:17
at
10:17
him
10:17
given
10:18
his
10:18
background
10:18
and
10:18
what
10:19
he's
10:19
doing
10:19
here
10:20
to
10:20
upscale
10:21
Target
10:21
to
10:21
upscale
10:22
Walmart
10:22
in
10:22
terms
10:22
of
10:22
the
10:23
perception
10:23
that
10:23
it
10:24
has
10:24
across
10:24
the
10:24
nation
10:24
as
10:25
well.
10:25
So
10:25
I'm
10:26
sure
10:26
the
10:26
Walmart
10:26
folks
10:26
aren't
10:27
happy
10:27
to
10:27
hear
10:27
me
10:27
say
10:27
that.
10:28
But,
10:28
but,
10:28
and
10:28
if
10:29
I
10:29
was,
10:29
if
10:29
I
10:29
was
10:29
the,
10:29
if
10:30
I
10:30
was
10:30
the
10:30
Target
10:30
board,
10:30
I'd
10:31
definitely
10:31
be
10:31
taking
10:31
a
10:31
hard
10:31
look
10:31
at
10:31
him.
10:32
He
10:32
might
10:32
actually
10:32
be
10:32
my
10:33
a
10:33
number
10:33
one
10:33
choice.
10:34
All
10:34
right,
10:35
headline
10:35
number
10:35
two.
10:36
And
10:36
as
10:37
Beverly
10:37
d'
10:37
Angelo
10:38
once
10:38
said
10:38
to
10:39
Clark
10:39
Griswold,
10:40
hey,
10:41
Sparky.
10:42
Because
10:42
Walmart
10:43
has
10:43
a
10:43
new
10:43
AI
10:43
assistant
10:44
and
10:44
it
10:44
is
10:44
called
10:45
exactly
10:45
that.
10:46
Sparky2
10:47
Walmart
10:47
headlines
10:48
lead
10:48
off
10:48
today,
10:48
folks.
10:49
According
10:49
to
10:49
Chain
10:50
Storage,
10:51
the
10:51
discount
10:52
giant
10:52
is
10:52
now
10:52
offering
10:53
a
10:53
smiling
10:54
Ask
10:54
Sparky
10:55
button
10:56
in
10:56
its
10:56
mobile
10:56
app,
10:57
which
10:57
customers
10:57
can
10:57
use
10:57
across
10:58
all
10:58
product
10:58
creators,
10:59
product
10:59
categories
11:00
to
11:00
find
11:00
items
11:01
and
11:01
synthesize
11:02
reviews.
11:03
Customers
11:03
can
11:03
also
11:04
conduct
11:04
natural
11:05
language
11:05
searches
11:06
to
11:06
determine
11:06
information
11:07
such
11:07
as
11:07
what
11:08
sports
11:08
teams
11:08
are
11:09
playing
11:09
that
11:09
night
11:10
or
11:10
the
11:11
weather
11:11
at
11:11
the
11:11
beach
11:12
they're
11:12
heading
11:12
to
11:12
and
11:12
get
11:13
a
11:13
custom
11:13
outfit
11:14
recommendation.
11:14
Wow,
11:15
I
11:15
didn't
11:15
know
11:15
about
11:15
that.
11:16
That's
11:16
pretty
11:16
cool.
11:17
Sparky
11:17
currently
11:18
uses
11:18
generative
11:19
AI,
11:19
but
11:20
soon
11:20
Walmart
11:20
also
11:21
says
11:21
that
11:21
it
11:21
plans
11:22
to
11:22
leverage
11:22
agentic
11:23
AI,
11:23
which
11:24
goes
11:24
a
11:24
step
11:24
beyond
11:25
generative
11:25
AI,
11:26
as
11:26
I'm
11:26
sure
11:26
all
11:26
you
11:26
Omnitalk
11:27
fans
11:27
are
11:28
very
11:28
familiar
11:28
with
11:28
at
11:29
this
11:29
point
11:29
because
11:29
it
11:30
analyzes
11:30
massive
11:31
amounts
11:31
of
11:31
data
11:31
in
11:31
near
11:32
real
11:32
time
11:32
and
11:32
automatically
11:33
takes
11:33
action
11:34
based
11:34
on
11:35
the
11:35
results
11:35
to
11:35
provide
11:36
more
11:36
functionality
11:37
from
11:38
Sparky.
11:38
And
11:39
are
11:39
you
11:40
buying
11:40
or
11:40
selling
11:41
the
11:41
hype
11:41
around
11:42
Sparky?
11:43
100%
11:43
buying.
11:44
You're
11:44
buying
11:44
this
11:44
too.
11:45
One
11:45
again,
11:45
hook,
11:46
line
11:46
and
11:46
sicker.
11:47
First,
11:47
because
11:48
now
11:48
all
11:49
Walmart
11:49
products
11:50
will
11:50
be
11:51
more
11:51
easily
11:51
discoverable
11:52
through
11:53
this
11:53
app
11:53
through
11:54
the
11:54
Ask
11:54
Sparky
11:55
application.
11:55
And
11:56
it
11:56
also
11:57
makes
11:57
Walmart
11:58
products
11:58
more
11:58
discoverable
11:59
through
11:59
other
12:00
large
12:01
language
12:01
search
12:02
models
12:02
because
12:02
their
12:03
products
12:03
are
12:03
set
12:04
up
12:04
to
12:04
be
12:04
discovered.
12:05
Second
12:06
to
12:06
the
12:06
points
12:06
that
12:06
we
12:07
made
12:07
earlier.
12:07
I
12:07
think
12:08
if
12:08
you
12:08
are
12:08
going
12:08
to
12:09
truly
12:09
compete
12:09
with
12:09
Amazon,
12:11
you
12:11
don't
12:12
have
12:12
to
12:12
name
12:12
it
12:12
after
12:13
a
12:13
dog
12:13
also,
12:13
but
12:14
Amazon
12:14
has
12:15
Rufus.
12:15
I
12:15
think
12:16
people
12:16
are
12:16
going
12:16
to
12:17
expect
12:17
that
12:17
Walmart,
12:18
should
12:18
they
12:18
convert
12:19
from
12:19
Amazon
12:19
to
12:20
Walmart,
12:20
that
12:20
they're
12:20
going
12:21
to
12:21
have
12:21
a
12:21
similar,
12:22
similar
12:23
service
12:23
using
12:24
something
12:24
like
12:24
Ask
12:25
Sparky.
12:25
But
12:26
lastly,
12:26
the
12:27
thing
12:27
I
12:27
think
12:27
that
12:27
I'm
12:28
most
12:28
excited
12:28
about
12:29
is
12:29
where
12:29
this
12:29
can
12:29
go
12:29
in
12:30
the
12:30
future.
12:30
And
12:30
Chris,
12:31
you
12:31
know
12:31
that
12:31
not
12:32
only
12:32
do
12:32
I
12:32
use
12:32
Walmart
12:33
plus
12:33
for
12:33
all
12:34
of
12:34
my
12:34
grocery
12:34
delivery,
12:35
all
12:35
of
12:35
my
12:35
essentials
12:36
and
12:37
pretty
12:37
much
12:37
everything
12:38
under
12:38
the.
12:38
Sun,
12:39
I
12:39
think
12:39
anyone
12:39
still
12:40
listening
12:40
to
12:40
this
12:40
podcast
12:41
knows
12:41
that
12:41
at
12:41
this
12:41
point.
12:42
I
12:42
also
12:43
have
12:44
used
12:44
their
12:44
travel
12:44
benefits
12:45
significantly.
12:46
I
12:46
booked
12:47
a
12:47
car
12:47
in
12:47
Spain
12:47
last
12:47
minute.
12:48
You
12:48
booked
12:49
a
12:49
rental
12:49
car
12:49
in
12:49
Spain?
12:50
I
12:50
booked
12:50
a
12:51
rental
12:51
car
12:51
in
12:51
Spain
12:52
through
12:52
Walmart
12:52
Plus.
12:52
I've
12:53
done
12:53
this
12:53
several
12:53
times
12:54
now.
12:55
But
12:55
the
12:55
thing
12:55
that's
12:56
so
12:56
interesting
12:56
about
12:57
this
12:57
is
12:57
that
12:57
I
12:57
think
12:58
once
12:58
you
12:58
start
12:58
to
12:58
get
12:59
the
12:59
agentic
12:59
element
12:59
in
13:00
here,
13:00
yes,
13:00
people
13:01
will
13:01
be
13:01
coming
13:01
to
13:01
Ask
13:02
Sparky.
13:02
And
13:02
I
13:03
hope
13:03
that
13:03
in
13:03
the
13:04
future
13:04
I'm
13:04
able
13:04
to
13:04
go
13:05
to
13:05
Ask
13:05
Sparky
13:06
and
13:06
say,
13:06
hey,
13:06
I'm
13:07
in
13:07
Barcelona,
13:07
I
13:07
need
13:08
a
13:08
rental
13:08
car
13:08
tomorrow
13:09
through
13:09
the
13:10
end
13:10
of
13:10
the
13:10
weekend.
13:11
Can
13:11
you
13:11
get
13:11
this
13:11
done
13:12
for
13:12
me?
13:12
And
13:12
that
13:13
gives
13:13
me
13:13
a
13:13
reason
13:14
to
13:14
go
13:14
back
13:15
to
13:15
Walmart
13:16
beyond
13:16
just
13:17
shopping,
13:17
which
13:17
I
13:17
think
13:18
is
13:18
brilliant,
13:19
but
13:19
are
13:19
you
13:19
buying?
13:20
Yeah,
13:20
yeah,
13:20
yeah.
13:20
No,
13:21
I'm
13:21
buying
13:21
it
13:21
too.
13:21
The
13:21
one
13:22
thing
13:22
I
13:22
take
13:22
umbrage
13:22
in
13:23
what
13:23
you
13:23
said,
13:23
and
13:23
it's
13:24
probably
13:24
the
13:24
smallest
13:24
port
13:24
I
13:25
could
13:25
possibly
13:25
take
13:25
umbrage
13:25
with
13:26
that.
13:26
You
13:26
said
13:26
Sparky
13:27
is
13:27
named
13:27
after
13:27
a
13:27
dog.
13:28
Because
13:28
if
13:28
you're
13:28
from
13:28
Tempe,
13:29
Sparky
13:30
is
13:30
actually
13:30
the
13:30
name
13:30
of
13:31
the
13:31
Arizona
13:31
State
13:31
Sun
13:32
Devil
13:32
mascot.
13:33
So
13:33
shout
13:33
out.
13:33
Yes,
13:34
so
13:34
shout
13:34
out
13:34
to
13:34
my
13:35
friends
13:35
in
13:35
Tempe
13:36
back
13:36
home.
13:36
That
13:36
like
13:37
little
13:37
devil
13:37
guy.
13:37
Yep,
13:38
Sparky
13:38
the
13:38
Sun
13:38
Devil.
13:39
Oh
13:39
my
13:39
God,
13:39
I
13:39
had
13:39
no
13:39
idea.
13:40
Yes,
13:40
we
13:40
had
13:40
a
13:41
seal
13:41
named
13:41
Sparky
13:42
at
13:42
the
13:42
zoo
13:42
in
13:42
Minnesota.
13:44
Feels
13:44
about
13:45
right.
13:46
I
13:46
love
13:46
seals
13:47
at
13:47
the
13:47
Minnesota
13:48
Zoo,
13:48
but
13:48
that's
13:48
another
13:48
topic
13:49
for
13:49
another
13:49
Day.
13:49
No,
13:49
but
13:50
I
13:50
agree
13:50
with
13:50
you
13:50
an.
13:50
I
13:51
mean,
13:51
I
13:51
think,
13:51
I
13:51
think
13:52
you
13:52
actually
13:52
have
13:52
to
13:52
look
13:52
at
13:53
these
13:53
two
13:53
stories
13:53
in,
13:54
in
13:54
connection
13:54
with
13:54
each
13:55
other
13:55
because
13:55
if
13:55
they're
13:56
able
13:56
to
13:56
get
13:56
more
13:56
app
13:56
downloads,
13:57
get
13:57
more
13:58
conversions,
13:59
the
13:59
mobile
13:59
app
13:59
serves
14:00
as
14:00
a
14:00
bedrock
14:01
for
14:01
them
14:01
to
14:01
take
14:02
this
14:02
in
14:02
the
14:02
arena
14:03
of
14:03
agentic
14:03
AI,
14:04
which
14:04
is
14:04
where
14:04
things
14:04
are
14:05
going.
14:05
And
14:06
if
14:06
you
14:06
step
14:06
back
14:06
30,000
14:07
foot
14:07
view,
14:07
you
14:08
have
14:08
to
14:08
salute
14:08
Walmart
14:09
for
14:09
just
14:10
even
14:10
putting
14:10
themselves
14:10
in
14:11
that
14:11
position
14:12
to
14:12
be
14:12
in
14:12
the
14:12
agentic
14:13
AI
14:13
conversation
14:14
with
14:15
Google,
14:15
with
14:15
Amazon,
14:16
because
14:16
it
14:16
brings
14:16
in
14:17
the
14:17
whole,
14:17
and
14:17
I
14:18
hate
14:18
to
14:18
say
14:18
it
14:18
because
14:18
it
14:19
can
14:19
be
14:19
overused,
14:19
but
14:20
it
14:20
brings
14:20
Walmart
14:21
squarely
14:21
into
14:22
the
14:22
super
14:22
app
14:22
conversation
14:23
of
14:24
everything
14:24
you
14:24
need
14:24
to
14:24
do
14:25
to
14:25
coordinate
14:25
your
14:25
life.
14:26
Your
14:26
life.
14:27
Talked
14:27
about
14:27
it.
14:27
But
14:27
getting
14:28
a
14:28
rental
14:28
car
14:28
through
14:29
the
14:29
app,
14:29
I
14:29
wouldn't
14:30
think
14:30
to
14:30
do
14:30
that
14:30
on
14:30
Amazon,
14:31
but
14:31
now
14:31
you're
14:31
doing
14:31
it
14:31
on
14:31
Walmart
14:32
plus.
14:32
Yeah.
14:32
So
14:33
Walmart
14:33
is
14:33
squarely
14:34
in
14:34
position
14:34
to
14:34
capitalize
14:35
on
14:35
that.
14:36
And
14:36
again,
14:36
we've
14:37
talked
14:37
about,
14:37
it's
14:37
just
14:37
a
14:38
question
14:38
of
14:38
who's
14:38
going
14:38
to
14:39
end
14:39
up
14:39
being
14:39
that
14:39
interface.
14:40
Right.
14:40
And
14:40
Walmart,
14:41
I
14:41
give
14:41
as
14:41
much
14:42
chance
14:42
as
14:43
anybody
14:43
in
14:43
doing
14:44
that,
14:44
you
14:44
know,
14:44
provided
14:45
they
14:45
continue
14:45
to
14:46
show
14:46
that
14:46
they've
14:46
got
14:46
the
14:46
tech
14:46
chops
14:47
to
14:47
make
14:47
it
14:47
happen.
14:48
And
14:48
they
14:49
have.
14:49
Who
14:50
knew,
14:50
Chris?
14:51
Who
14:52
knew?
14:53
Hey,
14:53
it's
14:53
working
14:53
already,
14:54
man.
14:54
It's
14:54
working
14:55
already.
14:55
All
14:55
right,
14:56
let's
14:56
go
14:56
on
14:56
to
14:56
headline
14:56
number
14:57
three.
14:57
Dollar
14:58
General
14:58
is
14:58
teaming
14:59
up
14:59
with
14:59
Kathy
14:59
Ireland
15:00
for
15:00
a
15:00
new
15:00
celebrity
15:01
homeline.
15:02
According
15:02
to
15:02
Chain
15:02
Storage
15:03
Again,
15:03
the
15:03
discount
15:04
retailer
15:04
is
15:04
revamping
15:05
its
15:05
quote,
15:05
Home
15:06
Valley,
15:07
end
15:07
quote
15:07
home
15:07
selection
15:08
with
15:08
collections
15:09
from
15:09
celebrities,
15:10
name
15:10
brands
15:10
and
15:11
designers,
15:11
including
15:12
supermodel
15:13
Kathy
15:13
Ireland,
15:14
Betsyville,
15:15
Beverly
15:15
Hills
15:16
Polo
15:16
Club
15:16
and
15:17
Simply
15:17
Belle
15:18
by
15:18
Simply
15:18
Southern.
15:19
Launching
15:20
during
15:20
summer
15:20
of
15:21
2025
15:21
across
15:22
more
15:22
than
15:22
$20,000
15:23
general
15:23
stores,
15:24
the
15:24
expanded
15:24
Home
15:25
Valley
15:25
collections
15:26
is
15:26
designed
15:27
to
15:27
appeal
15:27
to
15:27
shoppers
15:28
seeking
15:28
quality
15:29
items
15:29
at
15:29
affordable
15:30
prices
15:30
from
15:30
recognizable
15:31
national
15:32
brands
15:33
through
15:33
a
15:33
quote,
15:33
treasure
15:34
hunt,
15:35
end
15:35
quote
15:35
experience.
15:36
Chris,
15:36
what
15:37
do
15:37
you
15:37
think
15:37
of
15:37
Dollar
15:38
General
15:38
moving
15:38
into
15:39
private
15:39
label
15:40
home
15:40
goods?
15:41
Wow.
15:42
I
15:42
like
15:42
this
15:42
one
15:42
too,
15:43
Anne.
15:43
I'm
15:43
okay
15:44
on
15:44
the
15:44
likes.
15:45
So
15:45
all
15:45
those
15:45
people
15:45
that
15:45
call
15:46
me
15:46
a
15:46
hater
15:46
on
15:46
YouTube,
15:47
you
15:47
know,
15:47
check
15:47
us
15:48
out
15:48
more
15:48
regularly,
15:48
folks.
15:50
Yeah,
15:51
I'm
15:51
hitting
15:51
you
15:51
trolls.
15:52
Yeah.
15:52
All
15:52
right.
15:53
But
15:53
I
15:53
like
15:53
this
15:53
for
15:54
two
15:54
reasons.
15:54
One,
15:54
the
15:55
margin
15:55
on
15:55
home
15:55
is,
15:56
is
15:56
good.
15:56
Yeah.
15:56
Like
15:57
probably
15:57
better
15:57
than
15:57
most
15:58
things
15:58
that
15:58
Dollar
15:58
General
15:59
sells.
15:59
So
15:59
that.
16:00
But
16:00
secondly,
16:01
I
16:01
think
16:01
strategically,
16:02
as
16:02
we've
16:02
talked
16:02
about
16:03
on
16:03
this
16:03
show
16:03
numerous
16:04
times,
16:05
things
16:05
always
16:05
move
16:06
to
16:06
the
16:06
lowest
16:06
price
16:06
option.
16:07
So.
16:08
Kathy
16:08
Ireland,
16:08
little
16:09
background
16:09
for
16:09
me.
16:09
Kathy
16:10
Ireland.
16:10
Oh,
16:10
my
16:10
God.
16:11
Where
16:11
are
16:11
we
16:11
Going
16:11
with
16:11
this.
16:12
Kathy
16:12
island
16:12
was
16:12
the
16:13
it
16:13
girl
16:13
for
16:13
me.
16:14
Oh
16:14
yeah,
16:14
like,
16:15
absolutely.
16:16
And
16:16
it
16:16
was
16:16
funny
16:16
because
16:17
when
16:17
I
16:17
was
16:17
heading
16:17
up
16:18
home
16:18
for
16:18
Target.com
16:19
I
16:19
would
16:19
get
16:19
pitched
16:19
her
16:20
stuff
16:20
every
16:21
day
16:21
of
16:21
the
16:21
week
16:22
and
16:22
I'd
16:22
be
16:22
like,
16:23
no,
16:23
no.
16:23
As
16:24
much
16:24
as
16:24
I
16:24
wanted
16:24
to
16:24
meet
16:25
her,
16:25
I
16:25
couldn't
16:25
be
16:26
like,
16:26
like,
16:26
no,
16:26
I
16:27
just
16:27
can't
16:27
because
16:27
it
16:27
just
16:28
didn't
16:28
fit
16:28
with
16:28
us
16:28
in
16:29
the
16:29
brand.
16:29
That's
16:29
very
16:29
good
16:30
of
16:30
you.
16:30
Right.
16:30
You
16:30
could
16:31
have
16:31
been
16:31
like,
16:31
come
16:31
in
16:31
for
16:32
the
16:32
meeting.
16:32
For
16:32
sure
16:32
I
16:33
could
16:33
have.
16:33
But
16:33
I
16:33
didn't.
16:33
I
16:33
was
16:34
because
16:34
like
16:34
I
16:34
couldn't
16:34
take
16:34
myself.
16:36
Cover
16:36
model
16:37
1991.
16:39
This
16:39
is
16:39
the
16:40
whole
16:40
reason
16:40
I
16:40
watched
16:40
that
16:40
movie.
16:41
But
16:41
anyway
16:41
I
16:41
didn't
16:42
do
16:42
it.
16:42
And
16:43
so
16:43
like,
16:43
and
16:43
the
16:43
reason
16:43
was
16:43
because
16:44
it
16:44
didn't
16:44
fit
16:44
in
16:44
my
16:44
brand
16:44
ethos.
16:45
But
16:45
I
16:45
think
16:45
at
16:46
the
16:46
time,
16:46
and
16:46
I
16:46
don't,
16:46
I
16:47
don't
16:47
remember
16:47
exactly
16:47
but
16:47
like
16:48
Walmart,
16:48
I
16:48
think
16:48
she
16:49
was
16:49
at
16:49
Walmart
16:49
or
16:49
she
16:49
was
16:49
at
16:50
one
16:50
of
16:50
those.
16:50
Kmart.
16:50
Kmart,
16:51
one
16:51
of
16:51
those.
16:52
And
16:53
you
16:53
know,
16:53
so
16:53
she
16:54
has
16:54
a
16:54
position
16:54
in
16:55
the
16:55
marketplace
16:56
and
16:56
so
16:56
naturally
16:57
now
16:57
she's
16:57
just,
16:57
you
16:57
know,
16:58
moving,
16:58
you
16:59
know,
16:59
down
16:59
market
16:59
a
17:00
little
17:00
bit.
17:00
Which
17:00
again
17:01
goes
17:01
back
17:01
to
17:02
the
17:02
idea
17:02
of
17:02
like
17:02
okay,
17:03
over
17:03
time.
17:04
I
17:04
think
17:04
we've
17:04
talked
17:04
about
17:04
this
17:05
on
17:05
the
17:05
show
17:05
in
17:05
the
17:05
past.
17:05
I
17:05
see
17:06
Dollar
17:06
General
17:06
becoming
17:07
a
17:07
one
17:08
stop
17:08
shop.
17:08
Yeah.
17:09
For
17:09
an
17:10
even
17:10
better,
17:10
you
17:11
know,
17:11
at
17:11
even
17:11
lower
17:12
prices
17:12
than
17:12
what
17:13
Walmart
17:13
or
17:13
Target
17:13
could
17:14
potentially
17:14
do.
17:14
Which
17:15
is
17:15
just
17:15
basically
17:15
Clayton's
17:16
Clayton
17:16
Christensen
17:17
theory
17:17
of
17:18
competitive
17:18
dynamics.
17:19
Ultimately
17:19
the
17:19
end
17:19
of
17:20
the
17:20
day.
17:20
So,
17:20
so
17:20
I
17:20
like
17:21
this
17:21
move.
17:21
I
17:21
think
17:21
it's
17:22
smart
17:22
and
17:22
I
17:22
think,
17:22
you
17:22
know,
17:23
the
17:23
devil's
17:23
in
17:23
the
17:24
details
17:24
in
17:24
terms
17:24
of
17:24
how
17:24
you
17:25
execute
17:25
it
17:25
and
17:25
how
17:26
you
17:26
replenish
17:27
it
17:27
and
17:27
how
17:27
you
17:27
buy
17:27
the
17:28
inventory
17:28
correctly.
17:28
Because
17:29
there
17:29
are
17:29
some
17:29
different
17:29
dynamics
17:30
there
17:30
to
17:30
running
17:30
like
17:31
the
17:31
day
17:31
to
17:31
day,
17:32
you
17:32
know,
17:32
things
17:32
you'd
17:32
find
17:33
in
17:33
the
17:33
Dollar
17:33
General.
17:33
But
17:34
net
17:34
net.
17:34
I
17:34
think
17:34
it's
17:35
smart.
17:35
Yeah.
17:36
I,
17:36
I
17:36
don't
17:37
mean
17:37
to
17:37
burst
17:37
your
17:38
bubble.
17:38
All
17:38
the
17:39
90s
17:39
men
17:40
who
17:40
were
17:40
in
17:41
love
17:41
with
17:41
Kathy
17:41
Ireland
17:42
and
17:42
women
17:43
and
17:43
my
17:44
brother
17:44
included
17:45
amongst
17:45
those,
17:45
he
17:45
loved
17:46
Kathy
17:46
Ireland
17:46
too.
17:47
But,
17:47
but
17:48
I
17:48
don't
17:48
think
17:48
it
17:49
with
17:49
her
17:49
Betsy
17:50
Ville,
17:50
any
17:51
of
17:51
these,
17:51
Betsy
17:51
Johnson,
17:52
I
17:52
don't,
17:52
I
17:52
don't
17:52
think
17:53
those
17:53
brands
17:53
are
17:53
still
17:54
relevant.
17:54
I
17:54
think
17:54
what
17:55
this
17:55
does,
17:56
what
17:56
does
17:56
matter
17:57
about
17:57
this
17:57
is
17:57
that
17:58
they
17:58
are
17:58
focusing
17:58
on
17:59
designing
17:59
a
18:00
high
18:00
quality
18:00
product
18:01
or
18:01
a,
18:02
even
18:02
just
18:02
a
18:03
high
18:03
designed
18:04
product.
18:04
I
18:04
don't
18:05
think
18:05
it
18:05
matters
18:05
who
18:05
the
18:06
celebrity
18:06
is
18:06
that's
18:07
attached
18:07
to
18:07
it
18:08
because
18:08
I
18:09
don't
18:09
think
18:09
that
18:09
those
18:09
names
18:10
have
18:10
the
18:10
cachet
18:10
anymore
18:11
that
18:11
they
18:11
used
18:12
to
18:12
back,
18:13
you
18:13
know,
18:13
15,
18:14
20
18:14
years
18:14
ago
18:15
even.
18:16
But
18:16
I
18:16
think
18:16
that
18:17
what
18:17
we've
18:17
heard
18:17
both
18:18
from
18:18
Dollar
18:18
Tree
18:18
and
18:18
Dollar
18:19
General
18:19
this
18:19
week
18:20
is
18:20
that
18:20
they
18:20
are
18:20
att,
18:21
a
18:21
higher
18:21
income
18:22
shopper.
18:22
And
18:22
I
18:23
think
18:23
that's
18:23
to
18:23
your
18:24
earlier
18:24
point
18:24
where
18:24
this
18:25
comes
18:25
in
18:25
like,
18:25
yes,
18:26
there
18:26
is
18:26
a
18:26
demand
18:26
for
18:27
a
18:27
high
18:27
design
18:28
quality
18:29
product
18:29
at
18:30
a
18:30
lower
18:30
price
18:31
point.
18:31
And
18:32
that's
18:32
why
18:32
I
18:33
think
18:33
Dollar
18:33
General
18:34
and
18:34
Dollar
18:34
Tree
18:35
here
18:35
are
18:35
going
18:35
to
18:35
really
18:36
win
18:36
with
18:36
that
18:36
higher
18:37
consumer
18:37
because
18:37
they
18:38
are
18:38
investing
18:38
in
18:38
things
18:39
like
18:39
this
18:39
that
18:39
have
18:39
smart
18:40
margins
18:40
behind
18:41
them,
18:41
like
18:41
you
18:41
said.
18:42
So
18:42
I,
18:43
I
18:43
don't
18:43
know
18:44
that
18:45
it's
18:45
going
18:46
to
18:46
be
18:46
that
18:47
they're
18:47
going
18:47
to
18:47
be
18:47
the
18:47
ones
18:48
that,
18:48
that
18:48
are
18:48
going
18:48
to
18:48
be
18:48
drawing
18:49
all
18:49
the
18:49
traffic.
18:49
Interesting.
18:50
Interesting.
18:50
I,
18:51
I,
18:51
I
18:51
don't
18:51
know.
18:51
I
18:51
kind
18:51
of
18:51
disagree
18:52
with
18:52
that
18:52
a
18:52
little
18:52
bit
18:52
because
18:53
I
18:53
think
18:53
everyone
18:53
wants
18:54
to
18:54
be
18:54
aspirational.
18:54
And
18:55
there
18:55
probably
18:55
were
18:55
people
18:55
that
18:56
were
18:56
aspiring
18:56
to
18:57
some
18:57
of
18:57
these
18:57
brands
18:57
back
18:58
in
18:58
the
18:58
day
18:58
when
18:58
they
18:58
were
18:58
at
18:59
their
18:59
height
18:59
and
19:00
they
19:00
couldn't
19:00
afford
19:00
them.
19:00
And
19:01
now
19:01
if
19:01
Dollar
19:01
General
19:01
plays
19:02
a
19:02
card
19:02
drive,
19:02
they
19:02
can
19:03
make
19:03
them
19:03
at
19:03
an
19:03
affordable
19:04
price.
19:04
And
19:04
it's
19:04
always
19:05
just
19:05
square
19:05
one,
19:05
right?
19:06
It's,
19:06
you're
19:06
starting
19:07
out
19:07
and
19:07
then
19:07
it's
19:07
going
19:07
to
19:07
evolve
19:08
over
19:08
time
19:08
and
19:08
they
19:08
have
19:08
to
19:09
get
19:09
someone
19:09
to
19:09
buy
19:09
into
19:09
this
19:10
idea
19:10
to
19:11
begin
19:11
with.
19:11
So,
19:12
so
19:12
that's
19:12
why
19:12
I
19:12
think,
19:13
you
19:13
know,
19:13
for
19:13
the
19:13
most
19:14
part,
19:14
if
19:14
you're
19:14
going
19:14
to
19:14
take
19:14
this
19:14
strategy,
19:15
it
19:15
seems
19:15
like
19:15
a,
19:16
seems
19:16
like
19:16
a
19:16
good
19:16
way
19:17
to
19:17
go
19:17
about
19:17
it.
19:18
Okay,
19:18
you
19:18
want
19:18
to
19:19
keep
19:19
moving?
19:19
Let's
19:19
do
19:19
it.
19:20
All
19:20
right,
19:20
Amazon,
19:21
headline
19:21
number
19:22
four.
19:22
Amazon
19:23
is
19:23
reportedly.
19:23
Oh
19:24
my
19:24
God.
19:24
Training
19:25
humanoid
19:26
robots
19:26
to
19:27
deliver
19:27
packages,
19:28
folks.
19:28
According
19:29
to
19:29
the
19:29
Verge,
19:30
not
19:31
to
19:31
be
19:31
confused
19:31
with
19:32
the
19:32
criminally
19:32
underrated
19:33
brand
19:33
band
19:34
the
19:35
Verge,
19:35
the
19:36
Verve,
19:36
the
19:37
verb.
19:37
I
19:37
still
19:37
screwed
19:38
that
19:38
up.
19:38
And
19:38
it's
19:38
my
19:38
favorite
19:39
line
19:39
read
19:39
of
19:39
all
19:40
time.
19:40
I
19:40
know,
19:40
and
19:40
I
19:40
screwed
19:41
it
19:41
up.
19:41
I
19:41
know
19:41
I
19:42
screwed
19:42
it
19:42
up.
19:42
I
19:42
look
19:42
forward
19:43
to
19:43
every
19:43
week
19:43
when
19:44
we
19:44
get
19:44
a
19:44
Verge
19:45
headline.
19:45
And
19:45
I
19:45
screwed
19:46
it.
19:46
All
19:46
right.
19:46
Sorry,
19:47
folks.
19:48
Amazon
19:48
is
19:48
developing
19:48
AI
19:49
software
19:49
that
19:49
will
19:50
enable
19:50
robots
19:50
to
19:51
operate
19:51
as
19:51
package
19:52
delivery
19:52
workers
19:52
that
19:53
are
19:53
ferried
19:53
around
19:53
in
19:54
Rivian
19:54
electric
19:55
vans
19:55
and
19:55
will
19:56
soon
19:56
be
19:56
ready
19:56
to
19:56
start
19:57
real
19:57
world
19:57
testing
19:58
at
19:58
a
19:58
new
19:59
facility,
20:00
citing
20:00
a
20:01
norm,
20:01
citing
20:02
an
20:02
anonymous
20:03
source
20:04
that
20:04
was,
20:04
quote,
20:05
involved
20:05
in
20:06
the
20:06
effort,
20:06
end
20:07
quote.
20:07
The
20:07
information
20:08
also
20:08
says
20:08
that
20:09
Amazon
20:09
has
20:09
almost
20:09
finished
20:10
constructing
20:10
an
20:11
indoor,
20:11
quote,
20:12
humanoid
20:12
park
20:13
at
20:14
one
20:14
of
20:14
the
20:14
retail
20:14
giant
20:15
San
20:15
Francisco
20:15
offices
20:16
that's
20:17
roughly
20:17
the
20:17
size
20:17
of
20:18
a
20:18
coffee
20:18
shop.
20:18
Oh,
20:19
my
20:19
God.
20:19
The
20:19
obstacle
20:20
course
20:20
reportedly
20:21
contains
20:21
one
20:22
Rivian
20:22
van
20:22
for
20:23
training
20:23
purposes.
20:24
With
20:24
Amazon
20:25
aiming
20:25
to
20:25
have
20:25
humanoid
20:26
robots
20:27
Quote
20:28
hitch
20:28
a
20:28
ride
20:28
in
20:29
the
20:29
back
20:29
of
20:29
Amazon's
20:30
electric
20:30
Rivian
20:31
vans
20:31
and
20:31
spring
20:31
out
20:32
to
20:32
deliver
20:33
packages.
20:33
End
20:33
quote.
20:34
Humanoid
20:35
robots
20:35
delivering
20:35
packages.
20:36
Ann,
20:36
is
20:36
this
20:37
yet
20:37
another
20:37
sign
20:38
that
20:38
the
20:38
apocalypse
20:39
is
20:39
near?
20:39
No,
20:40
not
20:40
yet.
20:41
Not
20:41
yet,
20:41
No.
20:42
I
20:42
think
20:42
that,
20:42
why
20:43
I
20:43
think
20:43
they,
20:43
there's
20:43
still
20:44
so
20:44
much
20:44
experimentation
20:45
to
20:45
be
20:46
done
20:46
in
20:47
the
20:47
world
20:47
of
20:48
robots
20:48
and
20:48
robot
20:49
delivery.
20:50
I
20:50
mean,
20:50
I
20:50
think
20:51
you
20:51
also
20:51
look
20:52
at
20:52
this
20:52
as
20:52
you're
20:53
in
20:53
a
20:53
perfect
20:53
environment.
20:54
You're
20:54
in
20:54
a
20:54
San
20:55
Francisco
20:55
parking
20:56
lot
20:56
where
20:56
the
20:56
weather
20:57
is
20:57
pretty
20:58
expected,
20:59
we'll
20:59
say,
20:59
or
20:59
that
21:00
they,
21:00
they
21:00
can
21:00
anticipate
21:01
the
21:01
conditions.
21:02
And
21:02
robots
21:03
work
21:03
really
21:03
well
21:03
when
21:04
they're
21:04
in
21:04
a
21:04
controlled
21:05
environment.
21:05
But
21:06
unfortunately
21:06
the
21:07
real
21:07
world,
21:07
you
21:08
know,
21:08
apartments
21:09
in
21:09
the
21:09
middle
21:09
of
21:09
urban
21:10
cities
21:10
like
21:11
this,
21:11
that's
21:11
not
21:12
a
21:12
controlled
21:12
environment.
21:14
Especially,
21:14
I
21:14
mean,
21:15
even
21:15
with
21:15
the
21:15
stuff
21:15
going
21:15
on
21:16
in
21:16
the
21:16
country
21:16
right
21:16
now.
21:16
Like
21:17
you
21:17
do
21:17
you
21:17
see
21:17
the
21:17
Waymo
21:18
taxis
21:19
we're
21:19
getting?
21:19
Like,
21:20
you
21:20
just,
21:20
you
21:21
don't
21:21
know,
21:21
like
21:22
there's
21:22
no
21:22
like
21:23
default
21:23
button
21:23
of
21:24
like,
21:24
we
21:24
gotta
21:24
get
21:24
the
21:24
heck
21:25
out
21:25
of
21:25
here.
21:25
Right.
21:25
So
21:26
anyway,
21:26
I
21:26
think
21:27
that
21:27
yes,
21:27
robots,
21:29
drones,
21:29
even
21:30
like
21:30
Walmart
21:30
announced
21:31
this
21:31
week
21:31
that
21:31
they're
21:31
testing
21:32
drones
21:32
in
21:32
five
21:32
more
21:33
cities.
21:33
Like,
21:33
I
21:34
still
21:34
think
21:34
we're
21:34
in
21:34
heavy
21:35
experimentation
21:36
level
21:37
of
21:38
robotics
21:38
and
21:38
of
21:39
drone
21:39
delivery.
21:40
I
21:40
think
21:40
we're
21:40
still
21:41
several
21:41
years
21:41
out
21:42
before
21:42
we
21:42
start
21:42
actually
21:43
seeing
21:43
this
21:44
kind
21:44
of,
21:44
of
21:45
proliferate
21:45
throughout
21:46
the
21:46
rest
21:46
of
21:46
the
21:46
country.
21:47
So.
21:47
Night
21:47
night.
21:47
You
21:48
think
21:48
this
21:48
is
21:48
either
21:48
like
21:48
a
21:49
PR
21:49
sizzle
21:49
or
21:50
like
21:50
a
21:50
scary
21:50
story
21:51
designed
21:51
or
21:52
a
21:52
headline
21:52
designed
21:52
to
21:52
be
21:53
kind
21:53
of
21:53
a
21:53
scary,
21:53
you
21:54
know,
21:54
I
21:54
think
21:54
clickbait
21:55
story.
21:55
Yeah,
21:55
I
21:56
mean,
21:56
I
21:56
think
21:56
clickbait.
21:57
But
21:57
I
21:57
mean
21:57
I
21:58
do
21:58
think
21:58
we're
21:58
get
21:59
you,
21:59
you
21:59
have
21:59
to
22:00
figure
22:00
this
22:00
out,
22:00
you
22:00
have
22:01
to
22:01
trial
22:01
and
22:01
error
22:02
this
22:02
as
22:02
much
22:02
as
22:02
you
22:02
can
22:03
before
22:03
you
22:03
get
22:04
to
22:04
the
22:04
point
22:04
where
22:04
we
22:04
can
22:05
do
22:05
this.
22:05
But
22:06
I
22:06
just
22:06
think
22:06
we're
22:06
going
22:06
to
22:07
see
22:07
robotics
22:07
being
22:07
used
22:08
for
22:08
so
22:08
many
22:08
other
22:08
things
22:09
that
22:09
are
22:09
in
22:10
controlled
22:10
environments
22:11
before
22:11
we
22:11
start
22:11
seeing
22:12
them
22:12
let
22:12
loose
22:12
on
22:12
the
22:13
streets
22:13
of
22:13
the
22:13
United
22:13
States.
22:14
Well,
22:14
and
22:14
it's
22:14
not
22:14
as
22:14
a
22:15
controlled
22:15
environments
22:15
too.
22:15
I
22:16
mean
22:16
that'
22:16
part
22:16
of
22:16
it
22:16
in
22:16
terms
22:17
of
22:17
the
22:17
testing,
22:17
but
22:17
it's
22:17
also
22:18
robots
22:18
are
22:18
best
22:18
at
22:19
doing
22:19
the
22:19
same
22:19
thing
22:19
over
22:20
and
22:20
over
22:20
again.
22:20
So
22:21
your
22:21
point
22:21
about
22:21
drones
22:21
is
22:21
really
22:22
good
22:22
too,
22:22
because
22:22
that
22:22
is
22:23
the
22:23
same
22:23
thing
22:23
over
22:23
and
22:23
over
22:24
again.
22:24
And
22:24
we're
22:24
only
22:24
seeing
22:25
that.
22:25
We're
22:26
not
22:26
even
22:26
seeing
22:26
those
22:26
quote
22:27
unquote,
22:27
get
22:27
off
22:27
the
22:27
ground,
22:28
for
22:28
lack
22:28
of
22:28
a
22:28
better
22:28
way
22:29
to
22:29
put
22:29
it.
22:29
Yeah,
22:30
yeah,
22:30
I'm
22:30
with
22:30
you.
22:31
I
22:31
don't,
22:31
I
22:31
mean,
22:31
I
22:32
kind
22:32
of,
22:32
I
22:32
kind
22:32
of
22:33
poo
22:33
pooed
22:33
the
22:33
the,
22:34
the
22:34
arm,
22:35
the
22:35
arm
22:36
wielding
22:36
robot
22:36
in
22:37
the
22:37
warehouse
22:37
and
22:37
said
22:37
we're
22:38
probably
22:38
10
22:38
to
22:38
20
22:38
years
22:39
out
22:39
from
22:39
seeing
22:39
that
22:40
thing
22:40
fully
22:40
deployed.
22:41
So.
22:41
Yeah,
22:41
I'm
22:41
with
22:41
you
22:41
on
22:42
this
22:42
one.
22:42
The
22:42
funny
22:42
thing
22:43
for
22:43
me
22:43
at
22:43
is
22:43
like,
22:43
I
22:44
can't
22:44
even
22:44
imagine
22:44
the
22:44
societal
22:45
impacts
22:45
of
22:45
this
22:46
if
22:46
like
22:46
I'm
22:47
in,
22:47
you
22:47
know,
22:47
a
22:48
relative.
22:48
I
22:48
just
22:48
keep
22:49
thinking
22:49
of
22:49
like
22:49
the
22:49
woman
22:50
from
22:50
like
22:50
something
22:51
about
22:51
Mary,
22:51
the
22:51
old
22:52
lady.
22:52
Magda.
22:52
Magda.
22:53
If
22:53
she's
22:53
sitting
22:54
in
22:54
her
22:54
apartment
22:54
and
22:54
she
22:55
sees
22:55
like
22:55
a
22:55
Terminator
22:56
robot
22:57
coming
22:57
down
22:57
the
22:57
hallway
22:58
carrying
22:58
a
22:58
package.
22:59
Oh
22:59
my
22:59
God,
22:59
imagine
23:00
the
23:00
freak
23:00
out
23:00
scale
23:01
this
23:01
would
23:01
create.
23:02
Sort
23:02
of.
23:02
I
23:03
thought
23:03
that,
23:03
but
23:03
then
23:04
I.
23:04
We
23:04
were
23:04
at
23:05
the
23:05
Barcelona
23:05
airport
23:06
and
23:06
they
23:06
have
23:06
autonomous
23:07
wheelchairs
23:07
that
23:08
are
23:08
driving
23:08
people
23:08
to
23:09
gates
23:09
and
23:10
there
23:10
is
23:10
tons
23:10
of
23:10
elderly
23:11
people
23:11
sitting
23:11
in
23:11
those.
23:12
And
23:12
I'm
23:12
like,
23:12
like,
23:13
maybe
23:13
they're
23:13
okay
23:14
with
23:14
it.
23:14
I
23:14
don't
23:14
know.
23:15
We
23:15
didn't
23:15
see
23:15
like
23:16
a
23:16
bald
23:16
robot.
23:17
That's
23:17
true.
23:19
Oh,
23:19
I,
23:19
I
23:20
was
23:20
even
23:20
thinking
23:21
like
23:21
the
23:21
dinosaur
23:22
like
23:22
dog
23:22
looking
23:23
ones,
23:23
like
23:23
they'd
23:23
be
23:24
like
23:24
those
23:24
kinds
23:25
of
23:25
things.
23:25
I'd
23:26
be
23:26
like,
23:26
okay,
23:26
it's
23:27
not
23:27
like
23:27
coming
23:27
to
23:27
get
23:27
me.
23:27
Oh
23:28
my
23:28
God.
23:28
I.
23:28
Yeah,
23:28
I
23:28
didn't
23:29
even
23:29
think
23:29
of
23:29
the
23:29
human
23:30
and
23:30
I
23:30
actually
23:31
robot,
23:31
like.
23:31
The
23:31
pictures
23:32
are
23:32
like
23:32
humanoid,
23:33
you
23:33
know.
23:33
That's
23:34
true,
23:34
that's
23:34
true.
23:34
That
23:35
is
23:35
not
23:35
something
23:36
that.
23:36
I
23:37
don't
23:37
think
23:37
we're
23:37
ready
23:37
for
23:37
that
23:38
as
23:38
a
23:38
society.
23:39
No,
23:39
I
23:39
just,
23:40
I
23:40
don't.
23:40
There's
23:41
a
23:41
lot
23:41
of
23:41
generations
23:41
that
23:42
live
23:42
in
23:42
society.
23:43
But
23:43
anyway,
23:43
let's
23:43
keep
23:44
rol.
23:44
All
23:44
right,
23:44
let's
23:45
go
23:45
on
23:45
to
23:45
headline
23:46
number
23:46
five.
23:46
Chris
23:47
Peloton
23:47
is
23:47
launching
23:48
a
23:48
resale
23:48
market
23:49
for
23:49
used
23:50
bikes
23:50
and
23:50
treadmills.
23:51
According
23:51
to
23:51
cnbc,
23:52
Peloton
23:52
has
23:53
launched
23:53
its
23:53
own
23:53
secondary
23:54
marketplace
23:55
called
23:55
Repowered
23:56
to
23:56
get
23:56
a
23:56
slice
23:57
of
23:57
the
23:57
burgeoning
23:57
resale
23:58
market
23:58
for
23:58
connected
23:59
fitness
23:59
equipment.
24:00
Beginning
24:01
last
24:01
Tuesday,
24:01
people
24:02
in
24:02
select
24:02
cities
24:03
can
24:03
now
24:03
list
24:03
their
24:04
equipment
24:04
and
24:04
gear
24:05
for
24:05
sale
24:05
and
24:05
Repowered
24:06
and
24:06
set
24:06
their
24:06
own
24:07
price.
24:07
With
24:07
the
24:07
help
24:07
of
24:08
a
24:08
generative
24:08
AI
24:08
tool.
24:09
Sellers
24:10
will
24:10
get
24:10
get
24:10
70%
24:11
of
24:12
the
24:12
sale
24:12
price
24:12
and
24:12
the
24:13
rest
24:13
will
24:13
be
24:13
shared
24:14
between
24:14
Peloton
24:14
and
24:15
the
24:15
platform
24:16
provider
24:16
Archive.
24:17
Repowered
24:18
is
24:18
launching
24:18
first
24:19
in
24:19
beta
24:19
in
24:20
New
24:20
York
24:20
City,
24:20
Boston
24:21
and
24:21
Washington
24:21
D.C.
24:22
with
24:22
plans
24:22
to
24:22
go
24:22
nationwide
24:23
in
24:23
the
24:23
coming
24:24
months,
24:24
Peloton
24:24
said.
24:25
Chris,
24:25
this
24:26
is
24:26
also
24:26
the
24:26
A
24:27
and
24:27
M
24:27
Put
24:27
yout
24:27
on
24:27
the
24:28
Spot
24:28
question
24:29
A
24:29
and
24:29
M
24:30
wants
24:30
to
24:30
know,
24:30
is
24:30
skipping
24:31
the
24:31
heavy
24:31
lifting
24:32
worth
24:32
the
24:32
30%
24:33
selling
24:33
fee
24:34
or
24:34
will
24:34
Peloton
24:35
fanatics
24:36
stick
24:36
to
24:36
using
24:36
other
24:37
places
24:38
for
24:38
selling
24:38
their
24:39
products
24:39
like
24:39
Facebook
24:40
Marketplace?
24:41
Interesting,
24:42
interesting
24:42
question.
24:43
I
24:43
think,
24:43
yeah,
24:44
I
24:44
think
24:44
it's
24:44
probably
24:44
worth
24:44
it.
24:45
I
24:45
think
24:45
there's
24:46
a,
24:46
there's
24:46
a
24:47
segment
24:47
of
24:47
the
24:47
population
24:48
where
24:48
if
24:48
they're
24:48
in
24:48
this,
24:49
they're
24:49
going
24:49
to
24:49
want
24:49
the
24:50
extra
24:50
validity
24:51
that
24:51
doing
24:51
it
24:51
through
24:52
the
24:52
Peloton
24:52
platform
24:53
provides.
24:53
Like
24:54
a
24:54
certified
24:54
pre
24:54
owned
24:55
situation,
24:55
that
24:55
kind
24:56
of
24:56
thing.
24:56
You
24:56
know.
24:56
You
24:57
know,
24:57
especially
24:57
when
24:57
you
24:57
think
24:58
about,
24:58
you
24:58
know,
24:58
who
24:58
the
24:59
average
24:59
demographic
25:00
is
25:00
of
25:00
the
25:00
current
25:01
Peloton
25:01
holder.
25:02
Yep.
25:03
Or
25:03
owner.
25:04
The
25:04
thing
25:05
I
25:05
would
25:05
say
25:05
about
25:05
this
25:05
though,
25:06
as
25:06
much
25:06
as
25:06
I
25:07
think
25:07
as
25:07
much
25:07
as
25:07
you,
25:08
as
25:09
I
25:09
think
25:09
when
25:09
reading
25:10
the
25:10
headline.
25:10
I
25:11
wanted
25:11
to
25:12
like
25:12
this
25:12
headline.
25:13
Yeah.
25:13
I
25:13
think
25:13
I'm
25:14
a
25:14
little
25:14
cautious
25:14
on
25:14
this.
25:15
Like
25:15
I
25:15
think
25:15
I
25:15
would,
25:15
my
25:16
thing
25:16
would
25:16
be
25:16
I
25:17
would
25:17
go
25:17
very
25:17
slowly
25:18
with
25:18
this.
25:19
It's
25:19
only
25:19
in
25:19
select
25:20
cities
25:20
right
25:20
now
25:20
as
25:20
you
25:21
mentioned
25:21
and
25:21
I
25:22
think
25:22
the
25:22
dynamics
25:23
of,
25:23
you
25:23
know,
25:24
making
25:24
this
25:24
successful
25:25
in
25:25
places
25:25
like
25:26
Boston
25:26
and
25:26
New
25:26
York
25:27
City
25:27
are
25:27
very
25:27
different
25:28
than
25:28
a
25:28
nationwide
25:29
rollout
25:29
which
25:29
they're
25:30
already
25:30
saying
25:30
they're
25:30
going
25:30
to
25:30
do.
25:31
So
25:31
that
25:31
worries
25:32
me
25:32
a
25:32
lot.
25:32
Especially
25:32
given
25:33
Peloton's
25:33
operational
25:34
track
25:34
record.
25:34
Record.
25:35
Right.
25:35
Because
25:35
the
25:35
dynamics
25:36
of
25:36
delivering
25:36
those
25:36
cities
25:37
are
25:37
very
25:37
different
25:37
than
25:37
say
25:37
Yuba
25:38
City,
25:38
California,
25:39
shout
25:39
out
25:39
to
25:39
my
25:39
friends
25:40
in
25:40
Yuba
25:40
City,
25:41
which
25:41
I
25:42
do
25:42
have.
25:43
So
25:43
that,
25:43
that's
25:43
the
25:44
one
25:44
caveat
25:44
here.
25:44
I'd
25:44
say,
25:45
I'd
25:45
say
25:45
good
25:45
idea.
25:46
But
25:46
I
25:47
would
25:47
go
25:47
slower
25:48
at
25:48
this
25:48
than
25:48
you're,
25:49
you're
25:49
reporting
25:49
to.
25:50
Especially
25:50
when
25:50
you're
25:51
dropping
25:51
things
25:51
like
25:51
AI
25:51
into
25:52
this
25:52
headline
25:52
too.
25:52
It
25:53
makes
25:53
me
25:53
think
25:53
you're
25:53
trying
25:53
to
25:53
gin
25:54
up
25:54
some,
25:54
some
25:54
excitement
25:55
about
25:55
anyone.
25:56
Anyone
25:56
who's
25:56
used
25:56
any
25:57
resale
25:57
platform
25:58
realizes
25:59
that
25:59
whether
25:59
you're
26:00
reselling
26:00
like
26:01
you
26:01
know,
26:01
video
26:02
games
26:02
or
26:03
clothing,
26:03
like
26:03
everybody,
26:04
they,
26:04
it
26:04
automatically
26:06
uses
26:06
generative
26:07
AI
26:07
to
26:07
give
26:07
you
26:08
a
26:08
suggested
26:08
price
26:09
for
26:09
your
26:09
product.
26:10
An
26:10
algorithm.
26:11
Yes,
26:11
exactly.
26:13
So
26:13
yes,
26:13
that's
26:13
for
26:14
sure
26:14
sizzle.
26:14
But
26:15
I
26:15
do
26:15
think
26:15
that
26:15
there's
26:16
some
26:16
opportunity
26:16
here.
26:17
Yeah,
26:18
you're
26:19
market
26:19
than
26:19
I
26:19
am.
26:19
I.
26:20
Here's
26:20
the,
26:21
here's
26:21
the
26:22
problem
26:22
that
26:22
I
26:22
have
26:22
and
26:23
you
26:23
called
26:23
it
26:23
out
26:24
brilliantly.
26:25
They
26:25
should
26:25
go
26:26
slow
26:26
and
26:26
they
26:26
need
26:27
to
26:27
figure
26:27
out
26:27
exactly
26:28
how
26:29
this
26:29
is
26:29
going
26:29
to
26:29
work.
26:29
As
26:30
someone
26:30
who's
26:30
purchasing
26:30
purchased
26:31
a
26:31
used
26:32
after
26:32
aftermarket
26:33
peloton.
26:34
Is
26:34
that
26:34
what
26:34
you
26:34
call
26:34
them?
26:34
That's
26:35
right.
26:35
Yeah.
26:35
I
26:35
purchased
26:35
one
26:36
on
26:36
Facebook
26:36
Marketplace.
26:37
I
26:37
had
26:37
to
26:37
get
26:38
it
26:38
repaired
26:39
and
26:40
the.
26:40
It
26:41
was
26:41
a
26:41
total
26:41
disaster.
26:42
Total
26:42
disaster.
26:43
Peloton
26:44
essentially
26:44
told
26:44
me
26:45
that
26:45
they,
26:45
that
26:45
I
26:45
should
26:46
just,
26:46
that
26:46
I
26:47
should
26:47
pay
26:47
$1,400
26:49
for
26:49
a
26:49
repair
26:50
that
26:50
I
26:50
needed
26:50
to
26:50
have
26:51
a
26:51
fourteen
26:51
hundred
26:51
dollar
26:51
repair
26:52
kit.
26:52
And
26:52
I
26:52
said
26:53
can
26:53
I
26:53
get
26:53
a
26:53
new
26:54
bike
26:54
for
26:55
like
26:55
$1,500
26:56
brand
26:56
new.
26:57
And
26:57
they
26:57
said.
26:57
Said,
26:58
oh,
26:59
yes.
26:59
And
27:00
the
27:00
guy,
27:00
the
27:01
help,
27:01
like,
27:02
so
27:02
it's
27:02
stuff
27:02
like
27:02
that.
27:03
The
27:03
help
27:03
desk
27:04
guy
27:04
was
27:04
like,
27:04
oh,
27:05
yeah,
27:05
I
27:05
guess
27:05
we'll
27:05
figure
27:06
out
27:06
how
27:06
to
27:06
do
27:06
this.
27:06
And
27:06
so
27:07
I
27:07
would
27:07
just
27:07
caution
27:08
Peloton
27:09
to
27:09
make
27:09
sure
27:09
that
27:09
you
27:10
have
27:10
all
27:10
of
27:10
these
27:10
scenarios
27:11
played
27:11
out
27:12
and
27:12
figured
27:13
out.
27:13
But
27:13
I
27:13
do
27:13
think
27:14
in
27:14
the
27:14
long
27:14
term,
27:15
if
27:15
they
27:15
can
27:15
do
27:16
that,
27:16
there's
27:16
definitely
27:16
money
27:17
to
27:17
be
27:17
made
27:17
with
27:17
extended
27:18
warranty
27:18
programs
27:19
with
27:20
things
27:20
like
27:21
delivery
27:21
services
27:22
and
27:22
keeping
27:22
your
27:23
bike
27:23
drivers
27:23
and
27:23
repair
27:24
people
27:25
employed
27:26
more
27:26
and
27:26
having
27:26
more
27:27
for
27:27
them
27:27
to
27:27
do
27:28
if
27:28
they
27:28
can
27:28
get
27:29
more
27:29
of
27:29
this
27:29
community
27:30
to
27:30
get
27:30
on
27:30
board.
27:31
But
27:31
yeah,
27:31
I
27:32
think
27:32
you're
27:32
right.
27:32
I
27:32
mean,
27:32
as
27:32
you're
27:32
saying
27:32
that
27:33
those
27:33
are
27:33
hard
27:34
businesses
27:34
on
27:34
which
27:34
to
27:35
make
27:35
money,
27:35
the
27:35
delivery
27:36
of
27:36
heavy,
27:36
heavy
27:37
goods
27:37
and
27:37
services
27:38
and.
27:38
And
27:38
that
27:38
type
27:39
of
27:39
repairs,
27:40
hard
27:40
to
27:40
make
27:41
money
27:41
on
27:41
that
27:41
consistently.
27:42
And
27:42
you
27:42
got
27:42
to
27:42
figure
27:42
that
27:42
out.
27:43
So.
27:43
Right.
27:43
Yeah.
27:44
I
27:44
don't
27:44
know.
27:44
So.
27:44
So
27:44
we're
27:45
both
27:45
kind
27:45
of
27:45
like,
27:47
maybe,
27:47
maybe
27:47
not
27:48
on
27:48
this
27:48
one.
27:48
I
27:48
think
27:49
I.
27:49
I
27:49
think
27:49
Peloton's
27:50
track
27:50
record
27:51
isn't
27:51
giving
27:51
me
27:51
a
27:51
lot
27:52
of
27:52
confidence
27:52
that
27:52
this
27:52
is
27:53
going
27:53
to
27:53
be
27:53
able
27:53
to
27:54
be.
27:54
That
27:54
it's
27:54
thought
27:55
through
27:55
enough
27:55
that
27:55
they're
27:55
not
27:56
going
27:56
to
27:56
move
27:56
before
27:56
they're
27:57
ready
27:57
to,
27:58
just
27:58
based
27:58
on
27:58
how
27:58
we've
27:59
seen
27:59
that
27:59
company
28:00
act
28:00
over
28:00
the.
28:01
Wow.
28:02
All
28:03
right,
28:03
Chris,
28:03
let's
28:03
go
28:03
to
28:03
the
28:04
lightning
28:04
round.
28:04
All
28:04
right,
28:05
question
28:05
number
28:05
one.
28:06
In
28:06
commemoration
28:07
of
28:07
the
28:07
Tesco
28:08
Club
28:08
Card's
28:09
30th
28:09
birthday,
28:10
Tesco
28:11
is
28:11
launching
28:12
a
28:12
nightclub
28:13
pop
28:13
up
28:14
for
28:14
the
28:14
55%
28:15
of
28:15
Brits
28:16
surveyed
28:16
who
28:16
feel
28:16
nostalgic
28:17
about
28:17
the
28:18
90s
28:18
and
28:18
early
28:19
aughts.
28:20
Okay.
28:21
What
28:21
club
28:22
from
28:22
the
28:22
90s
28:23
would
28:23
you
28:23
most
28:23
want
28:24
reincarnated?
28:25
Okay.
28:25
Okay.
28:26
That's
28:26
easy,
28:26
Anne.
28:26
And
28:27
the.
28:27
The
28:27
whole,
28:27
like,
28:28
head
28:28
bobbing
28:28
SNL
28:29
skit
28:29
is
28:29
optional.
28:30
Yeah,
28:30
the
28:31
Chris
28:31
Kattan,
28:31
Will
28:32
Ferrell.
28:32
I
28:32
can't
28:32
do
28:32
it.
28:32
I
28:32
can.
28:34
For
28:34
me,
28:34
it's
28:34
easy.
28:34
It's
28:35
Light
28:35
at
28:35
the
28:35
Bellagio.
28:36
Ann.
28:36
Because
28:36
I
28:37
had
28:37
many
28:37
nights
28:38
at
28:38
the
28:38
Bellagio,
28:38
many
28:39
good
28:39
nights
28:39
at
28:39
Light
28:39
in
28:40
the
28:40
Bellagio.
28:40
And
28:40
that's
28:40
actually
28:40
where
28:41
I
28:41
met
28:41
Mrs.
28:42
Omnitok.
28:42
Was
28:42
on
28:42
the
28:43
dance
28:43
floor,
28:43
you
28:43
know,
28:43
rolled
28:44
up
28:44
to
28:44
her,
28:44
said,
28:44
hey,
28:45
how
28:45
you
28:46
doing?
28:46
All
28:47
right,
28:48
next
28:48
one.
28:49
Last
28:49
month,
28:49
Uber
28:50
said
28:50
it
28:50
will
28:50
soon
28:51
roll
28:51
out
28:51
new
28:51
accounts
28:52
for
28:52
senior
28:52
citizens
28:53
with
28:53
a
28:53
larger
28:53
typeface,
28:54
fewer
28:54
buttons,
28:55
and
28:55
easier
28:55
to
28:55
follow
28:56
instructions.
28:57
Be
28:57
honest.
28:57
And
28:57
when
28:58
you
28:58
heard
28:58
this
28:58
story,
28:59
how
28:59
much
28:59
did
28:59
you
29:00
want
29:00
this
29:00
feature
29:00
for
29:01
yourself?
29:02
I
29:02
mean,
29:03
I
29:03
don't
29:04
think
29:04
I
29:04
need
29:04
all
29:04
the
29:05
features.
29:05
However,
29:06
I
29:06
will
29:06
say
29:06
I
29:07
do
29:07
like
29:07
the
29:07
photo
29:08
Scavenger
29:08
hunt
29:09
that
29:09
they
29:09
give
29:09
you
29:09
from,
29:10
like,
29:10
some
29:10
of
29:10
the
29:11
airports
29:11
will,
29:11
like,
29:11
post
29:12
pictures.
29:12
I
29:12
think
29:12
it
29:13
was
29:13
in
29:13
Paris
29:13
last
29:13
year
29:14
where
29:14
they,
29:14
like
29:14
had
29:14
the
29:14
photos
29:15
that
29:15
guide
29:16
you.
29:16
Like,
29:16
look
29:17
for
29:17
this
29:17
elevator,
29:17
look
29:18
for
29:18
this
29:18
street
29:18
sign.
29:19
Like
29:19
that
29:20
help
29:20
lead
29:20
you
29:20
that
29:21
way.
29:21
I
29:21
would
29:21
definitely
29:22
take
29:22
that
29:23
every
29:23
single
29:24
time.
29:24
So
29:24
if
29:24
that
29:25
comes
29:25
with
29:25
the
29:25
senior
29:26
citizen
29:26
Uber,
29:27
sign
29:27
me
29:28
up.
29:28
Good
29:28
to
29:28
go.
29:28
All
29:28
right,
29:29
nice.
29:30
All
29:30
right,
29:30
Chris,
29:30
Auntie
29:31
Anne's
29:31
is
29:31
rolling
29:31
out
29:32
a
29:32
brand
29:32
new
29:32
layout
29:33
to
29:33
appeal
29:33
to
29:34
Gen
29:34
Z.
29:34
Coming
29:35
to
29:35
a
29:35
mall
29:36
near
29:36
you.
29:38
I
29:38
have
29:38
to
29:38
know,
29:38
is
29:39
there
29:39
any
29:39
mall
29:40
treat
29:40
that
29:40
you
29:40
can
29:41
think
29:41
of
29:41
that
29:41
is
29:42
better
29:42
than
29:42
an
29:42
Auntie
29:43
Ann's
29:43
pretzel?
29:44
Yeah,
29:44
pretty
29:44
much
29:44
everything.
29:45
I
29:45
hate
29:45
Auntie
29:45
Ann's
29:46
pretzels.
29:46
Yeah,
29:46
I
29:47
do.
29:47
And
29:47
this
29:48
is
29:48
hard
29:48
because
29:48
I
29:48
actually
29:48
have
29:49
an
29:49
Aunt
29:49
Anne
29:50
and.
29:51
And
29:51
so
29:51
shout
29:52
out
29:52
to
29:52
her,
29:52
too.
29:52
I'm
29:52
doing
29:52
lots
29:53
of
29:53
shout
29:53
outs
29:53
on
29:53
this.
29:53
No,
29:54
I
29:54
hate
29:54
them.
29:54
They
29:54
don't
29:54
have
29:55
the
29:55
right
29:56
butter
29:56
to
29:56
salt
29:57
to
29:57
texture
29:57
ratio.
29:58
No,
29:59
I
29:59
go.
30:00
I
30:00
go
30:00
full
30:00
on
30:00
Bavarian
30:01
with
30:01
my
30:01
pretzels.
30:01
And
30:02
have
30:02
you
30:02
tried
30:02
the
30:03
nuggets,
30:03
too?
30:04
No.
30:04
Oh,
30:04
those
30:05
might
30:05
be
30:05
better
30:05
for
30:05
you.
30:06
They're
30:06
not
30:06
like,
30:07
not.
30:07
Definitely
30:08
not
30:08
better
30:08
for
30:09
you.
30:09
They
30:09
are
30:09
not
30:09
good
30:09
for
30:10
you.
30:10
But
30:10
I'm
30:11
pretzel
30:11
particular
30:12
and
30:12
pretzel
30:13
particular.
30:13
Oh,
30:14
they're
30:14
so.
30:14
No,
30:14
I
30:15
totally
30:15
disagree
30:15
with
30:15
you.
30:16
All
30:16
right.
30:16
And
30:16
we
30:16
are
30:17
in
30:17
Amsterdam.
30:18
What
30:19
Dutch
30:19
food.
30:19
Food.
30:20
Are
30:20
you
30:20
most
30:21
excited
30:21
to
30:21
try?
30:23
Cheese.
30:24
Always
30:25
cheese.
30:25
Okay.
30:26
I
30:26
didn't
30:26
know.
30:27
I
30:27
love
30:27
their
30:27
cheese.
30:28
Do
30:28
you
30:28
love
30:28
their
30:28
Gouda?
30:29
The
30:29
Gouda
30:29
is
30:30
unreal.
30:31
Like,
30:31
so
30:31
good.
30:32
So
30:32
good.
30:32
Yeah.
30:33
Wow.
30:33
Okay.
30:33
What
30:33
are
30:33
you.
30:34
I've
30:34
been
30:34
told
30:34
to
30:34
try
30:34
the.
30:35
I
30:35
think
30:35
it's
30:35
the
30:35
bitter
30:36
ball
30:36
or
30:36
something
30:36
like
30:37
that.
30:37
It's
30:37
like
30:37
a
30:37
ball.
30:38
It's
30:38
like
30:38
a.
30:38
It's
30:38
like
30:39
a
30:39
hush
30:39
puppy,
30:40
but
30:40
of
30:40
meat,
30:41
I
30:41
think.
30:41
So
30:42
I
30:42
gotta
30:42
try
30:42
that.
30:42
Okay,
30:43
I
30:43
probably
30:43
didn't
30:43
say
30:44
that
30:44
right.
30:44
Sorry,
30:44
Elvira
30:45
and
30:45
Rachel.
30:45
But
30:46
you
30:46
know,
30:46
I'm
30:47
trying
30:47
my
30:47
best,
30:47
but
30:47
yeah,
30:48
that's
30:48
what
30:48
I'm
30:48
going
30:48
to
30:48
try.
30:48
Okay.
30:49
And
30:49
the
30:49
fries.
30:49
The
30:50
fries
30:50
are
30:50
amazing.
30:50
Oh,
30:50
the
30:50
French
30:51
fries.
30:51
Yes,
30:51
of
30:51
course.
30:52
Absolutely.
30:53
All
30:53
right.
30:53
Happy
30:53
birthday
30:54
today
30:54
to
30:54
Peter
30:54
Dinklage.
30:55
Oh,
30:55
my
30:55
God,
30:56
who's
30:56
your
30:56
Dinklage?
30:58
And
30:58
you're
30:58
going
30:58
to
30:58
like
30:59
the
30:59
next
30:59
one,
30:59
too.
30:59
And
30:59
Joshua
31:00
Jackson.
31:01
Oh,
31:01
God,
31:02
yeah.
31:02
Percy
31:03
Mighty
31:03
Ducks.
31:04
And
31:05
to
31:05
the
31:05
woman
31:05
I
31:06
would
31:06
have
31:06
loved
31:06
to
31:06
be
31:07
her
31:07
swamp
31:07
thing,
31:08
Adrienne
31:08
Barbeau.
31:09
And
31:10
remember,
31:10
if
31:10
you
31:10
can
31:10
only
31:10
read
31:10
or
31:10
listen
31:11
to
31:11
one
31:11
retail
31:11
blog,
31:12
you
31:12
have
31:12
no
31:12
idea
31:12
who
31:12
that
31:13
is,
31:13
do
31:13
you?
31:13
Nope.
31:13
If
31:14
you
31:14
could
31:14
only
31:14
later
31:14
listen
31:15
to
31:15
one
31:15
retail
31:15
blog
31:15
for
31:16
business.
31:16
Make
31:17
it
31:17
Omnitok,
31:17
the
31:17
only
31:18
retail
31:18
media
31:18
outlet
31:19
run
31:19
by
31:19
two
31:19
former
31:20
executives
31:20
from
31:20
a
31:20
current
31:21
top
31:21
10
31:21
US
31:21
retailer.
31:22
Our
31:23
Fast
31:23
Five
31:23
podcast
31:24
is
31:24
the
31:24
quickest,
31:24
fastest
31:25
rundown
31:25
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31:25
all
31:25
the
31:25
week's
31:26
top
31:26
news
31:26
and
31:26
our
31:27
daily
31:27
newsletter,
31:27
the
31:28
Retail
31:28
Daily
31:28
Minute,
31:29
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31:29
you
31:29
all
31:29
you
31:29
need
31:29
to
31:29
know
31:30
each
31:30
day
31:30
to
31:31
stay
31:31
on
31:31
top
31:31
of
31:31
your
31:32
game
31:32
as
31:32
a
31:32
retail
31:32
executive
31:33
and
31:33
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31:33
regularly
31:34
feature
31:34
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31:35
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31:35
that
31:35
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31:35
exclusive
31:36
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31:36
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31:36
and
31:37
that
31:37
Ann
31:37
and
31:37
I
31:37
take
31:37
take
31:38
a
31:38
lot
31:38
of
31:38
pride
31:38
in
31:38
doing
31:39
just
31:39
for
31:39
you.
31:39
Thanks
31:39
as
31:40
always
31:40
for
31:40
listening
31:40
in.
31:40
Please
31:41
remember
31:41
like
31:41
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31:41
leave
31:41
us
31:41
a
31:42
review
31:42
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31:42
you
31:43
happen
31:43
to
31:43
listen
31:43
to
31:43
your
31:44
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31:44
or
31:44
on
31:44
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31:45
You
31:45
can
31:45
follow
31:46
us
31:46
today
31:46
by
31:46
simply
31:46
going
31:47
to
31:47
YouTube.com
31:49
omnietalkretail
31:50
yes,
31:51
check
31:51
it
31:51
out
31:51
because
31:51
all
31:52
of
31:52
our
31:52
coverage
31:52
from
31:53
the
31:53
Consumer
31:53
Goods
31:53
Forum
31:54
will
31:54
be
31:54
available
31:56
as
31:56
soon
31:56
as
31:56
it
31:57
goes
31:57
live.
31:58
All
31:58
right,
31:58
so
31:58
until
31:58
next
31:59
week,
31:59
and
32:00
on
32:00
behalf
32:00
of
32:00
all
32:00
of
32:01
us
32:01
at
32:01
Omnitalk,
32:02
as
32:02
always,
32:03
be
32:03
careful
32:03
out
32:04
there.