Latest / Omni Talk Retail / Instacart’s CEO Bolts, Primark Teaches Sewing & Amazon’s Robot Dials Dork To 11 | Fast Five

Transcript

Instacart’s CEO Bolts, Primark Teaches Sewing & Amazon’s Robot Dials Dork To 11 | Fast Five · Omni Talk Retail

0:00
The
0:00
Omnich
0:01
Fast
0:01
5
0:01
is
0:02
brought
0:02
to
0:02
you
0:02
by
0:02
the
0:02
A
0:02
and
0:03
M
0:03
Consumer
0:03
and
0:03
Retail
0:04
Group.
0:04
The
0:04
A
0:05
and
0:05
M
0:05
Consumer
0:05
and
0:05
Retail
0:06
Group
0:06
is
0:06
a
0:06
management
0:06
consulting
0:07
firm
0:07
that
0:07
tackles
0:08
the
0:08
most
0:08
complex
0:09
challenges
0:09
and
0:09
advances
0:10
its
0:10
clients,
0:11
people
0:11
and
0:11
communities
0:12
toward
0:12
their
0:12
maximum
0:13
potential.
0:13
CRG
0:14
brings
0:14
the
0:14
experience,
0:15
tools
0:15
and
0:15
operator
0:16
like
0:16
pragmatism
0:17
to
0:17
help
0:17
retailers
0:18
and
0:18
consumer
0:19
products
0:19
companies
0:19
be
0:19
on
0:20
the
0:20
right
0:20
side
0:20
of
0:20
disruption
0:21
and
0:22
Miracle,
0:22
the
0:23
catalyst
0:23
of
0:23
Commerce.
0:24
Over
0:25
450
0:26
retailers
0:26
are
0:26
now
0:27
opening
0:27
new
0:27
revenue
0:28
streams
0:28
with
0:28
marketplaces,
0:29
dropship
0:29
and
0:30
retail
0:30
media
0:30
and
0:31
succeed.
0:31
Leading
0:32
with
0:32
Miracle,
0:33
you
0:33
can
0:33
unlock
0:33
more
0:34
products,
0:34
more
0:35
partners
0:35
and
0:35
more
0:36
profits
0:36
without
0:36
the
0:37
heavy
0:37
lifting.
0:38
What's
0:38
holding
0:38
you
0:38
back?
0:39
Visit
0:39
Miracle.com
0:41
to
0:41
learn
0:41
more.
0:41
That's
0:42
M
0:42
I
0:42
R
0:42
A
0:43
K
0:43
L.com
0:44
and
0:44
Simbi
0:45
Simbi
0:46
powers
0:46
the
0:46
most
0:46
retail
0:47
banners
0:47
in
0:48
the
0:48
world
0:48
with
0:49
today's
0:49
only
0:50
multimodal
0:50
platform
0:51
for
0:51
in
0:51
store
0:51
intelligence.
0:52
See
0:53
how
0:53
Albertsons,
0:53
BJ's
0:54
Spartan
0:54
Nash
0:55
and
0:55
Wakefern
0:55
win
0:56
with
0:56
AI
0:56
and
0:57
automation
0:57
at
0:57
circumstances.
0:58
Simbrobotics.com
1:00
and
1:00
Infios.
1:01
@
1:01
Infios,
1:02
they
1:02
unite
1:02
warehousing,
1:03
transportation
1:03
and
1:04
order
1:04
management
1:04
into
1:05
a
1:05
seamless,
1:05
adaptable
1:06
network.
1:07
Infios
1:07
helps
1:08
you
1:08
stay
1:08
ahead
1:09
from
1:09
promise
1:10
to
1:10
delivery
1:10
and
1:11
every
1:11
step
1:11
in
1:12
between.
1:12
To
1:12
learn
1:13
more,
1:13
visit
1:13
infios.com
1:15
and
1:15
Clear
1:15
Demand
1:16
pricing
1:17
shouldn't
1:17
be
1:17
guesswork
1:18
Clear
1:18
Demand's
1:19
AI
1:19
powered
1:19
pricing
1:20
data
1:20
and
1:20
optimization
1:21
solutions
1:21
help
1:22
retailers
1:22
stay
1:22
competitive
1:23
while
1:23
protecting
1:24
margins,
1:25
smarter
1:25
pricing,
1:26
stronger
1:26
profits.
1:27
Clear
1:28
Demand
1:28
makes
1:28
it
1:29
happen
1:30
more@cleardemand.com
1:32
omnitalk
1:33
and
1:33
finally
1:34
Ocampo
1:34
Capital.
1:34
Ocampo
1:35
Capital
1:35
is
1:36
a
1:36
venture
1:36
capital
1:36
firm
1:37
founded
1:37
by
1:37
retail
1:38
executives
1:38
with
1:38
the
1:39
aim
1:39
of
1:39
helping
1:39
early
1:40
stage
1:40
consumer
1:40
businesses
1:41
succeed
1:41
through
1:42
investment
1:42
and
1:42
operational
1:43
support.
1:44
Learn
1:44
more@ocampo
1:45
capital.com
1:47
hello,
1:48
you
1:48
are
1:48
listening
1:49
to
1:49
Omnitalks.
1:50
Retail
1:50
Fast
1:50
Five
1:51
ranked
1:51
the
1:51
top
1:51
10%
1:52
of
1:52
all
1:52
podcasts
1:53
globally
1:53
and
1:53
currently
1:54
the
1:54
only
1:54
retail
1:55
podcast
1:55
ranked
1:55
in
1:55
the
1:56
top
1:56
100
1:56
of
1:56
all
1:56
business
1:57
podcasts
1:57
on
1:57
Apple
1:58
Podcasts.
1:58
The
1:58
Retail
1:59
Fast
1:59
Five
1:59
is
1:59
the
1:59
podcast
2:00
that
2:00
we
2:00
hope
2:01
makes
2:01
you
2:01
feel
2:02
little
2:02
smarter
2:02
but
2:02
most
2:03
importantly
2:03
a
2:03
little
2:03
happier
2:04
each
2:04
week
2:04
too.
2:05
And
2:05
the
2:05
Fast
2:06
5
2:06
is
2:06
just
2:06
one
2:06
of
2:06
the
2:06
many
2:07
great
2:07
podcasts
2:07
you
2:07
can
2:08
find
2:08
from
2:08
our
2:08
Omnitok
2:09
Retail
2:09
Podcast
2:10
Network
2:10
alongside
2:11
our
2:11
Retail
2:11
Daily
2:12
Minute
2:12
which
2:12
brings
2:12
you
2:13
a
2:13
curated
2:13
selection
2:13
of
2:14
the
2:14
most
2:14
important
2:14
retail
2:15
headlines
2:15
every
2:16
morning
2:16
and
2:16
our
2:17
Retail
2:17
Technology
2:17
Spotlight
2:18
series
2:18
which
2:18
goes
2:19
deep
2:19
each
2:19
week
2:20
on
2:20
the
2:20
latest
2:20
retail
2:21
Technology
2:21
Trends.
2:23
It's
2:23
May
2:24
14,
2:24
2020.
2:25
Gotta
2:25
be
2:25
May.
2:27
Are
2:27
we
2:27
gonna
2:27
sing
2:27
that
2:28
for
2:28
every
2:29
May
2:29
headline?
2:30
It
2:30
gonna
2:30
be
2:31
me,
2:31
me.
2:32
I
2:32
think
2:32
we
2:32
have
2:32
to.
2:33
It's
2:33
such
2:33
a
2:33
great.
2:34
It's
2:34
such
2:34
a
2:34
great
2:34
meme.
2:35
It's
2:35
Such
2:35
a
2:35
great
2:35
everything
2:36
now
2:36
at
2:36
this
2:36
point.
2:36
And
2:38
I'm
2:38
one
2:38
of
2:38
your
2:38
hosts,
2:39
Anne
2:39
Mazenga.
2:40
And
2:40
I'm
2:40
Chris
2:40
Walton.
2:41
And
2:41
we
2:41
are
2:41
here
2:41
once
2:42
again
2:42
to
2:42
discuss
2:43
all
2:43
the
2:43
top
2:43
headlines
2:44
from
2:44
the
2:44
past
2:45
week
2:45
of
2:45
May,
2:46
making
2:46
waves
2:47
in
2:47
the
2:47
world
2:47
of
2:48
omnichannel
2:48
retailing.
2:49
And
2:49
coming
2:49
to
2:49
you
2:49
live
2:49
this
2:50
week
2:50
from
2:50
the
2:50
World
2:50
Retail
2:51
Congress
2:51
in
2:52
sunny,
2:53
beautiful,
2:54
warm
2:55
London.
2:55
Chris,
2:56
what's
2:56
been
2:56
the
2:56
best
2:57
part
2:57
of
2:57
London
2:58
for
2:58
you
2:58
so
2:58
far?
2:58
And
2:59
more
3:00
importantly,
3:01
did
3:01
you
3:01
get
3:01
your
3:02
pint
3:02
of
3:02
John
3:02
Smith
3:03
Smith
3:03
or
3:04
John
3:04
Smith
3:04
Smith.
3:05
Yes,
3:05
Smith.
3:06
Yes,
3:06
plural.
3:07
Okay.
3:07
Yes,
3:07
Smith.
3:08
Well,
3:08
no,
3:09
no,
3:09
John.
3:10
That's
3:10
how
3:10
you
3:10
would
3:10
say
3:10
John
3:11
Smith,
3:11
but
3:11
yes,
3:12
it's
3:12
a.
3:12
Yeah,
3:12
John
3:13
Smith's
3:13
beer.
3:14
Okay,
3:14
I
3:15
did.
3:15
And,
3:15
and
3:16
I
3:16
gotta
3:16
tell
3:16
you,
3:18
shout
3:18
out
3:18
to
3:18
my,
3:19
my
3:20
pundit
3:20
brother
3:21
from
3:21
another
3:21
mother
3:21
across
3:22
the
3:22
Atlantic,
3:22
Ben
3:23
Miller,
3:23
for
3:24
hooking
3:24
me
3:24
up
3:25
yesterday.
3:25
You're
3:26
a
3:26
saint.
3:27
Took
3:27
me
3:27
to
3:27
a
3:28
divey
3:28
bar
3:29
in.
3:29
Off
3:30
the
3:30
Houston
3:30
station
3:31
in
3:31
London
3:31
and
3:31
got
3:32
me
3:32
a
3:32
pint
3:32
of
3:32
John
3:33
Smith.
3:33
And
3:33
I,
3:34
I
3:35
have
3:35
not
3:35
had
3:35
that
3:36
much
3:36
fun
3:36
in
3:36
a
3:36
long
3:37
time.
3:37
I
3:37
had
3:37
such
3:37
a
3:38
blast
3:38
last
3:39
night
3:39
sitting
3:39
outside
3:40
with
3:40
him.
3:40
The
3:40
weather
3:41
was
3:41
beautiful,
3:41
like
3:41
you
3:41
said.
3:42
Yeah.
3:42
Drinking
3:43
a
3:43
few
3:43
pints
3:43
and
3:44
it
3:44
was
3:44
just
3:44
like,
3:44
it
3:45
was
3:45
so
3:45
incredible.
3:45
So
3:46
thanks
3:46
to
3:46
Ben
3:46
for
3:47
hooking
3:47
that
3:48
up
3:48
for,
3:48
for
3:48
me
3:49
and
3:49
him.
3:49
And
3:49
then
3:49
we
3:49
met
3:50
up
3:50
with
3:50
you
3:50
for
3:50
dinner
3:51
and
3:51
yes,
3:51
it's
3:51
a
3:52
great
3:52
night.
3:52
I,
3:52
I
3:53
enjoyed
3:53
it.
3:53
I,
3:53
you
3:53
know,
3:54
I
3:54
love
3:54
London.
3:54
London
3:55
is
3:55
my
3:55
abso
3:56
of
3:56
my
3:56
happy
3:56
places
3:56
in
3:57
the
3:57
world.
3:57
So,
3:57
yeah,
3:58
couldn't
3:58
be,
3:59
couldn't
3:59
be
3:59
happier.
3:59
And
4:00
London
4:00
is
4:00
off
4:00
to
4:00
a
4:01
great
4:01
start.
4:01
It's
4:02
so
4:02
beautiful
4:02
here.
4:02
Like,
4:03
I,
4:03
I
4:03
was
4:04
playing,
4:04
I
4:04
packed
4:05
all
4:05
my
4:05
rain
4:05
gear,
4:05
Chris.
4:06
I
4:06
got
4:06
waterproof
4:07
shoes
4:08
and
4:08
I
4:09
just,
4:09
I
4:09
mean,
4:09
I
4:09
think
4:10
I'm
4:10
going
4:10
to
4:10
do
4:10
that
4:10
every
4:10
time
4:11
from
4:11
now
4:11
on
4:11
so
4:11
that
4:12
it's
4:12
beautiful
4:12
when
4:13
I
4:13
land
4:13
in
4:13
London.
4:13
Yeah,
4:14
right.
4:15
Why
4:15
not?
4:15
Jigs
4:16
it.
4:16
Yeah.
4:16
And
4:16
the,
4:16
and
4:16
the,
4:17
the
4:17
conference
4:17
is
4:17
really
4:18
nice,
4:18
too.
4:18
We're
4:18
at
4:18
the
4:19
Hilton
4:19
Park
4:19
Lane,
4:20
which
4:20
is,
4:20
is
4:21
nice
4:21
too,
4:21
and
4:22
right
4:22
across
4:22
from
4:22
Hyde
4:23
Park.
4:23
So,
4:24
yeah,
4:24
it's
4:24
a,
4:24
it's
4:24
a,
4:25
it's
4:25
a,
4:25
it's
4:25
a
4:26
unique
4:26
time
4:26
in
4:26
London,
4:27
a
4:27
very
4:27
special
4:28
time
4:28
to
4:28
be
4:28
here
4:28
given
4:29
just
4:29
the
4:29
amount
4:29
of
4:30
sunlight
4:30
shining
4:30
through
4:30
my
4:31
window
4:31
right
4:31
now.
4:31
Yes.
4:32
And
4:32
we've
4:32
had
4:33
art.
4:33
We've
4:33
only
4:34
done
4:34
one
4:34
day
4:34
of
4:34
coverage
4:35
so
4:35
far
4:36
upon
4:36
recording
4:37
of
4:37
this
4:37
podcast,
4:37
and
4:38
we've
4:38
had
4:38
some
4:38
tremendous
4:39
interviews
4:40
already.
4:40
The
4:40
CEO
4:41
of
4:41
JD
4:41
Sports
4:42
and
4:42
my.
4:42
Personal
4:43
favorite
4:43
interview,
4:43
too,
4:44
and
4:44
was
4:44
Scott
4:45
Price,
4:45
who
4:45
came
4:45
back
4:46
for
4:46
a
4:46
second
4:46
year
4:46
in
4:47
a
4:47
row.
4:47
Thank
4:47
you,
4:48
CEO
4:48
of
4:48
the
4:48
DFI
4:49
Retail
4:49
Group.
4:50
Yeah.
4:50
Who.
4:51
He
4:51
dropped
4:52
some.
4:52
He
4:52
dropped
4:52
some
4:52
really
4:52
interesting
4:53
tidbits.
4:53
I
4:53
encourage
4:54
everyone
4:54
to
4:54
listen
4:54
to
4:54
that
4:54
interview.
4:55
I
4:55
just.
4:55
We
4:55
just
4:56
posted
4:56
it
4:56
live
4:57
last
4:57
night
4:57
on
4:58
YouTube
4:58
and
4:59
it'll
4:59
come
4:59
out
4:59
on
4:59
the
4:59
podcast
5:00
channel
5:00
earlier.
5:01
Probably
5:01
came
5:01
out
5:01
earlier
5:02
this
5:02
morning
5:02
for
5:02
those
5:02
listening
5:03
on
5:03
the
5:03
podcast
5:04
and
5:04
had
5:04
some
5:05
really
5:05
interesting
5:05
things
5:05
to.
5:06
Things
5:06
to
5:06
say
5:06
about
5:07
AI
5:07
and
5:08
the
5:08
evolution
5:08
of
5:09
profit
5:09
in
5:09
the
5:09
grocery
5:10
space
5:10
particularly.
5:11
So,
5:11
yeah,
5:11
it's
5:12
been
5:12
a
5:12
great
5:12
day
5:12
and
5:12
we've
5:13
got
5:13
a
5:13
great
5:13
lineup
5:13
coming
5:14
your
5:14
way
5:14
again.
5:14
That's
5:15
right.
5:15
Okay,
5:16
well,
5:16
Chris,
5:16
let's.
5:17
Let's
5:17
get
5:17
to
5:17
the
5:18
headlines
5:18
from
5:18
this
5:18
week.
5:19
All
5:20
right,
5:20
this
5:20
week's
5:20
Fast5,
5:21
we've
5:21
got
5:21
news
5:22
on
5:22
Amazon's
5:23
debut
5:23
of
5:23
its
5:23
robot
5:24
Vulcan.
5:25
Live
5:25
long
5:26
and
5:26
prosper.
5:27
Anne,
5:27
I
5:27
needed
5:28
you
5:28
to
5:28
explain
5:28
that
5:29
to
5:29
me,
5:29
like
5:30
for
5:30
the
5:30
audience
5:30
to
5:31
have
5:31
some
5:31
context.
5:31
Chris,
5:32
just.
5:32
He's
5:32
holding
5:33
up
5:33
the.
5:34
This
5:34
like
5:34
he's
5:34
splitting
5:35
his
5:35
fingers.
5:35
I
5:35
don't
5:36
even
5:36
know.
5:37
Do
5:37
you
5:37
really
5:37
not
5:37
know
5:37
what
5:38
the
5:38
Vulcan
5:38
symbol?
5:39
No,
5:39
I
5:39
don't
5:39
know.
5:40
The
5:40
Vulcan
5:40
I
5:41
know.
5:41
Oh
5:41
my
5:41
God,
5:41
Dan
5:42
Fawn
5:42
is
5:42
like
5:43
rolling
5:43
over
5:43
right
5:44
now.
5:44
He's
5:44
dying.
5:45
That.
5:45
I
5:45
don't
5:45
know
5:45
that.
5:45
But.
5:46
So
5:46
you
5:46
just
5:46
lost
5:46
half
5:47
the
5:47
audience
5:47
and
5:47
probably
5:48
half
5:48
the
5:48
audience
5:48
is
5:48
like
5:49
empathizing
5:50
with
5:50
you
5:50
too,
5:50
that
5:50
they
5:50
don't
5:51
know.
5:51
But
5:51
yeah,
5:51
it's
5:51
a
5:51
Star
5:51
Trek
5:52
reference,
5:52
which,
5:52
okay,
5:53
not
5:53
surprising,
5:53
that's
5:53
what
5:54
Amazon
5:54
named
5:54
their
5:55
latest
5:55
tech
5:55
after
5:55
some
5:56
sci
5:56
fi
5:56
dorky
5:56
thing
5:57
which
5:57
I'll.
5:57
I'll
5:57
have
5:58
a
5:58
rant
5:58
about
5:58
later
5:58
on.
5:59
But
5:59
anyway,
5:59
we've
6:00
got
6:00
that.
6:00
We've
6:00
got
6:01
Primark's
6:01
in
6:01
store
6:02
repair
6:02
classes,
6:03
ASOS
6:03
offering
6:04
next
6:04
day
6:04
delivery
6:05
through
6:05
in
6:05
post
6:06
lockers,
6:07
LTK
6:08
bringing
6:08
the
6:08
bastard
6:09
of
6:09
life
6:09
on
6:09
its
6:09
social
6:10
commerce
6:11
shopping
6:11
platform
6:12
and
6:12
AWS.
6:13
Justin
6:13
Swagler,
6:14
aka
6:15
as
6:15
he
6:15
likes
6:15
to
6:15
call
6:15
himself
6:16
JSwag,
6:17
stops
6:17
by
6:17
to
6:18
talk
6:18
about
6:18
all
6:18
the
6:18
technologies
6:19
powering
6:19
what
6:19
he
6:20
calls
6:20
a
6:20
quote
6:21
store
6:22
renaissance.
6:23
Yes,
6:23
but
6:24
we
6:24
begin
6:24
today
6:24
with
6:25
big
6:25
news
6:25
out
6:25
of
6:25
Instacart.
6:26
And
6:27
yeah,
6:27
shocking
6:28
news
6:28
for
6:28
a
6:28
lot
6:29
of
6:29
us,
6:29
I
6:29
think.
6:30
Headline
6:30
number
6:31
one,
6:31
Instacart
6:32
CEO
6:32
is
6:33
stepping
6:33
down
6:33
according
6:34
to
6:34
retail
6:34
dive.
6:35
Instacart
6:35
announced
6:35
Wednesday
6:36
that
6:36
CEO
6:36
and
6:37
chair
6:37
Fiji
6:37
Simo
6:38
will
6:39
be
6:39
departing
6:40
in
6:40
the
6:40
coming
6:40
months
6:40
from
6:41
the
6:41
company
6:41
to
6:41
become
6:42
the
6:42
CEO
6:43
of
6:43
OpenAI
6:44
Applications.
6:45
Simo
6:46
will
6:46
continue
6:46
her
6:46
duties
6:47
at
6:47
Instacart's
6:47
helm
6:48
and
6:48
work
6:48
closely
6:49
to
6:49
appoint
6:49
her
6:49
successor,
6:50
who
6:50
the
6:50
company
6:51
board
6:51
expects
6:51
will
6:52
be
6:52
an
6:52
existing
6:52
member
6:53
of
6:53
Instacart's
6:54
management
6:54
team.
6:54
Per
6:54
the
6:55
announcement,
6:55
Simo
6:56
joined
6:56
Instacart
6:57
as
6:57
CEO
6:58
in
6:58
2021
6:59
and
6:59
led
6:59
the
6:59
company
6:59
through
7:00
multiple
7:00
acquisitions
7:01
and
7:01
an
7:01
expansion
7:02
into
7:03
New.
7:03
New
7:04
in
7:04
store
7:04
technology
7:05
like
7:05
smart
7:05
carts
7:05
and
7:06
digital
7:06
shelf
7:06
tags.
7:07
Chris,
7:08
what
7:08
struck
7:09
you
7:09
most
7:09
when
7:10
you
7:10
heard
7:10
the
7:10
news
7:11
about
7:11
Fiji's
7:13
departure
7:13
here?
7:14
Yeah.
7:14
About
7:15
the
7:15
Instacart
7:15
CEO's
7:16
departure.
7:17
Wow.
7:17
A
7:17
number
7:17
of
7:17
things.
7:18
And
7:18
I
7:18
would
7:18
say,
7:19
you
7:19
know,
7:20
in
7:20
no
7:20
particular
7:21
order,
7:21
too.
7:21
Just,
7:21
like,
7:21
off
7:22
the
7:22
top
7:22
of
7:22
my
7:22
head.
7:22
First,
7:23
you
7:23
know,
7:23
I
7:23
didn't
7:24
know
7:24
she'd
7:24
been
7:24
there
7:24
for
7:25
years.
7:25
I
7:25
looked,
7:26
you
7:26
know,
7:26
I
7:26
was
7:26
surprised
7:27
by
7:27
that.
7:27
It
7:28
didn't
7:28
feel
7:28
like
7:28
she
7:29
had
7:29
been
7:29
there
7:29
that
7:29
long.
7:30
I
7:30
don't
7:30
know
7:30
if
7:30
you
7:30
felt
7:30
the
7:30
same
7:31
way.
7:31
Yeah.
7:32
And
7:33
that
7:33
kind
7:33
of
7:33
brings
7:33
me
7:33
to
7:33
my
7:33
second
7:34
point,
7:34
which
7:34
is,
7:34
you
7:35
know,
7:35
secondarily,
7:36
like,
7:37
I
7:37
still
7:38
question
7:38
if
7:38
Instacart's
7:39
in
7:39
a
7:39
better
7:39
place
7:39
than
7:40
when
7:40
she
7:40
took
7:41
over.
7:41
I
7:41
know
7:41
that
7:42
that's
7:42
how
7:42
they're
7:42
spinning
7:43
it
7:43
in
7:43
the
7:43
media.
7:43
Yeah.
7:43
It's
7:44
just
7:44
kind
7:44
of
7:44
the
7:44
gut
7:44
feeling
7:45
that
7:45
I
7:45
have
7:45
because,
7:46
you
7:46
know,
7:47
I
7:47
don't
7:47
know,
7:47
I've
7:47
never
7:47
been
7:47
bought
7:48
in
7:48
on
7:48
the
7:48
operating
7:48
system
7:49
for
7:49
stores,
7:49
maybe
7:50
for
7:50
the
7:50
regional
7:50
grocers,
7:51
I
7:51
guess.
7:51
But
7:51
there's
7:52
a
7:52
lot
7:52
of
7:52
competition
7:53
in
7:53
that
7:53
space,
7:53
too.
7:54
And
7:55
comparatively,
7:55
I
7:55
still
7:55
think
7:56
Doordash's
7:57
value
7:57
proposition
7:57
is.
7:58
Is
7:58
much
7:58
stronger
7:59
in
7:59
the
7:59
landscape
7:59
as
7:59
we
8:00
talked
8:00
about
8:00
in
8:00
this
8:00
show
8:00
a
8:00
lot.
8:01
So.
8:01
So
8:01
I
8:01
just.
8:02
I
8:02
just
8:02
kind
8:02
of
8:02
question
8:02
that.
8:03
But
8:03
I
8:03
think
8:03
the
8:03
biggest
8:04
takeaway
8:04
for
8:04
me
8:05
coming
8:05
out
8:05
of
8:05
the
8:05
move,
8:06
and
8:06
this,
8:07
to
8:07
me
8:07
is
8:07
the
8:07
most
8:07
interesting
8:08
point,
8:08
is
8:09
she
8:09
essentially
8:10
saying,
8:10
E
8:10
Commerce
8:11
is
8:11
so
8:11
yesterday,
8:12
and.
8:13
And
8:13
she's
8:14
saying,
8:14
I'm
8:14
jumping
8:14
feet
8:15
first
8:15
into
8:16
everything
8:16
AI.
8:17
Yeah.
8:17
And
8:18
that's
8:18
a
8:18
point
8:18
that's
8:19
really
8:19
telling
8:20
and
8:20
that
8:20
I
8:20
think
8:20
all
8:20
of
8:21
us
8:21
need
8:21
to
8:21
come
8:21
to
8:21
terms
8:22
with
8:22
that.
8:22
You
8:22
have
8:23
someone
8:23
who
8:23
is
8:24
smart
8:24
enough
8:24
to
8:24
be
8:24
at
8:25
Metta,
8:25
you
8:25
know,
8:26
on
8:26
the
8:26
upswing,
8:27
then
8:27
went
8:27
to
8:27
Instacart,
8:28
kind
8:28
of,
8:28
you
8:28
know,
8:29
quote,
8:29
unquote,
8:30
transform
8:30
them
8:30
all.
8:31
The
8:31
transformation
8:31
is,
8:31
you
8:32
know,
8:32
debatable
8:33
and
8:33
is
8:33
now
8:33
jumping
8:34
into
8:34
the
8:34
AI
8:34
pool.
8:35
Yeah.
8:36
So
8:37
I
8:37
think
8:37
you
8:38
just
8:38
have
8:38
to
8:38
just
8:39
take
8:39
that
8:39
into
8:40
account.
8:40
Yeah.
8:41
I
8:41
mean,
8:41
I
8:42
was
8:42
not
8:42
surprised
8:43
at
8:43
all,
8:43
given
8:43
her
8:44
background.
8:44
No,
8:45
I
8:45
mean,
8:45
I
8:45
think
8:46
this
8:46
makes
8:47
total
8:47
sense,
8:47
like,
8:48
the
8:48
longevity
8:49
if
8:49
I.
8:49
If
8:50
I
8:50
were
8:50
her.
8:50
And
8:51
looking
8:51
at
8:51
where
8:51
the
8:52
longevity
8:52
is
8:53
in
8:53
a
8:54
career,
8:54
I
8:55
mean,
8:55
open
8:55
AI
8:55
is.
8:56
Is
8:56
the
8:56
spot.
8:57
Like,
8:57
there's.
8:57
There's
8:58
no
8:58
turning
8:58
down
8:58
that
8:59
job.
8:59
And
9:00
I
9:00
do
9:00
think,
9:00
though,
9:01
that
9:01
I
9:02
disagree
9:03
a
9:03
little
9:03
bit
9:04
on
9:04
where
9:05
Instacart
9:06
is.
9:06
I
9:06
really
9:06
do
9:07
think
9:07
that
9:07
she
9:07
helped
9:07
Instacart
9:08
get
9:08
into
9:09
a
9:09
trusted
9:09
position.
9:10
And
9:10
there's
9:10
probably
9:11
so
9:11
much
9:11
more
9:12
under
9:12
the
9:12
covers
9:12
because
9:13
so
9:13
many
9:13
of
9:13
the
9:14
people
9:14
that
9:14
we
9:15
really
9:15
respect
9:16
as
9:16
Innovators
9:17
in
9:17
the
9:17
industry
9:17
are
9:18
partnering
9:18
up
9:18
with
9:19
Instacart
9:20
to
9:20
do
9:21
this
9:21
store
9:21
operations
9:22
and
9:22
to
9:22
do
9:22
some
9:23
of
9:23
the
9:23
other
9:23
things
9:24
that
9:24
they're
9:24
kicking
9:24
into
9:24
place.
9:26
And
9:26
also
9:26
I
9:27
think,
9:27
you
9:27
know,
9:27
we
9:27
interviewed
9:28
David
9:28
McIntosh,
9:29
the
9:29
Chief
9:29
connected
9:30
stores
9:30
officer
9:31
back
9:31
at
9:31
Grocery
9:32
Shop
9:32
and
9:32
he
9:32
was
9:33
really
9:33
impressive
9:33
too.
9:33
And,
9:34
and
9:34
so
9:34
as
9:35
I'm
9:35
thinking
9:35
about
9:35
the
9:36
future
9:36
of
9:37
where
9:37
Instacart's
9:38
going,
9:38
he
9:38
would
9:38
be
9:39
top
9:39
of
9:39
my
9:39
list
9:39
for
9:40
next
9:40
CEO,
9:40
I
9:41
think,
9:41
because
9:42
I
9:42
think
9:42
that's
9:42
where
9:42
the
9:43
most
9:43
growth
9:44
potential,
9:44
especially
9:45
when
9:45
you
9:45
start
9:45
to
9:45
think
9:45
about
9:46
retail
9:46
media
9:47
and
9:47
connected
9:48
stores
9:48
and
9:48
how
9:49
Instacart's
9:50
really
9:50
going
9:50
to
9:50
have
9:50
to
9:51
position
9:51
themselves
9:51
for
9:52
future
9:52
success.
9:53
But
9:53
I'm
9:53
curious
9:54
who,
9:54
if
9:54
you
9:54
have
9:55
anybody
9:55
you
9:55
would
9:56
like,
9:56
rise
9:56
to
9:56
the
9:57
top
9:57
of
9:57
that
9:57
organization?
9:58
I,
9:58
I
9:58
don't,
9:59
I
9:59
don't.
9:59
And
9:59
the
10:00
other
10:00
part
10:00
about
10:00
the
10:00
announcement
10:01
to
10:01
me
10:01
is,
10:01
you
10:01
know,
10:01
she's,
10:02
she's,
10:03
she's
10:03
kind
10:03
of
10:04
a
10:04
software
10:04
leader
10:04
in
10:05
background
10:05
versus
10:05
an
10:06
operations
10:07
too.
10:07
And
10:07
I
10:07
wonder,
10:08
you
10:08
know,
10:08
what
10:08
they're
10:09
going
10:09
to
10:09
look
10:09
for
10:09
in
10:09
their
10:10
net
10:10
in
10:10
the,
10:10
in
10:11
the,
10:11
whoever
10:11
takes
10:11
the
10:12
helm
10:12
of
10:12
the
10:12
job
10:12
because
10:12
there
10:13
is
10:13
a
10:13
lot
10:13
of
10:13
operations
10:14
that
10:14
go
10:14
into
10:15
running
10:15
for
10:15
sure
10:16
and
10:16
particularly
10:16
as
10:16
you
10:16
try
10:16
to
10:17
become
10:17
the
10:17
store
10:17
oper
10:18
platform
10:18
in
10:18
the
10:18
future.
10:19
So
10:19
now
10:19
I'd
10:20
be
10:20
speaking
10:20
out
10:20
of
10:20
turn
10:21
if
10:21
I
10:21
tried
10:21
to
10:21
even,
10:22
even
10:22
submit
10:22
a
10:22
name
10:23
for
10:23
who,
10:23
who
10:23
could
10:23
best
10:24
lead
10:24
that
10:24
job.
10:24
Just
10:25
go,
10:25
David
10:25
McIntosh,
10:26
I
10:26
think
10:26
you're
10:26
a
10:26
great
10:27
guy.
10:27
I
10:27
was
10:27
impressed
10:28
by
10:28
you
10:28
and
10:29
I
10:29
hope
10:29
that
10:29
you
10:29
get
10:29
the
10:30
next
10:30
role,
10:30
should
10:31
you
10:31
want
10:31
to
10:31
accept
10:31
that.
10:32
Yeah,
10:33
yeah.
10:33
It
10:33
sounds
10:33
like
10:33
they
10:33
got
10:34
somebody
10:34
lined
10:34
up
10:34
internally.
10:35
I'm
10:35
being
10:35
excited
10:36
to
10:36
see
10:36
what
10:36
is.
10:36
All
10:36
right,
10:37
headline
10:37
number
10:37
two.
10:38
Amazon
10:38
unveiled
10:39
its
10:39
first
10:39
warehouse
10:40
robot
10:40
with
10:40
the
10:41
sense
10:41
of
10:41
touch,
10:42
AKA
10:43
Vulcan.
10:44
According
10:45
to
10:45
Geekwire,
10:46
because
10:46
who
10:46
else
10:47
could
10:47
or
10:47
should
10:48
bring
10:48
you
10:48
a
10:48
story
10:49
like
10:49
this?
10:49
The
10:50
robot
10:50
uses
10:51
force
10:51
sensors,
10:52
force
10:53
sensors
10:53
and
10:54
AI
10:54
to
10:55
handle
10:55
and
10:55
organize
10:56
inventory
10:56
with
10:57
human
10:57
like
10:58
precision,
10:58
or
10:59
Jedi
10:59
like
10:59
precision,
11:00
if
11:00
you
11:00
like
11:00
the
11:00
use
11:00
of
11:01
the
11:01
word
11:01
force
11:01
sensor.
11:02
Vulcan
11:02
is
11:02
already
11:03
running
11:03
in
11:03
Amazon
11:04
fulfillment
11:04
centers
11:04
in
11:04
Spokane,
11:05
Washington
11:05
and
11:06
Hamburg,
11:06
Germany,
11:07
with
11:07
future
11:08
deployments
11:08
planned
11:08
across
11:09
Europe
11:09
and
11:09
the
11:10
US
11:10
the
11:11
robot
11:11
mimics
11:11
human
11:12
touch
11:13
to
11:14
handle
11:14
items
11:15
in
11:15
warehouse
11:16
bins
11:16
using
11:16
a
11:17
specialized
11:17
tool
11:18
with
11:18
force
11:19
feedback
11:20
sensors
11:20
to
11:20
sense
11:21
contact
11:21
and
11:21
pressure.
11:22
Amazon
11:23
describes
11:23
the
11:24
mechanism
11:24
on
11:24
the
11:24
end
11:25
of
11:25
the
11:25
arm
11:25
as,
11:25
quote,
11:26
a
11:26
ruler
11:27
stuck
11:27
onto
11:28
a
11:28
hair
11:28
straightener,
11:29
end
11:29
quote.
11:29
And
11:29
it's
11:30
worth
11:30
checking
11:30
out
11:30
in
11:31
the
11:31
video
11:31
folks
11:32
from
11:32
the
11:32
source
11:33
article
11:33
in
11:33
Geekwire.
11:34
One
11:34
part
11:35
pushes
11:35
items
11:36
around
11:36
to
11:36
make
11:36
space
11:37
while
11:37
paddle
11:37
like
11:38
arms
11:38
gently
11:38
grip
11:39
and
11:39
insert
11:40
new
11:40
items.
11:40
And
11:41
using
11:41
tiny
11:41
conveyor
11:42
belts,
11:43
another
11:43
of
11:43
the
11:43
Robot's
11:44
arms
11:44
also
11:44
uses
11:45
a
11:45
camera
11:45
and
11:46
a
11:46
suction
11:46
cup
11:47
to
11:47
identify
11:47
target
11:48
and
11:48
extract
11:48
items
11:49
without
11:49
grabbing
11:50
anything
11:50
extra.
11:51
And
11:51
this,
11:52
you
11:52
get
11:53
the
11:53
lucky
11:53
roll
11:53
of
11:53
the
11:53
dice
11:54
today,
11:54
my
11:54
friend,
11:54
because
11:54
this
11:55
is
11:55
the
11:55
A
11:55
and
11:55
M.
11:55
Put
11:55
you
11:56
on
11:56
the
11:56
spot.
11:56
Question
11:57
Take
11:57
me
11:57
to
11:58
your
11:58
leader
11:59
is
11:59
what's
11:59
coming
12:00
through
12:00
my
12:00
mind.
12:00
And
12:01
there's
12:01
been
12:01
a
12:01
lot
12:01
of
12:01
noise
12:02
about
12:02
Vulcan
12:03
on
12:03
social
12:03
media.
12:04
Do
12:04
you
12:04
think
12:04
that
12:05
all
12:05
the
12:05
hula
12:05
blue
12:06
is
12:06
warranted,
12:07
number
12:07
one?
12:07
And
12:07
number
12:07
two,
12:08
where
12:08
does
12:09
the
12:09
application
12:09
of
12:10
this
12:10
technology
12:10
begin
12:11
and
12:11
end
12:11
in
12:12
your
12:12
mind?
12:12
Oh,
12:13
my
12:13
gosh.
12:13
There
12:14
are
12:14
so
12:14
many
12:14
nerd
12:15
references
12:15
in
12:15
this
12:16
that
12:16
I
12:16
don't
12:17
even
12:17
know
12:17
where.
12:17
Yeah,
12:17
I
12:18
went
12:18
all
12:18
in
12:18
a
12:18
nerd
12:18
today.
12:20
Well,
12:20
first
12:21
of
12:21
all,
12:21
I
12:21
have
12:21
to
12:21
say
12:22
I
12:22
love
12:22
the
12:22
description
12:23
that
12:24
it's
12:24
a
12:24
hair
12:24
straightener
12:25
holding
12:25
a
12:26
ruler,
12:26
not
12:27
what
12:27
I
12:27
thought
12:27
of.
12:28
And
12:28
I'm
12:28
also
12:28
surprised
12:29
that
12:29
the
12:29
nerds
12:30
know
12:30
what
12:30
a
12:30
hair
12:31
straightener
12:31
is.
12:31
That
12:32
seems
12:32
very
12:32
off
12:32
brand.
12:33
Do
12:33
you
12:33
know
12:33
what
12:33
a
12:33
hair
12:33
straightener.
12:34
Let
12:34
me
12:34
ask
12:35
you
12:35
this.
12:35
Who
12:35
came
12:35
up
12:35
with
12:36
that
12:36
description?
12:36
Was
12:36
it
12:36
a
12:37
dude
12:37
or
12:37
a
12:37
woman?
12:38
It
12:38
was
12:38
probably
12:38
a
12:38
dude.
12:39
It
12:39
was
12:39
100.
12:39
A
12:40
dude
12:40
dude,
12:40
right?
12:40
Like
12:41
a
12:41
hair
12:41
straightener
12:41
with
12:42
a
12:42
ruler?
12:42
I
12:42
think
12:42
so,
12:43
yeah.
12:43
Oh,
12:43
I
12:43
would
12:44
think
12:44
the
12:44
opposite.
12:44
Do
12:45
you
12:45
know
12:45
what
12:45
a
12:45
hair
12:45
straightener
12:46
looks
12:46
like?
12:46
Like,
12:46
do
12:46
you
12:47
think
12:47
the
12:47
average
12:47
man
12:48
knows
12:48
what
12:48
a
12:48
hair
12:49
straightener
12:49
looks
12:49
like?
12:50
Yeah.
12:50
Yeah.
12:50
Is
12:50
it
12:51
actually
12:51
a
12:51
hair
12:51
straightener?
12:52
Yeah,
12:52
I
12:52
guess
12:52
it
12:52
is
12:52
a
12:52
hair
12:53
straightener
12:53
too,
12:53
versus
12:54
a
12:54
curler,
12:55
Right?
12:56
Yes.
12:56
This
12:56
is
12:56
what
12:57
I'm
12:57
talking
12:57
about.
12:57
This
12:58
is.
12:58
I
12:58
don't
12:58
know.
12:58
That's
12:58
why
12:59
I'm
12:59
like,
12:59
maybe.
13:00
Maybe
13:00
it's
13:00
somebody
13:01
else.
13:01
Anyway,
13:01
that's
13:02
beside
13:03
the
13:03
point.
13:03
But
13:03
I
13:03
just
13:03
love
13:04
that
13:04
description
13:04
because
13:05
I
13:05
thought
13:06
that's
13:06
not.
13:06
Does
13:07
not
13:07
sound
13:07
like
13:07
it's
13:07
coming
13:08
from
13:08
Amazon.
13:08
It's
13:09
very,
13:10
like
13:11
something
13:11
for
13:11
the
13:11
common
13:12
person
13:12
to
13:12
understand.
13:14
They
13:14
very
13:14
pr.
13:15
Very
13:15
PR
13:16
teased,
13:16
so
13:16
to
13:17
speak.
13:17
Yes.
13:19
But
13:19
what
13:19
I
13:20
do
13:20
think
13:20
is
13:21
interesting
13:21
and
13:22
why
13:22
I
13:22
do
13:22
think
13:22
that
13:23
the
13:23
hullabaloo
13:23
is
13:23
warranted
13:24
is.
13:24
Is
13:24
really
13:25
kind
13:26
of
13:26
coming
13:26
into
13:26
the
13:26
fore
13:27
a
13:27
little
13:27
bit
13:27
more
13:27
even
13:28
since
13:28
we
13:28
got
13:29
here
13:29
to
13:29
World
13:30
Retail
13:30
Congress.
13:30
And
13:30
I
13:30
think
13:31
that
13:31
that's
13:31
because
13:32
we're
13:32
hearing
13:33
a
13:33
lot
13:33
of
13:33
talk
13:33
about
13:34
investing
13:34
in
13:34
automation
13:35
because
13:36
it's
13:36
one
13:36
of
13:37
the
13:37
things
13:37
that
13:37
can
13:37
help
13:38
operations
13:38
run
13:39
more
13:39
efficiently.
13:40
And
13:40
that's
13:41
something
13:41
that
13:41
retailers
13:42
have
13:42
control
13:42
over
13:43
in
13:43
a
13:43
very
13:44
uncertain
13:44
time
13:45
when
13:45
it
13:45
comes
13:45
to
13:45
supply
13:46
chain
13:47
economic
13:48
activity
13:48
and
13:48
disruption
13:49
and
13:49
all
13:49
these
13:50
things.
13:50
So
13:51
I
13:51
do
13:51
like
13:52
that
13:52
Amazon
13:53
is
13:53
pushing
13:53
further
13:53
to
13:54
figure
13:54
out
13:54
how
13:54
we
13:55
can
13:55
optimize
13:56
all
13:56
of
13:57
our.
13:57
Our,
13:58
our
13:58
warehouse
13:59
operations
14:00
so
14:00
that
14:00
we
14:00
can
14:01
utilize
14:01
our
14:02
human
14:02
workforce
14:03
in
14:03
a
14:03
way
14:03
that
14:03
makes
14:04
the
14:04
most
14:04
sense
14:05
and
14:05
that
14:05
will
14:05
be
14:05
most
14:06
advantageous
14:07
to
14:07
our
14:07
business
14:07
going
14:08
forward.
14:08
So
14:09
that's.
14:09
I
14:09
do
14:09
think
14:10
that
14:10
this
14:10
is
14:10
really
14:10
cool
14:11
in
14:11
that
14:11
regard.
14:12
And
14:12
if
14:12
they
14:12
can
14:12
continue
14:13
to,
14:13
you
14:14
know,
14:14
make
14:14
sure.
14:14
I
14:14
mean,
14:14
it's.
14:15
It's
14:15
really
14:15
fascinating.
14:16
I
14:16
encourage
14:16
people
14:16
to
14:16
watch
14:17
the
14:17
video
14:17
because
14:17
it's
14:17
showing
14:18
like,
14:18
you
14:18
know,
14:18
they.
14:19
It.
14:19
It
14:19
knows
14:20
how
14:20
hard
14:20
to
14:20
squeeze
14:21
a
14:21
product.
14:21
Like,
14:22
you're
14:22
reducing
14:23
damages.
14:23
You
14:23
have
14:24
control
14:24
over
14:24
that.
14:25
And
14:25
those
14:25
are
14:25
things
14:26
that
14:26
you
14:26
really
14:26
have
14:26
to
14:27
train
14:27
people
14:27
on
14:28
to
14:28
do
14:29
to
14:29
make
14:29
sure
14:29
how
14:29
to
14:29
do
14:30
this
14:30
the
14:30
correct
14:30
way.
14:31
So
14:31
if
14:31
you
14:31
can,
14:31
if
14:31
you
14:32
can
14:32
standardize
14:33
this,
14:33
I
14:33
think
14:34
that
14:34
with.
14:34
With
14:35
automation,
14:35
I
14:36
think
14:36
that's
14:36
the
14:36
way
14:36
to
14:37
go
14:37
here.
14:37
But,
14:38
but
14:38
are
14:39
you
14:39
all
14:39
in
14:39
on
14:40
Vulcan?
14:40
I
14:40
can't
14:40
even
14:41
make
14:41
the
14:41
sign,
14:41
Chris.
14:42
Not
14:42
everyone
14:43
can
14:43
do
14:43
that.
14:43
Yes.
14:43
Not
14:43
everyone
14:44
can
14:44
do
14:44
the
14:44
V.
14:44
Yeah,
14:45
I
14:45
mean,
14:45
the
14:45
other
14:45
point,
14:45
too,
14:45
I
14:46
just
14:46
make
14:46
is
14:46
like,
14:46
you
14:46
know,
14:46
it's,
14:47
It's.
14:47
It's
14:47
something
14:47
that
14:48
humans
14:48
just
14:48
traditionally
14:49
do
14:49
better
14:49
than
14:49
a
14:49
robot,
14:50
you
14:50
know,
14:50
regardless
14:51
of
14:51
training.
14:51
Like,
14:51
it's
14:51
just
14:51
we
14:52
have
14:52
the
14:52
dexterity
14:53
and
14:53
the.
14:54
The
14:54
ability
14:54
to
14:54
do
14:55
this
14:55
in
14:55
a
14:55
way
14:55
robots
14:56
can.
14:56
So
14:56
it's
14:57
been
14:57
something
14:57
that
14:57
people
14:57
have
14:58
been
14:58
trying
14:58
to
14:58
crack
14:58
the
14:58
code
14:59
on
14:59
for
14:59
a
14:59
while.
14:59
But,
15:00
you
15:00
know,
15:00
I,
15:00
I
15:01
do
15:01
want
15:01
to
15:01
go
15:01
on
15:01
a
15:01
little
15:01
bit
15:02
of
15:02
a
15:02
rant
15:02
here
15:02
on,
15:02
like,
15:03
why
15:03
are
15:03
these
15:03
names
15:03
so
15:04
dorky?
15:04
Like,
15:05
why
15:05
can't
15:05
we
15:05
ever
15:05
name
15:06
things
15:06
that.
15:06
Why
15:06
do
15:07
they
15:07
always
15:07
have
15:07
to
15:07
name
15:08
things
15:08
after
15:08
sci
15:08
fi
15:09
things?
15:09
Like,
15:09
why
15:09
can't
15:09
we
15:09
name
15:09
things
15:10
after
15:10
characters
15:10
from,
15:10
like,
15:11
Charlotte's
15:11
Web
15:11
or
15:12
Anne
15:12
of
15:12
Green
15:13
Gables?
15:13
And
15:14
like,
15:14
why
15:14
does
15:14
it
15:14
have
15:15
to
15:15
always
15:15
be,
15:15
like,
15:15
Vulcan
15:16
or,
15:16
you
15:17
know,
15:17
Jedi
15:18
or.
15:18
So,
15:18
you
15:18
know,
15:18
I,
15:19
I
15:19
just.
15:19
Anyway,
15:19
but,
15:20
but
15:20
are
15:21
you
15:21
surprised?
15:22
I
15:22
mean,
15:22
I'm
15:22
not.
15:22
No,
15:22
I'm
15:23
not
15:23
surprised.
15:23
How
15:23
many
15:23
Big
15:24
bang
15:24
theories
15:24
have
15:24
you
15:25
watched?
15:25
I
15:25
know
15:25
this.
15:26
I
15:26
get
15:26
so
15:26
tired
15:26
of
15:26
it,
15:27
too.
15:27
Same
15:27
with
15:27
all
15:27
the
15:27
tech
15:28
company
15:28
names
15:28
like
15:28
Penetrobe
15:29
and
15:29
In
15:29
a
15:30
Trobe
15:30
and
15:30
all
15:30
that
15:30
kind
15:30
of
15:30
stuff.
15:31
You
15:31
know,
15:31
it's
15:32
the
15:32
same.
15:32
It's
15:32
the
15:32
same
15:32
realm,
15:33
but.
15:33
But
15:33
net.
15:33
Net.
15:34
I
15:35
think
15:35
it's
15:35
big
15:35
news
15:35
because,
15:36
like,
15:36
you
15:36
know,
15:37
like,
15:37
we
15:37
just
15:37
talked
15:37
about
15:37
it.
15:38
Expand.
15:38
It
15:38
expands
15:39
the
15:39
range
15:39
of
15:40
items
15:40
that
15:40
can
15:40
be
15:40
picked
15:41
mechanically.
15:42
Yes,
15:42
but
15:42
it
15:43
does
15:43
it
15:43
in
15:43
a
15:43
warehouse.
15:43
That's
15:44
the
15:44
point
15:44
I
15:44
would
15:45
make
15:45
on
15:45
the
15:46
second
15:46
part
15:46
of
15:46
a
15:47
question,
15:47
which
15:47
is,
15:47
where
15:47
does
15:48
this
15:48
begin
15:48
and
15:48
end?
15:48
Because
15:49
for
15:49
the
15:50
record,
15:50
after
15:50
last
15:51
week's
15:51
headlines,
15:52
we
15:52
got
15:52
a
15:52
lot
15:52
of
15:52
commentary
15:53
on
15:53
social
15:53
media
15:54
from
15:54
what
15:54
I
15:55
would
15:55
call
15:55
some
15:56
trolls.
15:56
So
15:56
to
15:56
Speak
15:57
about
15:57
in
15:57
store
15:58
robots
15:58
taking
15:59
workers
15:59
jobs
15:59
for
16:00
restocking.
16:01
And
16:01
that
16:01
is
16:02
not
16:03
going
16:03
to
16:03
happen
16:04
anytime
16:05
soon.
16:05
Like,
16:05
for
16:06
that
16:06
to
16:06
happen,
16:06
a
16:06
lot
16:07
of
16:07
things
16:07
need
16:07
to
16:07
come
16:07
together
16:08
and
16:08
this
16:09
whole
16:09
concept
16:09
is
16:10
just,
16:10
just
16:11
taking
16:11
shape
16:11
in
16:12
what
16:12
is
16:12
two
16:12
warehouses
16:13
that
16:13
Amazon
16:14
runs
16:14
throughout
16:15
the
16:15
world.
16:15
Yeah.
16:16
So
16:16
I
16:16
mean,
16:16
for
16:16
that,
16:17
for
16:17
us
16:17
to
16:17
get
16:17
to
16:17
that
16:17
eventuality
16:18
of
16:18
this
16:18
hitting
16:19
in
16:19
store
16:19
reshocking
16:20
and
16:20
shelves,
16:21
process,
16:21
shelving
16:21
processes,
16:22
you
16:23
know,
16:23
I'm
16:23
thinking
16:23
we're
16:24
at
16:24
least
16:24
20
16:24
years
16:24
out
16:25
on
16:25
that
16:25
at
16:25
best.
16:25
Maybe
16:26
somebody
16:26
knows
16:26
better
16:26
than
16:26
I
16:27
do.
16:27
Yeah,
16:28
I
16:28
think
16:28
we're,
16:28
I
16:29
think
16:29
before
16:29
we
16:29
see
16:30
that
16:30
at
16:30
scale
16:31
across
16:31
the
16:31
industry.
16:32
At
16:32
least,
16:32
I
16:32
think.
16:32
Oh,
16:33
it's
16:33
still
16:33
across
16:33
the
16:33
industry.
16:34
Yeah.
16:34
I
16:34
mean,
16:34
like,
16:35
it's
16:35
going
16:35
to
16:35
be
16:35
a
16:35
long
16:36
time.
16:36
At
16:36
least
16:36
10.
16:37
You
16:37
know,
16:37
you
16:37
got
16:37
to
16:37
go
16:38
10
16:38
to
16:38
20
16:38
years
16:38
on
16:39
that.
16:39
I
16:39
mean,
16:40
so,
16:40
you
16:40
know,
16:40
so,
16:41
you
16:42
know,
16:42
but
16:42
it
16:42
works.
16:43
You
16:43
have
16:43
to
16:43
hit
16:43
scale
16:44
in
16:44
the
16:44
warehouse
16:45
first
16:45
because
16:45
that's
16:46
where
16:46
the
16:46
operation
16:46
is
16:46
more
16:47
repetitive
16:48
and
16:48
repeatable.
16:48
It's
16:49
done
16:49
the
16:49
same
16:49
way
16:49
every
16:49
time.
16:50
Stocking
16:50
a
16:50
shelf
16:51
is
16:51
anything
16:51
but.
16:51
That's
16:52
why
16:52
I'm
16:52
taking
16:52
the
16:52
long,
16:52
the
16:53
long
16:53
view
16:53
of
16:54
this,
16:54
you
16:54
know,
16:54
in
16:54
terms
16:54
of
16:55
the
16:55
full
16:55
impact
16:55
of
16:55
the
16:56
industry.
16:56
But
16:56
I
16:56
think
16:56
in
16:56
warehousing,
16:57
it's,
16:57
it's
16:57
probably
16:57
due
16:58
to
16:58
come
16:58
here,
16:58
you
16:59
know,
16:59
fairly
16:59
soon.
17:00
You
17:00
know,
17:00
should
17:00
Amazon
17:01
and
17:01
others
17:01
like
17:01
we've
17:02
seen
17:02
try
17:02
to
17:02
do
17:02
this
17:02
in
17:02
the
17:03
past,
17:03
get,
17:03
get
17:03
traction
17:04
with
17:04
it?
17:04
Well,
17:05
I'll
17:05
take
17:05
the
17:05
under,
17:05
Chris.
17:06
I'll
17:06
take
17:06
the
17:07
under.
17:07
Yeah.
17:07
And
17:08
we'll
17:08
see.
17:08
Oh,
17:08
you're
17:09
betting
17:09
today,
17:09
huh?
17:10
You're
17:10
betting
17:10
on.
17:10
Today,
17:11
you're
17:11
betting
17:11
on
17:11
Vulcan.
17:12
But
17:12
you're,
17:12
you're,
17:13
you're
17:13
right.
17:14
There's
17:14
no.
17:14
I,
17:15
I
17:15
just,
17:15
just.
17:15
I,
17:16
I
17:16
follow
17:16
my
17:16
intuition
17:17
and
17:17
today
17:18
I'm
17:18
taking
17:18
the
17:18
under,
17:19
Chris.
17:19
So
17:19
I.
17:19
You
17:20
can't
17:20
just
17:20
bet
17:21
when
17:21
you
17:21
get
17:22
are
17:22
put
17:22
on
17:22
the
17:23
spot.
17:23
You
17:23
have
17:23
to,
17:24
you
17:24
have
17:24
to
17:24
let
17:24
the
17:24
bet
17:25
find
17:25
you.
17:26
And
17:26
this
17:26
one,
17:26
I'm
17:26
taking
17:27
the
17:27
under.
17:28
All
17:28
right,
17:28
let's
17:29
go
17:29
to
17:29
headline
17:29
number
17:29
three.
17:30
Primark
17:30
has
17:31
unveiled
17:31
its
17:32
first
17:32
US
17:32
in
17:33
store
17:33
repair
17:34
classes,
17:34
according
17:35
to
17:35
Chain
17:35
Storage.
17:36
On
17:36
Thursday,
17:36
the
17:37
global
17:37
value
17:38
fashion
17:38
retailer
17:39
launched
17:39
its
17:40
Love
17:40
it
17:40
for
17:40
Longer
17:41
Repair
17:41
workshop
17:42
at
17:42
its
17:42
Staten
17:43
island
17:43
store.
17:44
Customers
17:44
that
17:45
sign
17:45
up
17:45
for
17:45
the
17:45
free
17:45
class
17:46
will
17:46
learn
17:46
simple
17:47
mending
17:47
and
17:47
upcycling
17:48
techniques
17:48
that
17:49
range
17:49
from
17:49
fixing
17:49
hems
17:50
to
17:50
adding
17:50
buttons
17:51
or
17:51
pockets.
17:52
All
17:52
participants
17:53
will
17:53
receive
17:53
a
17:54
complimentary
17:54
sewing
17:55
kit,
17:55
repair
17:56
booklet
17:56
and
17:56
reusable
17:57
tote
17:57
bag.
17:58
Primark
17:58
officially
17:59
introduced
17:59
Love
18:00
it
18:00
longer
18:00
classes
18:01
in
18:01
2022.
18:02
Currently,
18:03
the
18:03
company
18:03
hosts
18:04
nearly
18:04
400
18:05
free
18:05
sessions
18:05
in
18:06
its
18:06
stores
18:06
across
18:06
the
18:07
UK,
18:07
Ireland,
18:07
the
18:07
Netherlands,
18:08
Italy,
18:08
Belgium,
18:09
Spain,
18:09
and
18:10
France.
18:11
Chris,
18:11
do
18:12
you
18:12
think
18:12
that
18:12
Primark's
18:13
in
18:13
store
18:14
repair
18:14
classes
18:14
push
18:15
all
18:15
the
18:15
right
18:15
buttons,
18:16
or
18:16
do
18:16
you
18:16
think
18:16
this
18:16
is
18:17
just
18:17
a
18:17
silly
18:17
marketing
18:18
gimmick?
18:19
Oh,
18:19
wow.
18:19
You
18:20
know,
18:20
until
18:20
you
18:20
read
18:21
the
18:21
story
18:21
out
18:21
loud,
18:21
I
18:21
didn't
18:22
even
18:22
pick
18:22
up
18:22
the
18:22
double
18:23
entendre
18:23
of
18:23
love
18:23
it
18:24
for
18:24
longer.
18:24
I
18:25
just
18:25
think
18:25
that's
18:25
hilarious.
18:26
But.
18:26
But
18:27
anyway,
18:27
it's.
18:27
To
18:28
that
18:28
point.
18:28
It's.
18:28
It's
18:29
definitely
18:29
a
18:29
marketing
18:30
gimmick.
18:30
But
18:30
yeah,
18:31
it's
18:31
actually
18:32
one.
18:32
It's
18:32
actually
18:32
one.
18:33
I.
18:33
I
18:34
actually
18:34
kind
18:34
of
18:34
like
18:34
it
18:34
a
18:34
lot
18:35
because,
18:36
you
18:36
know,
18:36
we
18:36
talked
18:37
about,
18:37
like,
18:37
yoga
18:38
classes
18:38
and
18:38
other
18:38
activities
18:39
that
18:39
I've
18:39
railed
18:39
on
18:40
on
18:40
past
18:40
shows.
18:41
Ye.
18:42
You
18:42
know,
18:42
as
18:42
shown
18:43
by
18:43
the
18:43
400
18:44
classes
18:44
that
18:44
the
18:45
article
18:45
referenced,
18:45
that
18:45
they've
18:46
that
18:46
pretty
18:46
much
18:46
done
18:47
with
18:47
this
18:47
concept
18:48
throughout
18:48
Europe.
18:49
This,
18:49
again,
18:50
this
18:50
event
18:50
is
18:50
easily
18:51
repeatable
18:51
and
18:52
simple
18:52
to
18:53
execute.
18:53
I
18:53
think
18:53
it's
18:54
pretty
18:54
straightforward.
18:54
And
18:55
so
18:55
for
18:56
those
18:56
that
18:56
are
18:56
interested
18:57
in
18:57
it,
18:57
I
18:57
think
18:57
it
18:57
also
18:57
probably
18:58
drives
18:58
traffic
18:59
to
18:59
the
18:59
store
18:59
in
18:59
that
18:59
day
19:00
now.
19:01
And
19:01
I
19:01
mean,
19:01
here's
19:02
the
19:02
point.
19:02
I
19:02
know
19:02
you're
19:02
thinking
19:03
this
19:03
in
19:03
your
19:03
head
19:03
too,
19:03
but
19:04
is
19:04
Primark
19:04
talking
19:05
out
19:05
of
19:05
both
19:05
sides
19:05
of
19:06
its
19:06
mouth
19:06
on
19:06
sustainability?
19:07
Yeah,
19:08
100%.
19:09
100%.
19:10
Let's
19:11
call.
19:11
Call
19:11
it
19:12
what
19:12
it
19:12
is.
19:13
But
19:13
at
19:13
the
19:13
same
19:13
time,
19:14
the
19:14
items
19:14
are
19:14
inexpensive,
19:15
which
19:15
people
19:16
need.
19:16
Like,
19:16
people
19:17
need
19:17
access
19:17
to
19:18
affordable
19:18
clothing.
19:18
And
19:19
so
19:19
having
19:20
ways
19:20
to
19:20
repair
19:21
them
19:21
or
19:21
augment
19:22
them
19:22
could
19:23
be
19:23
valuable
19:23
to
19:24
a
19:24
certain
19:24
segment
19:25
of
19:25
their
19:25
customer
19:25
base.
19:25
So,
19:26
Net.
19:26
Net,
19:26
I
19:27
like
19:27
this.
19:27
It's
19:28
omnichannel
19:28
and
19:28
design.
19:29
It
19:29
brings
19:29
traffic
19:30
in
19:30
the
19:30
store.
19:31
I
19:31
don't
19:31
have
19:31
any
19:31
complaints
19:32
about
19:32
it
19:32
whatsoever.
19:32
Oh,
19:33
my
19:33
God.
19:33
Well,
19:34
I'll
19:35
start
19:35
with
19:35
where
19:35
I
19:35
agree
19:35
with
19:35
you.
19:36
Yes,
19:36
I
19:37
love
19:37
the
19:37
marketing
19:37
move
19:38
and
19:38
getting
19:38
Primark
19:39
credit
19:39
for
19:39
sustainability.
19:40
Well
19:41
done.
19:41
Yes,
19:42
you're
19:42
doing
19:42
that.
19:43
I
19:43
love
19:43
that
19:44
they're
19:44
creating
19:44
their
19:44
own
19:45
content
19:45
for
19:45
people
19:46
so
19:46
that
19:46
you
19:46
don't
19:47
have
19:47
to
19:47
be
19:47
in
19:47
a
19:47
store.
19:48
There's
19:48
all
19:48
these
19:48
YouTube
19:49
videos
19:49
and
19:49
tutorials
19:50
that
19:50
they're
19:50
also
19:50
putting
19:51
online,
19:51
so
19:52
I
19:52
think
19:52
that's
19:52
good
19:53
for
19:53
them
19:53
from
19:53
a
19:53
brand
19:54
perspective
19:54
and
19:54
definitely
19:55
drives
19:55
traffic
19:55
and
19:56
gets
19:56
their
19:56
name
19:56
out
19:56
there.
19:58
But
19:58
putting
19:59
it
19:59
in
19:59
the
19:59
stores,
20:00
especially
20:01
in
20:01
the
20:01
US
20:02
I
20:02
think
20:02
will
20:02
be
20:03
more
20:03
work
20:03
and
20:03
effort
20:04
than
20:04
it's
20:04
worth
20:04
for
20:04
the
20:04
stores
20:05
teams,
20:05
I
20:05
don't
20:06
think.
20:07
I
20:07
don't
20:07
think
20:07
this
20:07
is
20:08
any
20:08
different
20:08
than
20:09
doing
20:09
a
20:09
yoga
20:09
class.
20:10
I
20:10
think
20:10
it's
20:11
the
20:11
same.
20:12
It's
20:12
the
20:12
same
20:12
effort
20:13
for
20:14
that
20:14
team
20:14
to
20:15
clear
20:15
the
20:15
space,
20:16
make
20:16
sure
20:16
that
20:17
they
20:17
have
20:17
somebody
20:17
check
20:18
people
20:18
in.
20:18
And
20:19
I
20:19
really
20:19
think
20:20
that
20:20
when
20:21
you
20:21
talk
20:21
about
20:21
the
20:22
Primark
20:22
product.
20:23
A
20:23
five
20:24
dollar
20:24
T
20:24
shirt
20:24
is
20:25
not
20:25
something
20:25
I'm,
20:26
I'm
20:26
investing
20:27
time
20:27
to
20:28
fix.
20:28
I
20:28
will
20:28
just
20:28
buy
20:28
another
20:29
five
20:29
dollar
20:29
T
20:29
shirt.
20:30
So
20:30
if
20:30
I
20:30
were
20:31
Primark,
20:31
I
20:31
think
20:31
I
20:32
would
20:32
do
20:32
the
20:33
opposite.
20:33
I
20:33
would
20:33
focus
20:34
more
20:34
on
20:34
like
20:34
a
20:34
clothing
20:35
recycling
20:36
program
20:36
with
20:36
some
20:36
sort
20:37
of
20:37
incentive
20:37
to
20:38
your
20:38
point,
20:38
because
20:39
people
20:40
affordable
20:40
clothing.
20:41
But
20:41
I
20:41
think
20:41
I
20:41
would
20:42
focus
20:42
on
20:42
like
20:42
we're
20:43
going
20:43
to
20:43
recycle
20:43
these
20:44
clothes,
20:44
bring
20:44
your
20:45
bag
20:45
in
20:45
and
20:45
get
20:45
a
20:45
$5,
20:46
you
20:46
know,
20:47
coupon
20:47
or
20:47
some
20:48
sort
20:48
of
20:48
incentive
20:49
for
20:49
people
20:49
to
20:50
participate
20:50
in
20:50
this
20:50
because
20:51
Even
20:51
though
20:51
there's
20:52
400
20:52
of
20:52
these
20:53
classes
20:53
that
20:53
they've
20:54
done
20:54
across
20:54
a
20:54
multitude
20:55
of
20:55
cities
20:55
all
20:55
over
20:56
Europe,
20:56
like
20:56
we
20:56
don't
20:57
know
20:57
if
20:57
there's
20:57
two
20:57
people
20:58
per
20:58
class
20:58
and
20:58
they're
20:59
just
20:59
like
20:59
box
20:59
checked
21:00
or
21:00
if
21:00
anybody
21:00
comes
21:01
to
21:01
these
21:01
classes.
21:01
I
21:01
just,
21:02
I
21:02
could
21:02
see
21:02
this
21:03
from
21:03
a
21:03
retailer
21:04
like
21:04
a
21:04
Macy's
21:04
or
21:05
Nordstrom
21:05
where
21:05
it
21:05
does
21:06
make
21:06
sense
21:06
to
21:06
invest
21:07
in
21:07
like,
21:07
like
21:08
upgrading
21:08
or
21:09
repairing
21:10
product
21:10
that's
21:10
of
21:11
a
21:11
little
21:11
bit
21:11
higher
21:11
value.
21:12
But
21:12
there's
21:13
no
21:13
way
21:13
in
21:13
hell
21:13
I'm
21:14
doing
21:14
a
21:14
repair
21:15
class
21:15
on
21:15
a
21:16
five
21:16
dollar
21:16
T
21:16
shirt
21:17
that
21:17
my
21:17
kid
21:17
rips
21:17
a
21:17
hole
21:18
in.
21:18
Just.
21:19
Yeah,
21:20
well
21:21
your
21:21
point
21:21
about
21:21
too
21:21
is
21:22
like
21:22
how
21:22
does
21:22
this
21:22
play
21:22
in
21:22
America
21:23
versus
21:23
Europe
21:23
which
21:24
is
21:24
the
21:24
context
21:26
of
21:26
all
21:26
places.
21:27
Like
21:27
yeah,
21:27
I
21:27
thought
21:28
that
21:28
was
21:28
crazy.
21:29
Yeah,
21:29
yeah.
21:30
Wow.
21:30
Shots
21:31
fired.
21:31
Staten
21:31
Island.
21:32
Yeah.
21:32
Wow.
21:34
But,
21:34
but,
21:34
yeah,
21:35
but
21:35
no,
21:35
it's
21:35
a
21:35
great
21:35
point
21:36
and
21:36
you
21:36
know,
21:36
it's
21:36
actually,
21:36
you
21:37
know,
21:37
the,
21:37
the,
21:38
the,
21:38
the
21:39
differences
21:39
between
21:39
the
21:39
American
21:40
and
21:40
European
21:40
consumer
21:41
we're
21:41
going
21:41
to
21:41
touch
21:41
on
21:41
in
21:41
the
21:41
next
21:42
headline
21:42
too.
21:42
But
21:42
before
21:43
we
21:43
do
21:43
that,
21:43
we've
21:43
got
21:43
to
21:44
bring
21:44
Justin
21:44
from
21:45
AWS
21:45
on
21:45
today's
21:46
show.
21:48
Joining
21:48
us
21:48
now
21:48
for
21:49
our
21:49
five
21:49
insightful
21:49
minutes
21:50
is
21:50
Justin
21:50
Swagler.
21:51
Justin
21:51
is
21:51
the
21:52
worldwide
21:52
head
21:52
of
21:52
physical
21:53
retail
21:53
for
21:54
aws.
21:55
Justin,
21:56
let's
21:56
start
21:56
with
21:56
this.
21:57
I
21:57
imagine
21:57
I,
21:57
I
21:58
know
21:58
the
21:58
answer
21:58
to
21:58
this
21:58
question
21:59
based
21:59
on
21:59
your
21:59
title,
21:59
but
22:00
given
22:00
the
22:00
rise
22:00
of
22:00
e
22:01
commerce
22:01
and
22:01
digital
22:02
shopping
22:03
habits,
22:03
do
22:04
physical
22:04
stores
22:05
still
22:05
matter?
22:07
The
22:08
unequivocal
22:08
answer
22:09
is
22:09
yes.
22:09
Physical
22:10
stores
22:10
still
22:10
matter
22:11
for
22:11
all
22:12
retailers
22:12
across
22:12
all
22:13
segments
22:13
and
22:13
geographies.
22:14
What
22:15
we're
22:15
seeing
22:15
is
22:16
at
22:16
least
22:16
80%
22:17
if
22:17
not
22:18
more
22:18
of
22:18
retail
22:19
sales
22:19
are
22:20
happening
22:20
physical
22:21
stores.
22:22
But
22:22
what
22:23
we're
22:23
seeing
22:23
is
22:24
kind
22:24
of
22:24
a
22:24
store
22:24
renaissance.
22:25
You
22:25
know,
22:25
during
22:26
the
22:26
days
22:26
of
22:26
the
22:26
pandemic,
22:27
retailers
22:27
had
22:28
focused
22:28
so
22:28
much
22:28
on
22:29
the
22:29
investments
22:29
in
22:29
new
22:30
technologies
22:30
for
22:30
digital
22:31
and
22:31
mobile
22:31
shopping,
22:32
but
22:33
now
22:33
they're
22:33
re
22:34
looking
22:34
at
22:34
their
22:34
physical
22:35
stores.
22:35
And
22:35
how
22:36
do
22:36
I
22:36
unify
22:36
the
22:37
journey
22:37
from
22:38
online
22:39
into
22:39
the
22:39
physical
22:40
world
22:40
and
22:41
creating
22:41
that
22:41
connected
22:42
holistic
22:43
experience?
22:44
For
22:44
their
22:44
consumers,
22:45
as
22:45
well
22:45
as
22:46
investing
22:47
in
22:47
optimizing
22:48
their
22:48
operations
22:49
and
22:49
workforce
22:50
efficiency.
22:52
Overall,
22:52
retailers
22:53
are
22:53
really
22:53
looking
22:54
at
22:54
how
22:54
do
22:54
I
22:54
deliver
22:55
that
22:55
efficient
22:56
shopping
22:56
experience
22:57
and
22:57
provide
22:57
the
22:58
digital
22:58
tools
22:58
and
22:59
capabilities
22:59
to
23:00
improve
23:00
the
23:01
operations.
23:02
What
23:02
technologies
23:03
are
23:03
the
23:04
ones
23:04
that
23:04
retailers
23:05
need
23:05
to
23:05
be
23:06
focused
23:06
on
23:06
then
23:07
for
23:07
their
23:07
stores
23:08
to
23:08
succeed?
23:09
Yeah,
23:10
there's,
23:10
there's
23:10
a
23:10
lot
23:10
of
23:10
different
23:11
approaches
23:11
and
23:11
the
23:12
way
23:12
that
23:12
we're
23:12
working
23:13
with
23:13
customers
23:13
and
23:14
as
23:14
we
23:14
think
23:14
about
23:14
it,
23:14
is
23:15
kind
23:15
of
23:15
three
23:16
key
23:16
strategies
23:17
or
23:17
pillars.
23:17
So
23:18
first
23:18
is
23:18
around
23:18
edge.
23:19
You
23:19
know,
23:19
retailers
23:20
and
23:20
stores,
23:21
they
23:21
may
23:21
have
23:21
hundreds
23:21
or
23:22
thousands
23:22
of
23:22
distributed
23:23
physical
23:23
locations,
23:25
but
23:25
in
23:25
order
23:26
to
23:26
deploy
23:27
new
23:27
technologies,
23:28
they
23:28
need
23:28
to
23:28
balance
23:29
what
23:29
do
23:29
I
23:29
do
23:29
in
23:29
the
23:29
cloud
23:30
versus
23:30
what
23:30
do
23:30
I
23:30
do?
23:31
And
23:31
edge
23:32
hardware
23:32
servers.
23:33
And
23:33
so
23:34
being
23:34
able
23:34
to
23:34
have
23:34
a
23:35
more
23:35
modern
23:35
edge
23:36
versus
23:36
cloud
23:37
strategy
23:38
helps
23:38
provide
23:38
the
23:39
right
23:39
infrastructure
23:39
and
23:40
those
23:40
capabilities
23:41
to
23:41
deploy
23:41
those
23:42
new
23:42
services.
23:43
Second,
23:43
we're
23:44
starting
23:44
to
23:44
also
23:44
see
23:45
more
23:45
advancements
23:45
in
23:45
areas
23:46
like
23:46
computer
23:46
vision
23:47
and
23:47
IoT
23:48
or
23:48
other
23:48
advanced
23:49
workloads
23:49
in
23:49
stores.
23:50
So
23:50
being
23:51
able
23:51
to
23:51
understand
23:51
consumer
23:52
behavior
23:53
with
23:53
existing
23:53
cameras
23:54
in
23:54
store,
23:55
to
23:55
understand
23:56
where
23:56
do
23:56
they
23:56
go,
23:57
what
23:57
areas
23:57
of
23:57
the
23:58
store
23:58
are
23:58
they
23:58
looking
23:59
at
23:59
and
23:59
what
24:00
do
24:00
they
24:00
end
24:00
up
24:00
transacting
24:01
from
24:01
there
24:02
and
24:02
then
24:03
unifying
24:03
those
24:03
data
24:04
and
24:04
capabilities
24:05
in
24:05
order
24:05
to
24:05
really
24:06
get
24:06
that
24:06
enhanced
24:07
overall
24:07
operational
24:08
and
24:08
consumer
24:09
view
24:09
within
24:09
the
24:10
physical
24:10
stores.
24:11
So,
24:12
Justin,
24:12
what
24:12
would
24:12
your
24:13
advice
24:13
be
24:13
then?
24:14
To
24:14
make
24:14
sure
24:14
that
24:15
retailers
24:15
are
24:15
consistently.
24:16
Reinventing
24:17
the
24:17
customer
24:17
experience,
24:18
but
24:18
then
24:19
also.
24:19
Balancing
24:19
that
24:20
with
24:20
optimizing
24:21
operational
24:22
costs
24:22
and
24:22
efficiency?
24:24
Yeah.
24:24
So
24:24
a
24:25
lot
24:25
of
24:25
it
24:25
is
24:25
starting
24:25
to
24:25
look
24:26
at
24:26
the
24:26
connective
24:26
tissue.
24:27
Right.
24:27
I
24:27
hear
24:27
from
24:27
a
24:28
lot
24:28
of
24:28
I
24:28
have
24:29
all
24:29
these
24:29
in
24:29
store
24:29
technologies.
24:30
How
24:31
do
24:31
I
24:31
stitch
24:31
them
24:32
together?
24:33
Right.
24:33
And
24:33
really
24:34
to
24:34
be
24:34
able
24:34
to
24:35
advance
24:36
and
24:36
to
24:36
provide
24:37
that
24:37
efficiency
24:37
and
24:38
experience,
24:38
you
24:38
got
24:38
to
24:39
really
24:39
start
24:39
to
24:40
connect
24:40
and
24:40
unify
24:41
those
24:41
data
24:41
sources
24:43
and
24:43
then
24:43
start
24:43
to
24:44
bring
24:44
in
24:44
some
24:44
of
24:44
the
24:44
AI
24:45
and
24:45
agentic
24:46
capabilities
24:47
from
24:47
there
24:48
to
24:49
connect
24:49
those
24:49
sources.
24:50
And
24:50
that's
24:50
where
24:50
really
24:51
the
24:51
future
24:51
of
24:52
stores
24:52
is
24:52
going
24:52
to
24:53
go
24:53
is,
24:53
you
24:54
know,
24:54
as
24:54
events
24:54
get
24:54
triggered,
24:55
whether
24:55
it's
24:56
through
24:56
cameras
24:56
or
24:56
inventory
24:57
or
24:57
checkout
24:58
lines,
24:59
how
24:59
do
24:59
I
24:59
automate
25:00
the
25:00
workflow
25:01
to
25:01
provide
25:01
that
25:02
great
25:02
experience
25:02
or
25:03
to
25:03
ensure
25:03
my
25:04
staff
25:04
are
25:04
doing
25:04
the
25:04
right
25:05
tasks
25:05
and
25:05
the
25:05
right
25:06
work
25:06
when
25:06
they
25:06
need
25:07
to
25:07
do
25:07
it
25:07
at
25:08
that
25:08
right
25:08
time.
25:10
Gotcha.
25:10
I
25:10
wasn't
25:11
expecting
25:11
the
25:11
agentic
25:12
AI
25:12
drop
25:12
there,
25:12
but
25:13
I'm
25:13
always
25:13
open
25:13
to
25:14
hear
25:14
more
25:14
about
25:14
it.
25:15
So
25:15
let's
25:15
get
25:15
you
25:15
out
25:15
of
25:15
here
25:16
on
25:16
this
25:16
then.
25:16
So
25:16
if
25:17
I
25:17
take
25:17
a
25:17
longer
25:18
term
25:18
vision,
25:19
what
25:19
do
25:19
retailers
25:20
need
25:20
to
25:20
take
25:20
action
25:21
on
25:21
now
25:22
to
25:22
drive
25:22
more
25:23
value
25:23
for
25:23
their
25:23
customers
25:24
in
25:24
the
25:25
future?
25:26
Yeah.
25:26
So
25:26
once
25:26
you
25:26
Kind
25:27
of
25:27
set
25:27
up
25:27
the
25:27
edge
25:27
and
25:27
you
25:28
bring
25:28
in
25:28
some
25:28
of
25:28
those
25:28
advanced
25:29
kind
25:29
of
25:29
applications
25:30
and
25:30
workloads,
25:31
you
25:31
stitch
25:32
that
25:32
together
25:33
and
25:33
I
25:33
believe
25:34
we're
25:34
going
25:34
to
25:34
be
25:34
creating
25:35
agentic
25:35
stores
25:36
where
25:36
it's
25:37
going
25:37
to
25:37
be
25:37
a
25:37
lot
25:37
of
25:37
automation
25:38
and
25:39
orchestration
25:40
of
25:40
key
25:40
events
25:41
and
25:41
workloads
25:41
that
25:41
need
25:42
to
25:42
happen.
25:42
Now
25:43
this
25:43
is
25:43
not,
25:43
you
25:43
know,
25:44
to
25:44
say
25:44
it's
25:44
impacting
25:45
staffing
25:45
levels
25:46
in
25:46
stores,
25:46
but
25:47
it's
25:47
helping
25:47
to
25:47
drive
25:48
high
25:48
value
25:48
interactions
25:49
and
25:49
work
25:50
for
25:50
workforce
25:51
and
25:51
stores
25:51
that
25:52
lead
25:52
to
25:52
better
25:53
experience.
25:54
So
25:54
I'm
25:54
sure
25:54
you've
25:54
been
25:55
to
25:55
like
25:55
a
25:55
QSR
25:56
restaurant
25:56
and
25:56
the
25:56
ice
25:56
cream
25:57
machine
25:57
is
25:57
out
25:57
or
25:58
you
25:58
go
25:58
to
25:58
the
25:58
store
25:58
and
25:58
that
25:59
inventory
25:59
is
25:59
off
25:59
the
25:59
shelf.
26:00
Typically
26:01
it's
26:01
very
26:01
manual
26:02
for
26:02
it
26:02
to
26:02
be
26:02
addressed.
26:04
Once
26:04
you
26:04
unify
26:04
that
26:05
data
26:05
and
26:05
you
26:05
start
26:05
to
26:06
bring
26:06
in
26:06
agent
26:06
to
26:06
capabilities,
26:07
I
26:07
can
26:08
now
26:09
automate
26:09
that.
26:10
So
26:10
if
26:10
an
26:10
equipment's
26:11
broken,
26:11
get
26:12
that
26:12
ticket
26:12
to
26:13
address
26:13
it.
26:13
If
26:14
there's
26:14
items
26:14
out
26:15
of
26:15
the
26:15
stock,
26:15
let's
26:16
reorder
26:16
the
26:16
inventory
26:17
automatically.
26:18
Let's
26:18
get
26:18
the
26:18
task
26:19
assigned
26:19
to
26:19
get
26:19
the
26:20
workforce
26:20
to
26:20
restock
26:21
it,
26:21
let's
26:21
remove
26:22
it
26:22
from
26:22
any
26:23
mobile
26:23
ordering
26:23
for
26:24
pickup
26:24
in
26:24
store,
26:25
et
26:25
cetera.
26:25
So
26:26
those
26:26
are
26:26
the
26:26
types
26:26
of
26:26
things
26:27
we
26:27
need
26:27
to
26:27
think
26:27
about
26:28
for
26:28
retailers
26:29
to
26:29
be
26:29
able
26:29
to
26:29
deploy
26:30
those
26:30
types
26:31
of
26:31
capabilities
26:31
in
26:32
5,
26:32
10,
26:33
15
26:33
years
26:33
down
26:33
the
26:34
line.
26:35
Geez,
26:35
Chelsea,
26:36
you
26:36
just
26:36
blew
26:36
my
26:36
mind.
26:36
Oh
26:37
my
26:37
God.
26:37
Thank
26:37
you
26:38
so
26:38
much.
26:38
Thanks
26:38
Justin.
26:44
Okay,
26:44
headline
26:44
number
26:45
four.
26:45
ASOS
26:45
is
26:45
offering
26:46
next
26:46
day
26:46
delivery
26:47
to
26:47
in
26:47
post
26:48
lockers.
26:48
According
26:48
to
26:49
Internet
26:49
retailing,
26:50
shoppers
26:50
will
26:50
be
26:51
able
26:51
to
26:51
select
26:51
impulse
26:52
lockers
26:52
at
26:52
checkout
26:53
as
26:53
their
26:53
primary
26:54
out
26:54
of
26:54
home
26:55
delivery
26:56
option,
26:56
giving
26:56
them
26:56
greater
26:57
speed,
26:57
flexibility
26:58
and
26:58
convenience.
26:59
The
26:59
service
26:59
is
27:00
available
27:00
for
27:00
all
27:00
ASOS
27:01
customers.
27:01
With
27:01
ASOS
27:02
Premier
27:03
customers
27:03
receiving
27:04
free
27:04
delivery.
27:05
David
27:05
Flavel,
27:06
Director
27:07
of
27:07
Delivery
27:07
Solutions
27:08
of
27:08
asos
27:09
had
27:09
this
27:09
to
27:09
say.
27:09
Quote,
27:10
we
27:10
know
27:10
that
27:11
customers
27:11
come
27:11
to
27:11
ASOS
27:12
for
27:12
the
27:12
latest
27:12
fashion
27:12
when
27:13
they
27:13
want
27:13
it.
27:13
Adding
27:13
in
27:14
Post's
27:14
extensive
27:14
network
27:15
of
27:15
over
27:15
16,000
27:16
lockers
27:16
and
27:16
partial
27:17
shops
27:17
to
27:17
our
27:17
offerings
27:18
with
27:18
the
27:18
next
27:18
day
27:19
delivery
27:19
gives
27:19
customers
27:20
even
27:20
more
27:20
choice
27:20
and
27:20
convenience
27:21
in
27:21
how
27:21
they
27:21
get
27:22
the
27:22
fashion
27:22
they
27:23
love.
27:24
End
27:24
quote.
27:25
And
27:26
could
27:26
you
27:26
ever
27:26
see
27:27
us
27:27
fashion
27:28
customers
27:28
ordering
27:29
pickup?
27:29
Going
27:29
back
27:30
to
27:30
what
27:30
we
27:30
talked
27:30
about
27:30
before.
27:31
Out
27:31
of
27:32
home
27:33
lockers,
27:35
out
27:35
of
27:35
home
27:35
lockers.
27:36
That's
27:36
100
27:37
way
27:37
to
27:37
say
27:37
that
27:38
you
27:38
do
27:38
100.
27:39
I
27:39
think
27:39
this
27:39
is
27:40
a
27:40
win
27:40
all
27:40
around.
27:41
I
27:42
think
27:42
especially,
27:43
I
27:43
mean
27:43
I
27:44
order
27:44
a
27:44
lot
27:44
of
27:44
things
27:45
online
27:45
and
27:45
I
27:45
think
27:46
when
27:46
you,
27:46
you
27:47
look
27:47
at
27:47
the,
27:48
the
27:48
I
27:48
think
27:49
movement
27:49
we've
27:50
seen
27:50
towards
27:51
in
27:51
store
27:51
pickup
27:52
for
27:52
people,
27:52
I
27:53
mean
27:53
that
27:53
is
27:53
has
27:54
grown
27:55
tremendously
27:55
over
27:56
the
27:56
course
27:56
of
27:56
the
27:56
last
27:56
couple
27:57
years,
27:57
especially
27:57
since
27:57
the
27:58
pandemic.
27:58
And
27:59
I
27:59
think
27:59
that
27:59
this
27:59
is
28:00
the
28:00
smartest
28:01
way
28:01
that
28:02
asos,
28:02
an
28:03
online
28:03
retailer,
28:04
can
28:04
get
28:05
product
28:06
to
28:06
their
28:06
customers
28:06
and
28:07
can
28:07
get
28:07
me
28:07
to
28:08
go
28:08
to
28:08
ASOS
28:09
when
28:09
I
28:09
might
28:09
have
28:09
other
28:10
options
28:10
to
28:10
go
28:11
to.
28:11
Because
28:11
before
28:12
it
28:12
was
28:12
everybody's
28:13
seven
28:13
days
28:14
or
28:14
three
28:14
days,
28:14
three
28:15
days
28:15
or
28:15
three
28:16
to
28:16
five
28:16
days,
28:16
but
28:17
it
28:17
costs
28:17
a
28:17
lot
28:18
of
28:18
money
28:18
and
28:18
now
28:19
you
28:19
can
28:19
get
28:19
a
28:19
low
28:19
cost
28:20
product
28:20
the
28:20
next
28:21
day
28:21
and
28:22
ASOS
28:22
can
28:23
put
28:23
all
28:23
those
28:23
deliveries
28:24
into
28:24
the
28:24
lockers.
28:25
They're
28:25
not
28:25
delivering
28:26
this
28:26
one
28:26
to
28:26
one,
28:27
they're
28:28
doing
28:28
all
28:28
these
28:28
deliveries
28:29
into
28:29
one
28:29
locker.
28:30
We're
28:30
seeing
28:31
like
28:31
people
28:32
in,
28:32
and
28:33
retailers
28:33
and
28:33
partners
28:34
in,
28:35
in
28:35
Europe
28:36
and
28:36
across
28:38
a
28:38
lot
28:38
of
28:38
the
28:39
European
28:39
countries
28:40
who
28:40
are
28:40
working
28:41
with
28:41
people
28:41
like
28:41
Cleveron
28:42
to
28:42
do
28:43
this,
28:43
this
28:43
with
28:44
not
28:44
just
28:45
retailer
28:46
to
28:46
consumer
28:48
drop
28:48
off,
28:48
but
28:49
we're
28:49
also
28:50
seeing
28:50
them
28:50
use
28:50
these
28:50
for
28:51
peer
28:51
to
28:51
peer
28:51
exchanges,
28:52
which
28:52
I
28:52
think
28:52
could
28:52
be
28:53
even
28:53
more
28:53
interesting.
28:54
Get
28:54
more
28:54
utilization
28:55
of
28:55
the
28:55
lockers.
28:56
So
28:56
I
28:56
love
28:57
this.
28:57
I
28:57
think
28:57
it's
28:58
a
28:58
very
29:00
smart
29:00
way
29:00
for
29:01
ASOS
29:01
to
29:02
be
29:02
able
29:02
to
29:02
offer
29:02
something
29:03
like
29:03
this
29:03
without
29:04
totally
29:04
bogging
29:05
them
29:05
down
29:05
with
29:05
the
29:06
costs
29:06
of,
29:06
of
29:07
instant
29:07
delivery.
29:08
But
29:09
you're,
29:09
I
29:09
don't
29:10
know,
29:10
you're
29:10
not
29:10
giving
29:11
me
29:11
like,
29:11
like
29:11
go
29:12
forward
29:12
vibes
29:13
on
29:13
this,
29:13
Chris.
29:13
I'm
29:14
gonna
29:14
slow
29:14
my
29:14
roll
29:15
on
29:15
this
29:15
one
29:15
a
29:15
little
29:15
bit
29:16
compared
29:16
to
29:16
you.
29:16
Yeah,
29:17
I
29:17
mean,
29:17
I
29:18
think
29:18
it,
29:18
I
29:18
think
29:18
it's
29:18
a
29:18
great
29:18
idea
29:19
for
29:19
Europe.
29:19
I
29:19
mean,
29:19
I
29:19
think
29:20
the
29:20
model
29:20
are,
29:20
I
29:20
mean
29:20
the,
29:21
it
29:21
seems
29:21
like
29:21
the
29:21
model's
29:22
already
29:22
tested
29:22
for
29:22
the
29:22
most
29:22
part
29:23
in
29:23
Europe.
29:24
You
29:24
know,
29:24
in
29:24
terms
29:25
of
29:25
the
29:25
different
29:25
countries
29:26
we've
29:26
talked
29:26
about
29:26
and
29:26
covered
29:27
in
29:27
the
29:27
history
29:27
on
29:27
this
29:27
show.
29:29
But
29:30
in
29:30
the
29:30
US
29:30
I
29:31
feel
29:31
like,
29:31
I
29:31
feel
29:31
like
29:31
there's
29:32
some
29:32
different
29:32
dynamics
29:33
here,
29:33
I
29:33
think.
29:33
Yeah,
29:35
you
29:35
know,
29:35
one
29:36
like
29:37
for
29:37
next
29:37
day
29:37
service,
29:38
like,
29:38
I
29:38
don't
29:38
know
29:38
if
29:38
I've
29:39
got
29:39
a
29:39
clothing
29:39
emergency,
29:40
I'm
29:40
probably
29:40
just
29:40
gonna
29:40
go
29:40
into
29:41
the
29:41
store
29:41
and
29:41
elect
29:41
pickup.
29:42
And
29:42
then
29:42
I
29:42
think
29:42
also
29:43
the,
29:43
the,
29:44
the
29:45
population
29:46
density
29:47
dynamics
29:47
in
29:48
the
29:48
United
29:48
States
29:48
are
29:48
quite
29:49
different
29:49
than
29:49
they
29:49
are
29:49
in
29:49
Europe
29:50
too.
29:50
So
29:50
that
29:50
makes
29:51
this
29:51
whole
29:51
locker
29:52
utilization
29:53
and
29:53
where
29:53
do
29:53
you
29:53
place
29:53
the
29:53
lockers
29:54
thing
29:54
a
29:54
little
29:54
bit
29:54
of
29:55
a
29:55
different,
29:55
different
29:56
battle.
29:56
I
29:56
could
29:56
see
29:57
it
29:57
taking,
29:58
I
29:58
could
29:58
see
29:58
it
29:58
becoming
29:59
something
29:59
that
29:59
we
29:59
do
29:59
as
30:00
a
30:00
norm.
30:00
But
30:00
like
30:00
everything
30:00
in
30:01
Europe,
30:01
I
30:01
feel
30:01
like
30:01
we're
30:02
at
30:02
least
30:02
10
30:02
years
30:02
away
30:03
from
30:03
it.
30:03
So,
30:03
so,
30:04
you
30:04
know,
30:04
if
30:04
you
30:04
and
30:04
I
30:04
are
30:04
talking
30:05
about
30:05
it
30:05
now
30:05
with
30:05
ASOS's,
30:06
you
30:07
know,
30:07
out
30:07
of
30:07
home
30:07
lockers,
30:08
we're,
30:08
we're
30:08
not
30:08
going
30:08
to
30:09
be
30:09
seeing
30:09
it
30:09
in
30:09
the
30:09
US
30:09
until
30:10
2035,
30:11
which
30:11
is
30:11
kind
30:12
of
30:12
sad
30:12
and
30:12
depressing
30:12
when
30:13
I
30:13
say
30:13
that
30:13
out
30:13
loud,
30:13
but
30:14
it's
30:14
probably
30:15
true
30:15
given
30:15
the
30:16
amount
30:16
of
30:16
coverage
30:16
and
30:16
what
30:17
we've
30:17
seen
30:17
in
30:17
the
30:17
trends
30:18
on
30:18
things
30:18
like
30:18
this
30:18
in
30:18
the
30:18
show
30:19
throughout
30:19
the
30:19
years.
30:19
I
30:19
mean,
30:20
there's
30:20
still
30:20
things
30:20
we
30:20
were
30:21
talking
30:21
about
30:21
that,
30:21
you
30:21
know,
30:21
are
30:22
just
30:22
now
30:22
coming
30:22
to
30:22
the
30:22
forefront,
30:23
so.
30:23
Sure.
30:23
I
30:24
don't
30:24
know
30:24
that
30:24
that's,
30:24
that's
30:25
my
30:25
take.
30:25
It's
30:25
like
30:25
one
30:26
of
30:26
those
30:26
things,
30:26
like,
30:27
yeah,
30:27
I
30:27
wish
30:27
we
30:28
could
30:28
be
30:28
like
30:28
this,
30:28
but
30:28
I
30:29
just
30:29
don't
30:29
know
30:29
that
30:29
the
30:29
US
30:30
consumer
30:31
will
30:31
ever
30:31
be
30:31
that
30:31
way.
30:32
Yeah,
30:32
I
30:32
mean,
30:32
I
30:33
do.
30:33
I
30:34
totally
30:34
see
30:34
your
30:35
point.
30:35
I
30:35
do
30:35
think
30:36
though,
30:36
with
30:36
asos,
30:37
that
30:37
is
30:37
a
30:38
lower
30:38
cost
30:39
online
30:40
only
30:41
fashion
30:41
forward
30:42
like
30:42
retailer
30:43
being
30:44
able
30:44
to
30:44
get
30:45
this
30:45
next
30:45
day
30:46
is
30:46
another
30:47
option.
30:47
Like,
30:48
I
30:48
don't
30:48
want
30:48
to
30:49
go
30:49
to
30:49
Walmart
30:50
or
30:50
settle
30:51
the
30:51
T
30:51
shirt
30:52
there.
30:52
Like,
30:53
to
30:53
the
30:53
idea
30:53
that
30:54
you
30:54
can
30:54
get
30:54
this
30:55
fashion
30:55
to
30:55
you,
30:55
which
30:56
I
30:56
think
30:56
the
30:56
competitors
30:57
are
30:57
a
30:57
Teemu
30:58
or
30:58
a
30:58
Shein
30:59
or
30:59
some
30:59
of
30:59
these
30:59
other
31:00
things
31:00
where
31:00
you're
31:00
waiting
31:00
weeks
31:01
for
31:01
product.
31:01
Like
31:01
these
31:02
idea
31:02
that
31:02
you
31:02
can
31:02
get
31:02
it
31:02
next
31:03
day
31:03
I
31:03
think
31:03
is
31:03
really
31:03
smart.
31:04
But,
31:04
but,
31:05
but
31:06
I
31:06
can
31:06
understand
31:07
the
31:07
U.S.
31:08
we're
31:08
just,
31:09
man,
31:10
we're
31:10
just
31:10
slow
31:11
rolling
31:11
with
31:12
some
31:12
of
31:12
these
31:12
things.
31:13
We'd
31:13
like
31:13
stuff
31:14
to
31:14
come
31:14
to
31:14
us.
31:14
I'd
31:15
rather
31:15
spend
31:15
$3
31:16
on
31:16
a
31:16
gallon
31:16
of
31:16
gas.
31:17
Go
31:17
drive
31:17
and
31:17
pay.
31:18
That's
31:19
right.
31:20
All
31:20
right,
31:20
let's
31:20
go
31:20
to
31:20
headline
31:21
number
31:21
five.
31:22
LTK
31:22
is
31:23
partnering
31:23
with
31:23
the
31:23
Bachelor
31:24
franchise
31:25
to
31:25
launch
31:25
a
31:25
social
31:26
commerce
31:27
experience.
31:28
According
31:28
to
31:28
an
31:28
LTK
31:29
press
31:29
release,
31:29
the
31:30
official
31:30
Bachelor
31:31
nation,
31:31
which
31:31
Chris,
31:32
you
31:32
are
31:32
a
31:32
part
31:33
of,
31:33
I
31:33
became
31:34
a
31:34
part
31:34
of
31:34
with
31:34
Golden
31:35
Bachelor.
31:35
The
31:36
LTK
31:37
channel
31:37
is
31:37
now
31:38
available
31:39
and
31:39
introducing
31:40
a
31:40
new
31:40
way
31:40
for
31:40
fans
31:41
to
31:41
engage
31:41
with
31:41
their
31:41
favorite
31:42
reality
31:43
TV
31:43
franchise.
31:44
The
31:44
new
31:44
channel
31:45
allows
31:45
fans
31:46
to
31:46
shop
31:46
fashion,
31:47
beauty
31:47
and
31:47
home
31:47
products
31:48
that
31:48
have
31:48
that
31:49
cast,
31:49
have
31:49
worn
31:50
and
31:50
used
31:51
through
31:51
the
31:51
LTK
31:52
consumer
31:52
app.
31:52
So
31:53
for
31:53
background,
31:53
for
31:53
those
31:54
of
31:54
you
31:54
who
31:54
are
31:54
not
31:54
familiar
31:54
with
31:54
LTK,
31:55
they
31:56
claim
31:56
they
31:56
drive
31:57
more
31:57
than
31:58
$5
31:58
billion
31:59
in
31:59
sales
31:59
annually
32:00
and
32:00
reach
31:58
40
32:01
million
32:01
monthly
32:02
shoppers
32:02
across
32:02
its
32:03
platform,
32:04
and
32:04
that
32:04
nearly
32:05
40%
32:05
of
32:05
US
32:06
adult
32:07
Gen
32:07
Z
32:07
and
32:08
millennial
32:08
women
32:09
use
32:09
LTK
32:10
today.
32:10
So,
32:10
Chris,
32:11
wow,
32:11
you're
32:12
claiming
32:12
that
32:12
you
32:13
were
32:13
once
32:13
a
32:13
devout
32:14
bachelor
32:14
fan,
32:16
but
32:16
could
32:16
you
32:16
ever
32:17
see
32:17
shopping
32:18
Bachelor
32:19
wares
32:19
via
32:20
LTK
32:22
ever,
32:23
ever?
32:23
Have
32:23
you
32:24
ever
32:24
shopped
32:24
ltk?
32:25
No,
32:25
I
32:25
hadn't.
32:26
And
32:27
this
32:27
is,
32:27
this
32:28
was
32:28
kind
32:28
of
32:28
blowing
32:28
my
32:28
radar
32:29
screen.
32:29
You
32:29
were
32:29
much
32:29
more
32:29
familiar
32:30
with
32:30
this
32:30
than
32:30
I
32:30
would.
32:30
And
32:31
that
32:31
volume
32:31
is
32:32
pretty
32:32
insane.
32:32
If
32:33
that's
32:33
the
32:33
amount
32:33
of
32:33
volume
32:33
they're
32:34
pushing
32:34
through
32:34
it.
32:35
And
32:35
yes,
32:35
I,
32:35
I'm,
32:36
I'm,
32:36
I'm,
32:36
I
32:37
was
32:37
a
32:37
huge
32:37
Bachelor
32:38
fan.
32:38
Now
32:38
I'm
32:38
probably
32:38
a
32:38
lapsed
32:39
bachelor
32:39
fan.
32:40
And
32:40
my
32:41
good.
32:41
Did
32:41
golden
32:42
get
32:42
you
32:42
back
32:42
on?
32:42
No,
32:43
it
32:43
didn't.
32:43
I
32:43
need
32:43
to
32:44
give
32:44
it
32:44
another
32:44
world,
32:44
though.
32:44
I
32:45
need
32:45
to
32:45
get
32:45
back
32:45
on
32:45
the
32:46
Bachelor
32:46
bandwagon
32:47
because
32:47
those
32:47
were
32:48
great
32:48
years
32:48
in
32:48
my
32:48
life,
32:49
actually.
32:49
You
32:49
know,
32:49
got
32:50
the
32:50
community
32:50
going.
32:51
You
32:51
know,
32:51
I
32:52
got
32:52
into
32:52
it
32:52
with,
32:52
like,
32:52
Jen
32:53
Zacharias,
32:53
good
32:54
friend
32:54
of
32:54
ours.
32:54
Like,
32:54
she
32:54
and
32:54
I
32:55
always
32:55
talk
32:55
about
32:55
it,
32:55
but,
32:56
but
32:56
anyway,
32:56
yeah,
32:57
I,
32:57
I,
32:57
I
32:57
love
32:57
the
32:58
show.
32:58
So,
32:59
you
32:59
know,
32:59
but
33:00
when
33:00
I
33:00
think
33:00
about
33:01
this
33:01
story,
33:03
I
33:03
think
33:03
the
33:04
way
33:04
I'd
33:04
sum
33:04
this
33:04
up
33:05
is
33:05
I
33:05
just
33:05
think
33:05
it's
33:05
new
33:06
age
33:06
product
33:06
placement,
33:07
but
33:07
with
33:07
two
33:08
big
33:08
differences,
33:09
strategically.
33:09
Yeah.
33:10
One
33:10
is
33:10
attribution.
33:11
You
33:11
know,
33:12
the
33:12
second
33:13
one
33:13
is
33:14
possibly
33:15
traffic.
33:16
Right.
33:17
But
33:17
product,
33:17
that's
33:18
the
33:18
second.
33:18
That's
33:18
the
33:18
big
33:19
if
33:19
is
33:19
the
33:19
traffic
33:19
that
33:20
you're
33:20
going
33:20
to
33:20
get
33:20
from
33:20
this.
33:20
But
33:21
so
33:21
product
33:21
placement's
33:21
been
33:22
around
33:22
forever.
33:22
Like,
33:22
you
33:22
know,
33:22
I
33:23
think
33:23
of
33:23
the
33:23
Snapple
33:23
Seinfeld
33:24
where
33:24
he
33:24
opens
33:24
the
33:24
fridge,
33:25
he's
33:25
like,
33:25
do
33:25
you
33:25
want
33:25
a
33:25
Snapple?
33:26
You
33:26
know,
33:26
it's
33:26
like,
33:26
come
33:26
on.
33:27
And,
33:28
and
33:28
the
33:28
content
33:28
studios
33:29
have
33:29
been
33:29
trying
33:29
to
33:29
attribute
33:31
product
33:31
placement
33:31
in
33:31
all
33:32
sorts
33:32
of
33:32
ways.
33:32
You've
33:32
had,
33:32
like,
33:33
shoppable
33:33
video
33:34
come
33:34
into
33:34
the
33:34
fore.
33:35
You've
33:35
had
33:36
QR
33:36
codes
33:36
on
33:36
screen,
33:37
all
33:37
of
33:37
which
33:37
just
33:37
kind
33:38
of
33:38
leave
33:38
something
33:39
to
33:39
be
33:39
desired.
33:40
So
33:40
this
33:40
is,
33:41
this
33:41
is
33:41
better
33:42
than
33:42
that,
33:42
in
33:43
my
33:43
opinion.
33:43
Okay.
33:44
Right.
33:44
I'm
33:45
not
33:45
going
33:45
to
33:45
go
33:45
shop
33:45
for,
33:46
to
33:46
answer
33:46
your
33:46
question,
33:46
I'm
33:46
not
33:46
going
33:46
to
33:47
go
33:47
shop
33:47
for
33:47
bats
33:47
or
33:47
stuff
33:48
because
33:48
that's
33:48
just
33:48
not
33:48
what
33:48
I'm
33:48
interested
33:49
in.
33:49
But
33:49
I
33:49
think
33:49
there
33:49
probably
33:50
potentially
33:50
are
33:50
people
33:51
that
33:51
would.
33:52
But
33:52
the
33:52
big
33:52
question
33:52
then
33:53
becomes
33:53
traffic.
33:54
How
33:54
much
33:54
traffic
33:55
will
33:55
this
33:55
partnership
33:56
bring
33:56
to
33:57
the
33:57
Bachelor
33:58
franchise
33:59
via
33:59
the
33:59
LTK
34:00
platform?
34:02
But
34:02
at
34:02
the
34:02
end
34:03
of
34:03
the
34:03
day,
34:03
I
34:03
think
34:03
it's
34:03
a
34:03
good
34:03
experiment
34:04
because
34:05
the
34:05
volume
34:05
that's
34:06
accrued
34:06
through
34:06
the
34:07
platform
34:07
is
34:07
all
34:08
additive
34:08
for
34:08
the
34:08
Bachelor.
34:09
Right.
34:09
And
34:09
it
34:10
gives
34:10
them
34:10
a
34:10
way
34:10
to
34:10
conglomerate
34:11
all
34:11
their
34:11
affiliate
34:12
revenue
34:13
in.
34:13
And
34:14
here's
34:14
the
34:14
other
34:14
part.
34:14
In
34:15
one
34:15
easy
34:16
way,
34:16
all
34:17
in
34:17
one
34:17
place.
34:17
Like
34:18
any
34:18
item
34:18
that
34:18
they
34:19
want
34:19
to
34:19
you
34:20
put
34:20
through
34:20
this
34:20
platform,
34:21
they
34:21
can
34:21
probably
34:21
easily,
34:22
easily
34:22
attribute
34:23
or
34:23
I'm
34:23
guessing
34:23
that's
34:23
what
34:23
they're
34:24
trying
34:24
to
34:24
do.
34:24
Yeah.
34:25
And
34:25
so
34:25
that's
34:25
going
34:26
to
34:26
make
34:26
it
34:26
a
34:26
much
34:27
more
34:27
easier
34:27
proposition
34:28
for
34:28
them
34:28
to
34:28
reach
34:29
consumers.
34:29
But
34:29
the
34:29
question
34:30
is,
34:30
will
34:30
the
34:30
consumers
34:31
come?
34:31
Right.
34:31
It's
34:31
the
34:32
if
34:32
you
34:32
build
34:32
it,
34:32
will
34:32
they
34:32
come?
34:33
You
34:34
know,
34:34
conundrum.
34:35
And
34:35
I
34:35
Don't
34:35
know.
34:35
But
34:35
if
34:36
they've
34:36
got
34:36
that
34:36
much
34:36
traffic.
34:37
Yeah,
34:38
Ambassador
34:39
fans
34:39
are
34:39
pretty
34:39
rabid.
34:40
Like.
34:40
Right?
34:40
I
34:40
don't
34:41
know.
34:41
It
34:41
seems
34:41
like
34:41
a
34:41
good
34:41
idea.
34:42
This
34:42
could
34:42
be,
34:43
this
34:43
could
34:43
be
34:44
something
34:44
in
34:44
the
34:44
long
34:44
run.
34:44
Like
34:45
it
34:45
makes
34:45
me
34:45
think
34:45
about,
34:46
about,
34:46
huh.
34:47
Does
34:47
this
34:47
become
34:48
a
34:48
new
34:48
shopping
34:48
platform
34:49
in
34:49
general,
34:49
especially
34:49
with
34:50
that
34:50
type
34:50
of
34:50
revenue
34:50
already?
34:51
Yeah,
34:51
I
34:51
mean,
34:52
I
34:52
think
34:52
it's
34:52
such
34:53
a
34:53
no
34:53
brainer
34:53
experiment,
34:54
Chris,
34:54
because,
34:55
you
34:55
know,
34:56
you,
34:56
you
34:56
think
34:56
about
34:57
the
34:57
benefit
34:58
here
34:58
that's
34:58
different
34:59
than
34:59
product
34:59
placement
34:59
in
35:00
shows
35:00
is
35:01
that
35:01
the
35:01
Bachelor
35:02
doesn't
35:02
have
35:02
to
35:02
negotiate
35:03
with
35:03
any
35:03
of
35:03
the
35:04
brands
35:04
for
35:04
these
35:04
contracts.
35:05
They
35:05
just
35:05
left
35:06
the
35:06
money
35:06
funnel
35:07
in
35:07
they're
35:07
getting.
35:08
It's
35:08
an
35:08
entirely
35:08
new
35:09
revenue.
35:09
Right.
35:09
They
35:09
just
35:09
have
35:09
to
35:10
have
35:10
approval
35:10
for
35:10
the
35:10
affiliate
35:11
links,
35:11
right?
35:11
No,
35:12
not
35:12
even.
35:12
They
35:13
just
35:13
got
35:13
to
35:13
set
35:13
them
35:13
up.
35:14
No,
35:14
you
35:14
can
35:14
just
35:15
go
35:15
like
35:15
the,
35:15
the
35:16
way
35:16
that
35:16
these
35:16
work
35:17
is
35:17
like,
35:17
you
35:18
know,
35:18
at
35:19
once
35:19
you
35:19
have
35:20
a,
35:20
once
35:21
you're
35:21
signed
35:21
up
35:21
for
35:22
LTK
35:22
or
35:22
you're
35:22
one
35:23
of
35:23
their
35:23
people,
35:24
access
35:24
to
35:24
their
35:25
catalog.
35:25
You
35:25
get
35:25
access
35:25
to
35:25
the
35:26
catalog.
35:26
So
35:26
all
35:26
you
35:26
do
35:27
is
35:27
drop
35:27
in
35:27
a
35:27
link.
35:28
There's
35:28
no
35:28
bounds.
35:29
They
35:29
can
35:29
go
35:30
back
35:30
to
35:30
the
35:30
very
35:31
first
35:31
Bachelor
35:31
season
35:32
and
35:32
if
35:32
that
35:32
pair
35:33
of
35:33
heels
35:34
that
35:34
the
35:34
Bachelorette
35:34
is
35:35
wearing
35:36
are
35:36
still
35:36
available,
35:37
you
35:37
can
35:37
take
35:37
that.
35:38
So
35:38
there's
35:38
endless
35:39
amount
35:39
of
35:39
revenue
35:40
to
35:40
gain.
35:40
Get
35:40
here
35:41
and
35:42
you
35:42
know,
35:42
I
35:42
can.
35:43
Get
35:43
Juan
35:43
Pablo's
35:43
sucker
35:44
shorts
35:44
in
35:44
if
35:45
they
35:45
still
35:45
exist.
35:45
Now
35:46
we're
35:46
talking.
35:46
Yes,
35:47
you
35:47
can.
35:47
Yes
35:48
you
35:48
can.
35:49
So
35:49
for
35:49
me,
35:49
I
35:50
think
35:50
it
35:50
just
35:50
makes
35:50
sense.
35:51
It's
35:51
one,
35:51
one
35:52
way
35:52
for
35:53
them
35:53
to
35:53
further
35:54
the
35:54
engagement
35:55
with
35:55
their
35:55
fans,
35:56
to
35:56
make
35:57
products
35:57
shoppable,
35:58
to
35:58
not
35:59
have
35:59
to
35:59
deal
35:59
with
35:59
any
36:00
brand
36:00
negotiations,
36:01
to
36:01
just
36:01
let
36:02
the
36:02
revenue
36:02
come
36:03
in
36:03
as
36:03
people
36:03
are,
36:04
are
36:04
buying
36:04
things.
36:05
They
36:05
only
36:05
get
36:05
money
36:06
when
36:06
people
36:06
buy
36:06
things.
36:07
So,
36:07
so
36:07
it's,
36:07
there's
36:07
really
36:08
no
36:08
harm
36:08
in
36:08
this.
36:09
And
36:09
I
36:09
think,
36:10
you
36:10
know,
36:10
the,
36:10
the
36:11
shopping
36:11
experience,
36:11
the
36:12
LTK
36:12
like
36:12
user
36:13
experience
36:14
is
36:14
pretty
36:14
straightforward.
36:15
The
36:16
only
36:16
thing
36:16
that
36:17
I
36:17
am
36:18
wondering
36:18
here,
36:18
like,
36:19
I
36:19
think
36:19
this
36:19
makes
36:19
sense
36:20
right
36:20
now.
36:20
There's
36:20
no
36:20
harm
36:21
in
36:21
trying
36:21
it.
36:22
But
36:22
will,
36:23
as,
36:24
as
36:24
search
36:25
continues
36:25
to
36:25
evolve
36:26
and
36:26
as
36:26
people
36:27
are
36:27
using
36:27
tools
36:28
like
36:28
Google
36:28
Lens
36:28
already
36:29
to
36:29
do
36:29
this
36:29
on
36:30
any
36:30
show
36:30
that
36:30
they
36:31
want,
36:31
Like
36:31
Will,
36:32
will
36:32
that,
36:33
that
36:33
continue
36:34
to
36:34
be
36:34
a
36:34
pattern
36:35
of
36:35
behavior
36:35
that
36:36
people
36:37
go
36:37
to?
36:38
Will
36:38
they
36:38
go
36:38
to
36:38
the
36:38
LTK
36:39
app
36:39
or
36:39
will
36:39
they
36:40
just,
36:40
you
36:40
know,
36:40
pull
36:40
their
36:40
phones
36:41
out,
36:41
take
36:41
a
36:41
picture
36:42
of
36:42
whatever
36:42
they
36:43
see
36:43
on
36:43
the
36:43
show
36:43
and
36:44
then
36:44
they're.
36:44
They're
36:44
going
36:45
to
36:45
Google
36:45
to
36:45
buy
36:45
it?
36:46
But
36:46
why
36:47
not?
36:47
Well,
36:47
LTK
36:48
could
36:48
still
36:48
be
36:48
in
36:48
a
36:48
good
36:48
position
36:49
in
36:49
that
36:49
strategy
36:49
too,
36:50
that
36:50
you're
36:50
talking
36:50
about,
36:50
like,
36:50
if
36:51
they're
36:51
the
36:51
ones
36:51
that
36:51
have
36:51
the
36:51
great
36:52
search
36:52
data
36:52
that
36:53
pops
36:53
up
36:53
on
36:53
Google
36:54
and
36:54
then
36:54
you
36:54
end
36:54
up
36:54
on
36:55
ltk,
36:55
that's
36:55
also
36:56
a
36:56
win.
36:56
Win
36:56
there
36:57
too.
36:57
So.
36:57
Yeah,
36:57
it.
36:58
Yeah,
36:58
it's.
36:58
It's.
36:59
It's
36:59
something
36:59
to
36:59
watch
37:00
for
37:00
sure.
37:00
It's
37:00
really
37:01
interesting.
37:02
Yeah.
37:02
All
37:02
right,
37:02
Chris,
37:03
let's
37:03
go
37:03
to
37:03
the
37:03
lightning
37:04
round.
37:04
You
37:04
get
37:05
the
37:05
first
37:05
question
37:05
here.
37:06
Okay.
37:07
This
37:07
is
37:07
a
37:07
very
37:08
apropos
37:08
question.
37:09
There
37:09
is
37:09
a
37:09
hilarious
37:10
debate
37:10
on
37:11
TikTok
37:11
right
37:11
now.
37:12
I
37:12
highly
37:12
encourage
37:13
people
37:13
to
37:13
check
37:13
it
37:13
out,
37:15
asking,
37:15
who
37:15
would
37:15
win
37:16
in
37:16
a
37:16
battle,
37:16
100
37:17
Brits
37:17
or
37:18
100Americans?
37:19
Wow.
37:20
I
37:20
want
37:20
to
37:21
know
37:21
this.
37:21
Yes.
37:22
I
37:22
want
37:22
to
37:22
know,
37:22
if
37:23
you
37:23
were
37:23
recruiting
37:24
the
37:24
American
37:24
Dream
37:25
Team
37:25
for
37:25
this
37:25
effort,
37:26
which
37:26
states
37:27
and
37:27
cities
37:27
would
37:28
you
37:28
recruit
37:28
from
37:28
in
37:29
the
37:29
U.S.
37:30
oh,
37:30
man.
37:30
Oh,
37:31
that's
37:31
such
37:31
a
37:31
great
37:32
question.
37:32
And
37:32
that
37:32
the
37:33
answer
37:33
to
37:33
this
37:33
is
37:33
easy.
37:33
I'm
37:34
going
37:34
100%
37:35
all
37:35
in
37:35
on
37:35
Boston.
37:36
Oh,
37:36
my
37:36
gosh.
37:37
They
37:37
did
37:37
it
37:38
once.
37:38
They
37:38
could
37:38
do
37:39
it
37:39
again,
37:39
you
37:39
know,
37:40
and
37:40
the
37:41
muscles
37:41
will
37:41
come
37:41
out
37:42
in
37:42
force
37:42
to
37:42
defend.
37:43
To
37:43
defend
37:44
our
37:44
nation
37:45
100%.
37:46
I'm
37:46
going
37:46
all
37:46
in
37:46
on
37:46
Boston.
37:47
No
37:47
New
37:48
Yorkers.
37:48
Just
37:49
busted
37:49
Massels
37:50
through
37:50
and
37:50
through.
37:51
The
37:51
threads
37:51
are
37:52
so
37:52
great.
37:52
You
37:52
have
37:52
to
37:52
read
37:53
these.
37:53
Like,
37:54
people
37:54
are
37:55
like,
37:55
going
37:55
back
37:55
to
37:55
the
37:56
Brits,
37:56
and
37:56
the
37:56
Brits
37:57
are
37:57
like,
37:57
oh,
37:57
we'll
37:57
get
37:57
some
37:57
people
37:58
from
37:58
Newcastle
37:59
and
37:59
all
37:59
these
37:59
places.
38:00
And
38:00
then
38:00
they're
38:01
like,
38:01
one
38:02
answer.
38:02
Yeah.
38:03
One
38:03
of
38:03
the
38:03
answers
38:04
was,
38:04
but
38:05
in
38:05
the
38:06
US
38:06
we
38:06
have
38:07
Florida,
38:07
man,
38:08
so
38:08
we
38:08
will
38:09
win
38:09
no
38:09
matter
38:09
what.
38:10
Like,
38:10
he'll
38:10
wrestle
38:10
a
38:11
gator
38:11
to
38:11
the
38:11
death.
38:12
Not
38:12
scared.
38:12
Like,
38:13
it's
38:13
amazing.
38:14
Go
38:14
down
38:14
this
38:15
rabbit
38:15
hole.
38:15
Highly
38:16
worth
38:16
it.
38:16
Oh,
38:16
yeah.
38:17
That's
38:17
so
38:17
good.
38:17
Such
38:17
a
38:18
good
38:18
question.
38:18
All
38:18
right,
38:18
the
38:19
paper
38:19
Peacock's
38:20
new
38:20
Office
38:21
offshoot
38:22
will
38:22
debut
38:22
in
38:22
September.
38:23
I'm
38:23
curious.
38:24
And
38:24
where
38:24
does
38:24
the
38:24
Office
38:25
rank
38:25
in
38:25
your
38:26
pantheon
38:26
of
38:27
great
38:27
sitcoms?
38:28
Top
38:29
three
38:29
for
38:29
sure.
38:30
I
38:30
mean,
38:31
I've
38:31
never
38:31
seen
38:32
an
38:32
episode.
38:33
You
38:33
haven't?
38:34
No.
38:34
I've
38:34
seen
38:34
the
38:34
British
38:35
Office.
38:35
I've
38:35
never
38:35
seen
38:35
the
38:36
American
38:36
Office
38:36
episode.
38:37
I
38:37
need
38:37
to
38:37
watch
38:37
it.
38:37
Yeah,
38:38
but
38:38
it's
38:38
in
38:38
your
38:38
top
38:38
three
38:39
for
38:39
sure.
38:40
It's
38:40
just.
38:40
It
38:40
was
38:41
so
38:41
good.
38:42
And
38:42
at
38:42
the
38:42
time,
38:43
it
38:43
was
38:43
like.
38:43
It's
38:44
like
38:44
Friends.
38:44
Like,
38:44
it
38:45
was
38:45
just.
38:45
It
38:46
provided
38:46
that
38:47
moment
38:47
of
38:48
laughter
38:49
that
38:49
you
38:49
knew.
38:50
Like,
38:50
you
38:50
knew
38:51
you're
38:51
gonna
38:51
be
38:51
laughing
38:52
at
38:52
something,
38:52
and.
38:53
And
38:53
I
38:53
love
38:54
a
38:54
show
38:54
like
38:54
that
38:54
where
38:55
you
38:55
can,
38:55
you
38:55
know,
38:56
you're
38:56
gonna
38:56
get
38:56
a
38:56
smile
38:57
out
38:57
of
38:57
it.
38:57
Wow.
38:58
Top
38:58
three.
38:58
Okay.
38:59
Yeah,
38:59
I'll
39:00
check
39:00
it
39:00
out.
39:00
What
39:00
are
39:00
your
39:00
top
39:01
three?
39:02
Ah,
39:02
man.
39:03
I
39:03
mean,
39:03
Seinfeld
39:04
and
39:04
Cheers
39:04
are
39:04
definitely.
39:05
Oh,
39:05
yeah.
39:06
Running
39:06
for
39:06
1
39:06
and
39:06
2.
39:07
I'd
39:07
have
39:07
to
39:07
think
39:07
about
39:08
what
39:08
3
39:08
is,
39:08
and
39:09
I'd
39:09
want
39:09
to
39:09
spend
39:09
more
39:10
time
39:10
on
39:10
that
39:10
than
39:11
being
39:11
put
39:11
on
39:12
the
39:12
spot
39:12
because
39:12
you
39:12
know
39:12
how
39:13
important
39:13
pop
39:13
cultural
39:14
sitcom
39:14
television.
39:15
I
39:15
know.
39:15
My
39:15
life.
39:15
I
39:16
know.
39:16
How
39:16
dare
39:16
I
39:16
ask
39:17
such
39:17
a
39:17
question?
39:19
Okay,
39:19
I'm
39:19
gonna
39:19
ask
39:19
you
39:20
another
39:20
question.
39:20
Mars
39:22
Pet
39:22
Care
39:22
today
39:22
announced
39:23
that
39:23
they
39:23
are
39:24
collaborating
39:24
with
39:24
a
39:25
mental
39:25
health
39:25
company,
39:25
Calm
39:26
On
39:26
a
39:26
collection
39:27
of
39:27
content
39:27
that's
39:27
meant
39:28
to
39:28
help
39:28
pet
39:28
lovers
39:29
think
39:29
about
39:30
their
39:30
bond
39:30
with
39:30
their
39:30
pets
39:31
as
39:31
a
39:31
way
39:31
to
39:32
improve
39:32
their
39:32
own
39:32
well
39:33
being.
39:33
What
39:34
moment
39:35
with
39:35
sweet
39:35
little
39:36
Ginsburg
39:36
makes
39:37
you
39:37
most
39:38
happy
39:38
or
39:38
calm?
39:39
Chris.
39:40
Oh,
39:41
man,
39:41
that's
39:41
easy.
39:41
Like,
39:42
I
39:42
love
39:42
when
39:42
Ginsburg,
39:43
like,
39:43
I'll
39:43
be
39:43
sitting
39:44
watching
39:44
tv.
39:44
I
39:44
mean,
39:45
everyone,
39:45
I
39:45
feel
39:45
like
39:46
every
39:46
dog
39:46
owner
39:46
has
39:46
this
39:46
story.
39:47
But
39:47
she'll
39:47
come
39:47
and
39:47
she'll
39:48
put
39:48
her
39:48
head
39:48
on
39:48
my
39:48
lap,
39:48
and
39:49
then
39:49
she
39:49
rolls
39:49
over
39:49
and
39:49
opens
39:50
her
39:50
belly
39:50
to
39:50
me
39:51
and
39:51
just,
39:51
just
39:51
puts
39:52
her
39:52
arms,
39:52
like,
39:52
straight
39:52
out
39:53
like
39:53
Superman.
39:53
Ginsburg
39:54
is
39:54
a
39:54
Bernadoodle
39:54
for
39:55
everyone
39:55
who's.
39:55
Just
39:55
a
39:56
Bernie
39:56
Doodle.
39:56
Yes.
39:57
Bernie
39:58
Doodle.
39:58
And.
39:58
And
39:59
she
39:59
just
39:59
has
39:59
me
39:59
stroke
40:00
her
40:00
belly
40:00
for
40:00
like
40:01
an
40:01
hour.
40:01
She
40:02
just
40:02
doesn't
40:02
let
40:02
me
40:03
stop.
40:03
That's
40:03
the
40:03
downside
40:04
of
40:04
it.
40:04
Like,
40:04
my
40:04
arm
40:04
gets
40:05
really
40:05
tired
40:05
after
40:05
a
40:06
time
40:06
and,
40:07
and
40:07
she's
40:07
a
40:07
very
40:08
needy
40:08
dog,
40:08
though.
40:08
She
40:08
just
40:09
doesn't
40:09
let
40:09
me.
40:09
Just
40:10
doesn't
40:10
let
40:10
me
40:10
go.
40:10
But.
40:11
But
40:11
it
40:11
calms
40:11
you.
40:12
But
40:12
hey,
40:12
yeah,
40:13
it
40:13
calls
40:13
me
40:13
and
40:13
I,
40:13
I,
40:14
yeah,
40:14
I
40:14
guess
40:14
I'm.
40:15
I'm.
40:15
I,
40:15
I
40:15
give
40:15
her
40:16
what
40:16
she
40:16
needs
40:16
and.
40:17
All
40:17
right,
40:17
last
40:18
one.
40:18
It
40:18
is
40:18
rumored
40:19
that
40:19
the
40:19
final
40:20
season
40:20
of
40:20
Stranger
40:21
Things.
40:21
Yes.
40:22
And
40:22
the
40:22
final
40:22
season
40:23
of
40:23
Stranger
40:24
Things
40:24
could
40:24
debut
40:25
as
40:25
soon
40:25
as
40:26
October
40:26
10th,
40:27
a
40:27
little
40:28
bit
40:28
later
40:28
than
40:28
the
40:28
typical
40:29
summer
40:29
release.
40:30
What
40:30
are
40:30
you
40:30
excited
40:31
to
40:31
learn
40:32
in
40:32
this
40:32
show's
40:33
final
40:33
run,
40:34
Chris?
40:35
I
40:35
feel
40:35
terrible.
40:36
I
40:36
can't
40:36
even
40:37
remember
40:37
what
40:37
happened
40:38
at
40:38
the
40:38
end
40:38
of
40:38
last
40:39
season.
40:39
Like,
40:39
I
40:40
need
40:40
the
40:40
recap.
40:41
But
40:41
if
40:41
I
40:42
remember,
40:43
barely
40:44
something
40:44
with
40:45
the
40:45
redhead
40:45
girl
40:46
was
40:46
going
40:46
on,
40:46
right?
40:47
Yeah.
40:47
Didn't
40:47
she,
40:47
like,
40:47
almost
40:48
die
40:48
or
40:48
was
40:48
like
40:49
a
40:49
coma
40:49
or
40:49
something?
40:49
I
40:49
don't
40:50
know.
40:50
She
40:50
was
40:50
like,
40:50
possessed
40:51
or
40:51
something.
40:51
But,
40:52
like,
40:52
I
40:52
don't
40:53
know,
40:53
there,
40:53
like,
40:53
I
40:54
think
40:54
there
40:54
was
40:54
something
40:54
there
40:55
that
40:55
I
40:55
wanted
40:55
to
40:56
find
40:56
out
40:56
still,
40:57
so.
40:58
But
40:59
I'm
40:59
ready
40:59
for
41:00
that
41:00
show
41:00
to
41:00
be
41:00
over.
41:01
I
41:01
know
41:01
that
41:01
might
41:01
not
41:01
be
41:02
a
41:02
popular
41:02
opinion,
41:03
but
41:03
I
41:04
think
41:04
I
41:04
kind
41:04
of
41:04
am
41:04
too.
41:05
Like,
41:05
if
41:05
they
41:06
held
41:06
it
41:06
out
41:06
a
41:06
little
41:07
much
41:07
longer,
41:08
I
41:08
think
41:08
I'd
41:08
be
41:08
like,
41:08
okay,
41:08
come
41:09
on,
41:09
let's
41:09
get
41:09
this
41:09
going.
41:09
Yeah.
41:10
I
41:10
mean,
41:10
Millie
41:11
Bobby
41:11
Brown
41:11
doesn't
41:11
even
41:12
look
41:12
the
41:12
same
41:12
anymore.
41:13
Have
41:13
you
41:13
seen
41:13
pictures
41:14
of
41:14
her
41:14
recently?
41:14
I'm
41:15
like,
41:15
how
41:15
are
41:15
you
41:15
playing?
41:16
She's
41:16
like
41:16
40
41:16
now,
41:17
right?
41:17
Yeah.
41:18
Right.
41:18
But,
41:18
yeah,
41:19
no,
41:19
I
41:19
think
41:20
the
41:20
other
41:20
thing
41:20
I
41:20
want
41:20
to.
41:21
I
41:21
want
41:21
to
41:21
see
41:21
a
41:21
steamy
41:22
scene
41:22
between
41:22
David
41:22
harbor
41:23
and
41:23
Winona
41:23
Ryder,
41:24
too.
41:24
That's
41:24
what
41:24
I
41:24
want
41:25
from
41:25
this
41:25
episode.
41:26
Yeah.
41:26
I
41:26
want
41:26
them
41:27
to
41:27
get
41:27
it
41:27
on
41:27
that.
41:28
That's
41:28
what
41:28
I
41:28
want.
41:29
Because.
41:29
Oh,
41:30
yeah,
41:30
he
41:30
was
41:30
in
41:30
the
41:30
Russian
41:31
prison
41:31
or
41:31
something,
41:32
right?
41:32
Yeah.
41:32
And
41:33
they
41:33
got
41:33
back
41:33
together.
41:34
Yeah,
41:34
I
41:35
think
41:35
so.
41:35
Yeah,
41:35
something
41:35
like
41:36
that.
41:36
Yeah.
41:36
Yeah.
41:37
But,
41:37
yeah,
41:37
I
41:37
want
41:37
to.
41:38
I
41:38
want
41:38
to
41:38
see
41:38
them.
41:38
I
41:38
want
41:39
to
41:39
see.
41:39
I
41:39
want
41:39
to
41:39
see
41:39
that.
41:39
I
41:40
want
41:40
to
41:40
see
41:40
what
41:40
happens.
41:40
All
41:41
right.
41:41
See
41:41
them
41:41
come
41:41
together
41:42
and.
41:42
Okay,
41:43
whatever
41:43
their
41:43
two
41:43
names
41:43
are
41:44
in
41:44
the
41:44
show.
41:44
I
41:44
don't
41:44
remember.
41:45
All
41:45
right.
41:45
Happy
41:46
birthday
41:46
today
41:47
to
41:47
Tim
41:47
Roth,
41:48
George
41:48
Lucas,
41:49
and
41:49
to
41:49
the
41:49
woman
41:49
who
41:49
wore
41:50
the
41:50
hell
41:50
out
41:50
of.
41:50
Anne's
41:51
gonna
41:51
love
41:51
this.
41:52
Multiple
41:52
pants
41:53
suits
41:53
in
41:53
Veronica.
41:54
Suits.
41:55
They're
41:55
just
41:55
suits.
41:55
They're
41:56
just
41:56
suits
41:56
in
41:56
Veronica
41:57
Garrett,
41:57
the
41:57
always
41:58
stunning
41:58
Cate
41:58
Blanchett.
41:59
And
42:00
remember,
42:00
if
42:00
you
42:00
can
42:00
only
42:00
read
42:00
or
42:01
listen
42:01
to
42:01
one
42:01
retail
42:01
blog
42:02
in
42:02
the
42:02
business,
42:02
Make
42:02
It
42:03
Omnitalk,
42:03
the
42:03
only
42:03
retail
42:04
media
42:04
outlet
42:04
run
42:05
by
42:05
two
42:05
former
42:05
executives
42:06
from
42:06
a
42:06
current
42:06
top
42:07
10
42:07
US
42:07
retailer.
42:08
Our
42:08
Fast
42:09
Five
42:09
podcast
42:09
is
42:09
the
42:10
quickest,
42:10
fastest
42:10
rundown
42:11
of
42:11
all
42:11
the
42:11
week's
42:11
top
42:11
news
42:12
in
42:12
our
42:12
daily
42:13
newsletter.
42:13
The
42:13
Retail
42:13
Daily
42:14
Minute
42:14
tells
42:14
you
42:14
all
42:15
you
42:15
need
42:15
to
42:15
know
42:15
each
42:15
day
42:15
to
42:16
stay
42:16
on
42:16
top
42:16
of
42:16
your
42:16
game
42:17
as
42:17
a
42:17
retail
42:17
executive
42:18
and
42:18
also
42:19
regularly
42:19
feature
42:20
special
42:20
content
42:20
that
42:20
is
42:21
exclusive
42:21
to
42:21
us
42:21
and
42:22
that
42:22
Ann
42:22
and
42:22
I
42:22
take
42:23
a
42:23
lot
42:23
of
42:23
pride
42:23
in
42:23
doing
42:24
just
42:24
for
42:24
you.
42:24
Thanks
42:25
as
42:25
always,
42:25
for
42:25
listening
42:25
in.
42:25
Please
42:26
remember
42:26
to,
42:26
like,
42:26
give
42:27
us
42:27
a
42:27
review
42:27
wherever
42:27
you
42:28
happen
42:28
listening
42:28
to
42:28
your
42:28
podcast
42:29
or
42:29
on
42:29
YouTube.
42:30
You
42:30
can
42:30
follow
42:30
us
42:30
today
42:31
by
42:31
simply
42:31
going
42:31
to
42:31
YouTube.com
42:33
omnitalkretail
42:34
and
42:34
if
42:34
you're
42:34
interested,
42:35
you
42:35
can
42:35
follow
42:35
our
42:35
code
42:36
coverage
42:36
from
42:36
the
42:36
World
42:36
Retail
42:37
Congress
42:37
all
42:38
week
42:38
long
42:38
by
42:38
going
42:38
to
42:39
the
42:39
conference
42:39
livestream
42:40
playlist
42:41
on
42:41
the
42:42
aforementioned
42:42
Omniton
42:43
YouTube
42:44
channel.
42:44
So
42:44
until
42:45
next
42:45
week,
42:45
on
42:45
behalf
42:46
of
42:46
all
42:46
of
42:46
us
42:46
at
42:46
Omnitok,
42:48
be
42:48
careful
42:48
out
42:48
there.