Latest / Omni Talk Retail / DoorDash Does Waymo, Wayfair Opens A New Store & A Marketplace Of Marketplaces Emerges | Fast Five

Transcript

DoorDash Does Waymo, Wayfair Opens A New Store & A Marketplace Of Marketplaces Emerges | Fast Five · Omni Talk Retail

0:00
This
0:01
episode
0:01
of
0:01
the
0:01
OMNITALK
0:02
Retail
0:02
Fast
0:02
5
0:03
is
0:03
brought
0:03
to
0:03
you
0:03
by
0:04
the
0:04
A
0:04
and
0:04
M
0:04
Consumer
0:05
and
0:05
Retail
0:05
Group.
0:06
The
0:06
A
0:06
and
0:06
M
0:06
Consumer
0:07
and
0:07
Retail
0:07
Group
0:07
is
0:08
a
0:08
management
0:08
consulting
0:09
firm
0:09
that
0:09
tackles
0:10
the
0:10
most
0:10
complex
0:10
challenges
0:11
and
0:11
advances
0:12
its
0:12
clients,
0:13
people
0:13
and
0:14
communities
0:14
towards
0:15
their
0:15
maximum
0:15
potential.
0:16
CRG
0:17
brings
0:17
the
0:17
experience,
0:18
tools
0:18
and
0:18
operator
0:19
like
0:19
pragmatism
0:20
to
0:20
help
0:21
retailers
0:21
and
0:21
consumer
0:22
products
0:22
companies
0:23
be
0:23
on
0:23
the
0:23
bright
0:23
side
0:24
of
0:24
disruption
0:25
and
0:25
Miracle,
0:26
the
0:26
catalyst
0:27
of
0:27
Commerce.
0:28
Over
0:28
450
0:29
retailers
0:30
are
0:30
opening
0:30
new
0:31
revenue
0:31
streams
0:32
with
0:32
marketplaces,
0:32
dropship
0:33
and
0:33
retail
0:34
media
0:34
and
0:35
succeeding.
0:35
With
0:36
Miracle,
0:36
you
0:36
can
0:37
unlock
0:37
more
0:37
products,
0:38
more
0:38
partners
0:39
and
0:39
more
0:39
profits
0:40
without
0:40
the
0:40
heavy
0:41
lifting.
0:41
What's
0:42
holding
0:42
you
0:42
back?
0:43
Visit
0:43
Miracle.com
0:44
to
0:44
learn
0:45
more.
0:45
That's
0:45
M
0:45
I
0:46
R
0:46
A
0:46
K
0:46
L.com
0:48
and
0:48
Corso.
0:49
Your
0:49
stores
0:50
are
0:50
full
0:50
of
0:51
data,
0:51
but
0:51
are
0:52
your
0:52
teams
0:52
acting
0:53
on
0:53
it?
0:54
Corso
0:54
turns
0:55
retail
0:55
data
0:55
into
0:56
personalized
0:56
daily
0:57
to
0:57
dos
0:57
that
0:57
drive
0:58
sales,
0:58
reduce
0:59
waste
0:59
and
0:59
and
1:00
improve
1:00
execution.
1:01
No
1:01
fluff,
1:02
just
1:03
action.
1:03
Help
1:04
your
1:04
managers
1:04
focus
1:05
on
1:05
what
1:05
matters
1:06
most.
1:06
Visit
1:06
corso.com
1:07
to
1:08
see
1:08
Intelligent
1:09
management
1:09
in
1:10
motion
1:10
and
1:10
Infios.
1:12
At
1:12
Infios,
1:13
they
1:13
unite
1:13
warehousing,
1:13
transportation
1:14
and
1:14
order
1:15
management
1:15
into
1:15
a
1:15
seamless,
1:16
adaptable
1:16
network.
1:17
Infios
1:18
helps
1:18
you
1:18
stay
1:18
ahead
1:19
from
1:19
promise
1:19
to
1:20
delivery
1:20
and
1:21
every
1:21
step
1:21
in
1:22
between.
1:22
To
1:22
learn
1:22
more,
1:23
visit
1:23
infios.com
1:25
and
1:25
finally,
1:26
Ocampo
1:26
Capital.
1:27
Ocampo
1:28
Capital
1:28
is
1:28
a
1:28
venture
1:29
capital
1:29
firm
1:29
founded
1:30
by
1:30
retail
1:30
executives
1:31
with
1:31
the
1:32
aim
1:32
of
1:32
helping
1:32
early
1:33
stage
1:33
consumer
1:34
businesses
1:34
succeed
1:35
through
1:35
investment
1:35
and
1:36
operational
1:36
support.
1:37
Learn
1:38
more@ocampo
1:39
capital.com
1:41
hello,
1:42
you
1:42
are
1:42
listening
1:42
to
1:43
Omnitalk's
1:44
Retail
1:44
Fast
1:44
Five,
1:45
ranked
1:45
in
1:45
the
1:45
top
1:45
10%
1:46
of
1:46
all
1:46
podcasts
1:46
globally
1:47
and
1:47
currently
1:47
the
1:48
only
1:48
retail
1:48
podcast
1:49
ranked
1:49
in
1:49
the
1:50
top
1:50
100
1:50
of
1:50
all
1:51
business
1:51
podcasts
1:51
and
1:51
Apple
1:52
Podcasts.
1:52
The
1:52
Retail
1:53
Fast
1:53
Five
1:53
is
1:54
the
1:54
podcast
1:54
that
1:55
we
1:55
hope
1:55
makes
1:55
you
1:55
feel
1:56
a
1:56
little
1:56
smarter,
1:57
but
1:57
most
1:57
importantly,
1:58
a
1:58
little
1:58
happier
1:58
each
1:59
week.
1:59
And
2:00
the
2:00
Fast5
2:00
is
2:00
just
2:00
one
2:01
of
2:01
the
2:01
many
2:01
great
2:01
podcasts
2:02
you
2:02
can
2:02
find
2:03
from
2:03
the
2:03
Omnitalk
2:04
Retail
2:04
Podcast
2:05
Network
2:05
alongside
2:05
our
2:06
Retail
2:06
Daily
2:06
Minute,
2:06
which
2:07
brings
2:07
you
2:07
a
2:07
curated
2:07
selection
2:08
of
2:08
the
2:08
most
2:08
important
2:09
retail
2:09
headlines
2:10
every
2:10
morning
2:11
and
2:11
our
2:11
Retail
2:11
Technology
2:12
Spotlight
2:12
series
2:13
which
2:13
goes
2:13
deep
2:13
each
2:13
week
2:14
on
2:14
the
2:14
latest
2:14
retail
2:15
technology
2:15
Trends.
2:16
It
2:16
is
2:17
October
2:17
22,
2:18
2025.
2:19
I'm
2:19
one
2:19
of
2:20
your
2:20
hosts,
2:20
Anne
2:20
Mazinga.
2:21
Wow.
2:22
And
2:22
I'm
2:22
Chris
2:22
Walton.
2:22
And
2:22
I
2:23
can't
2:23
believe
2:23
it's
2:23
October
2:23
22nd
2:24
already.
2:24
Ann.
2:25
I
2:25
know,
2:25
I
2:26
know.
2:26
It's
2:26
flying.
2:26
The
2:27
weeks
2:27
are
2:27
flying
2:27
by
2:28
and
2:29
we
2:29
are
2:30
here
2:30
once
2:31
to
2:31
discuss
2:31
all
2:32
the
2:32
top
2:32
headlines
2:33
from
2:33
the
2:33
past
2:33
week
2:33
making
2:34
waves
2:34
in
2:34
the
2:34
world
2:35
of
2:35
omnichannel
2:35
retailing.
2:36
But
2:36
we
2:37
have
2:37
Some
2:37
special
2:37
guests
2:38
today,
2:38
Chris,
2:38
because
2:39
we
2:39
couldn't
2:39
do
2:39
this
2:39
alone.
2:40
Back
2:40
for
2:41
their
2:41
regularly
2:41
scheduled
2:42
monthly
2:42
appearance
2:43
are
2:43
Alvarez
2:43
and
2:44
Marcel's
2:44
managing
2:45
director,
2:45
Lisa
2:46
Collier,
2:46
and
2:46
senior
2:47
director
2:47
Manola
2:48
Solaire.
2:49
Welcome
2:49
to
2:50
you
2:50
both.
2:51
Manola,
2:52
it's
2:52
been
2:52
a
2:52
while,
2:53
I
2:53
feel
2:53
like
2:54
since
2:54
you've
2:54
been
2:54
on
2:54
the
2:54
pod,
2:55
so
2:55
let's.
2:56
I
2:56
want
2:56
to
2:56
go
2:57
to
2:57
you
2:57
first
2:57
and
2:57
just
2:58
give
2:58
our
2:58
audience
2:58
a
2:59
reminder
2:59
of
3:00
you,
3:00
your
3:01
background,
3:01
your
3:01
role
3:02
at
3:02
A
3:02
and
3:02
M.
3:03
Yeah,
3:03
absolutely.
3:04
It
3:04
has
3:04
been
3:05
a
3:05
minute.
3:05
I
3:05
was
3:06
looking
3:06
back
3:06
and
3:06
it's
3:07
been
3:07
way
3:07
too
3:07
long.
3:08
I
3:09
know.
3:10
Yeah,
3:10
I
3:10
need
3:10
to.
3:11
Need
3:11
to
3:11
come
3:11
here
3:11
more
3:11
often.
3:12
These
3:12
are
3:12
always
3:12
so
3:12
much
3:13
fun,
3:14
but
3:14
I'm
3:14
a
3:14
senior
3:14
director
3:15
with
3:15
the
3:15
CRG
3:16
consumer
3:16
and
3:17
retail
3:17
goods
3:17
practice
3:18
here
3:18
at
3:19
A
3:19
and
3:19
M,
3:19
and
3:20
I
3:20
do
3:20
most
3:20
of
3:21
my
3:21
work
3:21
in
3:21
the
3:22
between
3:22
the
3:22
apparel
3:23
and
3:23
beauty
3:23
space.
3:24
I
3:24
focus
3:24
a
3:24
lot
3:25
on.
3:25
On
3:25
growth
3:26
and
3:27
operating
3:27
model
3:28
redesign.
3:29
So,
3:29
yeah,
3:29
a
3:30
little
3:30
bit
3:30
of
3:30
a
3:30
retail
3:30
nerd
3:31
and
3:31
always
3:31
fun
3:31
to.
3:32
To
3:32
have
3:32
a
3:32
chat
3:32
here.
3:33
Excited
3:33
to
3:33
be
3:33
here.
3:34
Yes.
3:34
Retail
3:35
nerds
3:35
are
3:35
always
3:36
welcome
3:37
on
3:37
this
3:37
podcast.
3:37
Manila.
3:38
We're
3:38
really,
3:39
really
3:39
excited
3:39
to
3:40
have
3:40
you
3:40
back.
3:41
Lisa,
3:42
give
3:42
our
3:42
audience
3:43
a
3:43
quick
3:43
background
3:44
on
3:44
you
3:44
too.
3:44
You've
3:45
been
3:45
on
3:45
a
3:45
little
3:45
more
3:46
recently,
3:46
but.
3:47
But
3:47
we.
3:47
We're
3:48
gaining
3:48
new
3:48
listeners
3:49
every
3:49
day,
3:49
so
3:50
please
3:50
introduce
3:50
yourself.
3:51
Yeah,
3:51
absolutely.
3:52
Lisa
3:52
Collier,
3:53
managing
3:54
director
3:54
at
3:55
Alvarez
3:55
and
3:55
Marsal,
3:56
a
3:56
consumer
3:57
retail
3:57
group.
3:57
Along
3:58
in
3:58
the
3:58
same
3:59
group
3:59
with
4:01
also
4:01
a
4:02
retail
4:02
nerd.
4:02
I
4:03
kind
4:03
of
4:03
like
4:03
that.
4:04
Definitely.
4:05
I've
4:05
had
4:06
the
4:06
privilege
4:07
to
4:07
work
4:08
in
4:08
this
4:08
industry
4:08
for
4:09
the
4:09
last
4:09
40
4:10
years,
4:10
and
4:10
I
4:11
have
4:11
loved
4:11
every
4:11
minute
4:12
of
4:12
it.
4:12
So
4:13
began
4:14
my
4:14
career
4:14
as
4:15
an
4:15
operator,
4:16
and
4:17
in
4:17
the
4:17
last
4:17
18
4:18
months
4:18
have
4:18
joined
4:19
consulting.
4:21
My
4:21
background
4:22
is,
4:23
I
4:24
always
4:24
say
4:24
I'm
4:24
a
4:24
unicorn
4:25
because
4:26
I
4:26
started
4:26
out
4:26
as
4:26
a
4:26
merchant,
4:27
but
4:27
I
4:27
also
4:27
ran
4:28
supply
4:28
chains
4:28
and
4:29
operation.
4:31
So
4:31
I
4:31
kind
4:31
of
4:31
crossed
4:32
the
4:32
gamut
4:33
of
4:33
all
4:33
things
4:33
retail,
4:34
apparel,
4:35
footwear,
4:36
fashion,
4:36
and
4:37
sport.
4:37
Awesome.
4:38
We're
4:38
so
4:39
excited
4:39
to
4:39
have
4:40
both
4:40
of
4:40
you.
4:40
Chris,
4:41
this
4:41
is
4:42
quite
4:42
the
4:42
banger
4:42
lineup.
4:43
And
4:43
also,
4:43
Chris,
4:44
I'll
4:44
note
4:45
you.
4:45
Have
4:45
you
4:45
ever
4:46
been
4:46
on
4:46
the
4:46
show
4:46
with
4:47
three
4:47
other
4:47
women
4:48
before?
4:48
Because
4:48
I
4:48
fear
4:49
with
4:49
two
4:49
other
4:49
women
4:50
and.
4:50
And
4:50
yourself,
4:51
I
4:51
feel
4:51
like
4:52
it's
4:52
always
4:53
me
4:53
and
4:54
a
4:55
bunch
4:55
of
4:55
guys.
4:55
So
4:56
this
4:56
is
4:56
like
4:57
female
4:57
power
4:58
show.
4:59
Yeah.
4:59
I
4:59
don't
4:59
know.
4:59
I
4:59
feel
4:59
like.
5:00
I
5:00
feel
5:00
like
5:00
we've
5:00
done
5:00
it
5:00
before
5:01
with
5:01
the
5:01
A
5:01
M.
5:02
Folks
5:02
before.
5:02
I
5:02
feel
5:02
like
5:03
we've
5:03
had
5:03
two,
5:03
two,
5:04
two
5:04
females
5:05
on
5:05
from
5:05
A
5:05
M.
5:05
Before.
5:06
But,
5:06
you
5:06
know,
5:06
I'm
5:06
always.
5:07
I
5:07
always
5:07
love
5:07
it.
5:08
It's
5:08
always
5:08
great.
5:08
It's
5:08
good
5:08
to
5:09
see
5:09
Manola
5:09
again.
5:09
Manola,
5:10
how
5:10
long
5:10
ago
5:10
was
5:10
it
5:11
when
5:11
you
5:11
were
5:11
on
5:11
the
5:11
show.
5:12
When
5:12
you
5:12
look
5:12
back,
5:12
I'm
5:12
curious.
5:13
I
5:13
think
5:13
it
5:14
was
5:14
more
5:14
than
5:14
a
5:14
year
5:14
ago.
5:15
More
5:16
than
5:16
a
5:16
year
5:16
ago.
5:16
Okay.
5:17
So
5:17
yeah,
5:18
got
5:18
it.
5:18
Well,
5:18
it's
5:18
good
5:19
to
5:19
have
5:19
you
5:19
back.
5:19
And
5:19
Lisa,
5:20
I
5:20
remember
5:20
your
5:20
last
5:21
appearance
5:21
vividly
5:22
because,
5:23
because
5:24
I
5:24
was
5:24
like,
5:24
man,
5:24
we
5:24
are
5:24
cut
5:25
from
5:25
the
5:25
same
5:25
cloth.
5:26
We
5:26
are
5:26
thinking
5:26
about
5:26
these
5:27
things
5:27
the
5:27
same
5:27
way.
5:28
So
5:28
I'm
5:28
curious
5:28
to
5:28
see
5:28
if
5:28
that
5:29
play.
5:30
But
5:31
without
5:31
further
5:31
ado,
5:31
and
5:32
I
5:32
think
5:32
we
5:32
should
5:32
get
5:32
to
5:32
the
5:32
headlines.
5:33
What
5:33
do
5:33
you
5:33
think?
5:34
Let's
5:34
do
5:34
it.
5:34
All
5:35
right.
5:35
In
5:35
this
5:35
fast.
5:36
Ooh.
5:36
In
5:36
this
5:37
week's
5:37
Fast5,
5:38
I
5:38
should
5:38
say,
5:38
folks,
5:39
we've
5:39
got
5:39
news
5:40
on
5:40
Ulta's
5:40
official
5:41
launch
5:41
of
5:41
its
5:41
marketplace.
5:42
New
5:43
research
5:43
that
5:43
suggests
5:44
big
5:44
changes
5:45
could
5:45
be
5:45
coming
5:45
to
5:46
Britain's
5:46
high
5:46
streets.
5:47
Wayfair's
5:48
launch
5:48
of
5:48
its
5:48
new
5:48
30,000
5:49
square
5:50
foot
5:50
luxury
5:51
store
5:51
in
5:51
Florida.
5:52
DoorDash
5:53
teaming
5:53
up
5:53
with
5:53
Waymo
5:54
for
5:54
a
5:54
Thomas
5:55
Deliveries.
5:56
And
5:56
former
5:56
Walmart
5:57
EVP
5:57
and
5:58
fellow
5:58
Simbi
5:59
Advisory
5:59
board
6:00
member
6:00
Mary
6:00
Beth
6:00
Hayes
6:01
stops
6:02
by
6:02
for
6:02
five
6:02
insightful
6:03
minutes
6:03
on
6:03
the
6:04
future
6:04
of
6:04
merchandising.
6:05
But
6:05
we
6:05
begin
6:06
today
6:06
with
6:07
big,
6:07
big,
6:08
big
6:09
AI
6:09
news
6:09
from
6:10
Walmart.
6:10
Ann
6:11
yes,
6:11
we,
6:12
we.
6:12
It's
6:12
been
6:12
teased
6:13
in
6:13
the
6:13
weeks
6:13
past,
6:14
but
6:14
now
6:14
it's
6:14
been
6:15
made
6:15
official.
6:15
Headline
6:16
number
6:16
one.
6:17
Walmart
6:17
is
6:18
partnering
6:18
with
6:19
OpenAI
6:19
to
6:20
offer
6:20
shopping
6:21
on
6:21
ChatGPT.
6:22
According
6:22
to
6:23
Bloomberg,
6:23
users
6:24
will
6:24
be
6:24
able
6:24
to
6:24
shop
6:24
Walmart's
6:25
assortment
6:25
directly
6:26
on
6:26
ChatGPT
6:27
by
6:27
clicking
6:27
a
6:28
buy
6:28
button
6:29
with
6:29
the
6:29
catalog,
6:30
including
6:31
apparel,
6:31
entertainment,
6:32
packaged
6:33
food
6:33
and
6:33
other
6:33
products.
6:34
The
6:34
new
6:35
function
6:35
will
6:35
launch
6:35
in
6:36
the
6:36
fall
6:36
with
6:36
customers
6:37
current
6:37
Walmart
6:38
or
6:38
Sam's
6:38
Club
6:38
accounts
6:39
getting
6:39
automatically
6:40
linked
6:40
to
6:40
ChatGPT
6:41
and
6:41
goods
6:42
also
6:42
being
6:42
available
6:43
from
6:43
third
6:43
party
6:44
sellers,
6:45
notably.
6:46
However,
6:46
fresh
6:47
food
6:47
is
6:47
not
6:47
included
6:48
in
6:48
the
6:48
offering,
6:49
partly
6:49
because
6:49
Walmart
6:50
told
6:50
Bloomberg
6:51
consumers
6:51
buy
6:52
similar
6:52
products
6:53
weekly.
6:54
Lisa,
6:55
we're
6:55
gonna
6:55
go
6:55
to
6:55
you
6:55
first
6:56
on
6:56
this
6:56
one.
6:56
Is
6:56
Walmart's
6:57
decision
6:57
to
6:58
offer
6:59
shopping
6:59
through
6:59
ChatGPT
7:00
and
7:01
if
7:01
you
7:01
can't
7:02
beat
7:02
them,
7:02
join
7:02
them.
7:03
Signal
7:03
to
7:03
the
7:04
rest
7:04
of
7:04
the
7:04
industry.
7:05
Yeah,
7:05
wow.
7:06
I
7:06
mean,
7:06
I
7:06
think
7:07
it
7:07
is,
7:08
yes,
7:08
a
7:09
big
7:09
move
7:10
for
7:11
Walmart.
7:11
I
7:11
mean,
7:12
really
7:12
big
7:12
move.
7:13
As
7:13
I,
7:14
as
7:14
I
7:14
read
7:14
through
7:15
the
7:15
article,
7:15
I,
7:16
it
7:16
was
7:16
not
7:17
the
7:17
first
7:17
brand
7:17
or
7:18
the
7:18
first
7:18
retailer
7:19
I
7:19
would
7:19
have
7:19
expected
7:19
to
7:20
jump
7:20
here.
7:21
I
7:21
think
7:22
it's
7:22
amazing
7:23
that
7:23
they're
7:23
recognizing
7:25
what
7:25
they
7:26
need
7:26
to
7:26
do
7:26
with
7:27
AI
7:27
and
7:28
becoming
7:28
adaptive
7:29
in
7:30
the
7:30
new
7:30
world.
7:31
And
7:32
I
7:32
hadn't
7:32
really
7:32
thought
7:33
about
7:33
how
7:33
AI
7:33
could
7:34
be
7:34
used
7:34
in
7:34
this
7:34
space
7:35
and
7:35
I
7:36
was
7:36
quite
7:36
impressed
7:37
with
7:37
the
7:37
idea.
7:38
So
7:38
I
7:38
think
7:38
it
7:38
is
7:39
signaling
7:39
to
7:39
the
7:40
retailers
7:41
there
7:41
is
7:42
a
7:42
shift
7:43
and
7:44
adaptation
7:44
that
7:45
needs
7:45
to
7:45
happen.
7:45
Pretty
7:46
Quickly
7:47
across
7:47
the
7:48
retail
7:48
platforms.
7:50
And
7:50
Lisa,
7:50
do
7:50
you
7:51
feel
7:51
like
7:51
this
7:51
is,
7:51
is
7:52
particularly
7:53
valuable
7:53
to
7:54
Walmart
7:55
and
7:55
would
7:55
you
7:56
recommend
7:56
that
7:56
other
7:56
retailers
7:57
kind
7:57
of
7:58
follow
7:58
suit
7:58
here?
7:59
Is
7:59
this,
7:59
is
7:59
this
7:59
like
8:00
the
8:00
dawn
8:00
of,
8:00
of,
8:01
you
8:01
know,
8:01
online
8:02
commerce
8:02
again,
8:03
where,
8:03
where
8:03
most
8:04
retailers
8:04
should
8:04
be
8:04
thinking
8:05
about
8:05
it,
8:05
or
8:05
do
8:05
you
8:05
think
8:05
this
8:06
is
8:06
specific
8:06
to
8:06
a
8:06
retailer
8:07
like
8:07
Walmart,
8:08
where
8:08
this
8:08
might
8:09
make
8:09
more
8:09
sense?
8:09
I,
8:10
I
8:10
think
8:10
my
8:11
instinct
8:12
is
8:12
it
8:12
makes
8:13
sense
8:13
for
8:13
like
8:14
the
8:14
big
8:14
box
8:15
retailers.
8:16
Okay,
8:17
that's
8:17
my
8:18
reaction
8:18
because
8:18
I
8:19
think,
8:19
you
8:19
know,
8:20
as
8:20
we
8:20
think
8:20
about
8:21
all
8:21
the
8:21
other
8:21
things
8:22
in
8:22
with
8:23
a
8:23
brand
8:23
and
8:23
retail
8:24
at
8:24
the
8:24
brand
8:24
level,
8:25
I
8:25
think
8:26
the
8:26
execution
8:26
is
8:27
going
8:27
to
8:27
look
8:27
different.
8:29
That's
8:29
just
8:29
my
8:29
gut
8:30
reaction.
8:31
Yeah,
8:31
yeah,
8:32
that
8:32
makes
8:32
sense.
8:32
Manola,
8:33
where
8:33
do
8:33
you
8:33
land
8:33
on
8:34
this,
8:34
especially
8:34
given
8:35
your
8:35
experience?
8:35
Like,
8:36
what
8:36
about
8:36
beauty
8:37
brands?
8:37
What
8:37
about
8:38
fashion
8:38
brands?
8:39
Like,
8:39
does
8:39
this
8:39
make
8:39
sense
8:40
here?
8:40
Is
8:40
this
8:41
something
8:41
that
8:41
they
8:41
should
8:41
be
8:41
looking
8:42
at?
8:42
I
8:42
mean,
8:42
listen,
8:43
I
8:43
think
8:43
it's
8:43
a
8:43
really,
8:44
it's
8:44
a
8:44
nimble
8:45
move
8:45
by,
8:45
by
8:45
Walmart
8:46
and
8:46
I
8:46
think
8:46
it's
8:46
responding.
8:48
If
8:48
I
8:48
look
8:48
at,
8:49
you
8:49
know,
8:49
younger
8:50
people,
8:50
they
8:50
use
8:50
chat
8:51
GPT
8:51
as
8:51
Google.
8:52
They're
8:52
like,
8:52
Google,
8:53
I
8:53
don't
8:53
know.
8:53
Right.
8:54
They're
8:54
just
8:54
going
8:54
on
8:54
ChatGPT
8:55
and
8:55
that's
8:55
their
8:56
search
8:56
engine.
8:56
Right.
8:57
So
8:57
it's
8:58
smart
8:58
for
8:58
a
8:58
company
8:59
like
8:59
Walmart
8:59
especially.
9:00
They
9:00
have
9:00
all
9:00
that
9:00
data,
9:01
which
9:01
is
9:01
what
9:01
a
9:02
chat
9:02
GPT,
9:02
you
9:02
know,
9:03
would
9:03
feed
9:03
off
9:03
of.
9:04
Right.
9:05
Huge
9:05
assortment.
9:06
Right.
9:06
So
9:06
I
9:06
think
9:06
it's
9:06
a
9:07
good
9:07
move
9:08
that
9:08
kind
9:08
of
9:08
brings
9:08
together
9:09
where
9:09
consumers
9:10
are
9:10
searching
9:11
for
9:11
a
9:11
new
9:11
product
9:12
and
9:12
it's
9:12
a
9:12
good
9:12
tool
9:13
to
9:13
parse
9:13
through
9:14
that
9:14
gigantic
9:15
assortment
9:15
they
9:15
have
9:15
going
9:16
they
9:16
have
9:16
going
9:17
on.
9:17
Right.
9:18
But
9:18
yeah,
9:18
for
9:18
beauty
9:19
would
9:19
definitely
9:20
makes
9:20
sense.
9:20
You
9:20
know,
9:20
sometimes
9:21
it's
9:21
hard
9:21
to
9:22
select
9:22
one
9:22
product
9:22
versus
9:23
another,
9:23
especially
9:23
in
9:24
a
9:24
digital
9:24
environment.
9:25
So
9:26
I
9:26
can
9:26
help,
9:27
you
9:27
know,
9:28
go
9:28
through
9:28
recommendations
9:29
and
9:29
find
9:30
a
9:30
product
9:31
that's
9:31
best
9:31
suited
9:31
for
9:32
you.
9:32
I
9:33
think
9:33
that's
9:33
something
9:33
that
9:33
has
9:34
legs
9:34
from
9:35
a
9:35
consumer
9:36
perspective.
9:37
Right?
9:37
Yeah,
9:38
I
9:38
think
9:38
I
9:38
think
9:38
you're
9:38
right.
9:39
Like
9:39
all
9:39
these
9:39
searches,
9:40
especially
9:41
in
9:41
some
9:41
of
9:41
those
9:42
categories
9:42
like
9:43
beauty,
9:44
like
9:44
fashion,
9:45
like
9:45
home
9:45
furnishings,
9:46
like,
9:46
it's
9:46
good
9:46
to
9:47
have
9:47
some
9:47
of
9:47
this
9:47
insight,
9:48
you
9:48
know,
9:49
and
9:49
then
9:49
taking
9:50
you
9:50
to
9:50
a
9:50
buy
9:51
button
9:51
without
9:51
leaving
9:52
that
9:52
app,
9:52
I
9:53
think
9:53
it
9:53
makes
9:53
a
9:53
lot
9:53
of
9:53
sense.
9:54
Chris,
9:55
I'm
9:55
curious
9:56
too.
9:56
From
9:56
your
9:57
perspective,
9:57
what
9:58
about
9:58
the
9:58
fresh
9:59
food
9:59
component?
9:59
Like
10:00
that
10:00
to
10:00
me
10:01
seemed
10:02
strange
10:03
because
10:03
I
10:03
think
10:03
another
10:04
reason
10:04
that
10:04
you're
10:04
on
10:04
Chatbots
10:05
is
10:06
for
10:06
recipe
10:07
creation
10:07
and
10:07
that
10:08
kind
10:08
of
10:08
thing.
10:08
So
10:08
to
10:09
not
10:09
have
10:09
fresh
10:09
food
10:10
as
10:10
a
10:10
part
10:10
of
10:10
it,
10:10
to
10:11
me
10:11
it
10:11
was
10:11
like,
10:11
is
10:12
that
10:12
the
10:12
right
10:12
move?
10:13
But
10:13
I
10:13
mean,
10:14
you
10:14
have
10:14
Lots
10:14
of
10:14
background
10:15
in
10:15
this
10:15
space.
10:15
Like
10:16
what,
10:16
what
10:16
do
10:16
you
10:17
think
10:17
here
10:17
about
10:17
this
10:17
move
10:18
from
10:18
Walmart?
10:18
Yeah,
10:19
well,
10:19
the
10:19
fresh
10:19
food
10:19
part
10:20
is
10:20
really
10:20
interesting
10:20
to
10:20
me
10:21
because
10:21
I
10:21
think
10:21
that
10:21
shows
10:21
me
10:21
that
10:22
Walmart's
10:22
being
10:22
very
10:22
thoughtful
10:23
and
10:23
strategic
10:23
about
10:23
how
10:24
they're
10:24
doing
10:24
this
10:24
because
10:24
they
10:25
know
10:25
that
10:25
grocery
10:25
is
10:26
their
10:26
differentiation
10:27
point.
10:27
It's
10:28
their
10:28
big
10:28
competitive
10:28
advantage.
10:29
They're
10:29
not
10:29
saying
10:29
they
10:29
may
10:30
not
10:30
do
10:30
it
10:30
in
10:31
the
10:31
long
10:31
run,
10:31
but
10:31
they're
10:32
not
10:32
doing
10:32
it
10:32
to
10:32
start.
10:33
And
10:33
what
10:33
I
10:34
really
10:34
like
10:34
about,
10:34
what
10:35
I
10:35
really
10:35
like
10:35
about
10:36
this
10:36
move
10:36
is
10:38
it's
10:38
a,
10:38
it's
10:38
a,
10:39
basically
10:39
a
10:39
direct
10:39
attack
10:40
on
10:40
Amazon
10:41
because
10:41
when
10:42
you
10:42
think
10:42
about
10:42
who
10:43
can
10:43
win
10:43
in
10:43
this
10:44
new.
10:45
The
10:45
way
10:45
I
10:45
describe
10:46
it
10:46
is
10:46
like
10:46
marketplace
10:47
of
10:47
marketplaces.
10:48
That's
10:48
what.
10:48
Oh,
10:48
that's
10:49
what
10:49
ChatGPT.
10:49
That's
10:50
what
10:50
Open
10:50
AI
10:50
is
10:51
creating
10:51
here.
10:51
And
10:52
who
10:52
can
10:52
win
10:53
in
10:53
the
10:53
marketplace
10:53
of
10:53
marketplaces
10:54
when
10:54
basically
10:55
all
10:55
the
10:55
items
10:56
Walmart
10:56
carries
10:56
are
10:56
exactly
10:57
the
10:57
same
10:57
as
10:57
Amazon?
10:58
Well,
10:59
it's
10:59
going
10:59
to
10:59
be
10:59
Walmart
11:00
because
11:00
Walmart
11:00
has
11:01
the
11:01
ability
11:01
to
11:01
offer
11:02
you
11:02
so
11:03
many
11:03
more
11:03
omnichannel
11:04
options
11:04
and
11:04
conveniences.
11:05
You
11:05
want
11:05
to
11:05
pick
11:05
it
11:05
up
11:06
in
11:06
the
11:06
store,
11:06
do
11:06
you
11:06
want
11:06
to
11:06
have
11:07
it
11:07
shipped
11:07
to
11:07
your
11:07
house?
11:08
Amazon
11:09
doesn't
11:09
have
11:09
that
11:10
ability
11:10
at
11:10
all.
11:11
So
11:11
I
11:11
think
11:11
this
11:12
is
11:12
a
11:12
direct
11:12
assault
11:13
on
11:13
Amazon's
11:14
marketplace,
11:14
which
11:15
we
11:15
know
11:15
is
11:15
also
11:15
important
11:16
because
11:16
the
11:16
bigger
11:17
and
11:17
faster
11:17
you
11:17
grow
11:18
your
11:18
marketplace,
11:18
the
11:18
more
11:19
retail
11:19
media
11:19
dollars
11:20
you
11:20
get
11:20
and
11:20
the
11:20
more
11:21
you
11:21
just
11:21
continue
11:21
to,
11:22
to
11:22
fuel
11:23
the
11:23
flywheel
11:23
that
11:24
Walmart
11:24
has
11:24
been
11:24
fueling
11:25
so
11:25
successfully
11:26
now
11:26
for
11:26
the
11:26
past,
11:27
you
11:27
know,
11:27
five
11:27
or
11:28
six
11:28
years.
11:28
And
11:29
what
11:29
do
11:29
you
11:29
guys
11:29
think
11:30
about,
11:31
you
11:31
know,
11:31
the,
11:31
the,
11:32
the
11:32
information
11:33
being
11:33
passed
11:34
here?
11:34
Like,
11:34
I
11:34
think
11:34
that's
11:35
another
11:35
thing
11:35
is
11:35
like
11:36
Amazon's
11:36
keeping
11:36
their
11:37
walled
11:37
gardens.
11:37
They
11:38
don't
11:38
want
11:38
people
11:38
to
11:39
be
11:39
going
11:40
through
11:40
ChatGPT
11:41
to
11:41
search
11:41
for
11:41
products
11:42
that
11:42
they're
11:42
keeping
11:43
it
11:43
to,
11:43
going
11:44
to
11:44
Amazon
11:44
to
11:44
search
11:45
for
11:45
products.
11:45
And
11:45
Walmart's
11:46
opening
11:46
this
11:46
up
11:46
now.
11:47
They're
11:47
sharing
11:47
this
11:47
data.
11:48
But
11:49
do
11:49
you
11:49
think
11:50
that
11:51
no
11:51
data
11:51
or
11:52
that
11:52
shared
11:53
data
11:53
is
11:53
better
11:53
than
11:54
no
11:54
data,
11:54
like
11:55
the
11:55
Amazon
11:55
approach
11:55
here?
11:56
Does
11:56
anybody
11:56
have
11:56
an
11:57
opinion
11:57
on
11:57
that?
11:57
I
11:57
mean,
11:58
I
11:58
think
11:58
I
11:59
do.
11:59
You
11:59
know,
12:00
look,
12:00
I,
12:00
I
12:00
think
12:00
I,
12:01
I
12:02
am
12:02
gonna
12:02
probably
12:03
follow
12:03
the
12:03
lead
12:03
up,
12:03
agreeing
12:04
with
12:04
Chris
12:04
here.
12:04
He
12:05
and
12:05
I
12:05
are
12:05
on
12:05
the
12:05
same
12:05
page
12:06
again
12:06
on
12:06
this
12:06
one
12:07
like
12:07
before.
12:07
But
12:08
I
12:08
thought
12:08
the
12:08
first
12:08
thing
12:09
I
12:09
thought
12:09
of
12:09
is
12:10
watch
12:10
out
12:10
Amazon.
12:12
And
12:12
I
12:12
think
12:12
Amazon
12:13
wants
12:14
to
12:14
be
12:14
the
12:15
largest
12:15
search
12:15
engine
12:16
and
12:16
I
12:16
think
12:17
this
12:17
is
12:17
going
12:18
to
12:18
give
12:18
them
12:18
a
12:18
kick,
12:19
that
12:20
there's
12:20
other
12:20
ways
12:21
to
12:21
go
12:21
about
12:21
it
12:22
and
12:22
the
12:23
data
12:23
is
12:23
out
12:23
there,
12:24
so
12:24
why
12:24
not
12:25
Use
12:25
it
12:25
to
12:25
your
12:25
advantage.
12:26
I
12:26
think
12:26
Walmart's
12:27
being
12:27
strategic
12:28
to
12:28
say
12:28
let's
12:29
take
12:29
the
12:29
data
12:29
we
12:30
have
12:30
and
12:30
really
12:32
utilize
12:32
it
12:33
in
12:33
a
12:33
way
12:33
that's
12:33
going
12:33
to
12:34
drive
12:34
traffic
12:34
in
12:35
consumers
12:36
through
12:37
benefit.
12:37
Yeah.
12:38
Chris,
12:38
what
12:38
are
12:38
your
12:38
thoughts
12:39
there?
12:39
Last
12:39
word.
12:40
The
12:40
other
12:40
important
12:41
point
12:41
here
12:41
to
12:41
put
12:41
this
12:41
in
12:42
context
12:42
and
12:42
the
12:42
news
12:42
is
12:43
changing
12:43
is
12:43
happening
12:44
so
12:44
quickly.
12:44
Like
12:44
just
12:45
Yesterday,
12:46
you
12:46
know,
12:46
OpenAI
12:47
announced
12:47
their
12:47
new
12:48
browser
12:48
to
12:48
their
12:49
Atlas
12:49
browser.
12:50
Right.
12:50
And
12:51
we
12:51
saw
12:51
something
12:51
similar
12:52
from
12:52
Perplexity
12:53
too.
12:53
Anthropic
12:54
hasn't
12:54
come
12:54
out
12:55
with
12:55
that
12:55
yet.
12:55
And,
12:55
and
12:56
who's
12:56
the
12:56
biggest
12:57
investor
12:57
in
12:57
Anthropic?
12:58
I
12:58
believe
12:58
it's
12:58
Amazon.
12:59
If
12:59
they're
12:59
not
12:59
the
13:00
biggest,
13:00
they're
13:00
one
13:00
of
13:00
the
13:00
biggest.
13:01
So
13:01
Amazon
13:01
could
13:02
be
13:02
making
13:02
a
13:02
play
13:03
here
13:03
in
13:03
a
13:04
similar
13:04
way.
13:04
We
13:04
just
13:05
don't
13:05
know.
13:05
So
13:05
that's
13:06
how
13:06
I'd
13:06
answer
13:06
your
13:06
data
13:07
sharing
13:07
question,
13:07
Ann,
13:08
is,
13:08
I
13:08
think,
13:08
you
13:09
know,
13:09
is
13:09
Amazon
13:09
taking
13:09
that
13:10
approach?
13:10
I
13:11
don't
13:11
know
13:11
that
13:11
they're
13:11
creating
13:12
the
13:12
closed
13:12
garden
13:13
that
13:13
they
13:13
may
13:13
be
13:14
just
13:14
because
13:14
they
13:14
haven't
13:15
actively
13:15
been
13:16
talking
13:16
about
13:16
anything
13:17
that
13:17
could
13:17
still
13:17
be
13:18
coming
13:18
down
13:18
the
13:18
road
13:19
as
13:19
this
13:19
space
13:19
continues
13:20
to
13:20
evolve
13:20
and
13:21
the
13:21
ultimate
13:21
user
13:22
interface
13:22
gets
13:22
designed
13:23
in
13:23
this
13:23
Betamax
13:24
via
13:24
va,
13:24
you
13:25
know,
13:25
versus
13:25
VHS
13:26
battle
13:26
across
13:26
all
13:27
these
13:27
different,
13:27
you
13:28
know,
13:28
GPT
13:28
plot
13:29
like
13:29
platforms.
13:30
So
13:30
yeah,
13:31
man.
13:31
Wow.
13:31
It's
13:31
just
13:32
such
13:32
a
13:32
crazy
13:32
space.
13:32
All
13:33
right.
13:33
The
13:33
next
13:34
one
13:34
is
13:34
also
13:34
about
13:35
Marketplaces
13:35
and
13:36
is
13:36
perfect
13:36
for
13:36
Manolas.
13:37
Headline
13:37
number
13:37
two
13:38
Ulta
13:38
Beauty
13:38
has
13:39
launched
13:39
its
13:39
marketplace
13:40
according
13:40
to
13:41
a
13:41
retail
13:41
dive
13:41
dubbed
13:42
the
13:42
Ulta
13:42
Beauty
13:42
Marketplace
13:43
and
13:43
created
13:43
with
13:44
Miracle,
13:44
a
13:44
longtime
13:45
sponsor
13:45
of
13:46
this
13:46
podcast.
13:46
I
13:47
should
13:47
note
13:47
the
13:48
platform
13:48
launched
13:48
a
13:49
couple
13:49
of
13:49
weeks
13:49
ago,
13:49
according
13:50
to
13:50
an
13:50
email
13:51
that
13:51
Ulta
13:52
sent
13:52
customers
13:52
on
13:52
September
13:53
29.
13:53
In
13:54
a
13:54
press
13:54
release
13:54
from
13:54
the
13:55
beauty
13:55
retailer
13:55
on
13:55
Tuesday,
13:56
Ulta
13:56
said
13:56
it
13:57
plans
13:57
to
13:57
quickly
13:57
scale
13:58
its
13:58
Ulta
13:58
Beauty
13:58
Marketplace
13:59
assortment
14:00
over
14:00
the
14:00
next
14:00
12
14:01
to
14:01
18
14:01
months.
14:02
The
14:02
seller
14:02
listings
14:03
are
14:03
integrated
14:03
into
14:04
Ulta's
14:04
other
14:04
online
14:05
offerings
14:05
with
14:06
unified
14:06
search
14:06
results,
14:07
shopping
14:07
carts,
14:08
returns
14:08
and
14:09
checkout
14:09
processes.
14:10
While
14:10
shoppers
14:11
can
14:11
earn
14:11
Ulta
14:11
Beauty
14:12
Rewards
14:12
points
14:12
on
14:13
Marketplace
14:13
purchases,
14:14
they
14:14
cannot,
14:15
however,
14:15
redeem
14:15
those
14:15
points
14:16
on
14:16
Marketplace
14:17
listed
14:17
items
14:17
per
14:18
the
14:18
same
14:18
September
14:19
email.
14:20
Notably
14:20
different
14:20
than
14:21
some
14:21
other
14:21
online
14:22
retail
14:22
marketplaces
14:23
like
14:23
on
14:23
Best
14:23
Buy
14:24
and
14:24
Walmart,
14:24
the
14:24
platform
14:25
is
14:25
also
14:25
not
14:26
available
14:26
to
14:26
just
14:27
any
14:27
third
14:27
party
14:28
seller
14:28
and
14:28
is
14:29
only
14:29
open
14:29
by
14:30
invitation
14:30
directly
14:31
to
14:32
brands.
14:32
Manola,
14:33
what
14:34
is
14:34
your
14:34
consultative
14:35
point
14:35
of
14:35
view
14:36
on
14:36
what
14:36
Ulta
14:36
needs
14:37
to
14:37
get
14:37
right
14:37
in
14:37
order
14:37
to
14:38
make
14:38
its
14:38
marketplace
14:39
successful?
14:40
I
14:40
mean,
14:40
listen,
14:41
I
14:41
think
14:41
it's
14:41
a,
14:41
it's
14:42
a
14:42
balance
14:42
between
14:43
offering
14:44
a
14:44
breadth
14:44
of
14:44
assortment,
14:45
right?
14:45
But
14:46
still
14:47
something
14:48
that
14:48
feels
14:48
curated,
14:49
right?
14:49
You
14:49
don't
14:49
want
14:50
to
14:50
feel
14:50
like
14:50
you're
14:51
kind
14:51
of
14:51
out
14:52
in
14:52
the
14:52
world
14:52
without
14:53
a
14:53
lens
14:53
on
14:53
beauty
14:54
and
14:54
just
14:54
kind
14:54
of
14:54
shopping
14:54
random
14:55
things.
14:55
I
14:55
think
14:55
people
14:55
are
14:56
more
14:56
open
14:56
to
14:57
shopping
14:57
other
14:57
categories
14:58
in
14:58
an
14:58
open,
14:59
open,
14:59
more
14:59
open
14:59
marketplace
15:00
apparel,
15:01
but
15:01
things
15:01
that
15:01
you
15:01
put
15:02
directly
15:02
on
15:03
your
15:03
body
15:03
that
15:03
are,
15:04
you
15:04
know,
15:04
kind
15:04
of
15:04
near
15:05
your
15:05
eyes
15:05
and
15:05
things
15:05
like
15:06
that.
15:06
I
15:06
think
15:06
consumers
15:06
are
15:07
a
15:07
bit
15:07
more,
15:07
more
15:08
cautious.
15:08
But
15:08
it's
15:09
striking
15:09
that
15:10
balance
15:10
between
15:10
the,
15:11
the
15:11
breath
15:12
and
15:12
the
15:13
curation,
15:13
which
15:14
I
15:14
think
15:14
they,
15:14
they've
15:15
taken
15:15
a
15:15
good
15:15
first
15:16
step
15:16
in
15:16
having
15:17
only
15:17
it's
15:17
by
15:18
invitation,
15:18
right.
15:18
And
15:19
they're
15:19
doing
15:19
some
15:20
level
15:20
of
15:20
betting
15:21
of
15:21
the
15:21
quality
15:21
and
15:22
the,
15:22
the
15:22
types
15:22
of,
15:23
of
15:23
products
15:23
that
15:24
are,
15:24
that
15:24
are
15:24
being
15:24
sold.
15:24
So
15:25
I
15:25
think
15:25
that's
15:25
the.
15:26
Going
15:26
to
15:26
be
15:26
different
15:26
than
15:27
other
15:27
marketplaces,
15:28
but
15:28
they
15:28
do
15:28
have,
15:29
I
15:29
think,
15:29
to
15:29
maintain
15:29
that,
15:30
that
15:30
standard.
15:32
The
15:32
other
15:33
thing
15:33
that
15:34
comes
15:34
to
15:35
mind
15:35
is,
15:35
you
15:35
know,
15:35
the
15:36
points
15:36
integration,
15:37
that
15:38
feels
15:38
a
15:38
little
15:38
bit
15:38
clunky,
15:39
right?
15:39
Maybe
15:39
they'll,
15:40
that's
15:40
something
15:40
that
15:40
down
15:41
the
15:41
road
15:41
they'll
15:41
figure
15:41
out
15:42
how
15:42
to,
15:42
how
15:42
to
15:43
integrate.
15:43
But
15:43
if
15:43
I'm
15:43
an
15:44
alta
15:44
consumer,
15:45
you
15:45
know,
15:45
I
15:45
like
15:45
racking
15:46
up
15:46
those
15:46
points
15:46
and
15:46
I
15:47
don't
15:47
want
15:47
to
15:47
be
15:47
limited
15:48
in
15:48
what
15:48
I'm
15:49
going
15:49
to
15:49
use
15:50
them
15:50
where
15:50
I
15:50
can,
15:51
can
15:51
go
15:51
in
15:51
that.
15:51
Right.
15:52
Spend
15:52
them.
15:53
Right.
15:53
Especially
15:53
when
15:53
the
15:54
website,
15:54
I
15:54
think
15:55
there's
15:55
no
15:55
way
15:55
to
15:55
kind
15:55
of
15:55
filter
15:56
out
15:56
for
15:57
the
15:57
marketplace
15:58
offering.
15:58
So
15:59
it
15:59
all
15:59
kind
15:59
of
15:59
comes
15:59
together.
16:00
It
16:01
becomes
16:01
hard
16:01
to
16:01
parse
16:02
through
16:02
like,
16:02
okay,
16:02
where
16:03
can
16:03
I
16:03
use
16:03
my
16:04
points?
16:04
Where
16:04
can
16:04
I
16:05
not
16:05
use
16:05
the
16:05
points
16:06
so
16:06
that,
16:07
you
16:07
know,
16:07
probably
16:07
some
16:07
opportunity
16:08
for,
16:08
for
16:08
streamlining
16:10
there.
16:11
So.
16:11
No,
16:11
I'm
16:12
curious.
16:12
Like,
16:12
one
16:12
question
16:12
I
16:12
have,
16:13
like,
16:13
so
16:13
I,
16:13
I
16:13
love
16:13
the
16:13
move
16:14
overall.
16:14
You
16:14
know,
16:14
I'm
16:14
big
16:15
on
16:15
marketplaces
16:15
in
16:15
general.
16:16
I
16:16
love
16:17
the
16:17
curation
16:17
approach
16:18
for
16:18
now
16:18
as
16:19
well.
16:20
But,
16:20
you
16:20
know,
16:20
in
16:21
a
16:21
lot
16:21
of
16:21
ways,
16:21
you
16:21
know,
16:22
as.
16:23
Lisa,
16:23
you'll
16:23
probably
16:23
joke
16:24
at
16:24
this
16:24
one
16:24
too,
16:24
and
16:24
when
16:25
I
16:25
go
16:25
to
16:25
you
16:25
for
16:25
the
16:25
next
16:26
commentary.
16:26
But,
16:27
you
16:27
know,
16:28
it's
16:28
kind
16:28
of
16:28
a
16:28
predictable
16:29
approach.
16:29
Like
16:29
every
16:29
retailer
16:30
says,
16:30
we
16:30
want
16:30
a
16:30
curated
16:31
marketplace.
16:31
We
16:31
want
16:31
to
16:32
be
16:32
conscious
16:32
of
16:32
the
16:32
brand.
16:33
But
16:34
to
16:34
really
16:34
be
16:34
in
16:34
the
16:34
marketplace
16:35
game,
16:35
you
16:35
have
16:36
to,
16:36
you
16:36
have
16:36
to
16:37
at
16:37
some
16:37
point
16:37
move
16:37
quicker
16:38
and
16:38
open,
16:38
you
16:39
know,
16:39
open
16:39
the
16:39
doors
16:40
a
16:40
little
16:40
bit
16:40
wider
16:40
than
16:41
you're
16:41
probably
16:41
comfortable
16:41
with.
16:42
So
16:42
I'm
16:42
curious,
16:42
Manola,
16:43
you
16:43
know,
16:43
based
16:44
on,
16:44
based
16:44
on
16:44
your
16:45
work
16:45
in
16:45
transformation
16:45
and
16:46
organizational
16:47
structuring,
16:49
how
16:49
would
16:49
you
16:50
recommend
16:51
people
16:51
go
16:52
faster
16:52
in
16:53
terms
16:53
of
16:53
the
16:53
curation
16:54
of
16:54
their
16:54
marketplace
16:55
to
16:55
bring
16:55
more
16:56
vendors
16:56
on
16:56
more
16:57
quickly?
16:57
I
16:57
mean,
16:57
there's,
16:58
there's
16:58
ways
16:58
to
16:58
kind
16:58
of
16:59
standardize
16:59
and
17:00
in
17:00
beauty
17:00
there's,
17:00
you
17:00
know,
17:01
for
17:01
example,
17:01
if
17:01
we're
17:01
concerned
17:02
about
17:02
quality,
17:02
there's
17:02
external
17:03
third
17:03
parties
17:04
that
17:04
certify
17:04
on,
17:05
you
17:05
know,
17:05
different
17:05
quality
17:06
levels.
17:06
So
17:06
you're
17:07
able
17:07
to
17:07
know
17:07
where
17:07
these,
17:08
you
17:08
know,
17:08
products
17:08
are
17:08
manufactured
17:09
and
17:09
have
17:09
kind
17:10
of
17:10
a,
17:10
kind
17:11
of
17:11
a
17:11
ring
17:11
fence
17:12
that's
17:12
not
17:12
quite
17:12
as
17:13
tight.
17:13
Right.
17:13
And
17:13
you're,
17:14
it's
17:14
a
17:14
supply
17:14
chain
17:15
that's
17:15
fairly
17:15
transparent.
17:16
Right.
17:16
So
17:16
you're
17:17
able
17:17
to
17:17
maybe
17:18
come
17:18
at
17:18
it
17:18
from,
17:19
from
17:19
that
17:20
angle.
17:20
I
17:20
think
17:21
the
17:21
curation
17:21
piece
17:22
is,
17:22
yes,
17:23
you
17:23
need
17:23
to
17:23
get
17:23
scale
17:23
in
17:23
order
17:24
to
17:24
have
17:24
a
17:24
marketplace
17:24
that
17:25
works,
17:25
but
17:25
you
17:25
also
17:26
need
17:26
to
17:26
serve
17:27
people
17:27
the
17:27
right
17:28
product
17:28
within
17:28
that
17:29
marketplace.
17:29
Right.
17:29
So
17:30
it's
17:30
kind
17:30
of
17:30
also
17:31
an
17:31
internal
17:31
kind
17:32
of
17:32
personalization
17:33
and
17:33
processes
17:34
that
17:34
you
17:34
need
17:35
to
17:35
set
17:35
up
17:35
so
17:35
that
17:36
within
17:36
this
17:37
enormous
17:37
assortment,
17:38
people
17:38
can
17:38
come
17:38
in
17:39
and
17:39
see
17:39
things
17:39
that
17:39
are
17:40
relevant
17:40
to
17:40
them.
17:41
Right.
17:41
So,
17:41
you
17:41
know,
17:42
I
17:42
don't
17:42
know,
17:42
maybe
17:42
it
17:42
links
17:43
back
17:43
to
17:43
the
17:43
AI
17:44
question,
17:44
right.
17:44
Of
17:45
like,
17:45
how
17:45
do
17:45
you
17:46
then
17:46
navigate
17:47
the
17:47
marketpl?
17:48
So
17:49
I
17:49
think
17:49
it's,
17:49
it's
17:50
curation
17:50
from
17:50
those
17:50
two
17:51
senses
17:51
of
17:51
like,
17:51
who
17:51
do
17:52
you
17:52
let
17:52
in,
17:52
but
17:52
also
17:53
who
17:53
do
17:53
you
17:53
serve
17:54
to
17:54
people
17:55
when
17:55
they
17:55
show
17:55
up?
17:55
And
17:56
is
17:56
that
17:56
right
17:57
for,
17:57
for
17:57
each
17:57
individual
17:58
person?
17:58
Yeah,
17:58
I
17:59
like
17:59
what
17:59
you're
17:59
saying
17:59
there
17:59
too.
17:59
Cause
18:00
that's
18:00
what
18:00
I
18:00
always
18:00
think
18:00
about.
18:00
Like
18:00
there
18:00
should
18:01
be
18:01
a
18:01
defined
18:01
rubric
18:02
for
18:02
who
18:02
you're
18:02
going
18:03
to
18:03
let
18:03
come
18:03
in
18:04
so
18:04
that
18:04
it,
18:04
you
18:05
know,
18:05
quickens
18:05
the
18:05
process
18:06
versus
18:06
you're
18:06
just
18:06
finding
18:07
them
18:07
and
18:07
deciding
18:08
if
18:08
they're
18:08
right
18:08
for
18:09
you,
18:09
you
18:09
know.
18:09
Lisa,
18:10
what
18:10
do
18:10
you
18:10
think
18:10
though?
18:11
Look,
18:11
I
18:11
think
18:12
the,
18:12
the
18:12
first
18:13
two
18:13
things
18:13
that
18:13
came
18:13
to
18:14
my
18:14
mind
18:14
is,
18:15
is
18:16
in
18:16
order
18:16
for
18:16
it
18:16
to
18:17
be
18:17
successful,
18:18
it
18:18
has
18:19
to
18:19
be
18:19
an
18:19
Ulta
18:20
experience.
18:21
And
18:21
how
18:22
do
18:22
they
18:22
think
18:22
about
18:22
that
18:23
experience?
18:23
That's
18:24
true
18:24
to
18:24
Ulta.
18:25
And
18:25
then
18:25
I
18:25
think
18:26
speed
18:26
of
18:26
delivery
18:27
is
18:28
going
18:28
to
18:28
be
18:28
another
18:29
thing,
18:29
you
18:30
know,
18:30
as
18:30
we
18:30
think
18:30
about
18:30
the
18:31
other
18:31
competitors,
18:32
if
18:32
they
18:32
are
18:32
not
18:33
fast
18:33
enough,
18:34
why
18:34
would
18:35
I
18:35
go
18:35
to
18:35
their
18:35
marketplace?
18:36
I
18:37
think
18:37
the
18:37
risk
18:37
could
18:38
be
18:38
that
18:38
they're
18:38
having
18:39
the
18:39
brand
18:39
ship
18:39
direct.
18:41
Right.
18:41
So
18:42
I
18:42
think
18:42
the
18:43
risk
18:43
could
18:43
be,
18:43
is
18:43
the
18:44
service
18:44
level,
18:46
you
18:46
know,
18:46
stack
18:47
up
18:47
to
18:47
people
18:47
like
18:48
Walmart
18:48
and
18:48
Amazon
18:49
in
18:49
the
18:50
end,
18:50
because
18:51
that's
18:51
going
18:51
to
18:51
be
18:51
critical
18:52
to
18:52
the
18:52
consumer.
18:54
And
18:54
then
18:54
when
18:54
I
18:54
think
18:55
about
18:55
it,
18:55
I
18:55
do
18:55
think
18:56
in
18:56
order
18:56
for
18:56
it
18:56
to
18:57
be
18:57
meaningful,
18:57
they
18:58
are
18:58
going
18:58
to
18:59
have
18:59
to
18:59
broaden
18:59
the
19:00
assortment.
19:01
But
19:01
it
19:01
needs
19:01
to
19:02
be
19:02
true
19:02
to
19:02
who
19:02
ULTA
19:03
is
19:04
and
19:04
how
19:05
they've
19:05
made
19:05
that
19:05
selection.
19:06
Yeah,
19:06
and
19:06
that's
19:07
a
19:07
good
19:07
point
19:07
on
19:07
the
19:07
curation
19:08
too.
19:08
Like
19:08
you
19:08
want
19:08
to,
19:08
if
19:08
you're
19:09
Going
19:09
to
19:09
build
19:09
your
19:09
marketplace.
19:09
You
19:09
want
19:10
to
19:10
make
19:10
sure
19:10
that
19:10
the
19:10
vendors
19:10
you're
19:11
leaning
19:11
into
19:11
are
19:11
as
19:12
differentiated
19:12
as
19:12
possible
19:12
against
19:13
Walmart
19:13
and
19:13
Amazon
19:14
as
19:14
well.
19:15
And
19:15
what
19:15
is
19:15
your
19:15
take
19:16
here?
19:16
I,
19:16
I
19:17
agree
19:17
with
19:17
Lisa
19:18
and
19:18
Manola.
19:19
I
19:19
think
19:19
this
19:19
is
19:19
different
19:20
than
19:20
other
19:20
marketplaces
19:21
and
19:21
if
19:22
I
19:22
were
19:22
Ulta,
19:22
I
19:22
would
19:22
be
19:23
very
19:24
slow
19:24
in
19:25
building
19:25
this
19:25
marketplace
19:26
up
19:26
for
19:27
all
19:27
the
19:27
reasons
19:27
they
19:27
talked
19:28
about.
19:28
Beauty
19:29
is
19:29
different
19:29
than
19:29
a
19:30
mass
19:30
retailer,
19:30
than,
19:31
you
19:31
know,
19:31
a
19:31
Walmart
19:32
or
19:32
an
19:32
Amazon.
19:33
This
19:33
is
19:33
an
19:33
area
19:34
where
19:34
people
19:35
spend
19:35
time
19:36
and
19:36
they
19:36
invest,
19:37
you
19:37
know,
19:38
lots
19:38
of
19:38
money
19:39
in
19:39
these
19:39
products
19:40
and
19:40
they're
19:40
putting
19:40
them
19:40
on
19:41
their
19:41
body.
19:41
So
19:41
I
19:41
think
19:41
that
19:42
this
19:42
is
19:42
a,
19:42
is
19:43
a
19:43
category
19:43
where
19:43
curation
19:44
makes
19:44
sense.
19:45
I
19:45
also
19:46
really
19:46
like
19:46
this
19:46
move
19:47
from
19:47
the
19:47
Ulta
19:48
perspective
19:48
for
19:48
their
19:49
customers,
19:49
as
19:49
Lisa
19:50
was
19:50
alluding
19:50
to,
19:50
because
19:51
if
19:51
this
19:52
product
19:52
doesn't
19:52
work,
19:52
they're
19:53
also
19:53
able
19:53
to
19:54
bring
19:54
this
19:54
back
19:54
to
19:55
an
19:55
Alta
19:55
store
19:56
and
19:56
then
19:56
they
19:56
have
19:57
that
19:57
interaction
19:57
point.
19:58
So
19:58
I
19:58
think
19:58
this
19:58
is
19:58
actually
19:58
going
19:59
to
19:59
help
19:59
drive
19:59
some
19:59
traffic
20:00
to
20:00
Ulta
20:00
stores.
20:01
If
20:01
they
20:01
don't
20:02
find
20:02
the
20:02
right
20:02
product
20:02
or
20:03
if
20:03
that
20:03
product
20:03
isn't
20:04
good,
20:04
good
20:04
for
20:05
them.
20:05
That
20:05
gives
20:06
another
20:06
sales
20:07
opportunity
20:07
post
20:08
purchase
20:08
for
20:08
Ulta
20:09
customers
20:10
and
20:11
for
20:11
Ulta
20:12
staff
20:12
to
20:12
kind
20:13
of
20:13
get
20:13
them
20:13
into
20:13
the
20:13
right
20:14
product,
20:14
maybe
20:14
that
20:14
is
20:15
in
20:15
store
20:15
so
20:15
they're
20:16
not
20:16
leaving
20:16
without
20:17
anything
20:17
in
20:18
hand.
20:18
They,
20:18
they
20:19
see.
20:19
Okay,
20:19
you
20:19
liked,
20:20
what
20:20
were
20:20
the
20:20
attributes
20:21
of
20:21
this
20:21
product
20:21
that
20:22
you
20:22
chose
20:22
online
20:23
and
20:23
how
20:23
do
20:23
we
20:23
find
20:24
you
20:24
something
20:24
next
20:25
to
20:25
either
20:25
test
20:26
or
20:26
to
20:27
walk
20:27
home
20:27
with
20:27
in
20:28
store?
20:29
So,
20:29
so
20:29
I
20:29
like
20:30
this
20:30
move
20:30
in
20:31
general
20:31
for
20:31
Ulta
20:32
as,
20:32
you
20:32
know,
20:32
one,
20:33
providing
20:33
their
20:33
consumers
20:34
with
20:34
a
20:34
curated
20:36
assortment
20:36
both
20:37
online
20:37
and
20:37
offline
20:38
and
20:38
then
20:38
two,
20:39
as
20:39
a
20:39
potential
20:40
post
20:40
purchase
20:41
traffic
20:41
driver.
20:41
So
20:42
I,
20:42
I'm,
20:42
I'm
20:42
all
20:43
in
20:43
on
20:43
it.
20:43
I
20:43
love
20:43
it.
20:43
Manola,
20:44
that
20:44
brings
20:44
up
20:44
another
20:45
question
20:45
for
20:45
me
20:45
that
20:45
I
20:45
want
20:45
to
20:45
go
20:46
to
20:46
you
20:46
for.
20:46
The
20:46
last
20:47
point
20:47
here
20:47
is,
20:47
you
20:47
know,
20:48
part
20:48
of
20:48
a
20:48
marketplace
20:49
idea
20:49
is
20:49
also
20:49
the
20:50
category
20:50
expansion,
20:51
you
20:51
know,
20:51
and
20:51
so
20:51
like
20:51
I
20:52
could
20:52
think
20:52
of,
20:52
you
20:52
know,
20:52
categories
20:53
that
20:53
might
20:53
be
20:54
very
20:54
relevant
20:55
to
20:55
a
20:55
beauty
20:55
purchase,
20:55
like
20:56
a
20:56
vanity,
20:56
let's
20:57
say,
20:57
you
20:58
know,
20:58
how
20:58
do
20:58
you
20:59
think
20:59
about
20:59
that
20:59
and
20:59
how
21:00
would
21:00
you
21:00
advise
21:00
Ulta
21:01
to
21:01
handle
21:01
the
21:01
category
21:02
expansion
21:03
question,
21:03
if
21:03
at
21:04
all.
21:04
That's
21:04
an
21:05
interesting
21:05
lens.
21:05
And
21:06
I
21:06
think,
21:06
you
21:06
know,
21:07
beauty
21:07
has
21:07
been
21:08
expanding
21:09
into
21:09
kind
21:09
of
21:10
adjacent
21:10
categories
21:11
and
21:11
kind
21:11
of
21:11
blurring
21:12
with,
21:12
you
21:12
know,
21:13
wellness
21:13
comes
21:14
to
21:14
mind.
21:14
Right.
21:14
So
21:15
it's,
21:15
you
21:15
know,
21:15
are
21:15
you
21:15
taking
21:16
vitamins
21:16
to
21:16
feel
21:17
good
21:17
or
21:17
to
21:17
look
21:17
good
21:18
or
21:18
a
21:18
little
21:18
bit
21:18
of
21:18
both.
21:19
And
21:19
then
21:19
that's
21:20
a
21:20
quick
21:20
step
21:21
into,
21:21
you
21:21
know,
21:21
yoga
21:22
or
21:22
you
21:23
know,
21:23
other
21:23
wellness
21:24
related
21:25
spheres.
21:26
So
21:26
I
21:26
Do
21:26
think
21:27
there's
21:27
kind
21:27
of,
21:27
there
21:28
is
21:28
probably
21:28
a
21:28
lifestyle
21:29
angle
21:30
that
21:30
you
21:30
can
21:30
anchor
21:31
on
21:31
beauty
21:31
and
21:31
it
21:32
does
21:32
need,
21:32
you
21:32
know,
21:32
there's
21:32
a
21:32
limit
21:33
to
21:33
how
21:33
much
21:33
you
21:33
can
21:34
stretch
21:35
but
21:35
I
21:35
think
21:35
as
21:35
long
21:36
as
21:36
it
21:36
is.
21:37
No
21:37
pun
21:37
intended.
21:38
Yes.
21:40
I
21:40
think
21:40
as
21:41
long
21:41
as
21:41
consumers,
21:41
you
21:41
know,
21:42
you're
21:42
not
21:42
cluttering
21:42
them
21:43
and
21:43
they
21:43
can,
21:44
it
21:44
can
21:44
be
21:44
a
21:44
pull
21:45
versus
21:45
a
21:45
push.
21:46
Right.
21:47
I
21:47
think
21:48
it's
21:48
a
21:48
good
21:49
point
21:49
and
21:50
it's
21:50
an
21:50
opportunity
21:51
to
21:51
expand
21:51
into
21:51
other
21:52
categories
21:52
without
21:52
dragging
21:53
vanities
21:53
for
21:54
example
21:54
into
21:54
the
21:54
Ulta
21:55
stores.
21:55
Right.
21:55
You
21:55
can
21:56
play
21:56
into
21:56
these
21:57
higher
21:58
ticket
21:58
maybe
21:58
difficult
21:59
inventory
21:59
to
22:00
manage
22:00
without
22:01
cluttering
22:02
the
22:03
brick
22:03
and
22:03
mortar
22:04
channel
22:05
for
22:05
example.
22:06
All
22:06
right,
22:06
let's
22:07
go
22:07
on
22:07
to
22:07
headline
22:08
number
22:09
three.
22:09
New
22:10
research
22:10
suggests
22:11
that
22:11
Gen
22:11
Z
22:12
will
22:12
redefine
22:13
Britain's
22:13
high
22:14
streets
22:14
into
22:14
social
22:15
tech
22:15
driven
22:15
hubs
22:16
by
22:16
2050
22:17
according
22:17
to
22:18
the
22:18
Retail
22:18
Gazette
22:19
and
22:19
to
22:19
New
22:20
Retail
22:20
2050
22:21
research
22:21
from
22:22
American
22:22
Express
22:22
conducted
22:23
in
22:23
partnership
22:23
with
22:24
Futures
22:24
consultancy
22:25
Trajectory
22:26
success
22:27
on
22:27
the
22:27
high
22:28
street
22:28
will
22:28
depend
22:28
not
22:29
just
22:29
on
22:29
what
22:29
businesses
22:30
sell
22:30
but
22:31
on
22:31
quote,
22:32
how
22:32
they
22:32
make
22:32
consumers
22:33
feel.
22:33
Blending
22:34
technology,
22:34
experience
22:35
and
22:35
community
22:36
into
22:36
every
22:36
visit.
22:37
And
22:37
quote
22:38
for
22:38
Gen
22:38
Z,
22:38
the
22:38
high
22:39
street
22:39
visit
22:39
is
22:39
about
22:40
far
22:40
more
22:40
than
22:40
shopping,
22:41
says
22:41
the
22:41
study.
22:42
Two
22:42
thirds
22:43
or
22:43
65%
22:43
say
22:44
each
22:44
trip
22:44
should
22:44
deliver
22:45
something
22:45
they
22:45
can't
22:46
get
22:46
online.
22:46
Well,
22:47
nearly
22:47
4
22:47
and
22:47
5,
22:48
79%
22:49
want
22:49
future
22:50
retail
22:50
destinations
22:51
to
22:51
blend
22:51
shopping
22:52
with
22:52
dining,
22:52
drinking
22:53
and
22:53
leisure.
22:54
Three
22:54
quarters
22:55
or
22:55
76%
22:56
of
22:56
Gen
22:56
Z
22:56
believe
22:57
retailers
22:57
should
22:57
use
22:58
AI
22:58
to
22:58
create
22:58
more
22:59
immersive
22:59
in
23:00
store
23:00
experiences
23:01
while
23:01
60%
23:02
say
23:02
they
23:03
would
23:03
be
23:03
more
23:03
likely
23:04
to
23:04
visit
23:04
shops
23:05
offering
23:05
digital
23:05
try
23:06
ons
23:06
or
23:06
AI
23:06
generated
23:07
styling
23:08
advice.
23:09
Lisa,
23:09
you
23:09
were
23:10
just
23:10
in
23:10
London
23:11
so
23:11
we're
23:12
going
23:12
to
23:12
go
23:12
to
23:12
you
23:12
on
23:12
this
23:12
one.
23:13
Are
23:13
you
23:13
buying
23:13
or
23:14
selling?
23:14
The
23:14
evolution
23:15
of
23:15
Britain's
23:15
high
23:16
streets
23:16
into
23:16
social
23:17
tech
23:17
driven
23:17
hubs
23:18
by
23:18
2050.
23:19
I
23:19
have
23:20
to
23:20
say
23:20
when
23:21
I
23:21
first
23:21
read
23:22
the
23:22
headline
23:23
my
23:24
first
23:24
immediate
23:24
reaction
23:25
was
23:25
no
23:26
way.
23:26
Like
23:26
that
23:27
was
23:27
my
23:27
immediate
23:27
like
23:28
quick
23:28
reaction.
23:29
And
23:29
then
23:29
as
23:30
I
23:30
thought
23:30
about
23:30
it
23:31
and
23:31
I
23:31
stepped
23:31
back,
23:31
I
23:32
was
23:32
just
23:32
in
23:32
London.
23:33
I
23:33
moved
23:34
my,
23:34
my
23:34
youngest
23:35
daughter
23:35
over
23:35
there
23:36
to
23:36
do
23:36
a
23:37
master's
23:37
program
23:37
for
23:38
a
23:38
year
23:38
and
23:39
geez,
23:39
I
23:39
thought
23:39
New
23:40
York
23:40
was
23:40
the
23:40
city
23:40
that
23:41
didn't
23:41
sleep.
23:41
But
23:42
London,
23:42
I
23:43
don't
23:43
know,
23:43
it
23:43
may
23:43
have
23:44
something
23:44
on
23:44
New
23:44
York.
23:45
It's,
23:45
it's
23:45
pretty,
23:46
pretty
23:46
heavy
23:46
traffic
23:47
over
23:47
there
23:48
and
23:49
crazy
23:50
at
23:50
all
23:50
times.
23:51
But
23:51
as
23:52
I
23:52
stepped
23:52
back
23:52
and
23:53
thought
23:53
about
23:53
it
23:53
and
23:54
really
23:54
loved
23:55
all
23:55
the
23:55
statistics
23:56
in
23:56
the
23:56
article
23:56
because
23:57
it's
23:57
true,
23:58
I
23:58
do
23:58
think
23:58
the
23:59
Gen
23:59
Z
23:59
is
23:59
demanding
24:01
experiential,
24:02
they're
24:02
demanding
24:04
connection
24:04
points
24:05
where
24:05
they
24:05
want
24:05
to
24:06
meet
24:06
up
24:06
and
24:06
Go
24:07
together.
24:08
It's
24:08
kind
24:08
of
24:09
gonna
24:09
have
24:09
to,
24:09
I
24:09
think,
24:10
replace
24:10
what
24:10
the
24:11
mall
24:11
was
24:11
to
24:12
the
24:12
boomers.
24:13
Right.
24:13
If
24:13
you
24:13
think
24:14
about
24:14
it
24:15
now,
24:15
Gen
24:15
Z
24:15
wants
24:16
to
24:16
be
24:16
on
24:16
the
24:16
high
24:17
stripe
24:17
street.
24:17
They
24:18
want
24:18
to
24:18
be
24:18
social.
24:20
I
24:20
think
24:20
that
24:20
they're
24:21
gonna
24:21
want
24:21
to
24:21
have,
24:21
they're
24:21
gonna
24:22
have
24:22
to
24:22
want
24:22
people,
24:23
make
24:23
people
24:23
want
24:24
to
24:24
go
24:24
there.
24:26
Because
24:26
it
24:26
is
24:27
a
24:27
trip.
24:27
Right.
24:28
And
24:29
I
24:29
think
24:30
it
24:30
is
24:30
gonna
24:30
happen.
24:31
I
24:31
do.
24:31
I
24:32
mean,
24:32
and
24:32
as
24:32
I
24:32
stepped
24:33
back
24:33
and
24:33
thought
24:33
about
24:33
it,
24:33
I
24:34
go,
24:34
okay,
24:35
a
24:35
while
24:36
from
24:36
now.
24:36
So
24:36
I'm
24:37
pretty
24:37
sure
24:37
they
24:37
can
24:37
figure
24:38
out
24:38
how
24:38
to
24:38
make
24:38
it
24:38
happen.
24:39
But
24:40
I
24:40
think
24:40
they're
24:40
going
24:40
to
24:40
have
24:40
to
24:41
do
24:41
it
24:41
to
24:41
keep
24:41
the
24:42
real
24:42
estate
24:42
prices
24:43
in
24:43
check.
24:44
Yeah.
24:45
Well,
24:45
at
24:45
least
24:46
how
24:46
would
24:47
you
24:47
be
24:47
advising
24:48
brands,
24:49
especially
24:49
having
24:50
your
24:50
background
24:50
working
24:51
for
24:51
some
24:51
large,
24:52
large
24:53
brands,
24:53
especially
24:53
in
24:54
the
24:54
fashion
24:54
and
24:54
apparel
24:55
space,
24:56
how
24:56
would
24:56
you
24:56
be
24:56
advising
24:57
them
24:57
to
24:57
start
24:57
thinking
24:58
about
24:58
this?
24:58
Where
24:58
would
24:58
you
24:59
be
24:59
telling
24:59
them
24:59
to
24:59
invest
25:00
as
25:00
they're
25:00
trying
25:00
to
25:00
like
25:01
build
25:01
this
25:01
strategy
25:02
for
25:02
2050?
25:03
I
25:03
do
25:03
think
25:04
it
25:04
is
25:04
about
25:05
the
25:05
consumer
25:06
touch
25:06
points.
25:07
I'll
25:07
go
25:07
back
25:07
to
25:08
my,
25:08
one
25:08
of
25:08
my
25:08
old
25:08
alma
25:09
maters
25:10
who
25:10
is
25:11
doing
25:11
quite
25:11
well
25:11
today.
25:12
So
25:12
a
25:13
shout
25:14
out
25:14
to
25:14
Levi
25:15
Strauss
25:15
and
25:16
company.
25:17
Levi's
25:17
is
25:18
having
25:18
a
25:18
moment
25:19
and
25:19
it's
25:19
amazing
25:20
to
25:20
see.
25:21
And
25:22
I
25:22
think
25:22
I
25:23
remember
25:23
when
25:23
we
25:23
started
25:24
putting
25:24
tailor
25:25
shops
25:27
on
25:27
Regent
25:28
street
25:28
and
25:29
Oxford
25:29
street
25:29
and
25:30
that
25:30
allowed
25:31
for
25:31
that
25:31
connection,
25:31
that
25:32
gathering
25:32
also
25:33
allowed
25:33
for
25:33
that
25:34
creativity.
25:35
So
25:35
I
25:36
think
25:36
you
25:36
have
25:36
to
25:36
take
25:36
a
25:36
step
25:37
back
25:37
and
25:37
think
25:37
about
25:38
how
25:38
does
25:38
my
25:39
brand
25:39
connect
25:39
with
25:40
consumers
25:42
and
25:42
then
25:42
what
25:43
experience
25:44
could
25:44
I
25:44
give
25:45
them
25:45
that
25:45
is
25:46
so
25:46
relevant
25:47
to
25:47
my
25:47
brand?
25:48
Sure.
25:49
And
25:49
how
25:49
maybe
25:50
like,
25:50
what
25:50
are
25:50
you
25:50
driving
25:51
them
25:51
there
25:51
to
25:51
do
25:51
too?
25:52
Like
25:52
the
25:52
tailoring,
25:53
for
25:53
example.
25:53
Like
25:53
maybe
25:54
you're
25:54
not
25:54
buying
25:54
something
25:55
that
25:55
time,
25:55
but
25:56
you're
25:56
bringing
25:56
them
25:56
in
25:57
because
25:57
you're
25:57
offering
25:58
a
25:58
special
25:58
kind
25:58
of
25:58
tailoring
25:59
or
25:59
enhancement
26:00
to
26:00
their
26:00
current
26:00
product.
26:01
And
26:01
then
26:01
you're,
26:01
you're
26:02
building
26:02
on
26:02
that
26:02
experience
26:03
while
26:03
they're
26:03
there.
26:03
That
26:04
makes
26:04
sense.
26:05
And
26:05
you're
26:05
building
26:06
on
26:06
kind
26:06
of
26:06
the
26:06
passion
26:07
for
26:07
the
26:07
brand.
26:08
Because
26:08
everybody
26:08
loves
26:09
a
26:09
story
26:09
about
26:10
their
26:10
old
26:10
Levi's
26:11
or
26:11
their
26:11
first
26:11
Levi.
26:12
So
26:12
imagine
26:13
you're
26:13
bringing
26:13
it
26:13
in
26:13
and
26:14
maybe
26:14
blending
26:14
it
26:15
with
26:15
new
26:15
product
26:15
and
26:16
old
26:16
product.
26:17
Yeah.
26:18
You
26:18
know,
26:18
I
26:18
think,
26:18
you
26:19
know,
26:19
another
26:19
way
26:20
we've
26:20
seen
26:20
the
26:20
sports
26:21
brands
26:22
show
26:22
up
26:23
and
26:23
be
26:24
interactive.
26:25
I
26:25
think,
26:25
you
26:25
know,
26:26
the
26:26
big
26:26
guys,
26:27
Nike
26:27
and
26:27
Adidas
26:28
have
26:28
been
26:28
testing
26:28
this
26:28
for
26:29
some
26:29
time.
26:29
I
26:29
don't
26:30
know
26:30
that
26:30
they've
26:30
exactly
26:31
got
26:31
it
26:31
it
26:31
right.
26:32
The
26:32
one
26:32
thing
26:32
I
26:32
will
26:33
say,
26:33
and
26:33
I
26:33
think
26:33
I
26:34
said
26:34
this
26:34
in
26:34
a
26:34
question
26:35
the
26:35
last
26:35
time.
26:36
Yeah.
26:36
They
26:36
got
26:36
to
26:36
make
26:36
sure
26:37
the
26:37
Tech
26:37
works.
26:38
They
26:38
gotta
26:38
make
26:38
sure
26:38
the
26:39
tech
26:39
works,
26:39
right?
26:40
Yes,
26:41
yes.
26:41
Lots
26:42
of
26:42
digital
26:42
screens,
26:42
right,
26:43
Lisa?
26:43
That's
26:43
what
26:43
they
26:43
do.
26:44
Exactly,
26:45
exactly.
26:46
And
26:46
they
26:47
have
26:47
to
26:47
make
26:47
sure
26:47
it's
26:47
interactive.
26:48
Yes,
26:49
absolutely.
26:50
Chris,
26:51
are
26:51
you
26:51
in
26:51
agreement
26:52
with
26:52
Lisa
26:52
this
26:52
time
26:53
around?
26:53
What
26:53
do
26:53
you
26:53
think
26:53
of
26:54
high
26:54
streets
26:55
and
26:55
their
26:56
Gen
26:56
Z
26:56
approach?
26:57
Yeah,
26:57
I
26:57
mean,
26:58
I
26:58
agree
26:58
with
26:58
everything
26:58
she
26:59
said,
26:59
but
26:59
I,
27:01
I'm,
27:02
when
27:02
I
27:02
step
27:02
back
27:03
and
27:03
I
27:03
put
27:03
my,
27:03
you
27:04
know,
27:04
God,
27:04
how
27:04
long
27:05
is
27:05
it
27:05
now?
27:05
I
27:05
don't
27:05
even
27:06
want
27:06
to
27:06
age
27:06
myself.
27:06
Almost
27:06
30
27:07
years
27:07
of
27:07
being
27:07
in
27:08
retail.
27:08
I
27:09
just
27:09
kind
27:09
of
27:09
look
27:09
at
27:09
this
27:09
headline
27:10
and
27:10
think
27:10
it's
27:10
a
27:10
nothing
27:11
headline.
27:11
It's,
27:11
it's
27:11
not
27:12
saying
27:12
anything
27:12
really.
27:13
All
27:13
that,
27:13
you
27:14
know,
27:14
evocative
27:15
like,
27:15
okay,
27:16
younger
27:16
generations
27:16
want
27:17
tech,
27:17
they
27:17
want
27:18
more
27:18
social
27:18
experiences,
27:19
they
27:19
want
27:19
a
27:19
reason
27:19
to
27:19
go
27:20
to
27:20
a
27:20
store.
27:20
Yeah.
27:21
It's
27:21
our
27:21
job
27:21
as
27:22
retailers
27:22
to
27:23
figure
27:23
that
27:23
out
27:23
and
27:24
how
27:24
to
27:24
do
27:24
that.
27:25
It's
27:25
been
27:25
that
27:25
same
27:25
way
27:26
forever.
27:26
It's
27:26
not
27:27
anything
27:27
new,
27:27
so
27:27
it's
27:28
not
27:28
an
27:28
earth
27:28
shattering
27:29
to
27:29
me.
27:29
It's
27:30
just
27:30
good
27:30
retailing.
27:30
It.
27:31
The,
27:31
the
27:31
way
27:32
like
27:32
the
27:32
words
27:32
that
27:33
came
27:33
to
27:33
my,
27:33
the
27:33
word
27:33
that
27:33
came
27:34
to
27:34
my
27:34
mind
27:34
as
27:34
I
27:34
was
27:34
listening
27:34
to
27:34
Lisa
27:35
talk
27:35
is
27:35
like,
27:35
yeah,
27:36
you're
27:36
on
27:36
high
27:36
street,
27:37
you
27:37
got
27:37
to
27:37
have
27:37
a
27:37
good
27:37
flagship
27:38
strategy
27:39
to
27:39
hook
27:39
people
27:40
and
27:40
get
27:40
them
27:40
to
27:40
come
27:40
in
27:40
and
27:41
the
27:41
tech's
27:41
got
27:41
to
27:41
work.
27:41
So
27:42
like,
27:42
yeah,
27:42
I
27:42
don't
27:43
know,
27:43
I,
27:43
I
27:43
thought
27:44
this
27:44
was
27:44
more
27:44
of
27:44
a
27:44
clickbait
27:45
headline
27:45
than
27:45
an
27:46
actual
27:46
like,
27:46
transformative
27:47
indication
27:48
of
27:48
how
27:49
things
27:49
are
27:49
going
27:49
to
27:49
change.
27:50
Sure,
27:51
that
27:51
makes
27:51
sense.
27:51
Manoah,
27:53
close
27:53
us
27:53
out
27:54
here.
27:54
What
27:54
do
27:54
you
27:54
think?
27:54
Where,
27:55
where
27:55
do
27:55
you
27:55
land
27:55
on
27:56
this
27:56
clickbait
27:57
or
27:57
is
27:57
there
27:58
strategy
27:58
here
27:58
that
27:58
people
27:59
should
27:59
be
27:59
thinking
27:59
about?
28:00
I
28:00
mean,
28:00
I
28:01
think
28:01
it's
28:02
a
28:02
little
28:02
bit
28:02
of
28:02
both.
28:03
Right.
28:03
Because
28:03
I,
28:03
yeah,
28:04
yes.
28:05
Young
28:05
consumers,
28:06
they
28:06
are,
28:07
for
28:07
them,
28:07
you
28:07
know,
28:08
buying
28:08
is
28:08
not
28:09
the,
28:09
the
28:10
experience.
28:11
Buying
28:11
is
28:11
just,
28:12
you
28:12
know,
28:12
you
28:12
can
28:12
do
28:12
that
28:12
online.
28:13
You
28:13
have
28:13
so
28:13
many
28:14
options.
28:14
It's
28:14
not
28:14
this,
28:15
you
28:15
know,
28:15
we
28:15
went
28:15
and
28:15
walked
28:16
the
28:16
mall
28:16
and
28:16
that
28:17
was
28:17
the
28:17
experience.
28:17
Right.
28:18
Kind
28:18
of
28:18
like
28:18
shopping
28:18
and
28:19
maybe
28:19
thinking
28:19
about
28:19
shopping
28:20
or
28:20
transacting.
28:21
So,
28:22
yeah,
28:22
I
28:22
think
28:22
it's,
28:23
you
28:23
know,
28:24
that's
28:24
just
28:24
that
28:24
their
28:24
lives
28:25
are,
28:25
are
28:25
more
28:27
tech
28:27
infused
28:28
and
28:28
that's
28:29
just
28:29
how
28:29
they're
28:29
going
28:29
to
28:29
live
28:29
their
28:30
lives
28:30
in
28:30
retail
28:31
and
28:31
in
28:31
everything.
28:32
Right.
28:32
So
28:32
I
28:33
do
28:33
think
28:33
it's
28:33
going
28:33
to
28:33
be
28:33
a
28:34
natural
28:35
evolution
28:35
and
28:36
it's,
28:36
it's
28:36
underway,
28:37
so
28:37
it'll
28:37
happen.
28:38
But
28:38
is
28:38
it
28:39
super
28:39
shocking
28:40
that
28:40
it'll
28:40
happen?
28:40
I,
28:41
you
28:41
know,
28:41
maybe
28:42
not.
28:43
What
28:43
do
28:43
you,
28:43
what
28:43
do
28:44
you
28:44
think
28:44
about
28:44
like
28:44
one
28:45
of
28:45
the
28:45
things
28:45
that
28:45
I
28:45
thought
28:45
was
28:46
missing
28:46
from
28:46
this
28:46
article
28:47
is
28:48
worrying
28:48
about
28:49
product
28:49
availability.
28:50
Like
28:50
there's
28:50
nothing
28:50
in
28:50
here
28:51
talking
28:51
about
28:51
like
28:51
how
28:51
do
28:51
you
28:52
make
28:52
sure
28:52
that
28:52
you
28:52
have
28:52
inventory?
28:53
Like
28:53
if,
28:53
if
28:54
they
28:54
are
28:54
going
28:54
to
28:54
be
28:54
coming
28:55
physically
28:56
to
28:56
the
28:56
high
28:56
streets.
28:57
Like
28:57
what
28:57
is
28:57
your
28:58
investment
28:58
in
28:58
your
28:58
product
28:59
strategy
28:59
and
28:59
what
29:00
the
29:00
right
29:00
products
29:00
are
29:00
that
29:01
you're
29:01
going
29:01
to
29:01
be
29:01
carrying
29:01
on
29:01
shelves.
29:02
Manola
29:03
especially
29:03
I
29:04
think
29:04
is
29:04
this
29:04
is
29:04
important
29:05
in
29:05
the
29:05
beauty
29:05
category.
29:06
Like
29:06
I
29:06
want
29:06
to
29:06
be
29:07
able
29:07
to
29:07
try
29:07
that,
29:08
you
29:08
know,
29:08
moisturizer
29:09
that
29:09
I
29:09
saw
29:10
on
29:10
TikTok
29:10
if
29:10
I'm
29:11
going
29:11
to
29:11
the
29:11
high
29:11
street.
29:12
Do
29:12
you
29:12
think
29:13
that
29:13
that's
29:13
a
29:14
component
29:14
that
29:14
retailers
29:15
are
29:15
thinking
29:16
about
29:16
or
29:17
you
29:17
know,
29:17
is
29:18
this
29:18
something
29:18
that
29:18
AI
29:19
is
29:19
able
29:19
to
29:19
do
29:19
as
29:20
they
29:21
insinuate
29:21
in
29:21
the
29:21
article?
29:22
Well,
29:22
AI
29:22
can't
29:23
do
29:23
it
29:23
yet.
29:23
I
29:24
don't.
29:24
And
29:24
there's
29:24
things
29:24
where
29:25
like
29:25
I
29:25
don't
29:25
know
29:25
that
29:25
AI
29:26
can
29:26
tell
29:26
you
29:26
what
29:26
a
29:26
moisturizer
29:27
is
29:27
going
29:27
to
29:27
feel
29:27
like
29:28
on
29:28
your
29:28
face
29:29
ever.
29:30
But
29:30
you
29:31
know,
29:32
so
29:32
yeah,
29:32
I,
29:33
I
29:33
think
29:33
it's
29:33
that
29:34
balancing
29:34
of
29:34
the.
29:35
And
29:35
as
29:35
you
29:35
have
29:36
add
29:36
more
29:36
experience.
29:37
Right.
29:37
You
29:37
shrink
29:38
the
29:38
space
29:38
to
29:39
hold
29:39
actual
29:39
goods
29:40
that
29:40
you
29:40
convert
29:41
people
29:41
into.
29:42
So
29:42
yeah,
29:43
I
29:43
do
29:43
think
29:43
it's
29:43
a
29:43
point.
29:44
And
29:44
they're
29:44
going
29:44
to
29:44
have
29:44
to
29:44
be
29:44
smart
29:45
about,
29:45
you
29:45
know,
29:46
maybe
29:46
which
29:46
categories.
29:47
Absolutely.
29:47
It's
29:48
non
29:48
negotiable.
29:48
You
29:49
have
29:49
to
29:49
have
29:49
it
29:49
in
29:49
the
29:49
store
29:50
and
29:50
which
29:50
places.
29:51
It's
29:51
like,
29:51
okay,
29:51
maybe
29:51
you're
29:51
buying
29:52
this
29:52
jacket
29:52
and
29:52
you
29:53
can
29:53
use
29:53
a
29:53
magic
29:53
mirror,
29:54
see
29:54
it
29:54
in
29:54
the
29:54
navy
29:55
versus
29:55
the
29:55
gray
29:56
that
29:56
we
29:56
have
29:56
in
29:56
the
29:56
store
29:56
and
29:57
we'll
29:57
ship
29:57
it
29:57
to
29:57
you
29:57
next
29:57
day.
29:58
Right.
29:58
So
29:58
I
29:59
think
29:59
there's
29:59
places
29:59
where
29:59
you
30:00
can
30:00
have
30:00
that
30:00
compromise.
30:01
But,
30:01
but
30:02
yeah,
30:02
there's
30:02
going
30:02
to
30:02
be
30:03
things
30:03
that
30:03
you
30:03
need
30:03
to
30:03
touch
30:04
and
30:04
you
30:04
need
30:04
to,
30:05
you
30:05
know,
30:05
swatch
30:05
in
30:06
the
30:06
inside
30:06
of
30:06
your
30:06
wrist
30:07
to
30:07
see
30:07
if
30:07
it
30:07
looks
30:08
good
30:08
or
30:08
not.
30:09
So
30:09
something
30:09
that
30:10
comes
30:10
to
30:10
my
30:10
mind
30:10
is
30:11
an
30:11
area
30:11
that
30:12
I
30:12
think
30:12
we
30:12
under
30:13
emphasize
30:14
in,
30:14
in
30:14
the
30:15
retail
30:15
and
30:15
fashion
30:16
space
30:16
is
30:16
the
30:16
importance
30:17
of
30:17
planning.
30:18
Because
30:19
what
30:19
you're
30:19
talking
30:19
about
30:20
is,
30:20
is
30:20
the
30:20
inventory
30:21
at
30:21
the
30:21
right
30:21
place
30:22
at
30:22
the
30:22
right
30:22
time
30:23
and
30:23
really
30:24
how
30:24
the
30:24
planning
30:25
organizations
30:26
are
30:26
really
30:26
going
30:26
to
30:26
think
30:26
about
30:27
end
30:27
to
30:27
end
30:28
and
30:28
be
30:28
able
30:28
to
30:28
hit
30:29
on
30:29
multiple
30:30
experiences.
30:30
So
30:31
I
30:31
think
30:31
it's
30:32
a
30:32
watch
30:32
out
30:32
for
30:33
retailers
30:33
because
30:34
I
30:34
don't
30:34
think
30:35
we
30:35
put
30:35
enough
30:35
emphasis
30:36
into
30:36
that
30:37
either
30:37
from
30:38
a
30:38
people
30:38
priority
30:39
or
30:39
tools.
30:40
And
30:40
that's
30:40
the
30:41
one
30:41
thing
30:41
as
30:41
soon
30:41
as
30:41
you
30:41
asked
30:42
Manola
30:42
the
30:42
question
30:43
that
30:43
came
30:43
to
30:43
my
30:43
mind
30:45
because
30:45
I'm
30:45
super
30:45
passionate
30:46
about
30:46
it
30:46
because
30:46
you
30:46
know,
30:47
I
30:47
used
30:47
to
30:47
think
30:47
the
30:47
merchant
30:48
was
30:48
the
30:48
most
30:48
important
30:48
role
30:49
and
30:49
Now,
30:49
I,
30:49
I
30:50
sometimes
30:50
say
30:51
planning.
30:51
I
30:52
do
30:52
say
30:53
it's
30:53
a
30:53
central
30:53
nervous
30:54
system
30:54
of
30:54
the
30:54
company
30:55
and
30:55
everything
30:56
has
30:56
to
30:56
run
30:56
off
30:57
of
30:57
that
30:57
engine.
30:58
And
30:58
I
30:58
think
30:59
it's
30:59
going
30:59
to
30:59
need
30:59
to
30:59
be
30:59
prioritized
31:00
when
31:00
we
31:01
think
31:01
about
31:01
all
31:01
the
31:01
things
31:02
we
31:02
talked
31:02
about
31:02
today,
31:03
where
31:03
AI
31:03
is
31:04
going
31:04
to
31:04
play
31:04
a
31:04
role,
31:05
because
31:05
it
31:06
really
31:06
is
31:06
right
31:06
product,
31:07
right
31:07
place,
31:07
right
31:08
time,
31:08
and
31:08
how
31:08
do
31:08
you
31:08
get
31:09
it
31:09
there?
31:09
All
31:09
right.
31:10
Well,
31:10
let's
31:10
bring
31:10
on
31:10
Mary
31:10
Beth
31:11
Hayes
31:11
to
31:11
talk
31:11
about
31:11
what
31:12
retailers
31:12
can
31:12
do
31:13
now,
31:13
today
31:14
to
31:14
evolve
31:14
their
31:15
merchandising.
31:23
Joining
31:23
us
31:24
now
31:24
for
31:24
five
31:24
insightful
31:25
minutes
31:25
is
31:25
Mary
31:25
Beth
31:26
Hayes.
31:26
Mary
31:27
Beth
31:27
is
31:27
a
31:27
former
31:28
Walmart
31:28
merchant
31:28
executive,
31:29
a
31:29
trusted
31:30
board
31:30
member,
31:30
and
31:31
now
31:31
a
31:31
colleague
31:32
of
31:32
Ann's
31:32
and
31:32
mine
31:33
at
31:33
Simbi.
31:33
And
31:34
she
31:34
is
31:34
here
31:34
to
31:34
discuss
31:35
the
31:35
ongoing
31:35
evolution
31:36
of
31:36
merchandising,
31:37
a
31:37
subject
31:37
you
31:38
all
31:38
know
31:38
is
31:39
near
31:39
and
31:39
dear
31:39
to
31:39
our
31:39
hearts
31:40
here
31:40
at
31:40
OmniTalk.
31:41
Mary
31:41
Beth,
31:41
welcome
31:41
to
31:42
OmniTalk.
31:42
Let's
31:42
get,
31:42
get
31:43
started
31:43
with
31:43
this.
31:44
What
31:44
is
31:44
different
31:44
about
31:45
merchandising
31:45
now
31:46
relative
31:46
to
31:47
even
31:47
five
31:47
years
31:48
ago?
31:48
My
31:48
favorite
31:49
topic,
31:49
merchandising.
31:50
One
31:50
major
31:51
change
31:51
that
31:51
I've
31:52
seen
31:52
is
31:52
that
31:52
merchants
31:53
now
31:53
have
31:53
responsibility
31:55
for
31:55
both
31:56
in
31:56
store
31:57
and
31:57
for
31:57
the
31:58
online
31:58
assortment
31:59
instead
31:59
of
31:59
having
31:59
two
32:00
organizations.
32:01
This
32:01
is
32:02
such
32:03
a
32:03
relief
32:03
for
32:03
suppliers
32:04
I
32:04
work
32:04
with
32:04
a
32:04
lot
32:05
now
32:06
who
32:06
are
32:06
often
32:06
caught
32:07
between
32:07
two
32:07
merchants.
32:08
It's
32:08
better
32:08
for
32:08
the
32:08
customer
32:09
because
32:09
the,
32:10
the
32:10
product
32:11
assortment
32:11
itself
32:12
hangs
32:13
together
32:13
better.
32:14
Right.
32:14
And
32:14
it's
32:15
certainly
32:15
better
32:15
for
32:15
the
32:15
merchants
32:16
because
32:16
they
32:16
can
32:17
gain
32:17
an
32:17
even
32:17
deeper
32:18
understanding
32:19
of
32:19
customers
32:20
and
32:20
purchase
32:20
behavior.
32:21
Not
32:21
to
32:22
mean
32:22
that
32:22
it's
32:22
easier
32:23
because
32:23
Zeni
32:24
merchant
32:24
will
32:24
tell
32:24
you
32:25
a
32:25
hit
32:25
online
32:25
may
32:26
not
32:26
transfer
32:26
in
32:27
store
32:27
and
32:28
vice
32:28
versa.
32:29
Well,
32:29
Mary
32:30
Beth,
32:30
as
32:30
merchandising
32:31
teams
32:31
are
32:31
trying
32:32
to
32:32
kind
32:32
of
32:32
stay
32:32
on
32:32
the
32:33
cutting
32:33
edge,
32:34
how
32:34
would
32:34
you
32:34
recommend
32:35
that
32:35
they
32:36
kind
32:36
of
32:36
try
32:36
to
32:36
capitalize
32:37
on
32:37
this
32:38
new
32:38
way
32:38
of
32:38
working?
32:39
The
32:39
new
32:39
way
32:39
of
32:40
working
32:40
with
32:40
having
32:41
responsibility
32:41
for
32:43
online
32:43
and
32:44
in
32:44
store
32:44
typically
32:45
comes
32:45
when
32:45
that
32:46
change
32:46
is
32:46
made
32:46
with
32:46
a
32:47
narrower
32:47
product
32:48
responsibility.
32:50
So
32:50
this
32:50
should
32:51
allow
32:51
the
32:51
merchants
32:51
to
32:52
truly
32:52
become
32:53
experts
32:53
in
32:54
the
32:54
product,
32:54
everything
32:55
about
32:55
that
32:55
product
32:56
category
32:56
from
32:57
the
32:57
brands,
32:58
the
32:58
need
32:58
for
32:59
a
32:59
private
32:59
label,
33:01
what
33:01
most
33:01
matters
33:02
to
33:02
customers.
33:02
And
33:03
they
33:03
can
33:03
really
33:03
become
33:04
technical
33:04
experts
33:06
in
33:06
the
33:06
category
33:07
and
33:07
partners
33:07
to
33:08
suppliers
33:08
and
33:08
bringing
33:09
new
33:09
products
33:09
to
33:09
market.
33:10
And
33:10
Mary
33:10
Beth,
33:11
I
33:11
imagine
33:11
this
33:11
comes
33:12
with
33:12
even
33:12
more
33:13
data
33:13
now
33:13
than,
33:14
than
33:14
ever
33:14
before.
33:14
They
33:15
were
33:15
already
33:15
getting
33:16
inundated.
33:16
But
33:17
how
33:17
do
33:17
you
33:17
recommend
33:18
that
33:18
now
33:18
with
33:19
a
33:19
narrower
33:19
product
33:20
focus
33:20
that
33:20
they,
33:21
they
33:21
use
33:21
the
33:22
data
33:22
that
33:22
they're
33:23
getting
33:23
to
33:23
be
33:24
successful?
33:24
There's
33:25
always
33:25
been
33:26
in
33:26
my
33:26
mind
33:27
two
33:28
issues
33:29
with
33:29
data.
33:29
And
33:30
one
33:30
is
33:30
can
33:31
you
33:31
trust
33:31
it?
33:32
And
33:33
two
33:33
is
33:34
that
33:34
for
33:35
so
33:35
long,
33:35
I
33:36
mean,
33:36
hundreds
33:36
of
33:36
years
33:36
of
33:37
organized
33:37
retail,
33:38
it's
33:39
always
33:39
been
33:39
backwards
33:40
looking.
33:40
Right,
33:41
Right.
33:41
So
33:42
now
33:43
that
33:45
there
33:45
are
33:45
technologies
33:46
rather
33:46
that
33:47
are
33:47
being
33:47
deployed,
33:47
such
33:48
as
33:49
digital
33:49
shelf
33:49
labels,
33:50
RFID
33:51
and
33:51
certainly
33:52
SIMBIS
33:52
tally
33:53
that
33:53
we
33:53
get
33:53
to
33:54
collaborate
33:54
on,
33:55
we're
33:55
finally
33:56
entering
33:56
an
33:56
era
33:56
where
33:57
the
33:57
data
33:57
can
33:57
be
33:57
trusted.
33:58
Right.
33:58
So
33:58
we
33:58
can
33:59
eliminate
33:59
that
33:59
pain
34:00
point.
34:01
And
34:01
since
34:01
it
34:02
can
34:02
be
34:02
trusted,
34:03
we
34:03
can
34:03
now
34:04
turn
34:04
to
34:04
AI
34:05
to
34:05
mine
34:05
that
34:05
data
34:06
for
34:06
trends
34:06
that
34:07
no
34:07
human's
34:07
going
34:07
to
34:07
see.
34:08
And,
34:08
and
34:08
like
34:09
here's,
34:09
here's
34:10
my
34:10
favorite
34:10
story.
34:11
If
34:11
we
34:12
had
34:12
had
34:12
this
34:12
technology
34:13
way
34:13
back
34:13
when,
34:14
this
34:14
would
34:14
be
34:14
different.
34:15
Story
34:15
of
34:16
Blue
34:16
Moon
34:16
Beer,
34:16
which
34:17
we
34:17
always
34:18
enjoy
34:18
with
34:18
an
34:18
orange
34:19
slice.
34:19
Yeah,
34:20
well,
34:20
when
34:20
that
34:21
beer
34:21
came
34:21
out
34:21
like
34:22
that,
34:22
what
34:22
the
34:22
orange
34:23
slice
34:23
wasn't
34:23
a
34:23
thing
34:24
yet.
34:24
And
34:25
the
34:26
retailer
34:26
that
34:26
I
34:27
was
34:27
with,
34:27
like
34:28
some
34:28
really,
34:29
really
34:30
smart
34:30
store
34:30
manager
34:32
observed
34:32
that
34:33
in
34:33
his
34:33
or
34:33
her
34:33
community,
34:34
came
34:34
back
34:35
to
34:35
the
34:35
store,
34:36
did
34:36
a,
34:36
you
34:37
know,
34:37
pallets
34:38
of
34:38
the
34:38
product
34:38
together
34:39
and
34:39
it
34:39
was
34:39
a
34:39
hit
34:40
that
34:40
went
34:40
up
34:40
through
34:40
the
34:41
district.
34:41
And
34:41
then
34:42
finally,
34:42
you
34:43
know,
34:44
nationally,
34:45
we
34:46
were
34:46
asking
34:46
the
34:46
stores,
34:47
please
34:47
do
34:47
that.
34:48
Right.
34:48
Where
34:48
your
34:49
liquor
34:49
laws,
34:49
you
34:50
know,
34:50
make
34:50
that,
34:50
allow
34:50
that.
34:51
But
34:51
think
34:51
about
34:51
that.
34:52
That's
34:53
oranges
34:53
are
34:53
in
34:54
produce.
34:54
And
34:54
then
34:54
of
34:54
course
34:55
you've
34:55
got
34:55
the
34:55
adult
34:56
beverage
34:56
buyer.
34:57
They're
34:57
never
34:57
going
34:57
to
34:58
see
34:58
that
34:59
connection.
35:00
So
35:00
it
35:01
feels
35:01
to
35:01
me
35:01
like
35:01
AI
35:02
and
35:03
shelf
35:03
intelligence
35:04
is
35:04
just
35:04
bringing
35:05
us
35:05
out
35:05
of
35:05
like
35:06
the
35:06
merchandising
35:06
equivalent
35:07
of
35:07
smoke
35:08
signals,
35:08
you
35:09
know,
35:09
from,
35:09
from
35:10
each
35:10
retail
35:11
store.
35:11
Yeah,
35:12
the
35:12
vodka
35:12
buyer
35:12
might
35:12
be
35:13
talking
35:13
to
35:13
the
35:13
olive
35:13
buyer,
35:14
but
35:14
the
35:14
beer
35:14
buyer
35:14
is
35:14
definitely
35:15
not
35:15
talking
35:15
to
35:15
the
35:15
orange
35:16
buyer.
35:16
That's
35:16
for
35:16
sure.
35:17
Right.
35:18
Yeah.
35:18
But
35:18
the
35:18
other
35:19
point
35:19
that
35:19
raises
35:19
too,
35:20
which
35:20
I
35:20
think
35:20
is
35:20
also
35:21
important
35:21
to
35:21
think
35:21
about,
35:21
you
35:22
know,
35:22
as
35:22
you
35:22
take
35:22
that
35:22
up
35:23
a
35:23
level,
35:23
take
35:23
it
35:23
up
35:24
to
35:24
say
35:24
the
35:24
chief
35:24
merchant
35:25
level,
35:25
which
35:25
is
35:25
what
35:25
you
35:26
were
35:26
in
35:26
your
35:26
previous,
35:27
you
35:27
know,
35:27
and
35:28
previously
35:28
in
35:28
your
35:28
career,
35:29
like
35:30
there
35:30
starts
35:31
to
35:31
become
35:31
some
35:31
territorial
35:32
overlap
35:33
between
35:33
the
35:33
opera
35:34
people
35:34
that
35:34
own
35:34
the
35:34
operation.
35:35
So
35:35
let's,
35:35
let's
35:36
say,
35:36
say
35:36
for
35:36
sake
35:37
of
35:37
argument,
35:37
the
35:37
CEO
35:38
side
35:38
of
35:38
the
35:38
organization
35:39
and
35:39
the
35:39
chief
35:39
merchant
35:40
side
35:40
of
35:40
the
35:40
organization.
35:41
What
35:42
advice
35:42
do
35:42
you
35:42
have
35:43
for
35:43
navigating
35:44
that
35:44
blurring
35:45
of
35:45
lines,
35:45
so
35:46
to
35:46
speak?
35:46
You
35:46
know,
35:46
the
35:47
relationship
35:47
between
35:48
operators
35:49
and
35:49
merchants,
35:50
I
35:51
think
35:51
it's
35:51
like
35:51
cats
35:52
and
35:52
dogs,
35:52
like
35:53
since
35:53
the
35:53
beginning
35:53
of
35:53
time,
35:54
like,
35:54
it's,
35:54
it's
35:55
full
35:55
of
35:55
friction.
35:56
But
35:57
a
35:57
lot
35:57
of
35:57
that
35:57
friction
35:58
is
35:58
really
35:58
productive.
35:59
You
35:59
know,
36:00
operator
36:00
Ally
36:00
is
36:01
going
36:01
to
36:01
be
36:01
the
36:01
first
36:01
one
36:01
to
36:02
tell
36:02
you
36:02
when
36:02
like
36:02
this
36:03
set
36:03
isn't
36:03
working
36:03
or
36:04
you're
36:04
missing
36:04
something.
36:06
The
36:06
packaging
36:07
is
36:07
just,
36:08
it's
36:08
horrible.
36:09
It's
36:09
not
36:10
good
36:10
for
36:10
the
36:10
stores.
36:10
Right.
36:12
And
36:12
then
36:12
the
36:12
merchants
36:13
are
36:13
always
36:13
just,
36:13
they
36:14
just
36:14
want
36:14
to
36:14
see
36:14
their
36:14
set
36:15
executed
36:16
and
36:16
you
36:16
know,
36:16
and
36:16
the
36:17
sales
36:17
happen
36:17
and
36:18
they
36:18
want
36:18
their
36:18
inventories
36:19
like
36:19
always
36:19
corrected
36:20
and
36:20
adjusted.
36:21
But
36:21
then
36:21
the
36:21
poor
36:22
operator
36:22
takes
36:23
that
36:23
adjustment.
36:23
It
36:24
can
36:24
look
36:24
like
36:24
shrink,
36:25
right?
36:25
It
36:25
looks
36:25
like
36:25
their
36:26
shrinks
36:26
out
36:26
of
36:26
control.
36:28
So
36:29
the
36:29
endless
36:29
quibbling
36:30
over
36:31
good
36:31
faith
36:32
receiving
36:32
execution
36:33
and
36:33
inventory
36:34
levels
36:34
is
36:34
just,
36:34
just,
36:35
it's
36:35
just
36:36
unproductive.
36:37
Right.
36:38
So
36:38
just
36:38
like
36:39
you
36:39
know
36:39
I
36:39
mentioned
36:40
earlier,
36:40
we're
36:40
over
36:40
the
36:41
debate
36:41
about
36:42
online
36:42
business
36:43
killing
36:43
the
36:44
stores
36:46
shelf
36:47
intelligence
36:48
like,
36:49
like
36:49
Simbi
36:50
and,
36:50
and,
36:50
and
36:51
our
36:51
friend
36:51
Tally
36:52
is
36:52
going
36:52
to
36:52
move
36:52
the
36:52
industry
36:52
past
36:53
that
36:53
squabbling
36:54
and
36:54
providing
36:55
helping
36:56
the
36:56
operators
36:57
and
36:57
the
36:57
merchants
36:58
and
36:58
supply
36:58
chain
36:59
provide
36:59
what
37:00
the
37:00
customer
37:00
needs
37:00
and
37:01
when
37:01
they
37:01
need
37:01
it.
37:02
So
37:02
my
37:02
advice
37:03
to
37:03
retail
37:04
executives
37:05
in
37:05
this
37:05
day
37:07
that
37:07
when
37:07
you
37:07
deploy
37:08
technology
37:09
like
37:09
Simbi
37:10
and
37:10
Tally,
37:12
please
37:12
do
37:13
that
37:13
but
37:13
cross
37:14
functionally.
37:15
It's
37:15
an
37:16
enterprise
37:16
level
37:17
project
37:18
that
37:19
will
37:20
maximize
37:20
the
37:21
investment
37:22
when
37:22
it
37:22
has
37:23
executive
37:23
sponsorship
37:24
from
37:24
the
37:24
chief
37:25
merchant,
37:25
the
37:26
chief
37:26
operator
37:27
and
37:27
the
37:27
head
37:27
of
37:27
supply
37:28
chain
37:29
to
37:29
maximize
37:30
the
37:30
investment
37:30
and
37:31
utilize
37:31
the
37:32
data
37:32
and
37:32
take
37:33
advantage
37:33
of
37:33
the
37:33
whole
37:34
suite
37:34
of
37:34
products
37:35
that
37:35
are
37:35
available
37:35
now.
37:36
So
37:36
welcome
37:37
to
37:37
the
37:37
future.
37:38
Well,
37:38
thanks
37:38
Mary
37:39
Beth,
37:39
that
37:39
was
37:39
great.
37:39
Thank
37:40
you.
37:40
Thank
37:40
you
37:40
so
37:40
much.
37:45
Okay.
37:45
Headline
37:46
number
37:46
four.
37:46
Wayfair's
37:47
luxury
37:47
brand
37:48
Paragould
37:49
is
37:49
going
37:50
big
37:50
in
37:50
Florida
37:51
with
37:51
its
37:51
new
37:51
store
37:52
debut.
37:53
Wayfair
37:53
has
37:54
opened
37:54
its
37:54
second
37:55
Paragould
37:55
Banner
37:56
Store,
37:56
a
37:56
nearly
37:57
30,000
37:57
square
37:58
foot
37:58
two
37:59
level
37:59
location
37:59
at
38:00
City
38:00
Place
38:01
in
38:01
West
38:01
Palm
38:02
Beach,
38:02
Florida.
38:02
I
38:02
know.
38:03
Oh,
38:03
that's
38:03
Ann's
38:04
favorite
38:04
vacation
38:05
spot
38:05
in
38:05
Florida.
38:06
The
38:06
opening
38:06
follows
38:07
the
38:07
luxury
38:07
brand's
38:08
brick
38:08
and
38:08
mortar
38:08
debut
38:09
earlier
38:09
this
38:09
year
38:09
in
38:10
Houston.
38:10
And
38:10
it
38:11
also
38:11
comes
38:11
as
38:11
Wayfair
38:12
is
38:12
expanding
38:12
its
38:13
namesake
38:13
brand
38:13
with
38:14
a
38:14
large
38:14
format
38:15
concept.
38:15
The
38:16
store
38:16
houses
38:16
More
38:16
than
38:17
150
38:18
luxury
38:18
home
38:19
brands
38:19
across
38:19
furniture,
38:20
decor
38:20
and
38:20
lighting,
38:21
with
38:21
many
38:21
products
38:22
available
38:22
to
38:22
take
38:22
home
38:23
or
38:23
ship
38:23
within
38:23
a
38:23
week.
38:24
Also
38:24
unique
38:25
to
38:25
the
38:25
West
38:25
Palm
38:26
beach
38:26
store
38:26
is
38:26
a
38:26
dedicated
38:27
sleep
38:28
center
38:28
where
38:28
customers
38:29
can
38:29
explore
38:29
premier
38:30
bedding
38:30
in
38:30
a
38:30
boutique
38:31
like
38:31
setting
38:31
Setting.
38:32
The
38:32
store
38:32
also
38:32
offers
38:33
an
38:33
expanded
38:33
assortment
38:34
of
38:34
kitchen
38:34
appliances,
38:35
offering
38:35
shoppers
38:36
the
38:36
chance
38:36
to
38:36
experience
38:36
luxury
38:37
kitchen
38:37
Design
38:38
solutions
38:39
firsthand.
38:40
Manola
38:41
3,000sq
38:42
ft
38:42
for
38:42
a
38:42
new
38:43
Wayfair
38:43
Paragould
38:44
store
38:44
is
38:44
pretty
38:45
darn
38:45
big.
38:46
Would
38:47
you
38:47
have
38:47
greenlit
38:48
this
38:48
idea?
38:48
I
38:49
mean,
38:49
you
38:49
know
38:50
my,
38:50
my
38:50
first
38:51
reaction
38:51
when
38:51
I
38:52
saw
38:52
that,
38:52
I
38:52
was
38:52
like,
38:52
ooh,
38:53
I
38:53
want
38:53
to
38:53
go
38:54
there.
38:54
And
38:54
then
38:55
my
38:55
kind
38:55
of
38:55
business
38:56
hat
38:56
came
38:57
on.
38:57
I
38:57
was
38:57
like,
38:57
there's
38:57
no
38:57
way
38:57
that
38:58
that's
38:58
profitable
38:59
on
38:59
like
38:59
a
38:59
four.
39:00
Really?
39:02
That
39:02
was
39:02
my
39:02
gut
39:03
reaction
39:03
right
39:04
yeah,
39:04
you
39:05
know,
39:05
I
39:05
think
39:05
there's
39:05
a
39:06
couple
39:06
interesting
39:06
things,
39:07
right?
39:07
It's
39:07
kind
39:07
of,
39:08
we've
39:08
seen
39:08
other
39:09
players
39:09
in
39:09
kind
39:10
of
39:10
that
39:10
luxury
39:10
space,
39:11
you
39:11
know,
39:11
Restoration
39:12
Hardware
39:12
build
39:12
these
39:13
kind
39:13
of
39:13
mega
39:14
flagships,
39:15
you
39:16
know,
39:16
very
39:16
high
39:16
end
39:17
finishes,
39:18
very
39:18
expensive
39:18
real
39:19
estate.
39:19
Big,
39:19
big
39:21
moments.
39:21
I,
39:21
I
39:22
think
39:22
it's
39:22
a
39:22
brand
39:22
building
39:24
exercise
39:25
in
39:25
some
39:25
sense.
39:26
But
39:26
the
39:26
other
39:26
thing
39:26
that
39:26
caught
39:27
my
39:27
attention
39:27
is
39:28
when
39:28
they
39:28
get
39:29
to
39:29
talking
39:29
a
39:29
little
39:29
bit
39:30
about
39:30
the,
39:30
you
39:30
know,
39:30
there's
39:31
product
39:31
that
39:31
you
39:31
can
39:31
take
39:32
home.
39:33
That
39:33
day
39:34
I
39:34
was
39:34
like,
39:34
oh,
39:34
maybe
39:34
it's
39:35
like
39:35
a
39:35
lux
39:35
IKEA
39:36
situation,
39:37
right,
39:37
where
39:38
they're
39:38
monetizing
39:39
the,
39:39
the
39:39
experience
39:40
a
39:40
bit
39:40
more.
39:42
And
39:42
I
39:42
think
39:42
another
39:43
thing
39:43
that
39:43
was
39:43
interesting
39:44
is,
39:44
you
39:44
know,
39:44
they're
39:45
saying
39:45
a
39:45
lot
39:45
of
39:45
the
39:45
inventory
39:46
being
39:46
available,
39:46
you
39:47
know,
39:47
a
39:47
week
39:48
out,
39:48
that's
39:49
remarkable.
39:49
Honestly,
39:50
if
39:50
you
39:50
try
39:50
to
39:50
buy
39:51
furniture
39:51
anywhere
39:52
else,
39:52
you
39:52
know,
39:52
high
39:52
end,
39:53
lower
39:53
end,
39:53
and
39:54
it
39:55
can
39:55
be
39:55
months,
39:55
right?
39:56
And
39:56
then
39:57
you're
39:57
sitting,
39:57
you
39:58
don't
39:58
have
39:58
a
39:58
sofa,
39:59
you
39:59
know,
39:59
you're
40:00
sitting
40:00
on
40:00
the,
40:00
on
40:01
the
40:01
ground
40:01
for
40:01
a
40:01
long
40:02
time.
40:02
So
40:02
I.
40:04
First,
40:04
I
40:04
want
40:04
to
40:05
go
40:05
check
40:05
it
40:05
out.
40:05
Second,
40:06
maybe
40:07
they
40:07
are,
40:07
you
40:08
know,
40:08
able
40:08
to
40:09
make
40:09
it
40:09
profitable
40:09
with
40:10
this
40:10
mix
40:10
of,
40:10
you
40:11
know,
40:11
in
40:12
stock
40:12
product
40:12
that
40:12
you
40:13
can
40:13
take
40:13
home
40:13
or
40:14
product
40:14
that
40:14
is
40:14
quick
40:15
turn
40:15
and
40:15
you
40:16
know,
40:16
people
40:16
are
40:16
shopping
40:16
and
40:17
needing
40:17
these
40:18
pieces
40:18
of
40:18
furniture
40:19
and,
40:19
and
40:19
you
40:19
know,
40:19
sometimes
40:20
it's
40:20
like,
40:20
if
40:20
I
40:20
can
40:20
get
40:21
it,
40:21
you'll
40:22
change
40:22
your
40:22
mind
40:22
and
40:23
buy
40:23
it
40:23
there.
40:24
Also
40:25
thought
40:25
the
40:25
sleep
40:25
was
40:26
interesting
40:26
because
40:26
we
40:27
had
40:27
seen
40:27
a
40:28
lot
40:28
of
40:28
kind
40:28
of
40:28
going
40:29
digital
40:30
for
40:30
the
40:30
sleep
40:31
category,
40:31
right.
40:31
With
40:31
all
40:31
these
40:32
kind
40:32
of
40:32
memory
40:32
foam
40:32
mattresses
40:33
and,
40:33
and
40:34
whatnot.
40:34
But
40:35
the
40:35
more
40:35
traditional
40:37
sleep
40:37
category
40:37
is
40:38
pretty
40:38
neglected,
40:38
right.
40:39
It's
40:39
hard
40:39
to.
40:39
There's
40:39
not
40:39
that
40:40
many
40:40
places
40:40
to
40:40
go
40:41
find
40:41
a
40:41
mattress
40:41
and
40:42
it's
40:42
a
40:42
big
40:42
ticket
40:42
item.
40:44
So
40:44
I,
40:45
I
40:45
think,
40:45
think,
40:45
you
40:46
know,
40:46
it.
40:47
Maybe
40:47
I
40:47
would
40:47
have
40:48
greenlit
40:48
it.
40:48
Yeah,
40:48
it's.
40:49
I
40:49
was,
40:49
yeah.
40:50
Okay,
40:50
sold
40:50
on
40:51
it.
40:51
Coming
40:51
back
40:52
around.
40:52
Coming
40:52
back
40:52
around.
40:53
Came
40:53
back
40:53
around.
40:54
Yeah,
40:54
you're
40:55
bringing
40:55
up
40:55
some
40:55
interesting
40:55
points
40:55
on
40:56
the
40:56
scale
40:56
side
40:56
of
40:56
things
40:56
too.
40:57
But
40:57
so
40:58
I'm
40:58
curious
40:58
because
40:58
you
40:58
mentioned
40:59
it.
40:59
When
40:59
you
40:59
first
40:59
looked
41:00
at
41:00
the
41:00
pictures
41:00
in
41:00
the
41:01
article,
41:01
did
41:01
you
41:01
immediately
41:02
think,
41:02
wow,
41:02
this
41:02
is
41:02
kind
41:03
of
41:03
like
41:03
R.H.
41:04
s
41:04
Restoration
41:05
Hardware.
41:05
Ask
41:06
in
41:06
terms
41:06
of
41:06
what
41:06
they're
41:06
going
41:06
for.
41:07
It
41:07
did
41:08
give
41:08
me
41:08
that,
41:09
that
41:09
sense
41:09
they
41:09
have
41:09
a
41:10
different
41:10
aesthetic,
41:11
but
41:11
it
41:11
has
41:11
that
41:12
kind
41:12
of
41:12
very
41:12
grand,
41:13
very.
41:13
You
41:14
know,
41:14
I
41:14
took
41:15
my
41:15
kids
41:15
to
41:15
the
41:15
RH
41:16
Store
41:16
here
41:16
in
41:16
the,
41:16
in
41:17
the
41:17
meat
41:17
packing
41:18
district,
41:18
and
41:19
they
41:19
were
41:19
like,
41:19
mommy,
41:20
what
41:20
is
41:20
this
41:20
museum?
41:21
You
41:21
know,
41:21
they're
41:21
like,
41:21
oh,
41:22
this
41:22
is
41:22
like
41:22
so
41:23
you
41:23
know,
41:23
grand
41:24
and
41:24
it
41:24
has
41:24
that
41:25
like
41:25
very
41:25
upscale
41:25
feel.
41:26
I
41:26
think
41:26
this
41:26
has,
41:27
you
41:27
know,
41:27
nods
41:28
to
41:28
that.
41:28
Right?
41:29
It
41:29
feels,
41:30
it
41:30
feels
41:31
grand.
41:32
Right,
41:32
right,
41:32
right.
41:32
Okay,
41:33
got
41:33
it.
41:33
And
41:33
did
41:34
you
41:34
feel
41:34
that
41:34
way
41:34
too?
41:34
And
41:34
what
41:35
was
41:35
your
41:35
take?
41:36
I,
41:37
I
41:37
keep
41:37
going
41:37
back
41:38
and
41:38
forth
41:38
on
41:38
this
41:38
one.
41:39
I
41:39
mean
41:39
I
41:40
feel
41:40
like,
41:40
like
41:40
on
41:41
one
41:41
hand
41:41
I
41:42
like
41:42
that
41:42
there
41:43
it.
41:43
This
41:43
is
41:44
really
41:44
bringing
41:44
a
41:44
marketplace
41:45
of
41:45
brands
41:46
together
41:47
in
41:47
one
41:47
store.
41:48
It's,
41:48
you
41:48
know,
41:49
it's
41:49
independent
41:49
retailers
41:50
like
41:50
Blue
41:50
Dot,
41:51
one
41:51
of
41:51
my
41:51
favorite
41:51
furniture
41:52
designers.
41:52
Like,
41:52
it's
41:53
giving
41:53
me
41:53
the
41:54
opportunity
41:54
to
41:54
see
41:55
a
41:55
vignette
41:56
in
41:56
a
41:56
furniture
41:56
store
41:56
that's
41:57
pulling
41:57
from
41:57
a
41:58
lot
41:58
of
41:58
smaller,
41:58
like
41:59
sometimes
41:59
D2C
42:00
brands
42:00
in
42:01
one
42:01
spot.
42:02
So
42:02
I
42:02
liked
42:03
that
42:03
component
42:03
of
42:03
it.
42:04
But
42:04
I
42:04
think
42:04
if
42:05
I
42:05
was
42:05
Wayfair,
42:06
I
42:06
think,
42:06
think
42:06
that
42:07
especially
42:07
in
42:08
West
42:08
Palm
42:08
beach,
42:09
like
42:09
you're
42:09
sitting
42:09
on
42:10
rows
42:10
and
42:11
rows
42:11
and
42:11
rows
42:11
of
42:12
high
42:12
end
42:12
luxury
42:13
furniture
42:13
stores
42:14
like
42:14
rh,
42:14
like
42:15
Manola's
42:15
talking
42:15
about.
42:16
I
42:16
almost
42:17
wonder
42:17
if
42:18
I
42:18
wouldn't
42:18
have
42:18
gone
42:19
with
42:19
a
42:19
more
42:20
cohesive
42:21
Wayfair
42:21
brand
42:22
strategy.
42:22
So
42:23
not
42:23
just
42:23
Paragould,
42:24
but
42:24
also
42:24
like
42:25
giving
42:26
people
42:26
the
42:26
opportunity
42:27
to
42:27
like
42:28
cross
42:28
categories
42:29
a
42:29
little
42:29
bit
42:29
more.
42:30
So
42:30
like
42:30
maybe
42:31
you
42:31
don't
42:31
need
42:31
a
42:32
$7,000
42:33
lamp,
42:33
lamp
42:34
next
42:34
to
42:34
your
42:34
$15,000
42:36
couch.
42:36
Like
42:36
could
42:36
you
42:37
have
42:37
a
42:37
lamp
42:37
from
42:38
another?
42:38
Like
42:38
could
42:39
you
42:39
use
42:39
this
42:39
as
42:39
a
42:40
real
42:40
opportunity
42:40
for
42:41
the
42:41
designers
42:41
at
42:41
Wayfair
42:42
to
42:42
like
42:42
create
42:43
a
42:43
room
42:43
that's
42:43
a
42:44
good
42:44
mix
42:44
of
42:44
high
42:44
and
42:45
low?
42:45
Because
42:45
I
42:45
think
42:45
that's
42:46
how
42:46
real
42:46
people
42:47
shop.
42:47
I
42:47
don't
42:47
think
42:48
that
42:48
most
42:49
people
42:49
are
42:49
going
42:50
into
42:50
RH
42:50
and
42:50
are
42:51
like,
42:51
buy
42:51
the
42:51
whole
42:51
room.
42:52
I'll,
42:52
you
42:52
know,
42:52
here's,
42:53
you
42:53
know,
42:54
hundreds
42:54
of
42:54
thousands
42:55
of
42:55
dollars.
42:55
So
42:56
I,
42:56
I
42:57
think
42:57
if
42:57
I
42:57
was
42:57
Wayfair,
42:58
I
42:58
think
42:58
the
42:59
more
42:59
differentiating
43:00
point
43:00
here
43:01
would
43:01
be
43:01
how
43:01
do
43:01
I
43:02
showcase
43:02
my
43:02
product,
43:03
product
43:03
in
43:03
a
43:03
luxury
43:05
street
43:05
environment
43:06
in
43:06
West
43:06
Palm
43:07
beach,
43:07
but
43:07
show
43:08
that
43:08
there's
43:08
like,
43:08
you
43:08
can
43:09
have
43:09
the
43:09
best
43:09
of
43:09
both
43:10
worlds.
43:10
You
43:10
can
43:10
have
43:10
a
43:10
low
43:11
end
43:11
and
43:11
a
43:11
high
43:12
end
43:12
in
43:12
the
43:12
same
43:12
room
43:13
and,
43:13
and
43:14
have
43:14
an
43:14
affordable,
43:15
very
43:15
beautiful
43:16
looking
43:16
room.
43:17
So
43:18
I,
43:18
I
43:18
think
43:18
I
43:19
would
43:19
have,
43:19
I
43:19
would
43:19
have
43:19
gone
43:20
beyond
43:20
just
43:20
the
43:21
one
43:21
brand.
43:22
Interesting.
43:23
See,
43:23
See,
43:23
I
43:24
think
43:24
from
43:24
a
43:24
merchandising
43:24
perspective,
43:25
what
43:25
you're
43:25
talking
43:25
about
43:25
is
43:25
really
43:26
hard
43:26
to
43:26
do.
43:26
It's
43:26
really
43:26
hard
43:27
to
43:27
show
43:27
luxury
43:28
alongside
43:28
value.
43:29
Value.
43:30
And
43:30
so
43:30
I
43:30
think
43:30
that
43:31
that's
43:31
a
43:31
tough
43:31
concept
43:32
to
43:33
me
43:33
and
43:33
I'm
43:33
curious
43:33
because
43:33
I
43:34
want
43:34
to
43:34
go
43:34
to
43:34
Lisa
43:34
too
43:34
and
43:34
see
43:34
if
43:34
we
43:35
continue
43:35
to
43:35
share
43:35
the
43:35
same
43:36
brain
43:36
here
43:36
on
43:36
this
43:37
podcast
43:37
and
43:38
a
43:38
numerous
43:38
podcast.
43:39
Now
43:39
at
43:39
this
43:39
point,
43:40
like,
43:40
to
43:40
me,
43:40
it
43:41
to
43:41
Me,
43:41
this
43:41
is
43:41
a
43:41
signal
43:42
that.
43:42
And
43:42
I
43:42
think
43:42
it's
43:42
a
43:42
good
43:43
signal
43:43
that
43:43
Wayfair
43:44
doesn't
43:44
know
43:45
what
43:45
its
43:45
identity
43:45
is
43:46
in
43:46
the
43:46
physical
43:46
world.
43:47
They've
43:47
got
43:47
the
43:48
big
43:48
play
43:48
against
43:48
ikea,
43:49
where
43:50
they're
43:50
seemingly
43:51
going
43:51
after
43:51
that,
43:51
they're
43:52
continuing
43:52
to
43:52
expand
43:52
it,
43:53
and
43:53
now
43:53
they've
43:53
got
43:53
this
43:54
play
43:54
in
43:54
the
43:54
territory
43:55
where
43:55
they're
43:55
like,
43:55
look,
43:56
it's
43:56
funny
43:56
that
43:57
to
43:57
me,
43:57
it's
43:57
funny
43:57
that
43:58
all
43:58
of
43:58
our
43:58
minds
43:58
went
43:58
to
43:58
Restoration
43:59
Hardware,
43:59
because
43:59
Restoration
44:00
Hardware,
44:00
there's
44:00
a
44:01
lot
44:01
of
44:01
margin
44:01
in
44:01
Restoration
44:02
Hardware
44:02
that
44:02
they
44:02
could
44:03
go
44:03
after.
44:04
It's
44:04
very
44:04
similar
44:05
to
44:05
any
44:05
of,
44:05
like,
44:05
the
44:06
mom
44:06
and
44:06
pop
44:06
furniture
44:07
stores
44:07
that
44:07
you
44:08
see
44:08
everywhere
44:08
else
44:08
that
44:09
play
44:09
in
44:09
the
44:09
luxury
44:09
space.
44:10
So
44:10
it's
44:10
not
44:10
really
44:10
that
44:10
differentiating.
44:11
Feels
44:12
like
44:12
they're
44:12
trying
44:12
to
44:12
take
44:12
a
44:12
little
44:12
bit
44:13
of
44:13
a
44:13
piece
44:13
of
44:13
the
44:13
williamsonoma
44:14
angle
44:14
here,
44:15
too,
44:15
with
44:15
the
44:15
appliance
44:16
side
44:16
of
44:16
things.
44:17
And
44:17
so,
44:17
like,
44:18
okay,
44:18
yep.
44:19
Could
44:19
it
44:19
work?
44:19
Could
44:19
you
44:20
grab
44:20
some
44:20
of
44:20
that
44:20
share
44:21
in
44:21
the
44:21
luxury
44:21
market?
44:22
Because
44:22
the
44:22
other
44:23
important
44:23
thing
44:23
here
44:23
that
44:24
they
44:24
can
44:24
do
44:24
better
44:24
than
44:25
anyone
44:25
is
44:26
they
44:26
have
44:26
the
44:26
national
44:26
scale
44:27
of
44:27
their
44:27
logistics
44:28
behind
44:28
them
44:29
to
44:29
get
44:29
the
44:29
product
44:29
to
44:30
them
44:30
quickly,
44:30
to
44:31
get
44:31
the
44:31
service
44:31
that
44:32
you
44:32
need
44:32
around,
44:33
like,
44:33
knowing
44:33
when
44:33
your
44:34
delivery
44:34
comes,
44:34
because
44:35
that's
44:35
a
44:35
big
44:35
pain
44:35
in
44:35
the
44:35
butt
44:36
when
44:36
it
44:36
comes
44:36
to
44:36
furniture.
44:37
So.
44:37
So
44:37
I
44:38
like
44:38
this
44:38
as
44:38
an
44:38
experiment.
44:39
And
44:39
who's
44:40
to
44:40
say,
44:40
in
44:40
the
44:40
long
44:40
run,
44:41
you
44:41
know,
44:41
does
44:41
the
44:42
large
44:42
store
44:42
IKEA
44:43
play
44:43
out
44:43
as
44:43
the
44:44
way
44:44
to
44:44
go?
44:44
Does
44:44
the
44:45
luxury
44:45
play
44:46
play
44:46
out
44:46
as
44:46
the
44:46
way
44:46
to
44:46
go?
44:46
Is
44:47
there
44:47
something
44:47
else
44:47
that
44:47
they
44:48
can
44:48
concept
44:48
or
44:48
come
44:48
up
44:49
with?
44:49
But
44:49
for
44:49
that
44:49
reason,
44:50
I'm
44:50
with
44:50
Manola.
44:50
I
44:50
think
44:51
ultimately
44:51
I
44:51
greenlight
44:52
this,
44:52
but.
44:52
But,
44:52
Lisa,
44:53
what
44:53
do
44:53
you
44:53
think?
44:53
My
44:54
first
44:54
reaction
44:55
was,
44:55
yes,
44:55
I'd
44:56
greenlight
44:56
it
44:57
only
44:57
as
44:57
a
44:58
test
44:58
and
44:58
learn,
44:59
which
44:59
I
44:59
think
44:59
a
45:00
little
45:00
bit,
45:00
Chris,
45:00
is
45:01
what
45:01
you're
45:01
saying
45:01
is,
45:01
what
45:02
do
45:02
I
45:02
get
45:02
from
45:03
this?
45:03
Exactly.
45:03
Right.
45:04
So
45:04
that
45:05
I
45:05
can
45:05
figure
45:06
out
45:06
what
45:06
the
45:06
next
45:07
expansion
45:07
play
45:07
is.
45:08
My
45:08
mind,
45:09
like
45:09
the
45:09
three
45:09
of
45:10
you
45:10
went
45:10
to.
45:12
RH
45:12
is
45:12
struggling
45:13
with
45:13
those
45:13
museums
45:14
financially.
45:15
Right.
45:15
So
45:16
they
45:16
better
45:16
take
45:16
a
45:16
chapter
45:17
in
45:17
learning
45:17
from
45:18
that,
45:19
thinking
45:19
about
45:19
the
45:20
locations
45:20
they
45:20
went
45:21
to.
45:21
Right.
45:22
As.
45:22
As
45:22
another
45:22
thought,
45:23
I
45:23
love
45:23
to
45:24
test
45:24
and
45:24
learn.
45:24
But.
45:25
And
45:25
what
45:25
I
45:25
will
45:25
say
45:26
what
45:26
I
45:27
did
45:27
jive
45:27
with.
45:28
With
45:28
what
45:28
you
45:28
said,
45:28
even
45:29
though
45:29
Chris
45:29
said
45:29
it
45:29
would
45:29
be
45:30
hard
45:30
to
45:30
do.
45:30
I
45:31
think
45:31
the
45:31
best
45:31
retailers,
45:32
from
45:32
a
45:32
merchandising
45:33
perspective,
45:34
if
45:34
they
45:34
could
45:34
figure
45:35
out
45:35
how
45:35
to
45:35
show
45:35
the
45:36
high
45:36
low,
45:37
could
45:37
be
45:37
a
45:37
huge
45:38
unlock.
45:39
Because
45:39
if
45:39
you.
45:39
There's
45:40
no
45:40
one
45:40
else
45:40
doing
45:40
it.
45:41
Yeah.
45:41
And
45:42
not
45:42
even
45:42
in
45:42
apparel.
45:43
Right.
45:43
In
45:43
a.
45:43
In
45:44
a
45:44
way
45:45
that
45:45
shows
45:45
up.
45:46
And
45:46
that
45:46
is
45:46
what
45:47
the
45:47
consumer
45:47
does
45:48
us.
45:49
And
45:49
I
45:49
think,
45:49
you
45:49
know,
45:49
we
45:50
go
45:50
back
45:50
to
45:50
our
45:50
conversation
45:51
about
45:51
the
45:51
high
45:51
street
45:52
is
45:52
how
45:52
do
45:52
you
45:53
blend
45:53
that?
45:53
Because
45:54
the
45:54
kids,
45:55
the
45:55
Gen
45:55
Z's
45:56
are
45:56
figuring
45:56
out
45:56
how
45:57
to
45:57
mix,
45:58
you
45:58
know,
45:58
kind
45:59
of
45:59
bargains
45:59
with
46:00
their
46:01
best
46:01
pieces,
46:02
especially
46:03
going
46:03
and
46:03
hitting
46:03
up
46:04
the
46:04
vintage
46:04
stores
46:04
and
46:05
things.
46:05
So
46:05
I
46:05
think
46:06
if
46:06
someone
46:06
can
46:07
figure
46:07
it
46:07
out
46:07
in
46:07
any
46:07
category,
46:09
I
46:09
think
46:09
it
46:10
could
46:10
be
46:10
quite
46:10
an
46:10
interesting
46:11
play
46:11
to
46:11
be
46:11
a
46:12
competitive
46:12
advantage
46:13
for
46:13
Wayfair
46:14
in
46:14
the,
46:14
in
46:14
the
46:14
furniture
46:15
space
46:15
because
46:15
while
46:16
they're
46:16
competing
46:16
with
46:16
Ikea,
46:17
but
46:17
now
46:17
they're
46:18
trying
46:18
the
46:18
luxury
46:18
high
46:19
end,
46:19
how
46:19
do
46:19
they
46:20
blend
46:20
it?
46:21
Right?
46:21
And
46:21
no
46:22
one
46:22
else
46:22
can
46:22
do
46:22
that
46:22
besides
46:23
Wayfair.
46:23
I
46:24
mean,
46:24
no
46:24
one
46:24
else
46:24
has
46:24
that
46:25
assortment
46:25
that
46:25
can,
46:26
that
46:26
can
46:26
offer
46:26
up,
46:27
you
46:27
know,
46:27
RH
46:28
won't.
46:29
IKEA
46:29
can't
46:30
go
46:30
up
46:30
market
46:30
like
46:31
that.
46:31
Like
46:31
it's,
46:32
they're
46:32
the
46:32
ones,
46:32
the
46:33
only
46:33
ones
46:33
who
46:33
can
46:33
do
46:33
it.
46:33
Right
46:34
now
46:34
it's
46:34
like
46:35
the
46:35
house
46:35
of
46:35
brands,
46:36
right?
46:36
I
46:36
love
46:36
that
46:36
idea
46:37
too.
46:38
Yes.
46:38
Well,
46:38
and
46:38
then
46:38
the
46:39
question
46:39
is,
46:39
do
46:39
you
46:39
invested
46:40
it
46:40
in
46:40
physical
46:41
stores
46:41
or
46:41
did
46:41
you
46:41
just
46:42
play
46:42
up
46:42
that
46:42
angle
46:42
online
46:42
too?
46:43
Right.
46:43
That's
46:43
the
46:43
other
46:44
$64,000
46:45
question
46:45
here,
46:45
which
46:45
I
46:46
don't
46:46
know
46:46
the
46:46
answer
46:46
to.
46:47
All
46:47
right,
46:47
let's
46:47
go
46:47
on
46:48
to
46:48
headline
46:48
number
46:48
five.
46:49
DoorDash
46:50
is
46:50
teaming
46:50
up
46:50
with
46:50
Waymo
46:51
in
46:51
its
46:52
latest
46:52
autonomous
46:53
delivery
46:54
pilot.
46:54
The
46:55
global
46:55
on
46:55
demand
46:55
delivery
46:56
platform
46:56
is
46:56
piloting
46:57
an
46:57
autonomous
46:58
delivery
46:58
service
46:58
in
46:58
the
46:59
Metro
46:59
Phoenix
46:59
area
47:00
with
47:00
Waymo,
47:01
the
47:01
Google
47:01
self
47:02
driving
47:02
vehicle
47:02
subsidiary.
47:03
Testing
47:04
of
47:04
the
47:04
service
47:05
in
47:05
Metro
47:05
Phoenix
47:05
is
47:06
now
47:06
underway
47:06
with
47:06
plans
47:07
to
47:07
launch
47:07
broader
47:08
commercial
47:08
applications
47:09
later
47:09
in
47:10
2025.
47:11
DoorDash
47:11
customers
47:12
in
47:12
the
47:12
area
47:12
may
47:13
be
47:13
matched
47:13
with
47:13
a
47:14
fully
47:14
autonomous
47:14
Waymo
47:15
vehicle
47:15
for
47:16
deliveries
47:16
from
47:16
particip
47:17
retailers.
47:18
The
47:18
service
47:19
will
47:19
begin
47:19
with
47:19
deliveries
47:20
from
47:20
dashmar,
47:21
Door
47:21
Dash's
47:21
owned
47:22
and
47:22
operated
47:22
convenience
47:23
grocery
47:23
and
47:23
retail
47:24
store
47:24
with
47:24
plans
47:25
to
47:25
expand
47:26
over
47:26
time.
47:27
Lisa,
47:27
back
47:28
to
47:28
you
47:28
here.
47:28
Do
47:29
you
47:29
think
47:29
autonomous
47:29
deliveries
47:30
from
47:30
DoorDash
47:30
via
47:31
Waymo
47:31
or
47:31
other
47:32
autonomous
47:32
modes
47:33
of
47:33
transportation
47:34
will
47:34
eventually
47:34
catch
47:35
on?
47:35
My
47:36
first
47:36
reaction
47:36
is
47:37
no,
47:37
because
47:37
if
47:38
I'm
47:38
paying
47:38
to
47:38
have
47:38
it
47:39
delivered,
47:39
I
47:39
want
47:39
it
47:40
handed
47:40
to
47:40
me.
47:42
Okay,
47:43
interesting.
47:45
You
47:45
know,
47:45
like
47:45
if
47:45
I'm
47:46
going
47:46
that
47:46
mile
47:47
to
47:47
say
47:47
I'm
47:48
going
47:48
to
47:48
pay
47:48
for
47:48
a
47:48
delivery,
47:49
I
47:49
want
47:49
you
47:50
to
47:50
hand
47:50
it
47:50
to
47:50
me
47:50
reliably.
47:51
I
47:51
don't
47:51
want
47:51
to
47:52
get
47:52
outside
47:52
and
47:53
go
47:53
down
47:53
to
47:53
the,
47:54
to
47:54
the
47:54
vehicle
47:55
and
47:55
pick
47:55
it
47:55
up.
47:55
That
47:56
was,
47:56
that
47:56
was
47:56
my
47:57
first
47:57
reaction.
47:57
That's
47:58
right.
47:58
It
47:58
doesn't
47:58
work
47:58
in
47:58
New
47:59
York.
47:59
No,
48:00
that
48:00
was
48:00
my
48:00
first
48:00
reaction.
48:01
I'm
48:01
going
48:01
to
48:01
stick
48:01
with
48:01
that
48:02
guy.
48:02
What
48:03
if
48:03
it
48:03
was
48:03
Slightly
48:04
less
48:04
expensive.
48:05
What
48:05
if
48:05
Instead
48:05
of
48:05
a
48:06
$10
48:06
delivery
48:07
fee,
48:07
it
48:07
was
48:07
$5
48:08
because
48:08
you
48:08
had
48:08
to
48:08
go
48:09
down
48:09
to
48:09
do
48:09
it?
48:09
Would
48:09
that
48:10
motive
48:10
motivate
48:10
you,
48:10
Lisa?
48:11
Might
48:11
motivate
48:12
me.
48:13
Okay,
48:14
okay.
48:14
Okay.
48:15
I
48:16
mean,
48:16
that
48:16
couch
48:16
is
48:17
comfy,
48:17
and
48:17
you're
48:18
all
48:18
like.
48:18
Like,
48:18
it's
48:19
very
48:19
nice
48:19
to
48:19
not
48:20
have
48:20
to
48:20
leave
48:20
the
48:21
confines
48:21
of
48:21
your
48:21
apartment
48:22
100%.
48:23
I
48:23
mean,
48:24
the
48:24
other
48:24
thing
48:24
is,
48:25
I
48:25
think
48:25
about
48:25
this
48:25
because
48:26
sometimes
48:26
I
48:26
could
48:27
just.
48:27
My
48:27
children
48:28
that
48:28
are
48:28
now
48:29
young
48:29
adults,
48:29
I'm
48:30
like,
48:30
can.
48:30
My
48:31
daughter
48:31
had
48:31
a
48:31
rude
48:32
awakening
48:32
when
48:32
she
48:33
looked
48:33
at
48:33
her
48:33
bills
48:34
because
48:34
of
48:35
how
48:35
much
48:35
she
48:35
had
48:36
delivered.
48:37
Like,
48:37
you
48:38
gotta
48:38
wake
48:38
up
48:38
and
48:38
get.
48:39
If
48:39
you're
48:39
gonna
48:39
get
48:39
off
48:39
the
48:40
couch,
48:40
you
48:40
might
48:40
as
48:40
well
48:40
go
48:41
to
48:41
the
48:41
location.
48:41
When
48:42
you
48:42
get
48:42
off
48:42
the
48:42
couch,
48:43
it's
48:43
better
48:43
walk
48:43
down
48:44
the
48:44
front
48:44
door
48:44
and
48:44
still
48:45
pay
48:45
for
48:45
delivery.
48:47
Right.
48:47
Manolo,
48:48
how
48:48
do
48:48
you
48:48
feel
48:49
about
48:49
this?
48:49
Do
48:49
you
48:49
think
48:50
that.
48:50
That
48:50
deliveries
48:51
via
48:51
autonomous
48:52
vehicles
48:52
will
48:53
take
48:53
off?
48:54
You
48:54
know,
48:54
I.
48:55
I
48:55
think
48:56
there's
48:56
a
48:56
lot
48:56
of
48:57
ifs
48:58
and
48:58
buts,
48:58
right.
48:58
There's
48:59
a
48:59
lot
48:59
of
48:59
exceptions
49:00
where
49:00
it
49:00
just
49:00
doesn't.
49:00
You
49:00
live
49:01
in
49:01
an
49:01
apartment
49:01
building
49:02
and
49:02
you
49:02
have
49:02
to
49:02
get
49:02
in
49:02
the
49:03
elevator.
49:03
It's
49:03
a
49:03
mess.
49:04
I
49:04
think
49:04
it
49:04
has
49:04
to
49:05
be
49:05
opt
49:05
in.
49:05
Right?
49:06
You
49:06
can't
49:06
be
49:07
just
49:07
like.
49:08
Like,
49:08
oh,
49:08
now
49:08
you're
49:08
assigned.
49:09
You
49:09
know,
49:11
I
49:11
had
49:11
an
49:12
experience
49:12
in.
49:12
I
49:13
live
49:13
in
49:13
Jersey
49:13
City,
49:14
and
49:14
we
49:14
don't
49:14
have.
49:14
It's
49:14
not
49:14
wayu.
49:15
But
49:15
it's
49:15
these
49:15
little.
49:15
I
49:16
don't
49:16
know,
49:16
the
49:16
brand
49:16
of
49:16
them.
49:16
They're.
49:17
They
49:17
look
49:17
like
49:17
coolers
49:18
and
49:18
they're
49:18
rolling
49:18
around,
49:19
and
49:19
they
49:19
do
49:19
Uber.
49:20
Uber
49:20
eats
49:20
delivery.
49:21
And
49:21
I
49:21
had
49:22
one
49:22
delivered
49:22
to
49:23
me
49:23
for
49:23
the
49:23
first
49:23
time,
49:25
and
49:25
it
49:25
can't
49:26
get
49:26
up
49:26
the
49:26
steps.
49:27
Right.
49:27
So
49:27
then
49:28
it
49:28
just
49:28
sat
49:28
in
49:29
the
49:29
sidewalk
49:29
kind
49:29
of.
49:30
Of
49:30
sadly
49:31
waiting
49:31
for
49:31
me.
49:32
And
49:32
then
49:32
I
49:32
went
49:32
and
49:33
got
49:33
everything
49:33
out.
49:34
And
49:34
then
49:34
even
49:34
after
49:35
I
49:35
took
49:35
stuff
49:35
out,
49:36
it
49:36
was
49:36
still
49:36
on
49:37
the
49:37
sidewalk,
49:37
kind
49:38
of
49:38
like.
49:38
I
49:38
guess
49:38
there's
49:39
a
49:39
lag.
49:39
And
49:40
it
49:40
was
49:40
blocking
49:40
the
49:40
sidewalk
49:41
for
49:41
a
49:41
really
49:41
long
49:41
time.
49:42
And
49:42
I
49:42
was
49:42
like,
49:42
well,
49:42
you
49:42
know,
49:43
a
49:43
person
49:43
would
49:43
have
49:44
been
49:44
in
49:44
and
49:44
out,
49:45
you
49:45
know?
49:46
Yeah.
49:46
I
49:46
don't
49:46
know.
49:47
It
49:47
feels.
49:49
It's
49:49
a
49:49
place
49:49
where.
49:49
I
49:49
don't.
49:50
I
49:50
don't
49:50
know
49:50
that
49:50
we
49:50
need
49:50
the
49:51
technology
49:51
put
49:51
in
49:52
that
49:52
particular
49:53
use.
49:54
But,
49:54
yeah,
49:55
I
49:55
don't
49:55
know.
49:56
Some
49:56
of
49:56
the
49:56
robots
49:56
are
49:56
cute.
49:57
I'll
49:57
give
49:57
them
49:57
that,
49:57
you
49:57
know?
49:58
Yes,
49:59
for
49:59
sure.
49:59
Cute.
50:00
I
50:00
know.
50:00
That
50:00
was
50:00
my
50:01
question
50:01
too.
50:01
Like,
50:02
the
50:02
doordash
50:02
element
50:03
makes
50:03
sense
50:03
because
50:04
it's
50:04
like.
50:04
It's
50:04
not
50:05
hot
50:05
and
50:05
ready
50:06
food,
50:06
but,
50:06
like,
50:06
if
50:07
you
50:07
start
50:07
to
50:07
introduce
50:07
hot
50:08
and
50:08
ready
50:08
food,
50:08
like
50:09
are
50:09
there
50:09
15
50:10
Waymos
50:10
in
50:11
the
50:11
parking
50:11
lot?
50:11
Like
50:12
just
50:12
waiting?
50:12
Like
50:12
how
50:13
do
50:13
you
50:13
as
50:13
a
50:13
food
50:14
service
50:14
provider
50:15
know
50:15
like
50:15
which
50:16
Waymo
50:16
is
50:16
this
50:17
going
50:17
to
50:17
and
50:18
you
50:18
know
50:18
like
50:18
that,
50:18
that
50:19
part
50:19
seems
50:19
like
50:20
that's
50:20
logistically
50:21
going
50:21
to
50:21
be
50:21
hard
50:21
to
50:22
tackle
50:23
from
50:23
just
50:23
you
50:23
know,
50:24
being
50:24
at
50:24
doordash,
50:24
pulling
50:25
up
50:25
to
50:25
their,
50:25
their
50:26
warehouse
50:27
and
50:27
you
50:27
know,
50:27
filling
50:27
the
50:27
cars
50:28
and
50:28
going.
50:28
But
50:29
Chris,
50:29
I
50:29
know
50:30
you're
50:30
a
50:30
big
50:30
fan
50:31
of
50:31
Waymo,
50:31
you've
50:31
tried
50:32
it
50:32
in
50:32
Phoenix
50:32
from
50:33
a
50:33
like
50:33
bringing
50:34
you
50:34
place
50:35
to
50:35
place.
50:35
But
50:35
where
50:35
do
50:35
you
50:36
land
50:36
on
50:37
the
50:37
delivery
50:38
side
50:38
of
50:38
things
50:38
here?
50:39
Yeah,
50:40
Lisa
50:40
brought
50:40
up
50:40
a
50:40
point
50:41
I
50:41
hadn't
50:41
thought
50:41
about
50:41
before
50:41
which
50:42
is
50:42
like
50:42
the
50:42
urban
50:42
versus
50:43
suburban
50:43
dynamics.
50:44
So
50:44
I
50:44
think
50:44
one
50:44
of
50:45
my
50:45
big
50:45
takeaways
50:45
from
50:46
this
50:46
is
50:46
if
50:46
it
50:46
happens
50:46
anywhere,
50:47
it's
50:47
going
50:47
to
50:47
happen
50:47
in
50:48
suburban
50:48
America
50:48
before
50:49
urban
50:49
America,
50:50
which
50:50
also
50:50
makes
50:50
sense
50:51
economically
50:51
because
50:51
deliveries,
50:52
delivery
50:53
is
50:53
actually
50:53
more
50:53
cost
50:53
efficient
50:54
in
50:54
large,
50:54
dense
50:55
urban
50:55
centers.
50:56
So
50:56
where
50:56
do
50:56
you
50:56
actually
50:56
need
50:57
this?
50:57
You
50:57
actually
50:57
need
50:57
this
50:57
in
50:58
suburban
50:58
America
50:59
more
50:59
so
50:59
to
50:59
lay
51:00
the,
51:00
to
51:00
defray
51:01
the
51:01
last
51:01
mile
51:02
delivery
51:02
costs.
51:03
So
51:04
but
51:04
with
51:04
that
51:05
said,
51:05
I
51:05
think
51:06
what
51:06
we're
51:06
seeing
51:06
here
51:07
is
51:07
the
51:07
evolution
51:07
of
51:08
the
51:08
experiment.
51:08
Right.
51:08
So
51:09
like
51:09
it's
51:09
not
51:09
surprising
51:10
me
51:10
they're
51:10
starting
51:10
with
51:11
dashmarts
51:11
number
51:11
one
51:12
because
51:12
a
51:12
dashmart
51:13
is
51:13
a
51:13
fence,
51:13
is
51:14
effectively
51:14
a
51:14
warehouse.
51:15
So
51:16
I
51:16
think
51:16
if
51:16
you're
51:16
doing
51:16
this
51:17
from
51:17
a
51:17
warehouse
51:17
or
51:18
even
51:18
a
51:18
cloud
51:18
kitchen,
51:18
that
51:19
makes
51:19
sense
51:19
right
51:19
now.
51:20
Now.
51:20
But
51:20
if
51:20
you
51:20
start
51:21
doing
51:21
it
51:21
for
51:21
like
51:21
restaurant
51:22
delivery,
51:22
full
51:23
on
51:23
restaurant
51:23
delivery
51:24
that
51:24
becomes
51:24
problematic
51:25
because
51:25
then
51:26
you
51:26
have
51:26
to
51:26
actually
51:26
staff
51:27
or
51:27
give
51:28
payroll
51:28
to
51:28
like
51:29
a
51:29
new
51:29
job
51:29
for
51:30
the
51:30
restaurant.
51:30
Like
51:30
whose
51:31
job
51:31
is
51:31
it
51:31
to
51:32
run
51:32
the
51:32
orders
51:32
out
51:32
to
51:33
the
51:33
Waymo,
51:33
you
51:34
know,
51:34
which
51:34
is
51:34
similar
51:34
to
51:34
what
51:34
Lisa
51:35
said,
51:35
like
51:35
whose
51:35
job
51:36
is
51:36
it
51:36
to
51:36
come
51:36
and
51:36
get
51:37
the
51:37
order
51:37
from
51:37
the
51:37
Waymo?
51:38
And
51:38
so
51:38
that's,
51:39
that's
51:39
going
51:39
to
51:39
be
51:40
expensive
51:40
and
51:40
that's
51:41
going
51:41
to
51:41
be
51:41
a
51:41
big
51:41
hurdle
51:42
for
51:42
the
51:42
restaurants
51:42
particularly
51:43
to
51:43
get
51:43
over
51:43
as
51:44
well
51:44
as
51:44
the
51:44
retailers
51:45
too
51:45
because
51:45
the
51:45
retailers
51:45
have
51:45
to
51:46
assign
51:46
that
51:46
job
51:46
as
51:46
well.
51:47
Well,
51:47
it's
51:47
also
51:48
why
51:48
I
51:48
just,
51:48
it's
51:48
funny
51:49
that
51:49
we're
51:49
talking
51:49
about
51:49
this
51:49
because
51:49
I
51:50
was
51:50
at
51:50
Chick
51:50
Fil
51:50
A
51:50
yesterday
51:51
and
51:51
I
51:51
ordered
51:52
on
51:52
their
51:52
app
51:53
and
51:53
I
51:53
usually
51:53
do
51:54
curbside
51:54
and
51:54
they
51:54
were
51:54
trying
51:55
to
51:55
incent
51:55
me
51:56
through
51:56
the
51:57
mobile
51:58
drive
51:58
through
51:59
lane
51:59
because
52:00
that.
52:00
And
52:00
it
52:00
may.
52:00
And
52:00
I
52:01
was
52:01
like
52:01
why
52:01
are
52:01
they
52:01
doing
52:01
that?
52:01
And
52:02
it
52:02
makes
52:02
sense
52:02
because
52:02
they
52:03
don't
52:03
have
52:03
to
52:03
send
52:03
the
52:04
runner
52:04
out
52:04
to
52:05
my
52:05
car.
52:05
I
52:06
go
52:06
to
52:06
them
52:06
and
52:07
so
52:07
that
52:07
those
52:08
are
52:08
some
52:08
of
52:08
the
52:08
elements
52:08
that
52:09
are
52:09
at
52:09
play
52:09
here.
52:09
But
52:10
I
52:10
think
52:10
ultimately
52:11
we
52:11
could
52:11
see
52:11
this,
52:12
because,
52:12
like
52:12
you
52:12
said,
52:13
if
52:13
you
52:13
want
52:13
to
52:13
opt
52:13
into
52:14
it,
52:14
which
52:14
I
52:15
think
52:15
I
52:15
kind
52:15
of
52:15
would.
52:16
I
52:16
kind
52:16
of
52:16
would
52:16
rather
52:16
have
52:17
my
52:17
delivery
52:17
brought
52:18
to
52:18
me
52:18
than
52:18
some
52:19
just
52:19
random
52:19
dude
52:19
who's
52:20
just
52:20
possibly
52:20
working
52:21
at
52:21
doordash
52:21
for,
52:22
you
52:22
know,
52:22
a
52:22
couple
52:22
days,
52:23
you
52:23
know,
52:23
for
52:23
the
52:24
first
52:24
time,
52:24
like,
52:25
and
52:25
then
52:25
it
52:25
could
52:25
evolve
52:26
to
52:26
the
52:26
point
52:26
where,
52:26
like,
52:27
you
52:27
know,
52:27
maybe
52:28
they.
52:28
It
52:28
can
52:28
do
52:28
more
52:28
than
52:29
one
52:29
delivery
52:29
at
52:29
a
52:29
time.
52:30
Like,
52:30
can
52:30
the
52:30
car
52:30
equipped.
52:31
Be
52:31
equipped
52:31
to
52:32
pick
52:32
up
52:32
from
52:32
various
52:32
different
52:33
points
52:33
and
52:33
then
52:33
scale
52:34
the
52:34
delivery
52:34
that
52:35
way?
52:35
So.
52:35
So
52:35
there's
52:36
a
52:36
lot
52:36
of
52:36
things
52:36
I
52:37
like
52:37
about
52:37
it.
52:37
So
52:38
I
52:38
do
52:38
think
52:38
it'll
52:38
eventually
52:39
come,
52:39
but,
52:39
yeah,
52:39
there's
52:40
still
52:40
a
52:40
lot
52:40
of
52:40
things
52:41
we
52:41
have
52:41
to
52:41
figure
52:41
out.
52:41
Out.
52:42
Yes.
52:43
All
52:43
right,
52:43
well,
52:43
let's
52:44
move
52:44
on
52:44
to
52:44
the
52:45
lightning
52:45
round
52:45
and
52:45
close
52:46
this
52:46
up.
52:46
Lisa,
52:47
you
52:47
get
52:47
the
52:47
first
52:47
question
52:47
here.
52:48
Apple
52:49
stock
52:49
soared
52:50
to
52:50
an
52:50
all
52:50
time
52:51
high
52:51
this
52:51
week,
52:51
which
52:51
is
52:52
being
52:52
attributed
52:52
to
52:53
the
52:53
success
52:53
of
52:53
the
52:54
iPhone
52:54
17.
52:56
I
52:56
have
52:56
to
52:56
know,
52:57
do
52:57
you
52:57
need
52:57
an
52:57
immediate
52:58
upgrade
52:58
every
52:59
time
52:59
the
52:59
October
53:00
Apple
53:00
announcement
53:01
comes
53:01
out,
53:02
or
53:02
are
53:02
you
53:02
still
53:03
happily
53:03
carrying
53:03
around
53:04
an
53:04
aged
53:05
out
53:05
version?
53:06
I
53:06
used
53:06
to
53:07
need
53:07
to
53:07
be
53:07
the
53:08
first
53:08
one
53:08
in,
53:09
but
53:09
I
53:09
would
53:10
say
53:10
over
53:10
the
53:10
last
53:11
couple
53:11
of
53:11
years,
53:12
I've
53:12
sat
53:12
back
53:12
and
53:13
waited
53:13
to
53:13
see
53:14
what's
53:15
new
53:15
in
53:15
the
53:15
tech,
53:15
how's
53:16
it
53:16
working,
53:16
work
53:17
out
53:17
the
53:17
kinks
53:17
and
53:18
the
53:18
upgrades
53:18
that
53:18
need
53:19
to
53:19
happen
53:19
in
53:19
the
53:19
beginning.
53:21
You
53:21
know,
53:21
I
53:21
think
53:21
they're
53:22
talking
53:22
about
53:22
one
53:23
of
53:23
the
53:23
reasons
53:23
it
53:24
actually
53:24
is
53:24
being
53:25
super
53:25
successful
53:26
is
53:26
people
53:27
aren't
53:27
upgrading
53:28
as
53:28
much
53:28
as
53:28
before.
53:30
And,
53:30
you
53:30
know,
53:31
quite
53:31
frankly,
53:31
I'm
53:31
very
53:32
happy
53:32
to
53:32
say
53:32
that
53:32
I
53:33
did
53:33
upgrade
53:33
last
53:34
year
53:34
and
53:34
they,
53:34
like,
53:34
the
53:34
16
53:35
and
53:35
17
53:35
are
53:36
not
53:36
that
53:36
different,
53:37
but
53:37
I
53:37
used
53:38
to
53:38
be.
53:38
Everything
53:39
new
53:39
that
53:39
came
53:39
out,
53:39
I
53:40
had
53:40
to
53:40
have
53:40
it
53:40
in
53:41
the
53:41
beginning,
53:41
but
53:41
I
53:41
have
53:42
definitely
53:42
changed
53:43
my
53:43
ways.
53:43
All
53:43
right,
53:44
Lisa,
53:44
back
53:44
to
53:44
you.
53:44
Rowan
53:45
Atkinson's
53:45
1963
53:47
Jaguar
53:47
E
53:48
type
53:48
is
53:48
for
53:48
sale.
53:49
Are
53:49
you
53:50
thumbs
53:50
up
53:50
or
53:50
thumbs
53:51
down
53:51
on
53:51
Mr.
53:52
Bean's
53:52
brand
53:52
of
53:53
comedy?
53:53
I
53:54
have
53:54
to
53:54
say
53:54
I'm
53:54
thumbs
53:55
down.
53:56
Oh,
53:57
no,
54:00
no,
54:00
no,
54:02
no.
54:02
I
54:02
do
54:03
love
54:03
his
54:03
taste
54:03
in
54:04
cars.
54:04
I
54:04
love
54:04
his
54:04
taste
54:05
in
54:05
cars.
54:05
Yes.
54:06
Okay.
54:06
All
54:06
right.
54:06
Thank
54:07
God.
54:07
Thank
54:07
God.
54:09
All
54:09
right,
54:09
Manola,
54:10
the
54:10
next
54:11
one
54:11
is
54:11
for
54:11
you.
54:12
Sora
54:12
OpenAI's
54:13
video
54:14
social
54:14
app
54:15
launched
54:15
and
54:15
reached
54:16
over
54:16
1
54:16
million
54:17
users
54:17
in
54:17
just
54:18
5
54:18
days.
54:19
Unbelievable.
54:20
What
54:21
would
54:21
the
54:21
subject
54:21
of
54:22
the
54:22
first
54:22
video
54:23
you'd
54:23
want
54:23
to
54:24
see
54:24
created?
54:25
What
54:25
would
54:25
that
54:25
subject
54:26
be?
54:26
You
54:26
know,
54:26
I.
54:27
I
54:27
hope
54:27
they
54:27
use
54:27
this
54:28
to
54:28
make
54:28
a
54:28
lot
54:28
of
54:29
fun
54:30
cat
54:30
videos
54:30
and
54:31
that
54:31
line
54:31
of
54:31
content.
54:32
Right,
54:33
yeah,
54:33
we
54:34
can
54:34
help
54:34
Hope.
54:34
Yeah,
54:35
it's
54:35
really
54:35
good
54:35
idea.
54:36
I
54:37
don't
54:37
want
54:37
to
54:37
see
54:37
it
54:37
go
54:38
to,
54:38
like,
54:38
you
54:39
know,
54:39
the
54:39
AI
54:39
models.
54:40
We
54:40
already
54:40
have
54:40
a
54:40
generation
54:41
traumatized
54:42
by
54:42
excess
54:43
Photoshop.
54:43
I
54:44
don't
54:44
want
54:44
to
54:44
see
54:44
what,
54:45
you
54:45
know,
54:45
AI
54:45
human
54:46
content
54:47
does.
54:48
I
54:48
know.
54:48
So
54:49
hopefully
54:49
it
54:49
goes
54:49
the
54:49
cat
54:50
route.
54:50
That's
54:51
fine.
54:51
Yes.
54:51
Yes.
54:52
More
54:52
bunnies
54:53
jumping
54:53
on
54:53
trampolines.
54:54
As
54:54
far
54:54
as
54:54
just.
54:55
That's
54:55
what
54:55
I'm
54:55
here
54:55
for.
54:56
That's
54:56
what
54:56
I
54:56
get
54:56
on
54:57
the
54:57
Internet
54:57
for.
54:59
All
54:59
right,
55:00
last
55:00
one.
55:00
The
55:00
Orionid.
55:01
I
55:02
think
55:02
I'm
55:02
saying
55:02
that
55:02
right.
55:02
The
55:03
Orionid
55:03
meteor
55:04
shower
55:04
is
55:04
set
55:05
to
55:05
peak
55:05
between
55:06
October
55:06
21
55:07
and
55:07
October
55:07
23.
55:08
So
55:08
tomorrow,
55:09
will
55:09
you
55:09
be
55:10
staying
55:10
up
55:10
late
55:10
to
55:10
catch
55:11
a
55:11
glimpse
55:11
of
55:11
this
55:11
astronomical
55:12
event?
55:13
You
55:14
know,
55:14
I.
55:14
I'm
55:15
going
55:15
to
55:15
try.
55:15
I
55:16
don't
55:16
have
55:16
high
55:16
hopes.
55:17
I
55:17
don't
55:18
have
55:18
high
55:18
hopes
55:18
because
55:18
light
55:19
pollution
55:19
and
55:19
it's
55:20
supposed
55:20
to
55:20
be
55:20
cloudy.
55:21
But
55:21
I've
55:22
made
55:22
a
55:22
plan.
55:23
I'll
55:23
go
55:23
out
55:23
to
55:23
the
55:24
roof
55:24
and
55:24
we'll
55:24
see
55:24
if
55:25
there's
55:25
anything,
55:25
you
55:26
know,
55:26
up
55:27
there
55:27
flickering.
55:28
I.
55:28
Yeah,
55:29
I
55:29
like
55:29
those
55:29
kind
55:30
of
55:30
things.
55:30
It's.
55:30
It's
55:31
fun.
55:31
Ah,
55:32
good
55:32
for
55:32
you.
55:32
That's
55:32
why
55:32
I
55:33
asked
55:33
the
55:33
question
55:33
as
55:33
a
55:33
shot
55:34
in
55:34
the
55:34
dark,
55:34
to
55:34
see,
55:34
like,
55:34
what
55:35
kind
55:35
of
55:35
things
55:35
are
55:35
you
55:35
into?
55:35
What
55:36
are
55:36
our
55:36
guests?
55:36
That's
55:37
awesome.
55:37
A
55:37
literal.
55:37
A
55:38
literal
55:38
shot
55:38
in
55:38
the
55:38
dark.
55:39
Yeah.
55:39
Literal
55:39
shot
55:40
in
55:40
the
55:40
dark.
55:40
Yes.
55:41
That's
55:41
right.
55:41
That's
55:42
right.
55:42
Well,
55:42
what
55:43
a
55:43
great
55:43
show.
55:43
What
55:44
a
55:44
lot.
55:44
A
55:44
ton
55:44
of
55:44
fun.
55:45
Ton
55:45
of
55:45
fun.
55:45
Happy
55:45
birthday
55:46
today
55:46
to
55:46
Christopher
55:47
Lloyd,
55:48
Bob
55:48
Odenkirk,
55:49
and
55:49
possibly
55:49
the
55:49
most
55:49
eccentric,
55:50
and
55:50
I
55:51
will
55:51
dare
55:51
say,
55:51
oddly
55:52
sexy
55:53
actor
55:53
to
55:53
ever
55:53
live
55:54
the
55:54
Fly
55:55
himself,
55:55
Jeff
55:55
Goldblum.
55:57
Today's
55:57
podcast
55:57
was
55:57
produced
55:58
with
55:58
the
55:58
help
55:58
and
55:58
support
55:59
of
55:59
Ella
55:59
Siryork.
56:00
And
56:00
remember,
56:00
if
56:01
you
56:01
can
56:01
only
56:01
read
56:01
or
56:01
listen
56:01
to
56:02
one
56:02
retail
56:02
blog
56:02
in
56:02
the
56:03
business,
56:03
Make
56:03
It
56:03
Omnitok,
56:04
the
56:04
only
56:04
retail
56:04
media
56:04
outlet
56:05
run
56:05
by
56:05
two
56:05
former
56:06
executives
56:06
from
56:06
a
56:06
current
56:07
top
56:07
10
56:07
US
56:07
retailer.
56:08
Our
56:08
Fast
56:09
Five
56:09
podcast
56:09
is
56:09
the
56:09
quickest,
56:10
fastest
56:10
rundown
56:11
of
56:11
all
56:11
the
56:11
week's
56:11
top
56:11
news
56:12
and
56:12
our
56:12
daily
56:13
newsletter,
56:13
the
56:13
Retail
56:13
Daily
56:14
Minute,
56:14
tells
56:14
you
56:14
all
56:14
you
56:14
need
56:15
to
56:15
know
56:15
each
56:15
day
56:15
to
56:16
stay
56:16
on
56:16
top
56:16
of
56:16
your
56:16
game
56:16
as
56:17
a
56:17
retail
56:17
executive
56:18
and
56:18
also
56:18
regularly
56:19
features
56:19
special
56:19
content
56:20
that
56:20
is
56:20
exclusive
56:20
to
56:21
us
56:21
with
56:21
nit.
56:21
Ann
56:22
and
56:22
I
56:22
take
56:22
a
56:22
lot
56:22
of
56:23
pride
56:23
in
56:23
doing
56:23
just
56:23
for
56:24
you.
56:24
Thanks
56:25
as
56:25
always
56:25
for
56:25
listening
56:25
in.
56:25
Please
56:26
remember
56:26
to
56:26
like
56:26
and
56:26
leave
56:27
us
56:27
a
56:27
review
56:27
wherever
56:27
you
56:28
happen
56:28
to
56:28
listen
56:28
to
56:28
your
56:28
podcast
56:29
or
56:29
on
56:29
YouTube.
56:30
You
56:30
can
56:30
follow
56:30
us
56:30
today
56:31
by
56:31
simply
56:31
going
56:31
to
56:31
YouTube.com
56:33
omnitalkretail
56:34
Manola
56:35
if
56:35
people
56:35
enjoyed
56:36
this
56:36
conversation,
56:37
they
56:37
want
56:37
to
56:37
pick
56:37
either
56:38
yours
56:38
or
56:39
Lisa's
56:39
brains.
56:39
What's
56:40
the
56:40
best
56:40
way
56:40
for
56:40
them
56:40
to
56:41
do
56:41
that?
56:41
Absolutely.
56:42
The
56:42
easiest
56:42
way
56:42
to
56:43
find
56:43
Lisa
56:43
and
56:43
I
56:43
would
56:43
be
56:44
on
56:44
LinkedIn.
56:45
And
56:45
if
56:46
you
56:46
want
56:46
to
56:46
know
56:47
more
56:47
about
56:47
the
56:47
broader
56:48
consumer
56:48
and
56:48
retail
56:49
goods
56:49
practice,
56:49
you
56:50
can
56:50
visit
56:50
us
56:50
at
56:50
Alvarez
56:51
and
56:51
marsal-crg.com
56:54
well,
56:54
it's
56:55
great
56:55
having
56:55
both.
56:55
Of
56:55
you
56:55
on
56:56
the
56:56
show,
56:56
as
56:56
always,
56:57
on
56:58
behalf
56:58
of
56:58
all
56:58
of
56:58
us
56:58
at
56:59
OmniAlks
56:59
Retail,
57:00
on
57:00
behalf
57:00
of
57:00
our
57:00
friends
57:01
at
57:01
the
57:01
Alvarez
57:01
and
57:02
Marcel
57:02
consumer
57:03
and
57:03
retail
57:03
group,
57:03
as
57:03
always,
57:04
be
57:04
careful
57:04
out
57:05
there.