Latest / Omni Talk Retail / CVS "Mini-Stores," Google Shopping & Loblaw's Plan To Slap Tariff Labels On U.S. Goods | Fast Five

Transcript

CVS "Mini-Stores," Google Shopping & Loblaw's Plan To Slap Tariff Labels On U.S. Goods | Fast Five · Omni Talk Retail

0:01
The
0:01
Yammetalk
0:02
Fast5
0:02
is
0:02
brought
0:02
to
0:02
you
0:03
with
0:03
support
0:03
from
0:03
the
0:04
A
0:04
and
0:04
M
0:04
Consumer
0:04
and
0:05
Retail
0:05
Group.
0:05
The
0:06
A
0:06
and
0:06
M
0:06
Consumer
0:06
and
0:07
Retail
0:07
Group
0:07
is
0:07
a
0:07
management
0:08
consulting
0:08
firm
0:09
that
0:09
tackles
0:09
the
0:09
most
0:10
complex
0:10
challenges
0:11
and
0:11
advances
0:12
its
0:12
clients,
0:12
people
0:13
and
0:13
communities
0:14
for
0:14
their
0:14
maximum
0:15
potential.
0:15
CRG
0:16
brings
0:16
the
0:17
experience,
0:17
tools
0:18
and
0:18
operator
0:18
like
0:18
pragmatism
0:19
to
0:19
help
0:19
retailers
0:20
and
0:20
consumer
0:21
products
0:21
companies
0:22
be
0:22
on
0:22
the
0:22
right
0:22
side
0:22
of
0:23
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
0:29
are
0:30
opening
0:30
new
0:30
revenue
0:31
streams
0:31
with
0:31
marketplaces,
0:32
dropship
0:33
and
0:33
retail
0:33
media
0:34
and
0:34
succeeding
0:35
with
0:35
Miracle
0:36
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
that's
0:45
mirakl.com
0:47
to
0:47
learn
0:47
more
0:48
and
0:48
Simbi
0:49
Simbee
0:49
powers
0:50
the
0:50
most
0:50
retail
0:51
banners
0:51
in
0:51
the
0:51
world
0:52
with
0:52
today's
0:53
only
0:53
multimodal
0:54
platform
0:54
for
0:54
in
0:54
store
0:55
intelligence.
0:56
See
0:56
how
0:56
Albertsons,
0:57
BJ's
0:57
Spartan
0:58
Nash
0:58
and
0:58
Wakefern
0:59
win
0:59
with
0:59
AI
0:59
and
1:00
automation@simby
1:01
Robotics.com
1:02
that's
1:03
S
1:03
I
1:05
and
1:06
Infios.
1:07
At
1:07
Infios,
1:07
they
1:08
unite
1:08
warehousing,
1:09
transportation
1:09
and
1:10
order
1:10
management
1:11
into
1:11
a
1:11
seamless,
1:12
adaptable
1:13
network.
1:13
Infios
1:14
helps
1:14
you
1:15
stay
1:15
ahead
1:15
from
1:16
promise.
1:16
To
1:17
delivery
1:17
and
1:18
every
1:18
step
1:18
in
1:19
between.
1:19
To
1:20
learn
1:20
more,
1:20
visit
1:20
infios.com
1:22
or
1:22
meet
1:22
them
1:22
at
1:23
Shop
1:23
Talk
1:23
Spring
1:24
in
1:24
Booth
1:24
1908
1:25
and
1:25
see
1:25
how
1:25
they
1:26
relentlessly
1:26
make
1:27
supply
1:27
chains
1:27
better.
1:28
And
1:28
finally,
1:29
Ocampo
1:29
Capital.
1:30
Ocampo
1:31
Capital
1:31
is
1:31
a
1:31
venture
1:31
capital
1:32
firm
1:32
founded
1:33
by
1:33
retail
1:33
executives
1:34
with
1:35
the
1:35
aim
1:35
of
1:35
helping
1:36
early
1:36
stage
1:36
consumer
1:37
businesses
1:37
succeed
1:38
through
1:38
investment
1:39
and
1:39
operational
1:40
support.
1:40
Learn
1:41
more@ocampo
1:42
capital.com
1:44
hello,
1:44
you
1:45
are
1:45
listening.
1:45
To
1:45
Omnitalk's
1:46
Retail
1:46
Fast
1:47
Five,
1:47
ranked
1:47
in
1:47
the
1:48
top
1:48
10%
1:48
of
1:48
all
1:49
podcasts
1:49
globally
1:50
and
1:50
currently
1:50
the
1:50
only
1:51
retail
1:51
podcast
1:52
ranked
1:52
in
1:52
the
1:52
top
1:52
100
1:53
of
1:53
all
1:53
business
1:54
podcasts
1:54
on
1:54
Apple
1:55
Podcasts.
1:55
The
1:56
Retail
1:56
Fast
1:56
Five
1:57
is
1:57
the
1:57
podcast
1:57
that
1:57
we
1:57
hope
1:58
makes
1:58
you
1:58
feel
1:59
a
1:59
little
1:59
smarter,
1:59
but
2:00
most
2:00
importantly,
2:00
a
2:00
little
2:01
happier
2:01
each
2:01
week
2:01
too.
2:02
And
2:02
the
2:02
Fast
2:03
5
2:03
is
2:03
one
2:03
of
2:04
the
2:04
many
2:04
great
2:04
podcasts
2:05
that
2:05
you'll
2:05
find
2:05
from
2:05
the
2:06
Omnitalk
2:06
Retail
2:07
Podcast
2:07
Network
2:07
Network
2:08
alongside
2:08
our
2:08
Retail
2:09
Daily
2:09
Minute,
2:09
which
2:10
brings
2:10
you
2:10
a
2:10
curated
2:11
selection
2:11
of
2:12
the
2:12
most
2:12
important
2:12
retail
2:13
headlines
2:13
every
2:14
morning
2:14
and
2:15
our
2:15
Retail
2:15
Technology
2:16
Spotlight
2:16
series,
2:16
which
2:17
goes
2:17
deep
2:17
each
2:18
week
2:18
on
2:18
the
2:18
latest
2:19
retail
2:19
technology
2:20
trends.
2:20
It's
2:21
March
2:21
12,
2:22
2025.
2:23
I'm
2:23
one
2:23
of
2:23
your
2:23
hosts,
2:24
Anne
2:24
Mazinga.
2:24
And
2:25
I'm
2:25
Chris
2:25
Walton,
2:26
and
2:26
we
2:26
are.
2:26
Here
2:27
once
2:27
again
2:27
to
2:28
discuss
2:28
all
2:28
the
2:28
top
2:28
headlines
2:29
from
2:29
the
2:29
past
2:29
week
2:30
making
2:30
waves
2:31
in
2:31
the
2:31
world
2:31
of
2:31
Omni
2:32
Channel
2:32
retailing.
2:32
And
2:32
Chris
2:34
New
2:34
Sponsor
2:34
Alert.
2:35
Did
2:35
you
2:36
happen
2:36
to
2:36
catch
2:37
that
2:37
at
2:37
the
2:37
beginning?
2:38
I
2:39
know
2:39
infios
2:40
yes.
2:40
Yes.
2:41
Our
2:41
friends
2:41
at
2:41
Infios.
2:42
Yes.
2:42
In
2:42
the
2:43
order
2:43
management
2:43
space.
2:44
Yes.
2:44
Excited
2:45
to
2:45
have
2:45
them
2:45
on
2:45
board.
2:46
Anne.
2:46
I
2:46
know,
2:47
I
2:47
know.
2:47
Infios
2:48
has
2:48
joined
2:48
the
2:48
stable
2:49
supporters
2:49
of
2:49
this
2:50
show
2:50
and
2:50
we
2:51
could
2:51
not
2:51
be
2:52
happier.
2:53
Yeah.
2:53
And
2:53
also
2:54
Ann,
2:54
did
2:54
you
2:54
also
2:54
see
2:55
that
2:55
Simbi
2:55
had
2:56
a
2:56
huge
2:56
announcement
2:56
yesterday
2:57
too?
2:57
Kroger
2:58
announced
2:59
that
2:59
they're
2:59
piloting,
3:00
they're
3:00
doing
3:01
kind
3:01
of
3:01
a
3:01
bake
3:01
off
3:02
with
3:02
them
3:02
and
3:02
another
3:02
provider,
3:03
you
3:04
know,
3:04
to
3:04
prove
3:05
out
3:05
robotics
3:05
in
3:06
70
3:06
stores
3:06
across
3:07
Kroger's
3:07
chain.
3:08
So
3:08
yeah,
3:08
we
3:08
got
3:09
some,
3:09
got
3:09
some
3:09
big
3:10
news
3:10
on
3:10
the
3:10
sponsorship
3:11
front.
3:11
And
3:11
in
3:11
addition
3:11
to
3:11
that,
3:12
we
3:12
got
3:12
some
3:12
special
3:12
guests
3:13
today,
3:13
don't
3:13
we?
3:13
And
3:14
yes,
3:14
we
3:14
do.
3:15
I
3:15
first
3:15
of
3:15
all,
3:15
I
3:15
love
3:16
that
3:16
you're
3:16
comparing
3:17
like
3:17
sponge
3:17
cake
3:18
to
3:18
robotics
3:19
in
3:19
this.
3:19
Somehow
3:19
you
3:20
made
3:20
that
3:20
link
3:20
and
3:22
better
3:22
for
3:22
it.
3:23
Bake
3:24
offs
3:24
are
3:24
always
3:24
good
3:24
because
3:25
bring
3:25
a
3:25
smile
3:25
to
3:25
everyone's
3:26
face
3:26
and
3:26
you
3:26
know
3:26
that.
3:27
Yes.
3:28
Well,
3:29
the
3:29
other
3:29
people
3:30
that
3:30
bring
3:30
smiles
3:30
to
3:31
our
3:31
faces
3:32
are
3:33
those
3:33
joining
3:33
us
3:33
for
3:34
their
3:34
regularly
3:35
scheduled
3:35
monthly
3:35
appearance,
3:36
the
3:36
Alvarez
3:37
and
3:37
Marcel
3:37
consumer
3:37
and
3:37
retail
3:38
groups,
3:38
David
3:39
Schneidman
3:39
and
3:40
Chris
3:40
Creit.
3:41
Chris,
3:41
Dave,
3:42
welcome
3:42
back
3:42
to
3:42
the
3:42
show.
3:43
I
3:43
want
3:43
to
3:44
spend
3:44
a
3:44
quick
3:44
second
3:45
here
3:45
giving
3:45
the
3:45
audience
3:46
a
3:46
quick
3:46
reminder
3:46
about
3:47
each
3:47
of
3:47
you
3:47
and
3:47
your
3:48
backgrounds
3:48
and
3:48
roles
3:49
at
3:49
A
3:49
and
3:49
M.
3:49
So
3:49
Chris,
3:50
let's
3:50
go
3:50
to
3:50
you
3:50
first.
3:52
Yeah,
3:52
thanks
3:52
Andy,
3:53
thanks
3:53
for
3:53
having
3:54
me.
3:54
And
3:54
Chris,
3:55
I'm
3:55
Chris
3:55
Kreitz
3:56
live
3:56
in
3:56
Charlotte,
3:57
North
3:57
Carolina
3:58
at
3:59
A&
3:59
M.
3:59
I
3:59
serve
4:00
some
4:00
of
4:00
our
4:00
largest
4:01
brands
4:01
on
4:02
topics
4:02
like
4:02
merchandising,
4:03
store
4:03
operations,
4:05
store
4:06
formats.
4:06
So
4:07
really
4:07
excited
4:07
to
4:07
be
4:07
back
4:07
on
4:08
the
4:08
podcast.
4:08
Thanks
4:08
for
4:09
having
4:09
me.
4:09
Also,
4:10
one
4:10
of
4:10
my
4:11
favorite
4:12
new
4:12
product
4:13
recommendations
4:14
that
4:14
you
4:14
gave
4:14
us,
4:15
the
4:15
nacho
4:15
protein
4:16
chips
4:16
which
4:16
have
4:17
become
4:17
a
4:17
staple
4:18
in
4:18
our
4:18
household
4:19
after
4:19
your
4:19
last
4:19
appearance
4:20
on
4:21
the
4:21
Fast
4:21
Five.
4:22
Chris,
4:22
I
4:23
love
4:23
it.
4:24
And
4:25
also
4:25
another
4:25
favorite
4:26
food
4:27
related
4:27
fun
4:27
friend,
4:28
double
4:29
chicken.
4:29
Dave,
4:30
welcome
4:30
back
4:30
to
4:30
the
4:30
show.
4:31
How
4:31
are
4:31
you
4:31
doing?
4:32
Give,
4:32
give
4:32
the
4:32
audience
4:33
a
4:33
little
4:33
bit
4:33
of
4:33
your
4:33
background.
4:34
I'm
4:35
great.
4:35
Thanks
4:36
for
4:36
having
4:36
me
4:36
as
4:36
always.
4:38
My
4:38
name
4:39
is
4:39
David
4:39
Schneiman,
4:40
native
4:40
New
4:40
Yorker,
4:40
live
4:41
in
4:41
Austin,
4:41
Texas.
4:42
I'm
4:42
the
4:42
ying
4:43
to
4:43
the
4:43
yang
4:43
with
4:43
Chris.
4:44
He
4:44
focuses
4:45
a
4:45
little
4:45
bit
4:45
more
4:46
on
4:46
retail.
4:47
I
4:47
focus
4:47
more
4:47
on
4:48
consumer.
4:49
Spent
4:49
over
4:50
a
4:50
decade
4:50
in
4:51
industry
4:51
and
4:51
brand
4:52
and
4:52
corporate
4:52
strategy
4:53
and
4:53
with
4:53
Ann
4:54
for
4:54
almost
4:55
four
4:55
years
4:56
focusing
4:57
on
4:57
consumer
4:58
growth
4:59
strategy,
5:00
consumer
5:00
operating
5:01
model
5:01
and
5:02
consumer
5:02
value
5:03
creation
5:03
for
5:03
the
5:03
most
5:03
part.
5:05
And
5:05
can
5:05
you
5:05
guys
5:06
tell
5:06
me
5:06
a
5:06
little
5:06
more
5:06
about
5:06
these
5:07
nacho
5:07
protein
5:08
chips?
5:08
They
5:09
sound
5:09
fantastic
5:10
and
5:10
I
5:10
would
5:10
love
5:10
to
5:10
know
5:11
what
5:11
we're
5:11
talking
5:11
about.
5:12
Yeah,
5:12
I
5:12
was
5:12
gonna
5:12
ask
5:12
that.
5:12
Chris,
5:13
what
5:13
was
5:13
the
5:13
brand?
5:13
What
5:14
was
5:14
the
5:14
brand
5:14
of
5:14
those
5:15
chips.
5:15
I
5:15
don't
5:15
remember.
5:16
Quest.
5:16
Quest
5:17
protein
5:17
chips.
5:18
They
5:18
take.
5:18
Oh
5:18
yeah,
5:18
Quest.
5:19
Yeah,
5:19
that's.
5:20
Yeah,
5:20
they
5:20
take
5:21
whey
5:21
protein,
5:22
deep
5:22
fry
5:22
it
5:22
and
5:23
then
5:23
put
5:23
Doritos
5:24
cheese
5:25
on
5:25
the
5:25
outside
5:26
and
5:26
it's
5:26
20
5:26
grams
5:27
of
5:27
protein
5:27
for
5:27
120
5:28
calories.
5:29
They're
5:29
amazing.
5:30
Did
5:30
you
5:31
know
5:31
that
5:31
they
5:31
also
5:32
now
5:32
have
5:33
like
5:33
Reese's
5:35
Pieces
5:36
and
5:36
M&M's
5:37
and
5:37
cupcakes.
5:38
They
5:38
are
5:38
literally
5:38
going
5:39
all
5:39
in
5:39
on
5:40
every
5:40
type
5:40
of
5:41
snack
5:41
that
5:42
you
5:42
could
5:42
possibly
5:43
want.
5:44
You
5:44
know
5:44
what,
5:44
we
5:44
need
5:44
to
5:44
just
5:45
cancel
5:45
retail
5:46
news
5:46
and
5:46
we
5:46
should
5:46
just
5:47
talk
5:47
high
5:47
protein
5:48
snacks
5:48
for
5:48
the
5:48
rest
5:48
of
5:49
the
5:49
show.
5:49
Is
5:49
that,
5:49
Is
5:50
everybody
5:50
okay
5:51
with
5:51
that?
5:51
Honestly,
5:54
I
5:54
think
5:54
so.
5:55
Or.
5:55
Or
5:55
we're
5:55
just
5:55
making
5:55
an
5:56
overt
5:56
move
5:56
to
5:56
get
5:56
Quest
5:57
as
5:57
our
5:57
other
5:57
sponsor
5:58
for
5:58
the
5:58
Fast
5:58
5
5:59
ad.
5:59
But
6:00
with
6:00
that
6:00
said,
6:00
let's
6:01
get
6:01
to
6:01
today's
6:01
news
6:01
because
6:02
we
6:02
got
6:02
our
6:02
friends
6:02
from
6:02
the
6:02
A
6:03
and
6:03
M
6:03
consumer
6:03
and
6:03
retail
6:04
group
6:04
here
6:04
with
6:04
us
6:04
and
6:04
it's
6:05
always
6:05
our
6:05
favorite
6:05
show
6:06
of
6:06
the
6:06
month
6:06
when
6:06
we
6:06
ever
6:07
we
6:07
have
6:07
them
6:07
on.
6:07
So
6:08
in
6:08
this
6:08
week's
6:08
Fast
6:09
5,
6:09
we've
6:09
got
6:09
news
6:10
on
6:10
Loblaw
6:11
identifying
6:12
US
6:12
made
6:12
products
6:13
at
6:13
shelf
6:14
with
6:14
a
6:14
new
6:14
tariff
6:15
symbol.
6:16
Google
6:16
Shopping's
6:17
new
6:17
AI
6:17
search
6:18
features.
6:18
Rekts
6:19
claims
6:19
that
6:20
it
6:20
has
6:20
reduced
6:21
product
6:21
development
6:21
lead
6:22
times
6:22
by
6:22
over
6:22
60%
6:23
with
6:23
generative
6:24
AI
6:25
and
6:25
Portillo's
6:26
launching
6:26
a
6:26
new
6:27
loyalty
6:27
program
6:28
not
6:28
through
6:28
an
6:28
app,
6:28
mind
6:29
you,
6:29
but
6:29
through
6:30
a
6:30
digital
6:30
wallet.
6:31
But
6:31
we
6:31
begin
6:32
today
6:32
with
6:33
big
6:33
news.
6:33
Or
6:34
maybe
6:34
it's
6:34
really
6:35
mini
6:35
news
6:35
out
6:36
of
6:36
cvs
6:36
and
6:37
I
6:38
see
6:38
what
6:38
you
6:38
did
6:38
there.
6:39
Headline
6:39
number
6:40
one.
6:40
CVS
6:41
is
6:41
rolling
6:41
out
6:42
new
6:42
mini
6:43
adorable
6:44
stores.
6:44
According
6:44
to
6:45
the
6:45
Wall
6:45
Street
6:45
Journal,
6:46
CVS
6:46
Health
6:46
is
6:47
preparing
6:47
to
6:47
open
6:47
dozens
6:48
of
6:48
stores
6:49
offering
6:49
full
6:50
service
6:50
pharmacies
6:51
but
6:51
very
6:52
limited
6:52
retail.
6:53
The
6:53
new
6:53
stores
6:54
will
6:54
be
6:54
on
6:54
average
6:55
less
6:55
than
6:55
5,000
6:56
square
6:56
feet
6:57
or
6:58
not
6:58
even
6:58
half
6:58
the
6:59
size
6:59
of
6:59
a
6:59
typical
6:59
CVS
7:00
location.
7:01
The
7:01
company
7:01
said
7:02
the
7:02
12
7:02
new
7:02
stores
7:03
are
7:03
expected
7:03
to
7:03
open
7:04
over
7:04
the
7:04
next
7:04
year
7:05
in
7:05
cities
7:05
and
7:06
towns
7:06
throughout
7:06
the
7:06
US
7:06
and
7:07
will
7:07
still
7:07
stock
7:07
health
7:08
related
7:08
products
7:09
such
7:09
as
7:09
over
7:09
the
7:10
counter
7:10
cough
7:10
and
7:10
pain
7:11
medications
7:11
or
7:12
first
7:12
aid
7:12
care.
7:13
Missing
7:14
from
7:14
their
7:14
aisles,
7:15
however,
7:15
will
7:15
be
7:15
the
7:16
vast
7:16
array
7:16
of
7:16
consumer
7:17
items
7:17
such
7:17
as
7:18
greeting
7:18
cards,
7:18
groceries,
7:19
nail
7:20
polish
7:20
and
7:20
others
7:21
for
7:22
decades
7:22
that
7:23
have
7:23
been
7:23
a
7:23
staple
7:23
of
7:24
CVS
7:24
and
7:24
other
7:25
national
7:25
drugstore
7:25
change
7:26
chains.
7:27
Sorry,
7:28
Dave,
7:28
let's
7:28
go
7:29
to
7:29
you.
7:29
What
7:30
do
7:30
you
7:30
think
7:30
of
7:30
CVS's
7:31
overt
7:32
move
7:32
to
7:32
mini
7:33
stores?
7:33
What
7:33
do
7:33
you
7:34
think
7:34
that
7:34
signals
7:34
about
7:35
the
7:35
same
7:35
state
7:35
of
7:36
pharmacy
7:36
retailing?
7:38
So,
7:38
so,
7:38
and
7:39
I'm,
7:39
I'm
7:39
quite
7:40
intrigued
7:40
with
7:41
this
7:41
model.
7:41
I
7:42
think
7:42
we
7:42
all
7:42
know
7:42
that
7:43
the
7:43
Drug
7:43
category
7:44
as
7:44
a
7:44
whole
7:45
is
7:45
going
7:46
through
7:46
this
7:46
real
7:46
big
7:46
inflection
7:47
point.
7:47
And
7:47
so
7:48
they
7:48
need
7:48
to
7:48
find
7:48
some
7:49
way
7:49
to,
7:49
to
7:49
innovate.
7:50
And
7:50
separating
7:51
pharmacy
7:52
from
7:52
the
7:52
convenience
7:52
store
7:53
I
7:53
think
7:53
is
7:53
a
7:53
really
7:53
interesting
7:54
idea
7:55
that
7:55
it's
7:55
been
7:55
a
7:56
long
7:56
time
7:56
coming
7:57
in
7:57
the
7:57
industry,
7:57
especially
7:58
here
7:58
in
7:58
America
7:59
as,
7:59
as
7:59
in
7:59
Europe,
8:00
it's,
8:00
it's
8:00
already
8:01
like
8:01
that.
8:01
And
8:01
so
8:02
now
8:03
currently
8:05
the
8:05
drug
8:05
retailers,
8:06
they
8:06
serve
8:06
different
8:07
purposes
8:07
and
8:07
they
8:08
have
8:09
different
8:09
clients
8:11
and
8:11
especially
8:12
in
8:12
less
8:12
urban
8:12
spots.
8:13
In
8:13
urban
8:13
spots
8:13
you
8:14
can
8:14
rationalize
8:15
you
8:16
do
8:16
it
8:16
all
8:17
in
8:17
a
8:17
one
8:18
stop
8:18
shop
8:18
at
8:19
your
8:19
local
8:20
pharmacy
8:21
to
8:21
get
8:21
food
8:22
as
8:22
well.
8:22
But
8:23
in
8:23
more
8:23
suburban
8:24
areas,
8:24
I
8:24
think
8:25
you're
8:25
serving
8:25
different
8:26
clients
8:27
and
8:27
this
8:27
can
8:28
help
8:28
on
8:28
a
8:29
wide
8:29
array
8:29
of
8:29
things.
8:30
It
8:30
can
8:30
reduce
8:31
your
8:31
fixed
8:32
costs
8:32
around
8:32
rent,
8:34
improve
8:34
your
8:34
labor.
8:36
I
8:36
think
8:36
the
8:36
assortment
8:37
will
8:37
have
8:38
a
8:38
huge,
8:39
you
8:39
know,
8:40
positive
8:40
impact
8:41
around
8:42
on
8:42
shelf
8:42
availability
8:43
and
8:43
inventory
8:44
management.
8:45
And
8:46
then
8:46
you
8:46
also
8:46
have
8:46
to
8:46
want
8:47
to
8:47
be
8:47
less
8:48
promotionally
8:48
focused.
8:49
You
8:49
know,
8:50
I'm
8:50
sure
8:50
if
8:50
we
8:50
walk
8:50
into
8:51
not
8:51
even
8:51
a
8:51
cvs,
8:52
but
8:52
really
8:53
any
8:53
drugstore,
8:54
you'll
8:55
see
8:55
there's
8:55
a
8:55
lot
8:56
of,
8:57
of
8:57
your
8:57
standard
8:57
household
8:58
goods
8:58
on
9:00
promotion,
9:01
which
9:01
really
9:02
drives
9:02
down
9:02
your
9:03
profitability
9:05
overall.
9:05
You
9:06
know,
9:06
I
9:06
think
9:06
this
9:07
is
9:07
a
9:07
really
9:07
interesting
9:08
concept.
9:09
I
9:09
would
9:09
be,
9:09
I
9:10
would,
9:10
I
9:10
would
9:10
love
9:10
to
9:10
know
9:11
if
9:11
they're
9:11
having
9:11
some
9:11
sort
9:12
of
9:12
like
9:12
impulse
9:13
buy
9:13
section
9:13
still,
9:14
whether
9:14
that's
9:14
seasonal
9:15
or
9:15
some
9:16
snacking
9:17
or
9:17
some
9:18
sort
9:18
of
9:18
DSD
9:19
piece.
9:19
I
9:19
didn't
9:20
see
9:20
anything
9:20
on
9:20
that.
9:21
That
9:21
would
9:21
be
9:21
something
9:22
that
9:22
I'd
9:22
love
9:22
to
9:23
learn
9:23
more
9:23
about.
9:23
But
9:23
overall,
9:25
I'm
9:25
not
9:25
going
9:25
to
9:25
say
9:25
I'm
9:25
bullish
9:26
right
9:26
now,
9:26
but
9:27
I
9:27
think
9:27
it's
9:27
a
9:27
very
9:28
interesting
9:28
concept
9:29
that,
9:30
that,
9:30
you
9:31
know,
9:31
with
9:31
a
9:31
12
9:31
store
9:32
pilot,
9:32
why,
9:32
why
9:33
wouldn't
9:33
they
9:33
do
9:33
this?
9:34
Right,
9:34
right.
9:34
It
9:35
gives
9:35
them
9:35
a
9:35
way
9:35
to
9:36
like
9:36
you
9:36
were
9:36
saying,
9:36
like
9:37
minimize
9:37
theft,
9:38
minimize
9:39
operations
9:40
and
9:40
promotions
9:41
and
9:41
all
9:41
the
9:41
things
9:42
that
9:42
they
9:42
have
9:42
to
9:42
do
9:43
to
9:43
manage
9:43
that
9:43
front
9:44
end
9:44
of
9:44
the
9:44
store
9:45
and
9:46
really
9:46
focus
9:46
on,
9:47
you
9:47
know,
9:47
what's
9:48
bringing
9:48
them
9:49
revenue
9:50
in
9:50
the,
9:50
in
9:50
the
9:50
near
9:51
term.
9:51
And
9:51
that's,
9:52
you
9:52
know,
9:52
the
9:52
pharmacy
9:53
business,
9:54
the
9:54
over
9:54
the
9:54
counter
9:54
business
9:55
and
9:56
you
9:56
just
9:56
want
9:56
to
9:56
still
9:56
be
9:56
able
9:57
to
9:57
get
9:57
your
9:57
quest
9:57
protein
9:58
chips
9:58
is
9:58
what
9:58
I'm
9:58
hearing
9:59
when
9:59
you
9:59
pick
9:59
up
9:59
your
9:59
prescription.
10:01
Yeah,
10:02
I
10:02
would,
10:03
I
10:04
would
10:04
love
10:04
that.
10:04
I
10:04
love
10:04
the
10:04
big
10:05
bags.
10:06
Yes,
10:06
right.
10:07
Not,
10:07
not
10:08
the
10:08
mini
10:08
grab
10:08
and
10:08
go.
10:09
You
10:09
want
10:09
the
10:09
solid
10:10
size.
10:10
Well,
10:11
we'll,
10:11
we'll
10:11
figure
10:11
out
10:12
how
10:12
they
10:12
can
10:12
make
10:12
a
10:12
CVS
10:13
just
10:13
for
10:13
you,
10:13
Dave.
10:14
But
10:14
I
10:14
mean
10:15
it
10:15
is
10:15
true
10:15
if
10:16
you
10:16
think
10:16
about
10:16
it,
10:16
it's
10:17
an
10:17
intentional
10:18
run
10:18
for
10:19
some
10:19
sort
10:19
of
10:20
medical
10:21
need.
10:22
Unless
10:22
you're
10:22
in
10:23
A
10:23
more
10:23
really
10:23
urban
10:24
area
10:24
where
10:24
it's,
10:25
then
10:25
it's
10:26
a
10:26
little
10:26
bit
10:26
more
10:27
convenient.
10:27
So
10:27
I
10:28
think
10:28
this
10:28
model
10:28
is
10:29
super
10:29
intriguing
10:30
and
10:31
I
10:31
can't
10:31
wait
10:31
to
10:32
experience
10:32
one
10:32
of
10:32
them.
10:33
Right,
10:33
Chris
10:34
Kreitz,
10:34
where
10:34
do
10:34
you
10:34
fall?
10:35
Yeah,
10:36
I
10:36
think
10:36
similar
10:37
in
10:37
line
10:37
with
10:37
what
10:37
Dave
10:38
said,
10:39
I
10:40
think
10:40
there's
10:41
a
10:42
notion
10:42
that
10:43
the
10:43
long
10:43
term
10:44
pharmacy
10:45
model
10:45
needs
10:45
to
10:45
change.
10:46
I
10:46
think
10:46
this
10:46
is
10:47
experimenting
10:47
to
10:48
say
10:48
what
10:48
could
10:49
it
10:49
look
10:49
like?
10:49
I
10:50
think
10:50
the
10:50
only
10:50
thing
10:50
I'd
10:51
build
10:51
to
10:51
what
10:52
Dave
10:52
said
10:52
is
10:53
I
10:54
think
10:54
there's
10:54
some
10:55
testing
10:55
here
10:56
on
10:56
the
10:56
interaction
10:57
between
10:57
the
10:57
front
10:57
end
10:58
in
10:58
the
10:58
pharmacy
10:59
and
10:59
what
10:59
that
11:00
dynamic
11:00
really
11:01
is.
11:01
I
11:01
think
11:01
everyone
11:02
thinks
11:02
the
11:02
pharmacy
11:03
drives
11:03
the
11:03
front
11:04
end
11:04
and
11:04
I
11:04
think
11:05
this
11:05
is
11:05
kind
11:05
of
11:05
testing
11:06
that
11:06
a
11:06
little
11:06
bit
11:07
to
11:07
say
11:07
if
11:08
we
11:08
take
11:08
out
11:08
all
11:09
of
11:09
the
11:09
front
11:09
end,
11:10
is
11:10
there
11:10
any
11:11
adverse
11:12
impact
11:13
on
11:13
the
11:13
pharmacy
11:13
itself,
11:14
which
11:15
would
11:15
be
11:15
the
11:16
downfall
11:16
of
11:16
this
11:17
concept?
11:17
Right.
11:17
If
11:17
you
11:18
start
11:18
losing
11:18
scripts
11:19
because
11:19
people
11:19
want
11:20
to
11:20
be
11:20
able
11:20
to
11:21
get
11:21
multiple
11:21
things
11:21
on
11:22
that
11:22
shopping
11:22
trip,
11:23
then
11:23
this
11:23
concept
11:24
starts
11:24
to
11:24
unravel.
11:25
So
11:25
I
11:25
think
11:25
they're
11:26
testing
11:26
this,
11:26
they're
11:26
testing,
11:27
you
11:27
know,
11:27
some
11:27
other
11:28
formats
11:28
as
11:28
well.
11:28
I
11:29
think
11:29
this
11:29
is
11:29
more
11:29
exploring.
11:30
You
11:31
know,
11:31
can
11:31
we
11:31
still
11:31
keep
11:32
all
11:32
the
11:32
high
11:32
margin
11:33
health
11:34
sales
11:34
on
11:35
the
11:35
retail
11:35
end
11:35
with
11:36
a
11:36
very
11:36
stripped
11:36
down
11:37
assortment?
11:38
How,
11:38
how
11:38
sharp
11:39
can
11:39
we
11:39
get
11:39
with
11:39
our
11:40
assortment
11:40
before
11:41
we
11:41
start
11:41
to
11:41
lose
11:42
those
11:42
sales?
11:43
And
11:43
will
11:43
it
11:44
have
11:44
any
11:44
inverse
11:45
impact
11:45
on
11:45
our
11:45
scripts
11:46
at
11:46
the
11:46
pharmacy
11:47
if
11:47
we
11:47
don't
11:47
have
11:47
a
11:47
massive
11:48
selection
11:48
of
11:49
health
11:49
products?
11:49
So,
11:50
yeah,
11:51
right.
11:51
It's,
11:52
it's,
11:52
it's
11:52
great
11:53
that
11:53
you
11:53
bring
11:53
that
11:54
up,
11:54
Chris,
11:54
because
11:54
I
11:54
think
11:54
it's,
11:55
you
11:55
know,
11:55
really
11:55
balancing
11:56
the
11:56
points
11:56
of
11:56
like,
11:57
we
11:57
know
11:57
there's
11:57
a
11:58
markup
11:58
on
11:59
some
11:59
of
11:59
those,
11:59
you
12:00
know,
12:00
beauty
12:00
products,
12:01
there's
12:01
a
12:01
markup
12:01
on
12:02
the
12:02
food,
12:02
there's
12:02
a
12:02
markup
12:03
on
12:03
those
12:03
convenience
12:04
items
12:04
that
12:04
you're
12:05
talking
12:05
about.
12:06
But
12:06
then
12:06
how
12:06
does
12:07
that
12:07
balance
12:07
with,
12:08
you
12:08
know,
12:08
how
12:08
much
12:08
they're
12:09
losing
12:09
due
12:09
to
12:09
theft,
12:10
how
12:11
much
12:11
the
12:11
real
12:11
estate,
12:12
you
12:12
know,
12:12
per
12:12
square
12:13
foot
12:13
costs
12:13
in
12:13
these
12:14
larger
12:14
CVs
12:15
stores?
12:16
So
12:17
there's
12:17
a
12:17
lot
12:17
going
12:17
on
12:17
there
12:18
that
12:18
you're
12:18
right.
12:18
I
12:18
think
12:18
they'll
12:19
be
12:19
able
12:19
to
12:19
pressure
12:19
test
12:20
here
12:20
with
12:20
those
12:21
12
12:21
stores
12:21
to
12:22
see
12:22
how
12:22
much
12:22
of
12:23
an
12:23
impact
12:23
it
12:23
makes.
12:24
Chris
12:25
Walton,
12:25
you're
12:26
the
12:26
merchant
12:26
of
12:26
the
12:27
group
12:27
here.
12:27
What
12:28
are
12:28
your
12:28
thoughts
12:28
on
12:29
this
12:29
approach
12:30
that
12:30
CVS
12:31
is
12:31
taking
12:31
with
12:31
the
12:31
mini
12:32
stores?
12:32
Yeah,
12:33
I
12:33
mean,
12:33
I,
12:33
I
12:34
don't
12:34
think
12:34
it
12:34
says
12:34
that
12:34
much
12:34
about
12:35
the
12:35
pharmacy
12:35
industry.
12:35
I
12:35
think
12:36
when
12:36
you
12:36
get
12:36
right
12:36
down
12:36
to
12:36
it,
12:37
I
12:37
think
12:37
it's
12:37
just
12:37
a
12:37
smart
12:38
segmentation
12:38
approach.
12:39
And
12:39
so
12:39
I
12:40
kind
12:40
of
12:40
would
12:40
echo
12:40
what
12:41
David
12:41
and
12:41
Chris,
12:42
you
12:42
know,
12:42
were
12:42
saying,
12:42
I
12:42
think,
12:43
you
12:43
know,
12:43
on
12:43
the
12:43
small
12:44
format
12:44
of
12:44
just
12:44
being
12:45
a
12:45
pharmacy,
12:45
basically,
12:46
I
12:46
think
12:46
the
12:46
interesting
12:47
thing
12:47
about
12:47
this
12:47
is
12:47
CVS
12:48
has
12:48
kind
12:48
of
12:48
tested
12:49
this
12:49
already
12:49
by
12:49
way
12:49
of
12:50
their
12:50
relationship
12:50
with
12:50
Target.
12:51
So
12:51
they
12:51
know
12:52
if
12:52
they're
12:52
only
12:52
in
12:53
the
12:53
pharmacy
12:53
business,
12:54
what
12:54
the
12:54
operations
12:55
of
12:55
that
12:55
look
12:56
like
12:56
and
12:56
the
12:56
profitability
12:56
of
12:57
that
12:57
looks
12:57
like.
12:57
So
12:57
that
12:57
gives
12:58
me
12:58
credence
12:58
to
12:58
understand
12:58
that
12:59
they
12:59
know
12:59
what,
12:59
they
12:59
know
13:00
what
13:00
they're
13:00
up
13:00
against.
13:00
But
13:00
to
13:00
Chris's
13:01
point,
13:01
they
13:01
have
13:02
to
13:02
understand
13:02
what
13:02
the
13:02
traffic
13:03
dynamics
13:03
are
13:04
that
13:04
comes
13:04
with
13:05
this
13:05
type
13:05
of
13:05
format.
13:06
But
13:06
the
13:06
other
13:06
thing
13:07
the
13:07
article
13:07
says,
13:08
which
13:08
is
13:08
interesting,
13:08
I
13:08
think
13:08
it's
13:09
important
13:09
to
13:09
point
13:09
out,
13:09
is
13:10
they
13:10
still
13:10
plan
13:10
to
13:11
open
13:11
30
13:11
traditional
13:12
stores,
13:12
which
13:12
is
13:12
three
13:13
times
13:13
the
13:13
amount
13:13
that
13:13
they're
13:14
going
13:14
to
13:14
open
13:14
up
13:14
this
13:15
pilot.
13:15
So
13:16
I
13:16
think
13:16
the
13:16
other
13:16
thing
13:17
that
13:17
I
13:17
call
13:17
out,
13:17
and
13:17
because
13:18
I
13:18
made
13:18
this
13:18
mistake,
13:19
I'm
13:19
interviewing
13:20
CVS's
13:21
chief
13:21
merchant
13:21
at
13:22
Shop
13:22
Talk
13:22
on
13:22
stage
13:23
and
13:23
I
13:23
actually
13:24
made
13:24
the
13:24
mistake
13:24
in
13:24
my
13:24
prep
13:25
with
13:25
him.
13:25
I
13:25
said
13:25
like,
13:25
you
13:25
know,
13:26
but
13:26
the
13:26
pharmacy
13:26
is
13:26
such
13:26
an
13:27
important
13:27
aspect
13:27
of
13:28
the
13:28
traffic
13:28
driving.
13:29
And
13:29
he's
13:29
like,
13:29
no,
13:29
it's,
13:30
it's
13:30
not
13:30
always
13:30
the
13:30
case.
13:31
And
13:31
to
13:31
David's
13:31
point,
13:32
in
13:32
urban
13:32
areas
13:33
it's
13:33
flipped.
13:34
So,
13:34
you
13:34
know,
13:35
the
13:35
pharmacy
13:35
is
13:35
less
13:36
important
13:36
than
13:36
the
13:36
grab
13:36
and
13:37
go.
13:37
So,
13:37
so
13:38
I
13:38
think,
13:38
you
13:38
know,
13:38
it's
13:39
just
13:39
about
13:39
balancing
13:39
that
13:40
out
13:40
and
13:40
understanding
13:40
the
13:40
puts
13:41
and
13:41
the
13:41
takes
13:41
with
13:41
it
13:42
across
13:42
a
13:42
smart
13:42
segmentation
13:43
strategy.
13:43
So
13:44
that's
13:44
what
13:44
this
13:44
is
13:44
all
13:44
about
13:45
to
13:45
me.
13:45
Yeah,
13:46
I
13:46
think,
13:46
I
13:46
think
13:46
the
13:46
only
13:47
thing
13:47
I'd
13:47
add
13:47
here
13:48
at
13:48
the
13:48
end
13:48
is
13:48
that
13:49
they
13:49
also
13:50
still
13:50
have
13:50
the
13:50
advantage
13:51
in
13:51
a
13:51
lot
13:51
of
13:52
places
13:52
of
13:52
being
13:52
the
13:52
only
13:53
place
13:53
that
13:53
you
13:53
can
13:54
go
13:54
to
13:54
get
13:54
your
13:54
prescription
13:55
within
13:55
a
13:56
matter
13:56
of
13:56
minutes
13:56
or
13:57
hours
13:58
where
13:58
there
13:59
is
13:59
not
13:59
same
14:00
day
14:00
delivery
14:00
of
14:01
prescriptions.
14:02
However,
14:02
I
14:02
think
14:03
that's,
14:04
that
14:04
still
14:04
is
14:04
not
14:05
something
14:05
that
14:05
they
14:05
can
14:05
rest
14:06
their
14:07
laurels
14:07
on
14:08
either.
14:08
Because
14:08
I
14:09
think
14:09
we're
14:09
going
14:09
to
14:09
start
14:09
to
14:10
see
14:10
increasing
14:11
same
14:11
day
14:12
delivery.
14:12
We're
14:12
seeing
14:12
that
14:13
with
14:13
Walmart,
14:14
with
14:14
Amazon,
14:15
with,
14:15
you
14:15
know,
14:15
Walgreens.
14:16
And
14:17
if
14:17
as
14:17
those,
14:18
those
14:18
timelines
14:19
get
14:19
reduced
14:20
and
14:20
you're
14:20
starting
14:20
to
14:20
see
14:21
more
14:21
same
14:21
day
14:21
delivery,
14:22
I
14:22
think
14:23
CVS
14:23
being
14:24
the
14:24
place
14:24
where
14:24
they're
14:24
seeing,
14:25
you
14:25
know,
14:25
80%
14:26
of
14:26
traffic
14:26
in
14:27
some
14:27
stores
14:27
is
14:27
due
14:28
to
14:28
the
14:28
pharmacy
14:29
and
14:29
prescription,
14:29
like,
14:30
will
14:30
they
14:30
be
14:30
able
14:30
to
14:31
still
14:31
rely
14:31
on
14:31
that?
14:32
And
14:32
once,
14:32
you
14:32
know,
14:32
if
14:33
you
14:33
have
14:33
a
14:33
small
14:33
format
14:34
that's
14:34
only
14:34
pharmac,
14:35
does
14:35
that
14:36
go
14:36
away
14:36
when
14:37
that
14:37
can
14:37
be
14:37
delivered
14:37
to
14:38
my
14:38
house?
14:38
Especially
14:39
when
14:39
you're
14:39
not
14:39
feeling
14:40
well,
14:40
I,
14:40
I
14:40
think
14:41
that's
14:41
something
14:41
too
14:41
that
14:42
will
14:42
have
14:42
to
14:42
be
14:43
factored
14:43
into
14:43
some
14:43
of
14:44
these
14:44
decisions
14:44
in
14:44
the
14:45
long
14:45
term.
14:46
Yeah,
14:46
and
14:46
hopefully
14:46
they're
14:47
thinking
14:47
about
14:47
that
14:47
in
14:47
the
14:47
design
14:48
of
14:48
this
14:49
prototype
14:49
too.
14:49
Like,
14:50
you
14:50
know,
14:50
the
14:50
fact,
14:50
the
14:51
fact
14:51
that
14:51
it's
14:51
such
14:51
a
14:51
small
14:52
assortment
14:52
should
14:52
make
14:53
the
14:53
delivery
14:53
and
14:53
pickup
14:54
of
14:54
those
14:54
goods
14:55
that
14:55
much
14:55
easier
14:55
to
14:55
operate
14:56
as
14:56
well.
14:56
All
14:56
right,
14:56
so
14:57
headline
14:57
number
14:57
two.
14:58
Loblaw
14:59
plans
14:59
to
14:59
identify
15:00
products
15:00
sourced
15:01
from
15:01
the
15:01
US
15:01
With
15:02
a
15:02
tariff
15:02
symbol
15:03
according
15:04
to
15:04
Canadian
15:04
grocer
15:05
shout
15:05
out
15:05
to
15:05
them
15:06
for
15:06
their
15:06
first
15:06
ever
15:06
Fast5
15:07
appearance.
15:08
And
15:08
Loblaw
15:09
plans
15:09
to
15:09
slap
15:10
a
15:10
new
15:10
T
15:11
symbol
15:12
standing
15:12
for
15:12
tariffs
15:13
on
15:14
labels
15:14
for
15:14
products
15:15
sourced
15:15
from
15:15
America.
15:16
Loblaw
15:17
Companies
15:17
limited
15:18
President
15:19
and
15:19
CEO
15:19
Pear
15:20
bank,
15:20
the
15:21
early
15:21
front
15:21
runner
15:21
for
15:22
best
15:22
retail
15:22
CEO
15:23
name
15:23
in
15:24
human
15:24
history,
15:25
said
15:26
prices
15:26
won't
15:26
rise
15:27
immediately
15:27
as
15:28
a
15:28
result
15:28
of
15:28
Canada's
15:29
counter
15:29
tariffs
15:29
on
15:29
US
15:30
Goods
15:30
like
15:30
poultry,
15:31
dairy
15:31
and
15:31
produce,
15:32
but
15:32
when
15:32
they
15:33
do
15:33
on
15:34
some
15:34
items
15:34
in
15:35
as
15:35
little
15:35
as
15:35
one
15:35
in
15:36
one
15:36
to
15:36
two
15:36
weeks.
15:37
He
15:37
said
15:37
the
15:37
new
15:38
T
15:38
symbol
15:39
will
15:39
help
15:39
Loblaw's
15:40
customers
15:40
make
15:40
informed
15:41
purchases.
15:42
Quote,
15:42
we
15:43
are
15:43
pro
15:43
Canada
15:44
and
15:44
not
15:44
anti
15:45
usa.
15:45
We
15:45
have
15:46
made,
15:46
we
15:46
have
15:46
many
15:47
trusted
15:47
US
15:47
Vendors,
15:48
but
15:48
we
15:49
will
15:49
be
15:49
responsive
15:50
to
15:50
our
15:50
customer
15:51
needs.
15:51
Parabank
15:52
said
15:53
customers
15:54
can
15:54
be
15:54
assured
15:54
that
15:54
when
15:55
tariffs
15:55
come
15:55
off,
15:55
any
15:56
tariff
15:56
pricing
15:57
changes
15:57
will
15:57
be
15:58
entirely
15:58
removed,
15:59
end
15:59
quote.
16:00
Chris
16:00
Crates,
16:01
what
16:01
is
16:01
the
16:02
general
16:02
approach
16:03
you
16:03
are
16:03
seeing
16:03
US
16:04
Retailers
16:04
take
16:05
amid
16:05
all
16:05
this
16:06
tariff
16:06
noise?
16:08
Yeah,
16:08
it's
16:08
a
16:08
great
16:09
question.
16:09
Dominating
16:10
a
16:10
lot
16:10
of
16:10
time
16:11
for
16:12
most
16:12
of
16:12
our
16:12
clients
16:13
right
16:13
now.
16:13
I
16:14
think
16:14
in
16:14
the
16:14
beginning
16:15
scrambled
16:15
to
16:16
figure
16:16
out
16:16
what's
16:17
actually
16:17
impacted.
16:19
As
16:19
you
16:19
think
16:19
about
16:20
working
16:20
with
16:20
vendors,
16:21
with
16:21
manufacturers,
16:22
how
16:22
their
16:23
supply
16:23
chains
16:23
are
16:24
impacted,
16:26
the
16:26
velocity
16:27
of
16:27
new
16:27
updates
16:28
on
16:28
the
16:28
tariffs,
16:29
I
16:29
feel
16:29
like
16:29
every
16:29
day
16:29
I
16:30
get
16:30
a
16:30
new
16:30
text
16:30
that,
16:31
hey,
16:31
this
16:31
has
16:31
changed.
16:33
You
16:33
know,
16:33
you
16:33
have
16:33
the
16:34
Canada
16:34
Mexico
16:35
tariffs,
16:35
you
16:35
have
16:35
the
16:35
China
16:36
import
16:36
tariffs,
16:36
you
16:37
have
16:37
the
16:37
steel
16:37
and
16:38
aluminum
16:38
tariffs.
16:39
There's
16:39
so
16:39
many
16:39
different
16:40
levers.
16:41
There's
16:41
questions
16:42
about
16:42
how
16:42
they'll
16:43
be
16:43
implemented.
16:44
You
16:44
know,
16:44
with
16:44
the
16:44
steel
16:45
and
16:45
aluminum
16:45
tariffs,
16:46
the
16:46
way
16:46
it's
16:46
written,
16:46
it's
16:47
actually
16:47
only
16:48
on
16:48
the
16:48
fob
16:49
portion
16:49
of
16:49
the
16:49
goods
16:50
that
16:50
contain
16:50
steel
16:51
and
16:51
aluminum.
16:51
So
16:52
not
16:52
just
16:52
pure
16:52
steel
16:53
and
16:53
aluminum
16:53
goods.
16:54
So
16:55
there's
16:55
lots
16:55
of
16:55
questions
16:56
like
16:56
how
16:56
will
16:56
these
16:56
tariffs
16:57
stack
16:57
together?
16:58
You
16:58
know,
16:59
they
16:59
weren't
16:59
necessarily
17:00
released
17:01
in
17:01
the
17:01
most
17:02
descriptive,
17:04
easy
17:04
to
17:04
implement
17:05
way.
17:05
So
17:05
I
17:05
think
17:06
there's
17:06
been
17:06
a
17:06
lot
17:06
of
17:06
spin
17:07
cycle
17:07
trying
17:07
to,
17:08
number
17:08
one,
17:08
interpret
17:09
what's
17:09
actually
17:10
going
17:10
to
17:10
happen.
17:11
Number
17:11
two,
17:12
think
17:12
about
17:13
how
17:13
it'll
17:13
be
17:13
implemented
17:14
as
17:14
you
17:15
import
17:15
products.
17:17
You
17:17
know,
17:18
the.
17:18
Some
17:19
of
17:19
the
17:19
good
17:19
news
17:19
here
17:20
is,
17:20
you
17:20
know,
17:20
we've
17:21
kind
17:21
of
17:21
been
17:21
through
17:21
this
17:21
cycle
17:22
before.
17:22
In
17:23
tariffs.
17:23
So
17:24
there's
17:24
a,
17:24
you
17:24
know,
17:24
a
17:25
playbook
17:25
that
17:25
a
17:25
lot
17:25
of
17:25
folks,
17:26
folks
17:26
have,
17:26
have
17:26
written
17:27
already
17:27
and
17:27
how
17:27
to
17:27
deal
17:28
with
17:28
tariffs.
17:29
The
17:29
other
17:30
kind
17:30
of
17:31
tailwind,
17:31
if
17:31
you
17:32
will,
17:32
is
17:32
a
17:32
lot
17:32
of
17:32
folks
17:33
have
17:33
started
17:33
diversifying
17:34
their
17:34
supply
17:34
chains
17:35
away
17:35
from
17:35
China
17:36
kind
17:36
of
17:36
as
17:37
a
17:37
result
17:37
of
17:37
the
17:37
last
17:38
cycle.
17:38
So
17:38
there'll
17:39
be
17:39
some
17:39
less
17:39
impact
17:40
here.
17:41
But
17:41
you
17:41
know,
17:41
the,
17:42
the,
17:42
the
17:43
kind
17:43
of
17:43
universal
17:44
approach
17:44
that,
17:45
that
17:45
folks
17:45
are
17:45
taking
17:46
or
17:46
should
17:46
be
17:46
taking
17:46
is,
17:47
you
17:47
know,
17:47
everyone's
17:48
starting
17:48
to
17:48
look
17:49
through
17:49
their
17:49
supply
17:49
chains
17:50
and
17:50
figure
17:50
out
17:50
where
17:51
there's
17:51
going
17:51
to
17:51
be
17:51
cost
17:52
impacts.
17:52
I
17:53
think
17:53
what
17:53
the
17:53
best
17:54
people
17:54
are
17:54
doing
17:54
is
17:55
trying
17:55
to
17:55
have
17:55
data
17:56
focused
17:56
conversations
17:57
with
17:57
their
17:58
vendors
17:58
and
17:58
their
17:59
manufacturers
17:59
to
17:59
understand
18:01
what
18:01
actually
18:01
the
18:02
cost
18:02
impact
18:03
is
18:03
so
18:03
that
18:03
you're
18:04
not
18:04
taking,
18:05
you
18:05
know,
18:06
additional,
18:08
call
18:08
it
18:08
margin
18:09
seeking
18:10
cost
18:10
increases
18:11
from
18:11
your
18:11
vendors
18:11
because
18:12
a
18:12
lot
18:12
of
18:12
times
18:12
they
18:12
can
18:12
tuck
18:13
in
18:13
stuff
18:13
like
18:13
that
18:14
under
18:14
the
18:14
guise
18:14
of,
18:15
oh,
18:15
cost
18:15
of
18:16
business
18:16
has
18:16
increased
18:16
because
18:17
of
18:17
tariffs.
18:18
So
18:19
I
18:19
think
18:19
there's
18:19
a
18:19
portion
18:20
of
18:20
that.
18:20
And
18:21
then,
18:21
you
18:22
know,
18:22
everyone's
18:23
thinking
18:23
about
18:23
how
18:23
do
18:23
I
18:24
start?
18:24
Where
18:25
can
18:25
I
18:25
raise
18:25
prices
18:26
to
18:26
account
18:26
for
18:26
this,
18:27
where
18:27
do
18:27
I
18:27
have
18:27
elasticity,
18:28
where
18:28
do
18:28
I
18:29
not
18:29
have
18:29
elasticity?
18:31
And
18:31
then
18:31
kind
18:31
of
18:31
on
18:32
the
18:32
far
18:32
end
18:32
of
18:32
the
18:33
spectrum,
18:33
you
18:33
have
18:34
even
18:34
some
18:34
retailers
18:35
placing,
18:36
well,
18:36
it's,
18:37
it's
18:37
past
18:37
now,
18:38
so
18:38
placed,
18:39
you
18:40
know,
18:40
front
18:40
running
18:41
orders
18:41
to
18:41
try
18:41
and
18:42
bring
18:42
in
18:42
lots
18:42
of
18:42
inventory
18:43
ahead
18:43
of
18:43
these
18:43
tariffs.
18:44
So
18:45
wide
18:45
range
18:45
of
18:46
reactions
18:47
kind
18:47
of.
18:49
Let
18:49
me
18:49
make
18:49
sure
18:50
I
18:50
understand
18:50
that.
18:50
Also,
18:50
I'm
18:50
gonna
18:50
ask
18:51
you
18:51
a
18:51
follow
18:51
up
18:51
question.
18:51
So,
18:52
so,
18:52
so
18:53
would
18:53
you,
18:53
so
18:53
would
18:53
you
18:53
say
18:54
that
18:54
generally
18:54
speaking,
18:55
retailers
18:55
right
18:55
now
18:55
are
18:56
assessing
18:57
the
18:57
situation
18:57
versus
18:58
taking
18:58
definitive
18:59
action
18:59
yet
19:00
until
19:00
they
19:00
have
19:00
more
19:02
understanding
19:02
of
19:03
what's
19:03
in
19:03
front
19:03
of
19:03
them,
19:04
with
19:04
the
19:04
exception
19:05
of
19:05
China,
19:05
where
19:05
it
19:06
seems
19:06
like
19:06
maybe
19:06
people
19:07
are
19:07
taking
19:07
more
19:07
action
19:08
on
19:08
the
19:08
rerouting
19:09
of
19:09
Chinese
19:10
production.
19:10
Is,
19:11
is
19:11
that
19:11
a
19:11
good
19:11
summary
19:12
or
19:12
what
19:12
am
19:12
I
19:12
missing?
19:13
I
19:13
think
19:13
that's
19:13
right.
19:14
But
19:14
there's,
19:14
there's
19:15
work
19:15
you
19:15
can
19:16
do
19:16
ahead
19:16
of
19:16
time
19:17
while
19:17
you're
19:17
waiting.
19:17
So
19:18
I
19:18
think
19:18
the
19:18
work
19:18
is
19:18
happening.
19:19
For
19:19
example,
19:20
you
19:20
know,
19:20
you
19:20
can
19:20
build
19:21
models
19:21
of.
19:21
Here
19:22
are
19:22
all
19:22
the
19:22
skews
19:23
that
19:23
could
19:23
be
19:24
impacted,
19:24
whether
19:25
it's
19:25
a
19:25
10%
19:26
China
19:26
tariff
19:27
now
19:27
a
19:27
20%
19:28
China
19:28
tariff,
19:28
you
19:28
can
19:29
modulate
19:29
some
19:29
of
19:29
those
19:30
things.
19:31
So
19:31
I
19:31
think
19:31
people
19:32
are
19:32
laying
19:32
the
19:32
groundwork
19:33
to
19:33
say,
19:33
you
19:34
know,
19:34
there's
19:34
four
19:35
big
19:35
categories
19:35
of
19:36
tariffs
19:36
that
19:36
are
19:36
out
19:36
there
19:37
now,
19:37
which
19:38
skews
19:38
do
19:38
we
19:39
have
19:39
that
19:39
could
19:39
be
19:39
impacted
19:40
by
19:40
these?
19:41
And
19:41
then
19:41
building
19:41
the
19:42
model
19:42
in
19:42
a
19:42
way
19:42
such
19:43
that,
19:43
you
19:43
know,
19:44
as
19:44
certain
19:44
tariffs
19:45
drop
19:45
through
19:46
negotiations
19:47
or
19:47
certain
19:47
tariffs
19:48
increase,
19:48
you
19:49
you
19:49
have
19:49
the
19:49
groundwork
19:50
to,
19:50
to
19:50
be
19:51
able
19:51
to
19:51
simulate
19:52
impact
19:52
to
19:53
cost
19:53
and,
19:53
and
19:53
therefore
19:54
pricing.
19:55
Okay,
19:55
got
19:56
it.
19:56
All
19:56
right,
19:56
so
19:56
let's,
19:56
let's
19:57
switch
19:57
gears
19:57
here
19:57
a
19:57
little
19:57
bit
19:57
on
19:58
this
19:58
one
19:58
because
19:58
I
19:58
think
19:58
this
19:58
will
19:58
be
19:59
fun.
19:59
So,
19:59
Ann,
20:00
what
20:00
do
20:00
you,
20:00
I'm
20:00
curious
20:01
what
20:01
you
20:01
think
20:01
of
20:01
Mr.
20:01
Pear
20:02
bank
20:02
and
20:02
Loblaw's
20:03
approach
20:03
to
20:03
this
20:04
problem.
20:04
What's
20:04
your
20:04
thoughts
20:05
there?
20:05
Oh,
20:06
my
20:06
God,
20:06
it's
20:07
so
20:07
passive
20:07
aggressive
20:08
Canadian.
20:09
I
20:09
love
20:09
it
20:09
so
20:09
much
20:10
and
20:10
I
20:10
do
20:10
love
20:10
the
20:10
Canadians.
20:11
Like,
20:12
we're
20:12
just
20:12
gonna
20:13
put
20:13
these
20:13
stickers
20:13
on
20:14
and
20:14
you
20:14
can
20:14
make
20:14
the
20:15
call.
20:16
Listen,
20:16
I
20:17
think
20:17
that
20:17
Chris
20:18
hit
20:19
it
20:19
on
20:19
the
20:19
head.
20:20
Like,
20:20
what,
20:20
what's
20:21
really
20:21
important
20:21
here
20:22
is
20:23
for
20:24
retailers
20:24
to
20:25
be
20:25
making
20:25
sure
20:26
that
20:26
they
20:26
have
20:26
the
20:27
most
20:28
price
20:28
elasticity
20:29
to
20:29
bring
20:30
customers
20:31
in
20:31
the
20:32
door.
20:32
Because
20:32
ultimately
20:33
I
20:33
think
20:33
that's
20:34
what
20:34
the
20:34
biggest
20:34
challenge
20:35
is
20:35
going
20:35
to
20:35
be.
20:35
Customers
20:36
are
20:36
going
20:37
more
20:38
price
20:38
conscious
20:39
than
20:39
ever.
20:39
And
20:40
so
20:40
you're
20:40
going
20:40
to
20:40
have
20:41
to
20:41
figure
20:41
out,
20:41
not
20:42
like
20:42
by
20:42
putting
20:43
these
20:43
tariff
20:43
stickers
20:43
on.
20:44
I
20:44
think
20:44
that's
20:44
fine.
20:45
Whatever
20:45
you
20:46
want,
20:46
how
20:46
you
20:46
want
20:46
to
20:47
message
20:47
that
20:47
to
20:47
your
20:48
consumers,
20:48
but
20:48
ultimately
20:49
it's
20:49
going
20:49
to
20:49
come
20:49
down
20:49
to
20:49
price.
20:50
And
20:50
it
20:50
gets
20:50
back
20:51
to,
20:51
you
20:51
know,
20:51
the
20:51
conversation
20:52
we
20:52
had
20:52
with
20:53
Matt
20:53
Povich
20:54
from
20:54
ravionics
20:54
last
20:54
week
20:55
of
20:55
like,
20:55
what
20:56
are
20:56
you
20:56
doing
20:56
to
20:56
invest
20:57
in
20:57
pricing
20:57
software
20:58
and
20:58
optimization
20:59
so
20:59
that
20:59
you
20:59
can
21:00
be
21:00
ahead
21:00
of
21:00
the
21:01
curve
21:01
and
21:02
really
21:02
give
21:02
your
21:03
organization
21:03
the
21:03
agility
21:04
that
21:04
it's
21:04
going
21:04
to
21:04
need
21:05
to
21:05
handle
21:05
the
21:05
constantly
21:06
changing
21:06
tariffs
21:07
and
21:07
just
21:07
continuously
21:08
offer
21:08
your
21:09
customers,
21:09
Customers
21:09
the
21:10
best
21:10
price
21:10
possible
21:11
and,
21:12
and
21:12
give
21:12
them
21:12
the
21:12
least
21:13
amount
21:13
of
21:13
impact
21:13
to
21:13
their
21:14
daily
21:14
shopping.
21:15
Yeah,
21:16
that's
21:16
a,
21:16
that's
21:16
a
21:16
great
21:16
point.
21:16
And
21:17
yeah,
21:17
if
21:17
you're
21:17
a
21:17
pricing
21:17
solution
21:19
provider
21:19
right
21:19
now,
21:20
you're
21:20
loving
21:21
this.
21:21
I
21:21
mean,
21:21
God,
21:21
because,
21:22
yeah,
21:22
the
21:22
retailer
21:22
is
21:22
going
21:22
to
21:23
have
21:23
to
21:23
invest
21:23
in
21:23
upgrading
21:24
those
21:24
systems.
21:25
That's
21:26
funny.
21:26
That's
21:26
funny.
21:26
I
21:26
actually
21:27
just
21:27
think,
21:27
I
21:27
actually
21:27
personally
21:28
just
21:28
think
21:28
it's
21:28
brilliant
21:29
merchandising.
21:29
Like,
21:30
I
21:30
give
21:30
kudos
21:30
to
21:30
Loblaws,
21:31
like,
21:31
because,
21:32
you
21:32
know,
21:32
it's
21:33
just,
21:33
it's
21:33
just
21:33
a
21:33
smart
21:34
thing
21:34
to
21:34
do.
21:34
The
21:34
art
21:34
of
21:34
retailing
21:35
is
21:35
taking
21:35
advantage
21:36
of
21:36
situations
21:36
as
21:37
they
21:37
arise.
21:37
And
21:37
that's
21:38
what
21:38
they're
21:38
doing
21:38
here.
21:38
They're
21:38
going
21:39
to.
21:39
And
21:39
by
21:39
default,
21:40
they're
21:40
going
21:40
to
21:40
push
21:40
their
21:40
private
21:41
label
21:41
products
21:41
as
21:41
a
21:42
result
21:42
of
21:42
this
21:42
too.
21:43
You
21:43
know,
21:43
that's
21:43
a
21:43
great
21:43
point.
21:44
So
21:44
I
21:44
think
21:45
that's
21:45
what
21:45
they're
21:45
doing
21:45
and
21:45
it's
21:46
beautiful.
21:46
But
21:46
David,
21:46
you
21:47
get
21:47
the
21:47
last
21:47
word
21:47
here.
21:47
What
21:48
do
21:48
you
21:48
think,
21:48
what
21:48
do
21:48
you
21:49
think
21:49
on
21:50
what
21:50
they're
21:50
doing
21:51
or
21:51
what
21:51
do
21:51
you
21:51
think
21:51
on
21:51
the
21:51
state
21:52
of
21:52
tariffs,
21:52
like
21:53
how
21:53
the
21:53
industry
21:53
is
21:53
reacting.
21:54
You
21:54
take
21:54
the
21:54
last
21:55
call
21:55
here.
21:55
Yeah,
21:56
I
21:56
want
21:56
to,
21:57
I
21:57
agree
21:57
with
21:57
every,
21:58
with
21:58
every,
21:58
with
21:59
everything
21:59
that
21:59
everyone
21:59
said.
22:00
I
22:00
think
22:00
I
22:00
would
22:00
take
22:00
a
22:00
little
22:00
bit
22:00
of
22:01
a
22:01
different
22:01
approach
22:01
here.
22:01
I'm
22:02
going
22:02
to
22:02
take
22:02
consumer
22:03
first.
22:03
So
22:04
first
22:05
with
22:05
the
22:05
Loblo
22:06
piece,
22:06
it's
22:07
another
22:07
way
22:07
to
22:08
have
22:08
another
22:08
conversation
22:09
with
22:09
their
22:09
consumer
22:10
to
22:11
drive
22:11
loyalty.
22:12
But
22:12
then
22:12
also
22:13
I'm
22:13
not
22:14
going
22:14
to
22:14
say
22:14
trade
22:14
down
22:15
to
22:15
private
22:15
label
22:16
because
22:16
in
22:16
many
22:16
ways
22:17
for
22:17
them
22:17
it's
22:17
trading
22:18
up
22:18
in
22:18
margin.
22:18
So
22:19
I
22:19
think
22:19
that's
22:19
another
22:19
way
22:20
for
22:20
them
22:20
to
22:20
drive
22:21
brand
22:22
affinity
22:23
as
22:23
it
22:23
relates
22:24
to
22:24
consumer
22:25
perception.
22:25
On
22:26
tariffs,
22:27
based
22:27
on
22:27
the
22:27
research
22:28
we've
22:28
done,
22:29
there
22:29
is
22:29
a
22:29
little
22:29
bit
22:29
of
22:29
an
22:30
expectation
22:30
that
22:30
all
22:31
prices
22:31
are
22:31
going
22:31
to
22:32
increase
22:32
as
22:33
it
22:33
relates
22:33
to
22:34
tariffs
22:35
from
22:35
Mexico,
22:35
China
22:36
and
22:37
Canada.
22:37
So
22:38
similar
22:38
to
22:38
where
22:38
inflation
22:39
was
22:39
a
22:39
couple
22:39
of
22:40
years
22:40
ago,
22:40
where
22:41
there
22:42
is
22:42
an
22:42
expectation
22:43
that
22:43
prices
22:43
will
22:44
go
22:44
up.
22:44
And
22:44
I
22:44
think
22:44
it's
22:45
a
22:45
question
22:45
of
22:46
where
22:46
that
22:46
will
22:46
come
22:47
from.
22:47
Discretionary
22:48
spending
22:48
will
22:48
naturally
22:49
go
22:49
down,
22:50
but
22:51
you
22:51
also
22:51
have
22:51
to
22:51
be
22:51
mindful
22:52
on
22:52
price
22:52
increases
22:53
there.
22:54
But
22:54
on
22:54
traditional
22:55
household
22:55
goods
22:56
and
22:56
dairy
22:57
and
22:57
daily
22:57
products,
22:58
the
22:58
expectation
22:59
consumers
22:59
are
22:59
having
23:00
like
23:00
similar
23:00
to
23:00
a
23:00
eggs
23:01
is
23:01
that
23:01
prices
23:02
will
23:02
go
23:02
up.
23:03
And,
23:03
and
23:04
I
23:04
think
23:04
what
23:04
will
23:04
be
23:04
interesting
23:05
with
23:05
retailers
23:06
is
23:06
do
23:06
you
23:07
automatically
23:07
pass
23:08
those
23:08
costs
23:09
to
23:09
the
23:09
consumer?
23:10
Where
23:11
do
23:11
you
23:11
renegotiate
23:12
with
23:12
suppliers?
23:13
Or
23:14
even
23:14
in
23:14
certain
23:15
impact,
23:15
do
23:15
you
23:16
see
23:16
an
23:16
opportunity
23:17
to
23:17
increase
23:18
price
23:19
when
23:19
actual
23:20
cost
23:20
has
23:20
not
23:20
increased?
23:21
So
23:21
do
23:21
you,
23:23
you
23:23
know,
23:23
premeditatedly.
23:24
I'm
23:25
not
23:25
even
23:25
sure
23:25
if
23:25
that's
23:25
a
23:26
word,
23:27
increase
23:28
prices
23:28
to
23:30
offset
23:30
future
23:31
cost
23:31
increases
23:32
via
23:32
tariffs.
23:34
And
23:34
so
23:35
I
23:35
think
23:35
when
23:36
it
23:36
comes
23:36
to
23:36
traditional
23:37
food
23:37
and
23:37
beverage
23:38
products
23:38
and
23:38
even
23:39
personal
23:39
care,
23:40
consumers
23:41
are
23:41
expecting
23:42
price
23:42
to
23:42
increase.
23:43
Now
23:43
the
23:43
question
23:43
of
23:44
how
23:44
much
23:44
that
23:44
is
23:45
and
23:45
where
23:45
that
23:46
inflection
23:46
point
23:47
is.
23:47
Tbd.
23:48
But
23:50
it
23:50
will
23:51
be
23:51
interesting
23:51
to
23:51
see.
23:51
That
23:52
the
23:52
other
23:53
winner
23:53
you
23:53
had,
23:54
Chris,
23:54
you
23:54
mentioned
23:55
pricing
23:55
software.
23:56
Probably
23:56
the
23:56
other
23:57
winner
23:57
here
23:57
is
23:57
like
23:58
discount
23:58
and
23:58
off
23:59
price
23:59
retail,
23:59
right?
24:00
Yeah.
24:00
I
24:00
was
24:00
just
24:00
thinking
24:00
Walmart
24:01
wins.
24:01
Yeah,
24:01
Walmart
24:02
wins
24:02
in
24:02
this,
24:02
in
24:03
this
24:03
world
24:03
they
24:03
continue
24:04
to
24:04
win,
24:04
you
24:04
know
24:05
that
24:05
100%.
24:06
Yeah.
24:06
I
24:06
mean
24:06
the
24:06
other
24:07
part
24:07
to
24:07
me
24:07
is
24:07
like
24:08
I
24:08
go
24:08
back
24:08
to
24:08
econ
24:08
101,
24:09
that
24:09
the
24:09
expectations
24:10
of
24:10
inflation
24:11
are
24:11
just
24:11
as
24:11
important
24:12
as
24:12
the
24:12
actual
24:13
inflation
24:13
because
24:14
you
24:14
know,
24:14
one
24:14
drives
24:14
the
24:15
other.
24:15
And
24:15
so
24:15
yeah,
24:16
it's
24:16
really
24:16
interesting.
24:17
All
24:18
right,
24:18
let's
24:18
go
24:18
on
24:18
to
24:18
headline
24:19
number
24:19
three,
24:19
guys.
24:20
Google's
24:20
new
24:20
shopping
24:21
tab
24:21
has
24:22
a
24:22
new
24:22
AI
24:23
tool
24:23
that
24:23
makes
24:23
your
24:24
fashion
24:24
idea
24:25
and
24:25
suggests.
24:26
Sorry,
24:26
that
24:27
takes
24:27
your
24:27
fashion
24:28
idea
24:28
and
24:28
suggests
24:29
similar
24:30
clothing
24:30
Options.
24:31
According
24:31
to
24:32
TechCrunch,
24:32
this
24:32
new
24:33
feature
24:33
dubbed
24:33
Vision
24:34
Match
24:34
is
24:34
now
24:35
available
24:35
in
24:35
the
24:35
search
24:36
experience
24:36
on
24:36
mobile
24:37
for
24:37
US
24:37
users.
24:38
It
24:38
lets
24:38
shoppers
24:39
describe
24:39
a
24:39
garment
24:40
they're
24:40
imagining
24:40
and
24:41
then
24:41
the
24:41
AI
24:41
suggests
24:42
ideas
24:42
based
24:43
on
24:43
the
24:43
description
24:44
along
24:44
with
24:44
the
24:44
best
24:45
available
24:45
matches
24:46
that
24:46
users
24:46
can
24:46
purchase.
24:47
To
24:47
try
24:47
this
24:48
feature,
24:48
users
24:49
simply
24:49
type
24:49
an
24:49
idea
24:50
into
24:50
the
24:50
search
24:51
bar
24:51
and
24:51
scroll
24:52
to
24:52
the
24:52
can't
24:52
find
24:53
it
24:53
Create.
24:53
Create
24:54
it
24:54
prompt
24:54
or
24:55
go
24:55
to
24:55
the
24:55
left
24:56
panel
24:56
in
24:56
the
24:56
Shopping
24:57
tab
24:57
and
24:57
select
24:58
Create
24:58
and
24:58
Shop.
24:59
Chris
25:00
Creates.
25:00
On
25:00
a
25:00
scale
25:01
of
25:01
1
25:01
to
25:01
10,
25:02
how
25:02
would
25:02
you
25:02
say
25:02
that
25:02
retailers
25:03
and
25:03
brands
25:03
with
25:03
whom
25:04
you
25:04
work
25:04
are
25:04
prioritizing
25:05
investments
25:06
in
25:06
Gen
25:06
AI
25:07
search?
25:08
Yeah,
25:08
I
25:08
think.
25:08
I
25:08
think
25:09
it's
25:09
pretty
25:09
high.
25:09
You
25:09
know,
25:10
maybe
25:10
call
25:10
it
25:10
like
25:11
a
25:11
seven.
25:11
It's
25:12
definitely
25:12
a
25:12
topic
25:13
that's
25:13
getting
25:13
a
25:13
lot
25:14
of
25:14
talk.
25:15
I
25:15
think.
25:15
Really,
25:16
it
25:17
is.
25:17
Yeah.
25:17
And
25:17
I
25:18
think
25:18
it's
25:18
not.
25:19
It's
25:19
not
25:19
that
25:20
people
25:20
are
25:20
dumping
25:21
investment
25:21
into
25:21
it
25:22
yet,
25:22
but
25:22
I
25:22
think
25:22
everyone's
25:23
really
25:24
curious.
25:24
Like
25:24
from
25:24
a
25:25
merchandising
25:25
perspective,
25:26
you
25:26
have
25:26
this
25:27
fear
25:28
that
25:28
you
25:28
carry
25:29
the
25:29
product
25:29
a
25:29
customer
25:30
is
25:30
looking
25:30
for
25:30
and
25:31
they
25:31
can't
25:31
find
25:31
it.
25:32
And
25:32
somewhere
25:32
in
25:32
that
25:33
discovery
25:33
journey,
25:34
it
25:34
breaks.
25:34
And
25:35
I
25:35
think
25:35
that
25:35
is
25:35
a
25:36
very
25:36
real
25:36
fear
25:37
that
25:37
people
25:37
have.
25:39
Now,
25:39
does,
25:39
like,
25:40
these
25:40
AI
25:41
tools
25:41
actually
25:42
solve
25:43
that?
25:43
You
25:44
can
25:44
upload
25:44
a
25:44
picture
25:45
of
25:45
a,
25:45
you
25:46
know,
25:46
a
25:47
garment
25:47
into
25:48
someone's
25:48
search
25:48
on
25:49
like
25:49
a
25:49
victoria
25:50
secret.com
25:50
and
25:51
it'll
25:51
suggest
25:51
all
25:52
the
25:52
other
25:52
ones
25:52
that
25:52
we
25:52
have
25:53
that
25:53
are
25:53
like
25:53
that.
25:54
Does
25:54
it
25:54
really
25:54
drive
25:55
value?
25:55
I'm
25:55
not
25:56
sure,
25:57
but
25:57
I
25:57
think
25:58
there
25:58
is
25:58
a
25:58
deep
25:58
desire
25:59
to
25:59
make
25:59
sure
25:59
that
26:00
you're
26:00
serving
26:00
intuitive
26:01
search
26:02
results.
26:02
You.
26:04
I
26:04
think
26:04
no
26:04
one
26:05
wants
26:05
to
26:05
be
26:05
the
26:05
last
26:06
one
26:06
that
26:07
or
26:07
the
26:08
last
26:08
one
26:09
to
26:09
build
26:10
a
26:10
more
26:10
intuitive
26:11
discovery
26:12
process.
26:13
I
26:13
think
26:13
there's
26:14
some
26:14
other
26:14
cool
26:15
elements
26:15
that
26:15
are
26:15
coming
26:16
out
26:16
of
26:16
these,
26:16
like
26:17
personalized
26:17
searching.
26:18
If
26:18
they
26:18
already
26:19
can
26:19
use.
26:20
If
26:20
you
26:20
can
26:20
use
26:20
Genai
26:21
to
26:21
better
26:21
understand
26:22
someone's
26:22
purchasing
26:23
and
26:23
browsing
26:24
history,
26:24
then
26:25
you
26:25
know
26:25
what
26:25
to
26:26
present
26:26
to
26:26
them.
26:26
So
26:27
it's
26:27
not
26:27
only
26:28
returning
26:29
more
26:30
intuitive
26:30
search
26:30
results
26:31
based
26:31
on
26:31
what
26:31
everyone's
26:32
looking
26:32
for,
26:32
but
26:33
I
26:33
can
26:33
present
26:33
you
26:34
with
26:34
the
26:34
things
26:35
that
26:35
I
26:35
think
26:35
you're
26:36
most
26:36
likely
26:36
to
26:36
buy
26:37
based
26:37
on
26:37
what
26:37
you've
26:38
bought
26:38
from
26:38
me
26:38
in
26:38
the
26:38
past.
26:39
I
26:39
think
26:39
there's
26:39
definitely
26:40
some
26:40
upside
26:40
there.
26:41
So
26:41
I'd
26:41
say
26:41
there's
26:42
a
26:42
lot
26:42
of
26:42
interest.
26:42
I
26:43
know
26:43
people
26:43
who
26:43
are
26:43
actively
26:44
doing,
26:44
you
26:45
know,
26:45
part.
26:45
There's
26:45
a
26:45
lot
26:45
of
26:45
partnerships
26:46
with
26:46
Google
26:46
Cloud
26:47
in
26:47
this
26:47
space,
26:48
so
26:49
I
26:49
think
26:49
there's
26:49
a
26:49
lot
26:49
of
26:50
traction
26:50
here
26:51
and
26:51
a
26:51
lot
26:51
of
26:51
interest
26:52
in
26:52
the
26:52
area
26:52
now.
26:53
Is
26:53
it
26:53
translating
26:54
to
26:55
immense
26:56
value
26:56
yet?
26:57
I'm
26:57
not
26:57
sure.
26:57
I
26:57
haven't
26:58
heard
26:58
anyone
26:58
really
27:00
toting
27:01
massive
27:02
EBITDA
27:03
gains
27:03
from,
27:03
from
27:04
AI
27:04
search
27:04
yet,
27:04
but
27:05
I
27:05
think
27:05
there's
27:05
a
27:05
lot
27:05
of
27:05
interest.
27:07
So
27:07
Chris,
27:07
would
27:08
you
27:08
say
27:08
that
27:08
you're
27:09
like
27:09
your
27:10
recommendation
27:11
for
27:11
retailers
27:11
is
27:12
what
27:12
then
27:12
is
27:13
it
27:13
to
27:13
start
27:13
to
27:14
look
27:14
at
27:14
investing
27:14
in
27:15
this
27:15
on
27:15
their
27:15
own
27:16
brand
27:16
site,
27:17
to
27:17
start
27:17
to
27:17
look
27:18
at
27:18
this
27:18
from
27:18
how
27:19
they
27:19
show
27:19
up
27:19
in
27:19
these
27:19
searches
27:20
or
27:20
like
27:20
how
27:20
are
27:20
you
27:21
navigating
27:21
this,
27:22
your
27:23
recommendations
27:23
for
27:24
them?
27:24
Yeah,
27:24
I
27:24
would
27:24
think
27:25
back
27:25
to
27:25
what
27:25
your
27:25
consumer
27:26
data
27:26
is
27:26
telling
27:27
you
27:27
and
27:27
what
27:27
your
27:27
shopping
27:28
data
27:28
from
27:28
your
27:28
website
27:29
is
27:29
telling
27:29
you
27:30
as
27:30
to
27:30
whether
27:30
these
27:31
are
27:31
investments
27:31
that
27:31
make
27:32
sense
27:32
for
27:32
you.
27:32
If
27:32
you're
27:33
seeing
27:34
low
27:34
click
27:35
through
27:35
rates,
27:35
if
27:35
you're
27:35
seeing
27:36
as
27:36
you
27:37
walk
27:37
that
27:37
funnel
27:37
from
27:38
your
27:38
website
27:38
in
27:39
terms
27:39
of
27:39
how
27:39
people
27:39
interact
27:40
with
27:40
your
27:40
your
27:41
site,
27:41
if
27:41
you're
27:41
seeing
27:42
searches
27:42
that
27:42
don't
27:43
result
27:43
in
27:44
the
27:44
right
27:44
click
27:44
throughs
27:45
that
27:45
you
27:45
want,
27:46
then
27:46
maybe
27:46
this
27:46
is
27:47
something
27:47
that
27:48
is
27:48
a
27:48
true
27:48
gap
27:49
for
27:49
your
27:49
business
27:49
where
27:49
you
27:50
prioritize
27:50
those
27:51
investments.
27:52
And
27:52
Dave,
27:53
is
27:53
this
27:53
consistent
27:54
with
27:54
what
27:54
you're
27:54
seeing
27:55
with
27:55
clients
27:55
that
27:55
you've
27:56
worked
27:56
with
27:56
as
27:56
well?
27:57
Yeah,
27:58
especially
27:59
within
27:59
fashion
28:00
and
28:00
apparel.
28:01
It's
28:02
super
28:02
important
28:03
as
28:03
it
28:03
relates
28:04
to
28:04
personalization
28:05
and
28:05
customization.
28:06
Now
28:07
with
28:07
the
28:07
amount
28:07
of
28:07
data
28:08
that's
28:08
out
28:08
there
28:08
and
28:09
the
28:09
amount
28:09
of
28:09
options
28:10
that
28:10
consumers
28:11
have,
28:11
they
28:11
want
28:12
something
28:12
that's
28:12
tailored
28:13
specifically
28:13
to
28:14
him
28:14
and
28:14
her.
28:15
And
28:15
this
28:15
is
28:15
a
28:16
more,
28:16
potentially
28:17
more
28:17
seamless
28:18
way
28:19
to
28:19
drive
28:20
customization
28:21
on
28:21
things
28:21
that
28:22
are
28:22
unknown.
28:22
And
28:22
I
28:23
think
28:23
right
28:23
now
28:23
we
28:23
live
28:23
in
28:24
a
28:24
world
28:24
where
28:24
more
28:24
is
28:25
more.
28:25
And
28:26
so
28:26
having
28:26
this
28:27
AI
28:27
tool,
28:28
if
28:28
done
28:28
correctly,
28:29
to
28:29
Chris's
28:29
point,
28:30
could
28:30
have
28:31
huge
28:31
impact.
28:33
Maybe
28:33
not
28:33
as
28:33
much
28:34
to
28:34
conversion,
28:35
but
28:35
at
28:35
least
28:36
to
28:36
loyalty
28:37
and
28:37
traffic.
28:37
And
28:38
I
28:38
think
28:38
that's
28:38
where
28:39
they
28:39
should
28:39
start
28:39
first.
28:41
Is
28:41
this
28:41
a
28:41
traffic
28:41
driving
28:42
piece?
28:42
And
28:42
then
28:42
how
28:43
does
28:43
that
28:43
relate
28:43
to
28:43
actual
28:44
conversion
28:44
of
28:44
sales?
28:45
Right.
28:46
Especially
28:46
as
28:46
search
28:47
behaviors
28:47
are
28:47
shifting,
28:48
you
28:48
know,
28:48
and
28:49
well,
28:49
there's
28:49
a
28:49
whole
28:50
track
28:50
that's
28:50
going
28:51
to
28:51
be
28:51
dedicated
28:51
to
28:51
that
28:51
at
28:51
Shop
28:52
Talk
28:52
next
28:52
week.
28:52
Chris
28:53
Walton,
28:54
that,
28:54
that
28:55
you
28:55
and
28:55
I
28:55
are
28:55
both
28:55
going
28:56
to
28:56
be
28:56
having,
28:56
I'm
28:57
sure,
28:57
a
28:57
lot
28:57
of
28:57
conversations
28:58
with
28:58
retailers
28:59
about.
28:59
Chris,
29:00
what
29:00
do
29:00
you
29:01
think?
29:01
Everybody
29:02
knows
29:02
how
29:02
I
29:02
feel
29:02
about
29:03
Google
29:03
search
29:04
right
29:04
now,
29:05
so
29:05
I
29:05
don't
29:05
need
29:05
to
29:05
spend
29:05
too
29:06
much
29:06
time
29:06
on
29:06
this.
29:06
But,
29:07
but
29:07
I'd
29:08
love
29:08
to
29:08
get
29:08
your,
29:09
your
29:09
insights
29:10
because
29:10
I've
29:10
made
29:10
you
29:10
include
29:11
yet
29:11
another
29:12
Google
29:12
headline
29:12
in
29:12
our
29:13
Fast
29:13
five.
29:13
Yeah,
29:14
I
29:14
made
29:14
the
29:14
joke
29:14
that
29:15
this
29:15
is
29:15
like
29:15
your
29:15
Google
29:16
orgasm
29:16
of
29:16
the
29:17
week,
29:17
right?
29:17
Like
29:17
this
29:18
is
29:18
like
29:18
every,
29:19
every
29:19
month.
29:19
Every
29:20
month.
29:20
Gotta
29:20
hit
29:21
every
29:21
month.
29:22
Yes,
29:22
I
29:22
know,
29:22
but
29:23
no,
29:24
I
29:24
mean,
29:24
first
29:24
of
29:24
all,
29:24
I'd
29:24
say
29:24
like
29:25
Stepping
29:25
back,
29:25
it's,
29:26
it's
29:26
quite
29:26
comforting
29:27
to
29:27
hear
29:27
David
29:28
and
29:28
Chris
29:28
say
29:29
that
29:29
retailers
29:29
are
29:30
actively
29:30
thinking
29:30
about
29:30
that.
29:31
This
29:31
I
29:31
agree,
29:31
that's
29:31
good.
29:32
I
29:32
mean
29:32
it
29:32
shows
29:32
me
29:32
they've
29:32
learned
29:33
from
29:33
the
29:33
mistakes
29:34
of
29:34
the
29:34
past
29:34
where
29:34
they
29:35
discounted
29:35
E
29:35
commerce
29:36
for
29:36
so
29:36
long.
29:36
So,
29:37
so
29:37
that's
29:37
very
29:38
comforting.
29:39
The
29:39
one
29:39
place
29:39
where
29:39
I
29:39
probably,
29:40
I
29:41
disagree
29:41
with,
29:41
I
29:41
think
29:41
Chris,
29:42
who
29:42
said
29:42
this
29:42
is
29:43
I
29:43
do
29:43
think
29:43
there's
29:43
an
29:43
order
29:44
of
29:44
operations
29:44
here
29:45
of
29:45
the
29:45
right
29:46
way
29:46
to
29:46
approach
29:46
this
29:46
from
29:46
a
29:47
retail
29:47
executive
29:48
perspective.
29:49
Because
29:49
like
29:50
I
29:50
think
29:50
was
29:50
outlined,
29:50
I
29:50
think
29:50
there's
29:51
two
29:51
imperatives
29:52
that,
29:52
that
29:52
the
29:52
retailers
29:53
are
29:53
facing.
29:53
One,
29:54
they
29:54
have
29:54
to
29:54
decide
29:54
how
29:54
they
29:55
want
29:55
to
29:55
show
29:55
up
29:55
on
29:55
the
29:55
search
29:56
engines
29:56
themselves
29:57
and
29:57
two,
29:58
they
29:58
have
29:58
to
29:58
decide
29:58
what
29:59
it
29:59
means
29:59
for
29:59
their
29:59
own
30:00
e
30:00
commerce
30:00
experiences.
30:01
Right.
30:01
And
30:02
I'm
30:02
inclined
30:02
to
30:03
disproportionately
30:04
invest
30:04
in
30:04
the
30:04
former
30:05
because
30:06
that's
30:06
all
30:06
really
30:06
about
30:07
having
30:07
great
30:08
data
30:08
quality
30:08
at
30:09
the
30:09
end
30:09
of
30:09
the
30:09
day,
30:09
which
30:09
is
30:10
a
30:10
good
30:10
thing
30:11
to
30:11
have
30:11
regardless.
30:12
Whereas
30:12
the
30:13
latter,
30:13
to
30:13
see
30:13
the
30:13
benefit,
30:14
it's
30:15
going
30:15
to
30:15
still
30:15
require
30:15
a
30:16
step
30:16
change
30:16
in
30:16
how
30:16
people
30:17
shop
30:17
which
30:17
is
30:18
likely
30:18
going
30:18
to
30:18
come
30:18
by
30:19
way
30:19
of
30:19
a
30:19
culturing
30:19
to
30:20
the
30:20
search
30:20
engines
30:20
themselves.
30:21
So
30:21
I
30:21
think
30:21
that's
30:21
kind
30:22
of
30:22
a
30:22
next
30:22
order
30:23
of
30:23
operations
30:23
concern.
30:24
You
30:24
got
30:24
to
30:25
get
30:25
your
30:25
data
30:25
quality
30:26
right
30:26
first
30:27
and
30:27
the
30:27
proof
30:27
point
30:28
will
30:28
be
30:28
how
30:28
do
30:28
you
30:28
show
30:28
up
30:28
on
30:29
those
30:29
search
30:29
engines?
30:29
That,
30:30
that's,
30:30
that's
30:31
the
30:31
approach
30:31
I
30:31
would
30:31
be
30:31
taking
30:32
if
30:32
I
30:32
was
30:32
in
30:32
the
30:32
executive
30:32
chair.
30:33
Yeah.
30:34
And
30:34
Chris,
30:34
I,
30:35
you
30:35
got
30:35
me
30:36
thinking
30:36
of
30:36
something
30:36
too.
30:37
Like
30:37
as,
30:38
as
30:38
we
30:38
talked
30:39
about
30:39
as
30:39
searching
30:40
behaviors
30:40
are
30:40
changing
30:41
and
30:42
you
30:42
know,
30:42
even
30:43
people
30:43
are
30:43
going
30:43
to
30:44
a
30:44
brand's
30:44
own
30:45
website
30:45
even
30:45
less
30:46
so
30:46
traffic
30:46
like
30:47
this
30:47
is
30:47
going
30:47
to
30:47
be
30:48
really
30:48
important
30:48
and
30:49
making
30:49
sure
30:49
that
30:49
you're
30:49
investing
30:50
and
30:50
showing
30:50
up
30:51
on
30:51
the
30:51
search
30:51
engines
30:52
on
30:52
Google
30:53
or
30:53
on
30:53
any
30:53
of
30:54
the
30:54
gen
30:54
AI
30:54
search
30:55
platforms
30:55
too
30:56
where
30:56
people
30:56
are
30:56
going
30:57
to
30:57
be
30:57
starting
30:57
their,
30:58
their
30:58
searching
30:58
and
30:58
discovering
30:59
process.
31:00
But
31:00
I
31:00
also
31:01
wonder
31:01
if
31:01
like
31:02
from
31:02
Google's
31:02
perspective,
31:03
does
31:03
this
31:04
allow
31:04
them
31:05
another
31:05
data
31:05
set
31:06
to
31:06
sell
31:06
to
31:07
brands
31:08
in
31:08
the
31:08
long
31:08
run
31:08
of
31:09
like,
31:09
these
31:09
are
31:09
the
31:09
things
31:10
that
31:10
people
31:10
are
31:10
creating
31:11
like
31:11
for
31:11
specifically
31:12
for
31:12
this
31:12
tool.
31:13
Like
31:13
here's
31:13
what's
31:14
missing
31:14
in
31:14
the
31:14
category
31:15
here.
31:15
The
31:15
search
31:16
terms
31:16
that
31:17
people
31:17
are
31:17
entering
31:18
in
31:18
when
31:18
they
31:18
come
31:18
to
31:19
this
31:19
Google
31:19
create
31:20
and
31:20
find
31:20
tool
31:20
and
31:20
then
31:21
they
31:21
can
31:21
in
31:21
turn
31:22
take
31:22
that
31:22
back
31:22
to
31:22
the
31:22
brands
31:23
and
31:23
be
31:23
like,
31:23
as
31:24
you're
31:24
developing
31:24
your
31:25
R
31:25
and
31:25
D,
31:25
as
31:26
you're
31:26
trying
31:26
to
31:26
figure
31:26
out
31:27
like
31:27
what
31:27
the
31:27
next
31:27
trend
31:28
is,
31:28
here's
31:29
another
31:29
collection
31:30
of
31:30
data
31:30
that
31:30
we
31:31
can
31:31
give
31:31
you
31:32
exactly
31:32
pinpointed
31:33
information
31:33
on.
31:34
Here's
31:34
what
31:34
people
31:34
are
31:35
dreaming
31:35
up
31:35
that
31:35
doesn't
31:36
exist
31:36
out
31:36
there
31:36
in
31:36
the
31:37
world.
31:37
Yeah,
31:38
I
31:38
mean,
31:38
it's,
31:38
it's
31:38
a
31:39
100%.
31:39
It's
31:39
another
31:40
data
31:40
point
31:40
for
31:40
Google.
31:40
It's
31:41
another
31:41
data
31:41
point
31:41
to
31:42
serve
31:42
up
31:42
advertising
31:43
too,
31:43
in
31:43
the
31:44
platform
31:44
as
31:44
well,
31:45
which
31:45
I'm
31:45
sure
31:45
they're
31:46
thinking
31:46
about,
31:47
you
31:47
know,
31:47
long,
31:48
long,
31:49
long
31:49
term,
31:50
you
31:50
know,
31:51
without
31:51
a
31:51
doubt.
31:51
So,
31:51
yeah,
31:52
I
31:52
think,
31:52
I
31:52
think
31:52
that's
31:52
exactly
31:53
right.
31:53
And
31:53
the
31:54
other
31:54
point
31:54
I'd
31:54
make
31:54
too
31:54
is
31:55
like,
31:55
you
31:55
brought
31:55
it
31:55
up
31:55
like
31:56
the
31:56
traffic
31:56
to
31:57
websites
31:57
is
31:57
going
31:58
to
31:58
be
31:58
less
31:58
and
31:58
less.
32:00
So,
32:00
you
32:00
know,
32:00
you've
32:01
got
32:01
to
32:01
convert
32:01
it,
32:02
but
32:02
at
32:02
the
32:02
end
32:02
of
32:02
the
32:02
day,
32:03
you
32:03
need
32:03
to
32:03
show
32:03
up
32:04
where
32:04
the
32:04
traffic
32:04
is
32:05
going
32:05
to
32:05
go.
32:06
And
32:06
so
32:06
that,
32:06
that's
32:07
the
32:07
point
32:07
I
32:07
would
32:07
make
32:08
here,
32:08
that
32:08
people
32:08
need
32:08
to
32:08
keep
32:09
top
32:09
of
32:09
mind.
32:10
Excellent.
32:11
All
32:11
right,
32:11
let's
32:12
go
32:12
to
32:12
headline
32:12
number
32:12
four.
32:12
All
32:12
right,
32:12
headline
32:13
number
32:13
four.
32:14
This
32:14
one's
32:14
going
32:14
to
32:14
be
32:14
a
32:15
fun
32:15
one
32:15
because
32:15
we
32:15
have
32:15
some
32:16
personal
32:16
experience
32:16
related
32:17
to
32:17
this
32:17
next
32:18
headline.
32:19
Wreck
32:19
it
32:20
has
32:20
increased
32:20
its
32:21
product
32:21
development
32:22
output,
32:22
allegedly
32:23
via
32:24
AI.
32:25
According
32:25
to
32:25
ConsumerGoodTechnology.com,
32:28
early
32:29
findings
32:29
of
32:29
gen
32:29
AI
32:30
applications
32:30
in
32:30
product
32:31
innovation
32:31
have
32:31
reduced
32:32
development
32:32
time
32:32
for
32:33
Rekki
32:33
by
32:33
up
32:33
to
32:34
60%
32:35
while
32:35
also
32:35
improving
32:36
quality.
32:36
The
32:37
company
32:37
has
32:37
been
32:37
piloting
32:38
the
32:38
technology
32:38
with
32:39
its
32:39
finished
32:40
brands
32:40
to
32:41
analyze
32:41
years
32:41
of
32:42
past
32:42
research
32:42
and
32:43
test
32:43
data
32:43
to
32:44
develop
32:44
new
32:44
product
32:45
concepts,
32:45
quote,
32:45
grounded
32:46
in
32:46
science
32:46
and
32:47
consumer
32:47
insights,
32:48
end
32:48
quote.
32:48
And
32:49
shout
32:49
out
32:49
to
32:49
all
32:49
our
32:49
Finnish
32:50
listeners.
32:51
And
32:51
Shannon
32:51
Eisenhart,
32:52
Reckitt's
32:53
cfo,
32:53
said
32:53
during
32:54
the
32:54
company's
32:54
recent
32:55
earnings
32:55
call
32:56
that
32:56
new
32:56
generative
32:56
AI
32:57
tools
32:57
would
32:57
be
32:57
rolled
32:58
out
32:58
across
32:58
its
32:58
R
32:59
and
32:59
D
32:59
function
32:59
in
32:59
2025
33:01
to
33:01
drive
33:01
productivity
33:02
and
33:02
product
33:03
superiority.
33:04
Before
33:04
adding,
33:05
you
33:05
had
33:05
better
33:05
check
33:06
yourself
33:06
before
33:07
you
33:07
wreck
33:07
it
33:07
yourself.
33:08
David,
33:09
are
33:09
you
33:09
buying
33:09
or
33:10
selling?
33:10
Reckitt's
33:10
claim
33:11
the
33:11
generative
33:11
AI
33:12
has
33:12
reduced
33:12
its
33:13
product
33:13
development
33:13
lead
33:14
times
33:14
by
33:14
60%.
33:16
So.
33:16
So
33:16
that
33:17
disclaimer
33:17
that
33:18
Chris
33:18
was
33:18
talking
33:18
about
33:19
is,
33:19
yes,
33:19
I
33:19
did
33:20
work
33:20
at
33:20
Reckitt
33:21
for
33:21
a
33:21
few
33:22
a
33:22
decade
33:23
ago
33:23
now.
33:24
One
33:25
of
33:25
the
33:25
things
33:25
that
33:26
really
33:26
resonated
33:26
with
33:27
me
33:27
during
33:27
my
33:27
time
33:28
was
33:28
that
33:28
there
33:28
was
33:28
this
33:29
concept
33:29
of
33:29
speed
33:30
over
33:30
perfection.
33:31
And
33:32
that
33:32
really
33:32
has
33:33
resonated
33:33
with
33:33
me.
33:34
Not
33:35
sure
33:35
if
33:35
it's
33:35
still
33:35
embedded
33:36
in
33:36
their
33:36
core
33:37
culture,
33:37
but
33:37
what
33:38
I
33:38
liked
33:38
about
33:38
that
33:39
is
33:39
when
33:39
it
33:39
comes
33:40
to
33:40
consumer
33:40
goods
33:41
companies,
33:41
the
33:41
way
33:41
to
33:42
drive
33:42
significant
33:43
growth
33:44
outside
33:44
of
33:45
geographic
33:46
scale
33:47
is
33:47
incremental
33:49
new
33:49
product
33:49
launches.
33:51
And
33:51
so
33:51
you
33:52
really
33:52
have
33:52
to
33:52
nail
33:52
that.
33:53
Your
33:53
entire
33:54
year
33:54
is
33:55
based
33:55
on
33:55
how
33:56
do
33:56
you
33:56
launch,
33:57
drive,
33:58
grow,
33:58
scale
33:59
new
34:00
product.
34:00
And
34:00
so
34:01
the
34:01
two
34:02
big
34:02
things
34:02
around
34:02
there
34:02
is
34:03
speed
34:03
to
34:04
market
34:04
and
34:04
then
34:04
Quality
34:05
which
34:05
drives
34:06
incrementality.
34:07
And
34:07
so
34:07
if
34:08
they're
34:08
actually
34:09
hitting
34:09
both,
34:10
that
34:10
could
34:10
be
34:10
huge.
34:11
So
34:11
conceptually
34:13
I'm
34:13
buying
34:14
from
34:14
an
34:15
execution
34:15
standpoint
34:16
I
34:16
don't
34:16
think
34:16
it's
34:16
as
34:17
simple
34:17
as
34:17
that.
34:18
Leveraging
34:19
that
34:19
real
34:20
time
34:20
data
34:21
to
34:21
have
34:22
understanding
34:23
from
34:23
consumers
34:23
where
34:24
you
34:24
can
34:24
then
34:24
make
34:25
those
34:25
changes.
34:26
I
34:26
mean
34:26
right
34:26
now
34:27
most
34:27
consumer
34:28
goods
34:28
companies,
34:29
it's
34:29
anywhere
34:29
from
34:30
12
34:30
to
34:30
24
34:31
months
34:32
to
34:32
actually
34:33
launch
34:33
a
34:34
product
34:34
from
34:35
concept
34:35
to
34:35
in
34:35
market.
34:36
And
34:37
oftentimes
34:37
by
34:38
the
34:38
time
34:38
you
34:38
launch
34:39
that
34:39
trend
34:40
or
34:40
fad
34:41
is
34:41
already
34:41
late,
34:43
it's
34:43
already
34:43
packed.
34:44
And
34:45
so
34:45
if,
34:45
if,
34:46
if
34:46
reckon
34:46
can
34:47
actually
34:47
reduce
34:48
the,
34:48
the
34:48
time
34:49
to
34:49
launch
34:49
by
34:50
60%,
34:51
they
34:51
can
34:52
actually
34:53
be
34:53
there
34:54
while
34:54
the
34:54
trend
34:54
is
34:55
happening,
34:55
drive
34:56
those
34:56
incremental
34:57
sales
34:57
earlier
34:58
and
34:58
then
34:59
also
34:59
optimize
35:01
a
35:01
new
35:01
product
35:02
launch
35:03
to
35:03
actually
35:03
then
35:04
be
35:04
more
35:04
scaled
35:05
and
35:05
more
35:05
efficient.
35:06
So
35:06
if
35:06
they
35:07
can
35:07
can
35:07
do
35:07
this,
35:08
this
35:08
could
35:08
be
35:08
huge.
35:09
And
35:10
so
35:10
I'm
35:10
really
35:10
going
35:10
to
35:10
be
35:10
looking
35:11
forward
35:11
to
35:11
seeing
35:11
what
35:12
happens
35:12
with
35:12
this.
35:13
So
35:14
I'm
35:14
buying
35:15
this
35:15
technology
35:16
if
35:16
it
35:16
actually
35:16
says
35:17
what
35:17
it
35:17
does.
35:18
So
35:18
you're
35:18
buying
35:18
it.
35:19
Yeah.
35:19
It
35:19
reminds
35:19
me
35:20
of
35:20
one
35:20
of
35:20
my
35:20
favorite
35:21
quotes
35:21
too
35:21
which
35:21
is
35:21
I
35:22
think
35:22
from
35:22
ideo,
35:22
which
35:22
is
35:22
enlightened
35:23
trial
35:23
and
35:23
error
35:24
succeeds
35:24
over
35:24
planning
35:25
every
35:25
time.
35:25
And
35:25
what
35:25
you're
35:26
saying
35:26
is
35:26
that
35:26
AI
35:27
is
35:27
enlightening
35:27
the
35:28
trial
35:28
and
35:28
error
35:28
which
35:29
enables
35:29
them
35:29
to
35:29
bring
35:30
products
35:30
to
35:30
market
35:31
faster
35:31
and
35:31
to
35:31
innovate
35:32
more
35:32
quickly.
35:33
Yeah,
35:33
I
35:34
mean
35:34
if
35:34
you
35:34
think
35:34
about
35:34
it,
35:34
you
35:35
don't
35:35
actually
35:35
know
35:36
what's
35:36
going
35:36
to
35:37
happen
35:37
with
35:37
the
35:37
consumer
35:38
until
35:38
they
35:38
try
35:38
it.
35:39
So
35:39
if
35:39
you're
35:39
worried
35:40
about
35:40
perfection,
35:42
what
35:42
you
35:42
really
35:42
need
35:42
to
35:43
do
35:43
is
35:43
get
35:43
the
35:43
product
35:43
in
35:44
consumers
35:44
hands,
35:45
listen,
35:45
learn,
35:47
improve
35:47
it
35:47
and
35:48
then
35:48
continue
35:48
to
35:49
grow.
35:49
And
35:49
so
35:49
I
35:49
think
35:50
it's
35:50
a
35:50
continuous
35:51
process
35:53
so,
35:53
so
35:53
without
35:54
a
35:54
doubt,
35:55
yeah.
35:56
I'm
35:56
buying
35:56
it
35:56
too
35:57
man.
35:57
I
35:57
mean
35:57
I'm,
35:57
I'm,
35:57
I,
35:58
I,
35:58
I
35:59
particularly
36:00
the
36:00
applications
36:00
of
36:01
Gen
36:01
for
36:01
me
36:01
for
36:01
CPGs
36:02
relative
36:03
to
36:03
retailers
36:03
I
36:03
think
36:04
are
36:04
much,
36:04
much
36:05
stronger
36:05
and
36:05
much
36:05
more
36:06
readily
36:06
available
36:06
too.
36:07
That's
36:07
a
36:07
point
36:07
that
36:07
we've
36:08
made
36:08
on
36:08
this
36:08
show
36:08
a
36:08
number
36:08
of
36:08
times
36:09
because
36:09
and
36:09
I'll
36:10
never
36:10
forget
36:10
last
36:11
year
36:11
I
36:11
sat
36:11
in
36:11
at
36:12
Shop
36:12
Talk
36:12
on
36:12
a
36:13
Kellogg
36:13
professor
36:14
talking
36:14
about
36:14
how
36:15
to
36:15
do
36:15
this.
36:15
He
36:16
had
36:16
basically
36:16
built
36:16
out
36:17
an
36:17
entire
36:17
process
36:18
for
36:18
how
36:18
to
36:18
do
36:19
this.
36:19
And
36:19
I
36:19
was
36:19
sitting
36:20
in
36:20
there
36:20
speechless,
36:21
like
36:21
my
36:21
mouth
36:21
was
36:21
just
36:21
hanging
36:22
open
36:22
like
36:22
oh
36:23
my
36:23
God,
36:23
look
36:24
what
36:24
you
36:24
can
36:24
do
36:24
from
36:24
a
36:24
product
36:25
development
36:25
perspective.
36:26
And
36:26
if
36:26
I
36:26
was
36:26
a
36:26
CPG
36:27
executive
36:27
or
36:27
if
36:27
I
36:27
was
36:28
in
36:28
charge
36:28
of
36:28
private
36:28
label
36:29
brand
36:29
development
36:29
at
36:29
a
36:30
retailer,
36:30
the
36:30
first
36:31
thing
36:31
I
36:31
would
36:31
have
36:31
done
36:31
is
36:31
gone
36:31
up
36:32
to
36:32
that
36:32
guy
36:32
and
36:32
be
36:32
like,
36:33
I
36:33
want
36:33
you
36:33
to
36:33
take
36:33
this
36:34
to
36:34
my
36:34
company
36:35
right
36:35
now.
36:35
And
36:35
I'm
36:36
sure
36:36
if
36:36
he
36:36
can
36:36
do
36:36
it,
36:37
other
36:37
people
36:37
can
36:37
do
36:37
it.
36:38
And
36:38
so,
36:38
yeah,
36:39
I'm
36:39
with
36:39
Dave.
36:39
Like,
36:40
I
36:40
think,
36:40
I
36:40
think
36:40
this
36:41
is
36:41
probably
36:41
real.
36:42
The
36:42
devil
36:43
be
36:43
in
36:43
the
36:43
details
36:43
from
36:43
the
36:43
operations
36:44
perspective.
36:45
But,
36:45
Ann,
36:45
what
36:45
do
36:45
you
36:45
think?
36:46
Yeah,
36:46
no,
36:46
I
36:47
completely
36:47
agree.
36:48
I.
36:48
I've
36:49
actually
36:49
been
36:49
talking
36:49
to
36:49
quite
36:50
a
36:50
few
36:50
CPG
36:51
executives
36:52
in
36:52
preparation
36:52
for
36:53
a
36:53
session
36:53
I'm
36:53
doing
36:54
at
36:54
Shop
36:54
Talk.
36:55
And
36:55
what
36:55
I
36:55
think
36:56
is
36:56
even
36:56
crazier,
36:57
Chris,
36:57
and
36:57
might
36:57
blow
36:58
your
36:58
mind
36:58
this
36:58
year
36:58
at
36:59
Shop
36:59
Talk,
36:59
is
36:59
how
36:59
they've
37:00
taken
37:00
the,
37:00
the
37:00
smart
37:01
early
37:02
investors
37:02
in
37:04
AI
37:05
for
37:05
their
37:05
R
37:06
D
37:06
processes
37:07
and
37:07
collection
37:07
of
37:08
trend
37:08
data,
37:08
purchase
37:09
data,
37:09
focus
37:09
groups,
37:10
all
37:10
the
37:10
data
37:10
that
37:10
they're
37:10
collecting
37:11
to
37:11
inform
37:12
where
37:12
they
37:12
take
37:12
their
37:13
products.
37:13
Now
37:14
they're
37:14
building
37:15
AI
37:15
agents
37:16
to
37:17
go
37:17
in
37:17
and
37:18
kind
37:18
of
37:18
cross
37:19
check
37:19
what,
37:19
what
37:20
the
37:20
AI
37:20
has
37:21
found,
37:21
what
37:22
the
37:22
people
37:22
working
37:23
at
37:23
the
37:23
CPG
37:24
organization
37:24
have
37:24
found
37:25
as
37:25
like
37:25
a
37:25
third
37:25
party
37:26
check
37:26
on
37:27
what's
37:27
been
37:27
happening
37:28
here.
37:28
So
37:29
there's
37:29
already
37:29
companies
37:30
that
37:30
are
37:30
like
37:30
light
37:31
years
37:31
ahead
37:31
on
37:32
really
37:32
trying
37:32
to
37:33
maximize
37:34
how
37:34
they're
37:34
applying
37:35
Genai
37:35
and
37:35
AI
37:36
tools
37:36
to
37:37
this
37:37
process.
37:38
So
37:38
it's.
37:38
I'm
37:39
100%
37:39
buying
37:40
it.
37:40
Because
37:41
what
37:41
a
37:41
CPG
37:41
does
37:41
is
37:42
different
37:42
than
37:42
what
37:42
a
37:42
retailer
37:43
does
37:43
fundamentally
37:43
at
37:44
the
37:44
end
37:44
of
37:44
the
37:44
day.
37:44
Correct.
37:45
And
37:45
one
37:45
of
37:45
the
37:46
things
37:46
I
37:46
would
37:46
love
37:46
to
37:47
understand
37:47
is
37:48
how
37:49
does
37:49
Genai
37:49
take
37:50
into
37:50
account
37:51
your
37:51
actual
37:52
route
37:52
to
37:52
market
37:52
and
37:53
production
37:53
capabilities.
37:55
So
37:55
you
37:55
can,
37:55
you
37:56
can
37:56
fundamentally
37:56
say
37:57
this
37:57
is
37:57
the
37:57
next
37:58
trend,
37:58
this
37:58
is
37:58
the
37:58
next
37:59
product
37:59
you
37:59
have,
37:59
but
37:59
if
37:59
you
37:59
don't
38:00
have
38:00
the
38:00
capacity,
38:01
the
38:01
capabilities,
38:04
the
38:04
actual
38:04
logistics,
38:06
then
38:06
it's
38:07
more
38:07
of
38:07
a
38:07
conceptual,
38:08
theoretical
38:09
piece.
38:10
So
38:10
I
38:10
think
38:10
that
38:10
would
38:10
be
38:11
interesting.
38:12
And
38:12
as
38:12
it
38:12
relates
38:13
to
38:13
a
38:13
lot
38:13
of
38:14
cpg,
38:15
it's
38:16
not
38:16
fast
38:16
fashion
38:17
as
38:17
it
38:17
relates
38:18
to
38:18
beauty
38:19
and
38:20
retail.
38:20
So
38:20
I
38:21
would
38:21
love
38:21
to
38:21
see
38:21
how
38:22
this
38:22
can
38:22
actually
38:22
be
38:23
democratized
38:24
to
38:24
where
38:25
speed
38:25
is
38:25
the
38:25
most
38:26
important
38:26
thing
38:27
for
38:27
innovation
38:28
with
38:28
certain
38:29
categories
38:29
like
38:29
that.
38:30
So
38:30
I
38:30
think
38:30
there's
38:30
a
38:30
lot
38:30
of
38:30
interesting
38:31
things
38:31
with
38:31
Gen
38:32
I
38:32
that,
38:32
that
38:32
we're
38:32
going
38:32
to
38:33
see
38:33
in
38:33
the
38:33
next,
38:34
you
38:34
know,
38:34
3,
38:35
6,
38:35
12,
38:35
18
38:36
months.
38:36
I'm
38:37
really
38:37
excited
38:37
to
38:37
see
38:37
where
38:37
it
38:38
goes.
38:38
It's
38:39
kind
38:39
of
38:39
crazy
38:39
that
38:39
we're
38:39
still
38:39
in
38:40
year
38:40
two
38:40
of
38:40
this
38:40
whole
38:40
thing.
38:41
All
38:41
right,
38:42
all
38:42
right,
38:43
other
38:43
Chris,
38:44
what
38:44
are
38:44
your
38:44
final
38:44
thoughts
38:45
on
38:45
this
38:45
wreck
38:46
it
38:46
story?
38:46
No,
38:47
I
38:47
think
38:47
you
38:47
guys
38:48
had
38:48
some
38:48
really
38:48
good
38:48
points.
38:49
We
38:50
talked
38:50
a
38:50
lot
38:50
about
38:50
like
38:51
in
38:52
customer
38:52
insight
38:53
and
38:53
sentiment
38:53
generation
38:54
and
38:54
how
38:55
that'll
38:55
help
38:55
you
38:55
reframe,
38:56
you
38:57
know,
38:57
possibly
38:57
failing
38:58
products
38:58
or
38:58
invent
38:59
new
38:59
products.
38:59
I
38:59
Think
38:59
that's,
39:00
that's
39:00
all.
39:00
It
39:01
makes
39:01
a
39:01
ton
39:01
of
39:01
sense.
39:02
The
39:02
other
39:02
thing
39:02
is,
39:03
I
39:03
think
39:03
like
39:03
when
39:03
you
39:04
think
39:04
about
39:04
speed
39:04
to
39:04
market,
39:05
there's
39:05
like
39:06
product
39:06
design
39:07
and
39:08
like
39:08
feature
39:09
innovation
39:09
and
39:10
all
39:10
that,
39:10
but
39:10
there's
39:11
the
39:11
second
39:11
half
39:11
of
39:11
that
39:12
Speed
39:12
to
39:12
market
39:12
is
39:13
like
39:13
the
39:13
marketing
39:14
campaigns
39:15
too,
39:15
which
39:15
I
39:15
think
39:16
this
39:16
will
39:16
also
39:16
help
39:17
of.
39:17
How
39:17
do
39:17
you
39:18
localize
39:18
and
39:19
adapt
39:19
the
39:20
main
39:20
marketing
39:21
messages
39:21
from
39:21
wherever
39:22
the
39:22
product
39:22
originated
39:23
to,
39:23
to
39:23
the,
39:24
you
39:24
know,
39:24
if
39:24
you're
39:24
a
39:24
multinational,
39:25
30,
39:25
40
39:26
other
39:26
countries
39:26
where
39:27
you're
39:27
trying
39:27
to
39:27
sell
39:27
this
39:28
product,
39:28
which
39:28
can
39:29
actually
39:29
slow
39:29
down
39:30
that
39:30
speed
39:30
to
39:30
speed
39:31
to
39:31
market
39:31
as
39:31
well,
39:31
I
39:32
think
39:32
is
39:32
a
39:32
whole
39:32
nother
39:33
interesting
39:34
kind
39:34
of
39:34
lens
39:35
too.
39:35
Right.
39:35
It
39:35
speeds
39:36
up
39:36
the
39:36
innovation
39:36
process.
39:37
It
39:37
also
39:37
speeds
39:38
up
39:38
the
39:38
marketing
39:39
campaigns
39:39
and
39:39
launch
39:40
process
39:40
to
39:40
get
39:40
you
39:41
that
39:41
faster
39:41
go
39:41
to
39:41
market
39:42
time.
39:43
Yeah.
39:43
And
39:43
that
39:44
was
39:44
the
39:44
number
39:44
one
39:44
use
39:44
case
39:45
that
39:45
I
39:45
heard
39:45
loud
39:45
and
39:45
clear
39:46
throughout
39:46
most
39:46
of
39:47
last
39:47
year
39:47
with
39:47
the
39:47
CPG
39:48
brands
39:48
that
39:48
Ann
39:49
and
39:49
I
39:49
were
39:49
talking
39:49
to.
39:50
All
39:51
right,
39:51
let's
39:51
go
39:51
to
39:51
headline
39:52
number
39:52
five,
39:52
guys.
39:54
Portillo's.
39:55
I
39:55
can't
39:56
even
39:56
say
39:56
the
39:56
name
39:56
of
39:56
the
39:57
restaurant.
39:57
The
39:58
hot
39:58
dog
39:58
chain.
39:59
Clearly
39:59
I'm
39:59
not
39:59
a
39:59
frequent,
40:00
frequent
40:01
visitor
40:01
at
40:01
the
40:02
hot
40:02
dog.
40:02
Missing
40:03
out
40:03
and
40:03
missing
40:03
out.
40:04
I'm
40:04
missing
40:04
out.
40:05
They
40:05
hope
40:06
that
40:06
their
40:06
new
40:06
loyalty
40:07
program
40:07
based
40:08
in
40:08
digital
40:08
wallets
40:09
can
40:09
offer
40:09
personalized
40:10
options
40:10
for
40:11
guests
40:11
and
40:11
businesses
40:12
without
40:12
the
40:13
issue
40:13
of
40:14
app
40:14
fatigue.
40:15
According
40:15
to
40:15
Marketing
40:15
Dive,
40:16
Portillo's
40:16
has
40:16
added
40:17
a
40:17
loyalty
40:17
program
40:18
called
40:18
Portillo's
40:19
Perks
40:19
in
40:19
which
40:19
rewards
40:20
are
40:20
based
40:20
on
40:20
frequency
40:21
and
40:21
consumption
40:22
habits
40:22
rather
40:23
than
40:23
banked
40:23
points
40:24
redeemed
40:24
by
40:24
the
40:25
consumer.
40:25
The
40:26
frequency
40:26
element
40:26
of
40:26
the
40:26
reward
40:27
structure
40:27
combined
40:28
with
40:28
digital
40:28
wallets
40:29
rather
40:30
than
40:30
traditional
40:30
app
40:31
based
40:31
programs,
40:32
quote,
40:32
allows
40:32
us
40:33
to
40:33
truly
40:33
personalize
40:34
offers
40:34
so
40:35
we're
40:35
able
40:35
to
40:35
surprise
40:36
and
40:36
delight
40:36
our
40:37
guests
40:37
with
40:37
easy
40:38
access
40:38
and
40:38
relevant
40:39
rewards.
40:40
End
40:40
quote.
40:40
Portillo's
40:41
CEO
40:42
said,
40:42
Dave,
40:43
because
40:44
you
40:44
are
40:45
our
40:45
double
40:45
chicken,
40:46
Dave,
40:46
sweet
40:46
green
40:47
loyalist,
40:47
you
40:48
have
40:48
the
40:48
most
40:48
QSR
40:49
experience.
40:49
That
40:49
means
40:50
what
40:50
do
40:50
you
40:51
think
40:51
of
40:51
the
40:51
idea
40:51
of
40:52
driving
40:52
loyalty
40:53
via
40:53
a
40:53
digital
40:54
wallet
40:55
versus
40:55
an
40:55
app?
40:56
And
40:56
do
40:56
you
40:56
think
40:57
that
40:57
app
40:57
fatigue
40:58
is
40:58
a
40:58
legitimate
40:59
reason
40:59
to
41:00
press
41:00
forward
41:00
with
41:01
a
41:01
wallet
41:01
based
41:01
approach?
41:03
I
41:04
do
41:04
not
41:04
know
41:05
if
41:05
this
41:05
will
41:05
have
41:06
any
41:06
impact
41:07
on
41:08
sales
41:09
or
41:09
traffic,
41:10
but
41:10
what
41:10
I
41:10
can
41:11
say
41:11
is
41:12
app
41:12
fatigue
41:12
I
41:13
believe
41:13
is
41:13
real.
41:14
Really?
41:15
Tell
41:16
me
41:16
more.
41:17
So
41:18
I,
41:18
I
41:18
think
41:18
this
41:19
concept
41:19
of
41:21
food
41:22
aggregators,
41:22
I'm
41:22
not
41:23
even
41:23
aggregators
41:23
delivery
41:24
like
41:24
you
41:24
have
41:25
doordash,
41:26
you
41:26
have
41:26
Uber
41:27
Eats,
41:27
you
41:28
have
41:28
toast,
41:28
you
41:28
have
41:29
chow
41:29
now
41:30
where
41:30
you
41:30
have
41:31
a
41:31
plethora
41:32
of
41:33
QSR
41:34
restaurants
41:35
at
41:35
your
41:35
fingertips
41:36
that
41:36
also
41:36
have
41:37
loyalty
41:37
connected
41:38
to
41:38
it
41:39
like
41:40
Dash
41:40
Fast.
41:41
I
41:41
think
41:41
that
41:42
is
41:42
a
41:42
more
41:42
seamless
41:43
way
41:44
the
41:45
Amazons
41:45
of
41:46
food
41:47
and
41:47
delivery
41:48
and
41:48
pickup
41:49
and
41:49
so
41:49
when
41:49
you
41:49
have
41:50
individual
41:51
apps
41:52
where
41:52
they
41:52
might
41:52
have
41:52
loyalty
41:53
or
41:53
they
41:53
even
41:54
don't
41:54
and
41:54
they're
41:54
just
41:55
trying
41:55
to
41:55
get
41:55
your
41:56
information,
41:57
I
41:57
think
41:58
is
41:58
not
41:58
going
41:58
with
41:59
where
41:59
the
41:59
consumer
42:00
is.
42:00
I
42:00
think
42:00
having
42:01
something
42:01
that's
42:01
a
42:02
little
42:02
bit
42:02
more
42:04
with
42:05
the
42:06
daily
42:06
use
42:06
case
42:07
of
42:08
a
42:08
digital
42:08
wallet
42:09
is
42:09
something
42:10
that
42:10
is
42:10
novel
42:11
and
42:11
interesting.
42:12
Now
42:12
will
42:12
it
42:12
actually
42:13
drive
42:14
that
42:14
level
42:14
of
42:15
loyalty
42:15
and
42:16
repeat
42:16
that
42:17
they're
42:17
hoping?
42:18
Not
42:18
sure.
42:19
But
42:19
I
42:19
think
42:19
it's
42:19
a
42:20
really
42:20
interesting
42:20
pilot
42:21
to
42:21
test
42:21
that's
42:22
outside
42:22
of
42:22
the
42:22
app.
42:23
Personally,
42:24
I
42:24
was
42:24
going
42:24
to
42:24
say,
42:24
you
42:24
guys
42:25
know
42:25
my
42:25
affinity
42:26
for
42:26
sweetgreen.
42:27
I
42:27
couldn't
42:27
tell
42:28
you
42:28
the
42:28
last
42:28
time
42:28
I
42:28
used
42:29
the
42:29
Sweetgreen
42:29
app.
42:30
You
42:30
know,
42:30
everything
42:31
I
42:31
do
42:31
is
42:31
through
42:31
DoorDash
42:32
because
42:33
my
42:34
whole
42:34
world
42:34
through
42:34
that
42:35
and
42:35
when
42:35
I'm
42:35
just
42:35
there,
42:36
I
42:36
just,
42:36
just
42:37
order
42:37
it
42:37
normally.
42:38
Especially
42:38
considering
42:39
the
42:39
loyalty
42:39
doesn't
42:40
exist
42:40
or
42:40
go
42:40
as
42:40
far
42:41
anymore,
42:42
but
42:43
at
42:43
least
42:43
a,
42:44
you
42:44
know,
42:44
sample
42:45
size
42:45
of
42:45
1.
42:46
I
42:46
have
42:46
almost
42:47
no
42:47
apps
42:48
now
42:48
related
42:49
to
42:49
restaurants
42:49
and
42:50
qsr.
42:51
It's
42:51
all
42:52
aggregators.
42:52
So.
42:53
Interesting.
42:55
It'd
42:55
be
42:55
interesting
42:56
to
42:56
see
42:56
if
42:56
something
42:56
like
42:57
this
42:57
works.
42:57
But
42:57
if
42:57
you
42:58
think
42:58
about
42:58
it,
42:58
most
42:58
of
42:58
the
42:58
consumers
42:59
use
42:59
their
42:59
digital
43:00
wallet
43:00
more
43:00
than
43:00
anything.
43:01
So
43:02
fish,
43:02
where
43:02
your
43:02
fish
43:03
with
43:03
the
43:03
fish
43:03
are
43:03
is
43:03
what
43:03
I'll
43:04
say,
43:04
right?
43:05
Interesting.
43:06
Yeah,
43:06
I,
43:06
to
43:07
me,
43:07
like,
43:07
I
43:07
don't
43:08
know
43:08
if
43:08
I'm
43:08
not
43:08
understanding
43:09
this
43:09
correctly,
43:10
but
43:10
to
43:10
me
43:10
this
43:11
is
43:11
like
43:11
the
43:11
equivalent
43:12
of
43:12
just
43:12
a
43:12
digital
43:13
version
43:13
of
43:13
like
43:14
my
43:14
Starbucks
43:14
card,
43:15
like
43:15
my
43:15
gold
43:16
card.
43:16
That's
43:16
now
43:16
like,
43:17
I'm
43:18
not
43:18
understanding
43:18
the
43:19
benefit
43:19
of
43:19
this
43:19
either.
43:21
I
43:21
don't
43:21
know
43:21
if
43:21
I
43:21
can
43:22
side
43:22
on
43:22
you
43:22
with
43:22
the
43:22
app
43:23
fatigues
43:24
portion
43:25
of
43:25
it
43:25
because
43:25
I
43:25
think
43:25
when
43:26
you
43:26
are
43:26
frequenting
43:27
certain
43:27
places,
43:28
like
43:28
Starbucks,
43:28
for
43:29
example,
43:29
like
43:29
I
43:29
use
43:30
my
43:30
Starbucks
43:30
Apple
43:30
five
43:31
times
43:31
a
43:31
week.
43:32
No
43:32
problem
43:33
at
43:33
all.
43:33
But
43:33
I
43:34
think
43:34
you're
43:34
bringing
43:34
up
43:34
an
43:34
important
43:35
point
43:35
though
43:35
that
43:35
I
43:35
hadn't
43:36
thought
43:36
about,
43:36
which
43:36
is
43:36
like,
43:37
yes,
43:37
now
43:38
there's
43:38
all
43:38
this
43:38
consolidation
43:39
that's
43:39
happening
43:40
and
43:40
are
43:40
you
43:40
just
43:40
going
43:41
directly
43:41
to
43:42
your,
43:42
your
43:42
delivery
43:43
apps,
43:43
your
43:44
Uber
43:44
eats,
43:44
your
43:44
door
43:44
dashes,
43:45
Chris
43:46
Creets,
43:46
where
43:47
do
43:47
you
43:47
fall?
43:48
Yeah,
43:49
first
43:49
of
43:50
all,
43:50
I'm
43:50
updating
43:50
Dave's
43:51
contact
43:51
information
43:52
on
43:52
my
43:52
phone
43:52
to
43:52
double
43:53
check
43:53
in.
43:53
Dave?
43:54
Yes,
43:55
that's
43:55
how.
43:55
That's
43:55
the
43:55
only
43:56
way
43:56
we
43:56
refer
43:56
to
43:56
him
43:57
here.
43:57
Only
43:57
way.
43:58
Yeah,
43:58
it's
43:58
gotten
43:59
two
43:59
years.
44:00
Yeah,
44:01
I
44:02
mean,
44:02
I
44:02
think,
44:02
I
44:02
think
44:02
it's
44:03
funny,
44:03
right?
44:03
I'm,
44:03
I'm
44:03
like,
44:04
let's
44:04
be
44:04
real.
44:04
I'm
44:04
a.
44:04
I'm,
44:05
I'd
44:05
be
44:05
a
44:05
little
44:06
self
44:06
conscious
44:06
to
44:06
have
44:07
a
44:07
hot
44:07
dog
44:07
ordering
44:08
app
44:08
on
44:08
my
44:08
phone.
44:09
Like
44:09
where,
44:09
where
44:09
have
44:10
I
44:10
got
44:10
to.
44:10
In
44:10
life
44:10
where
44:11
I
44:11
have
44:11
a
44:11
hot
44:11
dog
44:11
ordering
44:12
app?
44:13
So,
44:14
so
44:14
I
44:14
don't,
44:14
I
44:14
mean,
44:14
I
44:15
don't
44:15
think
44:15
it's
44:15
that
44:15
much
44:16
different
44:16
than,
44:17
than
44:17
having
44:18
an
44:18
app.
44:18
It's
44:18
like,
44:19
you
44:19
know,
44:19
you
44:19
still
44:20
give
44:20
them
44:20
your
44:20
information,
44:21
you
44:21
still
44:21
sign
44:21
up
44:21
with
44:22
your
44:22
email,
44:22
and
44:23
to
44:23
your
44:23
point,
44:23
it
44:23
just
44:24
appears
44:24
like
44:24
a
44:24
boarding
44:25
pass
44:25
in
44:25
your
44:25
wallet.
44:26
Yeah,
44:27
it's
44:27
really
44:27
easy
44:28
to
44:28
use,
44:28
so
44:28
I
44:29
don't
44:29
see
44:29
any
44:29
downside
44:30
here.
44:31
I
44:31
think
44:31
the
44:32
interesting
44:32
part,
44:33
I
44:33
used
44:33
it
44:33
this
44:33
morning,
44:34
or
44:34
I
44:34
played
44:34
with
44:34
it
44:34
this
44:34
morning.
44:35
I
44:35
lived
44:35
in
44:35
Chicago
44:35
for
44:36
10
44:36
years,
44:36
so
44:36
I
44:36
was
44:37
interested
44:37
in
44:37
this.
44:37
One
44:38
of
44:39
the
44:39
interesting
44:40
things
44:40
I
44:40
thought
44:40
was
44:40
you
44:40
don't
44:41
earn
44:41
any
44:41
of
44:41
their
44:42
loyalty
44:42
rewards
44:43
or
44:43
perks
44:44
and
44:44
a
44:44
visit
44:44
doesn't
44:45
count
44:45
unless
44:45
you
44:46
spend
44:46
at
44:46
least
44:46
$10,
44:48
which
44:48
I
44:48
thought
44:48
was
44:49
like
44:49
a
44:49
really
44:49
interesting
44:50
kind
44:50
of
44:51
basket
44:52
building
44:52
price
44:52
point
44:53
for
44:53
them.
44:54
But
44:54
I
44:54
like
44:54
the
44:55
concept.
44:55
I
44:55
get
44:55
why
44:56
people
44:56
aren't
44:56
going
44:56
to
44:57
install
44:57
one
44:57
more
44:58
app
44:58
for
44:58
a
44:58
restaurant
44:59
that
44:59
maybe
44:59
isn't
44:59
so
45:00
core
45:00
to
45:00
their
45:00
identity,
45:01
like
45:01
Starbucks.
45:02
So
45:02
I
45:02
like
45:02
the
45:03
idea.
45:03
Okay.
45:04
I
45:04
think
45:04
apps
45:05
work
45:05
if
45:05
it's,
45:06
if
45:06
it's
45:06
retail
45:08
or,
45:09
you
45:09
know,
45:09
something
45:10
that's
45:10
around
45:10
more
45:11
fashion
45:11
or
45:11
retail,
45:12
not
45:12
necessarily
45:13
food.
45:13
And
45:14
those
45:14
food
45:14
is
45:14
the
45:14
delivery
45:15
apps,
45:16
not
45:16
specific
45:17
restaurants.
45:18
Starbucks
45:18
is
45:18
different
45:19
because
45:19
Starbucks
45:20
is
45:20
a
45:20
daily
45:21
routine
45:21
than
45:22
if
45:22
you
45:22
go
45:22
to
45:22
a
45:22
restaurant
45:23
once
45:24
every
45:24
three,
45:25
four
45:25
weeks
45:26
or
45:26
maybe,
45:26
maybe
45:27
you
45:27
get
45:27
a
45:27
hot
45:27
dog
45:27
every
45:28
day.
45:28
You
45:28
know,
45:28
you
45:29
do,
45:29
you.
45:30
We
45:30
don't
45:30
judge,
45:30
we
45:31
don't
45:31
judge
45:31
people's,
45:32
people's
45:33
QSR
45:33
habits
45:34
on
45:34
this
45:34
show.
45:35
That's
45:35
another
45:35
whole
45:36
nother
45:36
podcast.
45:36
Okay,
45:37
Chris
45:37
Walton,
45:38
I
45:38
know
45:38
you
45:38
have
45:38
some
45:39
differing
45:39
opinions
45:39
here
45:40
based
45:40
on
45:40
our
45:41
prep
45:41
discussions,
45:42
but
45:42
what
45:43
is
45:43
your
45:43
thought
45:43
on
45:44
app
45:44
fatigue
45:44
and
45:45
where
45:45
do
45:45
you
45:45
fall
45:46
within
45:46
all
45:46
of
45:46
these
45:46
opinions?
45:48
Yeah,
45:48
I,
45:48
well,
45:48
first
45:48
of
45:49
all,
45:49
an
45:49
app
45:49
fatigue.
45:49
I
45:50
100%
45:51
disagree
45:51
with
45:51
David.
45:52
With
45:52
all
45:52
respect,
45:53
like,
45:53
I,
45:53
I
45:53
have
45:53
been
45:53
hearing
45:54
about
45:54
app
45:54
fatigue
45:55
since
45:55
2010.
45:56
I
45:56
think
45:56
it's
45:56
just
45:57
a
45:57
baloney
45:58
excuse
45:58
for
45:58
many
45:59
people
45:59
that
45:59
just
45:59
can't
46:00
get
46:00
people
46:00
to
46:00
find
46:01
value
46:01
in
46:01
their
46:01
app.
46:02
That
46:02
is
46:02
essentially
46:03
why
46:04
you're
46:04
hearing
46:04
this.
46:04
And
46:05
so
46:05
the
46:05
second
46:05
piece
46:06
of
46:06
this
46:06
to
46:06
me
46:07
is,
46:07
you
46:07
know,
46:08
what's,
46:08
what's
46:08
going
46:08
on
46:08
at
46:09
Portillo's
46:09
from
46:09
an
46:10
executive
46:10
perspective.
46:11
You
46:11
know,
46:11
if
46:12
you
46:12
think
46:12
digital
46:12
wallets
46:13
are
46:13
better,
46:14
like
46:14
Chris
46:14
seems
46:15
like
46:15
he
46:15
liked
46:15
it.
46:15
Okay,
46:16
just
46:16
say
46:16
that.
46:16
Come
46:17
out
46:17
and
46:17
say
46:17
that.
46:18
Yeah,
46:18
don't
46:18
say
46:18
that.
46:18
It's
46:19
because
46:19
people
46:19
have
46:19
app
46:20
fatigue.
46:20
That's
46:20
just,
46:20
that's
46:21
just
46:21
baloney.
46:22
They
46:22
have
46:22
App
46:23
fatigue.
46:23
Because
46:23
you
46:23
haven't
46:24
been
46:24
providing
46:24
value
46:25
to
46:25
them.
46:25
So
46:25
you've
46:26
talked
46:26
about
46:26
Starbucks.
46:27
Dave,
46:27
I
46:27
would
46:27
disagree
46:28
with
46:28
you
46:28
here.
46:28
Chick
46:28
Fil
46:29
A.
46:29
Chick
46:30
Fil
46:30
A's
46:30
got
46:30
the
46:30
best
46:31
app
46:31
out
46:32
there,
46:32
and
46:32
so
46:32
contacts
46:33
matter.
46:33
So
46:34
Portillo's.
46:35
But.
46:35
And
46:35
here's
46:35
the
46:35
other
46:35
thing.
46:36
Portillo
46:36
sites
46:37
pound,
46:37
like
46:37
the
46:38
article
46:38
says
46:38
they
46:38
do.
46:38
$9
46:39
million
46:40
a
46:40
year,
46:40
and
46:41
with
46:41
volume
46:41
like
46:42
that,
46:42
your
46:42
customers
46:42
should
46:43
want
46:43
to
46:43
use
46:44
your
46:44
app.
46:44
I
46:45
like
46:45
Portillo's.
46:46
We
46:46
have
46:46
one
46:46
in
46:46
Minnesota.
46:46
I
46:47
go
46:47
there
46:47
regularly.
46:47
I
46:48
get
46:48
more
46:48
than
46:48
hot
46:48
dogs.
46:48
They
46:49
also
46:49
got
46:49
nice
46:49
Italian
46:50
beef
46:50
sandwiches,
46:50
I
46:51
might
46:51
add.
46:52
And
46:52
their
46:52
app.
46:53
Their
46:54
app
46:54
is
46:54
someone
46:54
who's
46:54
been
46:55
in
46:55
this
46:55
space.
46:55
I.
46:55
I'd
46:56
grade
46:56
it
46:56
like
46:56
a
46:56
5
46:57
or
46:57
a
46:57
6
46:57
at
46:58
best
46:58
compared
46:59
to,
46:59
you
46:59
know,
47:00
what
47:00
you
47:00
get
47:00
from
47:00
a
47:01
Chick
47:01
Fil
47:01
A.
47:01
So.
47:02
So
47:02
I
47:02
think
47:02
that's
47:03
the
47:03
real
47:03
issue
47:04
here.
47:04
And
47:04
that
47:05
based
47:05
on.
47:05
On
47:06
their
47:06
recent
47:06
performance,
47:07
because
47:07
they've
47:07
had
47:07
a
47:07
down
47:08
year
47:08
too.
47:08
I
47:08
wonder
47:09
if
47:09
the
47:09
executive
47:09
team
47:10
really
47:10
gets
47:10
that
47:11
or
47:11
is
47:11
just
47:11
kind
47:12
of
47:12
fumbling
47:12
in
47:12
the
47:12
dark
47:13
for
47:13
trying
47:13
to
47:13
find
47:14
an
47:14
answer
47:14
to
47:14
loyalty
47:15
when
47:15
it
47:16
might
47:16
actually
47:16
be
47:16
staring
47:16
in
47:17
the
47:17
face.
47:17
Because
47:18
getting
47:18
Chris
47:19
to
47:19
do
47:19
this
47:19
is
47:20
new.
47:20
It's
47:20
a
47:20
new
47:21
consumer
47:21
acclimation
47:22
issue
47:22
that
47:23
you're
47:23
creating,
47:23
and
47:24
you
47:24
don't
47:24
know
47:24
what's
47:24
in
47:25
front
47:25
of
47:25
you.
47:25
Whereas
47:25
if
47:25
you
47:25
can
47:26
get
47:26
your
47:26
actual
47:26
app
47:27
to
47:27
work
47:27
harder
47:28
for
47:28
you,
47:28
as
47:29
other
47:29
people
47:29
like
47:29
Chick
47:30
Fil
47:30
A
47:30
can
47:30
do,
47:31
I
47:31
think
47:31
that's
47:31
a
47:32
smart
47:32
move.
47:32
So
47:32
I
47:33
don't
47:33
think
47:33
it's
47:33
an
47:33
either
47:33
or
47:34
situation
47:34
either
47:34
at
47:35
the
47:35
end
47:35
of
47:35
the
47:35
day,
47:35
but
47:36
I
47:36
don't
47:36
think
47:36
you
47:36
should
47:36
be
47:36
like,
47:37
we're
47:37
disavowing
47:38
our
47:38
app
47:38
because
47:38
of
47:38
app
47:39
fatigue.
47:39
I
47:39
think
47:39
that's
47:40
just
47:40
absolute
47:41
bs.
47:43
All
47:43
right,
47:44
well,
47:45
there
47:45
you
47:46
have
47:46
it.
47:46
That
47:47
the.
47:48
The
47:48
tribe
47:48
is
47:48
the
47:48
first
47:49
time
47:49
Chris.
47:49
And
47:49
I
47:49
have
47:50
ever
47:50
disagreed
47:51
in
47:51
this
47:51
entire.
47:52
I
47:52
know,
47:52
right?
47:52
Yeah.
47:53
Eight
47:53
times.
47:54
Did
47:54
I
47:54
bring
47:54
you
47:54
to
47:54
my
47:55
side,
47:55
though,
47:55
Dave,
47:56
or
47:56
what?
47:56
I
47:56
don't
47:57
partially.
47:57
I.
47:58
I
47:59
don't
47:59
need
47:59
a
47:59
thousand
48:00
different
48:00
apps.
48:00
I
48:01
think
48:01
I.
48:01
I
48:01
think
48:01
it's
48:02
different
48:02
if
48:02
you're
48:02
a
48:02
loyalist
48:03
and
48:03
you
48:03
go
48:03
to
48:03
Portillo's
48:04
every
48:05
week
48:05
or
48:05
every
48:05
two
48:05
weeks.
48:06
That's
48:06
different.
48:06
Like,
48:07
I
48:07
still
48:07
have
48:07
some
48:07
qsr,
48:08
but
48:09
there
48:09
are
48:09
other
48:09
ones.
48:09
I'm
48:10
just
48:10
like,
48:10
I
48:10
haven't
48:10
used
48:10
you
48:11
in
48:11
a
48:11
couple
48:11
of
48:11
months.
48:12
Like,
48:12
I'm
48:12
gonna
48:12
get
48:13
rid
48:13
of
48:13
it.
48:14
Yeah.
48:14
Yeah.
48:14
Right.
48:15
Cause
48:15
there's
48:15
no
48:15
value
48:15
in
48:16
them
48:16
for
48:16
you.
48:16
Right.
48:16
So
48:16
that's
48:17
right.
48:17
But,
48:17
yeah,
48:18
I
48:18
mean,
48:19
I
48:19
download
48:19
the
48:20
McDonald's
48:20
app
48:21
every
48:21
summer
48:21
again,
48:22
because
48:22
it
48:23
seems
48:23
like
48:23
during
48:23
the
48:24
summer,
48:24
that's
48:24
the
48:24
time
48:24
that
48:25
we're
48:25
using
48:25
it.
48:25
So
48:26
I
48:26
don't
48:26
know,
48:27
I
48:28
guess
48:28
to
48:28
each.
48:29
To
48:29
each
48:29
their
48:29
own.
48:30
Let's
48:31
go
48:31
to
48:31
the
48:31
lightning
48:32
round
48:32
and
48:32
get
48:32
us
48:33
out
48:33
of
48:33
this
48:33
conversation.
48:34
The
48:35
first
48:36
goes
48:36
to
48:37
you,
48:37
Dave.
48:37
A
48:38
recent
48:38
study
48:38
conducted
48:39
by
48:39
Dalhousie
48:40
University
48:41
and
48:41
cattle
48:42
claims
48:42
that
48:43
eight
48:43
in
48:43
10
48:43
Canadians
48:44
are
48:44
willing
48:45
to
48:45
switch
48:45
brands
48:46
or
48:46
stores
48:46
for
48:46
better
48:47
deals
48:47
given
48:47
the
48:48
current
48:48
economic
48:48
climate.
48:50
Dave,
48:50
what's
48:50
one
48:51
product
48:51
that
48:52
you
48:52
won't
48:52
switch
48:53
stores
48:53
or
48:54
brands
48:54
for?
48:56
This
48:56
is.
48:57
This
48:57
has
48:57
been
48:57
my
48:57
new
48:58
product
48:58
of,
48:59
of
48:59
choice.
48:59
It's.
49:00
Oh,
49:00
gosh.
49:01
You're
49:02
like,
49:02
what's
49:02
so
49:02
sexy?
49:04
Olipop.
49:05
You
49:05
know
49:05
Olipop?
49:06
Oh,
49:06
yeah.
49:07
Oh,
49:07
yeah.
49:08
So
49:08
prebiotic
49:09
soda.
49:09
Yeah,
49:10
I,
49:10
so
49:10
I,
49:11
I
49:11
didn't
49:11
realize
49:11
I
49:12
liked
49:12
soda
49:13
because
49:13
I
49:13
just
49:14
stayed
49:14
away
49:14
from
49:14
soda,
49:15
but
49:15
I
49:15
realized
49:16
I
49:16
really
49:17
like
49:17
soda
49:18
and
49:18
I.
49:18
And
49:19
I
49:19
think
49:19
Olipop
49:20
is
49:22
a
49:22
great
49:22
alternative
49:24
and
49:25
I
49:25
hit
49:25
my
49:25
fiber
49:26
goals.
49:26
Just
49:27
don't
49:27
tell
49:27
my
49:27
wife
49:28
that
49:29
there's
49:29
caffeine
49:29
in
49:30
it
49:30
because
49:30
we
49:30
have
49:30
it
49:30
at
49:31
night.
49:31
And
49:31
if
49:31
so
49:31
she
49:32
finds
49:32
out
49:32
there's
49:32
caffeine
49:33
in
49:33
it,
49:33
she
49:33
probably
49:33
won't
49:34
be,
49:34
you
49:34
know,
49:34
having
49:35
with
49:35
me,
49:35
with
49:36
me
49:36
anymore.
49:37
So
49:37
you're
49:37
not,
49:38
you're
49:38
not
49:38
going
49:38
to
49:39
the
49:39
good
49:39
and
49:39
gather
49:40
Target
49:40
brand
49:41
of
49:41
Olipop.
49:41
You
49:42
are
49:42
an
49:42
Olipop
49:43
loyalist.
49:43
I
49:44
am
49:44
an
49:44
Olipop
49:45
vintage
49:45
cola
49:46
fan
49:47
and
49:48
we
49:48
drink
49:48
a
49:49
lot
49:49
of
49:49
those.
49:49
We
49:49
don't
49:50
do
49:50
other
49:51
types
49:52
of
49:52
sodas.
49:53
We
49:53
don't
49:53
do
49:53
other
49:54
probiotic
49:54
brands.
49:55
We
49:55
are
49:55
an
49:55
Olipop
49:56
vintage
49:56
cola.
49:56
So
49:57
shout
49:57
out
49:57
to
49:57
that
49:57
one.
49:58
The
49:58
other
49:58
ones
49:59
are
49:59
good,
49:59
but
49:59
I
49:59
love,
50:00
we
50:00
love
50:00
that
50:00
one.
50:00
So
50:01
that's,
50:01
that's
50:01
one
50:01
thing.
50:02
Prices
50:03
are
50:03
relevant.
50:04
Next
50:04
thing
50:05
you
50:05
know,
50:05
and
50:05
Dave's
50:05
gonna
50:06
tell
50:06
us
50:06
he
50:06
has
50:06
the
50:06
Olipop
50:07
app
50:07
on
50:07
his
50:07
phone.
50:08
All
50:08
right,
50:08
back
50:08
to
50:09
you.
50:11
You
50:11
know,
50:12
I'm
50:12
for
50:12
sale,
50:12
guys.
50:14
All
50:14
right,
50:14
back
50:15
to
50:15
you,
50:15
Dave.
50:15
Speaking
50:15
of
50:16
tariffs,
50:16
President
50:17
Trump
50:17
yesterday
50:17
said
50:18
he
50:18
plans
50:18
to
50:18
double
50:18
his
50:19
plan
50:19
steel
50:19
tariffs
50:20
on
50:20
Canada,
50:21
which
50:21
begs
50:21
the
50:21
question
50:22
for
50:22
us.
50:22
Are
50:23
you
50:23
more
50:23
a
50:23
man
50:23
of
50:24
steel
50:24
or
50:25
blue
50:25
steel?
50:26
If
50:26
you
50:26
could
50:26
only
50:26
choose
50:27
one.
50:27
Well,
50:28
I,
50:28
I'd
50:28
love
50:28
to
50:29
say
50:29
I
50:29
want
50:29
to
50:29
be
50:29
a
50:30
man
50:30
of
50:30
steel,
50:31
but
50:31
since
50:31
I'm
50:32
not
50:32
an
50:32
Ambi
50:32
Turner,
50:33
clearly
50:35
I'm,
50:35
I'm
50:35
a
50:35
blue
50:36
steel
50:36
guy.
50:37
Ambiturner,
50:37
you
50:38
remember
50:38
Zoolander
50:41
can't
50:42
turn
50:42
left.
50:42
And
50:42
I
50:43
mean,
50:43
you
50:43
know,
50:43
I've
50:43
been
50:44
in
50:44
beauty
50:44
some
50:44
of
50:44
the
50:44
face
50:45
like
50:45
this.
50:45
Clearly
50:46
I
50:46
gotta
50:46
be
50:46
blue
50:46
steel.
50:47
Yeah,
50:48
yeah,
50:48
yeah.
50:49
I
50:49
picked
50:49
that
50:49
question
50:49
just
50:50
for
50:50
you,
50:50
my
50:50
friend.
50:52
All
50:52
right,
50:53
Chris,
50:53
you
50:53
get
50:53
the
50:53
next
50:54
one.
50:54
Best
50:54
Buy
50:54
announced
50:55
last
50:55
week
50:55
in
50:55
an
50:55
earnings
50:56
call.
50:56
That
50:56
they
50:56
will
50:56
be
50:56
opening
50:57
up
50:57
influencer
50:58
and
50:58
creator
50:59
storefront
50:59
capabilities
51:00
on
51:00
their
51:00
website.
51:01
What
51:01
would
51:01
be
51:01
the
51:01
first
51:02
Best
51:02
Buy
51:02
product
51:03
on
51:03
your
51:03
influencer
51:04
storefront?
51:05
Okay.
51:05
And
51:06
I'm
51:06
coming
51:06
back
51:06
at
51:06
you
51:07
with
51:07
another
51:07
food
51:08
focused
51:08
recommendation
51:09
to
51:10
try
51:10
and
51:10
build
51:10
on
51:10
my
51:11
quest
51:11
chips
51:11
here.
51:12
They
51:12
have
51:12
something
51:12
called
51:13
Sauce
51:13
Moto.
51:14
Now,
51:14
it's
51:14
an
51:14
accessory
51:15
for
51:15
your
51:15
car,
51:16
and
51:17
it
51:17
hooks
51:17
into
51:18
your
51:18
air
51:18
conditioning
51:19
vent,
51:20
and
51:20
it's
51:20
a
51:21
little
51:21
holster
51:21
for
51:22
your
51:22
Chick
51:22
Fil
51:22
A
51:23
sauce
51:23
so
51:23
you
51:23
can
51:23
dip
51:24
your
51:24
nuggets
51:24
in
51:24
it.
51:25
Oh,
51:25
my
51:25
God.
51:26
That
51:26
would
51:26
be
51:27
my
51:27
primary,
51:27
my
51:28
first
51:29
front
51:29
runner.
51:30
Oh,
51:30
my
51:31
gosh.
51:31
Your
51:31
car
51:31
must
51:32
smell
51:32
good.
51:35
We
51:35
covered,
51:35
we
51:36
covered,
51:36
like,
51:37
luxury
51:37
car
51:38
fragrances
51:38
on
51:39
one
51:39
lightning
51:39
round.
51:40
And
51:40
now
51:40
we're
51:40
going
51:41
in
51:41
the
51:41
exact
51:41
opposite,
51:41
opposite
51:42
direction
51:42
today.
51:43
Chris,
51:43
thank
51:43
you
51:44
for
51:44
enlightening
51:45
us
51:45
with
51:45
this
51:46
product.
51:46
Got
51:47
you.
51:47
Yeah.
51:47
We've
51:47
learned
51:47
that
51:48
Chris
51:48
eats
51:48
regularly
51:48
at
51:49
Portillo
51:49
and
51:50
Chick
51:50
Fil
51:50
A.
51:50
All
51:50
right.
51:52
But
51:52
I'm
51:53
ashamed.
51:53
But
51:53
I'm
51:53
too
51:53
ashamed
51:54
to
51:54
have
51:54
the
51:54
apps
51:55
on
51:55
my
51:55
phone.
51:57
We
51:57
won't
51:57
get
51:57
a
51:58
discount
51:58
on
51:58
the
51:58
product.
51:59
No,
51:59
no,
51:59
no.
52:00
Wants
52:00
to
52:00
tell
52:00
thousands
52:01
people
52:01
that
52:01
he
52:01
doesn't
52:02
know
52:02
that's
52:02
what
52:02
he
52:03
wants
52:03
to
52:03
do.
52:04
All
52:04
right,
52:04
Chris,
52:05
back
52:05
to
52:05
you.
52:06
Southwest
52:06
said
52:07
yesterday
52:07
that
52:07
it
52:07
will
52:07
begin
52:08
charging
52:08
customers
52:09
a
52:09
check
52:09
bag
52:10
fee.
52:10
Hold
52:10
the
52:11
phone
52:11
on
52:11
that
52:11
one.
52:12
Given
52:12
this
52:13
news
52:13
rank
52:13
order,
52:14
you're
52:14
now
52:15
current
52:15
three
52:16
favorite
52:16
US
52:17
Airline
52:17
carriers.
52:18
As
52:18
a
52:18
consultant,
52:19
I
52:19
think
52:19
you
52:19
probably
52:19
have
52:20
some
52:20
great
52:20
perspective
52:21
on
52:21
this
52:21
question.
52:23
Yeah,
52:24
this
52:24
is
52:24
like
52:24
asking
52:24
me
52:25
what
52:25
finger
52:25
I
52:25
want
52:25
to
52:26
cut
52:26
off.
52:26
Like,
52:26
no
52:27
part
52:27
of
52:27
this
52:27
is
52:27
like
52:27
an
52:28
easy.
52:29
It's
52:29
like
52:29
they're
52:29
all
52:30
terrible.
52:31
It's
52:32
the,
52:32
the
52:32
easiest
52:32
is
52:33
to
52:33
go
52:33
from
52:33
the
52:33
back
52:34
forward,
52:34
though.
52:34
Like,
52:35
American
52:35
dead
52:36
last.
52:37
Just
52:38
terrible.
52:39
I
52:40
love,
52:40
I
52:40
actually
52:40
enjoy
52:41
flying
52:41
Delta.
52:42
Delta
52:42
and
52:42
Alaska
52:43
have
52:43
to
52:43
be
52:43
my
52:43
top
52:43
two.
52:44
Alaska
52:44
is
52:44
probably
52:45
number
52:45
one,
52:45
Delta's
52:46
number
52:46
two.
52:46
And
52:46
American
52:47
just
52:47
has
52:47
to
52:47
be
52:48
abysmally
52:48
last.
52:49
Clearly,
52:50
you're
52:50
not
52:50
going
52:50
to
52:50
be
52:51
working
52:51
with
52:51
American
52:51
anytime
52:52
soon.
52:54
Or
52:54
maybe
52:54
you
52:55
will.
52:55
Maybe
52:55
they're
52:56
in
52:56
the
52:56
last
52:56
place
52:57
and
52:57
they
52:57
need
52:57
the
52:57
most
52:57
support.
52:58
The
52:58
answer
52:59
is
52:59
clear.
52:59
It's
52:59
Delta,
53:00
Delta,
53:01
and
53:01
then
53:01
Delta.
53:02
I'm
53:02
in
53:02
a
53:02
deeply
53:03
captive
53:03
market
53:04
here
53:04
in
53:04
Charlotte,
53:04
and
53:05
an
53:05
American
53:05
knows
53:05
it
53:05
and
53:06
just,
53:07
it's
53:07
not
53:07
a
53:08
good
53:08
experience.
53:10
We,
53:10
and
53:10
I
53:11
ride
53:11
or
53:11
die
53:11
with
53:11
Delta,
53:12
too.
53:12
Alaska
53:12
is
53:12
a
53:13
good.
53:13
Is
53:13
a
53:13
good.
53:13
It's
53:13
a
53:14
good
53:14
grab,
53:14
though.
53:14
I,
53:15
I,
53:15
I,
53:15
I,
53:15
I
53:16
can't
53:16
remember
53:16
the
53:16
last
53:16
time
53:16
I
53:16
flew
53:17
Alaska.
53:17
It
53:17
just
53:17
doesn't
53:17
hit
53:18
the
53:18
routes
53:18
that
53:18
Ed
53:18
and
53:19
I
53:19
frequent
53:19
all
53:19
that
53:19
often.
53:20
But,
53:20
yeah,
53:20
you
53:20
gotta
53:20
be
53:20
out
53:21
on
53:21
the
53:21
west
53:21
coast
53:21
for
53:21
that
53:21
one.
53:22
The
53:22
Minnesota
53:23
Delta
53:23
Terminal's
53:24
nice.
53:25
Yeah.
53:27
Oh,
53:27
they
53:27
put
53:27
a
53:28
golf
53:28
simulator
53:28
in
53:29
there.
53:29
That's.
53:29
That's
53:29
really
53:30
cool.
53:31
I
53:31
had
53:32
not
53:32
heard
53:32
that.
53:32
Ann.
53:33
I'm
53:33
sure
53:33
that.
53:33
I'm
53:33
sure
53:34
you
53:34
probably
53:34
were
53:34
aware
53:35
of
53:35
that.
53:35
No,
53:35
Anne
53:35
wasn't
53:36
aware
53:36
of
53:36
that
53:36
either.
53:36
Wow.
53:37
No
53:38
golf
53:38
simulations.
53:39
All
53:39
right,
53:39
well,
53:40
have
53:40
to
53:40
check
53:40
out
53:40
the
53:40
Minnesota
53:41
airport
53:41
again,
53:41
which
53:42
I
53:42
will
53:42
do
53:42
in
53:42
a
53:43
couple
53:43
weeks
53:43
on
53:43
our
53:43
way
53:43
to
53:43
Shop
53:44
Talk.
53:44
All
53:44
right,
53:45
that
53:45
concludes
53:45
today's
53:46
show.
53:46
Happy
53:46
birthday
53:46
today
53:47
to
53:47
Titus
53:47
Welliver,
53:48
Liza
53:49
Minnelli,
53:50
and
53:50
to
53:50
the
53:50
man
53:50
who
53:51
will
53:51
always
53:51
be
53:51
known
53:51
as
53:52
Jonesy.
53:52
To
53:52
me
53:53
from
53:53
the
53:53
Hunt
53:53
from
53:54
for
53:54
Red
53:54
October,
53:55
the
53:55
vastly
53:56
underappreciated
53:57
Courtney
53:58
B.
53:58
Vance.
53:59
And
53:59
remember,
54:00
if
54:00
you
54:00
can
54:00
only
54:00
read
54:00
or
54:01
listen
54:01
to
54:01
one
54:02
retail
54:02
blog
54:02
in
54:02
the
54:02
business,
54:03
Make
54:03
It
54:03
Omn,
54:04
the
54:04
only
54:05
retail
54:05
media
54:05
outlet
54:06
run
54:06
by
54:06
two
54:06
former
54:06
executives
54:07
from
54:07
a
54:07
current
54:07
top
54:08
10
54:08
US
54:08
retailer.
54:09
Our
54:09
Fast
54:10
Five
54:10
podcast
54:10
is
54:10
the
54:11
quickest,
54:11
fastest
54:11
rundown
54:12
of
54:12
all
54:12
the
54:12
week's
54:12
top
54:12
news.
54:13
And
54:13
our
54:13
daily
54:13
newsletter,
54:14
the
54:14
Retail
54:14
Daily
54:15
Minute,
54:15
tells
54:15
you
54:15
all
54:15
you
54:16
need
54:16
to
54:16
know
54:16
each
54:16
day
54:17
to
54:17
stay
54:17
on
54:17
top
54:18
of
54:18
your
54:18
game
54:18
as
54:18
a
54:18
retail
54:19
executive
54:19
and
54:19
also
54:20
regularly
54:20
features
54:21
special
54:21
content
54:21
that
54:22
is
54:22
exclusive
54:22
to
54:22
Ann
54:23
and
54:23
myself
54:24
and
54:24
that
54:24
Ann
54:25
and
54:25
I
54:25
take
54:25
a
54:25
heck
54:25
of
54:26
a
54:26
lot
54:26
of
54:26
pride
54:26
in
54:26
doing
54:27
just
54:27
for
54:27
you.
54:27
Thanks
54:28
as
54:28
as
54:28
always,
54:28
for
54:28
listening
54:28
in,
54:29
please
54:29
remember
54:29
to
54:29
like
54:29
and
54:30
leave
54:30
us
54:30
a
54:30
review
54:30
wherever
54:30
you
54:30
happen
54:31
to
54:31
listen
54:31
to
54:31
your
54:31
podcast
54:32
or
54:32
on
54:32
YouTube.
54:33
You
54:33
can
54:33
follow
54:33
us
54:33
today
54:34
by
54:34
simply
54:34
going
54:34
to
54:34
YouTube.com
54:36
omnitalkretail
54:38
Dave,
54:38
if
54:38
people
54:39
want
54:39
to
54:39
get
54:39
in
54:39
touch
54:39
with
54:40
you,
54:40
you
54:40
know,
54:41
argue
54:41
with
54:41
you
54:41
about
54:42
app
54:42
fatigue,
54:43
pick
54:43
the
54:44
brains
54:44
of
54:44
your
54:44
fellow
54:45
A
54:45
and
54:45
M
54:45
consumer
54:46
and
54:46
retail
54:46
group
54:46
consultants.
54:47
What's
54:47
the
54:47
best
54:47
way
54:48
for
54:48
them
54:48
to
54:48
do
54:48
that?
54:49
I
54:49
will
54:49
give
54:50
you
54:50
Chris's
54:51
personal
54:52
cell
54:52
phone
54:52
number.
54:54
No,
54:54
I'm
54:54
just
54:54
kidding.
54:55
So
54:55
the
54:55
two
54:55
best
54:56
ways
54:56
would
54:56
be
54:57
our
54:57
website,
54:58
Alvarez
54:58
and
54:59
alvarezmourasol-crg.com
55:02
we
55:03
are
55:03
actively
55:04
looking
55:04
at
55:05
emails
55:05
and.
55:06
And
55:06
our
55:06
inbox
55:07
there
55:07
and
55:08
then
55:08
our
55:08
LinkedIn
55:08
page.
55:09
It's
55:09
Alvarez
55:10
and
55:10
Marsal,
55:10
Consumer
55:11
and
55:11
retail
55:11
Group.
55:13
Those
55:13
two
55:13
would
55:14
be
55:14
the
55:14
best
55:14
places.
55:15
And
55:15
if
55:15
you
55:15
want
55:16
to
55:16
reach
55:16
out
55:16
to
55:16
Chris
55:16
or
55:16
I
55:17
just.
55:17
Just
55:17
say
55:18
attention,
55:18
Chris
55:18
and
55:18
David.
55:19
We'll
55:19
get
55:20
back
55:20
to
55:20
you
55:20
immediately.
55:22
All
55:23
right,
55:23
wonderful.
55:23
Well,
55:24
thank
55:24
you
55:24
both
55:24
of
55:25
you
55:25
for
55:25
joining
55:25
us
55:26
today.
55:26
And
55:27
on
55:27
behalf
55:27
of
55:27
all
55:27
of
55:27
us
55:28
on
55:28
Omnitok
55:28
Retail,
55:29
Anne
55:29
and
55:29
I
55:29
will
55:29
be
55:30
back
55:30
next
55:30
week.
55:30
And
55:30
until
55:31
then,
55:32
be
55:32
careful
55:32
out
55:33
there.