Latest / Omni Talk Retail / Starbucks $1B Delivery Secret, Oreos In AI & Amazon's Whole Foods Doritos Gamble | Fast Five

Transcript

Starbucks $1B Delivery Secret, Oreos In AI & Amazon's Whole Foods Doritos Gamble | 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
improve
1:00
execution.
1:01
No
1:01
fluff,
1:02
just
1:03
action.
1:04
Help
1:04
your
1:04
managers
1:05
focus
1:05
on
1:05
what
1:05
matters
1:06
most.
1:06
Visit
1:06
corso.com
1:08
to
1:08
see
1:08
Intelligent
1:09
management
1:09
in
1:10
motion
1:10
and
1:11
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
1:16
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
1:23
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
1:36
and
1:36
operational
1:36
support.
1:37
Learn
1:38
more@ocampo
1:39
capital.com
1:41
hello,
1:41
you
1:42
are
1:42
listening
1:42
to
1:42
Omnitalks.
1:43
Retail
1:43
Fast
1:44
Five
1:44
ranked
1:44
in
1:44
the
1:44
top
1:44
10%
1:45
of
1:45
all
1:45
podcasts
1:46
globally
1:46
and
1:46
currently
1:47
the
1:47
only
1:48
retail
1:48
podcast
1:48
ranked
1:49
in
1:49
the
1:49
top
1:49
100
1:49
of
1:50
all
1:50
business
1:50
podcasts
1:51
on
1:51
Apple
1:51
Podcasts.
1:52
The
1:52
Retail
1:52
Fast
1:53
five
1:53
is
1:53
the
1:53
podcast
1:53
that
1:54
we
1:54
hope
1:54
makes
1:54
you
1:54
feel
1:54
a
1:55
little
1:55
smarter,
1:55
but
1:55
most
1:56
importantly,
1:56
a
1:56
little
1:56
happier
1:57
each
1:57
week
1:58
too.
1:58
And
1:58
the
1:59
Fast
1:59
5
1:59
is
1:59
just
1:59
one
1:59
of
2:00
the
2:00
many
2:00
great
2:00
podcasts
2:01
you
2:01
can
2:01
find
2:01
from
2:01
the
2:01
Amitak
2:02
Retail
2:02
Podcast
2:03
Network
2:03
alongside
2:04
our
2:04
Retail
2:04
Daily
2:04
minute,
2:05
which
2:05
brings
2:05
you
2:06
a
2:06
curated
2:06
selection
2:06
of
2:07
the
2:07
most
2:07
important
2:07
retail
2:08
headlines
2:08
every
2:08
morning
2:09
and
2:09
our
2:10
Retail
2:10
Technology
2:10
Spotlight
2:11
series
2:11
which
2:11
goes
2:12
deep
2:12
each
2:12
week
2:12
on
2:12
the
2:13
latest
2:13
retail
2:13
technology
2:14
trends.
2:15
It's
2:15
November
2:15
5,
2:16
2025.
2:17
I'm
2:17
one
2:17
of
2:17
your
2:17
hosts,
2:18
Ann
2:18
Mazinga.
2:19
And
2:19
I'm
2:19
Chris
2:20
Walton
2:21
and
2:21
we're
2:21
here.
2:21
Once
2:22
again
2:22
to
2:22
discuss
2:22
all
2:22
the
2:23
top
2:23
headlines
2:23
from
2:23
the
2:24
past
2:24
week
2:24
making
2:25
waves
2:25
in
2:25
the
2:25
world
2:25
of
2:26
omnichannel
2:26
retailing.
2:27
Now,
2:27
Chris,
2:28
before
2:28
we
2:28
get
2:28
into
2:29
the
2:29
show,
2:31
this
2:31
this
2:32
thing
2:32
has
2:32
been
2:33
a
2:33
topic
2:33
of
2:34
conversation
2:34
in
2:35
our
2:35
house.
2:35
Every
2:36
dinner
2:36
that
2:36
we've
2:37
with
2:37
friends
2:37
over
2:38
Halloween
2:39
we
2:39
talk
2:39
a
2:39
lot
2:39
about
2:40
artificial
2:40
intelligence
2:41
on
2:41
this,
2:41
on
2:42
the
2:42
show,
2:42
but
2:42
I
2:42
have
2:42
to
2:43
ask,
2:43
have
2:43
you
2:43
seen
2:44
this?
2:44
Neo
2:45
personal
2:45
assistant,
2:46
human,
2:47
humanoid
2:48
robot.
2:49
It's
2:49
$20,000.
2:50
Do
2:50
you
2:50
know
2:50
anything
2:51
about
2:51
this?
2:52
No,
2:52
I
2:52
haven't,
2:53
but
2:53
I'm
2:53
gonna.
2:53
I'm
2:54
gonna
2:54
quick
2:54
look
2:54
it
2:54
up
2:54
here
2:55
as
2:55
you're
2:55
talking.
2:55
Yeah.
2:56
Describe
2:56
it
2:56
to
2:56
me
2:56
as
2:57
I
2:57
look
2:57
it
2:57
up.
2:57
So
2:58
for
2:58
those
2:59
listening,
2:59
it.
3:00
This
3:00
is
3:00
basically.
3:01
It
3:01
looks
3:03
so
3:03
a
3:03
character
3:04
out
3:04
of
3:04
a
3:04
horror
3:04
movie
3:05
with,
3:05
like,
3:05
no
3:05
face,
3:06
like
3:06
a
3:06
fencing
3:07
mask
3:07
on.
3:08
It's
3:08
$20,000.
3:09
And
3:09
now
3:09
you
3:10
can
3:10
hire
3:10
them.
3:11
It's
3:11
first
3:12
round,
3:12
but,
3:13
like,
3:13
you
3:13
can
3:13
hire
3:13
them
3:14
to
3:14
do
3:14
laundry.
3:15
You
3:15
can
3:15
hire
3:15
them
3:16
to,
3:16
like,
3:16
do
3:16
personal
3:17
tasks.
3:17
They
3:17
can
3:18
do,
3:18
like,
3:18
cleaning
3:19
tasks.
3:20
Let
3:20
your
3:20
dog
3:21
out.
3:21
I
3:21
mean,
3:21
whatever
3:22
you
3:22
want
3:22
it
3:22
to
3:22
do.
3:23
Like,
3:23
you
3:23
are
3:23
programming
3:24
it.
3:24
It's
3:24
the
3:24
first
3:24
version.
3:25
But,
3:25
like,
3:26
people
3:26
are
3:26
actually
3:27
buying
3:27
these
3:27
things.
3:27
And
3:28
since
3:28
you
3:29
have
3:29
an
3:29
Alexa,
3:30
like,
3:30
this
3:30
is
3:30
where
3:30
we
3:30
were
3:30
getting
3:31
with
3:31
our.
3:31
Yeah.
3:31
Like,
3:32
this
3:32
is
3:32
the
3:32
next
3:33
step
3:33
past
3:33
Alexa.
3:34
Perhaps.
3:35
I
3:35
won't
3:35
even
3:35
let
3:35
an
3:35
ALEXA
3:36
in
3:36
my
3:36
home.
3:37
So
3:37
I
3:37
have
3:37
to
3:38
know,
3:38
like,
3:38
as
3:38
somebody
3:39
who
3:39
lives
3:39
and
3:40
dies
3:40
by
3:40
Alexa,
3:41
would
3:42
you
3:42
go
3:42
to
3:43
this
3:43
next
3:43
level?
3:43
Like,
3:44
if.
3:44
If
3:45
you
3:45
were
3:45
gifted
3:45
a
3:46
Neo
3:46
robot,
3:47
would
3:47
you
3:47
bring
3:47
it
3:47
into
3:48
your
3:48
home?
3:49
Oh,
3:49
100%.
3:50
Looking
3:50
at
3:50
it.
3:50
100%.
3:51
I
3:51
would
3:51
add,
3:52
who
3:52
let
3:52
the
3:52
dogs
3:52
out?
3:53
Neil
3:53
the
3:53
robot.
3:54
100%.
3:55
Yeah.
3:55
Now,
3:55
granted,
3:56
seeing
3:56
what
3:56
I'm
3:57
seeing
3:57
online
3:57
as
3:57
you're
3:58
talking
3:58
about,
3:58
this
3:58
is
3:58
the
3:58
creepiest
3:59
freaking
3:59
thing
3:59
I've
3:59
ever
4:00
seen
4:00
in
4:00
my
4:00
life.
4:00
It's
4:01
like
4:01
a
4:01
horror
4:01
movie
4:02
waiting
4:02
to
4:02
happen.
4:02
Like,
4:03
when
4:03
NEO
4:03
goes
4:04
bad,
4:04
you
4:04
know,
4:04
or
4:04
Neo
4:05
goes
4:05
rogue,
4:05
but
4:06
yes.
4:06
Yeah,
4:06
man,
4:07
2020.
4:08
Or
4:08
when
4:08
Neo
4:09
accident
4:09
accidentally
4:10
shows
4:10
up
4:10
in
4:10
your
4:11
room
4:11
in
4:11
the
4:11
middle
4:11
of
4:11
the
4:12
night
4:12
and
4:12
is,
4:12
like,
4:12
hovering
4:13
over
4:13
you,
4:13
waiting
4:14
for
4:14
a
4:14
command,
4:15
like
4:15
Adam.
4:16
Goldberg
4:16
and
4:16
Friends
4:17
with
4:17
Chandler,
4:17
like,
4:18
just
4:18
staring
4:18
at
4:18
you.
4:19
Yeah,
4:20
but,
4:20
like.
4:20
But
4:20
I
4:20
mean,
4:21
$20,000
4:21
seems
4:22
really
4:22
steep,
4:22
but,
4:22
like,
4:23
if
4:23
the
4:24
value's
4:24
there
4:24
and
4:24
it
4:25
can
4:25
clean
4:25
my
4:25
house
4:25
and
4:26
the
4:26
pictures
4:26
online
4:26
of.
4:27
Are
4:27
it
4:27
scrubbing
4:28
my
4:28
toilets?
4:29
Yes,
4:29
please.
4:29
I
4:30
mean,
4:30
oh,
4:30
my
4:30
gosh.
4:34
Maybe
4:35
if
4:35
the
4:35
price
4:35
came
4:35
down
4:35
and
4:36
the
4:36
value
4:36
in
4:37
the
4:37
utility
4:37
was
4:37
there.
4:37
Yeah.
4:38
And
4:38
I
4:38
was
4:38
confident.
4:38
Was
4:39
it
4:39
going
4:39
to,
4:39
like,
4:40
you
4:40
know,
4:40
attack
4:40
me
4:41
in
4:41
the
4:41
middle
4:41
of
4:41
the
4:41
night
4:41
while
4:42
I'm
4:42
sleeping?
4:42
Yes.
4:42
And
4:42
I.
4:42
I
4:43
imagine
4:43
I
4:43
don't
4:43
have
4:44
safety
4:44
protocols
4:45
involved
4:45
in
4:45
this,
4:45
but.
4:46
But,
4:46
yeah,
4:46
100%.
4:47
I
4:47
would.
4:47
You.
4:47
Would
4:49
you
4:49
want
4:49
a
4:50
cylinder
4:50
onto
4:50
your
4:50
counter?
4:51
And
4:51
so
4:51
I
4:52
know
4:52
you're
4:52
not.
4:52
I
4:52
don't.
4:53
I
4:53
don't
4:53
want
4:53
my.
4:54
I
4:54
don't.
4:54
I
4:54
don't
4:54
love
4:54
that
4:55
my
4:55
phone
4:55
listens
4:56
to
4:56
me.
4:56
I
4:56
don't
4:56
love
4:56
that
4:57
any.
4:57
I
4:57
mean,
4:57
even
4:58
ChatGPT
4:59
is
4:59
listening
4:59
to
4:59
me
5:00
and
5:00
is
5:00
serving
5:01
up
5:01
all
5:01
kinds
5:02
of
5:02
results
5:02
for
5:02
things
5:03
that
5:03
I
5:03
didn't
5:03
ask
5:03
for.
5:04
So
5:04
no,
5:04
I
5:05
would
5:05
absolutely
5:06
not.
5:06
I
5:06
will
5:06
not
5:07
be
5:07
part
5:07
of
5:07
the
5:07
pilot
5:08
program
5:08
for
5:08
this
5:09
$20,000
5:09
humanoid
5:10
robot.
5:10
There's
5:11
no
5:11
way
5:11
in
5:11
hell.
5:12
Well,
5:12
and
5:12
you
5:13
know
5:13
who
5:13
else
5:13
is
5:13
listening
5:13
to
5:14
you?
5:14
Our
5:15
Omni
5:15
Talk
5:15
fans.
5:16
Oh,
5:17
my
5:17
gosh.
5:17
That's
5:17
fine.
5:18
That's
5:18
fine.
5:18
I
5:19
know
5:19
what
5:19
I'm
5:19
saying
5:19
to
5:19
them
5:20
for
5:20
the
5:20
most
5:20
part.
5:22
Okay.
5:22
Well,
5:22
Chris,
5:23
it
5:23
is
5:24
also
5:24
the
5:24
first
5:24
show
5:24
of
5:24
the
5:25
month,
5:25
which
5:25
means
5:25
that
5:26
we
5:26
need
5:26
to
5:26
award
5:27
this
5:27
month's
5:28
Omni
5:28
Star.
5:29
So,
5:29
Chris,
5:29
tell
5:29
us
5:30
who
5:30
won
5:30
the
5:31
month
5:31
of
5:31
November,
5:32
please.
5:33
Yes,
5:33
and
5:34
of
5:34
course,
5:34
yes.
5:34
Thanks
5:35
for
5:35
the
5:35
reminder
5:35
for
5:35
those
5:35
news.
5:36
The
5:36
pot
5:36
new
5:36
to
5:37
the
5:37
podcast.
5:37
The
5:37
Omnistar
5:38
Award
5:38
is
5:38
of
5:38
course
5:38
the
5:38
award
5:39
we
5:39
give
5:39
out
5:39
each
5:39
month
5:40
in
5:40
partnership
5:40
with
5:41
Corso
5:41
to
5:41
recognize
5:41
the
5:42
omnichannel
5:42
operators
5:43
out
5:43
there.
5:43
The
5:44
top
5:44
omnichannel
5:45
operators
5:45
out
5:45
there,
5:45
I
5:46
should
5:46
say,
5:46
not
5:46
the
5:47
pundits,
5:47
not
5:48
the
5:48
so
5:48
called
5:48
experts.
5:49
There's
5:49
a
5:49
lot
5:49
of
5:49
that
5:49
going
5:49
on
5:50
right
5:50
now,
5:50
but
5:50
the
5:50
real
5:50
life
5:51
retail
5:51
operators
5:52
making
5:52
a
5:52
difference
5:53
in
5:53
their
5:53
organizations.
5:54
Corso's
5:55
AI
5:55
copilot,
5:56
you
5:56
might
5:56
recall,
5:57
coaches
5:58
retail
5:58
leaders
5:58
to
5:58
optimize
5:59
store
5:59
performance
5:59
at
6:00
every
6:00
level,
6:00
transform
6:01
retail
6:01
operations
6:02
from
6:02
data
6:02
overload
6:03
into
6:03
data
6:04
powered.
6:04
And
6:05
in
6:05
this
6:05
month,
6:06
we
6:06
are
6:06
excited
6:07
to
6:07
give
6:07
the
6:07
award
6:08
to
6:08
Justin
6:08
Weinstein,
6:09
the
6:09
EVP
6:10
and
6:10
chief
6:10
merchandising
6:11
and
6:11
Marketing
6:11
officer
6:12
at
6:12
Giant
6:13
Eagle.
6:13
Justin
6:13
is
6:14
winning
6:14
this
6:14
month's
6:15
award
6:15
for
6:15
the
6:15
bold
6:16
work
6:16
he
6:16
is
6:16
doing
6:17
leading
6:18
95
6:18
years
6:18
old.
6:19
95
6:19
years
6:20
old,
6:20
and
6:20
Giant
6:21
Eagles
6:21
$100
6:22
million
6:23
because
6:23
it
6:23
matters.
6:24
New
6:24
brand
6:25
positioning,
6:26
campaign
6:26
and
6:27
work
6:27
effort.
6:28
So
6:28
congratulations,
6:29
Justin,
6:30
on
6:30
being
6:30
named
6:31
this
6:31
month's
6:31
Omni
6:32
Star.
6:33
All
6:33
right,
6:33
Ed,
6:33
should
6:33
we
6:34
get
6:34
to
6:34
the
6:34
headlines?
6:35
Let's
6:35
do
6:35
it.
6:36
In
6:36
this
6:36
week's
6:36
Fast5,
6:37
we've
6:37
got
6:37
news
6:37
on
6:38
the
6:38
surprising
6:39
size
6:39
of
6:39
Starbucks
6:40
delivery
6:40
business
6:41
Mondelez
6:42
aggressive
6:42
use
6:42
and
6:43
investment
6:43
in
6:43
generative
6:44
AI,
6:45
Kroger
6:45
and
6:45
Uber
6:46
Eats.
6:46
New
6:46
partnership
6:46
that
6:47
integrates
6:47
restaurant
6:48
delivery
6:48
right
6:48
into
6:49
the
6:49
Kroger
6:49
app
6:50
grubhub
6:51
now
6:51
enabling
6:52
grocery
6:52
delivery
6:53
via,
6:53
yes,
6:54
Instacart.
6:55
And
6:55
in
6:55
a
6:55
new
6:55
segment,
6:56
we
6:56
are
6:56
calling
6:57
which
6:57
headline
6:57
won
6:58
the
6:58
week?
6:59
Producer
6:59
Ella
6:59
will
7:00
join
7:00
us
7:00
at
7:00
the
7:00
end
7:00
of
7:00
the
7:00
show
7:01
to
7:01
discuss
7:01
which
7:01
headline
7:02
discussion
7:03
piqued
7:03
her
7:03
interest
7:04
the
7:04
most.
7:04
But
7:04
we
7:04
begin
7:05
today
7:05
with
7:05
big
7:06
news
7:06
from
7:07
the
7:07
Wall
7:07
Street
7:07
Journal
7:08
surrounding
7:08
Amazon.
7:09
And
7:10
that's
7:10
right,
7:10
headline
7:11
number
7:11
one,
7:11
the
7:12
Amazonification,
7:13
which
7:14
is
7:14
a
7:14
new
7:14
word
7:14
that
7:15
apparently
7:15
we
7:15
all
7:16
need
7:16
to
7:16
have
7:16
in
7:16
our
7:17
dictionaries.
7:18
The
7:18
Amazonification
7:19
of
7:20
Whole
7:20
Foods
7:20
may
7:20
now
7:20
be
7:21
closer
7:21
than
7:21
it
7:22
has
7:22
ever
7:22
appeared
7:23
before.
7:23
According
7:23
to
7:24
the
7:24
Wall
7:24
Street
7:24
Journal,
7:25
Amazon
7:25
is
7:26
shaking
7:26
up
7:26
the
7:26
natural
7:27
foods
7:27
groceries
7:28
with
7:28
robots
7:28
in
7:29
the
7:29
back
7:29
room
7:29
and
7:29
Pepsi
7:30
outside
7:30
the
7:31
exit
7:31
in
7:31
its
7:31
push
7:32
for
7:32
a
7:32
bigger
7:32
slice
7:33
of
7:33
the
7:33
supermarket
7:34
business.
7:34
For
7:35
example,
7:35
a
7:36
new
7:36
feature
7:36
lurks
7:37
in
7:37
the
7:37
back
7:37
room
7:38
of
7:38
a
7:38
Whole
7:38
Foods
7:39
Market
7:39
in
7:39
suburban
7:39
Philadelphia
7:40
called
7:40
the
7:41
Shopbots,
7:41
a
7:42
group
7:42
of
7:42
robots
7:42
that
7:43
fetch
7:43
Tide
7:43
Pods
7:44
and
7:44
Pepsi
7:45
for
7:45
shoppers
7:45
who
7:46
aren't
7:46
fully
7:46
satisfied
7:47
by
7:47
Whole
7:48
Foods
7:48
selection
7:48
of
7:49
organic
7:49
kale
7:49
and
7:50
craft
7:50
beer.
7:51
In
7:51
the
7:51
beverage
7:51
section,
7:52
shoppers
7:52
face
7:53
a
7:53
selection
7:53
of
7:54
prebiotic
7:55
sodas
7:55
free
7:55
of
7:55
GMOs
7:56
and
7:56
artificial
7:56
colors.
7:57
However,
7:57
if
7:57
you
7:58
they
7:58
really
7:58
just
7:59
want
7:59
a
7:59
Pepsi,
8:00
they
8:00
can
8:00
pull
8:00
out
8:00
their
8:00
phones,
8:01
open
8:01
the
8:01
Amazon
8:01
app
8:02
and
8:02
ask.
8:03
And
8:03
the
8:03
shop
8:03
bots
8:03
will
8:04
spring
8:04
into
8:04
action.
8:05
The
8:05
soda
8:05
will
8:06
be
8:06
ready
8:06
to
8:06
pick
8:06
up
8:07
in
8:07
minutes.
8:08
And
8:08
in
8:08
a
8:08
separate
8:09
trial
8:09
in
8:09
Chicago,
8:10
the
8:10
Pepsi
8:11
is
8:11
even
8:11
more
8:12
visible
8:12
there.
8:13
Amazon
8:14
has
8:14
cleared
8:14
their
8:15
coffee
8:15
shop
8:15
and
8:16
seating
8:16
area
8:16
in
8:17
the
8:17
city's
8:17
flagship
8:17
Whole
8:18
Foods,
8:18
installing
8:19
in
8:19
its
8:19
place
8:19
a
8:20
3,800
8:20
square
8:21
foot
8:21
grocery
8:22
kiosk
8:22
called
8:23
Amazon
8:23
Grocery,
8:24
filled
8:24
with
8:24
brands
8:25
like,
8:25
like
8:25
Kraft
8:26
Mac
8:26
and
8:26
Cheese
8:26
and
8:26
Chips
8:27
Ahoy.
8:28
Chris,
8:28
as
8:29
the
8:29
biggest
8:29
Doritos
8:30
and
8:30
Pepsi
8:31
fan
8:31
out
8:31
there,
8:31
are
8:32
you
8:32
buying
8:32
or
8:33
selling
8:33
the
8:33
idea
8:34
that
8:34
Amazon
8:35
intends
8:35
to
8:36
allow
8:36
us
8:36
to
8:37
buy
8:37
both
8:37
of
8:37
those
8:38
things
8:38
at
8:38
Whole
8:39
Foods
8:39
in
8:39
the
8:40
long
8:40
term?
8:40
I
8:41
think
8:41
I
8:41
am
8:41
buying
8:42
that.
8:42
That
8:42
is
8:42
the
8:43
ultimate
8:43
plan
8:43
here.
8:44
And
8:44
I'm
8:44
curious
8:44
what
8:45
you
8:45
think.
8:45
This
8:45
story
8:45
is
8:46
really,
8:47
really
8:47
interesting
8:47
to
8:47
me.
8:47
I
8:48
mean,
8:48
we
8:48
talked
8:48
about
8:48
it
8:48
a
8:49
while
8:49
back
8:49
on
8:49
our
8:49
show
8:50
that
8:50
they
8:50
were
8:50
contemplating
8:51
testing
8:51
this
8:52
and
8:52
I
8:52
guess
8:53
now
8:53
it's
8:53
live.
8:53
And
8:53
the
8:54
funny
8:54
thing
8:54
I
8:54
think
8:54
is
8:54
like
8:55
the
8:55
3,600
8:56
foot
8:56
square
8:57
foot
8:57
kiosk,
8:58
that's
8:58
not
8:58
a
8:58
kiosk,
8:59
that's
8:59
a
8:59
fricking
8:59
convenience
9:00
store
9:00
at
9:00
that
9:00
size.
9:01
Right?
9:01
So
9:01
like,
9:02
so
9:02
like
9:03
makes
9:03
me
9:03
think
9:03
that
9:03
these
9:04
tests,
9:04
you
9:04
know,
9:05
that,
9:05
that
9:05
Amazon's
9:06
moving
9:06
in
9:06
this
9:06
direction
9:07
because
9:07
these
9:07
tests
9:07
are
9:08
so
9:08
strange
9:09
that
9:09
it
9:09
feels
9:10
to
9:10
me
9:10
like
9:10
someone
9:10
at
9:11
Amazon
9:11
probably
9:12
sat
9:12
down
9:12
at
9:12
one
9:12
point
9:13
in
9:13
time
9:13
and
9:14
wrote
9:14
a
9:14
vaunted
9:15
Amazon
9:15
press
9:16
release
9:16
of
9:16
what
9:17
if
9:17
you
9:17
could
9:17
get
9:17
Whole
9:17
Foods
9:18
products
9:18
and
9:18
your
9:18
average
9:19
grocery
9:19
store
9:19
products
9:20
all
9:20
in
9:20
the
9:20
same
9:21
trip?
9:21
Imagine
9:22
that
9:22
world.
9:23
And
9:23
so
9:23
when
9:23
you
9:24
put
9:24
it
9:24
that
9:24
way,
9:24
I
9:24
can
9:25
see
9:25
the
9:25
allure
9:26
of
9:26
the
9:26
concept
9:27
because
9:28
that
9:28
idea
9:28
just
9:28
doesn't
9:29
exist
9:29
in
9:29
the
9:29
marketplace.
9:30
But
9:30
in
9:30
my
9:30
opinion,
9:31
as
9:31
I've
9:31
said
9:31
before,
9:32
there's
9:33
a
9:33
reason
9:33
for
9:33
that.
9:33
It's
9:34
because
9:34
the
9:34
mass
9:34
market
9:35
doesn't
9:35
want
9:35
it.
9:36
If
9:36
it
9:36
did,
9:36
the
9:37
buyers
9:37
at
9:37
Walmart,
9:38
Target
9:38
and
9:38
Kroger
9:39
would
9:39
devote
9:40
more
9:40
of
9:40
their
9:40
shelf
9:40
space
9:40
to
9:41
what
9:41
Whole
9:41
Foods
9:42
actually
9:42
sell.
9:42
So
9:43
if
9:43
I
9:43
play
9:43
this
9:43
out,
9:44
all
9:45
roads
9:45
lead
9:45
down
9:45
the
9:46
same
9:46
path.
9:46
To
9:46
me,
9:46
that
9:47
over
9:47
time,
9:48
Whole
9:48
Foods
9:48
looks
9:49
less
9:49
like
9:49
we
9:49
know
9:49
it
9:50
today
9:50
and
9:51
more
9:51
like
9:51
your
9:51
average
9:51
grocery
9:52
store
9:52
with
9:53
no
9:53
real
9:53
points
9:53
of
9:54
competitive
9:54
differentiation.
9:55
Now,
9:55
with
9:56
that
9:56
said,
9:56
I
9:56
can
9:57
get
9:57
behind
9:57
the
9:57
milk
9:58
with
9:58
my
9:58
electronics
9:59
idea
10:00
that
10:00
Andrew
10:00
Jassy
10:01
was,
10:01
you
10:01
know,
10:01
purporting
10:02
to
10:02
talk
10:03
about
10:03
in
10:03
the
10:03
media
10:03
last
10:04
week.
10:04
Given
10:04
where
10:05
Whole
10:05
Foods
10:06
stores
10:06
are
10:06
and
10:06
where
10:07
they're
10:07
located,
10:07
that
10:08
could
10:08
be
10:08
valuable
10:08
in
10:09
and
10:09
of
10:09
itself
10:09
to
10:10
Amazon
10:10
for
10:10
the
10:10
online
10:11
delivery
10:11
business.
10:11
So
10:11
I
10:12
have
10:12
to
10:12
consider
10:12
that.
10:13
But
10:13
the
10:13
whole
10:14
thing,
10:14
at
10:14
the
10:14
end
10:14
of
10:14
the
10:14
day,
10:14
makes
10:15
me
10:15
very,
10:15
very
10:15
sad
10:16
because
10:17
if
10:17
any
10:17
of
10:17
what
10:18
I
10:18
said
10:18
is
10:18
true,
10:19
Amazon
10:20
is
10:20
essentially
10:20
destroying
10:21
a
10:21
once
10:22
proud
10:22
brand
10:22
and
10:23
a
10:23
brand
10:23
that
10:24
in
10:24
my
10:24
opinion,
10:25
could
10:25
still
10:25
thrive
10:26
in
10:26
the
10:26
marketplaces
10:27
on
10:27
its
10:27
own
10:28
and
10:28
for
10:28
its
10:28
own
10:28
purpose
10:29
of
10:29
its
10:29
design.
10:30
Yeah,
10:30
I
10:30
mean,
10:30
I
10:31
think
10:31
they,
10:31
they
10:31
have
10:31
even
10:32
more
10:32
of
10:32
a
10:32
chance
10:33
to
10:33
thrive.
10:33
They're
10:33
an
10:33
established
10:34
brand.
10:34
And
10:35
when
10:35
you
10:35
look
10:35
at
10:35
some
10:35
of
10:35
the
10:36
competitors
10:36
out
10:36
there
10:36
of
10:37
Trader
10:37
Joe's
10:37
and
10:38
Sprouts
10:38
and
10:38
other,
10:39
other
10:39
spaces
10:40
in
10:40
their,
10:41
in
10:41
their
10:42
same
10:42
kind
10:42
of
10:43
organic,
10:43
best
10:44
quality
10:44
food
10:45
and
10:45
produce
10:45
space,
10:46
I
10:46
think
10:46
the
10:47
Whole
10:47
Foods
10:48
has
10:48
the
10:48
best
10:48
chance
10:48
to
10:49
do
10:49
that.
10:49
And
10:49
I
10:49
think
10:50
the
10:50
other
10:50
thing
10:50
that
10:50
this,
10:51
this
10:51
makes
10:51
me
10:52
wonder
10:52
is
10:53
like
10:53
Sprouts
10:54
and
10:54
Trader
10:54
Joe's,
10:54
we've
10:54
talked
10:55
to
10:55
their
10:55
teams
10:56
at
10:57
length
10:57
and
10:58
they
10:59
know
10:59
they're
10:59
an
10:59
extra
10:59
trip.
11:00
Whole
11:00
Foods
11:01
knows
11:01
it's
11:01
an
11:01
extra
11:02
trip
11:02
for
11:02
most
11:02
people.
11:03
And
11:03
if
11:04
they
11:04
want
11:04
the
11:04
Doritos,
11:05
they
11:05
want
11:05
the
11:06
Pepsi.
11:06
All
11:06
of
11:06
that
11:06
is
11:07
shelf,
11:07
stable
11:07
stuff
11:08
that's
11:08
easy
11:09
to
11:09
order
11:09
online
11:10
through
11:10
a
11:10
variety
11:11
of
11:11
other
11:13
places
11:13
or.
11:13
I,
11:14
I
11:14
was
11:14
thinking
11:14
last
11:15
night
11:15
about
11:15
the
11:15
use
11:15
cases,
11:16
like
11:16
if
11:16
you're
11:16
a
11:17
Whole
11:17
Foods
11:17
shopper
11:18
and
11:18
that's
11:18
where
11:18
you
11:18
get
11:18
all
11:19
your
11:19
food,
11:19
what,
11:20
what
11:20
are
11:20
those
11:20
times
11:21
where
11:21
you're
11:21
really
11:22
going
11:22
to
11:22
get
11:22
the
11:22
Doritos
11:23
and
11:23
the
11:23
Pepsi?
11:23
Maybe
11:24
it's
11:24
a
11:24
Super
11:24
bowl
11:25
party,
11:25
maybe
11:25
it's
11:25
what?
11:26
Whatever.
11:26
Like,
11:26
right,
11:26
that's
11:27
not
11:27
a
11:27
common
11:27
thing
11:28
that
11:28
you're
11:28
doing.
11:29
And
11:29
so
11:29
in
11:29
that
11:30
case,
11:30
like,
11:30
why
11:30
wouldn't
11:31
you
11:31
just
11:31
make
11:31
a
11:31
trip
11:31
to
11:32
a
11:32
Target
11:32
so
11:32
you
11:32
can
11:32
get
11:33
all
11:33
the
11:33
things
11:33
that
11:33
you
11:33
need
11:34
in
11:34
that
11:34
scenario?
11:35
So
11:35
I,
11:36
I
11:36
think
11:36
that
11:36
this
11:37
is
11:37
just
11:37
a
11:37
really
11:39
disappointing
11:40
decision
11:40
for
11:41
Amazon
11:42
to
11:42
make
11:42
with
11:43
the
11:43
Whole
11:43
Foods
11:43
brand
11:44
that's
11:44
been
11:45
so
11:45
beloved
11:45
and
11:46
so
11:46
established
11:46
for
11:47
so
11:47
long.
11:48
And
11:49
you
11:49
know,
11:49
I
11:49
think
11:49
like
11:50
you
11:50
said,
11:50
if
11:50
this
11:50
starts
11:51
to
11:51
go
11:51
the
11:52
direction
11:52
where
11:52
they're
11:52
just
11:53
merging
11:53
everything
11:53
together,
11:54
there's
11:55
nothing
11:55
as
11:55
a
11:55
shopper
11:56
for
11:56
me.
11:56
There's
11:56
no
11:56
reason
11:57
for
11:57
me
11:57
to
11:57
go
11:58
to
11:58
that
11:58
Whole
11:58
Foods.
11:59
It's
11:59
more
11:59
expensive
12:00
like
12:00
it
12:01
there.
12:01
I
12:01
can
12:01
just,
12:01
I
12:02
can
12:02
go
12:02
to
12:02
Aldi,
12:02
I
12:02
can
12:03
go
12:03
to
12:03
Walmart,
12:04
I
12:04
can
12:04
go
12:04
to
12:04
all
12:04
these
12:04
other
12:05
places
12:05
and
12:05
get
12:05
those
12:06
things.
12:06
If
12:06
you're
12:06
not
12:06
going
12:06
to
12:07
stick
12:07
to
12:07
what
12:08
really
12:09
was
12:09
at
12:09
your
12:10
core
12:11
and
12:12
why
12:12
I
12:12
go
12:12
to
12:12
Whole
12:13
Foods.
12:13
So
12:14
the
12:14
one
12:14
last
12:15
thing
12:15
I'd
12:15
say
12:15
too
12:15
is
12:16
I
12:16
think
12:16
this
12:16
also
12:17
will
12:17
start
12:17
to
12:17
put
12:17
more
12:18
onus
12:18
on
12:19
the
12:19
shopper.
12:20
Because
12:20
when
12:20
I
12:21
go
12:21
into
12:21
Whole
12:21
Foods
12:21
right
12:22
now,
12:22
for
12:22
the
12:22
most
12:22
part
12:22
I
12:23
know
12:23
like
12:23
my
12:23
ingredients
12:24
are
12:24
clean
12:24
source.
12:24
Like,
12:25
I
12:25
don't
12:25
have
12:25
to
12:25
think
12:25
about
12:26
it
12:26
now
12:26
if
12:27
you
12:27
start
12:27
adding
12:28
Doritos
12:28
and
12:29
Pepsi
12:29
and
12:29
all
12:30
kinds
12:30
of
12:30
other
12:30
stuff
12:31
to
12:31
your
12:31
aisles.
12:32
Now
12:32
I
12:32
have
12:32
to
12:33
spend
12:33
time
12:33
in
12:33
the
12:34
aisles
12:34
trying
12:34
to
12:34
discern
12:35
like,
12:35
what
12:36
are
12:36
the
12:36
ingredients
12:36
in
12:36
this
12:37
product,
12:37
Are
12:37
they
12:37
clean?
12:38
Are
12:38
they
12:38
going
12:39
to
12:39
be
12:39
like
12:39
locally
12:40
sourced?
12:40
Now
12:40
I
12:41
have
12:41
more
12:41
work
12:41
to
12:42
do.
12:42
So
12:42
I'm
12:42
just.
12:43
Can
12:43
you
12:43
tell
12:43
I'm
12:43
not,
12:44
not
12:44
a
12:44
big
12:44
fan
12:44
of
12:44
what
12:45
I
12:45
am?
12:45
Yeah,
12:46
I
12:46
can't
12:47
tell
12:47
you're
12:47
not
12:47
a
12:47
big
12:47
fan.
12:48
Although
12:48
I
12:48
do
12:48
want
12:48
to
12:48
push
12:48
you
12:49
a
12:49
little
12:49
bit
12:49
because
12:49
you
12:49
didn't
12:49
actually
12:49
answer
12:50
the
12:50
question.
12:50
You're
12:50
not
12:51
a
12:51
fan
12:51
of
12:51
the
12:51
idea.
12:52
But
12:52
the
12:52
question
12:53
that
12:53
you
12:53
asked
12:53
me
12:53
was
12:54
actually,
12:54
do
12:55
you
12:55
think
12:55
Amazon
12:56
is
12:56
going
12:56
to
12:56
do
12:57
this
12:57
in
12:57
the
12:57
long
12:58
run?
12:58
If
12:58
you
12:58
had
12:58
to
12:58
guess
12:59
right
12:59
now,
12:59
is
12:59
this
13:00
what
13:00
they're
13:00
doing
13:00
or
13:01
is
13:01
this
13:01
the
13:01
Wall
13:01
Street
13:01
Journal
13:02
just
13:02
running
13:02
with
13:03
a
13:03
test
13:03
and
13:04
trying
13:04
to,
13:04
you
13:05
know,
13:05
get
13:05
it
13:05
salacious
13:06
as
13:06
the
13:06
Amazon
13:07
ification
13:07
as
13:07
you
13:07
described
13:08
in
13:08
the
13:08
beginning?
13:08
What
13:09
do
13:09
you
13:09
think?
13:09
I
13:09
do
13:09
think
13:10
that
13:10
this
13:10
is
13:10
what
13:10
the
13:10
Amazon's
13:11
doing.
13:11
I
13:12
think
13:12
they
13:12
think
13:12
that
13:12
they
13:13
have
13:13
to
13:13
make
13:14
this
13:14
is
13:14
like
13:14
the
13:14
last
13:14
ditch
13:15
effort
13:15
for
13:15
the
13:15
grocery
13:16
business,
13:16
that
13:17
of
13:17
Amazon
13:17
and,
13:18
and
13:18
they're
13:18
going
13:18
to
13:18
turn
13:18
Whole
13:19
Foods
13:19
into
13:20
what
13:20
they
13:20
wanted
13:21
Amazon
13:21
Grocery
13:21
to
13:22
be.
13:22
And
13:22
I
13:22
just,
13:23
I
13:23
don't
13:23
think
13:23
it's
13:23
going
13:23
to
13:23
work.
13:24
Wow.
13:25
Okay.
13:25
We
13:25
both
13:25
thought
13:26
the
13:26
same
13:26
thing.
13:26
All
13:26
right,
13:27
headline
13:27
number
13:27
two,
13:27
coffee
13:28
delivery
13:28
is
13:28
now
13:29
a
13:29
$1
13:29
billion
13:30
business
13:31
for
13:31
Starbucks.
13:31
Who
13:32
knew?
13:32
According
13:32
to
13:33
CNBC,
13:34
Starbucks
13:34
said
13:35
last
13:35
week
13:36
that
13:36
its
13:36
annual
13:36
delivery
13:37
sales
13:37
crossed
13:38
the
13:38
Milestone
13:38
in
13:39
fiscal
13:39
2025,
13:40
which
13:41
ended
13:41
on
13:41
September
13:42
30th.
13:42
In
13:42
the
13:42
company's
13:43
fiscal
13:43
fourth
13:43
quarter,
13:44
delivery
13:45
sales
13:45
climbed
13:46
in
13:46
almost
13:47
30%
13:48
compared
13:48
with
13:49
the
13:49
year
13:49
ago,
13:49
period.
13:50
Executive
13:50
said
13:50
30%.
13:51
And
13:51
deliveries
13:52
growing
13:52
30%
13:53
at
13:53
Starbucks.
13:54
And
13:54
I'm
13:55
curious,
13:55
does
13:55
the
13:55
fact
13:55
that
13:55
Starbucks
13:56
now
13:56
sells
13:57
a
13:57
billion
13:57
dollars
13:58
of
13:58
coffee
13:58
a
13:59
year
13:59
via
13:59
delivery
14:00
change
14:01
your
14:01
thinking
14:01
on
14:02
Brian
14:02
Nichols
14:02
turnaround
14:03
strategy?
14:04
No.
14:04
I
14:05
still
14:05
think
14:05
if
14:06
anything,
14:06
this
14:06
tells
14:06
you
14:07
you
14:07
need
14:07
to
14:07
automate
14:08
the
14:08
hell
14:08
out
14:08
of
14:08
your
14:08
business.
14:09
You
14:09
need
14:10
to
14:11
figure,
14:11
you
14:12
need
14:12
to
14:12
like
14:13
shift
14:13
gears
14:14
from
14:14
this
14:14
like
14:15
coffee
14:15
shop
14:15
experience
14:16
and
14:16
look
14:16
at
14:16
the
14:17
potential
14:17
growth
14:17
on
14:18
your
14:18
hands
14:18
here.
14:19
Bring
14:19
back
14:19
the
14:19
pickup
14:20
only
14:20
stores
14:20
don't
14:21
even
14:21
put
14:21
a
14:21
storefront
14:22
in
14:22
front
14:22
of
14:22
them.
14:22
They
14:22
could
14:22
just
14:23
be
14:23
ghost
14:23
kitchen
14:24
coffee
14:24
making
14:25
operations
14:26
where
14:26
everything's
14:27
automated
14:28
so
14:28
that
14:28
you
14:28
can
14:28
get
14:29
things
14:29
to
14:29
customers
14:30
quickly.
14:32
And
14:32
that's
14:33
because
14:33
they
14:33
know
14:33
they're
14:34
going
14:34
to
14:34
get
14:34
exactly
14:35
what
14:35
they
14:35
want
14:36
every
14:36
single
14:36
time
14:37
they
14:37
order
14:37
Starbucks,
14:38
not
14:38
just
14:38
for
14:39
coffee,
14:39
but
14:39
also
14:40
food.
14:40
They
14:40
said
14:40
40%
14:41
of
14:41
these
14:41
orders
14:42
are
14:42
including
14:42
food
14:43
because
14:43
you
14:43
have
14:44
to
14:44
help
14:44
people
14:44
justify
14:45
those
14:45
delivery
14:45
costs.
14:46
And
14:47
I
14:47
think
14:47
what
14:47
this
14:48
is
14:48
showing
14:48
me
14:48
is
14:49
that
14:49
it
14:49
already
14:50
is
14:50
being
14:50
delivered
14:51
and
14:51
accurately
14:52
and
14:52
in
14:53
good
14:53
condition.
14:54
Like
14:54
the
14:54
coffee
14:54
still
14:55
hot.
14:55
So
14:56
how
14:56
do
14:56
you
14:56
keep
14:56
that
14:57
engine
14:57
going?
14:57
And
14:58
that
14:58
to
14:59
me
14:59
is
14:59
what
14:59
I
15:00
would
15:00
be
15:00
focused
15:00
on
15:00
if
15:01
I
15:01
was
15:01
Brian
15:01
Nichol
15:01
and
15:02
team
15:02
at
15:02
Star
15:03
at
15:03
Starbucks.
15:03
But
15:04
what,
15:04
what
15:05
about
15:05
you?
15:05
I
15:05
mean,
15:05
does
15:05
this
15:05
change?
15:06
You're,
15:06
you're
15:06
pro
15:07
coffee
15:07
shop
15:08
where,
15:08
what
15:08
do
15:08
you
15:08
think
15:08
this
15:09
has?
15:09
What
15:09
impact
15:10
do
15:10
you
15:10
think
15:10
this
15:10
has?
15:11
I
15:11
am,
15:11
but
15:11
I
15:12
am,
15:13
but
15:13
I
15:13
think
15:13
I'm
15:13
changing.
15:13
I'm
15:14
coming
15:14
to
15:14
come
15:14
into
15:14
your
15:14
side
15:15
a
15:15
little
15:15
bit
15:15
more.
15:15
I
15:15
think
15:16
there's
15:16
some
15:16
nuance
15:16
to
15:16
the
15:16
argument
15:17
though.
15:17
But
15:17
like
15:18
I
15:18
think
15:18
this
15:18
is
15:18
the
15:18
bullet
15:19
in
15:19
the
15:19
chamber
15:19
for
15:19
your
15:19
argument,
15:20
for
15:20
what
15:20
you've
15:21
long
15:21
espoused
15:22
on
15:22
this
15:23
show.
15:24
You
15:24
know,
15:24
because
15:25
with
15:25
30%,
15:26
that's
15:26
just,
15:27
that
15:27
just
15:27
tells
15:27
me
15:28
30%
15:28
growth
15:28
rate
15:29
and
15:29
delivering
15:29
a
15:29
billion
15:29
dollar
15:29
business,
15:30
that
15:30
just
15:30
tells
15:30
me,
15:30
like
15:30
you
15:31
said,
15:31
there's
15:31
just
15:31
a
15:31
hell
15:31
of
15:31
a
15:31
lot
15:32
of
15:32
people
15:32
that
15:32
want
15:32
their
15:32
coffee.
15:33
They
15:33
don't
15:33
want
15:34
the
15:34
Starbucks
15:34
experience.
15:35
It's
15:35
absolutely
15:35
meaningless
15:36
to
15:36
them.
15:36
They
15:36
just
15:37
want
15:37
the
15:37
addiction.
15:37
They
15:38
just
15:38
want
15:38
the
15:38
product
15:38
that
15:38
they
15:39
love.
15:39
So,
15:40
you
15:40
know,
15:40
I
15:40
think
15:41
you're
15:41
right.
15:41
You
15:41
got
15:41
to
15:41
go
15:41
the
15:42
way
15:42
of
15:42
like
15:42
dark
15:43
cafes
15:43
and
15:44
figure
15:44
out
15:44
a
15:44
way
15:44
to
15:44
push
15:45
orders
15:45
through
15:45
them.
15:46
The
15:46
other
15:46
point
15:46
I
15:46
hadn't
15:46
thought
15:46
about
15:47
until
15:47
you
15:47
just
15:47
mentioned
15:47
it
15:47
too
15:48
is
15:48
like,
15:48
yeah,
15:49
you
15:49
tried
15:49
the
15:49
mobile
15:49
pickup
15:50
only
15:50
stores
15:50
and
15:50
things
15:51
like
15:51
that.
15:51
But
15:51
like
15:51
you
15:52
didn't
15:52
market
15:52
them.
15:53
Like,
15:53
you
15:53
know,
15:54
like
15:54
how
15:54
did
15:54
you,
15:54
how
15:55
did
15:55
you
15:55
bring
15:55
those
15:55
to
15:55
market?
15:55
How
15:56
did
15:56
you
15:56
tell
15:56
people
15:56
about
15:56
them?
15:57
Because
15:57
like,
15:57
for
15:57
me,
15:59
given
15:59
the
16:00
fact
16:00
that
16:00
now
16:00
when
16:00
I
16:00
go
16:01
to
16:01
the,
16:01
when
16:01
I
16:01
go
16:01
to
16:01
a
16:02
Starbucks,
16:02
I'm
16:03
not
16:03
only
16:03
waiting
16:04
in
16:04
line
16:04
for
16:04
mobile
16:04
pickup
16:05
orders,
16:05
there's
16:05
people
16:06
doing
16:06
delivery
16:07
orders
16:07
too
16:07
that
16:08
are
16:08
waiting
16:08
to
16:08
pick
16:08
up
16:08
their
16:09
orders
16:09
and
16:09
it's
16:09
taking
16:09
a
16:09
lot
16:10
of
16:10
time.
16:10
And
16:10
so
16:11
I'm
16:11
standing
16:11
in
16:11
line
16:11
for
16:12
a
16:12
really
16:12
long
16:12
time.
16:12
And
16:13
so,
16:13
so
16:13
with
16:13
all
16:14
that
16:14
said,
16:14
like
16:14
tell
16:14
me
16:15
that
16:15
there's
16:15
a
16:15
location
16:16
where
16:16
I
16:16
can
16:16
just
16:17
go
16:17
pick
16:17
it
16:17
up
16:17
and
16:18
hopefully
16:18
it's
16:18
faster.
16:19
Yeah,
16:20
I'm
16:20
all
16:20
in.
16:20
But
16:21
with
16:21
that
16:21
said,
16:22
I
16:22
think
16:22
both
16:23
ideas
16:23
can
16:24
be
16:24
true
16:24
at
16:24
the
16:25
same
16:25
time.
16:25
And
16:26
that's
16:26
what
16:26
Omni
16:27
is
16:27
all
16:27
about
16:27
because
16:28
I'm
16:28
still
16:28
going
16:29
into
16:29
Starbucks
16:29
with
16:30
large
16:30
queues
16:31
of
16:31
pickup
16:31
orders,
16:32
but
16:32
the
16:33
stores
16:33
are
16:33
also
16:33
still
16:34
full.
16:34
So
16:35
I
16:35
think
16:35
that's
16:35
a
16:35
dynamic
16:36
here
16:36
at
16:36
play.
16:36
So
16:37
I
16:37
think
16:37
you
16:37
have
16:38
to
16:38
improve
16:38
both.
16:38
But
16:38
what
16:39
this
16:39
tells
16:39
me
16:39
is
16:40
hopefully
16:40
he's
16:41
got
16:41
the
16:41
punchline
16:41
to
16:42
the
16:42
joke
16:42
here
16:42
and
16:42
this
16:42
is
16:43
a
16:43
really
16:43
telling
16:43
statistic
16:44
on
16:44
that.
16:44
And
16:45
my
16:45
hunch
16:45
is
16:45
that
16:45
he
16:46
does.
16:46
But
16:46
the
16:47
other
16:47
point
16:47
of
16:47
this
16:47
is
16:48
I
16:48
think
16:48
it's
16:48
going
16:48
to
16:49
take
16:49
more
16:49
time
16:50
to
16:50
figure
16:50
this
16:51
out
16:51
and
16:51
more
16:52
investment
16:52
to
16:53
figure
16:53
it
16:53
out
16:53
than
16:53
just
16:54
leaning
16:54
in
16:55
on
16:55
the
16:55
stores.
16:56
On
16:56
the
16:56
stores,
16:57
the
16:57
operations,
16:57
you
16:58
know,
16:58
keeping
16:58
the
16:58
employees
16:59
happy,
16:59
which
16:59
I
16:59
think
17:00
is
17:00
the
17:00
right
17:00
starting
17:01
point.
17:01
But
17:02
then
17:02
you've
17:02
got
17:02
to
17:02
figure
17:02
out
17:02
how
17:03
to
17:03
supply
17:03
the
17:03
infrastructure
17:04
to
17:04
make
17:04
this
17:04
happen
17:05
quicker.
17:05
But
17:05
you
17:06
take
17:06
the
17:06
last
17:06
word
17:06
here.
17:06
What
17:07
do
17:07
you
17:07
think?
17:07
Yeah,
17:08
I,
17:08
I
17:08
mean
17:08
I
17:09
don't
17:09
have
17:09
much
17:09
to
17:09
add.
17:09
I
17:10
think
17:10
they,
17:11
they've
17:11
got
17:11
to
17:11
figure
17:12
out
17:12
both
17:12
operations
17:13
if
17:13
they
17:14
are
17:14
going
17:14
to
17:14
do
17:14
it
17:14
that
17:14
way.
17:15
But
17:15
you
17:15
have
17:15
to
17:16
be
17:16
pressing
17:16
the
17:16
gas
17:17
on
17:17
the
17:18
automation
17:19
and
17:19
on
17:19
this,
17:20
keeping
17:20
this
17:20
delivery
17:21
top
17:21
of
17:22
mind
17:22
for
17:22
people.
17:22
Otherwise
17:23
people
17:23
are
17:24
going
17:24
to
17:24
sneak
17:24
up
17:24
and,
17:25
and
17:25
catch
17:25
up
17:25
to
17:25
you
17:26
on
17:26
it
17:26
and,
17:26
and
17:27
that
17:27
profit
17:27
could
17:27
slip
17:28
quickly.
17:29
So,
17:30
so
17:30
yes,
17:31
Brian,
17:32
get
17:32
your,
17:32
get
17:32
your
17:33
coffee
17:33
ghost
17:33
kitchens
17:34
up
17:34
and
17:35
running.
17:35
We're
17:35
ready.
17:35
We're
17:36
ready
17:36
for
17:36
them.
17:37
Yeah,
17:37
we
17:37
are.
17:38
Headline
17:39
number
17:39
three.
17:40
Oreo
17:40
maker
17:41
Mondelez
17:42
plans
17:43
to
17:43
use
17:43
a
17:43
new
17:44
generative
17:44
AI
17:45
tool
17:45
to
17:46
slash
17:46
its
17:46
marketing
17:47
costs.
17:47
According
17:47
to
17:48
Reuters,
17:48
snack
17:49
maker
17:49
Mondelez
17:49
is
17:50
using
17:50
this
17:50
generative
17:51
AI
17:51
tool
17:52
to
17:52
cut
17:52
their
17:53
production
17:53
and
17:53
marketing
17:54
content
17:55
costs
17:55
by
17:55
30
17:56
to
17:56
50%
17:56
in
17:57
executive
17:58
told
17:58
the
17:58
news
17:58
outlet.
17:59
The
17:59
packaged
18:00
food
18:00
manufacturer
18:01
began
18:01
developing
18:01
the
18:01
tool
18:02
last
18:02
year
18:02
with
18:02
it
18:02
firm
18:03
Accenture
18:03
and
18:04
expects
18:04
that
18:05
it
18:05
will
18:05
be
18:05
capable
18:05
of
18:05
making
18:06
short
18:06
TV
18:06
ads
18:07
that
18:07
would
18:07
be
18:07
ready
18:07
to
18:08
air
18:08
as
18:08
soon
18:08
as
18:09
next
18:09
year's
18:09
holiday
18:10
season
18:10
and
18:11
potentially
18:12
for
18:12
the
18:12
2027
18:13
Super
18:13
Bowl.
18:14
Mondelez
18:14
has
18:15
invested
18:15
more
18:15
than
18:16
$40
18:16
million
18:16
in
18:17
this
18:17
tool
18:17
and
18:17
it
18:18
is
18:18
using
18:18
content
18:19
generated
18:19
by
18:19
the
18:19
new
18:20
tool
18:20
on
18:20
social
18:21
media
18:21
for
18:21
its
18:21
Chips
18:22
Ahoy
18:22
cookies
18:22
in
18:22
the
18:22
US
18:23
and
18:23
Milka
18:24
chocolate
18:24
in
18:24
Germany.
18:25
An
18:25
8
18:26
second
18:26
Milka
18:27
video
18:27
shows
18:27
waves
18:27
of
18:28
chocolate
18:28
rippling
18:29
over
18:29
a
18:29
wafer
18:30
along
18:30
with
18:30
different
18:31
backgrounds
18:31
depending
18:32
on
18:32
which
18:32
consumer
18:33
Mondelez
18:33
is
18:34
targeting.
18:35
Mondelez,
18:36
however,
18:36
is
18:36
not
18:37
putting
18:37
human
18:38
likenesses
18:39
in
18:39
its
18:39
AI
18:39
created
18:40
content.
18:41
Chris,
18:41
this
18:41
is
18:42
also
18:42
the
18:42
A
18:42
and
18:42
M
18:42
put
18:43
you
18:43
on
18:43
the
18:43
spot
18:44
question.
18:44
Mondelez,
18:46
they've
18:46
spent
18:47
$40
18:47
million
18:48
to
18:48
get
18:48
to
18:49
the
18:49
point
18:50
of
18:50
AI
18:50
generated
18:51
ads.
18:52
What
18:52
are
18:52
your
18:52
short
18:53
term
18:53
and
18:53
long
18:53
term
18:54
implications
18:55
of
18:55
the
18:56
deep
18:56
pocketed
18:56
big
18:57
brands
18:58
stepping
18:58
out
18:58
from
18:59
the
18:59
pack
18:59
to
19:00
go
19:00
in
19:00
on
19:00
Gen
19:01
AI
19:01
in
19:01
this
19:02
way?
19:02
Wow.
19:02
Okay.
19:03
CPG
19:04
put
19:04
you
19:04
on
19:04
the
19:04
spot
19:05
based
19:05
question.
19:05
All
19:06
right.
19:06
I
19:06
like
19:06
what
19:06
those
19:06
guys
19:07
are
19:07
doing
19:07
here.
19:07
Trying
19:07
to
19:07
put
19:08
me
19:08
on
19:08
the
19:08
spot
19:08
this
19:08
week.
19:08
All
19:09
right.
19:10
Truth
19:10
be
19:10
told.
19:10
And
19:11
I'm
19:12
very,
19:12
very,
19:13
very,
19:13
very.
19:13
I
19:14
think
19:14
that's
19:14
five
19:14
areas
19:15
if
19:15
I'm
19:15
keeping
19:15
score
19:15
at
19:16
home.
19:16
5.
19:16
Leery
19:17
of
19:17
the
19:17
approach
19:17
here.
19:19
I
19:19
think
19:19
it's,
19:19
it's,
19:19
it's
19:20
a
19:20
dangerous
19:20
approach.
19:20
It
19:21
feels
19:21
like,
19:21
feels
19:22
like
19:22
to
19:22
me
19:22
there's
19:22
a
19:23
fast
19:23
approaching
19:23
trap
19:23
here.
19:24
And
19:24
by
19:24
trap,
19:24
I
19:24
mean
19:24
the
19:25
sunk
19:25
cost
19:25
trap.
19:26
And
19:26
the
19:26
reason
19:26
for
19:27
that
19:27
is
19:27
I
19:27
think
19:27
the
19:28
technology
19:28
is
19:28
changing
19:29
too
19:29
Fast,
19:30
that
19:31
a
19:31
$40
19:31
million
19:32
investment
19:32
with
19:32
Accenture
19:33
could
19:33
honestly
19:34
get
19:34
obsoleted
19:35
very
19:35
quickly
19:35
here
19:36
or
19:36
especially
19:36
over
19:36
the
19:37
long
19:37
run.
19:37
So
19:38
I
19:38
think
19:38
the
19:38
right
19:38
approach
19:39
is
19:39
actually
19:39
to
19:39
test
19:39
and
19:40
learn
19:40
your
19:40
way
19:40
in
19:40
with
19:41
various
19:41
providers
19:42
via
19:43
very
19:43
smart,
19:43
controlled
19:44
experiments,
19:45
which
19:45
it
19:45
sounds
19:45
like
19:45
that's
19:46
the
19:46
approach
19:46
they're
19:46
taking
19:47
with
19:47
their
19:47
own
19:47
internal
19:47
tool.
19:48
So
19:48
I
19:48
don't
19:49
understand
19:49
why
19:49
they're
19:50
spending
19:50
$40
19:50
million
19:51
because
19:51
I
19:51
think
19:51
there's
19:52
a
19:52
lot
19:52
of
19:52
improvements
19:53
that
19:53
could
19:53
be
19:54
made
19:54
with
19:54
the
19:54
range
19:55
of
19:55
software
19:55
providers
19:56
that
19:56
we
19:56
encounter
19:57
every
19:57
single
19:57
day
19:58
that
19:58
wouldn't
19:58
cost
19:59
a
19:59
fraction
20:00
of
20:00
that
20:00
amount
20:00
and
20:01
still
20:01
give
20:01
you
20:01
the
20:01
same
20:01
efficacy.
20:02
So.
20:03
So
20:03
given
20:04
how
20:04
many
20:04
competitors
20:04
are
20:05
coming
20:05
into
20:05
the
20:05
fray
20:06
every
20:06
single
20:06
day
20:07
in
20:07
this
20:07
space,
20:08
who's
20:08
to
20:08
say
20:08
there's
20:08
not
20:09
going
20:09
to
20:09
be
20:09
a
20:09
better
20:09
way
20:09
to
20:10
do
20:10
things
20:10
in
20:10
just
20:10
six
20:11
months
20:11
in
20:11
time?
20:12
So
20:12
short
20:12
term,
20:13
I
20:13
think
20:13
it
20:13
definitely
20:14
galvanizes
20:14
the
20:15
CPG
20:15
industry
20:16
to
20:16
think
20:16
about
20:17
AI
20:17
differently.
20:18
That's
20:18
one
20:18
important
20:18
point
20:19
of
20:19
this
20:19
headline.
20:20
But
20:20
long
20:21
term,
20:21
I
20:21
do
20:21
think
20:21
it's
20:22
the
20:22
wrong
20:22
approach.
20:23
Yeah,
20:23
I
20:24
mean,
20:24
I
20:24
think
20:24
that
20:25
the
20:25
other
20:25
part
20:25
of
20:25
this
20:26
is
20:26
you're
20:26
also
20:27
like
20:28
having
20:28
the
20:29
Mondelez
20:29
team
20:30
or
20:30
the
20:30
Accenture
20:31
team
20:31
together.
20:32
Like
20:32
you're,
20:33
you're
20:33
expecting
20:34
that
20:35
generative
20:35
AI
20:36
is
20:36
going
20:36
to
20:36
be
20:36
top
20:37
of
20:37
mind
20:37
for
20:37
these
20:37
teams,
20:38
staying
20:38
on
20:38
top
20:39
of
20:39
trends,
20:39
where
20:39
this
20:40
technology
20:40
is
20:40
going.
20:41
Like,
20:41
I
20:41
just,
20:42
I
20:42
don't
20:42
think
20:42
that's
20:43
a
20:43
tool
20:44
that
20:44
the
20:44
CPGs
20:45
have
20:46
internally.
20:46
They're
20:47
always
20:47
going
20:47
to
20:47
be
20:47
driven
20:48
by
20:48
what
20:49
the
20:49
overarching
20:50
objectives
20:51
are
20:51
for
20:52
their
20:52
brand
20:53
and
20:53
for
20:53
their
20:53
business,
20:54
not
20:55
focused
20:55
on
20:55
the
20:56
development
20:56
and
20:57
staying
20:57
up
20:57
to
20:57
date
20:58
with
20:58
what's
20:58
happening
20:58
with
20:58
the
20:59
technology.
21:00
I
21:00
just
21:00
saw
21:00
a
21:01
Demo
21:01
from
21:01
a
21:01
company,
21:02
Chris,
21:02
this
21:02
week
21:03
called
21:03
Genesis
21:03
X.
21:04
They
21:04
showed
21:05
me
21:05
some
21:05
of
21:05
the
21:06
AI
21:06
demos
21:06
that
21:06
they're
21:07
doing
21:07
with
21:07
their
21:07
technology.
21:08
And
21:08
as
21:09
a
21:09
former
21:09
producer
21:10
of
21:10
these
21:10
commercials,
21:11
I
21:12
am
21:13
astonished.
21:14
Like,
21:14
yeah,
21:15
and
21:15
they
21:15
have
21:15
humans
21:16
in
21:16
the.
21:16
Like,
21:16
they
21:17
have
21:17
humans
21:17
in
21:17
the,
21:18
in
21:18
their
21:18
ads.
21:19
They
21:19
will
21:20
at
21:20
some
21:21
point
21:21
soon
21:21
be
21:22
able
21:22
to,
21:22
like,
21:22
change
21:23
the
21:23
content
21:24
of
21:24
the
21:24
ad
21:25
in
21:25
between,
21:25
like,
21:26
Monday
21:26
night
21:26
to
21:27
Thursday
21:27
Night
21:27
Football.
21:28
Like,
21:28
there
21:28
is
21:29
stuff
21:29
happening
21:29
in
21:29
these
21:30
things
21:30
that
21:30
I
21:30
have
21:30
seen
21:30
with
21:30
my
21:31
own
21:31
eyes
21:31
that
21:31
I'm
21:31
just
21:32
like,
21:32
there
21:32
is.
21:32
And
21:33
if
21:33
you
21:33
gave
21:33
them
21:33
$40
21:34
million
21:35
to
21:35
work
21:35
with,
21:36
like,
21:36
I
21:36
can
21:37
only
21:37
imagine
21:37
what
21:37
they'd
21:38
be
21:38
able
21:38
to
21:38
create
21:39
for
21:39
the
21:39
lifetime
21:40
of
21:40
your
21:40
brand.
21:41
Like,
21:41
it
21:41
just
21:42
doing
21:43
this.
21:43
And
21:43
this
21:44
is
21:44
another
21:44
scenario
21:45
for
21:46
a
21:46
retailer
21:47
or
21:47
a
21:47
brand
21:47
to
21:47
beware.
21:49
This
21:49
is
21:49
a
21:49
buy
21:50
conversation.
21:51
This
21:51
is
21:51
not
21:51
a
21:51
build
21:52
conversation.
21:53
This
21:53
is
21:53
where
21:53
you
21:54
go
21:55
what
21:55
you
21:55
were
21:55
saying
21:55
at
21:56
this
21:56
stage,
21:56
you
21:56
go
21:57
to
21:57
the
21:57
experts
21:58
who
21:58
can
21:58
do
21:58
this
21:59
and
21:59
can
21:59
stay
21:59
on
22:00
top
22:00
of
22:00
the
22:00
trends
22:00
in
22:01
technology
22:02
much
22:02
better
22:02
than
22:03
your
22:03
organization
22:04
is
22:04
going
22:04
to
22:05
be
22:05
able
22:05
to.
22:05
So
22:06
to
22:06
answer
22:06
A&M's
22:07
question,
22:07
I
22:07
definitely
22:07
see
22:08
the
22:08
financial
22:08
use
22:09
case
22:09
for
22:09
this
22:10
technology,
22:10
but
22:11
this
22:11
is
22:11
100%
22:12
a
22:12
scenario
22:13
where
22:13
I
22:13
would
22:13
be
22:13
going
22:14
to
22:14
the
22:14
experts
22:14
and
22:15
not
22:15
trying
22:15
to
22:15
build
22:16
inside
22:16
my
22:17
own
22:17
legacy
22:17
organization.
22:18
Yeah,
22:19
that's
22:19
very,
22:20
very
22:20
well
22:20
said.
22:20
And
22:21
you
22:21
understand
22:21
that
22:21
space
22:21
much
22:22
better
22:22
than
22:22
I
22:22
do.
22:22
So.
22:23
Headline
22:23
number
22:23
four.
22:24
Kroger
22:24
and
22:24
Uber
22:25
Eats
22:25
have
22:25
expanded
22:26
their
22:26
partnership,
22:27
integrating
22:27
restaurants
22:28
directly
22:28
into
22:29
the
22:29
Kroger
22:29
app.
22:30
According
22:30
to
22:31
Chainstore
22:31
Age,
22:31
the
22:31
two
22:32
are
22:32
growing
22:32
their
22:32
partnership
22:33
to
22:33
more
22:33
than
22:33
2600
22:34
stores
22:34
across
22:35
all
22:35
Kroger
22:36
banners.
22:36
In
22:37
addition,
22:37
Kroger
22:37
Boost
22:38
members
22:38
will
22:38
now
22:38
be
22:38
able
22:39
to
22:39
take
22:39
advantage
22:39
of
22:39
an
22:40
extended
22:40
free
22:40
trial
22:41
of
22:41
Uber
22:41
One
22:42
for
22:42
6%
22:43
cash
22:43
back
22:43
and
22:44
automatic
22:44
surge
22:45
savings
22:45
on
22:45
rides,
22:46
$0
22:46
delivery
22:47
fees,
22:47
and
22:47
up
22:47
to
22:48
10%
22:48
off
22:49
all
22:49
Uber
22:49
Eats
22:50
orders.
22:51
Uber
22:51
Eats
22:51
restaurant
22:52
selection
22:52
will
22:52
now
22:53
also
22:53
be
22:53
integrated
22:54
directly
22:54
on
22:54
the
22:54
Kroger
22:55
app,
22:55
allowing
22:56
customers
22:56
to
22:56
place
22:57
their
22:57
weekly
22:57
grocery
22:57
order
22:58
and
22:58
order
22:58
dinner
22:59
from
22:59
their
22:59
local
22:59
restaurant
23:00
of
23:00
choice
23:00
seamlessly
23:01
via
23:02
Kroger's
23:02
app.
23:03
Kroger
23:03
will
23:04
be
23:04
the
23:04
first
23:04
retailer
23:04
on
23:05
the
23:05
platform
23:05
where
23:05
customers
23:06
can
23:06
access
23:06
grocery
23:07
items
23:07
alongside
23:07
hundreds
23:08
of
23:08
thousands
23:08
of
23:08
restaurants
23:09
with
23:09
$0
23:10
delivery
23:10
fees
23:11
and
23:11
reduced
23:11
service
23:11
fees
23:12
for
23:12
all
23:12
Boost
23:12
members.
23:13
And
23:13
what
23:13
do
23:13
you
23:13
think
23:13
of
23:14
the
23:14
idea
23:14
of
23:14
ordering
23:14
restaurant
23:15
delivery
23:15
from
23:15
your
23:16
grocer's
23:16
app
23:17
akin
23:17
to
23:17
how
23:17
Kroger
23:18
is
23:18
doing
23:18
it
23:18
with
23:18
Uber
23:19
Eats?
23:19
I
23:20
love
23:20
it.
23:20
I
23:20
think
23:20
it's
23:20
super
23:21
smart.
23:21
Kroger
23:22
back
23:22
in
23:22
the
23:23
day,
23:23
you
23:23
know,
23:23
when
23:23
Kroger
23:24
opened
23:24
their
23:25
their
23:25
new
23:25
future
23:26
store
23:26
format
23:27
in
23:27
Cincinnati
23:28
and
23:28
they
23:28
had
23:28
a
23:28
food
23:28
hall
23:29
as
23:29
part
23:29
of
23:29
their
23:29
experience,
23:30
this
23:30
was
23:31
something
23:31
that
23:31
they
23:31
were
23:32
working
23:32
on,
23:32
trying
23:33
to
23:33
get
23:33
to
23:33
the,
23:34
the
23:34
point
23:34
of
23:35
where
23:35
they
23:35
could
23:36
service
23:36
customers
23:37
in
23:37
one
23:37
experience,
23:38
both
23:38
from
23:39
their
23:39
everyday
23:39
grocery
23:40
needs
23:40
and
23:40
essentials,
23:41
and
23:42
deliver,
23:43
you
23:43
know,
23:43
hot
23:43
and
23:43
ready
23:44
to
23:44
eat
23:44
food
23:44
from
23:45
one
23:45
of
23:45
their,
23:45
their
23:46
food
23:46
hall
23:46
providers.
23:48
This
23:48
goes
23:48
back
23:49
to
23:49
what
23:49
I
23:49
was
23:49
just
23:49
saying
23:49
in
23:49
the
23:50
last
23:50
episode
23:50
or
23:51
in,
23:51
sorry,
23:51
in
23:51
the
23:51
last
23:51
headline
23:52
too,
23:52
which
23:52
is
23:53
like,
23:53
Uber
23:54
Eats
23:54
is
23:54
the
23:54
better
23:54
player
23:55
here.
23:55
You're
23:55
giving
23:56
unlimited
23:57
options
23:58
to
23:58
your
23:58
customers.
23:59
You're
23:59
now
24:00
able
24:00
to,
24:00
I
24:01
assume,
24:01
share
24:01
data
24:02
with
24:02
Uber
24:02
Eats
24:03
about
24:03
what
24:03
customers
24:04
are
24:04
ordering
24:05
from
24:05
their
24:06
restaurant
24:06
experiences.
24:08
And
24:08
that
24:08
helps
24:08
influence
24:09
the
24:09
kind
24:09
of
24:10
trends
24:10
and
24:10
things
24:10
that
24:11
we'll
24:11
be
24:11
seeing
24:12
in
24:12
on
24:12
the
24:12
shelves
24:13
inside
24:13
Kro
24:13
Kroger.
24:14
So
24:14
I
24:14
think
24:14
from
24:14
an
24:15
operations
24:15
perspective
24:16
like
24:16
that,
24:16
data
24:17
share
24:17
will
24:17
be
24:17
very
24:18
valuable
24:18
for
24:18
both
24:18
of
24:19
them.
24:19
And
24:19
then
24:20
as
24:20
a
24:20
consumer
24:20
like,
24:21
you
24:21
ultimately
24:21
have
24:22
all
24:22
the
24:22
benefits
24:23
of,
24:24
you
24:24
know,
24:24
getting
24:24
all
24:25
of
24:25
these
24:25
things
24:25
done
24:26
in
24:26
one
24:26
order,
24:26
plus
24:27
the
24:27
loyalty
24:28
points
24:28
and,
24:28
you
24:29
know,
24:29
you
24:29
get
24:29
the,
24:29
the
24:30
duplicate
24:31
duplicative
24:31
advantages
24:33
both
24:33
for
24:33
Uber
24:34
Eats
24:34
and
24:35
for
24:35
Kroger.
24:36
They're
24:36
all
24:36
synced
24:37
together
24:37
for
24:37
you,
24:37
so
24:37
there's
24:38
no
24:38
thinking.
24:38
It's
24:38
just
24:39
all
24:39
easy
24:40
button
24:40
for
24:41
the
24:41
consumer.
24:41
So
24:42
I,
24:42
I
24:42
think
24:42
it's
24:43
great.
24:43
Are
24:43
you
24:44
in
24:44
the
24:44
same.
24:44
I
24:44
mean,
24:45
you're
24:45
a
24:45
Door
24:45
Dash
24:45
person.
24:46
So
24:47
if
24:47
you
24:47
had
24:47
a
24:47
Kroger
24:48
near
24:48
you,
24:48
are
24:49
you
24:49
going
24:49
to
24:49
go
24:49
to
24:49
Kroger
24:49
and
24:50
Uber
24:50
Eats
24:50
when
24:51
you're
24:51
in
24:51
scenarios?
24:52
Chris,
24:52
I'm,
24:53
I'm
24:53
surprised
24:53
you're
24:53
curious
24:54
about
24:54
where
24:54
I
24:54
am
24:54
on
24:54
this.
24:54
I
24:54
feel
24:55
like
24:55
I've
24:55
talked
24:55
about
24:55
this
24:55
idea
24:56
on
24:56
the
24:56
show,
24:57
like
24:57
hypothetically
24:58
for
24:58
a,
24:59
you
24:59
know.
25:00
Hypothetically,
25:01
yes,
25:01
that's
25:01
a
25:01
word,
25:01
hypothetically
25:02
for
25:02
a
25:02
really,
25:03
really
25:03
long
25:04
time.
25:04
You
25:04
know,
25:04
I
25:04
think
25:05
I
25:05
love
25:06
this
25:06
idea.
25:06
I
25:07
love
25:07
that
25:07
Kroger's
25:08
the
25:08
first
25:08
one
25:08
doing
25:08
this,
25:09
because
25:09
to
25:09
me,
25:10
like
25:10
you
25:10
said,
25:10
Ann,
25:10
I
25:11
mean,
25:11
this
25:11
is
25:11
what
25:11
you're
25:11
alluding
25:11
to.
25:12
I
25:12
think
25:12
it's
25:12
just
25:12
an
25:12
extension
25:13
of
25:13
the
25:13
subscription
25:14
war,
25:14
you
25:15
know,
25:15
across
25:16
Walmart
25:16
plus
25:17
and
25:17
wherever
25:17
else
25:17
you
25:17
want
25:17
to,
25:18
Amazon
25:18
prime
25:18
everywhere
25:19
else
25:19
you
25:19
want
25:19
to
25:19
go.
25:19
And
25:20
so,
25:20
and
25:20
if
25:20
you
25:21
step
25:21
back,
25:22
it's.
25:22
And
25:22
you
25:22
mentioned
25:23
DoorDash,
25:23
it's
25:23
honestly
25:24
just
25:24
DoorDash's
25:25
double
25:25
dash,
25:26
but
25:26
in
25:26
reverse.
25:27
You
25:27
know,
25:27
you're
25:28
going
25:28
to
25:28
the
25:28
grocery
25:28
store
25:29
first
25:29
and
25:29
then
25:29
getting
25:30
your
25:30
restaurant
25:30
from
25:30
the
25:30
same
25:31
place.
25:31
So,
25:31
yeah,
25:31
why
25:31
wouldn't
25:32
that
25:32
work?
25:32
You
25:32
know,
25:32
and
25:33
probably
25:33
it
25:33
probably
25:33
gets
25:34
you
25:34
more
25:34
traffic
25:34
also
25:35
at
25:35
the
25:35
end
25:35
of
25:36
the
25:36
day
25:36
and
25:36
keeps
25:36
you
25:36
more
25:36
hooked
25:37
into
25:37
the
25:37
subscription
25:38
and
25:38
the
25:38
loyalty
25:38
program
25:38
like
25:39
Boost.
25:39
So.
25:39
So
25:40
I
25:40
think
25:40
this
25:40
is
25:40
brilliant.
25:41
My
25:41
Big
25:41
question,
25:42
though.
25:42
And
25:43
as
25:43
the.
25:44
As
25:44
the
25:45
single
25:45
biggest
25:46
Walmart
25:47
plus
25:47
fan
25:47
out
25:48
there
25:48
in
25:48
America,
25:49
I'm
25:49
giving
25:49
you
25:49
that
25:50
title.
25:50
I'm
25:50
bestowing
25:51
that
25:51
moniker
25:51
on
25:51
you
25:52
today
25:52
as
25:52
the
25:52
single
25:53
biggest
25:53
fan
25:53
of
25:53
Walmart
25:54
plus
25:54
in
25:54
America.
25:55
What
25:56
is
25:56
the
25:56
Over.
25:56
Under
25:56
on
25:57
Walmart's
25:57
response
25:57
to
25:58
this?
25:58
I'm
25:59
placing
25:59
it
25:59
at
25:59
six
25:59
months.
26:00
You
26:00
think
26:00
Walmart
26:01
responds
26:01
with
26:01
something
26:01
similar
26:02
in
26:02
under
26:02
or
26:02
over
26:03
six
26:03
months?
26:04
You
26:04
know,
26:04
I
26:05
think
26:05
it's
26:05
going
26:05
to
26:05
be
26:05
over.
26:07
And
26:07
I
26:07
say
26:07
that
26:08
because
26:09
they've
26:09
had
26:10
the
26:10
chance
26:10
to
26:10
do
26:11
this
26:11
for
26:11
a
26:11
long
26:12
time
26:12
and
26:12
they
26:13
are
26:13
going
26:13
for
26:14
things
26:14
like
26:14
the
26:14
Burger
26:15
King
26:15
partnership.
26:16
They're
26:16
going
26:16
for
26:16
things
26:16
like
26:17
other
26:17
things
26:18
in
26:18
the
26:18
space.
26:19
So
26:19
while
26:19
I
26:19
wish
26:19
it
26:20
would
26:20
be
26:20
under
26:20
six
26:20
months,
26:21
something
26:21
tells
26:22
me
26:22
that
26:22
there's,
26:22
like,
26:23
some
26:23
negotiation
26:24
that's
26:24
still
26:25
in
26:25
the
26:25
works
26:25
that
26:26
will
26:26
make
26:26
this
26:26
a
26:27
little
26:27
bit
26:27
longer
26:28
for
26:28
them.
26:28
But
26:28
what
26:29
are
26:29
you
26:29
taking
26:29
over?
26:29
Under.
26:31
I
26:31
think,
26:31
just
26:31
for
26:31
the
26:31
point
26:31
of
26:32
debate,
26:32
I'm
26:32
gonna
26:32
say.
26:33
I'm
26:33
gonna
26:33
say
26:33
under.
26:33
And
26:34
DoorDash
26:34
has
26:34
already
26:35
been
26:35
rung
26:35
up
26:35
on
26:35
speed
26:36
dial.
26:36
I
26:36
think
26:36
that's.
26:37
That's
26:37
my
26:37
take,
26:38
that
26:38
whoever's
26:39
running
26:39
Walmart
26:39
plus,
26:39
because
26:39
I
26:40
can't
26:40
remember
26:40
who
26:40
it
26:40
is
26:40
because
26:40
Vanessa
26:41
left.
26:41
But.
26:41
But,
26:42
yeah,
26:43
I
26:43
think
26:43
They've
26:43
already
26:44
got
26:44
DoorDash
26:44
on
26:45
speed
26:45
dial
26:45
saying,
26:45
hey,
26:45
can
26:46
you
26:46
do
26:46
the
26:46
same
26:46
thing
26:46
for
26:47
us?
26:47
Let's
26:47
talk
26:47
about
26:47
it.
26:48
That's.
26:48
I
26:48
don't
26:48
know.
26:48
Right?
26:49
That's.
26:49
That's
26:49
my.
26:49
That's
26:50
my
26:50
dream.
26:50
Which.
26:50
Which
26:51
would
26:51
be
26:51
great
26:51
for
26:51
me
26:52
and
26:52
for.
26:52
But
26:53
even
26:53
better.
26:53
Oh,
26:54
God.
26:54
It'd
26:54
be
26:55
great
26:55
for
26:55
me.
26:55
It'd
26:55
be
26:56
great
26:56
for
26:56
me.
26:56
There's
26:56
already
26:56
so
26:57
many
26:57
advantages
26:58
that,
26:59
that.
26:59
Yeah,
26:59
I.
26:59
I
27:00
mean,
27:00
but
27:00
I
27:00
do.
27:01
The
27:01
other
27:01
thing
27:01
is,
27:01
like,
27:02
I
27:02
do
27:02
have
27:02
the
27:03
Uber
27:03
one
27:04
thing
27:04
through
27:04
Delta,
27:05
they
27:05
connected
27:06
those
27:06
partnerships.
27:07
So
27:07
I've
27:07
already
27:08
shifted
27:09
some
27:09
of
27:09
my
27:10
DoorDash
27:11
away
27:11
from
27:12
DoorDash
27:13
into
27:13
Uber
27:14
One.
27:14
Now,
27:14
because
27:15
it
27:15
ain't
27:15
so.
27:16
But
27:16
you.
27:16
I
27:17
know
27:17
a
27:17
subscription
27:18
maven.
27:18
You're
27:18
like
27:18
a
27:18
maven
27:19
of
27:19
subscriptions.
27:19
You
27:20
know
27:20
all
27:20
the
27:20
deals.
27:21
Yes,
27:22
I
27:22
do.
27:22
I
27:22
do
27:23
like
27:23
to
27:23
do
27:23
that.
27:24
All
27:24
right,
27:24
let's
27:24
go
27:24
to
27:25
headline
27:26
number
27:26
five.
27:26
Close
27:26
this
27:27
out.
27:28
Speaking
27:28
of
27:28
delivery,
27:29
grubhub
27:30
users
27:30
can
27:31
now
27:31
also
27:32
order
27:32
groceries.
27:34
According
27:34
to
27:34
Supermarket
27:35
News,
27:35
grubhub
27:36
has
27:36
partnered
27:36
with
27:36
Instacart
27:37
to
27:37
allow
27:37
customers
27:38
to
27:38
order
27:38
groceries
27:39
to
27:39
more
27:39
than
27:39
a
27:39
thousand
27:40
national,
27:41
regional
27:41
and
27:42
local
27:42
retailers
27:43
directly
27:43
through
27:43
grubhub's
27:44
app
27:44
and
27:44
website.
27:45
Under
27:45
the
27:45
arrangement,
27:46
orders
27:46
are
27:47
placed
27:47
on
27:47
grubhub's
27:48
platform,
27:48
but
27:48
fulfilled
27:49
and
27:49
delivered
27:49
by
27:49
Instacart
27:50
shoppers.
27:51
Customers
27:52
can
27:52
access
27:52
the
27:52
service
27:53
by
27:53
selecting
27:53
the
27:53
grocery
27:54
icon
27:54
in
27:54
the
27:55
GrubHub
27:55
and
27:55
app,
27:56
choosing
27:56
a
27:56
nearby
27:57
store
27:57
and
27:57
adding
27:58
items
27:58
to
27:58
their
27:59
cart,
27:59
and
27:59
tracking
27:59
delivery
28:00
in
28:00
real
28:00
time.
28:01
The
28:01
service
28:01
is
28:02
rolling
28:02
out
28:02
starting
28:02
October
28:03
28th
28:04
and
28:04
is
28:04
expected
28:04
to
28:05
be
28:05
available
28:06
nationwide
28:06
by
28:07
the
28:07
end
28:07
of
28:07
the
28:07
week.
28:07
In
28:08
areas
28:08
where
28:08
Instacart
28:09
operates,
28:09
orders
28:10
from
28:10
select
28:11
pharmacies
28:11
will
28:11
also
28:12
be
28:12
added
28:12
in
28:12
the
28:13
coming
28:13
months.
28:13
Chris,
28:13
what
28:14
do
28:14
you
28:14
think
28:14
of
28:14
this
28:15
strange
28:15
bedfellow
28:16
and
28:16
first
28:16
of
28:16
a
28:17
kind
28:17
partnership
28:17
between
28:18
grubhub
28:19
and
28:19
Instacart?
28:19
Oh,
28:20
man.
28:20
And
28:20
my
28:21
first
28:21
inclination
28:21
is
28:22
beware
28:22
of
28:23
Greeks
28:23
bearing
28:24
gifts.
28:24
But
28:24
I'll
28:24
tell
28:24
you
28:25
about
28:25
that
28:25
more
28:25
in
28:26
a
28:26
second
28:26
because
28:27
my
28:27
first
28:27
takeaway
28:28
is
28:29
that
28:30
these
28:30
last
28:30
two
28:30
headlines,
28:31
particularly
28:32
this
28:32
one
28:32
and
28:32
the
28:32
one
28:32
prior,
28:33
they
28:33
show
28:34
the
28:34
rise
28:34
of
28:34
what
28:35
we've
28:35
long
28:35
talked
28:35
about
28:36
on
28:36
this
28:36
show,
28:36
which
28:36
is
28:36
that
28:37
the
28:37
third
28:37
party
28:37
delivery
28:38
providers
28:38
are
28:38
being
28:39
pushed
28:39
into
28:39
playing
28:40
more
28:40
of
28:40
a
28:40
white
28:40
label
28:41
service
28:41
positioning
28:42
throughout
28:42
the
28:43
market.
28:43
I
28:43
think
28:43
we're
28:43
going
28:43
to
28:44
continue
28:44
to
28:44
see
28:44
that.
28:44
We've
28:44
talked
28:45
about
28:45
it.
28:45
I
28:45
feel
28:45
like
28:45
I
28:45
talk
28:45
about
28:46
it
28:46
every
28:46
week
28:46
at
28:46
this
28:46
point
28:46
and
28:47
it's
28:47
just
28:47
more
28:47
evidence
28:48
that
28:48
it's
28:48
coming.
28:49
So
28:49
that's
28:49
point
28:49
one.
28:50
Point
28:50
two
28:50
though,
28:50
getting
28:51
back
28:51
to
28:51
the
28:51
Greeks
28:51
bearing
28:52
gifts,
28:52
the
28:53
partner
28:53
here
28:53
is
28:54
really
28:54
fascinating
28:54
to
28:55
me.
28:55
And
28:56
because
28:56
Wonder,
28:57
AKA
28:57
Mark
28:58
Laurie's
28:58
super
28:59
app
28:59
for
28:59
meal
29:00
planning,
29:00
owns
29:01
grubhub.
29:02
So
29:02
if
29:02
I'm
29:02
instacart,
29:03
I'm
29:03
stepping
29:03
back
29:04
strategically
29:04
and
29:04
I'm
29:05
saying,
29:05
why
29:05
the
29:06
heck
29:06
would
29:06
I
29:06
do
29:07
this?
29:07
Why
29:07
would
29:08
I
29:08
give
29:08
a
29:08
leg
29:08
up
29:09
to
29:09
someone
29:09
that
29:10
eventually
29:10
wants
29:10
to
29:10
disintermediate
29:12
me
29:12
in
29:12
his
29:13
grand
29:13
designs
29:14
on
29:14
how
29:14
to
29:14
attack
29:15
the
29:15
marketplace?
29:16
And
29:16
also
29:17
why
29:17
would
29:17
I
29:18
throw
29:18
a
29:18
grubhub,
29:19
one
29:19
of
29:19
my
29:19
competitors,
29:20
a
29:20
lifeline
29:21
like
29:21
this?
29:21
Grubhub
29:22
has
29:22
been
29:22
flailing
29:23
for
29:23
years.
29:23
I
29:24
mean,
29:24
it's
29:24
been,
29:24
you
29:25
know,
29:25
bought
29:25
and
29:25
sold
29:25
multiple
29:26
times
29:26
just
29:26
over
29:26
the
29:26
last
29:27
five
29:27
years.
29:27
So,
29:28
so
29:28
if
29:28
I
29:28
step
29:29
back
29:29
and
29:29
I
29:29
just
29:30
look
29:30
at
29:30
this
29:30
from
29:30
like
29:31
the
29:31
landscape
29:32
perspective,
29:32
this
29:33
is
29:33
the
29:33
same
29:33
essentially
29:34
as
29:34
Instacart
29:35
providing
29:35
delivery
29:36
for
29:36
Door
29:37
Dash
29:37
and
29:38
vice
29:38
versa.
29:39
So
29:39
like,
29:39
I
29:39
just
29:40
don't
29:40
understand
29:40
why
29:40
Instacart
29:41
would
29:41
do
29:41
this.
29:41
I
29:41
don't
29:42
understand
29:42
their
29:42
incentives
29:43
and
29:44
I
29:44
question
29:45
the
29:45
move
29:45
wholeheartedly.
29:46
And
29:46
I,
29:47
and
29:47
I,
29:47
I
29:47
wonder
29:47
too
29:48
if
29:48
there
29:48
isn't
29:48
something,
29:49
something
29:50
else
29:50
at
29:50
play
29:50
here,
29:50
like
29:51
strategically
29:51
where
29:52
Mark
29:52
Laurie
29:52
is
29:52
like,
29:52
kind
29:53
of
29:53
baited
29:53
the
29:53
hook
29:54
with
29:54
Instacart
29:54
and
29:55
been
29:55
like,
29:55
hey,
29:55
you
29:55
can
29:55
acquire
29:56
us
29:56
because
29:56
we're
29:56
going
29:56
to
29:56
create
29:56
the
29:57
super
29:57
app
29:57
for
29:57
meal
29:57
time,
29:58
you
29:58
know,
29:58
help
29:58
us
29:58
get
29:58
it
29:58
on
29:59
board
29:59
and,
29:59
and
30:00
it
30:00
sounds
30:00
really
30:01
sexy
30:01
and
30:01
you
30:01
should
30:01
do
30:01
it
30:02
with
30:02
me
30:02
and
30:02
then,
30:02
you
30:02
know,
30:03
God
30:03
knows
30:03
what
30:03
happens
30:04
from
30:04
there.
30:04
But
30:04
I
30:04
wouldn't.
30:05
I,
30:05
you
30:05
know,
30:06
very
30:06
well
30:06
could
30:06
be
30:06
at
30:06
play
30:07
knowing,
30:07
knowing
30:07
him
30:08
and
30:08
knowing
30:08
the
30:08
history
30:08
of
30:08
how
30:09
he
30:09
does
30:09
things.
30:10
That
30:10
makes
30:11
the
30:11
most
30:11
sense
30:11
out
30:12
of
30:12
all
30:12
this.
30:12
I
30:12
mean,
30:12
the
30:13
other
30:13
thing
30:13
that
30:13
I
30:13
don't
30:14
understand,
30:14
the
30:14
other
30:14
angle
30:15
that
30:15
we
30:15
didn't
30:15
talk
30:16
about
30:16
yet,
30:16
is
30:16
that
30:16
Amazon
30:17
prime
30:17
members
30:17
also
30:18
get
30:18
a
30:18
free,
30:18
free
30:18
grubhub
30:19
membership.
30:20
So
30:20
to
30:20
me,
30:20
that
30:20
feels
30:21
like
30:21
it.
30:22
There
30:22
some
30:22
conversation
30:23
between
30:24
Amazon
30:25
seems
30:25
like
30:25
it
30:25
would
30:26
have
30:26
been
30:26
something
30:27
that
30:27
might
30:27
happen
30:28
before
30:28
we
30:29
saw
30:29
this
30:29
headline.
30:30
It
30:30
seems
30:31
like
30:31
that
30:31
would
30:31
have
30:31
been
30:31
a
30:31
good
30:31
defensive
30:32
moat
30:32
for
30:32
Amazon,
30:33
but
30:34
apparently
30:34
not.
30:35
Apparently
30:35
Mark
30:35
Laurie
30:36
is
30:36
working
30:36
his
30:36
magic
30:37
in
30:37
the
30:37
background.
30:38
Chris.
30:38
And
30:38
Instacart
30:39
is
30:40
who
30:40
he
30:40
wants
30:40
to,
30:41
to
30:41
be
30:42
linked
30:43
in
30:43
with
30:43
for
30:43
this,
30:44
this
30:44
partnership.
30:45
Yeah,
30:45
God
30:45
knows
30:46
where
30:46
it's
30:46
going
30:46
to
30:46
go.
30:46
All
30:47
right,
30:47
let's
30:47
get
30:47
to
30:47
the
30:47
lighting
30:47
around
30:48
and
30:48
I'm
30:48
excited
30:48
for
30:49
this
30:49
one.
30:50
All
30:50
right,
30:50
Chris.
30:51
Laura
30:51
Harvey,
30:52
head
30:52
coach
30:52
of
30:52
the
30:53
Seattle
30:53
Rain
30:53
Football
30:54
Club,
30:54
said
30:55
this
30:55
week
30:55
that
30:55
she
30:56
used
30:56
ChatGPT
30:57
to
30:57
help
30:57
come
30:57
up
30:57
with
30:57
a
30:58
new
30:58
defensive
30:58
strategy
30:59
that
30:59
she
31:00
actually
31:00
deployed
31:01
and
31:01
actually
31:02
helped
31:02
the
31:03
team
31:03
win
31:04
their
31:04
game.
31:04
What
31:05
was
31:05
the
31:05
last
31:05
thing
31:05
you
31:06
use
31:06
ChatGPT
31:07
for
31:07
that
31:08
resulted
31:08
in
31:08
a
31:08
surprising
31:09
positive
31:09
outcome?
31:10
Oh,
31:11
wow.
31:11
That.
31:11
That's
31:11
actually
31:12
easy
31:12
ad.
31:12
It's
31:13
going
31:13
to
31:13
be
31:13
a
31:13
boring
31:13
answer
31:14
for
31:14
our
31:14
listeners.
31:14
But.
31:15
But
31:15
hey,
31:15
that's
31:15
what
31:16
niche
31:16
podcasting
31:16
is
31:16
all
31:17
about,
31:17
is
31:17
about
31:17
random,
31:18
random
31:18
facts
31:19
that
31:19
might
31:19
interest
31:19
people.
31:19
So
31:20
I
31:20
actually
31:20
used
31:21
it
31:21
for
31:21
this
31:21
podcast
31:22
to,
31:22
to
31:22
understand
31:23
how
31:23
this
31:23
microphone
31:24
works.
31:24
Did
31:24
you
31:24
know
31:24
there's
31:24
this,
31:25
like,
31:25
button
31:25
on
31:25
the
31:25
bottom
31:26
of
31:26
our
31:26
microphones
31:27
that
31:27
you
31:27
can
31:27
push
31:27
one
31:28
way
31:28
or
31:28
the
31:28
other?
31:28
And
31:28
I
31:28
had
31:29
no
31:29
idea
31:29
what
31:30
either
31:30
of
31:30
those
31:30
things
31:30
meant.
31:31
And
31:31
so
31:31
I
31:31
looked
31:31
it
31:31
up
31:31
and
31:32
figured
31:32
out
31:32
which
31:32
way
31:33
I
31:33
should
31:33
have
31:33
it.
31:34
Have
31:34
it
31:35
set
31:35
up
31:35
for.
31:35
So,
31:35
yeah,
31:36
it
31:36
helped
31:36
me
31:36
with,
31:36
with
31:36
my
31:37
sound
31:37
production
31:37
for
31:37
today's
31:38
podcast.
31:38
Hopefully
31:38
everyone's
31:39
enjoying
31:39
it.
31:39
It.
31:39
I'm
31:40
glad
31:40
that
31:40
it
31:40
resulted
31:41
in
31:41
positive,
31:42
a
31:42
positive
31:43
impact
31:43
for
31:43
this
31:44
podcast,
31:44
Chris.
31:46
All
31:46
right.
31:46
And
31:46
Jonathan
31:47
Bailey
31:47
of
31:47
Wicked
31:48
fame
31:48
was
31:49
recently
31:49
named
31:50
people's
31:50
Sexiest
31:51
Man
31:51
Alive,
31:52
a
31:52
pick
31:52
I
31:53
happen
31:53
to
31:53
agree
31:53
with.
31:54
Do
31:54
you,
31:54
however,
31:55
agree
31:56
with
31:56
this
31:56
pick?
31:57
I
31:57
do.
31:58
I
31:59
preferred
31:59
him
32:00
as
32:00
Anthony
32:01
in
32:01
Bridgerton.
32:02
He
32:03
is
32:03
a
32:03
very
32:03
handsome
32:04
man.
32:04
I
32:04
do
32:05
like
32:05
his
32:05
character
32:05
better
32:06
in
32:06
Bridgerton.
32:06
It's
32:07
a
32:07
little.
32:07
He's
32:07
a
32:07
little
32:08
more,
32:08
like,
32:09
adventurous
32:09
and
32:10
risque
32:11
in
32:11
that
32:11
show.
32:12
So
32:12
I
32:12
think
32:12
that's
32:13
what
32:13
they
32:13
should
32:13
be
32:13
using
32:14
as
32:15
his
32:15
Sexiest
32:16
man
32:16
Alive.
32:16
Not
32:16
in
32:17
reference
32:17
to
32:17
his
32:18
role
32:18
in
32:18
Wicked
32:18
personally,
32:19
but.
32:19
But
32:20
yes.
32:20
Good
32:20
pick,
32:21
Good
32:21
pick.
32:22
It's
32:22
interesting.
32:23
I
32:23
never
32:23
thought
32:23
about
32:23
the
32:23
promotional
32:24
timing.
32:24
Between
32:24
Wicked
32:25
and
32:25
him
32:25
being
32:25
named
32:26
the
32:26
sexiest
32:26
man
32:26
alive,
32:27
I
32:27
wonder
32:27
what.
32:27
Wonder
32:28
what
32:28
happens
32:28
there.
32:28
That's
32:29
a
32:29
curious
32:29
little
32:29
factor
32:30
I
32:30
didn't
32:30
think
32:30
about
32:30
before.
32:32
All
32:32
right,
32:33
question
32:33
number
32:33
three.
32:34
John
32:34
Lewis
32:34
is
32:35
opening
32:35
the
32:35
John
32:36
Lewis
32:36
Lounge
32:37
exclusively
32:38
for
32:38
my
32:38
John
32:38
Lewis
32:39
loyalty.
32:39
So
32:39
scheme
32:40
members,
32:40
upon
32:41
arrival,
32:41
guests
32:42
will
32:42
be
32:42
welcomed
32:42
with
32:42
a
32:43
complimentary
32:43
coffee
32:44
or
32:44
glass
32:44
of
32:44
sparkling
32:45
wine
32:45
alongside
32:46
Waitrose
32:46
chocolates
32:47
and
32:47
the
32:48
option
32:48
to
32:48
enjoy
32:49
hand
32:49
and
32:50
arm
32:50
massages.
32:51
Chris,
32:51
would
32:51
this
32:52
be
32:52
enough
32:52
to
32:52
get
32:52
you
32:53
into
32:53
John
32:53
Lewis
32:54
for
32:54
your
32:54
holiday
32:54
shopping?
32:56
Nope.
32:56
Nope.
32:57
I'm
32:57
100
32:58
out
32:58
on
32:58
anything
32:59
with
32:59
the
32:59
words
32:59
hand
33:00
massages
33:00
and
33:01
100
33:02
out.
33:02
Nope,
33:03
no
33:03
hand
33:03
massages
33:04
for
33:04
me.
33:05
Oh,
33:05
I
33:06
would.
33:06
I.
33:07
That's
33:08
like
33:08
my
33:08
favorite
33:08
thing
33:08
about
33:08
the.
33:10
The
33:10
Paris
33:10
airport.
33:11
They
33:11
have
33:11
like
33:11
the
33:11
Clarence
33:12
massage
33:13
area
33:14
and.
33:15
And
33:15
all
33:15
that
33:15
in
33:16
the
33:16
airport
33:16
so
33:16
that
33:17
you
33:17
can
33:17
get
33:17
your
33:18
hand
33:18
massages
33:18
and
33:19
back
33:19
massages
33:20
and
33:20
facials
33:21
right
33:21
there.
33:21
It's
33:21
perfect.
33:22
I
33:22
would
33:22
definitely
33:23
be
33:23
doing
33:23
it.
33:23
Better
33:23
you
33:24
than
33:24
me.
33:24
Better
33:24
you
33:24
than
33:24
me.
33:25
All
33:25
right,
33:25
last
33:25
one.
33:25
Carly
33:26
Rae
33:26
Jepsen
33:26
is
33:27
reportedly
33:27
pregnant.
33:28
What
33:29
should
33:29
she
33:29
call
33:30
the
33:30
baby?
33:32
I
33:32
said
33:33
they
33:33
should
33:33
call
33:33
the
33:33
baby
33:34
cmb.
33:35
Call
33:36
me
33:36
baby
33:37
in
33:37
honor
33:38
of
33:38
the
33:38
baby's
33:39
father,
33:39
Cole
33:40
mgn,
33:41
who
33:41
apparently
33:41
that
33:42
goes
33:42
by
33:43
those
33:43
three
33:43
letters
33:44
as
33:44
his
33:44
last.
33:45
You're
33:45
joking.
33:46
No,
33:46
Cole
33:47
MGN
33:48
is
33:48
what
33:49
the
33:49
dad
33:49
is.
33:50
So
33:50
cmb,
33:51
Call
33:52
me
33:52
baby
33:53
is
33:53
what
33:53
the
33:53
baby
33:54
should
33:54
be
33:54
named.
33:55
That
33:55
is
33:55
so
33:55
fantastic.
33:56
That
33:56
question
33:57
just
33:57
wrote
33:57
itself.
33:58
Honestly,
33:58
what
33:58
should
33:59
Carly
33:59
Ray
33:59
Jepsen
34:00
call
34:00
the
34:00
baby?
34:00
All
34:01
right,
34:01
today's
34:01
podcast
34:02
was
34:02
produced,
34:02
of
34:02
course,
34:03
with
34:03
the
34:03
help
34:03
of
34:03
Ella
34:03
Seord.
34:04
Ella,
34:05
come
34:05
on
34:05
in
34:05
here.
34:06
Introduce
34:06
yourself
34:06
to
34:06
the
34:06
audience
34:07
and
34:07
as
34:08
our
34:08
resident
34:08
Gen
34:09
Gen
34:09
Z.
34:10
Right?
34:10
You're
34:10
not
34:10
Gen
34:10
Alpha,
34:11
right,
34:11
Ella?
34:11
Gen
34:12
Z.
34:12
All
34:12
right,
34:13
Gen
34:13
Z,
34:13
which
34:13
headline
34:14
won
34:14
today's
34:14
show
34:14
for
34:15
you?
34:15
We're
34:15
curious
34:16
and
34:16
I
34:16
are
34:16
dying
34:16
to
34:17
know.
34:17
Well,
34:17
first
34:17
of
34:18
all,
34:18
Resident
34:18
Gen
34:18
Z
34:18
is
34:19
a
34:19
crazy
34:19
title,
34:19
Chris,
34:20
but
34:20
I
34:20
guess
34:20
I'm
34:21
honored
34:21
to
34:21
live
34:21
up
34:21
to
34:22
it.
34:22
I
34:22
feel
34:23
like
34:23
as
34:23
a
34:23
producer
34:24
listening
34:24
in
34:24
the
34:25
background
34:25
of
34:25
every
34:25
episode,
34:26
I
34:26
definitely
34:26
have
34:27
my
34:27
own
34:27
take
34:27
as
34:28
more
34:28
of
34:28
a
34:28
younger
34:29
consumer.
34:30
So
34:30
I
34:30
don't
34:31
think
34:31
it's
34:31
going
34:31
to
34:31
surprise
34:31
you
34:31
guys
34:32
that
34:32
my
34:32
favorite
34:32
headline
34:33
this
34:33
week
34:33
was
34:34
the
34:34
one
34:34
about
34:35
Starbucks.
34:35
I'm
34:36
definitely
34:36
a
34:36
major
34:37
consumer
34:37
in
34:37
the
34:37
coffee
34:38
realm
34:38
as
34:38
I
34:39
sit
34:39
my
34:39
coffee
34:39
right
34:40
now.
34:40
But
34:41
I
34:41
think
34:41
it
34:41
definitely
34:41
reflects
34:42
how
34:42
we're
34:42
living
34:42
right
34:42
now
34:43
with
34:43
the
34:43
convenience
34:44
factor.
34:44
The
34:45
world
34:45
is
34:45
definitely
34:45
getting
34:45
smarter,
34:46
but
34:47
us,
34:47
as
34:47
consumers,
34:48
we're
34:48
getting
34:48
a
34:48
lot
34:48
lazier,
34:49
too.
34:50
So
34:50
the
34:50
$1
34:51
billion
34:51
in
34:51
delivery,
34:52
not
34:52
surprising
34:53
at
34:53
all,
34:54
I
34:54
think
34:55
I
34:55
personally
34:55
struggle
34:56
where
34:56
I
34:56
stand
34:57
in
34:57
the
34:57
sense
34:58
of
34:58
if
34:59
I'm
34:59
gonna
34:59
go
34:59
out
34:59
to
35:00
get
35:00
a
35:00
coffee,
35:00
that's
35:01
an
35:01
experience
35:01
in
35:01
itself.
35:02
So
35:02
I
35:02
don't
35:02
think
35:03
waiting
35:03
five
35:03
minutes
35:03
is
35:04
the
35:04
biggest
35:04
deal
35:04
in
35:04
the
35:04
world.
35:06
I
35:06
wanted
35:06
that
35:06
convenience
35:07
factor.
35:07
Yes,
35:07
I
35:07
would
35:07
do
35:08
a
35:08
mobile
35:08
order,
35:08
or
35:09
maybe
35:09
I
35:09
would
35:09
get
35:09
it
35:09
delivered,
35:10
but
35:11
I
35:11
also
35:11
love
35:11
sitting
35:12
in
35:12
a
35:12
coffee
35:12
shop.
35:12
So
35:13
when
35:13
I
35:13
hear
35:13
you
35:13
guys
35:13
talk
35:13
about
35:14
getting
35:14
rid
35:14
of
35:14
that,
35:14
I'm
35:14
like,
35:14
wait,
35:15
pause.
35:17
I
35:17
agree.
35:17
Maybe
35:18
there's
35:18
sometimes
35:18
no
35:18
seats,
35:19
but
35:19
I
35:19
do
35:19
love
35:19
going
35:20
out
35:20
to
35:20
get
35:21
a
35:21
coffee
35:21
with
35:21
my
35:21
friends.
35:22
To
35:22
think
35:23
from
35:23
a
35:23
different
35:23
perspective
35:24
as
35:24
well,
35:24
I'd
35:25
say
35:25
coffee
35:25
right
35:25
now
35:26
is
35:26
definitely
35:26
a
35:26
trend.
35:27
So,
35:27
again,
35:27
not
35:27
surprised
35:28
by
35:28
their
35:28
numbers.
35:29
I
35:30
mean,
35:30
you
35:30
see
35:30
middle
35:30
schoolers
35:31
showing
35:31
up
35:31
to
35:31
school
35:32
with
35:32
their
35:32
Starbucks
35:33
coffee.
35:33
It
35:33
might
35:34
not
35:34
even
35:34
be
35:34
coffee.
35:34
It
35:34
might
35:35
be
35:35
a
35:35
tea
35:35
or
35:35
something.
35:35
But
35:35
having
35:36
that
35:36
Starbucks
35:36
with
35:36
them,
35:37
it's
35:37
definitely
35:37
a
35:37
trend.
35:38
And
35:38
I
35:39
think
35:39
Starbucks
35:39
is
35:40
really
35:40
playing
35:40
to
35:40
every
35:40
generation.
35:41
So
35:42
I
35:42
don't
35:42
know.
35:42
I
35:42
think
35:42
if
35:42
I
35:43
was
35:43
going
35:43
to
35:43
deliver,
35:43
I
35:44
would
35:44
deliver
35:44
and
35:44
have
35:44
that
35:45
either,
35:46
like,
35:46
mobile
35:46
pickup
35:47
for
35:47
convenience
35:47
and
35:47
stuff,
35:48
but
35:49
I
35:49
don't
35:49
think
35:49
there's
35:49
anything
35:50
wrong
35:50
with
35:50
waiting
35:50
for
35:51
five
35:51
minutes.
35:51
I
35:51
think
35:51
we're
35:51
getting
35:52
a
35:52
little
35:52
too
35:54
convenience.
35:54
Crazy.
35:55
Wow.
35:55
Producer
35:56
Ella.
35:56
So
35:56
wait,
35:56
I
35:56
want
35:56
to
35:57
make
35:57
sure.
35:57
So.
35:57
So
35:57
you
35:58
actively
35:58
use
35:59
Starbucks
35:59
for
35:59
delivery?
36:01
Sometimes.
36:01
I
36:01
mean,
36:01
it
36:02
definitely
36:02
depends
36:03
on
36:03
what
36:03
I'm
36:04
doing
36:04
that
36:04
day,
36:04
but,
36:05
yeah,
36:06
sometimes.
36:06
Like,
36:06
how
36:07
many
36:07
times
36:07
a
36:07
month?
36:07
Like,
36:08
just
36:08
ballpark
36:08
it.
36:09
Maybe
36:09
six.
36:10
Six
36:11
times
36:11
a
36:11
month.
36:11
And
36:11
wow,
36:12
is
36:13
that
36:13
crazy.
36:14
What
36:14
about
36:14
you
36:14
guys?
36:15
What
36:15
are
36:15
you.
36:16
Like,
36:16
where
36:16
is
36:17
the
36:17
threshold
36:17
for
36:18
expense?
36:18
That's
36:18
my
36:19
question
36:19
for
36:19
you.
36:19
Like,
36:20
is
36:20
this
36:21
when
36:21
you're
36:21
ordering
36:21
delivery
36:22
from
36:22
Starbucks?
36:23
Is
36:23
this
36:24
with
36:24
friends?
36:25
Are
36:25
you.
36:26
Like,
36:27
this
36:27
is
36:27
on
36:27
a
36:27
Saturday.
36:28
You're,
36:29
like,
36:29
about
36:29
to
36:29
go
36:30
out
36:30
and
36:30
run
36:30
errands.
36:31
Like,
36:32
what
36:32
is
36:32
the
36:32
scenario
36:33
and
36:34
how.
36:34
Like,
36:35
where's
36:35
the
36:35
threshold
36:36
where
36:36
you're
36:36
like,
36:37
I'm
36:37
gonna.
36:37
That's
36:38
too
36:38
expensive
36:38
for
36:38
delivery.
36:39
I'm
36:39
gonna
36:39
go
36:39
in
36:39
and
36:39
get
36:40
it.
36:40
That's.
36:40
That's
36:41
an
36:41
interesting
36:41
question.
36:42
It's
36:42
making
36:42
me
36:42
think.
36:43
I
36:43
feel
36:43
like
36:43
it's.
36:44
When
36:44
I'm.
36:44
I'm
36:45
working.
36:45
It
36:45
would
36:45
not
36:45
be
36:46
a
36:46
weekend,
36:46
because
36:46
if
36:46
it's
36:46
a
36:46
weekend,
36:47
I'm
36:47
just
36:47
gonna
36:47
get
36:48
my
36:48
coffee.
36:48
But
36:49
I
36:49
think
36:49
it's
36:49
when
36:49
I'm
36:49
also
36:50
hungry
36:50
because
36:50
I'm
36:51
gonna
36:51
get
36:51
the
36:51
food
36:51
delivered
36:52
as
36:52
well.
36:52
You
36:53
are?
36:53
Okay.
36:53
Because
36:54
otherwise
36:54
I
36:54
can
36:54
just
36:55
make
36:55
my
36:55
coffee
36:55
at
36:55
home
36:55
and
36:55
get
36:56
that
36:56
alone.
36:56
But
36:56
if
36:56
I'm
36:56
craving
36:57
that,
36:57
like,
36:57
ham
36:57
and
36:57
Swiss
36:58
croissant.
36:59
Yes.
36:59
Maybe
36:59
I'll
36:59
get
36:59
it
36:59
delivered.
37:00
That.
37:00
That
37:01
does
37:01
like,
37:02
change
37:02
the
37:02
mindset
37:03
of
37:03
this
37:03
order,
37:03
too,
37:04
I
37:04
think,
37:04
a
37:04
little
37:04
bit.
37:05
And
37:05
that's
37:05
what
37:05
I
37:05
think
37:06
Starbucks
37:06
was
37:06
alluding
37:07
to
37:07
in
37:07
the
37:07
40%
37:08
of
37:08
these
37:08
orders
37:08
include
37:09
food.
37:09
Because
37:10
I
37:10
think
37:10
we
37:10
have
37:10
no.
37:11
And
37:12
I
37:12
won't
37:12
speak
37:12
for
37:12
you,
37:12
Ella,
37:13
but
37:13
I
37:13
assume,
37:13
like,
37:14
you
37:14
have
37:14
no
37:14
problem
37:15
ordering
37:15
food
37:16
via
37:16
doordash.
37:17
And
37:17
so
37:18
that
37:18
expense
37:18
maybe
37:19
is
37:19
not,
37:19
like,
37:20
in
37:20
my
37:20
mind,
37:20
it's
37:21
like,
37:21
okay,
37:21
am
37:21
I
37:22
really
37:22
gonna
37:22
pay
37:23
5,
37:23
$10
37:24
for
37:24
a
37:24
Starbucks
37:25
to
37:25
get
37:25
delivered?
37:26
But
37:26
if
37:26
you're
37:26
ordering
37:27
food
37:27
and
37:27
you're
37:28
thinking
37:28
about
37:28
it
37:28
as,
37:28
like,
37:29
a
37:29
breakfast
37:29
moment
37:30
and
37:30
adding
37:30
the
37:31
coffee
37:31
on,
37:31
that
37:32
kind
37:32
of
37:32
changes
37:32
my
37:33
perspective
37:33
of
37:33
it.
37:34
I
37:34
don't
37:34
know
37:34
if
37:34
that's
37:34
true
37:34
for
37:35
you
37:35
or
37:35
if
37:35
that's
37:36
how
37:36
you're
37:36
thinking
37:36
about
37:36
it
37:36
when
37:37
you're
37:37
ordering,
37:37
like,
37:37
food.
37:38
First,
37:38
100%
37:39
food
37:39
first.
37:39
And
37:40
then
37:40
you
37:40
might
37:40
as
37:40
well
37:40
just
37:40
get
37:41
that
37:41
added
37:41
coffee.
37:41
My
37:42
vanilla
37:42
latte
37:43
with
37:43
oat
37:43
milk,
37:44
of
37:44
course.
37:44
Yeah,
37:45
yeah.
37:45
So,
37:46
Ella,
37:46
last
37:46
question
37:46
then.
37:47
Is
37:47
it,
37:47
like,
37:47
do
37:48
you
37:48
do
37:48
it,
37:48
like,
37:48
habitually
37:49
those
37:49
six
37:49
times?
37:49
Like,
37:49
habitually.
37:50
Like,
37:50
do
37:50
you
37:50
do
37:50
it
37:50
before,
37:51
like,
37:51
recorded
37:52
this
37:52
podcast,
37:52
for
37:53
example,
37:53
because,
37:53
like,
37:54
you
37:54
know,
37:54
you're
37:54
going
37:55
to
37:55
be
37:55
at
37:55
the
37:55
house
37:55
and
37:55
you
37:56
want
37:56
something
37:56
to
37:56
start
37:56
your
37:57
day
37:57
a
37:57
certain
37:57
way,
37:57
like,
37:58
or
37:58
is
37:58
that
37:58
not
37:58
a
37:58
factor
37:59
at
37:59
all?
37:59
No,
37:59
I'd
38:00
say
38:00
it's
38:00
definitely
38:00
spontaneous.
38:01
Like,
38:01
if
38:01
I'm
38:01
sitting
38:01
here.
38:02
Spontaneous,
38:03
yes.
38:03
Like,
38:04
okay,
38:04
I
38:04
need
38:04
it
38:04
right
38:04
now.
38:05
Like,
38:05
it's.
38:05
It's
38:05
a
38:05
quick
38:05
decision.
38:06
All
38:06
right,
38:06
I
38:07
gotta
38:07
start
38:07
doing
38:07
that
38:07
more.
38:08
I've
38:08
only
38:08
tried
38:08
it
38:08
once,
38:08
and.
38:09
Have
38:09
you
38:09
tried
38:09
it
38:09
yet?
38:09
I
38:10
can't
38:10
remember.
38:10
Did
38:10
you
38:10
try
38:10
it?
38:11
Yes,
38:11
we've
38:11
tried
38:12
it
38:12
on
38:12
vacation
38:13
when
38:13
we're
38:14
like,
38:14
you
38:14
know,
38:15
oh,
38:15
just
38:15
want
38:15
to
38:16
sit
38:16
around
38:16
and,
38:17
like,
38:17
have
38:18
coffee
38:18
being
38:18
delivered
38:19
to
38:19
us
38:19
versus
38:20
having
38:20
to,
38:20
like,
38:21
go
38:21
out
38:21
and
38:22
have
38:22
somebody
38:22
make
38:22
a
38:23
run
38:23
and.
38:23
Yeah,
38:24
it's
38:24
great.
38:24
It's
38:24
been
38:25
great.
38:25
The
38:25
coffee's
38:26
been
38:26
hot,
38:26
the
38:26
food's
38:27
been
38:27
available
38:27
and
38:28
ready
38:28
to
38:28
go,
38:28
and
38:28
it's
38:29
a
38:29
quick
38:29
way.
38:29
Like,
38:30
I
38:30
think
38:30
that's
38:31
the
38:31
thing
38:31
about
38:31
Starbucks.
38:32
Everybody
38:32
knows
38:32
it.
38:33
They
38:33
know
38:33
exactly
38:33
what
38:34
they're
38:34
gonna
38:34
get.
38:35
Like,
38:35
Ella
38:35
said
38:36
she's
38:36
got
38:36
that
38:36
ham
38:36
and
38:37
chest
38:37
cheese
38:37
croissant
38:38
that
38:38
she
38:38
likes.
38:38
Like,
38:38
my
38:39
kids
38:39
have
38:39
certain
38:39
things
38:40
that
38:40
they
38:40
like.
38:40
Like,
38:40
one
38:41
order,
38:41
it's
38:41
all
38:41
good
38:42
to
38:42
go
38:42
and.
38:43
And
38:43
I
38:43
get
38:44
my
38:44
coffee,
38:44
which
38:44
I'm
38:45
happy
38:45
about.
38:45
So
38:46
well
38:46
done,
38:46
producer
38:47
Ella,
38:48
first
38:48
appearance
38:48
on
38:49
this
38:49
international
38:50
podcast
38:50
of
38:50
ours.
38:51
So
38:51
well
38:51
done,
38:51
well
38:52
done.
38:52
Thanks
38:52
for
38:52
bringing
38:52
the
38:53
younger
38:53
generation's
38:54
perspective,
38:54
too.
38:55
Always
38:55
important
38:55
for
38:56
our
38:56
listeners.
38:56
Happy
38:57
birthday
38:57
today
38:58
to
38:58
Tatum
38:58
o',
38:59
Neill,
38:59
Tilda
38:59
Swinton,
39:00
and
39:00
to
39:00
my
39:00
personal
39:01
favorite
39:01
all
39:01
time
39:02
bond
39:02
femme
39:03
fatale
39:04
Famke
39:04
Jansen.
39:05
And
39:05
remember,
39:06
if
39:06
you
39:06
can
39:06
only
39:06
read
39:06
or
39:06
listen
39:06
to
39:07
one
39:07
retail
39:07
blog
39:07
in
39:07
the
39:08
business,
39:08
make
39:08
it
39:08
Omnitoc
39:09
only
39:09
retail
39:09
media
39:10
outlet
39:10
run
39:10
by
39:11
two
39:11
former
39:11
executives
39:12
from
39:12
a
39:12
current
39:13
top
39:13
10
39:13
US
39:13
retailer.
39:14
Our
39:14
Fast
39:14
Five
39:15
podcast
39:15
is
39:15
the
39:15
quickest,
39:16
fastest
39:16
rundown
39:16
of
39:16
all
39:16
the
39:17
week's
39:17
top
39:17
news
39:17
and
39:17
our
39:18
daily
39:18
newsletter,
39:18
the
39:18
Retail
39:19
Daily
39:19
Minute,
39:19
tells
39:20
you
39:20
all
39:20
you
39:20
need
39:20
to
39:21
know
39:21
each
39:21
day
39:21
to
39:21
stay
39:21
on
39:22
top
39:22
of
39:22
your
39:22
game
39:22
as
39:22
a
39:23
retail
39:23
executive
39:23
and
39:24
also
39:24
regularly
39:25
features
39:25
special
39:25
content
39:26
that
39:26
is
39:26
exclusive
39:26
to
39:27
us
39:27
and
39:27
that
39:27
Ann
39:28
and
39:28
I
39:28
take
39:28
a
39:28
lot
39:28
of
39:29
pride
39:29
in
39:29
doing
39:29
just
39:29
for
39:30
you.
39:30
Thanks
39:30
as
39:30
always
39:30
for
39:30
listening
39:31
and
39:31
please
39:31
remember
39:31
to
39:31
like
39:32
and
39:32
leave
39:32
us
39:32
a
39:32
review
39:33
wherever
39:33
you
39:33
happen
39:33
to
39:34
listen
39:34
to
39:34
your
39:34
podcast
39:35
or
39:35
on
39:35
YouTube.
39:35
You
39:36
can
39:36
follow
39:36
us
39:36
today
39:36
by
39:36
simply
39:37
going
39:37
to
39:37
YouTube.
39:38
Com
39:39
Omnitalk
39:40
Retail.
39:41
So
39:41
until
39:41
next
39:41
week,
39:42
on
39:42
behalf
39:42
of
39:42
all
39:42
of
39:42
us
39:43
at
39:43
Omnitalk
39:44
Retail,
39:44
on
39:44
behalf
39:44
of
39:45
Anne,
39:45
producer
39:45
Ella
39:46
and
39:46
myself,
39:47
as
39:47
always,
39:47
be
39:47
careful
39:48
out
39:48
there.