Latest / Omni Talk Retail / Amazon Autos, Best Buy’s Marketplace & The Potential Target Fiddelke Faux Pas | Fast Five

Transcript

Amazon Autos, Best Buy’s Marketplace & The Potential Target Fiddelke Faux Pas | Fast Five · Omni Talk Retail

0:00
This
0:01
episode
0:01
of
0:01
the
0:01
OMNITALK
0:02
Retail
0:02
Fast
0:02
5
0:03
is
0:03
brought
0:03
to
0:03
you
0:03
by
0:03
the
0:04
A
0:04
and
0:04
M
0:04
Consumer
0:05
and
0:05
Retail
0:05
Group.
0:06
The
0:06
A
0:06
and
0:06
M
0:06
Consumer
0:07
and
0:07
Retail
0:07
Group
0:07
is
0:08
a
0:08
management
0:08
consulting
0:09
firm
0:09
that
0:09
tackles
0:10
the
0:10
most
0:10
complex
0:10
challenges
0:11
and
0:11
advances
0:12
its
0:12
clients,
0:13
people
0:13
and
0:14
communities
0:14
towards
0:15
their
0:15
maximum
0:15
potential.
0:16
CRG
0:17
brings
0:17
the
0:17
experience,
0:18
tools
0:18
and
0:18
operator
0:19
like
0:19
pragmatism
0:20
to
0:20
help
0:20
retailers
0:21
and
0:21
consumer
0:22
products
0:22
companies
0:23
be
0:23
on
0:23
the
0:23
right
0:23
side
0:24
of
0:24
disruption
0:25
and
0:25
Miracle,
0:26
the
0:26
catalyst
0:27
of
0:27
Commerce.
0:28
Over
0:28
450
0:29
retailers
0:30
are
0:30
opening
0:30
new
0:31
revenue
0:31
streams
0:32
with
0:32
marketplaces,
0:32
dropship
0:33
and
0:33
retail
0:34
media
0:34
and
0:35
succeeding.
0:35
With
0:36
Miracle,
0:36
you
0:36
can
0:37
unlock
0:37
more
0:37
products,
0:38
more
0:38
partners
0:39
and
0:39
more
0:39
profits
0:40
without
0:40
the
0:40
heavy
0:41
lifting.
0:41
What's
0:42
holding
0:42
you
0:42
back?
0:43
Visit
0:43
Miracle.com
0:44
to
0:44
learn
0:45
more.
0:45
That's
0:45
M
0:45
I
0:46
R
0:46
A
0:46
K
0:46
L.com
0:48
and
0:48
Corso.
0:49
Your
0:49
stores
0:50
are
0:50
full
0:50
of
0:51
data,
0:51
but
0:51
are
0:52
your
0:52
teams
0:52
acting
0:53
on
0:53
it?
0:54
Corso
0:54
turns
0:55
retail
0:55
data
0:55
into
0:56
personalized
0:56
daily
0:57
to
0:57
dos
0:57
that
0:57
drive
0:58
sales,
0:58
reduce
0:59
waste
0:59
and
0:59
improve
1:00
execution.
1:01
No
1:01
fluff,
1:02
just
1:03
action.
1:03
Help
1:04
your
1:04
managers
1:04
focus
1:05
on
1:05
what
1:05
matters
1:06
most.
1:06
Visit
1:06
corso.com
1:08
to
1:08
see
1:08
Intelligent
1:09
management
1:09
in
1:10
motion
1:10
and
1:10
Infios.
1:12
At
1:12
Infios,
1:13
they
1:13
unite
1:13
warehousing,
1:13
transportation
1:14
and
1:14
order
1:15
management
1:15
into
1:15
a
1:15
seamless,
1:16
adaptable
1:16
network.
1:17
Infios
1:18
helps
1:18
you
1:18
stay
1:18
ahead
1:19
from
1:19
promise
1:19
to
1:20
delivery
1:20
and
1:21
every
1:21
step
1:21
in
1:22
between.
1:22
To
1:22
learn
1:22
more,
1:23
visit
1:23
infios.com
1:25
and
1:25
finally,
1:26
Ocampo
1:26
Capital.
1:27
Ocampo
1:28
Capital
1:28
is
1:28
a
1:28
venture
1:29
capital
1:29
firm
1:29
founded
1:30
by
1:30
retail
1:30
executives
1:31
with
1:31
the
1:32
aim
1:32
of
1:32
helping
1:32
early
1:33
stage
1:33
consumer
1:34
businesses
1:34
succeed
1:35
through
1:35
investment
1:36
and
1:36
operational
1:36
support.
1:37
Learn
1:38
more@ocampo
1:39
capital.com
1:41
hello,
1:42
you
1:42
are
1:42
listening
1:43
to
1:43
Omnitox.
1:44
Retail
1:44
Fast
1:45
Five
1:45
ranked
1:45
in
1:45
the
1:46
top
1:46
10%
1:46
of
1:46
all
1:47
podcasts
1:47
globally
1:47
and
1:48
currently
1:48
the
1:48
only
1:48
retail
1:49
podcast
1:49
ranked
1:49
in
1:50
the
1:50
top
1:50
100
1:50
of
1:51
all
1:51
business
1:51
podcasts
1:52
on
1:52
Apple
1:52
Podcasts.
1:53
The
1:53
Retail
1:53
Fast
1:53
five
1:54
is
1:54
the
1:54
podcast
1:54
that
1:55
we
1:55
hope
1:55
makes
1:55
you
1:55
feel
1:55
a
1:56
little
1:56
smarter,
1:57
but
1:57
most
1:57
importantly
1:58
a
1:58
little
1:58
happier
1:59
each
1:59
week
1:59
too.
2:00
And
2:00
the
2:00
Fast
2:00
5
2:00
is
2:01
just
2:01
one
2:01
of
2:01
the
2:01
many
2:01
great
2:01
podcasts
2:02
you
2:02
can
2:02
find
2:02
from
2:03
the
2:03
amitalk
2:03
Retail
2:04
Podcast
2:04
Network
2:04
alongside
2:05
our
2:06
Retail
2:06
Daily
2:06
minute
2:07
which
2:07
brings
2:07
you
2:07
a
2:07
curated
2:08
selection
2:08
of
2:08
the
2:08
most
2:09
important
2:09
retail
2:09
headlines
2:10
every
2:10
morning
2:11
and
2:11
our
2:11
Retail
2:12
Technology
2:12
Spotlight
2:13
series
2:13
which
2:13
goes
2:14
deep
2:14
each
2:14
week
2:14
on
2:14
the
2:15
latest
2:15
retail
2:15
technology
2:16
Trends.
2:17
Today
2:17
is
2:18
August
2:18
27,
2:19
2025.
2:20
I'm
2:20
one
2:21
of
2:21
your
2:21
hosts
2:21
and
2:21
Mazinga.
2:22
And
2:23
I'm
2:23
Chris
2:23
Walton
2:24
and
2:24
we
2:24
are.
2:24
Here
2:25
once
2:25
again
2:25
to
2:25
discuss
2:26
all
2:26
the
2:26
top
2:26
headlines
2:27
from
2:27
the
2:27
past
2:27
week
2:28
making
2:28
waves
2:28
in
2:29
the
2:29
world
2:29
of
2:29
omnichannel
2:30
retailing.
2:31
Chris
2:31
and
2:31
I
2:32
we
2:32
just
2:32
took
2:32
in
2:33
took
2:33
the
2:33
red
2:33
eye.
2:35
Yeah,
2:35
it
2:35
feels
2:35
like
2:35
in
2:36
we
2:37
just
2:37
took
2:37
the
2:37
red
2:37
eye
2:38
from
2:38
the
2:38
Walmart
2:38
Sellers
2:39
Conference
2:39
in
2:39
San
2:39
Diego.
2:40
So
2:40
we
2:40
need
2:40
to
2:40
call
2:40
in
2:41
some
2:41
reinforcements
2:42
for
2:42
this
2:42
show,
2:42
right,
2:42
Chris?
2:43
Yes,
2:44
we
2:44
do.
2:44
Yes,
2:44
we
2:44
do.
2:45
My
2:45
brother
2:45
from
2:45
another
2:45
mother.
2:46
Let's
2:46
do
2:46
it.
2:47
Yes.
2:47
So
2:47
joining
2:48
us
2:48
as
2:48
guest
2:49
host
2:49
is
2:50
the
2:50
man,
2:50
the
2:50
myth,
2:51
the
2:51
legend,
2:52
Shop
2:53
Talk
2:53
and
2:53
Grocery
2:53
Shops,
2:54
VP
2:54
of
2:54
original
2:55
content
2:55
and
2:55
Strategy,
2:56
Ben
2:57
Miller.
2:57
Ben,
2:57
welcome
2:58
to
2:58
the
2:58
show.
2:59
It's
2:59
a
2:59
good
3:00
morning
3:00
for
3:00
us,
3:00
a
3:01
good
3:01
afternoon
3:01
for
3:01
you.
3:02
How
3:02
you
3:02
doing?
3:03
Oh,
3:03
really
3:04
good.
3:04
Thank
3:04
you
3:04
again
3:05
for
3:05
having
3:05
me
3:05
back
3:05
on.
3:06
This
3:06
is
3:06
so
3:06
much
3:07
fun.
3:08
Yes,
3:08
we
3:08
are
3:09
so
3:09
excited
3:09
to
3:09
have
3:09
you.
3:10
And
3:10
for
3:10
those
3:10
who
3:11
might
3:11
be
3:11
new
3:11
to
3:11
Omni
3:12
Talk
3:12
or
3:12
who
3:12
are
3:13
meeting
3:13
you
3:13
for
3:13
the
3:13
first
3:13
time,
3:14
Ben,
3:14
maybe
3:14
give
3:15
us
3:15
a
3:15
quick
3:16
background
3:16
on
3:17
you
3:17
and
3:18
about
3:18
the
3:19
Grocery
3:19
Shop
3:19
and
3:19
Shop
3:20
Talk
3:20
fall
3:20
events
3:21
that
3:21
we
3:21
have
3:21
coming
3:21
up
3:21
before
3:21
we
3:22
dig
3:22
into
3:22
the
3:22
headlines.
3:24
Thank
3:24
you,
3:24
Anne.
3:24
So
3:25
I
3:25
have
3:25
the
3:26
privilege
3:26
of
3:26
serving
3:26
as
3:27
VP
3:27
of
3:27
content
3:28
for
3:29
original
3:29
content
3:30
for
3:30
Shop
3:30
Talk
3:30
and
3:30
Grocery
3:31
Shop.
3:31
And
3:32
so
3:32
I
3:32
work
3:32
across
3:33
our
3:33
global
3:34
portfolio
3:34
of
3:35
now
3:35
five
3:36
shows
3:37
and
3:38
I
3:38
get
3:38
to
3:39
coordinate
3:39
the
3:39
research,
3:40
coordinate
3:41
insights,
3:41
and
3:42
I
3:42
get
3:42
to
3:42
write
3:42
new
3:43
content
3:44
to
3:44
get
3:44
to
3:44
share
3:44
at
3:45
our
3:45
platforms.
3:47
So
3:47
my
3:47
background
3:48
is
3:49
firstly
3:50
as
3:50
an
3:50
operator.
3:50
So
3:51
I
3:51
worked
3:51
for
3:51
the
3:51
Safeway
3:52
company,
3:53
worked
3:53
in
3:53
store,
3:54
worked
3:54
in
3:54
head
3:54
office,
3:54
worked
3:55
in
3:55
investor
3:55
relations.
3:56
So
3:56
been
3:56
hands
3:57
on
3:57
and
3:57
then
3:58
went
3:58
consultancy
3:59
side
3:59
helping
4:00
predominantly
4:00
CPG
4:01
sell
4:01
more
4:02
to
4:02
grocery
4:02
retailers
4:04
around
4:04
the
4:04
world
4:05
and
4:05
then
4:05
found
4:06
myself
4:06
working
4:06
for
4:07
the
4:07
Shop
4:07
Talk
4:07
team.
4:08
So
4:09
where
4:09
it's
4:09
look,
4:09
we
4:10
are
4:10
three
4:11
weeks
4:11
today,
4:11
we're
4:12
opening
4:12
our
4:12
Shoptalk
4:13
4
4:13
show
4:14
in
4:14
Chicago.
4:16
Five
4:16
weeks
4:17
today,
4:17
we'll
4:17
be
4:18
wrapping
4:18
Grocery
4:19
Shop
4:19
in
4:20
Las
4:20
Vegas.
4:20
So
4:21
it's
4:21
busy,
4:22
busy
4:22
times
4:23
in
4:23
Shop
4:23
Top
4:24
Towers.
4:24
But
4:24
we're
4:24
looking
4:24
forward
4:25
to
4:25
seeing
4:25
everybody
4:26
getting
4:26
everyone
4:27
together
4:27
again
4:27
at
4:28
these
4:28
two
4:28
great
4:28
events
4:28
in
4:29
the
4:29
next
4:29
couple
4:29
of
4:29
weeks.
4:30
Ben,
4:31
we're
4:31
so
4:31
excited
4:32
about
4:32
it.
4:32
And
4:32
also
4:32
Chris,
4:33
Ben
4:33
forgot
4:33
to
4:34
mention
4:34
in
4:34
his
4:35
bio
4:35
that
4:36
he's
4:36
also
4:37
a
4:38
budding
4:39
fashion
4:39
designer.
4:40
We
4:40
are
4:40
wearing
4:40
our
4:40
Shop
4:41
Talk
4:41
jacket
4:42
today
4:42
that
4:43
Ben
4:43
personally
4:44
designed.
4:44
Ben,
4:45
this
4:45
is
4:45
a
4:45
very
4:45
on
4:46
trend.
4:46
Did
4:46
you
4:46
know
4:46
that
4:47
the
4:47
Varsity
4:47
jacket
4:48
is
4:48
like
4:48
the
4:49
it
4:49
jacket
4:49
for
4:50
fall?
4:50
You
4:50
did
4:50
know
4:51
that,
4:51
right?
4:51
I
4:51
did.
4:52
I,
4:52
I
4:52
would
4:52
say
4:53
more
4:54
distributor
4:55
than
4:55
designer
4:56
distributor.
4:57
I,
4:58
I
4:58
know
4:58
my
4:58
place
4:59
in,
4:59
in
4:59
the
4:59
wholesale
5:00
channel.
5:00
That's
5:01
fine.
5:02
Boot
5:03
salesman.
5:04
Yeah,
5:04
right.
5:06
That's
5:06
funny.
5:07
Oh,
5:07
man.
5:07
All
5:07
right,
5:07
so
5:08
you
5:08
got,
5:08
and
5:08
there's,
5:09
and
5:09
there's
5:09
promo
5:09
codes
5:10
too
5:10
for
5:10
our
5:10
listeners,
5:10
right,
5:10
Ben?
5:11
Yeah,
5:12
that's
5:12
absolutely
5:12
right.
5:13
So
5:13
Shop
5:14
Talk
5:14
Fall
5:14
and
5:15
Grocery
5:15
Shops,
5:15
two
5:16
different
5:16
websites.
5:17
But
5:17
we've
5:18
got
5:18
promo
5:19
codes
5:19
for
5:20
all
5:20
the
5:20
Omni
5:20
Talk
5:20
community
5:22
available
5:22
to
5:22
both.
5:23
They're
5:23
kind
5:24
of,
5:24
you
5:24
need
5:24
to
5:24
use
5:24
distinct
5:25
links.
5:25
So
5:25
we'll
5:26
put
5:26
the
5:26
links
5:26
in
5:26
the
5:26
show
5:26
notes
5:27
and
5:27
everyone
5:27
can
5:28
jump
5:28
on.
5:29
So
5:29
yeah,
5:29
please,
5:29
there's
5:30
20%
5:30
discount
5:31
codes
5:31
for
5:31
everybody.
5:32
Yeah,
5:32
20%.
5:33
We'll
5:33
put
5:33
those
5:33
codes
5:34
in
5:34
the
5:34
show
5:34
notes
5:34
like
5:34
Ben
5:35
said.
5:35
So
5:36
Ben,
5:36
I
5:36
can't
5:36
believe
5:36
there's
5:37
five
5:37
shows
5:37
now
5:37
too.
5:38
You
5:38
guys
5:38
have
5:38
five
5:38
shows?
5:39
That's
5:39
wild.
5:39
I
5:39
was
5:39
doing
5:40
the
5:40
math
5:40
in
5:40
my
5:40
head.
5:40
I
5:40
was
5:40
like,
5:41
yeah,
5:41
five
5:41
shows.
5:41
You
5:41
know
5:42
what
5:42
else
5:42
there's
5:42
five
5:42
of?
5:42
Ben,
5:43
there's
5:43
five
5:44
headlines
5:44
because
5:44
you're
5:45
on
5:45
the
5:45
fast
5:45
five.
5:46
In
5:46
this
5:46
week's
5:46
Fast
5:47
Five,
5:47
we've
5:47
got
5:47
news
5:48
on
5:48
Hertz
5:48
Auto
5:49
sales,
5:49
new
5:50
Amazon
5:50
Autos
5:51
partnership,
5:52
Best
5:52
Buy's
5:53
Marketplace
5:54
launch,
5:54
Walmart
5:55
Canada
5:55
rolling
5:56
out
5:56
BNPL
5:56
in
5:56
stores
5:57
with
5:57
Klarna
5:58
Fabletics
5:59
going
5:59
all
5:59
in
5:59
on
5:59
rfid.
6:00
And
6:00
Daniela
6:01
Stropa
6:01
of
6:02
AWS
6:02
stops
6:03
by
6:03
to
6:03
share
6:03
August's
6:04
retail
6:04
tech
6:05
startup
6:05
of
6:05
the
6:05
Month.
6:05
But
6:06
we
6:06
begin
6:06
today
6:07
in
6:07
a
6:07
place
6:07
many
6:08
of
6:08
our
6:08
fans
6:09
probably
6:09
expect.
6:10
And
6:12
that's
6:12
right,
6:13
headline
6:14
number
6:14
one.
6:14
We
6:14
teased
6:15
it
6:15
last
6:15
week.
6:15
Chris
6:16
had
6:16
a
6:16
big
6:17
article
6:17
that
6:17
he
6:17
put
6:18
out
6:18
over
6:18
the
6:18
weekend.
6:19
Target
6:19
has
6:20
named
6:20
Michael
6:20
Fidelke,
6:21
its
6:21
current
6:22
Chief
6:23
Operating
6:23
officer,
6:24
as
6:24
its
6:24
next
6:25
CEO.
6:26
According
6:26
to
6:26
CNBC,
6:27
Fidelke
6:27
is
6:28
the
6:28
company's
6:28
49
6:29
year
6:29
old
6:29
chief
6:30
operating
6:30
officer
6:30
and
6:31
former
6:31
Chief
6:31
Financial
6:32
officer
6:32
and
6:33
will
6:33
succeed
6:33
Brian
6:34
Cornell
6:34
effective
6:35
February
6:35
1st
6:36
of
6:36
2026.
6:37
Cornell,
6:38
who
6:38
took
6:38
the
6:38
helm
6:39
of
6:39
the
6:39
cheap
6:39
chic
6:40
retailer
6:40
in
6:41
2014,
6:41
will
6:42
transition
6:42
to
6:42
the
6:43
role
6:43
of
6:43
executive
6:43
chair
6:44
on
6:44
Target's
6:45
board
6:45
of
6:45
directors.
6:46
Fidelke
6:47
laid
6:47
out
6:47
three
6:48
priorities.
6:49
One,
6:49
re
6:49
establishing
6:50
Target's
6:51
reputation
6:51
as
6:51
a
6:51
retailer
6:52
with
6:52
stylish
6:52
and
6:53
unique
6:53
items.
6:54
Two,
6:54
providing
6:55
a
6:55
more
6:55
consistent
6:56
customer
6:56
experience
6:57
and
6:58
three,
6:58
using
6:58
technology
6:59
more
6:59
effectively
7:00
to
7:00
operate
7:01
an
7:01
efficient
7:02
business.
7:02
Chris,
7:03
we're
7:03
going
7:03
to
7:03
go
7:04
to
7:04
you
7:04
first
7:04
because
7:05
this
7:05
is
7:05
the
7:06
put
7:06
you
7:06
on
7:06
the
7:06
spot
7:07
question
7:07
from
7:07
the
7:08
A
7:08
and
7:08
M
7:08
consumer
7:09
and
7:09
retail
7:09
group.
7:10
They
7:10
want
7:10
to
7:11
get
7:11
this
7:11
show
7:11
started
7:11
off
7:12
right
7:12
and
7:12
address
7:13
the
7:13
elephant
7:14
in
7:14
the
7:14
room.
7:14
CEO
7:15
succession
7:16
plans
7:16
can
7:17
be
7:17
difficult
7:18
regardless
7:18
of
7:18
credentials
7:19
as
7:19
a
7:20
Target
7:20
lifer.
7:21
Can
7:21
Michael
7:22
Fidelke
7:23
emerge
7:23
from
7:23
Brian
7:24
Cornell's
7:24
legacy
7:25
and
7:25
change
7:26
the
7:26
trajectory
7:27
of
7:27
Target
7:27
is
7:28
especially
7:28
with
7:29
Brian
7:29
Cornell
7:30
still
7:30
on
7:30
the
7:30
board?
7:31
Or
7:32
should
7:32
the
7:32
next
7:32
CEO
7:33
have
7:33
been
7:33
from
7:34
outside
7:34
the
7:34
company
7:34
to
7:35
kickstart
7:35
a
7:35
fresh
7:36
perspective
7:37
on
7:37
Target
7:37
strategy?
7:39
Oh,
7:39
wow,
7:39
that's
7:40
a
7:40
great
7:40
question,
7:40
candidly.
7:42
And
7:42
I
7:42
said
7:42
in
7:42
my
7:42
article
7:43
over
7:43
the
7:43
weekend,
7:43
you
7:44
know,
7:44
I,
7:44
I
7:44
think
7:45
it's,
7:45
I
7:45
think
7:45
it's
7:45
the
7:45
wrong
7:46
move,
7:47
you
7:47
know,
7:47
and
7:47
I,
7:48
I,
7:48
I'm
7:48
kind
7:48
of
7:48
more
7:48
excited
7:49
to
7:49
hear
7:49
what
7:49
you
7:49
guys
7:49
have
7:49
to
7:50
say
7:50
because
7:50
I
7:50
feel
7:50
like
7:50
I
7:50
penned
7:51
my
7:51
thoughts
7:51
pretty,
7:52
pretty
7:53
diligently
7:54
and
7:54
robustly
7:54
in
7:54
the
7:55
article
7:55
I
7:55
put
7:55
forward
7:55
on
7:55
the
7:56
weekend
7:56
like
7:56
you
7:56
said,
7:56
Ann,
7:56
but,
7:57
you
7:57
know,
7:57
I'm
7:57
going,
7:57
so
7:58
I'll
7:58
make
7:58
this
7:58
quick,
7:59
but
7:59
I
7:59
think
7:59
what
7:59
I'm.
8:00
I'm
8:00
going
8:00
to
8:00
coin
8:00
the
8:01
phrase
8:01
here
8:01
that
8:01
this
8:01
is
8:02
going
8:02
to
8:02
be
8:02
the
8:02
Fidelki
8:03
faux
8:03
pas.
8:03
That's
8:04
the
8:04
new
8:04
term
8:04
I'm
8:04
going
8:05
to
8:05
use,
8:05
because
8:06
I
8:06
think
8:06
in
8:06
the
8:06
long
8:06
run,
8:07
this
8:07
whole
8:07
move
8:07
could
8:07
be
8:07
embarrassing
8:08
for
8:08
every
8:09
single
8:09
party
8:09
involved.
8:10
It
8:10
could
8:10
be
8:10
embarrassing
8:10
for
8:11
Fidelki,
8:11
it
8:11
could
8:11
be
8:11
embarrassing
8:12
for
8:12
the
8:12
board,
8:12
and
8:13
it's
8:13
definitely
8:13
going
8:13
to
8:13
be
8:13
embarrassing
8:14
for
8:14
Canel,
8:15
I
8:15
think,
8:16
because
8:16
not
8:17
only
8:17
is
8:17
it
8:17
the
8:17
wrong
8:17
move,
8:18
but
8:18
it's
8:18
also
8:18
a
8:19
move
8:19
to
8:19
me
8:19
that
8:19
says
8:20
far
8:20
more
8:20
about
8:20
Cornell
8:21
than
8:21
it
8:21
does
8:21
about
8:21
Fidelki.
8:22
So,
8:23
you
8:23
know,
8:23
Cornell
8:24
I've
8:24
been
8:24
talking
8:24
about
8:25
ad
8:25
nauseam
8:25
on
8:26
this
8:26
show
8:26
for
8:26
the
8:26
past
8:26
three
8:27
years.
8:28
His
8:28
track
8:28
record
8:29
is
8:29
subpar,
8:30
you
8:30
know,
8:30
excluding
8:31
the.
8:31
The
8:31
two
8:32
years
8:32
of
8:32
the
8:32
pandemic,
8:33
particularly,
8:33
what
8:34
has
8:34
he
8:34
really
8:34
accomplished?
8:35
When
8:35
you
8:35
look
8:35
at
8:35
the
8:36
numbers,
8:36
why
8:37
is
8:37
Target
8:37
better
8:38
positioned
8:38
to
8:38
succeed
8:39
than
8:40
when
8:40
he
8:40
took
8:40
over
8:41
in
8:41
the
8:41
long
8:41
run?
8:41
Where
8:42
are
8:42
the
8:42
growth
8:42
strategies?
8:43
I
8:43
still
8:43
can't
8:44
name
8:44
them.
8:44
I
8:44
looked
8:45
through
8:45
the
8:45
earnings
8:45
report
8:45
again
8:46
this
8:47
week.
8:47
I
8:47
still
8:47
can't
8:48
find
8:48
them.
8:49
And
8:49
what
8:49
worries
8:50
me
8:50
is
8:50
that
8:50
Cornell
8:51
is
8:51
also
8:51
not
8:51
going
8:52
anywhere.
8:52
He's
8:52
still
8:52
the
8:53
executive
8:53
chairman.
8:54
And
8:54
this
8:54
didn't
8:54
strike
8:55
me
8:55
until,
8:55
you
8:55
know,
8:56
preparing
8:56
for
8:56
this,
8:56
too.
8:57
He
8:57
doesn't
8:58
even
8:58
leave
8:58
until
8:59
February.
9:00
He's
9:00
still
9:00
enrolled
9:01
until
9:01
February
9:01
1st.
9:01
That's
9:02
a
9:02
half
9:02
year
9:03
away,
9:03
which
9:04
is
9:04
just
9:04
the
9:04
holiday.
9:05
Yeah.
9:05
That's
9:06
the
9:06
big
9:06
thing,
9:06
right?
9:07
Yeah.
9:07
Yeah.
9:07
You
9:07
got
9:07
to
9:08
still
9:08
go
9:08
through
9:08
the
9:08
crux
9:09
of
9:09
the
9:09
retail
9:10
season
9:10
here,
9:10
too.
9:11
So
9:11
I
9:11
don't
9:12
know.
9:12
So
9:12
then
9:12
you
9:12
got
9:12
to
9:12
ask
9:13
yourself,
9:13
why
9:13
would
9:13
Cornell
9:14
do
9:14
this?
9:14
And
9:14
I
9:14
think
9:14
the
9:14
only
9:15
answer
9:15
I
9:15
can
9:15
come
9:15
up
9:16
with
9:16
is,
9:16
and
9:16
people
9:17
may
9:17
not
9:17
like
9:17
it,
9:18
or
9:18
they
9:18
may,
9:18
but
9:19
I
9:19
think
9:19
it's
9:19
protected
9:20
to
9:20
protect
9:20
his
9:20
legacy.
9:21
The
9:21
last
9:22
thing
9:22
he
9:22
wants.
9:23
The
9:23
last
9:23
thing
9:24
Cornell
9:24
wants
9:25
is
9:25
someone
9:25
external
9:26
coming
9:26
in
9:27
and
9:27
showing
9:28
him
9:28
up,
9:28
because
9:29
then
9:29
he
9:29
can't
9:30
write
9:30
the
9:30
memoir
9:31
like
9:31
all
9:31
his
9:31
CEO
9:32
friends.
9:33
And
9:33
this
9:33
avoids
9:34
that.
9:34
It
9:34
also
9:34
gives
9:35
him
9:35
someone
9:36
now
9:36
to
9:36
share
9:36
accountability
9:37
with.
9:37
So,
9:38
you
9:38
know,
9:38
is
9:38
Fidelke
9:39
the
9:39
best
9:39
internal
9:40
candidate?
9:41
Probably,
9:42
but
9:42
he
9:42
runs
9:42
operations.
9:43
Operations
9:44
haven't
9:44
been
9:44
going
9:45
well.
9:45
And
9:45
what
9:45
worries
9:46
me
9:46
the
9:46
most,
9:46
and
9:47
this
9:47
is
9:47
something
9:47
I
9:47
didn't
9:47
put
9:48
in
9:48
the
9:48
article
9:48
overtly,
9:49
which
9:49
I
9:49
probably
9:49
should
9:49
have,
9:50
is
9:50
that
9:51
is
9:52
that
9:53
we
9:53
could
9:53
put
9:53
as
9:53
many
9:54
pictures
9:54
of
9:54
stores
9:55
and
9:55
empty
9:55
shelves
9:55
as
9:56
we
9:56
want
9:56
on
9:56
social
9:56
media,
9:57
and
9:57
people
9:57
have
9:58
been
9:58
doing
9:58
that
9:58
till
9:58
the
9:58
cows
9:59
come
9:59
home.
10:00
But
10:00
I
10:00
think
10:01
the
10:01
more
10:01
important
10:02
mark
10:02
on
10:02
this
10:02
regime
10:03
is
10:03
actually
10:03
their
10:04
digital
10:04
performance.
10:05
The
10:05
fact
10:05
that
10:05
Their
10:06
digital
10:06
performance
10:06
in
10:07
the
10:07
last
10:07
quarter
10:07
was
10:07
only
10:08
4%.
10:09
That
10:09
is
10:09
not
10:09
even
10:09
keeping
10:10
pace
10:10
with
10:10
the
10:11
market.
10:11
And
10:12
it's
10:12
the
10:12
same
10:12
cast
10:13
of
10:13
characters,
10:14
particularly
10:14
with
10:14
Fidelki
10:15
at
10:15
the
10:15
helm,
10:15
that
10:16
are.
10:16
That
10:16
have
10:16
been
10:17
responsible
10:17
for
10:17
that
10:17
and
10:18
seemingly
10:18
still
10:19
are
10:19
responsible
10:19
for
10:19
that.
10:20
So
10:20
that's
10:20
why
10:20
I
10:21
question
10:21
this
10:21
move.
10:21
It
10:21
just
10:22
doesn't
10:22
seem
10:22
to
10:22
make
10:22
sense.
10:23
And
10:23
I
10:23
100%
10:24
agree,
10:24
or
10:25
I
10:25
don't
10:25
know
10:25
if
10:25
I
10:25
agree,
10:26
but
10:26
to
10:26
answer
10:26
A
10:26
and
10:26
M's
10:27
question,
10:27
I
10:27
think
10:27
they
10:27
should
10:27
have
10:28
gone
10:28
external.
10:29
Sure.
10:30
Ben,
10:30
what
10:30
are
10:30
you
10:31
hearing?
10:31
And
10:32
you
10:32
know,
10:32
Chris
10:33
and
10:33
I
10:33
are
10:33
obviously
10:33
very
10:33
close
10:34
to
10:34
Target,
10:34
having
10:35
worked
10:35
there,
10:36
both
10:36
of
10:36
us.
10:36
But
10:36
what
10:37
are
10:37
your
10:38
perspectives
10:38
and
10:38
what
10:38
are
10:39
you.
10:39
What
10:39
else
10:39
are
10:39
you
10:39
hearing
10:40
in
10:40
the
10:40
industry?
10:41
Oh,
10:42
thanks,
10:42
Anne.
10:42
And
10:42
it's
10:43
been,
10:43
you
10:44
know,
10:44
it's
10:44
been
10:44
nice
10:44
to
10:45
have
10:45
a
10:45
week
10:45
since
10:46
this
10:46
story
10:46
broke
10:47
to
10:48
on
10:48
it
10:48
and,
10:49
and
10:50
to
10:50
read
10:50
a
10:50
lot
10:51
of
10:51
commentary.
10:52
You
10:52
know,
10:52
there's
10:53
been
10:53
an
10:53
awful
10:53
lot
10:53
published.
10:54
I
10:54
thought
10:55
if
10:55
people
10:55
haven't
10:56
read
10:56
Chris's
10:57
blog,
10:57
it's
10:58
a
10:58
great
10:58
read.
10:58
It's
10:59
very
10:59
well
10:59
written.
11:00
Whether
11:00
you
11:00
agree
11:00
or
11:00
not,
11:00
it's
11:01
very
11:01
well
11:01
written
11:02
and
11:02
very.
11:03
And
11:03
really
11:03
insightful.
11:04
So
11:04
well
11:04
done,
11:05
Chris.
11:05
Thank
11:05
you
11:05
for
11:05
taking
11:05
the
11:06
time
11:06
to,
11:06
to
11:06
put
11:07
your
11:07
thoughts.
11:07
And,
11:08
you
11:09
know,
11:09
I
11:09
think
11:09
the
11:09
first
11:10
reflection
11:10
I've
11:11
had
11:11
is
11:13
the
11:13
sheer
11:14
volume
11:15
reflects
11:16
the
11:16
passion
11:17
that
11:17
exists
11:17
around
11:18
the
11:18
retailer.
11:19
You
11:19
know,
11:20
it's
11:20
really
11:20
clear
11:21
that
11:21
Target
11:22
is
11:22
a
11:22
brand
11:22
that
11:22
means
11:23
a
11:23
lot
11:24
to
11:24
a
11:24
lot
11:24
of
11:24
people.
11:25
Everybody's
11:26
got
11:26
a
11:26
view,
11:26
everybody
11:27
wants
11:27
to
11:27
have
11:27
a
11:27
view.
11:28
And,
11:29
you
11:29
know,
11:29
I
11:29
think
11:30
I'm
11:30
kind
11:30
of
11:30
one
11:30
of
11:30
those,
11:31
you
11:31
know,
11:31
when
11:31
Target's
11:31
good,
11:32
it's
11:32
great,
11:32
it
11:33
was
11:33
exciting.
11:34
It
11:34
brings
11:34
design
11:35
to
11:35
mass.
11:36
It's
11:36
been
11:36
an
11:37
incredible
11:37
platform
11:38
for
11:40
exciting
11:40
brands
11:40
to
11:41
launch
11:41
and
11:41
to
11:41
scale.
11:42
So
11:44
first
11:44
off,
11:44
I
11:44
wish
11:45
the
11:45
team
11:45
all
11:46
the
11:46
best
11:46
in.
11:46
In
11:47
the
11:47
turnaround,
11:47
however
11:48
that
11:49
takes
11:49
place
11:51
on
11:51
Fidelka.
11:52
I've
11:52
only
11:52
met
11:52
him
11:52
once.
11:54
That
11:54
was
11:54
a
11:55
shop
11:55
Talk
11:55
Spring
11:56
in
11:56
23.
11:57
When
11:58
he
11:58
spoke,
11:58
he
11:58
was
11:59
a
12:00
pleasure
12:00
to
12:00
deal
12:00
with.
12:01
He
12:01
was
12:01
great
12:01
on
12:01
stage,
12:02
if
12:03
any,
12:03
if
12:03
you
12:03
or
12:03
any
12:04
of
12:04
the
12:04
listeners
12:04
can
12:04
remember.
12:04
The
12:05
room
12:05
was
12:05
absolutely
12:06
packed.
12:07
It
12:07
was
12:07
clear
12:08
he
12:08
was
12:08
the
12:08
nominated
12:09
successor.
12:10
So,
12:10
look,
12:11
I
12:11
had
12:11
nothing
12:11
but
12:12
positive
12:12
perceptions
12:13
from
12:13
that
12:13
one
12:13
engagement.
12:14
But
12:15
that
12:15
doesn't
12:15
make
12:15
it
12:16
look.
12:17
That's
12:17
absolutely
12:17
no
12:17
foundation
12:18
for
12:18
me
12:18
to
12:18
choose
12:19
whether
12:19
it'll
12:19
be
12:19
a
12:19
good
12:19
CEO
12:19
or
12:20
not.
12:20
And
12:20
so,
12:21
yeah,
12:21
I'm
12:21
not
12:22
gonna.
12:23
I,
12:23
I
12:23
think
12:24
it's
12:24
important
12:24
to
12:24
not
12:24
underestimate
12:25
the
12:25
difference
12:25
between
12:26
being
12:26
an
12:26
executive
12:26
and
12:26
being
12:27
a
12:27
CEO.
12:27
It's
12:27
a
12:27
completely
12:28
different
12:28
job
12:29
and
12:29
sometimes
12:29
you
12:29
just
12:30
don't
12:30
know
12:30
until
12:31
the
12:31
person's
12:31
enrolled,
12:32
you
12:32
just
12:32
don't
12:32
know,
12:33
Right.
12:34
I
12:34
guess
12:34
what
12:34
I
12:35
probably
12:35
would
12:35
share
12:35
is
12:35
a
12:35
personal
12:36
reflection
12:37
and
12:37
that
12:38
I
12:39
talked
12:39
a
12:39
little
12:39
bit
12:39
in
12:40
my
12:40
introduction
12:40
about
12:40
my
12:40
career.
12:41
I've
12:41
spent
12:42
most
12:42
of
12:42
my
12:42
career
12:43
traveling
12:43
backwards
12:44
and
12:44
forwards
12:44
across
12:44
the
12:45
Atlantic,
12:45
being
12:46
in
12:46
and
12:46
out
12:46
of
12:46
stores
12:47
in
12:47
both
12:47
the
12:47
US
12:49
and
12:49
Europe,
12:52
with
12:52
one
12:52
notable
12:53
exception,
12:54
and
12:55
that
12:55
was
12:56
I
12:56
was
12:57
in
12:57
New
12:57
York
12:57
in
12:58
February
12:58
2020.
13:00
I
13:00
was
13:00
meeting
13:00
retailers,
13:01
I
13:01
was
13:01
meeting
13:01
with
13:02
brands
13:02
I
13:02
had
13:02
coffee
13:03
with
13:03
coffee
13:04
with
13:04
Joe
13:04
Laszlo
13:05
and
13:05
then
13:06
bang,
13:06
I
13:07
didn't,
13:07
I
13:07
wasn't
13:08
in
13:08
the
13:08
US
13:08
again
13:08
until
13:09
grocery
13:09
shop
13:09
in
13:10
22.
13:10
That
13:10
was
13:11
just
13:11
shy
13:11
of,
13:11
just
13:12
shy
13:12
of
13:12
three
13:12
years.
13:14
So
13:14
I
13:15
didn't
13:15
live
13:15
through
13:16
the
13:16
pandemic
13:16
in
13:17
the
13:17
U.S.
13:18
i
13:18
got
13:18
this
13:19
view
13:19
of
13:19
the
13:19
world
13:19
before
13:20
and
13:20
then
13:21
suddenly
13:21
the
13:22
world
13:22
after.
13:23
And
13:23
when
13:23
I,
13:24
when
13:25
I
13:25
came
13:25
flew
13:25
out
13:25
to
13:25
Vegas
13:26
for
13:26
grocery
13:26
shop
13:26
in
13:26
20,
13:27
the
13:27
first
13:27
thing
13:27
I
13:27
did
13:27
was
13:28
go
13:28
out
13:28
and
13:28
see
13:28
some
13:28
stores.
13:29
And
13:32
there
13:32
was
13:32
two
13:32
operators
13:33
that
13:33
shocked
13:34
me
13:34
about
13:34
how
13:35
much
13:35
worse
13:35
their
13:35
customer
13:36
experience
13:36
had
13:36
got
13:37
during
13:37
that
13:37
period
13:38
from
13:38
having
13:39
that
13:39
before
13:39
and
13:39
after
13:40
contrast.
13:41
One
13:42
was
13:42
Target
13:43
and
13:43
the
13:43
other
13:43
was
13:44
Starbucks.
13:45
Wow.
13:46
And
13:47
the
13:47
in
13:48
store
13:48
standards
13:48
of
13:48
both
13:49
had
13:49
really
13:49
deteriorated.
13:50
And
13:50
then
13:50
from
13:50
there
13:51
they
13:51
got
13:52
worse.
13:52
And
13:53
I
13:53
thought
13:54
rather
13:54
than
13:54
being
13:54
part
13:54
of
13:55
a
13:55
gradual
13:55
change,
13:55
I
13:56
got
13:56
to
13:56
see
13:56
this
13:58
quite
13:58
upfront.
13:59
And
13:59
I
14:00
guess
14:01
what
14:02
I'm
14:02
pleased
14:02
about
14:02
is
14:03
that
14:03
both
14:03
those
14:03
retailers
14:04
have
14:04
recognized
14:04
that
14:04
they
14:05
weren't
14:05
serving
14:05
their
14:06
customers
14:06
well
14:06
enough.
14:07
The
14:07
situation
14:07
had
14:08
to
14:08
get
14:08
worse
14:08
from
14:09
there,
14:09
but
14:10
they're
14:11
both
14:11
turning
14:11
around.
14:12
So
14:12
I
14:12
guess
14:12
to
14:12
come
14:13
back
14:13
to
14:13
the
14:13
A
14:13
and
14:13
M
14:13
question,
14:13
I
14:14
think
14:14
Starbucks
14:14
is
14:14
a
14:15
cautionary
14:15
tale
14:16
for
14:16
us
14:16
all
14:17
about
14:17
getting
14:17
too
14:17
excited
14:18
too
14:18
early
14:18
about
14:19
an
14:19
external
14:19
hire.
14:22
Turnarounds
14:22
like
14:23
this,
14:23
right,
14:24
Huge
14:24
brands
14:25
take
14:25
time.
14:26
They
14:27
need
14:27
a
14:27
huge
14:27
amount
14:27
of
14:28
patience
14:28
and
14:28
they
14:28
need
14:28
a
14:29
huge
14:29
amount
14:29
of
14:30
goodwill.
14:31
And
14:31
if
14:31
Fidelki
14:32
can
14:32
get
14:32
that
14:33
goodwill
14:33
going
14:34
and
14:34
can
14:34
get
14:35
his
14:35
team
14:35
on
14:36
side,
14:36
then
14:37
he's
14:37
got
14:37
a
14:37
chance.
14:38
But
14:38
he's
14:38
got
14:38
a
14:39
phenomenal
14:40
amount
14:40
to
14:41
right
14:41
connect.
14:42
I
14:42
don't
14:43
underestimate
14:44
the
14:45
challenge
14:45
that
14:45
lies
14:46
ahead.
14:46
So
14:48
I
14:49
think
14:49
obviously
14:50
time
14:50
will
14:50
tell
14:50
if
14:50
he's
14:50
the
14:50
right
14:51
hire
14:51
or
14:51
not.
14:51
I
14:51
don't
14:52
think
14:52
there
14:52
is
14:52
a
14:52
playbook
14:53
of
14:53
whether
14:53
it
14:53
should
14:53
be
14:53
external
14:54
or
14:54
internal.
14:54
It
14:54
comes
14:54
down
14:54
to
14:55
individual
14:56
and
14:56
you've
14:57
got
14:57
to
14:57
find
14:57
out.
14:58
I
14:59
mean,
14:59
the
14:59
final
14:59
thing
14:59
I'll
15:00
say
15:00
is
15:00
it
15:00
will
15:00
come
15:00
as
15:00
probably
15:01
no
15:01
surprise
15:01
to
15:01
you
15:01
both
15:02
that
15:02
we
15:02
have
15:02
got
15:02
cobbles
15:03
in
15:03
with
15:03
both
15:03
the
15:04
Target
15:04
team
15:04
and
15:04
the
15:05
Starbucks
15:05
team
15:06
inviting
15:06
both
15:07
Brian
15:07
and
15:07
Michael
15:08
to
15:08
keynote
15:09
at
15:09
Shop
15:09
Talk
15:09
next
15:09
year.
15:10
So
15:10
yes,
15:11
if
15:11
any
15:12
of
15:12
their
15:12
personal
15:12
teams
15:12
are
15:13
listening
15:13
and
15:13
that
15:13
invite
15:14
hasn't
15:14
hit
15:14
their
15:14
desks
15:15
yet,
15:15
then
15:15
just
15:15
ping
15:15
me
15:16
on
15:16
LinkedIn.
15:16
But
15:17
I
15:17
think
15:17
we
15:17
all
15:17
want
15:17
to
15:18
know
15:19
what
15:19
is
15:19
the
15:20
strategy?
15:21
Because
15:21
there
15:21
has
15:21
to
15:21
be
15:21
more
15:22
than
15:22
those
15:22
three
15:22
big
15:22
bullet
15:23
points
15:23
he
15:23
put
15:23
out
15:23
on
15:24
that
15:24
video
15:24
on
15:24
social
15:24
media.
15:26
Right?
15:26
I.
15:26
I
15:27
agree.
15:27
And
15:27
I
15:28
appreciate
15:28
your
15:28
perspective,
15:29
both
15:29
of
15:29
you.
15:30
And,
15:30
and
15:30
Ben,
15:31
I
15:32
think
15:32
you
15:32
called
15:32
out
15:32
a
15:33
lot
15:33
of
15:33
really
15:33
good
15:33
points
15:33
there.
15:34
There
15:34
is
15:35
a
15:35
big
15:35
turnaround
15:36
at
15:36
hand,
15:37
and
15:37
I'm
15:38
gonna
15:38
just
15:38
offer
15:38
a
15:39
slightly
15:39
different
15:39
perspective
15:40
because
15:40
I
15:40
think
15:41
it's
15:41
easy
15:41
to
15:42
throw
15:43
this
15:43
decision
15:44
under
15:44
the
15:44
bus,
15:44
to
15:44
throw
15:45
Fidelki
15:45
under
15:45
the
15:46
bus,
15:46
to
15:46
dismiss
15:46
him
15:47
as
15:47
the
15:48
media
15:48
has
15:48
been
15:48
because
15:49
he's
15:49
an
15:49
internal
15:50
candidate.
15:51
But
15:51
let
15:51
me
15:52
just
15:52
play
15:52
devil
15:52
devil's
15:53
advocate
15:53
here
15:53
and
15:54
say,
15:54
what
15:54
if
15:55
Fidelke
15:55
is
15:55
the
15:56
only
15:56
person
15:56
who
15:57
can
15:57
care,
15:58
who
15:58
can
15:59
turn
15:59
this
15:59
brand
16:00
around?
16:00
Not
16:01
to
16:01
mention
16:01
he's
16:02
boots
16:02
on
16:02
the
16:02
ground
16:02
in
16:02
Minneapolis.
16:03
The
16:03
same
16:03
couldn't
16:04
have
16:04
been
16:04
said
16:04
for
16:05
Cornell.
16:05
Fidelke
16:06
has
16:06
been
16:07
there
16:07
his
16:07
entire
16:08
career.
16:08
And
16:09
it's
16:09
not
16:09
the
16:09
decision
16:10
that
16:10
people
16:10
wanted
16:10
or
16:11
expected.
16:12
It's
16:12
not
16:12
going
16:13
to
16:13
be
16:13
easy.
16:13
He's
16:14
going
16:14
to
16:14
have
16:14
to
16:15
say
16:15
some
16:15
hard
16:16
things
16:16
and
16:16
make
16:17
some
16:17
hard
16:17
decisions
16:18
when
16:18
with
16:18
peers
16:19
that
16:19
he's
16:19
grown
16:20
up
16:20
with
16:20
within
16:20
the
16:21
organization.
16:21
Which
16:22
is
16:22
a
16:22
big
16:22
question
16:23
mark,
16:23
as
16:23
a
16:23
former
16:24
Targeteer
16:24
and
16:25
mentor
16:25
of
16:25
mine
16:25
said
16:25
to
16:26
me
16:26
this
16:26
week.
16:26
But
16:27
I
16:28
just
16:28
wonder
16:28
if,
16:29
if
16:29
you
16:29
brought
16:30
in
16:30
an
16:30
external
16:30
candidate,
16:31
would
16:31
they
16:31
give
16:32
Target
16:33
their.
16:33
Their
16:34
entire
16:34
selves
16:35
to
16:35
make
16:35
this
16:35
transformation?
16:37
I
16:37
don't
16:37
know.
16:37
I
16:38
don't
16:38
know
16:38
that
16:39
I
16:39
could
16:39
see
16:39
that
16:39
happening.
16:40
And
16:40
so
16:41
my
16:41
question
16:42
and
16:42
my
16:42
hope
16:43
for
16:43
Target
16:43
and
16:44
for
16:44
fidelity
16:44
is
16:45
that
16:45
he's
16:45
seen
16:46
Targets
16:47
good,
16:47
he's
16:48
seen
16:48
what
16:48
it
16:48
can
16:49
be.
16:49
And
16:50
now
16:50
he's
16:50
in
16:51
a
16:51
position
16:52
still
16:52
with
16:52
Cornell
16:53
at
16:53
the
16:53
head
16:53
of
16:54
the
16:54
board.
16:54
But
16:55
he's
16:55
in
16:55
the
16:55
position
16:55
to
16:56
start
16:56
making
16:56
some
16:56
of
16:57
these
16:57
decisions.
16:57
And
16:58
I
16:58
really,
16:58
truly
16:59
hope
16:59
for
17:00
the
17:00
sake
17:00
of
17:00
all
17:01
of
17:01
those
17:01
people
17:02
still
17:02
at
17:02
Target,
17:02
all
17:03
the
17:03
people
17:03
who
17:03
love
17:03
shopping
17:04
the
17:04
brand,
17:04
that
17:05
he's
17:05
the
17:05
one
17:06
person
17:06
who
17:07
has
17:07
the
17:07
experience
17:08
to
17:08
make
17:08
the
17:08
brand
17:09
what
17:09
great
17:10
again
17:10
and
17:10
what
17:10
it
17:11
really
17:11
can
17:11
be.
17:11
And
17:12
especially,
17:12
especially
17:12
if
17:13
he
17:13
can
17:13
focus
17:13
on
17:14
bringing
17:14
that
17:14
design
17:15
perspective
17:16
and
17:16
point
17:16
of
17:16
view
17:17
that
17:17
Target
17:17
has
17:18
lost
17:18
throughout
17:18
the
17:18
years.
17:20
Ben,
17:21
what
17:21
do
17:21
you
17:21
think
17:21
on
17:21
that?
17:21
I
17:21
mean,
17:22
I
17:22
have
17:22
a
17:22
lot
17:22
of
17:22
thoughts
17:23
on
17:23
what
17:23
Ann
17:23
just
17:23
said.
17:23
What
17:24
do
17:24
you
17:24
think
17:24
there
17:24
before
17:24
I.
17:25
Before
17:25
I.
17:27
No,
17:28
I
17:28
think
17:28
a
17:28
lot
17:29
of
17:29
what
17:29
Ann
17:29
says
17:31
makes
17:31
a
17:32
lot
17:32
of
17:32
sense.
17:33
A
17:33
lot
17:33
of
17:33
sense.
17:33
And
17:34
you
17:34
can
17:34
believe
17:34
in
17:34
that.
17:35
I
17:35
think
17:35
the
17:35
point
17:35
about
17:37
you've
17:37
seen
17:38
Target
17:38
when
17:38
it's
17:38
good
17:38
and
17:38
how
17:39
to
17:39
get
17:39
back
17:39
to
17:39
this,
17:40
because
17:41
when
17:41
I
17:41
did
17:42
those
17:42
store
17:42
visits
17:43
that
17:43
first
17:43
day
17:43
in
17:43
Vegas,
17:45
the
17:45
one
17:45
retailer
17:46
that
17:46
stood
17:46
out
17:47
to
17:47
me
17:47
that
17:47
was
17:48
so
17:48
much
17:49
better
17:49
coming
17:49
out
17:49
the
17:50
pandemic
17:50
in
17:51
terms
17:51
of
17:51
in
17:51
store
17:52
standards,
17:52
in
17:52
terms
17:52
of
17:52
operations,
17:53
in
17:53
terms
17:53
of
17:53
proposition
17:54
was
17:54
Walmart.
17:56
So
17:56
what
17:56
happened
17:57
during
17:57
that
17:57
time
17:57
is
17:58
Walmart
17:58
went
17:58
one
17:58
way
17:59
and
17:59
Target
17:59
went
17:59
the
17:59
other.
18:00
Target's
18:01
opportunity
18:01
now
18:01
is
18:02
to
18:02
be
18:02
the
18:02
best
18:02
target
18:03
it
18:03
can
18:03
be,
18:04
not
18:04
try
18:05
and
18:05
copy
18:05
Walmart
18:06
or
18:06
try
18:06
and
18:06
copy
18:06
Amy.
18:08
And
18:08
how
18:08
can
18:09
it
18:09
find
18:09
the
18:10
best
18:10
Target?
18:10
Because
18:11
there's
18:11
a,
18:11
there's
18:12
a
18:12
gap
18:12
in
18:12
the
18:12
market
18:12
for
18:13
that.
18:14
Is
18:14
it
18:14
just
18:15
about
18:15
chasing
18:15
the
18:15
right
18:16
things
18:16
and
18:16
you
18:17
know,
18:17
a
18:17
leader
18:18
who
18:18
understands
18:19
that
18:20
could
18:20
be
18:20
well
18:20
placed.
18:21
But
18:21
I,
18:22
I
18:22
have
18:22
my
18:22
reservations.
18:24
I
18:25
think
18:26
the
18:27
city
18:27
and
18:28
the
18:28
street
18:28
haven't
18:29
been
18:29
excited
18:30
but
18:30
you
18:31
know,
18:31
post
18:32
three
18:32
4%
18:33
comms
18:33
in
18:33
the
18:33
next
18:34
quarterlies
18:35
and
18:35
they'll
18:35
be
18:35
fine.
18:36
So,
18:36
you
18:36
know,
18:36
I
18:37
think,
18:37
I
18:37
mean,
18:37
you've
18:37
just
18:37
got
18:37
to
18:37
see
18:38
what
18:38
he
18:38
can
18:38
do
18:38
and
18:38
how
18:39
he
18:39
can
18:39
bring
18:39
the
18:39
team
18:39
along
18:40
in
18:40
the
18:40
way
18:40
you
18:40
say.
18:40
I'm.
18:43
My
18:43
only
18:43
caveat
18:44
with
18:44
what
18:44
you
18:44
said
18:44
though,
18:45
Ann,
18:45
is
18:45
like,
18:45
I
18:45
think,
18:45
I
18:46
think
18:46
we're
18:46
lowering
18:47
the
18:47
bar
18:47
of
18:47
expectations.
18:48
If
18:48
it's
18:48
just
18:48
based
18:49
on
18:49
who
18:49
cares
18:49
about
18:49
getting
18:50
the
18:50
job,
18:50
like,
18:51
and
18:51
who
18:51
cares
18:51
about
18:51
the
18:52
brand,
18:52
like,
18:52
there's
18:52
a
18:53
lot
18:53
of
18:53
people
18:53
that
18:53
meet
18:54
that
18:54
qualification
18:55
and
18:55
I
18:55
can
18:55
name
18:56
X
18:56
people
18:57
at
18:57
Target
18:57
that
18:57
are
18:57
now
18:57
at
18:58
other
18:58
companies
18:58
that
18:58
are
18:58
doing
18:59
well,
18:59
that
18:59
have
18:59
more
19:00
merchandising
19:00
and
19:00
digital
19:01
experience
19:01
than
19:01
Fidelki
19:02
does.
19:02
And
19:02
I'm
19:02
curious
19:02
if
19:03
they
19:03
got
19:03
a
19:03
sniff
19:04
at
19:04
by
19:04
the
19:04
board.
19:04
I'm
19:05
curious.
19:05
There's
19:05
been
19:05
a
19:05
lot
19:06
of
19:06
comments
19:06
on
19:06
social
19:06
media
19:06
about
19:07
how
19:07
long
19:07
this
19:08
external
19:08
search
19:08
actually
19:09
happened,
19:09
if
19:10
it
19:10
did
19:10
in
19:10
fact
19:11
happen.
19:11
So
19:12
like
19:12
that's
19:12
where
19:12
I'm
19:12
like,
19:12
yeah,
19:13
I
19:13
can
19:13
see
19:14
what
19:14
you're
19:14
saying,
19:14
but
19:14
like
19:15
that
19:15
bar
19:15
is
19:16
really,
19:16
really
19:16
low.
19:17
If
19:17
that's
19:18
all
19:18
we're
19:18
basing
19:18
this
19:19
judgment
19:19
on.
19:20
Again
19:21
with
19:21
the
19:21
other
19:21
point
19:21
being
19:22
what's
19:23
been
19:23
happening
19:24
at
19:24
the
19:24
company
19:25
with
19:25
the
19:25
people
19:25
in
19:26
the
19:26
roles
19:26
that
19:26
they've
19:26
been
19:27
in,
19:27
they've
19:28
been
19:28
the
19:28
ones
19:28
in
19:28
charge
19:28
of
19:28
this.
19:29
And
19:29
so
19:29
I
19:30
don't
19:30
know,
19:30
that's,
19:30
that's
19:31
just
19:31
my
19:31
one,
19:32
my
19:32
one
19:32
caveat
19:32
with
19:32
what
19:33
you
19:33
said.
19:33
But
19:33
you,
19:34
I
19:34
give
19:34
you
19:34
the
19:35
last
19:35
word
19:35
and
19:35
then
19:35
we'll
19:35
move
19:35
on.
19:36
Yeah,
19:36
I
19:36
think
19:37
meaning
19:38
the
19:38
only,
19:38
the
19:39
only
19:39
counterpoint
19:39
I'd
19:40
say
19:40
is,
19:40
you
19:40
know,
19:41
Fidelke
19:41
wasn't
19:42
the
19:42
CEO,
19:42
you
19:43
know,
19:43
it
19:43
was
19:43
a,
19:43
it
19:44
was,
19:44
he
19:45
was
19:45
part
19:45
of
19:45
the
19:46
executive
19:46
team,
19:47
but
19:47
he
19:47
wasn't
19:48
the
19:48
one
19:48
making
19:48
the
19:49
final
19:49
decision.
19:50
And
19:50
so
19:50
my,
19:51
my
19:51
hope
19:51
is
19:52
again,
19:52
like,
19:52
if
19:53
he's
19:53
in
19:53
role,
19:54
he
19:54
has
19:54
a
19:54
big,
19:55
big
19:55
task
19:56
ahead
19:56
of
19:56
him
19:56
and
19:56
I
19:57
don't
19:57
want
19:57
to
19:57
diminish
19:58
the
19:58
point
19:58
of
19:58
like
19:59
he's
19:59
grown
20:00
up
20:00
with
20:00
all
20:00
the
20:00
other
20:01
people
20:01
who
20:01
are
20:01
in
20:01
the
20:01
executive
20:02
roles
20:02
right
20:03
now
20:03
at
20:03
Target.
20:03
Like
20:04
it's
20:04
not
20:04
going
20:04
to
20:04
be
20:04
easy
20:05
to
20:05
tell
20:05
those
20:06
people
20:06
in
20:07
merchandising,
20:07
in
20:08
marketing,
20:08
in
20:09
you
20:09
know,
20:09
ops
20:10
and
20:10
supply
20:10
chain
20:11
the
20:11
hard
20:11
truths
20:12
to
20:12
get
20:12
Target
20:13
to
20:13
where
20:13
it's
20:13
not
20:13
going
20:13
to,
20:14
it's
20:14
going,
20:14
it's
20:14
got
20:14
to
20:15
be.
20:15
But
20:16
you
20:16
know,
20:16
can,
20:17
can
20:17
he
20:17
do
20:17
that?
20:17
And
20:18
if
20:18
he
20:18
can,
20:19
hopefully
20:20
it,
20:21
it's
20:21
a,
20:21
it's
20:21
the
20:22
last
20:22
hope
20:22
for
20:22
the
20:22
brand.
20:23
But
20:24
again,
20:24
if
20:24
we're
20:24
giving
20:24
dispensation
20:25
for
20:25
that
20:26
conversation,
20:27
that's
20:27
a,
20:27
that's
20:27
a
20:28
red
20:28
flag
20:28
to
20:28
me
20:28
too
20:28
because
20:29
every
20:29
CEO
20:29
should
20:29
be
20:30
able
20:30
to
20:30
have
20:30
that
20:30
conversation
20:31
which
20:31
another
20:31
mentor
20:32
mindset.
20:32
Like
20:32
the
20:33
other
20:33
point
20:33
would
20:33
be
20:34
is
20:34
this
20:34
a
20:35
job
20:35
that's
20:35
just
20:35
too
20:35
big
20:35
for
20:36
a
20:36
first
20:36
time
20:36
CEO
20:37
like
20:37
that?
20:38
That's
20:38
a
20:38
legitimate
20:39
question
20:39
too.
20:39
I
20:40
think
20:40
Ford
20:41
should
20:41
be
20:41
asking
20:41
as
20:42
well,
20:42
like
20:42
you
20:42
need
20:43
to
20:43
know
20:43
how
20:43
to
20:43
be
20:43
a
20:44
CEO
20:44
to
20:44
run
20:45
Target
20:45
given
20:45
the
20:46
challenges
20:46
that
20:46
are
20:46
in
20:46
front
20:47
of
20:47
it,
20:47
especially
20:47
from
20:47
a
20:48
growth
20:48
standpoint.
20:48
That's
20:48
another
20:49
thing
20:50
that
20:50
I
20:50
think
20:50
needs
20:50
to
20:50
be
20:50
looked
20:50
at.
20:51
But
20:51
all
20:51
right,
20:52
Headline
20:52
number
20:53
two
20:53
Hertz
20:54
Car
20:54
Sales
20:55
Launched
20:55
on
20:55
Amazon
20:56
Autos
20:57
According
20:57
to
20:57
Hertz
20:58
press
20:58
release,
20:59
Hertz
20:59
Car
21:00
Sales
21:00
has
21:00
joined
21:00
Amazon
21:01
Autos
21:01
allowing
21:02
shoppers
21:02
to
21:02
browse,
21:02
finance
21:03
and
21:03
purchase
21:03
from
21:03
a
21:04
selection
21:04
of
21:04
thousands
21:05
of
21:05
high
21:05
quality
21:05
pre
21:05
owned
21:06
vehicles
21:06
as
21:07
Amazon
21:07
Auto's
21:08
first
21:08
fleet
21:09
dealer.
21:10
Man,
21:10
there's
21:10
a
21:10
lot
21:11
of
21:11
alliteration
21:11
in
21:11
this
21:11
headline.
21:12
Hertz
21:12
Car
21:13
Sales
21:13
is
21:13
expanding
21:14
the
21:14
available
21:14
inventory
21:15
on
21:15
Amazon
21:16
Autos
21:16
to
21:16
offer
21:17
a
21:17
wider
21:17
selection
21:18
of
21:18
well
21:18
maintained
21:18
vehicles
21:19
from
21:19
trusted
21:19
brands
21:20
like
21:20
Ford,
21:20
Toyota,
21:21
Chevrolet,
21:21
Nissan
21:22
and
21:22
more.
21:23
Customers
21:23
can
21:23
now
21:24
browse
21:24
Hertz
21:24
Car
21:24
Sales
21:25
listings
21:25
on
21:25
Amazon
21:26
Autos
21:26
complete
21:27
with
21:27
their
21:27
purchase
21:28
online
21:28
and
21:28
pick
21:28
up
21:29
their
21:29
vehicle
21:29
at
21:29
Hertz
21:30
Car
21:30
Sales
21:30
locations.
21:31
This
21:32
will
21:32
initially
21:33
begin
21:33
in
21:33
Dallas,
21:33
Houston,
21:34
Los
21:34
Angeles
21:35
and
21:35
Seattle
21:35
with
21:35
plans
21:36
to
21:36
expand
21:36
to
21:36
hertz
21:37
car
21:37
sales
21:37
45
21:38
locations
21:39
nationwide.
21:40
Quote
21:41
Our
21:41
goal
21:41
is
21:41
to
21:41
reimagine
21:42
the
21:42
car
21:42
buying
21:43
experience
21:43
and
21:43
meet
21:43
customers
21:44
where
21:44
they
21:44
are,
21:45
whether
21:45
online
21:46
or
21:46
in
21:46
person
21:46
with
21:47
convenience,
21:48
confidence
21:48
and
21:49
scale,
21:49
little
21:49
ccs,
21:50
said
21:51
Jeff
21:51
Adams,
21:51
Executive
21:52
Vice
21:52
President
21:52
of
21:52
Herz
21:53
Car
21:53
Sales.
21:54
Question
21:54
for
21:54
you
21:54
Ben.
21:55
Are
21:55
you
21:55
buying
21:55
or
21:56
selling?
21:57
Buying
21:57
a
21:58
used
21:58
car
21:58
from
21:59
Amazon.
22:00
Oh,
22:00
I'm
22:01
buying
22:01
this.
22:01
I'm,
22:02
I'm
22:02
buying.
22:03
Yeah,
22:03
this
22:03
is,
22:04
this
22:04
is
22:04
a
22:04
win
22:05
win
22:05
or,
22:05
or
22:06
it
22:06
could
22:06
be
22:06
a
22:06
win
22:06
win
22:06
win.
22:08
So
22:08
look
22:08
for
22:09
her.
22:10
They've
22:10
got
22:10
a,
22:10
they
22:10
have
22:11
these
22:11
rental
22:12
cars
22:12
have
22:12
got
22:12
a
22:12
large
22:13
number
22:13
of
22:13
cars
22:14
they
22:14
have
22:14
to
22:14
Shift
22:16
they
22:17
have
22:17
to
22:17
get
22:18
as
22:18
good
22:18
a
22:19
price
22:19
as
22:19
they
22:19
can
22:20
for
22:20
them.
22:20
So
22:21
for
22:21
them
22:21
they
22:21
just
22:21
want
22:21
to.
22:22
This
22:22
is
22:22
an
22:22
opportunity
22:23
to
22:23
build
22:23
off
22:23
Amazon's
22:24
traffic
22:24
rather
22:24
than
22:25
doing
22:25
at
22:26
the
22:26
moment
22:26
they
22:26
send
22:26
them
22:26
into
22:27
auction
22:27
houses
22:27
or
22:28
backdoor
22:29
into
22:29
dealers
22:29
networks,
22:30
often
22:30
at
22:31
reduced
22:31
prices.
22:33
So
22:33
this
22:34
is,
22:34
could
22:34
be
22:34
a
22:34
lovely
22:34
outlet
22:35
for
22:35
them.
22:35
For
22:35
Amazon
22:36
this
22:37
is
22:37
classic
22:38
marketplace
22:38
building
22:39
in
22:39
action.
22:40
It's
22:40
building
22:41
a
22:41
whole
22:42
volume
22:42
of
22:42
inventory.
22:43
Drive
22:43
the
22:44
search
22:44
results,
22:44
drive
22:45
awareness,
22:45
drive
22:46
traffic,
22:46
create
22:47
opportunities
22:47
for
22:47
selling
22:48
more
22:48
accessories
22:48
and
22:49
supplies.
22:49
You
22:49
already
22:50
automated
22:50
a
22:50
really
22:51
big
22:51
business
22:52
for
22:52
the
22:52
marketplace
22:53
in
22:53
Amazon
22:54
and
22:55
then
22:55
I
22:55
think
22:55
for
22:55
the
22:55
consumer
22:56
it's
22:56
huge
22:57
potential.
22:58
Secondhand
22:59
car
22:59
sales
23:00
is
23:00
a
23:00
market
23:01
absolutely
23:01
ripe
23:02
for
23:02
disruption
23:03
and
23:05
Amazon
23:06
Hertz
23:06
proposition
23:06
is
23:07
strong.
23:07
If
23:07
you
23:08
go
23:08
onto
23:08
the
23:08
website,
23:10
yeah,
23:10
it's
23:10
a,
23:10
it's
23:11
a
23:11
strong,
23:11
there's
23:12
inventory
23:13
there.
23:13
It's
23:14
really
23:14
simple
23:15
to
23:15
navigate.
23:16
The
23:16
finance
23:16
options
23:17
are
23:17
really
23:17
clear.
23:19
I
23:19
mean
23:19
hire
23:20
cars
23:20
look
23:20
high.
23:21
Cars
23:21
get
23:21
driven
23:21
unpredictably
23:23
but
23:23
they
23:23
are
23:23
maintained
23:24
really
23:24
well.
23:25
Rental
23:26
companies
23:26
have
23:26
to
23:27
look
23:27
after
23:27
their
23:27
fleet.
23:28
So
23:28
you're
23:28
probably
23:29
going
23:29
to
23:29
get
23:29
a
23:29
car
23:30
that's
23:30
been
23:30
maintained
23:30
and
23:30
cleaned
23:31
a
23:31
lot
23:31
more
23:32
than
23:32
your
23:32
average
23:33
secondhand
23:33
car.
23:35
You
23:35
probably
23:36
at
23:36
a
23:36
lower
23:37
price
23:38
and
23:38
then
23:39
Amazon
23:39
is
23:39
offering
23:40
with
23:40
a
23:40
discount.
23:41
So
23:41
meets
23:42
the
23:42
Amazon
23:42
value
23:43
prop.
23:43
Really
23:44
clear
23:44
financing.
23:45
Super
23:45
easy
23:46
for
23:46
Amazon,
23:46
super
23:47
easy
23:47
for
23:47
the
23:47
clients.
23:47
Amazon
23:48
probably
23:48
taking
23:48
a
23:49
cut.
23:51
It
23:52
feels
23:52
really
23:52
good.
23:53
And
23:53
then
23:53
look,
23:54
I'm
23:54
buying
23:54
it.
23:54
If
23:54
Amazon
23:55
could
23:55
go
23:55
one
23:55
step
23:56
further
23:56
and
23:56
just
23:57
disrupt
23:57
the
23:57
actual
23:57
higher
23:58
car
23:58
business
23:58
itself,
23:59
God,
23:59
I'd
24:00
be
24:00
really
24:00
happy
24:00
about
24:00
that.
24:01
But
24:01
for
24:02
now,
24:02
for
24:02
the
24:02
actual
24:03
secondhand
24:03
sales,
24:04
yeah,
24:04
I
24:05
think
24:05
this
24:05
is
24:05
a
24:05
great
24:05
move
24:05
for
24:06
both
24:06
parties.
24:07
Well,
24:07
so
24:07
tell
24:08
them
24:08
what
24:08
they
24:08
won,
24:08
Bob.
24:09
Yeah,
24:09
so
24:09
yeah,
24:10
so
24:10
yeah,
24:10
and
24:10
they
24:10
were,
24:11
and
24:11
they've
24:11
been
24:11
trying
24:11
to
24:11
do
24:11
that
24:11
with
24:12
Hyundai
24:12
too.
24:12
If
24:12
I
24:12
don't,
24:13
if
24:13
I'm
24:13
not
24:13
mistaken
24:14
early
24:14
on
24:15
based
24:15
on
24:15
some
24:15
of
24:15
the
24:15
things
24:15
they're
24:16
doing
24:16
early
24:16
in
24:16
the
24:16
year.
24:16
But
24:16
yeah,
24:16
this
24:17
is
24:17
overtly
24:17
into
24:17
the
24:18
used
24:18
car
24:18
sales.
24:19
And
24:19
do
24:19
you
24:19
agree
24:19
with
24:20
Ben
24:20
on
24:20
this
24:20
one?
24:21
I
24:21
do,
24:22
I'm,
24:22
I'm
24:22
buying
24:22
this
24:23
100%.
24:24
I've
24:24
said
24:25
for
24:25
years
24:25
the
24:25
retail
24:26
experience
24:26
that
24:26
I
24:27
would
24:27
most
24:27
like
24:27
to
24:28
be
24:28
disrupted
24:28
is
24:29
car
24:29
buying.
24:30
And
24:30
this
24:30
is
24:30
another
24:31
smart
24:32
move
24:32
towards
24:32
making
24:33
it
24:33
happen.
24:33
I
24:33
also,
24:34
I
24:34
think
24:34
the
24:35
consumer
24:35
now
24:36
with
24:36
Things
24:36
like
24:36
Carvana,
24:37
CarMax
24:38
and
24:38
Amazon
24:39
Autos
24:39
and
24:40
now
24:40
Hertz
24:40
being
24:40
part
24:40
of
24:41
that.
24:41
I
24:41
think
24:41
they're,
24:42
they're
24:42
finally
24:42
getting
24:43
over
24:43
the
24:43
hump
24:43
and
24:43
they're
24:44
kind
24:44
of
24:44
getting
24:44
into
24:44
mass
24:45
adoption
24:45
of
24:45
actually
24:46
shopping
24:46
for
24:47
a
24:47
car
24:47
this
24:47
way.
24:47
Like
24:48
people
24:48
are
24:48
more
24:49
comfortable
24:50
doing
24:50
the,
24:50
the
24:51
selection
24:51
of
24:51
the
24:52
kind
24:52
of
24:52
car
24:52
that
24:53
they
24:53
want,
24:53
the
24:53
research
24:54
at
24:54
home
24:54
and
24:54
then
24:55
this
24:55
very
24:56
easy
24:57
possibility
24:57
of
24:57
going
24:58
to
24:58
a
24:58
Hertz
24:59
test
24:59
driving
24:59
and
24:59
leaving.
25:00
I
25:00
have
25:01
one
25:01
of
25:01
the
25:01
listeners
25:01
reached
25:02
out
25:02
and
25:02
told
25:02
me
25:02
that
25:03
she
25:03
bought
25:03
a
25:04
car
25:04
off
25:04
of
25:04
CarMax
25:05
with
25:05
a
25:05
test
25:05
drive
25:05
in
25:06
45
25:06
minutes.
25:07
Like
25:07
that
25:08
is
25:08
giving
25:08
people
25:09
time
25:09
back,
25:10
precious
25:10
time.
25:11
And
25:11
I
25:11
think
25:11
that
25:12
the
25:12
convenience
25:13
angle
25:13
here
25:14
that
25:14
Amazon
25:14
and
25:15
Hertz
25:15
are
25:15
offering
25:16
car
25:16
shopping
25:17
customers
25:18
is,
25:18
is
25:19
something
25:19
that
25:20
on
25:20
a
25:20
platform
25:20
like
25:21
Amazon
25:21
that
25:21
they're
25:22
very
25:22
comfortable
25:22
with
25:22
already
25:23
is
25:23
what
25:23
I
25:24
really
25:24
love
25:24
about
25:24
this
25:25
and
25:25
I
25:25
think
25:25
has
25:26
the
25:26
most
25:26
potential
25:27
to
25:27
see
25:28
success
25:28
with,
25:28
with
25:29
a
25:29
campaign
25:29
like
25:29
this.
25:30
But
25:30
where,
25:30
what
25:31
do
25:31
you
25:31
think
25:31
Chris?
25:32
Are
25:32
you,
25:32
are
25:32
you
25:33
buying
25:33
it?
25:33
Yeah,
25:34
I
25:34
like
25:34
it
25:35
too.
25:35
I
25:35
think
25:35
it's,
25:35
I
25:36
think
25:36
it's
25:36
so
25:36
smart
25:36
and
25:37
I
25:37
think,
25:37
you
25:37
know,
25:37
some,
25:37
some
25:38
retail
25:38
listers
25:38
might
25:39
be
25:39
like
25:39
why
25:39
you
25:39
guys
25:39
covering
25:39
this
25:40
story?
25:40
This
25:40
isn't
25:40
applicable
25:40
to
25:41
most
25:41
retail,
25:41
but
25:42
it
25:42
actually
25:42
is
25:42
because
25:43
if
25:43
you
25:43
think
25:43
about
25:43
it,
25:43
it's
25:43
not
25:43
that
25:44
dissimilar
25:44
to
25:44
what
25:44
Abercrombie
25:45
Kids
25:45
is
25:46
doing
25:46
with
25:46
now
25:46
was
25:47
Macy's
25:47
a
25:47
couple
25:47
weeks
25:47
ago.
25:48
Now
25:48
they
25:48
said
25:48
it's
25:48
Nordstrom's
25:49
and
25:49
it's
25:49
even
25:49
I
25:50
think
25:50
Dick
25:50
Sporting
25:50
Goods.
25:51
Not
25:51
mistaken.
25:52
Right.
25:52
But
25:52
they're
25:53
doing
25:53
that
25:53
in
25:53
store.
25:53
But
25:53
they
25:54
could
25:54
also
25:54
be
25:54
doing
25:54
it
25:54
through
25:54
their
25:54
digital
25:55
marketplaces
25:55
because
25:57
marketplaces
25:57
are
25:57
important
25:58
because
25:58
they
25:58
give
25:58
you
25:58
access
25:59
to
25:59
more
25:59
people
26:00
who
26:00
like
26:01
me,
26:02
I
26:02
didn't
26:02
even
26:02
think
26:02
I
26:02
could
26:03
go
26:03
to
26:03
Hertz
26:03
to
26:04
buy
26:04
a
26:04
car.
26:04
Like
26:04
I
26:04
never
26:05
even.
26:05
That
26:05
Hertz
26:06
never
26:06
even
26:06
entered
26:06
my
26:07
consideration
26:07
set.
26:08
Right.
26:08
And
26:08
now
26:09
it
26:09
does.
26:09
So
26:09
I
26:09
can
26:10
easily
26:10
sort
26:10
through
26:10
the
26:10
inventory
26:11
on
26:11
Amazon.
26:12
Like
26:12
Ben
26:12
said,
26:13
I
26:13
trust
26:13
Amazon,
26:14
right.
26:15
Implicitly.
26:16
I
26:16
think
26:16
that's
26:16
one
26:16
of
26:16
the
26:16
best
26:16
things
26:16
about
26:17
shopping
26:17
on
26:17
Amazon.
26:18
And
26:18
then
26:18
the
26:19
other
26:19
question
26:19
too
26:19
that
26:19
I
26:19
got
26:20
going
26:20
as
26:20
we
26:20
were
26:20
at
26:20
the
26:20
Walmart
26:21
seller
26:21
conference
26:21
this
26:22
week
26:22
because
26:22
they're
26:23
always
26:23
trying
26:23
to
26:23
one
26:23
up
26:23
each
26:24
other
26:24
is
26:24
how
26:25
long
26:25
before
26:25
we
26:25
start
26:25
seeing
26:26
Walmart
26:26
auto
26:27
sales?
26:27
You
26:27
know,
26:27
like
26:28
they're
26:28
already
26:28
doing
26:28
all
26:29
the
26:29
automotive
26:29
angles
26:29
with
26:30
everything
26:30
they
26:30
do
26:30
with
26:30
their.
26:31
What
26:31
are
26:31
those
26:31
called?
26:32
The,
26:32
you
26:32
know,
26:32
the
26:32
tires,
26:33
the
26:34
change.
26:34
The
26:34
auto
26:35
centers
26:35
in
26:35
their
26:35
stores.
26:36
So
26:37
like
26:37
yeah,
26:37
why
26:37
isn't
26:38
this
26:38
become
26:38
part
26:39
of
26:39
that
26:39
experience
26:39
in
26:40
some
26:40
way,
26:40
shape
26:40
or
26:40
form?
26:41
I
26:41
don't
26:41
know.
26:41
But
26:42
yeah,
26:42
yeah,
26:42
it's
26:42
just
26:43
so
26:43
smart.
26:44
My
26:44
favorite
26:44
thing
26:44
is
26:44
that
26:45
I'm
26:45
still
26:45
being
26:45
served
26:46
up
26:46
bananas
26:47
when
26:47
I
26:47
go
26:47
look
26:47
for
26:48
the
26:48
car.
26:48
Like
26:48
the
26:48
Amazon
26:49
fresh
26:49
cart
26:50
is
26:50
still
26:50
popping
26:50
up
26:50
from
26:51
our
26:51
story
26:51
last
26:51
week
26:52
about
26:52
last
26:52
minute
26:53
delivery.
26:53
Like
26:53
what
26:54
do
26:54
you
26:54
need
26:54
a
26:54
rental
26:55
car
26:55
and
26:56
some
26:56
bananas
26:57
and
26:57
maybe
26:57
some
26:57
toilet
26:58
paper.
26:58
We
26:58
don't
26:59
know
26:59
but
26:59
it's
26:59
all
27:00
there
27:00
and
27:00
it's
27:00
all
27:00
on
27:01
one
27:01
platform.
27:02
Cue
27:02
Gwen
27:03
Stefani.
27:03
All
27:04
right,
27:04
all
27:04
right.
27:04
Headline
27:05
number
27:05
three.
27:06
Best
27:06
Buy
27:07
officially
27:08
launched
27:08
its
27:09
third
27:09
party
27:09
marketplace.
27:10
According
27:11
to
27:11
cnbc.
27:11
Again
27:12
starting
27:12
last
27:12
Tuesday,
27:13
shoppers
27:13
who
27:13
go
27:13
to
27:14
Best
27:14
Buy's
27:14
website
27:14
and
27:15
app
27:15
will
27:15
see
27:15
products
27:16
and
27:16
brands
27:16
that
27:17
weren't
27:17
available
27:17
there
27:18
before,
27:18
including
27:19
more
27:19
tech
27:19
related
27:20
accessories
27:20
like
27:20
custom
27:21
video
27:21
game
27:22
controllers
27:22
and
27:23
some
27:23
non
27:23
tech
27:23
items
27:24
including
27:24
seasonal
27:25
decor,
27:25
core
27:25
and
27:26
sports
27:26
collectibles.
27:27
At
27:27
launch,
27:28
Best
27:28
Buy's
27:28
marketplace
27:29
will
27:29
have
27:29
about
27:29
500
27:30
sellers.
27:31
The
27:31
company
27:31
reportedly
27:32
vetted
27:32
applicants
27:33
and
27:33
whittled
27:33
them
27:33
down
27:34
to
27:34
the
27:34
ones
27:34
who
27:34
can
27:34
provide
27:35
a
27:35
high
27:35
quality
27:36
customer
27:36
experience.
27:37
And
27:37
the
27:38
sellers
27:38
much
27:39
must
27:39
match
27:39
Best
27:40
Buy's
27:40
return
27:41
policy.
27:42
All
27:43
right,
27:43
question,
27:44
Ben,
27:44
we're
27:44
going
27:44
to
27:44
go
27:44
to
27:45
you
27:45
first.
27:46
What
27:46
does
27:47
Best
27:47
Buy
27:47
have
27:48
to
27:48
do
27:48
right
27:49
to
27:49
make
27:49
this
27:50
marketplace
27:50
successful?
27:52
Oh,
27:52
great,
27:53
great
27:53
question.
27:55
I
27:55
think
27:55
I
27:56
like
27:56
this
27:56
for
27:57
two
27:57
reasons.
27:58
Why
27:59
is
27:59
advertising
27:59
I'll
28:00
come
28:00
back
28:00
to,
28:01
but
28:02
the
28:02
other
28:02
is
28:02
sort
28:02
of
28:02
stepping
28:03
back
28:03
and
28:03
thinking
28:04
about
28:04
what
28:04
Best
28:04
Buy
28:05
is
28:06
doing
28:06
or
28:06
could
28:07
do
28:07
with
28:07
its
28:07
merchandising
28:08
strategy.
28:09
So
28:10
back
28:11
in
28:11
April
28:11
it
28:12
launched
28:12
its
28:12
creator
28:13
storefront
28:14
program
28:14
and
28:15
that
28:15
was
28:15
working
28:16
with
28:16
influencers
28:17
to
28:17
curate
28:18
products
28:18
that
28:19
they
28:19
could
28:19
drive
28:19
commission
28:20
of.
28:20
So
28:20
I
28:21
went
28:21
back
28:21
and
28:21
had
28:21
a
28:21
look
28:21
and
28:21
in
28:22
the
28:22
Q1
28:22
results
28:22
they
28:23
talked
28:23
about
28:23
having
28:23
already
28:24
having
28:25
60
28:25
of
28:25
those
28:25
storefronts
28:26
set
28:26
up
28:27
and
28:27
working
28:27
with
28:27
over
28:28
400
28:28
influencers.
28:29
So
28:30
it
28:30
that's
28:30
moving
28:31
and
28:31
look
28:31
forward
28:32
to
28:32
kind
28:32
of
28:32
more
28:33
news
28:33
on
28:34
how
28:34
that
28:34
is
28:35
scaling
28:36
financially.
28:37
But
28:37
if
28:38
you
28:38
add
28:38
the
28:38
marketplace
28:39
in,
28:39
we
28:39
potentially
28:40
got
28:40
is
28:40
kind
28:40
of
28:40
a
28:40
model
28:41
where
28:41
you've
28:41
got
28:42
the
28:43
influencer
28:44
as
28:44
the
28:44
merchant,
28:45
the
28:46
Best
28:46
Buy
28:46
team
28:47
as
28:47
the
28:47
merchant
28:48
or
28:48
the
28:48
marketplace,
28:49
which
28:49
is
28:49
your
28:49
endless
28:50
aisle
28:50
and
28:50
you
28:50
are
28:50
the
28:51
merchant.
28:51
And
28:52
it's
28:52
kind
28:52
of
28:52
almost
28:52
like
28:52
create
28:53
your
28:53
own
28:53
adventure.
28:54
And
28:55
that
28:55
could
28:55
be
28:55
a
28:56
load
28:56
of
28:56
fun
28:56
because
28:57
if
28:57
your
28:57
Best
28:57
Buy
28:58
you
28:58
could
28:58
lean
28:58
into
28:59
who
28:59
do
28:59
you
28:59
want
28:59
to
29:00
shop
29:00
with?
29:01
You
29:01
can
29:02
make
29:02
more
29:02
of
29:03
their
29:03
team,
29:03
make
29:03
more
29:03
of
29:04
their
29:04
merchants.
29:05
The
29:05
Blue
29:05
Jackets
29:06
have
29:06
already
29:06
got
29:06
this
29:06
reputation
29:07
for
29:07
customer
29:08
service.
29:09
You
29:09
build
29:10
that
29:10
up
29:10
and
29:11
then
29:11
you
29:11
say,
29:11
oh,
29:12
actually
29:12
we've
29:12
got
29:12
this
29:12
incredible
29:13
marketplace
29:14
where
29:14
you
29:15
can
29:15
go
29:15
and
29:16
people
29:16
who
29:16
love
29:17
their
29:17
technology,
29:17
who
29:18
love
29:18
their
29:18
gaming,
29:19
who
29:19
love
29:19
their
29:20
can
29:20
go
29:20
find
29:21
a
29:21
niche
29:21
product
29:21
or
29:22
can
29:22
go
29:22
find
29:22
the
29:22
latest
29:23
launches
29:23
that
29:23
they
29:23
can
29:23
bring
29:24
to
29:24
market
29:25
quicker
29:25
than
29:26
trying
29:26
to
29:26
bring
29:26
them
29:26
into
29:26
the
29:26
full
29:27
Best
29:27
Buy
29:28
infrastructure.
29:28
So
29:29
it
29:29
gives
29:29
them
29:30
pace,
29:30
it
29:30
gives
29:30
them
29:30
speed.
29:32
So
29:32
what
29:32
I
29:32
love
29:33
to
29:33
see
29:33
to
29:33
make
29:33
this
29:34
successful
29:34
is
29:35
that
29:35
love
29:36
to
29:36
see
29:36
how
29:36
they
29:37
could
29:37
bring
29:38
this
29:38
idea
29:38
of
29:39
these
29:39
three
29:39
different
29:39
routes
29:40
of
29:40
merchandising
29:40
and
29:40
curation
29:41
onto
29:41
the
29:42
website
29:43
at
29:43
the
29:43
moment
29:43
curators
29:43
aren't
29:44
even
29:44
on.
29:45
You
29:45
have
29:45
to
29:45
find
29:46
them
29:46
through
29:46
the
29:47
creator.
29:47
And
29:48
it's
29:48
quite
29:48
hard
29:48
just
29:49
navigating
29:49
the
29:49
website
29:49
to
29:50
know
29:50
what
29:50
is
29:51
marketplace
29:51
versus
29:52
what
29:52
is
29:52
their
29:52
stock.
29:53
So
29:53
call
29:53
it
29:53
out,
29:54
make
29:54
a
29:54
plus
29:54
of
29:54
it.
29:55
And
29:56
if
29:56
you
29:56
do
29:56
that,
29:57
okay,
29:57
you've
29:58
then
29:58
got
29:58
an
29:58
opportunity
29:58
to
29:59
drive
29:59
some
29:59
ad
29:59
revenue
30:00
because
30:00
you
30:00
can
30:00
build
30:00
new
30:01
brand
30:01
partnerships.
30:02
And
30:02
if
30:02
you
30:03
think
30:03
about
30:03
core
30:04
retail
30:04
media
30:04
is
30:05
all
30:05
about
30:06
paying
30:07
for
30:07
sponsored
30:07
search.
30:08
But
30:09
if
30:09
you
30:09
did
30:09
a
30:09
great
30:09
job
30:10
as
30:10
a
30:10
merchant
30:10
and
30:10
curated
30:11
your
30:11
products
30:11
beautifully,
30:12
you
30:12
don't
30:13
need
30:13
brands
30:14
to
30:14
paint
30:14
the
30:14
search
30:14
because
30:15
the
30:15
great
30:15
stuff
30:15
will
30:16
come
30:16
up.
30:16
That's
30:16
why
30:16
you
30:17
need
30:17
a
30:17
marketplace
30:17
where
30:18
you
30:18
flooded
30:18
with
30:18
sellers
30:19
who
30:19
won't
30:19
sell
30:19
anything
30:20
unless
30:20
you
30:20
actually
30:20
pay.
30:21
So
30:21
they've
30:22
created
30:23
a
30:23
model
30:23
for
30:24
exciting
30:24
merchandising
30:25
and
30:26
the
30:26
model
30:26
to
30:27
drive
30:27
ad
30:27
revenue
30:27
as
30:28
well.
30:28
If
30:29
they're
30:30
brave
30:30
enough
30:31
to
30:31
not
30:31
just
30:32
list
30:32
everything
30:33
on
30:33
one
30:33
website
30:33
and
30:33
say
30:34
go
30:34
for
30:34
it.
30:34
Right,
30:35
right.
30:35
Well.
30:36
And
30:36
Chris,
30:36
you
30:36
and
30:36
I
30:37
saw
30:37
at
30:37
the
30:37
Walmart
30:38
sellers
30:38
conference
30:38
this
30:38
week
30:39
just
30:39
how
30:39
important
30:40
tools
30:40
like
30:41
helping
30:41
the
30:42
sellers
30:42
with,
30:43
you
30:43
know,
30:43
advertising
30:44
and
30:44
making
30:45
sure
30:45
that
30:45
they
30:45
can
30:45
get
30:46
to
30:46
the
30:46
right
30:46
consumers
30:47
and
30:48
tools
30:48
like
30:49
support
30:50
services
30:51
and
30:51
things
30:51
like
30:51
that
30:51
to
30:52
make
30:52
sure
30:52
that
30:52
they
30:52
can
30:52
quickly
30:53
onboard
30:53
products
30:53
like
30:54
all
30:54
of
30:54
those,
30:54
that
30:55
toolkit
30:55
that
30:55
they're
30:56
able
30:56
to
30:56
provide
30:57
their
30:57
sellers
30:58
is
30:58
what's
30:58
helping
30:58
them
30:59
get
30:59
as
30:59
many
30:59
sellers
31:00
as
31:00
they
31:00
have.
31:00
But,
31:01
but
31:01
Chris,
31:02
what
31:02
do
31:02
you
31:02
think
31:02
they
31:02
need
31:03
to
31:03
be
31:03
successful?
31:04
Yeah,
31:04
I
31:05
got
31:05
a
31:05
couple
31:05
thoughts
31:05
on
31:05
this
31:05
one.
31:06
You
31:06
know,
31:06
and
31:06
I
31:06
think
31:06
there's
31:07
actually
31:07
a
31:07
constituency
31:08
that,
31:09
that,
31:09
that
31:10
Ben
31:10
hasn't
31:10
addressed
31:11
here
31:11
that
31:11
could
31:11
benefit
31:12
from
31:12
this
31:12
in
31:12
the
31:12
Best
31:12
Buy
31:13
organization.
31:13
And
31:13
that's
31:13
Geek
31:14
Squad.
31:15
I
31:15
think
31:15
the
31:15
marketplace
31:16
creates
31:17
an
31:17
incredible
31:18
upsell
31:18
opportunity
31:19
for
31:20
the
31:20
Geek
31:20
Squad
31:20
because
31:21
you
31:21
know,
31:21
you
31:21
can
31:22
carry
31:22
higher
31:22
price
31:23
things
31:23
that
31:23
you're
31:23
going
31:23
to
31:24
want
31:24
in
31:24
a
31:24
very
31:25
highly
31:25
consultive
31:26
sale
31:26
when
31:26
you're
31:27
in
31:27
the,
31:27
in
31:27
someone's
31:28
house.
31:29
And
31:29
I
31:29
had
31:29
the
31:29
best
31:30
geek,
31:30
Geek
31:31
Squad
31:31
experience
31:32
of
31:32
my
31:32
life
31:33
this
31:33
weekend
31:33
and
31:33
I
31:33
was
31:33
talking
31:34
about
31:34
it
31:34
on
31:34
our
31:34
trip,
31:35
like
31:35
shout
31:35
out
31:35
to
31:36
TJ
31:36
Shea
31:36
of
31:37
Geek
31:37
Squad
31:37
because
31:38
I
31:38
hope
31:38
the
31:38
Best
31:38
Buy
31:39
executives
31:39
are
31:39
listening
31:40
because
31:40
this
31:40
guy
31:40
needs
31:40
accommodation.
31:41
He
31:42
was
31:42
so
31:42
top
31:43
notch.
31:43
And
31:44
I
31:44
could
31:44
immediately,
31:45
as
31:45
he
31:45
was
31:45
doing
31:45
things
31:45
with
31:46
the
31:46
app,
31:46
sending
31:46
me,
31:47
texting
31:47
me
31:47
things,
31:47
different
31:48
things
31:48
I
31:48
could
31:48
purchase,
31:48
I
31:49
could
31:49
immediately
31:49
see
31:50
where
31:50
this
31:50
goes
31:51
with
31:51
Marketplace.
31:52
And
31:52
so
31:52
that
31:52
was
31:52
really,
31:53
really
31:53
powerful.
31:53
So
31:53
I
31:54
love
31:54
that.
31:55
But
31:55
on
31:55
the
31:55
other
31:55
hand,
31:56
there's
31:56
another
31:57
thing
31:57
I
31:57
would
31:57
say
31:57
they
31:57
need
31:57
to
31:58
be
31:58
successful.
31:58
And
31:59
that
31:59
is,
32:00
it's,
32:01
it's,
32:01
they
32:01
can't
32:01
go
32:02
too
32:02
slow.
32:03
500
32:03
vendors
32:04
seems
32:05
really
32:05
really
32:06
slow
32:06
to
32:06
me.
32:07
And
32:07
I
32:07
don't
32:07
want
32:07
them
32:07
to
32:08
make
32:08
the
32:08
same
32:08
mistakes.
32:08
Targets
32:09
made.
32:09
I
32:09
talked
32:09
about
32:10
the
32:10
top
32:10
4%
32:10
growth.
32:11
Not
32:11
enough.
32:11
And
32:11
that's
32:12
coming
32:12
from
32:12
the
32:12
lack
32:13
of
32:13
growth
32:13
in
32:13
marketplace.
32:14
And
32:14
the
32:14
big
32:14
thing
32:14
that
32:15
I've
32:15
learned
32:15
over
32:15
the
32:15
years
32:15
with
32:16
marketplaces,
32:16
you
32:17
can't
32:17
overthink
32:17
it.
32:17
You
32:18
gotta
32:18
draft
32:18
your
32:19
criteria,
32:19
you
32:19
gotta
32:19
get
32:20
moving,
32:20
you
32:20
gotta
32:20
refine
32:21
it
32:21
as
32:21
you
32:21
go
32:21
and
32:22
then
32:22
you
32:22
learn
32:22
more.
32:23
And
32:23
when
32:23
you
32:23
think
32:24
about
32:24
it
32:24
from
32:24
the
32:24
perspective
32:25
of
32:25
Walmart,
32:25
we
32:25
just
32:26
spent
32:26
a
32:26
lot
32:26
of
32:26
time
32:26
with
32:27
a
32:27
half
32:27
a
32:27
billion
32:28
SKUs.
32:29
So
32:29
if
32:29
you
32:29
aren't
32:29
at
32:29
least
32:30
at
32:30
an
32:30
exponential
32:31
amount
32:31
more
32:32
than
32:32
500
32:33
by
32:33
next
32:33
year,
32:34
like
32:34
5,000,
32:35
10,000.
32:36
My
32:37
point,
32:37
my
32:37
hunch
32:37
is
32:38
that
32:38
you're
32:38
probably
32:38
going
32:39
too
32:39
slow.
32:39
But.
32:40
But
32:40
who
32:40
knows,
32:40
Maybe
32:40
I'm
32:41
wrong.
32:41
Best
32:41
Buy
32:42
executives
32:42
come
32:42
and
32:42
tell
32:43
me,
32:43
but
32:43
I
32:43
think,
32:43
I
32:44
think
32:44
I'm
32:44
a
32:44
little
32:44
worried
32:44
you're
32:45
going
32:45
too
32:45
slow
32:45
to
32:45
start.
32:46
You
32:46
can
32:46
go
32:46
faster.
32:47
You
32:47
just
32:47
got
32:47
to
32:47
keep
32:47
the
32:47
criteria
32:48
tight
32:48
in
32:48
terms
32:49
of
32:49
what
32:49
you're
32:49
going
32:49
to
32:49
allow
32:50
in
32:50
and
32:50
then
32:50
evaluate
32:51
your
32:51
performance
32:51
from
32:52
there.
32:52
All
32:52
right,
32:53
so
32:53
yeah.
32:53
So
32:54
let's
32:54
bring
32:54
Danella
32:55
onto
32:55
the
32:55
show.
33:01
Let's
33:01
give
33:01
a
33:01
big
33:01
Omni
33:02
Talk
33:02
welcome
33:02
back
33:03
to
33:03
AWS's
33:03
Danil
33:04
Estropa.
33:04
Danielle
33:05
is
33:05
here
33:05
to
33:05
hand
33:06
out
33:06
this
33:06
month's
33:06
Retail
33:07
Tech
33:07
Startup
33:07
of
33:07
the
33:08
Month
33:08
award.
33:08
Danielle,
33:09
for
33:09
those
33:09
that
33:09
may
33:10
not
33:10
remember,
33:10
is
33:10
the
33:10
worldwide
33:11
technical
33:11
lead
33:12
for
33:12
AWS
33:12
Partners
33:13
in
33:13
Retail
33:13
at
33:14
Amazon
33:14
Web
33:14
Services
33:15
where
33:15
he
33:15
drives
33:16
a
33:16
technical
33:16
strategy
33:17
for
33:17
AWS
33:18
Partners
33:18
in
33:18
Digital
33:18
Commerce,
33:19
Customer
33:20
engagement
33:20
and
33:21
Generative
33:21
AI.
33:22
Daniela,
33:23
we're
33:23
three
33:23
months
33:23
in
33:24
to
33:24
handing
33:24
out
33:24
this
33:24
award
33:25
and
33:25
our
33:25
first
33:25
two
33:26
Retail
33:26
Startups
33:26
of
33:27
the
33:27
Month
33:27
have
33:27
been
33:27
blowing
33:28
up
33:28
on
33:28
YouTube,
33:28
both
33:29
with
33:29
over
33:29
30,000
33:30
views
33:30
so
33:31
far.
33:31
So
33:31
let's
33:31
not
33:32
make
33:32
the
33:32
audience
33:32
wait
33:33
any
33:33
longer.
33:33
Let's
33:34
not
33:34
keep
33:34
them
33:34
in
33:34
suspense.
33:35
Who
33:36
is
33:36
August
33:37
Retail
33:37
Tech
33:38
Startup
33:38
of
33:38
the
33:38
Month,
33:39
please?
33:39
This
33:40
month
33:40
peak
33:41
is
33:41
Vodi
33:43
and
33:44
they
33:44
are
33:44
one
33:44
of
33:44
our
33:44
partners.
33:45
We've
33:45
been
33:45
working
33:46
with
33:46
them
33:46
for,
33:47
for
33:48
bit
33:48
over
33:48
a
33:48
year
33:48
now
33:49
and
33:49
they
33:49
are
33:50
pioneering
33:52
making
33:53
E
33:53
commerce
33:53
data
33:54
ready
33:55
for
33:55
AI
33:56
and
33:56
AI
33:57
agents
33:57
by
33:58
building
33:58
these
33:59
intelligent
34:00
data
34:00
infrastructure
34:01
solution.
34:02
And
34:02
the
34:03
reason
34:03
I
34:03
picked
34:04
them
34:04
this
34:04
month
34:05
is
34:06
because
34:06
everything
34:06
starts
34:07
with
34:07
data,
34:07
right?
34:08
And
34:09
we
34:09
know
34:09
that
34:10
good
34:11
data
34:11
in
34:12
means
34:12
good
34:13
data
34:13
out
34:13
and
34:14
good
34:14
results,
34:15
good
34:16
conversions
34:17
for
34:17
our
34:17
customers.
34:18
Danelli,
34:19
what,
34:19
what
34:19
was
34:20
it
34:20
about
34:20
this
34:21
company
34:21
that
34:21
really
34:22
like
34:22
made
34:22
you
34:22
pause
34:23
and
34:23
be
34:23
like,
34:24
this
34:24
has
34:24
to
34:24
be
34:24
part
34:25
of
34:25
our
34:25
ecosystem.
34:26
What,
34:26
what
34:26
kind
34:26
of
34:26
set
34:26
them
34:27
apart
34:27
from
34:27
others
34:27
that
34:28
you're
34:28
seeing
34:28
in
34:28
the
34:28
space?
34:29
The
34:29
way
34:29
we
34:30
look
34:30
at
34:30
it
34:30
is
34:32
customers,
34:33
customer
34:33
needs,
34:34
right?
34:34
And
34:35
when
34:35
Looking
34:35
at
34:35
some
34:35
of
34:36
the
34:36
customers
34:37
challenges
34:38
is
34:39
product
34:39
discoverability
34:40
is,
34:40
is
34:41
one
34:41
of
34:41
those,
34:42
one
34:42
of
34:42
those
34:42
challenges.
34:43
I'm
34:43
sure
34:43
we,
34:43
we've
34:44
all
34:44
have
34:44
been
34:44
in
34:44
that
34:45
situation
34:45
where
34:45
we're
34:46
trying
34:46
to
34:46
look
34:46
for,
34:47
for
34:47
something,
34:48
to
34:48
buy
34:48
something
34:49
and
34:49
we
34:49
cannot
34:50
quite
34:50
find
34:51
the
34:51
right
34:52
thing
34:52
that
34:52
we
34:52
have
34:53
in
34:53
our
34:54
head.
34:54
Right.
34:54
Whether
34:54
because
34:55
we're
34:55
using
34:56
different
34:56
type
34:56
of
34:56
keywords
34:57
or
34:57
different
34:59
search
34:59
terms.
35:00
And
35:01
many
35:02
companies
35:02
are
35:03
tackling
35:04
these
35:04
by
35:04
building
35:05
a
35:05
chatbot
35:06
or
35:06
investing
35:07
in
35:07
search
35:08
technologies.
35:09
However,
35:10
what
35:10
VOD
35:10
is
35:11
doing
35:11
is
35:11
really
35:12
tackling
35:12
this
35:13
issue
35:14
at
35:14
the
35:14
root.
35:14
So
35:15
at
35:16
the
35:16
data
35:17
we
35:17
know
35:18
that
35:18
bad
35:19
data
35:19
means
35:20
bad
35:20
results.
35:21
So
35:21
by
35:21
tackling
35:22
that
35:23
we
35:23
know
35:24
that
35:24
we
35:24
can
35:24
improve
35:26
on
35:27
many
35:28
of
35:28
these
35:28
results.
35:30
What
35:30
they
35:30
are
35:31
building
35:31
is
35:32
quite
35:32
a
35:32
sophisticated
35:33
system
35:34
that
35:34
takes
35:36
a
35:36
messy
35:37
product
35:37
catalog
35:38
in
35:38
different
35:39
shapes
35:39
and
35:39
forms
35:40
and
35:41
transforms
35:42
that
35:42
into
35:42
an
35:43
AI
35:43
optimized
35:44
data
35:45
using
35:46
state
35:46
of
35:46
the
35:46
art
35:47
multimodal
35:48
large
35:48
language
35:49
model
35:49
that
35:50
they
35:50
are
35:50
specifically
35:51
fine
35:51
tuned
35:52
for
35:53
retail.
35:54
And
35:54
they
35:54
achieve
35:55
this
35:56
in
35:56
two
35:56
ways.
35:57
The
35:57
first
35:57
one
35:57
is
35:58
that
35:58
data
35:59
extraction,
36:01
structuring
36:02
of
36:02
data
36:03
from
36:03
different
36:03
sources,
36:04
whether
36:05
it's
36:05
PDFs,
36:06
spreadsheets
36:07
and
36:08
different
36:08
sources.
36:09
And
36:10
they're
36:10
extracting
36:11
that
36:11
data
36:11
to
36:11
build
36:12
these
36:12
solid
36:13
data
36:13
foundation.
36:15
On
36:15
top
36:15
of
36:15
that
36:16
then
36:17
they
36:17
are
36:17
injecting
36:18
real
36:19
world
36:19
context
36:20
to
36:21
make
36:21
this
36:21
data
36:22
optimized
36:22
and
36:23
available
36:23
to
36:24
AI
36:25
agents
36:26
and
36:27
what
36:28
will
36:28
come
36:28
in
36:28
the
36:28
future.
36:29
Right.
36:29
So
36:30
their
36:30
data
36:31
will
36:32
understand
36:33
different
36:33
trends
36:34
like
36:34
Balletcore
36:35
for
36:35
example,
36:36
or
36:37
what
36:38
makes
36:38
a
36:38
good
36:39
Father's
36:40
Day
36:40
gift,
36:40
for
36:40
example.
36:41
Right,
36:41
right.
36:43
And
36:43
I
36:43
think
36:43
what's
36:44
quite
36:45
unique
36:46
or
36:46
what's
36:46
quite
36:46
impressive
36:47
about
36:47
what
36:47
they're
36:48
doing
36:48
is
36:48
the
36:49
kind
36:49
of
36:49
results
36:50
that
36:50
they
36:50
are,
36:50
that
36:51
they're
36:51
already
36:51
driving
36:51
and
36:52
that
36:52
some
36:52
of
36:52
their
36:52
customers
36:53
are
36:53
seeing,
36:54
their
36:55
customers
36:55
are
36:55
seeing
36:56
10%
36:58
improvements
36:59
in
36:59
conversion
37:00
rates,
37:00
which
37:00
is
37:01
huge.
37:02
Right.
37:03
You
37:03
know
37:03
what's
37:03
interesting
37:03
to
37:04
me
37:04
too,
37:04
what
37:04
you're
37:05
saying
37:05
is
37:05
like,
37:05
you
37:05
know,
37:05
we've
37:06
talked
37:06
to
37:06
a
37:06
lot
37:06
of
37:06
companies
37:07
in
37:07
the,
37:07
in
37:07
the
37:08
past
37:08
who
37:08
are
37:08
using
37:09
computer
37:09
vision
37:09
AI
37:10
to
37:10
get
37:10
the
37:10
right
37:11
data
37:11
to
37:12
attribute
37:12
to
37:12
the
37:13
products.
37:13
But
37:13
you're
37:13
saying
37:13
this
37:13
is
37:13
a
37:14
different
37:14
approach.
37:14
You're
37:14
saying
37:14
like
37:15
let's
37:15
take
37:15
the
37:15
data
37:15
that's
37:16
being
37:16
ingested
37:16
from
37:16
the
37:17
foundation,
37:18
understand
37:18
it
37:18
and
37:19
then
37:19
clean
37:19
it.
37:20
And
37:20
you
37:20
know,
37:20
whatever
37:21
you
37:21
take,
37:21
whatever
37:21
you
37:21
want
37:21
to
37:21
call
37:22
it,
37:22
reformat
37:22
it
37:23
to
37:23
then
37:23
put
37:23
it
37:24
back
37:24
out
37:24
into
37:24
the
37:25
e
37:25
commerce
37:26
sphere,
37:26
so
37:26
to
37:26
speak,
37:27
for
37:27
the
37:27
now,
37:28
but
37:28
also
37:28
for
37:28
the
37:28
future
37:29
of
37:29
AI.
37:29
So
37:30
explain
37:30
that
37:30
in
37:30
closing
37:31
to
37:31
us
37:31
too
37:32
in
37:32
terms
37:32
of
37:32
why
37:33
is
37:33
this
37:33
such
37:33
an
37:34
important
37:34
startup
37:35
to
37:35
be
37:35
aware
37:35
of
37:36
for
37:36
the
37:36
average
37:36
retail
37:36
executive,
37:37
particularly
37:37
in
37:37
terms
37:38
of
37:38
how
37:38
the
37:38
future
37:38
is.
37:39
Going
37:39
to
37:39
play
37:39
out
37:40
data
37:40
is
37:41
at
37:41
the
37:41
foundation
37:42
of
37:43
everything
37:44
or
37:45
many
37:45
different
37:46
aspects
37:47
when
37:47
it
37:47
comes
37:47
to
37:48
retail
37:48
and
37:49
E
37:49
commerce.
37:50
Whether
37:50
it's
37:51
search,
37:51
functionalities,
37:52
product
37:53
recommendations,
37:54
marketing
37:55
decisions,
37:57
merchandising,
37:59
planning,
38:00
there's
38:00
lots
38:01
of
38:01
different
38:02
aspects
38:02
that
38:03
could
38:03
leverage
38:04
from
38:05
having
38:05
good
38:05
data,
38:06
right?
38:08
So
38:08
tackling
38:09
this
38:09
issue
38:10
at
38:11
the
38:11
root
38:11
of
38:11
the
38:11
foundation
38:12
would
38:13
really
38:13
drive
38:14
these
38:14
benefits
38:15
in
38:15
many
38:16
different
38:17
areas
38:18
of
38:19
a
38:19
retailer.
38:20
And
38:22
I
38:22
think
38:23
one
38:23
thing
38:23
that
38:24
also
38:24
sets
38:25
Vodi
38:26
apart
38:26
here
38:27
is
38:27
the
38:28
way
38:28
that
38:28
they
38:28
work
38:28
with
38:29
customer
38:30
the
38:30
fact
38:30
that
38:31
as
38:31
a
38:31
customer,
38:32
you
38:32
don't
38:33
need
38:34
to
38:34
go
38:34
through
38:34
expensive
38:36
migrations
38:37
to
38:38
be
38:38
able
38:38
to
38:39
leverage
38:41
this
38:41
kind
38:42
of
38:42
system
38:42
to
38:42
be
38:42
able
38:43
to
38:43
benefit
38:43
from
38:44
what
38:44
they're
38:44
building.
38:46
Vodi
38:46
will
38:46
just
38:47
take
38:47
whatever
38:48
data
38:48
you
38:48
have
38:49
and
38:49
work
38:49
with
38:50
it.
38:52
But
38:52
also
38:52
the
38:53
fact
38:53
that
38:54
by
38:54
fine
38:55
tuning
38:55
or
38:56
constantly
38:57
fine
38:57
tuning
38:58
their
38:58
models,
38:59
they're
38:59
also
39:00
able
39:00
to
39:00
stay
39:00
on
39:01
top
39:01
of
39:01
trends,
39:02
to
39:02
stay
39:02
on
39:03
top
39:03
of
39:03
what's
39:03
happening
39:04
in
39:04
the
39:04
industry,
39:05
what's
39:05
happening
39:06
in
39:06
general
39:07
in
39:07
the
39:07
world.
39:08
And
39:08
this
39:09
gives
39:09
an
39:09
advantage
39:10
to
39:10
retailers
39:11
as
39:11
well
39:11
because
39:11
they
39:12
can
39:12
always
39:12
be
39:13
that
39:13
one
39:13
step
39:13
ahead,
39:14
one
39:14
step
39:14
ahead
39:15
of
39:15
their
39:15
customers.
39:16
Thanks
39:16
Daniele.
39:17
Thanks
39:17
Danieli.
39:19
And
39:19
congrats
39:19
to
39:20
Vaati
39:20
for
39:20
being
39:20
named
39:21
August
39:21
Retail
39:22
Tech
39:22
Startup
39:23
of
39:23
the
39:23
Month.
39:23
And
39:23
if
39:24
you
39:24
want
39:24
to
39:24
learn
39:24
more,
39:24
you
39:24
can
39:25
check
39:25
them
39:25
out@vadi
39:26
voddy.comvod
39:28
y.com
39:29
headline
39:31
number
39:31
four
39:31
Klarna
39:32
is
39:32
set
39:32
to
39:32
debut
39:33
in
39:33
more
39:33
than
39:33
400
39:34
Walmart
39:34
Canada
39:34
stores
39:35
according
39:36
to
39:36
Digital
39:36
Transactions.
39:37
You're
39:37
a
39:37
trusted
39:38
news
39:39
source
39:39
for
39:39
all
39:40
things
39:40
transactions.
39:41
Don't
39:41
you
39:41
dare
39:42
think
39:42
about
39:42
transacting
39:43
without
39:43
first
39:43
reading
39:44
digital
39:44
transactions.
39:45
According
39:45
to
39:45
Digital
39:46
Transactions,
39:46
consumers
39:47
can
39:47
choose
39:47
to
39:47
pay
39:48
in
39:48
full
39:48
or
39:48
via
39:49
installment
39:49
payments
39:50
at
39:50
assisted
39:50
checkout
39:51
lanes
39:51
for
39:51
purchases
39:51
of
39:52
more
39:52
than
39:52
$50
39:53
Canadian,
39:54
which
39:54
is
39:54
the
39:54
equivalent
39:55
of
39:55
about
39:55
one
39:55
pound
39:56
sterling,
39:56
isn't
39:56
it
39:57
Ben?
39:57
I
39:57
think
39:58
right?
39:58
Just
39:59
kidding.
39:59
All
39:59
you
39:59
Canadians,
39:59
you
40:00
know
40:00
I
40:00
love
40:00
you
40:00
to
40:01
use
40:01
card
40:01
in
40:01
one
40:01
of
40:01
the
40:02
stores,
40:02
consumers
40:02
can
40:03
scan
40:03
a
40:03
QR
40:03
code
40:04
displayed
40:04
on
40:04
the
40:04
point
40:04
of
40:05
sale
40:05
screen
40:05
at
40:05
checkout
40:06
with
40:06
their
40:06
mobile
40:06
phone.
40:07
However,
40:07
Klarta
40:07
is
40:08
not
40:08
available
40:08
at
40:08
self
40:09
checkout
40:09
lanes
40:09
at
40:09
this
40:10
time.
40:10
And
40:10
finally,
40:10
let's
40:11
not
40:11
forget,
40:11
in
40:12
another
40:12
bid
40:12
to
40:12
extend
40:13
its
40:13
reach
40:13
inside
40:13
stores
40:14
because
40:14
as
40:15
of
40:15
the
40:15
end
40:15
of
40:15
the
40:15
second
40:16
quarter,
40:16
83.7%
40:17
of
40:17
all
40:18
US
40:18
retail
40:18
sales
40:18
are
40:19
made
40:19
in
40:19
stores.
40:20
According
40:20
to
40:20
the
40:20
US
40:20
Census
40:21
Bureau.
40:21
Klarna
40:22
in
40:22
June
40:22
launched
40:23
the
40:23
Klarna
40:23
card,
40:24
a
40:24
debit
40:24
card
40:25
to
40:25
aid
40:25
with
40:25
in
40:25
store
40:26
purchases.
40:27
Ben,
40:28
as
40:28
our
40:28
resident
40:30
resident
40:31
from
40:31
across
40:31
the
40:31
pond,
40:32
I
40:32
guess
40:32
I
40:32
would
40:32
say
40:33
are
40:33
you
40:33
over
40:34
or
40:34
under
40:35
on
40:35
3
40:36
years
40:36
of
40:36
BNPL
40:37
becoming
40:37
the
40:37
ubiquitous
40:38
form
40:38
of
40:39
payments
40:39
in
40:39
stores?
40:41
Yeah,
40:42
I
40:42
can't
40:42
see
40:42
why
40:43
not.
40:43
It's
40:43
almost
40:44
ubiquitous
40:45
online.
40:47
So
40:47
I
40:47
think
40:48
this
40:48
is
40:48
the
40:48
latest
40:48
development
40:49
in
40:49
what
40:49
needs
40:50
to
40:50
happen
40:50
which
40:50
is
40:50
to
40:50
raise
40:51
awareness
40:51
that
40:51
it
40:51
can
40:52
happen
40:52
in
40:52
store.
40:53
I
40:53
mean
40:53
this
40:53
is
40:54
an
40:54
awareness
40:55
action.
40:56
So
40:56
I
40:56
mean
40:57
firstly
40:57
look,
40:57
I
40:58
think
40:58
it's
40:58
a
40:58
big
40:58
signal
40:59
that
40:59
the
40:59
Clara
41:00
Partnership
41:00
in
41:00
the
41:00
US
41:01
is
41:01
working
41:01
well
41:02
and
41:03
I
41:03
think
41:03
it's
41:03
smart
41:03
by
41:04
Walmart
41:04
because
41:04
it's
41:05
kind
41:05
of
41:05
gaining
41:06
credit
41:07
in
41:07
their
41:07
shoppers
41:07
eyes
41:08
for
41:08
helping
41:08
them
41:09
live
41:09
better
41:09
for
41:10
less
41:10
by
41:11
ultimately
41:11
helping
41:11
them
41:12
do
41:12
something
41:12
that,
41:12
that
41:13
can
41:13
kind
41:13
of
41:13
already
41:13
do.
41:14
So
41:14
it's
41:15
already
41:15
pretty
41:16
straightforward
41:16
to
41:17
use
41:17
Karna
41:18
install.
41:19
If
41:20
you've
41:20
got
41:20
the
41:20
app,
41:20
you
41:21
just
41:21
create
41:21
a
41:21
one
41:22
time
41:22
card,
41:22
you
41:23
drop
41:23
into
41:23
your
41:23
Apple
41:23
Wallet
41:24
and
41:24
you
41:24
use
41:24
the
41:24
Apple
41:25
Wallet
41:25
to
41:25
pay
41:26
for
41:26
the
41:26
product.
41:27
That's
41:28
probably
41:29
two
41:29
steps
41:30
of
41:30
CX
41:30
too
41:30
many
41:31
for
41:31
most
41:32
shoppers
41:33
but
41:33
actually
41:34
you
41:34
can
41:34
kind
41:34
of
41:34
do
41:34
it.
41:35
So
41:35
what
41:35
Walmart
41:35
is
41:36
saying
41:36
is
41:36
we're
41:36
just
41:36
going
41:36
to
41:36
make
41:36
it
41:36
really
41:37
easy
41:37
for
41:37
you
41:38
and
41:38
the
41:38
more
41:39
people
41:39
that
41:39
do
41:39
that,
41:40
the
41:40
more
41:40
awareness
41:41
it
41:41
will
41:41
become
41:41
and
41:41
the
41:41
more
41:42
it
41:42
will
41:42
spread
41:43
to
41:43
be
41:43
common
41:44
behavior
41:45
as
41:45
it
41:45
already
41:45
is
41:46
for
41:46
millions
41:47
of
41:47
shoppers
41:48
online.
41:49
So
41:49
yeah,
41:49
I
41:49
think
41:50
it's
41:50
a
41:50
smart
41:50
move
41:51
by
41:51
Amazon,
41:52
it's
41:52
a
41:52
smart
41:53
move
41:53
by
41:53
Walmart
41:55
especially
41:55
when
41:55
you
41:55
consider
41:56
the.
41:56
Younger
41:56
generations
41:57
too,
41:57
they
41:57
have
41:57
a
41:58
greater
41:58
proclivity
41:58
to
41:59
use
41:59
these
41:59
types
41:59
of
41:59
services
42:00
to
42:00
the
42:00
BNPLs.
42:01
And
42:01
what
42:01
about
42:02
you?
42:02
Are
42:02
you
42:02
equally
42:02
bullish?
42:03
Are
42:03
you
42:03
taking
42:03
the
42:04
under
42:04
as
42:04
well?
42:04
Are
42:04
you
42:04
going
42:05
over
42:05
here?
42:06
I'm
42:06
doing
42:06
the
42:07
over.
42:08
You
42:08
are?
42:08
I'm,
42:09
I'm,
42:10
I
42:10
may
42:11
be
42:11
completely
42:12
wrong.
42:12
I
42:13
get
42:13
that
42:13
there's
42:13
millions
42:14
of
42:14
people
42:14
who've
42:15
signed
42:15
up
42:15
or
42:15
who
42:16
have
42:16
used
42:16
this
42:16
a
42:17
time
42:17
or
42:17
two
42:18
but
42:18
it's
42:19
just
42:19
taking
42:19
too
42:20
long
42:20
to
42:20
reach
42:21
like
42:22
the
42:22
adoption
42:23
that
42:23
I
42:23
think
42:23
it
42:24
needs
42:24
to.
42:24
And
42:24
the
42:25
point
42:25
that
42:25
I
42:25
find
42:26
really
42:26
interesting
42:27
is
42:27
many
42:27
credit
42:28
card
42:28
companies
42:29
are
42:29
taking
42:29
on
42:30
the
42:30
same
42:30
approach
42:31
where
42:31
you
42:31
can
42:31
pay
42:31
in
42:32
installments
42:32
with
42:33
a
42:33
credit
42:33
card
42:34
that's
42:34
accepted
42:34
at
42:34
more
42:35
places.
42:36
You
42:36
don't
42:36
have
42:36
to
42:36
question
42:37
whether
42:37
or
42:37
not
42:38
most
42:39
places
42:39
that
42:39
you
42:39
do
42:40
your
42:40
shopping
42:40
today
42:41
take
42:41
visa,
42:42
American
42:42
Express,
42:43
MasterCard,
42:43
Discover,
42:44
what
42:44
have
42:44
you
42:45
or
42:45
a
42:46
debit
42:46
card.
42:46
And
42:47
I
42:47
think
42:47
that
42:47
that
42:48
to
42:48
me
42:48
is
42:49
the
42:49
real
42:49
interesting
42:50
point.
42:50
You,
42:50
you
42:51
still
42:51
can't
42:51
use
42:51
Klarna
42:52
every
42:52
single
42:53
place
42:53
that
42:53
you
42:53
shop.
42:54
And
42:54
so
42:55
for
42:55
me
42:55
I'm,
42:56
I'm
42:56
curious
42:56
to
42:57
see
42:57
if
42:57
people
42:57
start
42:58
going
42:58
the
42:58
route
42:59
of
42:59
doing
42:59
this
43:00
within
43:00
their
43:01
credit
43:01
card
43:01
companies
43:01
where
43:02
they're
43:02
still
43:02
doing
43:02
the,
43:03
you
43:03
know,
43:03
pay
43:03
in
43:04
four
43:04
installments.
43:05
But
43:05
I
43:06
just
43:06
think
43:06
it's
43:06
another
43:07
thing
43:07
for
43:07
people
43:08
to
43:08
download
43:08
another
43:09
Thing
43:09
that.
43:10
Not
43:10
people.
43:10
People
43:11
haven't
43:11
done
43:11
before
43:12
and
43:12
aren't
43:12
familiar
43:13
with.
43:13
And
43:13
I
43:13
think
43:14
credit
43:14
cards
43:14
are
43:14
just
43:15
too
43:15
ubiquitous
43:15
and
43:16
the
43:16
credit
43:16
card
43:16
companies
43:16
are
43:17
still
43:17
going
43:17
to
43:17
try
43:17
to
43:18
capture
43:18
that,
43:19
that,
43:20
that
43:20
revenue.
43:21
Well,
43:21
I
43:21
make
43:21
sure
43:22
I'm
43:22
clear.
43:22
So
43:22
you're
43:22
saying,
43:22
you're
43:23
saying
43:23
the
43:23
credit
43:23
cards
43:24
are
43:24
going
43:24
to
43:24
get
43:24
the
43:24
BNPL
43:25
customer
43:25
in
43:25
store?
43:26
Yeah,
43:27
I
43:27
do.
43:27
So
43:28
then,
43:28
so
43:28
okay,
43:29
but
43:29
the
43:29
question
43:29
was
43:29
not
43:29
if
43:29
Klarna
43:30
will
43:30
be.
43:30
The
43:31
question
43:31
was
43:31
if
43:31
BNPL
43:32
will
43:32
be
43:32
over
43:32
and
43:32
under
43:33
three
43:33
years.
43:33
So,
43:34
so
43:34
do
43:34
you.
43:34
Does
43:35
that
43:35
change
43:35
your
43:35
answer
43:36
at
43:36
all?
43:36
I'm
43:36
surprised
43:37
you
43:37
didn't
43:37
hedge,
43:37
honestly.
43:38
I'm
43:38
surprised
43:38
you
43:38
didn't
43:38
just
43:38
say,
43:39
yeah,
43:39
three
43:39
years,
43:39
because
43:40
you
43:40
always
43:40
hedge
43:40
on
43:40
this
43:41
show,
43:41
you
43:41
know,
43:41
you
43:41
always.
43:41
No,
43:42
I
43:43
don't.
43:43
Over
43:43
or
43:43
the
43:43
under.
43:44
I,
43:44
I'm
43:44
gonna,
43:44
I'm
43:45
still,
43:45
I
43:45
don't
43:45
know.
43:45
I
43:46
feel
43:46
like.
43:46
Still
43:47
over.
43:47
I
43:47
still,
43:47
I
43:47
still
43:48
don't
43:48
know.
43:49
I
43:49
still
43:49
don't
43:50
know
43:50
about.
43:51
I
43:51
don't
43:51
know.
43:52
It,
43:52
it
43:53
still
43:53
isn't
43:53
BNPL
43:54
payment
43:54
to
43:54
me
43:54
because
43:55
you're
43:55
paying
43:55
with
43:55
a
43:55
credit
43:56
card
43:56
and
43:56
then
43:56
you're
43:56
deciding
43:57
after
43:57
the
43:57
fact
43:57
that.
43:58
So
43:58
I
43:58
still
43:59
would
43:59
draw
43:59
a
43:59
distinction
44:00
there,
44:01
but
44:02
I
44:02
don't
44:03
know.
44:03
But,
44:03
but
44:03
I'm
44:04
guessing
44:04
that
44:04
I'm,
44:04
I'm
44:05
alone
44:05
in
44:05
this,
44:06
in
44:06
this
44:06
sentiment
44:07
and
44:07
that's
44:08
fine.
44:08
I
44:08
could
44:09
be
44:09
very
44:09
wrong.
44:09
But
44:10
what,
44:10
why,
44:10
what
44:10
are,
44:10
what
44:11
are
44:11
your
44:11
thoughts?
44:11
Are
44:12
you
44:12
taking
44:12
the
44:12
over,
44:12
the
44:13
under?
44:13
I
44:13
don't
44:14
know.
44:14
I
44:14
was.
44:14
You
44:14
know,
44:15
when
44:15
I,
44:15
when
44:15
I
44:15
first
44:15
started
44:16
writing
44:16
my
44:16
thoughts
44:16
on
44:17
this,
44:17
I
44:17
was
44:17
taking
44:17
the
44:17
over.
44:18
I
44:18
was,
44:18
I
44:18
was
44:18
taking
44:18
the
44:18
over
44:19
because
44:19
I
44:19
thought
44:19
like
44:19
you.
44:19
I
44:19
was
44:20
like,
44:20
this
44:20
is
44:20
taking
44:21
too
44:21
long.
44:21
But
44:22
then
44:22
I
44:22
got,
44:22
then
44:22
I
44:22
went
44:22
back
44:23
and
44:23
I
44:23
thought
44:23
about.
44:23
We
44:24
first
44:24
heard
44:24
about
44:25
bmpo.
44:25
I'll
44:25
never
44:26
forget
44:26
where
44:26
I
44:26
was.
44:27
I
44:27
was
44:27
in
44:27
LA
44:28
at
44:28
a
44:28
conference
44:29
and
44:29
I
44:29
ran
44:30
to
44:30
the
44:30
folks
44:30
from
44:30
SE
44:31
and
44:31
they
44:31
told
44:31
me
44:31
what
44:31
it
44:31
was.
44:32
I
44:32
was
44:32
like,
44:32
this
44:32
is
44:32
the
44:32
greatest
44:33
thing
44:33
I've
44:33
ever
44:34
heard
44:34
of.
44:34
And
44:34
that
44:35
was
44:35
in
44:35
2017.
44:36
So
44:37
that's
44:37
only
44:37
eight
44:37
years.
44:38
And
44:38
for
44:38
me,
44:39
the
44:39
cycles
44:39
of
44:39
innovation,
44:40
like
44:40
in
44:40
retail,
44:41
from
44:41
the
44:41
moment
44:41
I
44:41
see
44:42
them
44:42
to
44:42
like
44:43
when
44:43
they
44:43
actually
44:43
happen.
44:43
Now,
44:44
putting
44:44
all
44:44
generative
44:45
AI
44:45
aside,
44:45
because
44:46
that's
44:46
just
44:46
crazy
44:46
town
44:46
right
44:47
now,
44:47
but
44:47
it's
44:48
like
44:48
10
44:48
years.
44:49
So
44:49
like,
44:49
you
44:49
know,
44:50
three
44:50
years,
44:51
that
44:51
puts
44:51
me
44:51
in
44:52
2028.
44:53
So
44:53
that
44:53
would
44:54
be
44:54
11
44:54
years
44:54
from
44:54
when
44:55
I
44:55
first
44:55
saw
44:55
it.
44:55
So
44:55
anyway,
44:56
you
44:56
do
44:56
the
44:56
math.
44:56
I'm
44:57
taking
44:57
the
44:57
under
44:57
and
44:58
that's
44:58
what
44:58
I'm
44:58
taking.
44:58
The
44:59
one
44:59
caveat
44:59
I
45:00
have
45:00
is
45:00
I
45:00
think
45:00
there's
45:00
some
45:01
financial
45:01
dynamics
45:02
to
45:02
the
45:02
model,
45:02
too,
45:02
in
45:03
terms
45:03
of
45:03
how,
45:03
how
45:04
the
45:04
whole
45:04
thing
45:04
works
45:05
and
45:05
on
45:05
what
45:05
categories
45:06
it
45:06
works
45:06
too,
45:07
for
45:07
the
45:07
profitability
45:08
of
45:08
the
45:08
BNPL
45:09
providers
45:09
as
45:09
well.
45:10
That's
45:10
something
45:10
that
45:10
has
45:10
to
45:10
be
45:10
taken
45:11
into
45:11
account,
45:11
which
45:11
I
45:11
don't
45:11
know
45:12
that
45:12
everyone's
45:12
cracked
45:12
the
45:12
code
45:13
on
45:13
yet.
45:13
Walmart
45:13
probably
45:14
has
45:14
the
45:14
ability
45:14
to
45:14
do
45:14
that
45:14
because
45:15
it
45:15
can.
45:15
You
45:15
know,
45:15
it
45:15
has
45:16
the
45:16
entire
45:17
swath
45:17
of
45:17
general
45:17
merchandise
45:18
in
45:18
which
45:18
it
45:18
can
45:19
afford
45:19
this
45:19
differently
45:20
than
45:20
others
45:20
can,
45:20
say
45:21
grocers.
45:21
But
45:22
I'm
45:22
still,
45:22
I'm
45:23
still
45:23
taking
45:23
the
45:23
under.
45:23
Especially
45:24
now
45:24
that
45:24
you
45:24
gave
45:24
me
45:24
this
45:25
whole
45:25
thing
45:25
about
45:25
the
45:25
credit
45:26
cards
45:26
getting
45:26
into
45:26
it.
45:27
Yeah,
45:27
why
45:27
not?
45:27
I'm
45:28
taking
45:28
under.
45:28
All
45:29
right.
45:29
Riding
45:30
and
45:30
dying
45:30
with
45:30
under.
45:31
Not
45:31
surprised.
45:32
Yesterday
45:33
on
45:33
the
45:33
plane,
45:33
we
45:33
had
45:34
a
45:34
bet
45:34
because
45:34
we
45:34
flew
45:34
for,
45:35
for
45:35
those
45:35
listening,
45:35
we
45:36
flew
45:36
from
45:36
la.
45:37
No,
45:37
we
45:37
flew
45:38
from
45:38
San
45:38
Diego
45:38
to
45:38
la.
45:39
Shortest
45:39
flight
45:39
I've
45:39
ever
45:39
taken.
45:40
The
45:40
guy
45:40
next
45:41
to
45:41
me,
45:41
we
45:41
had
45:41
a
45:41
bet
45:41
on
45:41
how
45:42
long
45:42
it
45:42
would
45:42
be
45:42
from
45:43
wheels
45:43
up
45:43
to
45:44
touchdown.
45:45
24
45:45
minutes.
45:46
That's
45:46
how
45:46
long
45:46
it
45:46
was.
45:47
24
45:47
minutes.
45:47
I
45:47
took
45:48
the
45:48
under.
45:48
He
45:48
took
45:48
the
45:48
over.
45:49
I
45:49
lost
45:49
that
45:49
one,
45:49
too,
45:49
so.
45:50
Oh,
45:50
my
45:50
gosh.
45:51
All
45:51
right,
45:51
well,
45:51
let's
45:52
wrap
45:52
this
45:53
show
45:53
up
45:53
with
45:53
headline
45:54
number
45:54
five.
45:54
Fabletics
45:55
is
45:56
going
45:56
all
45:56
in
45:57
on
45:57
rfid.
45:57
According
45:58
to
45:58
our
45:58
friends
45:58
over
45:58
at
45:59
Retail
45:59
Touchpoints,
46:00
Fabletics
46:00
has
46:01
launched
46:01
the
46:01
G
46:01
Store
46:02
software
46:03
as
46:03
a
46:03
service
46:03
retail
46:04
solution
46:04
from
46:05
Gray
46:05
orange
46:06
in
46:06
over
46:07
100
46:08
stores.
46:08
The
46:09
G
46:09
Store
46:09
app
46:10
store
46:10
integrated
46:10
analytics
46:11
powered
46:11
by
46:11
overhead
46:12
and
46:12
handheld
46:12
RFID
46:13
readers
46:13
can
46:14
identify
46:14
items
46:14
abandoned
46:15
in
46:15
dressing
46:15
rooms,
46:16
placed
46:16
in
46:16
the
46:16
wrong
46:17
section,
46:17
or
46:18
simply
46:18
running
46:19
low
46:19
on
46:19
the
46:19
sales
46:19
floor.
46:20
In
46:20
the
46:20
stores
46:20
where
46:21
the
46:21
solution
46:21
has
46:21
been
46:21
deployed,
46:22
Fabletics
46:23
has
46:23
achieved
46:23
95
46:24
to
46:24
97%
46:25
fill
46:25
rates,
46:26
completely
46:27
eliminated
46:27
manual
46:28
cycle
46:28
counts,
46:28
and
46:29
boosted
46:29
per
46:29
location
46:30
sales
46:30
by
46:30
up
46:31
to
46:31
20%.
46:32
Fabletics
46:33
is
46:33
adding
46:33
the
46:33
solution
46:33
to
46:34
20
46:34
locations
46:35
per
46:35
month.
46:35
And
46:36
in
46:36
the
46:36
next
46:36
phase,
46:36
Gray
46:37
Orange
46:37
will
46:37
work
46:37
with
46:38
the
46:38
retailer
46:38
to
46:38
enable
46:39
more
46:39
efficient
46:40
store
46:40
to
46:40
store
46:40
transfers
46:41
through
46:41
G
46:41
Store,
46:42
helping
46:42
ensure
46:43
each
46:43
item
46:44
is
46:44
positioned
46:44
in
46:44
the
46:44
location
46:45
where
46:45
it's
46:46
most
46:46
likely
46:46
to
46:46
sell.
46:47
All
46:48
right,
46:48
we
46:48
here
46:49
at
46:49
Omnitok
46:49
have
46:49
long
46:50
espoused
46:50
RFID
46:51
on
46:51
this
46:51
show.
46:52
Are
46:52
there
46:52
any
46:53
counterpoints,
46:54
Mr.
46:54
Ben
46:55
Miller,
46:55
as
46:56
to
46:56
why
46:56
retailers,
46:57
especially
46:57
apparel
46:58
retailers,
46:59
should
46:59
not
47:00
be
47:00
invested
47:01
in
47:01
rfid?
47:03
Great
47:03
question,
47:04
and
47:04
it's,
47:05
I'm
47:06
really
47:06
pleased
47:06
to
47:06
say,
47:06
for
47:07
everyone
47:07
who's
47:07
going
47:07
to
47:07
be
47:07
in
47:07
Chicago
47:08
in
47:08
a
47:08
couple
47:08
of
47:09
weeks,
47:09
Mira
47:10
Bhatia,
47:10
who's
47:11
president
47:11
and
47:11
chief
47:12
operating
47:12
officer
47:13
of
47:13
Fabletics,
47:14
is
47:14
going
47:14
to
47:15
be
47:15
there
47:15
and
47:15
is
47:15
going
47:16
to
47:16
be
47:16
on
47:16
a
47:16
conversation
47:17
which
47:17
is
47:17
all
47:18
about
47:19
what
47:19
can
47:20
the
47:20
C
47:20
Suite
47:20
learn
47:21
from
47:21
Frontline
47:22
from
47:22
the
47:22
retail
47:22
stores.
47:24
And
47:24
this
47:25
gets
47:25
to
47:25
the
47:25
heart
47:25
of
47:26
that
47:26
because,
47:27
yes,
47:27
on
47:27
paper,
47:29
what
47:29
you
47:29
can
47:29
do
47:29
with
47:29
rfid,
47:30
particularly
47:30
in
47:30
apparel,
47:31
is
47:32
fantastic.
47:35
What
47:35
are
47:35
the
47:35
challenges?
47:37
I
47:37
mean,
47:37
the
47:37
first
47:37
challenge,
47:38
number
47:38
one,
47:38
was
47:38
unit
47:39
cost
47:39
of
47:39
the
47:39
tags,
47:40
and
47:40
that's
47:40
been
47:40
coming
47:40
down
47:41
in
47:41
the
47:41
business
47:41
case.
47:42
So
47:42
I
47:42
think
47:42
that's
47:43
less
47:43
of
47:43
a
47:43
hurdle
47:44
than
47:44
it
47:44
has
47:44
been.
47:45
But
47:45
the
47:45
second
47:46
one
47:46
is
47:46
there's
47:46
absolutely
47:47
no
47:47
point
47:47
in
47:48
doing
47:48
this
47:48
if
47:48
you
47:48
don't
47:48
have
47:48
the
47:49
ability
47:49
to
47:49
process
47:51
the
47:51
information,
47:52
to
47:52
take
47:53
all
47:53
of
47:53
these
47:53
data
47:53
points
47:54
and
47:54
turn
47:54
it
47:54
into
47:55
something
47:55
that
47:55
is
47:55
actionable.
47:56
And
47:57
then
47:57
thirdly,
47:57
you've
47:58
got
47:58
to
47:58
make
47:58
sure
47:58
that
47:58
your
47:59
install
47:59
staff
48:00
have
48:00
the
48:01
tools,
48:01
the
48:01
colleagues
48:02
have
48:02
the
48:02
ability
48:02
to
48:03
be
48:03
able
48:03
to
48:03
see
48:04
the
48:04
data
48:04
and
48:04
to
48:05
be
48:05
able
48:05
to
48:05
take
48:05
action
48:06
from
48:06
it.
48:06
So
48:07
it's
48:07
no
48:07
point
48:07
having
48:08
RFID
48:08
saying
48:09
that
48:09
this
48:09
item
48:10
is
48:10
over
48:10
here
48:11
if
48:12
your
48:13
team
48:13
in
48:13
store
48:14
don't
48:14
have
48:14
the
48:15
handheld
48:16
devices
48:16
or
48:16
the
48:16
apps
48:17
that
48:17
they
48:17
need
48:18
to
48:18
be
48:18
able
48:18
to
48:19
see
48:19
that
48:19
spot
48:19
the
48:20
problem
48:20
and
48:21
takes
48:21
action
48:21
on
48:22
it.
48:23
For
48:23
me,
48:24
making
48:24
RFID
48:25
happen,
48:25
and
48:26
this
48:26
has
48:26
been
48:26
one
48:26
of
48:26
the
48:27
challenges
48:27
about
48:27
scaling
48:28
it,
48:28
is
48:28
how
48:29
do
48:29
you
48:29
also
48:29
scale
48:30
the
48:30
technology
48:31
and
48:31
the
48:31
capabilities
48:32
to
48:32
make,
48:32
to
48:32
help
48:33
your
48:33
store
48:33
associates
48:34
run
48:34
their
48:34
stores
48:34
better?
48:35
Where
48:35
we've
48:36
seen
48:36
retailers
48:36
who've
48:36
been
48:36
able
48:37
to
48:37
crack
48:37
that,
48:38
and
48:38
we
48:38
talked
48:38
about
48:39
Walmart
48:39
earlier,
48:39
there
48:40
is
48:40
no,
48:41
it's
48:41
not
48:41
a
48:42
coincidence
48:42
that
48:42
they're
48:43
rolling
48:43
out
48:43
their
48:43
My
48:43
Walmart
48:44
app
48:44
to
48:44
their
48:44
team
48:44
at
48:45
the
48:45
same
48:45
time
48:45
they're
48:45
running
48:45
out
48:46
their
48:47
RFID
48:48
technology
48:49
where
48:49
you've
48:49
got
48:50
the
48:50
two
48:50
working
48:50
together,
48:51
yet
48:51
you
48:51
can
48:51
unlock
48:52
the
48:52
benefits.
48:52
And
48:52
I
48:53
think
48:53
that's
48:53
the
48:53
conversation
48:53
we
48:53
want
48:53
to
48:54
have
48:54
with
48:54
Mira,
48:54
is
48:55
how
48:55
do
48:55
you
48:55
take
48:55
this
48:56
investment
48:56
and
48:57
make
48:57
sure
48:57
that
48:57
the
48:57
in
48:57
store
48:58
team
48:58
can
48:58
make
48:58
it
48:58
work?
48:58
That's
48:59
the.
48:59
Watch
48:59
out.
49:00
Well,
49:01
I,
49:01
I
49:02
was
49:02
just
49:02
out
49:02
at
49:02
the
49:02
Fabletics
49:03
flagship
49:04
store
49:04
two
49:04
days
49:04
ago,
49:05
so
49:05
I
49:05
got
49:05
to
49:05
see
49:05
this
49:06
live.
49:07
And
49:08
I
49:08
think
49:08
you're
49:08
absolutely
49:09
right,
49:09
Ben.
49:09
It
49:09
is,
49:10
it
49:10
is
49:11
critical
49:11
that
49:11
you
49:11
have
49:12
all
49:12
of
49:12
the
49:12
tools
49:13
to
49:13
make
49:13
this
49:13
successful.
49:14
And
49:14
I
49:14
think
49:14
that's
49:15
what
49:15
the
49:15
G
49:15
Store
49:15
platform
49:16
is
49:16
enabling
49:17
here.
49:17
They
49:18
have
49:18
the
49:18
handheld
49:18
devices,
49:19
they
49:19
have
49:19
the
49:20
overhead
49:20
arrays
49:21
that
49:21
are
49:21
doing
49:21
all
49:22
the
49:22
inventory
49:22
counts.
49:23
And
49:23
the
49:23
stat
49:23
that
49:24
I
49:24
will
49:24
leave
49:24
people
49:24
with.
49:25
And
49:25
there's
49:25
more
49:26
to
49:26
come.
49:26
We've
49:26
got
49:26
a
49:26
video
49:27
on
49:27
the
49:27
way.
49:27
But
49:28
the
49:28
stat
49:29
that
49:29
I'll
49:29
leave
49:29
you
49:29
with
49:29
is
49:30
18
49:30
minutes.
49:31
So
49:31
when
49:31
you're
49:31
talking
49:32
about
49:32
ROI,
49:33
18
49:34
minutes
49:34
is
49:35
all
49:35
it
49:35
took.
49:36
The
49:36
store
49:36
associate,
49:37
Neela,
49:38
the
49:38
store
49:38
manager,
49:39
to
49:39
do
49:39
an
49:40
entire
49:40
store's
49:41
worth
49:41
of
49:41
inventory
49:42
in
49:42
18
49:43
minutes.
49:43
Back
49:43
of
49:44
house,
49:44
front
49:44
of
49:44
house.
49:45
She
49:45
knew
49:45
exactly
49:46
how
49:46
many
49:46
Units
49:47
were
49:47
in
49:47
the,
49:47
in
49:48
the
49:48
store
49:48
at
49:48
that
49:48
time.
49:49
What
49:50
units?
49:50
Maybe,
49:51
you
49:51
know,
49:51
one
49:51
tool
49:52
versus
49:52
another
49:53
tool
49:53
didn't
49:53
connect.
49:54
So
49:54
with
49:54
that
49:55
platform,
49:55
she's
49:55
able
49:56
to
49:56
get
49:56
that
49:56
done.
49:57
And
49:57
the
49:57
cost
49:58
savings
49:58
there,
49:58
it
49:59
would
49:59
have
49:59
taken
50:00
multiple
50:00
associates.
50:01
It
50:01
would
50:02
have
50:02
taken
50:02
contractors
50:03
in,
50:04
they'd
50:04
have
50:04
to
50:04
pay
50:05
for,
50:05
in
50:05
addition
50:05
to
50:06
that
50:06
to
50:06
make
50:07
that
50:07
inventory
50:08
happen.
50:09
And
50:09
it
50:09
would
50:09
have
50:09
only
50:10
been
50:10
done
50:10
twice
50:10
a
50:10
year.
50:11
So
50:11
I
50:11
think
50:11
it's
50:11
really
50:11
important
50:12
also
50:12
to
50:12
be
50:13
thinking
50:13
about,
50:14
yes,
50:14
there's
50:14
the
50:15
upfront
50:15
investment
50:15
for
50:16
a
50:16
platform
50:16
like
50:16
G
50:17
Store
50:17
for
50:18
RFID
50:18
labels,
50:19
but
50:20
where
50:20
are
50:20
you
50:20
going
50:20
to
50:21
get
50:21
cost
50:21
savings
50:22
from
50:22
the
50:22
rest
50:22
of
50:22
the
50:22
organization
50:23
to
50:23
help
50:24
make
50:24
up
50:24
for
50:24
that?
50:25
And
50:25
then
50:25
the
50:25
last
50:26
point
50:26
I'd
50:26
say
50:26
is
50:27
you
50:28
have
50:28
to
50:28
make
50:28
sure
50:28
that
50:28
you're
50:29
continuously
50:29
evaluating
50:30
this
50:30
technology.
50:31
I
50:31
think
50:31
there's
50:31
still
50:32
a
50:32
lot
50:32
of
50:32
people
50:32
and
50:33
I'm
50:33
excited
50:33
that
50:33
you'll
50:33
be
50:34
talking
50:34
about
50:34
this
50:34
at
50:34
Shop
50:34
Talk
50:35
fall.
50:35
Ben.
50:35
There's
50:36
still
50:36
a
50:36
lot
50:36
of
50:36
people
50:36
who
50:37
looked
50:37
at
50:37
RFID
50:37
tags
50:38
several
50:38
years
50:39
ago
50:39
and
50:39
are
50:40
saying
50:40
it's
50:40
too
50:40
expensive,
50:41
can't
50:42
see
50:42
the
50:42
quick
50:42
roi.
50:43
And
50:44
that
50:44
has
50:44
to
50:44
change.
50:45
You
50:45
have
50:45
to
50:45
start
50:45
looking
50:46
at
50:46
it
50:46
and
50:46
start
50:46
to
50:46
looking
50:46
at,
50:47
look
50:47
at
50:47
the
50:48
advantages
50:48
beyond
50:49
just
50:49
inventory
50:50
visibility
50:50
that
50:51
this
50:51
kind
50:51
of
50:52
platform
50:52
is
50:52
affording
50:53
you.
50:53
But
50:53
Chris,
50:54
I'll
50:54
give
50:54
you
50:54
the
50:54
last
50:54
word
50:55
here.
50:56
What
50:56
do
50:56
you
50:56
think?
50:56
Is
50:57
there
50:57
any
50:57
reason
50:57
why
50:58
retailers,
50:59
especially
50:59
apparel
50:59
retailers,
51:00
should
51:00
not
51:01
be
51:01
moving
51:01
forward
51:01
with
51:01
rfid?
51:03
Nope.
51:04
Not
51:04
one.
51:05
Not
51:05
one.
51:05
Honestly,
51:06
apparel
51:06
retailers
51:07
especially
51:07
because,
51:08
because,
51:09
you
51:09
know,
51:09
the
51:09
way
51:09
I
51:09
think
51:10
about
51:10
this
51:10
is
51:10
this
51:10
is
51:10
the
51:11
equivalent
51:11
to
51:11
what
51:12
you're
51:12
trying
51:12
to
51:12
do
51:12
with
51:12
robotics
51:13
in
51:13
grocery
51:14
stores,
51:14
you
51:14
know,
51:15
because
51:15
computer
51:16
vision
51:16
in
51:16
apparel
51:17
is
51:17
still
51:17
tricky.
51:18
And
51:18
so
51:18
that's
51:18
why
51:19
the
51:19
robots
51:19
are
51:19
now
51:20
learning
51:20
how
51:20
to
51:20
read
51:20
RFID
51:21
in
51:21
these
51:21
environments,
51:22
too,
51:22
to
51:22
make
51:22
it
51:22
even
51:23
simpler
51:23
for
51:23
them.
51:23
But
51:24
it's
51:24
the
51:24
whole
51:24
idea
51:24
of
51:25
getting
51:25
the
51:25
smart
51:25
store
51:26
and
51:26
the
51:26
data.
51:26
And
51:26
so
51:26
the
51:26
analogy
51:27
I
51:27
would
51:27
use
51:27
is,
51:28
and
51:28
I
51:28
wrote
51:28
about
51:28
it,
51:29
actually
51:29
I
51:29
dropped
51:29
the
51:29
article
51:30
this
51:30
morning.
51:31
Is
51:31
the
51:31
is
51:32
Apple
51:32
and
51:32
gps.
51:33
When
51:33
it
51:33
rolled
51:33
out
51:33
gps.
51:33
As
51:34
soon
51:34
as
51:34
Apple
51:34
released
51:35
geopositioning
51:36
data
51:36
into
51:37
its
51:37
ecosystem,
51:38
the
51:38
world
51:38
changed
51:39
and
51:39
we've
51:39
never
51:39
looked
51:40
back.
51:40
And
51:40
the
51:40
same
51:40
thing's
51:41
about
51:41
to
51:41
happen
51:41
with
51:41
rfid,
51:42
particularly
51:43
in
51:43
apparel.
51:44
And
51:44
the
51:44
reason
51:44
that's
51:44
important
51:44
is
51:45
what
51:46
you
51:46
guys
51:46
have
51:46
highlighted,
51:46
what
51:46
I
51:47
called
51:47
an
51:47
article,
51:47
the
51:47
service
51:48
margin
51:48
paradox.
51:49
You
51:49
know,
51:50
if
51:50
you
51:50
want
51:50
to
51:50
have
51:50
great
51:50
service,
51:51
you
51:51
better
51:51
have
51:51
great
51:51
margins
51:52
on
51:52
your
51:52
products.
51:52
And
51:52
the
51:52
lower
51:53
your
51:53
services
51:53
are,
51:53
the,
51:54
you
51:54
know,
51:54
the
51:54
less,
51:55
you
51:55
know
51:55
margin
51:55
you
51:55
probably
51:56
are
51:56
commanding
51:56
for
51:56
it.
51:57
But
51:57
at
51:57
the
51:57
end
51:57
of
51:58
the
51:58
day,
51:58
the
51:58
cost
51:58
of
51:58
labor
51:59
is
51:59
going
51:59
up
51:59
so
51:59
it's
51:59
eating
52:00
into
52:00
the
52:00
margin
52:01
of
52:01
whatever
52:01
customer
52:02
service
52:02
level
52:02
you
52:02
have.
52:03
So
52:03
you've
52:04
got
52:04
to
52:04
find
52:04
ways
52:05
as
52:05
retailers
52:06
to
52:06
work
52:06
that
52:06
out.
52:07
And
52:07
this
52:07
type
52:08
of
52:08
technology
52:08
affords
52:09
you
52:09
the
52:09
ability
52:09
to
52:09
do
52:09
that
52:09
because
52:10
it
52:10
gives
52:10
you
52:10
the
52:10
better
52:10
inventory
52:11
visibility,
52:11
like
52:11
you
52:11
said,
52:11
Ann.
52:12
But
52:12
it
52:12
also
52:13
just
52:13
tells
52:13
you
52:13
so
52:14
many
52:14
other
52:14
data
52:15
points,
52:15
like
52:15
what
52:16
we've
52:16
also
52:16
started
52:17
to
52:17
understand
52:17
through
52:18
robotics,
52:18
through
52:18
grocery
52:19
stores
52:19
as
52:19
well.
52:19
So
52:20
all
52:20
those
52:20
analogous
52:20
use
52:21
cases
52:21
are
52:21
all
52:21
there.
52:21
That's
52:22
why
52:22
I
52:22
think
52:23
rfid,
52:25
it's
52:25
coming
52:25
and
52:26
I
52:26
think
52:26
it's
52:27
time
52:27
to
52:27
jump
52:27
on
52:27
board,
52:27
everybody.
52:29
All
52:30
right,
52:30
let's
52:30
move
52:31
into
52:31
the
52:32
lightning
52:32
round.
52:33
Ben,
52:34
these
52:34
questions
52:35
are
52:35
all
52:35
for
52:35
you,
52:36
so
52:36
get
52:36
ready.
52:37
Ben,
52:38
you're
52:38
one
52:38
of
52:38
the
52:38
lucky
52:39
few
52:39
who
52:39
got
52:39
to
52:39
see
52:39
Oasis
52:40
in
52:40
their
52:40
recent
52:41
reunion
52:41
tour.
52:42
On
52:42
a
52:42
scale
52:42
of
52:42
1
52:43
to
52:43
10,
52:43
how
52:43
well
52:44
did
52:44
Noel,
52:45
Liam
52:45
and
52:45
crew
52:46
perform?
52:47
Oh,
52:47
this
52:48
was
52:48
a
52:48
straight
52:48
10.
52:48
This
52:49
was
52:49
a
52:49
straight
52:50
US
52:51
great
52:51
10.
52:52
It's
52:53
like
52:53
I'm.
52:54
I
52:54
grew
52:54
up
52:54
in
52:55
the
52:55
north
52:55
of
52:55
England
52:55
in
52:56
the
52:56
90s.
52:57
Songs
52:57
of
52:57
Oasis
52:58
is
52:58
basically
52:58
folk
52:58
music
52:59
for
52:59
me
53:00
and
53:00
my
53:00
generation
53:01
and.
53:02
And,
53:02
you
53:02
know,
53:03
I've
53:03
been
53:03
to
53:03
Oasis
53:04
gigs
53:04
when
53:04
they've
53:05
been
53:05
brilliant,
53:05
I've
53:05
been
53:06
when
53:06
they've
53:06
been
53:06
terrible,
53:07
I've
53:07
been
53:07
when
53:07
the
53:08
crowd
53:08
have
53:08
been
53:08
in
53:08
raptures,
53:09
I've
53:09
been
53:09
when
53:09
the
53:09
crowd
53:09
just
53:10
want
53:10
to
53:10
fight
53:10
each
53:10
other.
53:11
It's
53:11
been
53:11
a
53:12
dip
53:12
and
53:12
there
53:12
was
53:13
no
53:13
way
53:13
I
53:13
was
53:13
not
53:13
going
53:14
be
53:14
part
53:14
of
53:14
the
53:14
lucky
53:15
dip.
53:15
And
53:15
what
53:15
came
53:16
out,
53:16
the
53:16
lucky
53:16
day
53:16
at
53:17
this
53:17
time,
53:17
was
53:18
a
53:18
brilliant
53:18
performance,
53:19
a
53:19
brilliant
53:20
show.
53:20
Professionalism
53:21
that
53:21
we
53:21
didn't
53:21
think
53:21
the
53:22
band
53:22
had
53:22
and
53:22
just,
53:23
wow,
53:24
we
53:24
didn't.
53:24
I
53:25
didn't
53:25
know
53:25
that
53:26
what
53:26
2025
53:27
needed
53:27
was
53:27
Oasis.
53:29
That
53:29
it
53:29
was,
53:30
and
53:30
it
53:30
was
53:30
brilliant.
53:31
Absolutely
53:31
fantastic.
53:32
I'm
53:32
sure
53:32
you've
53:32
got
53:32
listeners
53:33
that
53:33
are
53:33
about
53:33
to
53:33
go
53:34
to
53:34
the
53:34
US
53:34
dates.
53:35
I
53:35
mean,
53:35
enjoy,
53:36
because
53:36
it's
53:36
fantastic.
53:37
Were
53:38
they
53:38
wearing
53:38
bucket
53:38
hats,
53:39
though?
53:39
That's
53:39
what
53:39
I
53:39
want
53:40
to
53:40
know.
53:41
Of
53:41
course
53:41
Liam
53:41
was
53:42
wearing
53:42
his
53:42
bucket.
53:43
All
53:43
right.
53:43
Ben
53:44
stayed
53:44
across
53:44
the
53:45
pod.
53:45
Arsenal.
53:46
15
53:46
year
53:46
old
53:46
phenom
53:47
Max
53:47
Dohmen
53:48
made
53:48
his
53:48
debut
53:49
last
53:49
week.
53:49
How
53:50
would
53:50
you
53:50
sum
53:50
up
53:50
England's
53:51
hopes
53:51
for
53:51
the
53:52
young
53:52
lad?
53:53
Oh,
53:54
wow.
53:54
This,
53:54
this,
53:55
this
53:55
is
53:55
beautifully
53:56
neat.
53:56
So
53:56
this
53:57
is.
53:57
This
53:57
is
53:57
soccer.
53:58
Look.
54:00
She.
54:00
It's
54:01
really
54:01
exciting
54:02
and
54:02
it
54:02
was
54:02
an
54:02
incredible
54:03
debut.
54:03
This
54:03
is
54:04
a
54:04
15
54:04
year
54:04
old
54:04
playing
54:04
at
54:05
the
54:05
very
54:05
highest
54:05
level.
54:07
Look,
54:07
soccer
54:08
in
54:08
the
54:08
UK
54:08
is
54:08
incredibly
54:09
tribal,
54:10
so
54:10
I'm
54:10
going
54:10
to
54:10
resist
54:10
getting
54:11
sucked
54:11
into
54:11
that.
54:12
It's
54:12
just.
54:13
Should
54:13
I
54:13
just
54:13
say
54:13
I've
54:14
got.
54:14
I'm
54:15
quite
54:15
familiar
54:15
with
54:16
the
54:16
Emirates
54:16
Stadium
54:17
and
54:17
the
54:17
setup
54:18
at
54:18
Arsenal
54:21
and
54:21
Look,
54:22
the
54:22
key
54:22
for
54:23
me,
54:23
for,
54:23
for
54:24
Max
54:25
is
54:25
protection
54:26
and
54:26
safeguarding
54:27
because
54:27
he's
54:27
just
54:28
a
54:28
kid
54:29
and
54:29
I
54:30
think
54:30
in
54:30
Arsenal
54:30
he'll
54:31
get
54:31
the
54:31
support
54:31
he
54:32
needs.
54:34
They're
54:34
a
54:35
great
54:35
club
54:35
from
54:35
that
54:36
perspective.
54:37
Hopefully
54:38
he'll
54:38
get
54:38
the
54:38
patience
54:39
of
54:39
the
54:39
crowd
54:40
and
54:41
I
54:41
mean
54:41
he's
54:42
literally
54:42
the
54:42
world's
54:42
at
54:42
his
54:43
feet.
54:43
But.
54:44
So,
54:44
yeah,
54:44
it's
54:45
very,
54:45
very
54:45
exciting.
54:46
But
54:47
we
54:47
just
54:47
hope
54:47
he's
54:47
just
54:47
got
54:48
to
54:48
be
54:48
a
54:48
bit
54:48
patience
54:49
and
54:49
hope
54:49
he
54:50
gets
54:50
all
54:50
that
54:50
support.
54:51
Ben,
54:51
follow
54:51
up
54:52
question.
54:52
Is
54:52
the
54:52
fur
54:52
over
54:53
him
54:53
in
54:53
England
54:53
more
54:54
Wayne
54:54
Rooney
54:54
or
54:55
David
54:55
Beckham
54:56
or
54:56
somewhere
54:56
in
54:56
the
54:56
middle
54:57
as
54:57
a
54:57
footballer?
54:57
Yeah,
54:58
he's
54:58
so
54:58
he's
54:58
in,
54:58
he's
54:59
an
54:59
attacking
54:59
winger,
55:00
which
55:00
is
55:00
where
55:01
Beckham
55:01
played.
55:03
I
55:03
mean,
55:03
I
55:04
think
55:04
the,
55:04
the
55:05
parallel.
55:05
What,
55:05
what,
55:06
what
55:06
English
55:06
would
55:07
love
55:07
is
55:07
if
55:07
he's
55:07
similar
55:08
to
55:08
what
55:09
Uraniumal
55:09
is
55:10
able
55:10
to
55:10
do
55:10
at
55:10
Barcelona,
55:11
an
55:12
attack
55:12
with
55:12
just
55:13
freedom
55:13
and
55:13
flair
55:14
and
55:14
no
55:14
fear.
55:16
That's
55:16
the
55:17
hope.
55:17
But
55:17
that's
55:18
a
55:18
pretty
55:18
lofty
55:19
aspiration.
55:20
So
55:20
we're
55:20
great
55:21
at
55:21
building
55:21
people
55:21
up
55:22
and
55:22
then
55:22
knocking
55:22
them
55:22
down,
55:22
so
55:23
I
55:23
don't
55:23
get
55:23
too
55:23
carried
55:24
away.
55:24
But
55:24
yeah,
55:25
if
55:25
you're
55:25
15
55:26
year
55:26
old
55:26
and
55:26
you
55:26
come
55:26
in
55:27
for
55:27
the
55:27
Champions
55:27
Elect,
55:28
that's
55:28
pretty,
55:28
pretty
55:29
big
55:29
move.
55:30
Yeah.
55:31
Okay,
55:32
well,
55:32
I'm
55:32
going
55:32
to
55:32
shift
55:32
gears
55:33
away
55:33
from
55:34
footballers
55:34
and
55:35
back
55:36
to
55:36
grocery
55:37
shop.
55:37
Ben,
55:38
I
55:39
mistakenly
55:39
shared
55:40
my
55:40
Grocery
55:40
Shop
55:41
and
55:41
Shop
55:41
Talk
55:42
Starbucks
55:42
hack
55:43
with
55:43
too
55:43
many
55:43
people
55:44
before
55:44
Shop
55:45
Talk
55:45
on
55:45
this
55:45
podcast.
55:46
So
55:47
I
55:47
want
55:47
to
55:47
know
55:47
what
55:48
your
55:48
one
55:48
Vegas
55:49
hack
55:49
is
55:49
that
55:49
everybody
55:50
should
55:50
know,
55:50
especially
55:51
for
55:51
those
55:51
who
55:52
are
55:52
flying
55:52
across
55:53
the
55:53
pond
55:53
to
55:53
get
55:54
to
55:54
Vegas.
55:55
Okay,
55:55
so
55:55
my,
55:56
my
55:56
hack
55:58
for
55:58
everybody.
55:59
It's
55:59
really
55:59
important
56:00
to
56:00
try
56:00
and
56:00
get
56:00
some
56:00
fresh
56:00
air,
56:01
particularly
56:01
if
56:02
you
56:02
jet
56:02
lagged.
56:02
Even
56:02
if
56:03
you
56:03
just
56:03
come
56:03
from
56:03
the
56:03
east
56:03
coast,
56:04
you
56:04
need
56:04
to
56:04
see
56:05
some
56:05
outside,
56:05
you
56:05
need
56:05
to
56:05
see
56:06
some
56:06
sunshine,
56:06
you
56:06
need
56:06
to
56:06
see
56:07
some
56:07
fresh
56:07
air.
56:08
So
56:10
everybody
56:10
who's
56:10
been
56:10
to
56:10
the
56:11
show
56:11
before
56:11
will
56:11
be
56:11
familiar
56:12
with
56:12
the
56:12
walk.
56:13
The
56:13
long
56:13
corridor
56:14
pass,
56:15
Border
56:15
Grill,
56:15
that
56:16
takes
56:16
you
56:16
down
56:16
from
56:17
the
56:17
casino
56:18
floor
56:18
and
56:18
from
56:18
the
56:18
hotel
56:19
that
56:19
takes
56:19
you
56:19
down
56:20
to
56:20
the
56:20
convention
56:20
center.
56:22
You
56:22
can
56:23
bypass
56:24
all
56:24
of
56:24
that
56:25
by
56:26
taking
56:26
a
56:26
route
56:27
that
56:27
goes
56:27
outside.
56:28
So
56:28
if
56:28
you
56:28
come
56:29
down
56:29
the
56:29
elevator
56:30
out
56:30
of
56:30
your
56:31
room,
56:31
don't
56:31
get
56:31
off
56:32
the
56:32
casino
56:32
floor,
56:33
go
56:33
one
56:33
floor
56:34
below,
56:34
which
56:34
is
56:34
the
56:34
pool
56:35
entrance.
56:35
Just
56:36
walk
56:36
out
56:36
by
56:36
the
56:36
pool
56:37
and
56:37
there
56:37
is
56:37
a
56:37
footpath,
56:38
really
56:38
wide,
56:39
beautiful
56:39
path
56:39
that
56:39
takes
56:40
you
56:40
round.
56:40
It
56:41
follows
56:41
the
56:41
same
56:42
route
56:42
but
56:42
just
56:42
on
56:42
the
56:42
outside.
56:43
Do
56:43
it
56:43
in
56:43
the
56:43
morning,
56:44
it's
56:44
not
56:44
too
56:45
hot,
56:45
you
56:45
get
56:46
blue
56:46
sky,
56:46
you
56:47
get
56:47
a
56:47
bit
56:47
of
56:47
fresh
56:47
air.
56:48
Then
56:48
there's
56:48
a
56:49
flight
56:49
of
56:49
stairs
56:49
that
56:50
takes
56:50
you
56:50
in,
56:50
it
56:50
brings
56:50
you
56:50
into
56:50
the
56:51
convention
56:51
center
56:51
next
56:52
to
56:52
where
56:52
the
56:52
little
56:52
starburst
56:53
concession
56:53
is
56:53
and
56:54
you
56:54
just
56:54
go
56:54
in
56:54
there.
56:55
We're
56:55
going
56:55
to
56:55
be
56:55
all
56:56
on
56:56
that
56:56
floor
56:57
of
56:57
a
56:57
grocery
56:57
shop
56:57
this
56:58
year,
56:58
not
56:58
upstairs.
56:59
We're
56:59
on
56:59
the
56:59
floor
57:00
when
57:00
you
57:00
come
57:00
in,
57:00
the
57:00
same
57:00
as
57:01
we
57:01
offer
57:02
for
57:03
shop
57:03
talk.
57:03
So.
57:04
And
57:04
you
57:04
can
57:04
do
57:04
the
57:04
same
57:04
in
57:05
reverse.
57:05
Just
57:05
go
57:05
out
57:05
by
57:06
the
57:06
Starbucks,
57:06
follow
57:07
it
57:07
around,
57:07
get
57:07
your
57:07
fresh
57:08
air,
57:08
get
57:08
your
57:08
blue
57:09
sky,
57:09
feel
57:09
the
57:10
Vegas
57:10
sun
57:11
rather
57:11
than
57:11
just
57:12
being
57:12
in
57:12
the
57:12
convention
57:12
center
57:13
and
57:13
the
57:13
casino
57:13
all
57:13
day.
57:15
I
57:15
love
57:15
it.
57:16
And
57:16
Anne
57:16
still
57:16
has
57:16
to
57:16
go
57:16
to
57:17
Starbucks
57:17
too,
57:17
before
57:17
that,
57:18
right?
57:18
Whatever
57:18
path
57:19
she
57:19
takes,
57:19
she
57:19
still
57:19
has
57:19
to
57:20
go
57:20
to
57:20
Starbucks,
57:20
right?
57:20
Yeah,
57:21
obviously.
57:22
So,
57:22
so
57:23
our
57:23
last
57:23
question
57:23
for
57:23
you
57:24
is
57:24
Starbucks
57:24
pumpkin
57:25
spice
57:25
latte
57:26
launched
57:26
on
57:26
Tuesday.
57:27
Where
57:27
does
57:27
the
57:27
PSL
57:28
rank
57:28
for
57:29
you?
57:29
Is
57:29
it
57:29
an
57:29
immediate
57:30
run
57:30
out
57:30
and
57:30
get
57:31
or
57:31
more
57:31
of
57:31
a.
57:31
I
57:31
couldn't
57:32
give
57:32
a.
57:32
Flying
57:32
fiddlers.
57:33
You
57:33
know
57:33
what?
57:34
Yeah,
57:34
absolutely
57:35
could
57:35
not.
57:35
Care
57:36
less.
57:36
No,
57:36
I
57:36
mean
57:37
care
57:37
less.
57:37
I
57:38
didn't
57:38
know
57:38
that.
57:38
Wow.
57:39
I
57:39
mean
57:39
from
57:40
a.
57:40
I
57:40
get
57:40
it
57:40
from
57:41
a
57:41
retail
57:41
perspective,
57:41
I
57:42
know
57:42
what
57:42
it
57:42
does
57:42
for
57:42
Starbucks
57:43
and
57:43
it
57:43
drives
57:43
traffic,
57:44
it
57:44
drives
57:44
exciting
57:44
excitement,
57:44
blah
57:45
blah.
57:45
Personally.
57:47
Yeah.
57:47
So
57:47
number
57:48
one,
57:48
I'm
57:48
British
57:48
so
57:49
therefore
57:49
tea
57:50
is
57:50
the
57:50
default.
57:52
But
57:52
when
57:52
I'm
57:52
not
57:52
drinking
57:53
tea,
57:53
I,
57:53
I
57:53
have
57:54
a
57:54
very,
57:54
you
57:54
know,
57:54
coffee
57:55
should
57:55
be
57:55
small
57:55
and
57:56
purposeful.
57:56
So
57:57
cappuccino
57:58
at
57:58
breakfast
57:58
time,
57:59
espresso
57:59
after
58:00
a
58:00
meal,
58:01
any
58:01
of
58:02
mid
58:02
morning
58:03
having
58:03
a
58:03
potato
58:03
coffee,
58:04
flat
58:04
white,
58:05
anything
58:05
beyond
58:06
that
58:06
is
58:06
superfluous.
58:08
My
58:08
God,
58:09
I
58:09
love
58:09
it.
58:10
On
58:10
that
58:10
note,
58:10
coffee
58:11
should
58:11
be
58:11
small
58:11
and
58:12
purposeful.
58:12
Is
58:12
that
58:13
what
58:13
you
58:13
said?
58:13
Yes.
58:13
Small
58:14
and
58:14
purposeful.
58:14
I'm
58:15
going
58:15
to
58:15
take
58:15
that
58:15
to
58:15
heart.
58:16
All
58:16
right,
58:16
let's
58:16
get
58:17
out
58:17
of
58:17
here
58:17
on
58:17
that
58:17
one.
58:17
Small
58:18
and
58:18
purposeful.
58:19
Happy
58:19
birthday
58:19
today
58:20
to
58:20
Aaron
58:20
Paul
58:20
Peter
58:21
Stromer
58:21
and
58:22
to
58:22
the
58:22
woman
58:22
who
58:22
will
58:22
always
58:23
be
58:23
known
58:23
as
58:24
Major
58:24
Amaso.
58:25
Amaso.
58:26
I'm
58:26
a
58:26
sofa.
58:27
I'm
58:27
a
58:27
sova.
58:28
That's
58:28
what
58:28
I'm
58:28
trying
58:28
to
58:28
say
58:29
in
58:29
the
58:29
Spy
58:30
who
58:30
Loved
58:30
Me
58:30
and
58:31
who
58:31
Captured
58:31
Ringo
58:32
Starr's
58:32
heart,
58:33
the
58:33
great
58:34
Barbara
58:34
Bach.
58:35
And
58:35
remember,
58:35
if
58:35
you
58:36
can
58:36
also
58:36
only
58:36
read
58:36
or
58:36
listen
58:37
to
58:37
one
58:37
retail
58:37
blog
58:37
in
58:38
the
58:38
business,
58:38
make
58:38
it
58:38
Omnitok
58:39
only
58:40
retail
58:40
media
58:40
outlet
58:41
run
58:41
by
58:41
two
58:41
former
58:41
executives
58:42
from
58:42
a
58:42
current
58:42
top
58:43
10
58:43
US
58:43
retailer.
58:44
Our
58:44
Fast
58:44
Five
58:45
podcast
58:45
is
58:45
the
58:45
quickest,
58:45
fastest
58:46
rundown
58:46
of
58:46
all
58:46
the
58:47
week's
58:47
top
58:47
news.
58:47
And
58:48
our
58:48
daily
58:48
newsletter,
58:49
the
58:49
Retail
58:49
Daily
58:49
Minute
58:50
tells
58:50
you
58:50
all
58:50
you
58:50
need
58:50
to
58:50
know
58:50
each
58:51
day
58:51
to
58:51
stay
58:52
on
58:52
top
58:52
of
58:52
our
58:53
game.
58:54
Not
58:54
on
58:54
top
58:54
of
58:54
our
58:55
game,
58:55
it
58:55
helps
58:55
us
58:55
stay
58:55
on
58:56
top
58:56
of
58:56
our
58:56
game,
58:56
but
58:56
on
58:56
top
58:56
of
58:57
your
58:57
game
58:57
as
58:58
a
58:58
retail
58:58
executive
58:59
and
58:59
also
58:59
regularly
58:59
features
59:00
special
59:00
content
59:01
that
59:01
is
59:01
exclusive
59:01
to
59:01
us
59:02
and
59:02
that
59:02
Ann
59:02
and
59:03
I
59:03
take
59:03
a
59:03
lot
59:03
of
59:03
pride
59:03
in
59:03
doing
59:04
just
59:04
for
59:04
you.
59:04
Thanks
59:04
as
59:05
always
59:05
for
59:05
listening
59:05
in.
59:05
Please
59:05
remember
59:06
to
59:06
like
59:06
and
59:06
leave
59:06
us
59:06
a
59:06
review
59:06
wherever
59:07
you
59:07
have
59:07
to
59:07
listen
59:07
to
59:08
your
59:08
podcast
59:08
or
59:09
on
59:09
YouTube.
59:09
You
59:09
can
59:09
follow
59:09
us
59:10
today
59:10
by
59:10
simply
59:10
going
59:10
to
59:11
YouTube.com
59:12
omnitalkretail
59:14
so
59:14
until
59:15
next
59:15
week,
59:15
and
59:15
on
59:16
behalf
59:16
of
59:16
all
59:16
of
59:16
us
59:16
at
59:16
Omnitalk
59:17
Retail
59:17
and
59:17
on
59:18
behalf
59:18
of
59:18
Ben,
59:19
thank
59:19
you
59:19
for
59:19
joining
59:20
us.
59:20
Ben,
59:20
it's
59:20
always
59:21
a
59:21
pleasure.
59:22
And
59:22
as
59:22
always,
59:22
be
59:23
careful
59:23
out
59:23
there.