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Confessions Of Supply Chain Executives | The End Of Inventory Guesswork · Omni Talk Retail

0:00
Physical
0:00
AI.
0:01
Physical
0:02
AI.
0:02
It's
0:02
the
0:02
new
0:03
topic
0:03
du
0:03
jour.
0:04
It
0:04
sounds
0:05
cool.
0:06
Take
0:06
two
0:06
things
0:06
that
0:07
don't
0:07
normally
0:07
go
0:08
together,
0:08
artificial
0:09
intelligence
0:09
and
0:10
the
0:10
physical
0:11
world,
0:11
mash
0:11
them
0:11
up
0:12
and
0:12
suddenly
0:13
you
0:13
have
0:13
a
0:13
great
0:13
marketing
0:14
hook.
0:14
But
0:15
what
0:15
if,
0:16
Just
0:16
what
0:16
if
0:16
that
0:17
hook
0:17
is
0:17
actually
0:18
as
0:18
good
0:19
as
0:19
advertised?
0:20
Welcome
0:21
to
0:21
Confessions
0:22
of
0:22
Supply
0:22
Chain
0:22
Executives,
0:23
the
0:23
podcast
0:23
where
0:24
we
0:24
get
0:24
brutally
0:24
honest
0:25
about
0:25
the
0:26
challenges,
0:26
failures
0:27
and
0:27
celebrate
0:27
the
0:27
victories
0:28
in
0:29
retail
0:29
supply
0:29
chains.
0:30
I
0:30
am
0:30
your
0:30
host,
0:30
Chris
0:31
Walton.
0:31
Most
0:32
retailers
0:32
won't
0:33
admit
0:33
it,
0:33
but
0:33
few,
0:34
if
0:34
any,
0:34
know
0:35
where
0:35
their
0:35
inventory
0:36
actually
0:37
is
0:37
at
0:37
all
0:37
times.
0:38
I
0:38
don't
0:39
mean
0:39
in
0:39
a
0:39
philosophical
0:40
sense
0:40
either.
0:40
I
0:40
mean
0:41
in
0:41
a
0:41
literal
0:41
operational
0:42
sense.
0:43
They
0:43
scan
0:43
inventory
0:44
at
0:44
the
0:44
docks.
0:45
Some,
0:45
not
0:45
all,
0:46
might
0:46
scan
0:46
it
0:46
as
0:47
it
0:47
leaves
0:47
the
0:47
back
0:47
room
0:48
and
0:48
gets
0:48
placed
0:48
on
0:49
shelves.
0:49
And
0:50
finally
0:50
they
0:50
scan
0:50
it
0:51
at
0:51
the
0:51
register.
0:52
And
0:52
everything
0:52
in
0:52
between.
0:53
Well,
0:54
quite
0:55
honestly,
0:55
it's
0:55
anyone's
0:56
guess.
0:56
I
0:57
was
0:57
first
0:57
introduced
0:57
to
0:58
the
0:58
concept
0:58
of
0:58
physical
0:58
AI
0:59
by
0:59
Wiliot's
1:00
Amir
1:00
Kojniati
1:01
on
1:01
this
1:01
very
1:01
podcast
1:02
series
1:02
back
1:02
in
1:02
February.
1:03
So
1:03
I've
1:04
asked
1:04
him
1:04
back.
1:05
But
1:05
this
1:05
time
1:05
we've
1:06
also
1:06
invited
1:06
K.
1:07
Irwin,
1:07
the
1:08
national
1:08
practice
1:08
lead
1:09
for
1:09
Connected
1:09
Assets
1:10
and
1:10
smart
1:11
Supply
1:11
chain
1:11
practice
1:12
at
1:12
AT&T
1:13
to
1:13
the
1:14
discussion
1:14
because
1:14
the
1:15
two
1:15
companies
1:15
just
1:15
formed
1:16
a
1:16
unique
1:16
relationship
1:17
to
1:17
help
1:18
retailers
1:18
make
1:18
the
1:19
concept
1:19
of
1:19
physical
1:19
AI
1:20
work
1:21
AT
1:21
scale
1:21
across
1:22
retail.
1:22
Amir
1:23
and
1:23
K,
1:24
welcome
1:24
to
1:24
Confessions
1:25
of
1:25
a
1:26
Supply
1:26
Chain
1:26
Executive.
1:26
Amir,
1:27
how
1:27
are
1:27
you
1:27
doing
1:27
today?
1:28
Doing
1:29
well.
1:29
Thanks
1:29
again
1:30
for
1:30
having
1:30
us.
1:30
Really
1:31
appreciate
1:31
it.
1:32
Yeah,
1:32
it's
1:32
great
1:32
to
1:32
have
1:32
you
1:32
back.
1:33
We
1:33
had
1:33
such
1:33
a
1:33
great
1:33
discussion.
1:34
I'm
1:35
really
1:35
excited
1:35
to
1:35
get
1:35
into
1:35
this
1:36
concept
1:36
with
1:36
you
1:36
even
1:37
more
1:37
since
1:37
you
1:37
kind
1:37
of
1:38
teased
1:38
it
1:38
for
1:38
us
1:38
the
1:39
first
1:39
time.
1:39
But
1:39
Kay,
1:40
how
1:40
are
1:40
you
1:40
doing
1:40
as
1:41
well?
1:41
I'm
1:41
doing
1:41
great,
1:42
thank
1:42
you.
1:42
And
1:43
I
1:43
appreciate
1:43
being
1:44
invited
1:44
to
1:44
the
1:44
party.
1:45
Yeah.
1:45
So,
1:45
K,
1:46
our
1:46
audience
1:46
knows
1:46
Amir
1:47
a
1:47
little
1:47
bit.
1:47
Tell
1:47
us
1:47
about
1:47
yourself.
1:48
What
1:48
all
1:48
does
1:48
your
1:49
role
1:49
entail
1:49
at
1:49
at&t?
1:51
So
1:51
I'm
1:51
in
1:51
our
1:51
at&t
1:52
connected
1:53
Solutions
1:53
group
1:54
and
1:54
I
1:54
head
1:55
up
1:55
a
1:55
team
1:56
that
1:56
handles
1:57
anything
1:58
location
1:59
related.
2:00
So
2:00
we
2:00
help
2:00
our
2:01
customers
2:01
track
2:02
products,
2:03
assets,
2:03
shipments,
2:04
providing
2:05
location
2:05
and
2:06
sensor
2:06
data
2:06
on
2:07
any
2:07
mobile
2:08
things
2:08
they
2:08
need
2:09
to
2:09
find
2:09
and
2:10
keep
2:10
track
2:10
of.
2:11
Who
2:11
knew,
2:11
who
2:12
knew
2:12
that
2:12
AT&T
2:13
extended
2:13
into
2:13
such
2:14
areas.
2:14
That's
2:15
great.
2:15
All
2:15
right,
2:15
well,
2:15
thanks
2:16
for
2:16
joining
2:16
us.
2:16
I'm
2:17
excited
2:17
to
2:17
have
2:17
this
2:17
power
2:17
duo
2:18
with
2:18
us
2:19
today.
2:19
All
2:19
right,
2:19
so
2:19
let's
2:19
start
2:20
at
2:20
the
2:20
top
2:20
because
2:20
I
2:20
want
2:21
to
2:21
make
2:21
sure
2:22
every
2:22
listener
2:23
that
2:23
listens
2:23
to
2:24
our
2:24
podcast
2:24
on
2:24
a
2:24
regular
2:25
basis,
2:25
from
2:25
a
2:25
first
2:26
year
2:26
analyst
2:26
all
2:26
the
2:26
way
2:27
up
2:27
to
2:27
a
2:27
chief
2:27
supply
2:27
chain
2:28
officer,
2:28
I
2:29
want
2:29
them
2:29
all
2:29
to
2:29
be
2:29
on
2:29
the
2:30
same
2:30
Page
2:30
by
2:30
what
2:31
we
2:31
mean
2:31
when
2:31
we
2:32
say
2:32
physical
2:32
AI.
2:33
So
2:33
physical
2:33
AI,
2:34
Amir,
2:35
what
2:35
does
2:35
Wiliot
2:36
and
2:36
you
2:36
particularly
2:37
mean
2:37
by
2:38
that
2:38
term?
2:38
And
2:38
how
2:38
is
2:39
it
2:39
different
2:40
from
2:40
the
2:40
IoT
2:41
and
2:41
RFID
2:42
conversations
2:42
retailers
2:43
have
2:43
been
2:43
having
2:43
for
2:44
the
2:44
past
2:44
few
2:44
decades?
2:46
Yeah,
2:46
great,
2:46
great
2:46
question
2:47
to
2:47
kick
2:47
things
2:48
off
2:48
here.
2:48
So
2:48
physical
2:49
AI
2:49
by
2:49
definition
2:50
is
2:50
our
2:51
ability
2:51
to
2:51
take
2:51
the
2:52
physical
2:52
world,
2:52
turn
2:53
it
2:53
digital,
2:54
and
2:54
then
2:54
be
2:54
able
2:54
to
2:55
make
2:55
sense
2:55
of
2:55
it
2:56
using
2:56
AI
2:57
and
2:57
agentic
2:58
type
2:58
algorithms.
3:00
For
3:00
us,
3:01
historically,
3:02
we've
3:02
seen
3:02
barcodes
3:03
RFID
3:04
tags
3:04
in
3:04
the
3:04
market.
3:05
We've
3:06
seen
3:06
certain
3:07
use
3:07
cases
3:08
where
3:08
you
3:08
know
3:08
exactly
3:09
where
3:09
they
3:09
are
3:10
at
3:10
a
3:10
point
3:11
in
3:11
time,
3:12
mainly
3:12
what
3:12
we
3:12
call
3:13
snapshots,
3:14
and
3:14
then
3:14
the
3:14
items
3:15
go
3:15
dark.
3:15
There's
3:16
a
3:16
lot
3:16
of
3:16
brownouts
3:17
through
3:17
the
3:17
supply
3:17
chain.
3:18
With
3:18
physical
3:19
AI,
3:19
you're
3:20
building
3:20
on
3:20
that
3:20
concept
3:21
of
3:21
digitization,
3:22
but
3:22
you're
3:23
able
3:23
to
3:23
trace
3:23
and
3:24
track
3:24
the
3:25
journey
3:25
of
3:25
every
3:26
asset
3:26
with
3:26
no
3:27
brownouts
3:27
and
3:28
then
3:28
at
3:28
the
3:28
same
3:28
time
3:28
be
3:29
able
3:29
to
3:29
get
3:29
full
3:30
visibility
3:31
on
3:31
the
3:31
sensing
3:32
and
3:32
the
3:32
state
3:32
of
3:33
that
3:33
item.
3:33
So
3:34
whether
3:34
it's
3:34
an
3:34
item
3:35
that's
3:35
a
3:35
dry
3:35
item
3:36
or
3:36
if
3:36
it's
3:36
an
3:36
item
3:37
that's
3:37
a
3:37
perishable,
3:38
you,
3:38
you
3:38
can
3:39
still
3:39
have
3:39
the
3:40
same
3:40
use
3:40
case
3:40
behind
3:41
it,
3:41
but
3:41
get
3:41
the
3:42
insights
3:42
around
3:42
the
3:43
sensing
3:43
as
3:43
well.
3:44
So,
3:45
Amir,
3:45
I
3:45
want
3:45
to
3:45
push
3:45
you
3:45
a
3:45
little
3:46
bit
3:46
on
3:46
that
3:46
because,
3:46
you
3:47
know,
3:47
why,
3:48
why,
3:48
why
3:49
describe
3:49
that
3:50
as
3:50
physical
3:50
AI?
3:50
Why
3:50
isn't
3:51
it
3:51
just
3:51
sensing
3:51
or
3:52
IoT
3:52
as
3:52
we
3:52
traditionally
3:53
talked
3:53
about
3:54
it,
3:54
prior
3:54
to
3:54
the
3:55
advent
3:55
of
3:55
all
3:55
the
3:55
discussions
3:56
around
3:56
AI?
3:57
What
3:57
is
3:57
the
3:57
AI
3:58
part
3:58
actually
3:58
doing
3:59
in
3:59
this,
4:00
this
4:00
framework,
4:01
so
4:01
to
4:01
speak?
4:02
Well,
4:02
it's
4:03
getting
4:03
better
4:03
and
4:04
better
4:04
by
4:05
the
4:05
number
4:05
of
4:06
data
4:06
points
4:06
that
4:06
are
4:07
ingested
4:07
in.
4:08
Historically,
4:08
data
4:09
points
4:09
live
4:10
all
4:10
around
4:10
us.
4:10
You
4:11
have
4:11
data
4:11
points
4:11
from
4:11
barcodes,
4:12
you
4:12
have
4:12
data
4:12
points
4:13
from
4:13
RFID
4:13
tags.
4:15
The
4:15
AI
4:16
component
4:16
of
4:16
it
4:17
mixed
4:17
in
4:18
with
4:18
the
4:18
sensing
4:18
capability
4:19
allows
4:19
you
4:20
to
4:20
be
4:20
predictive,
4:21
not
4:21
reactive.
4:22
Historically,
4:23
being
4:23
able
4:23
to
4:23
take
4:23
snapshots
4:24
is
4:24
a
4:24
reactive
4:25
state.
4:25
If
4:26
you
4:26
have
4:26
somebody
4:26
in
4:26
a
4:27
warehouse
4:27
walking
4:27
around
4:28
with
4:28
a
4:28
RFID
4:29
reader
4:29
as
4:30
a
4:30
wand
4:30
and
4:30
they're
4:31
manually
4:31
scanning
4:31
the
4:32
left
4:32
side
4:32
and
4:32
then
4:32
the
4:33
right
4:33
side
4:33
of
4:33
the
4:33
warehouse,
4:34
there's
4:34
manual
4:35
intervention,
4:36
there's.
4:36
It's
4:37
error
4:37
prone,
4:38
they
4:38
may
4:38
get
4:39
distracted
4:39
and
4:39
miss
4:40
something.
4:40
That
4:41
data
4:41
doesn't
4:41
come
4:41
in.
4:42
With
4:43
physical
4:43
AI,
4:44
specifically,
4:45
drilling
4:45
down
4:46
on
4:46
the
4:46
AI
4:46
component
4:47
of
4:47
it,
4:47
you're
4:48
able
4:48
to
4:48
get
4:49
full
4:49
visibility
4:49
with
4:50
the
4:50
Williot
4:50
stack
4:51
today.
4:51
But
4:51
also
4:52
the
4:52
AI
4:52
portion
4:53
with
4:53
the
4:54
data
4:54
coming
4:54
in
4:54
starts
4:55
to
4:55
become
4:55
predictive
4:56
and
4:57
start
4:57
to
4:57
look
4:57
into
4:58
trends.
4:58
So
4:59
if
4:59
there
4:59
are
4:59
certain
4:59
levels
5:00
of
5:00
restocking
5:01
stack
5:01
stock
5:01
to
5:01
light
5:02
when
5:02
you
5:02
look
5:02
at
5:02
it,
5:03
or
5:03
if
5:03
there's
5:03
certain
5:04
levels
5:04
of
5:05
volatility
5:06
in
5:06
a
5:07
transport
5:07
and
5:08
that
5:08
same
5:08
methodology
5:09
is
5:10
happening
5:10
time
5:10
after
5:11
time.
5:11
You
5:12
can
5:12
predict
5:12
it
5:12
ahead
5:13
of
5:13
time
5:13
and
5:14
then
5:14
save
5:15
any
5:15
kind
5:15
of
5:15
spoilage,
5:16
any
5:16
kind
5:16
of
5:16
issue,
5:17
or
5:18
from
5:18
a
5:18
supply
5:19
chain
5:19
standpoint.
5:20
And
5:20
procurement,
5:21
you
5:21
can
5:21
get
5:21
ahead
5:21
of
5:22
any
5:22
kind
5:22
of
5:22
stock
5:22
out
5:23
based
5:23
on
5:23
the
5:23
trends
5:24
in
5:24
the
5:24
data
5:24
coming
5:24
in.
5:25
So
5:25
the
5:25
AI
5:26
component
5:26
is
5:27
that
5:27
insight
5:27
and
5:28
the
5:28
visibility
5:28
to
5:29
stay
5:29
predictive
5:30
versus
5:30
the
5:30
historic
5:31
reactive
5:31
system
5:32
state.
5:33
Got
5:33
it.
5:33
Amir,
5:33
so
5:33
if
5:33
I
5:34
were
5:34
to
5:34
summarize
5:34
what
5:34
you
5:34
said,
5:34
it's
5:35
really
5:35
about
5:35
generating
5:36
insights
5:37
and
5:37
possibly
5:37
even
5:37
actions
5:38
based
5:38
on
5:39
the
5:39
data
5:40
that's
5:40
being
5:41
understood
5:42
or
5:42
acquired
5:43
by
5:43
whatever
5:43
system
5:44
you're
5:44
deploying.
5:45
Absolutely.
5:46
Yep.
5:46
Okay.
5:47
Got
5:47
it.
5:47
Okay,
5:47
Got
5:48
it.
5:48
Thank
5:48
you
5:48
for
5:48
that.
5:49
All
5:49
right,
5:49
K,
5:49
so
5:49
I
5:50
want
5:50
to
5:50
talk
5:50
about
5:50
this
5:50
relationship
5:51
that
5:51
you.
5:51
That
5:52
your
5:52
two
5:52
organizations,
5:53
AT&T
5:53
and
5:53
WilIOT,
5:54
have
5:54
formed
5:55
from
5:56
AT&T's
5:56
perspective.
5:57
What
5:57
was
5:57
it
5:57
about
5:58
Wiliot
5:59
that
5:59
made
5:59
the
5:59
relationship
6:00
so
6:00
compelling?
6:01
And
6:02
why
6:02
now?
6:02
And
6:02
why
6:03
physical
6:03
AI
6:04
specifically?
6:05
Why
6:05
did
6:05
you
6:05
two
6:05
enter
6:05
into
6:06
this?
6:07
Well,
6:07
AT&T
6:08
and
6:08
Williot
6:08
are
6:09
working
6:09
together
6:09
to
6:10
help
6:10
businesses
6:11
gain
6:11
deeper
6:12
operational
6:12
visibility
6:13
through
6:14
physical
6:14
AI.
6:15
And
6:15
Williot
6:16
brings
6:16
this
6:17
sensing
6:17
technology
6:18
that
6:18
is
6:20
doing
6:20
wonders
6:21
for
6:21
many
6:21
of
6:22
our
6:22
customers.
6:23
And
6:23
AT&T
6:24
helps
6:24
deploy,
6:26
scale
6:26
it
6:26
with
6:27
connectivity,
6:28
services
6:28
and
6:28
support.
6:29
So
6:30
the
6:30
combination
6:31
is
6:32
really
6:32
working
6:33
well
6:33
for
6:34
our
6:34
joint
6:35
customers.
6:36
And
6:36
you
6:37
know,
6:37
this
6:37
item
6:38
level
6:38
intelligence
6:40
really
6:40
provides
6:41
businesses
6:41
a
6:42
clearer
6:42
view
6:43
of
6:43
where
6:43
their
6:43
products
6:44
are
6:44
throughout
6:44
the
6:44
supply
6:45
chain.
6:45
So
6:46
we
6:46
really
6:46
value
6:47
this
6:47
relationship
6:48
and
6:48
it's
6:48
working
6:48
out
6:49
really
6:49
great.
6:50
Got
6:50
it.
6:51
Kay,
6:51
I'm
6:51
curious
6:51
too,
6:51
because
6:51
you
6:52
said
6:52
you're
6:53
your
6:53
job,
6:53
role
6:54
or
6:54
your
6:54
remit
6:54
really
6:55
is
6:55
focused
6:55
on
6:56
location
6:56
and
6:57
understanding
6:57
everything
6:57
that
6:57
happens
6:58
and
6:58
the
6:58
data
6:58
you
6:58
can
6:59
collect
6:59
from
6:59
around
7:00
it.
7:01
When
7:01
you
7:01
look
7:01
at
7:01
where
7:02
physical
7:02
AI
7:02
fits
7:03
into
7:03
AT&T's
7:04
strategic
7:04
portfolio,
7:05
how
7:05
do
7:05
you
7:05
describe,
7:07
describe
7:07
physical
7:07
AI
7:08
internally
7:08
to
7:09
get
7:09
what
7:09
you
7:09
need
7:09
and
7:10
get
7:10
the
7:10
resources
7:10
committed
7:11
to
7:11
you
7:11
in
7:11
the
7:11
ways
7:11
you
7:12
need
7:12
them
7:12
to
7:12
be?
7:13
We
7:13
have
7:14
physical
7:15
AI
7:15
helps
7:16
connect
7:16
what's
7:16
happening
7:17
in
7:17
the
7:17
real
7:17
world
7:18
to
7:18
what
7:18
companies
7:19
can
7:19
actually
7:19
see
7:20
and
7:20
act
7:20
on.
7:21
So.
7:21
So
7:22
AT&T
7:22
provides
7:24
that
7:25
visibility,
7:26
that
7:26
connectivity
7:27
to
7:28
make
7:28
those
7:28
decisions
7:29
faster.
7:30
So
7:30
it's
7:31
very
7:31
important
7:31
to
7:32
AT
7:32
and
7:32
T
7:32
and
7:32
to
7:33
our
7:33
customers
7:33
to
7:34
have
7:34
that
7:35
improved
7:35
awareness
7:36
in
7:36
the
7:36
fields.
7:38
Catch
7:38
issues
7:39
sooner,
7:40
respond
7:40
faster,
7:41
and
7:41
connectivity
7:42
really
7:43
allows
7:44
that
7:44
to
7:44
happen,
7:45
especially
7:45
on
7:45
these
7:46
mobile
7:46
assets
7:47
that
7:48
our
7:48
customers
7:49
are
7:49
looking
7:50
for
7:50
and
7:50
tracking.
7:51
It
7:51
includes
7:52
not
7:52
just
7:52
the
7:53
location
7:53
data,
7:53
I
7:54
guess,
7:54
but
7:54
also
7:55
sensor
7:55
type
7:56
data,
7:56
you
7:57
know,
7:57
other
7:57
data
7:57
that
7:58
goes
7:58
along
7:58
with
7:58
that
7:59
physical
8:00
AI
8:01
layer.
8:01
Right.
8:01
And
8:01
then
8:02
when.
8:02
And
8:02
then
8:02
the
8:02
powers
8:03
when
8:03
it
8:03
gets
8:03
combined
8:03
with
8:04
that
8:04
location
8:04
data.
8:04
Too
8:05
right.
8:05
The
8:05
sensing
8:05
data,
8:06
that's
8:07
where
8:07
the
8:07
one
8:07
plus
8:07
one
8:07
equals
8:08
three.
8:08
I'm
8:08
curious
8:09
too,
8:09
Is,
8:10
is
8:10
this
8:10
relation,
8:11
I
8:11
mean,
8:11
this
8:11
is
8:11
a
8:11
retail
8:12
podcast.
8:12
It's
8:12
a
8:12
retail
8:12
focused
8:13
podcast.
8:13
But
8:13
is
8:14
the
8:14
relationship
8:15
solely
8:16
retail
8:16
or
8:16
is
8:16
there
8:16
a
8:16
broader
8:17
industrial
8:18
play
8:18
between
8:18
the
8:18
two
8:18
of
8:19
your
8:19
companies
8:19
as
8:19
well?
8:19
Kay.
8:20
Well,
8:20
retail
8:21
is
8:21
a
8:21
natural
8:22
fit,
8:22
but
8:22
I've
8:23
seen
8:24
other
8:24
customers.
8:25
It's
8:25
really
8:25
any
8:26
business
8:27
that
8:27
makes
8:28
moves,
8:28
stores,
8:30
sells
8:30
a
8:30
lot
8:30
of
8:30
products,
8:31
or
8:31
manages
8:32
even
8:32
other
8:33
assets
8:33
and
8:33
equipment
8:34
in
8:34
the
8:35
field,
8:35
they
8:36
can
8:36
all
8:36
benefit
8:36
from
8:37
physical
8:37
AI.
8:38
So
8:38
retail
8:39
is
8:39
probably
8:40
number
8:40
one.
8:41
But
8:41
we're
8:41
seeing
8:41
manufacturing,
8:42
obviously
8:43
logistics.
8:44
Some
8:44
of
8:44
those
8:45
types
8:45
of
8:45
companies
8:46
have
8:46
a
8:46
real
8:47
interest
8:47
and
8:47
a
8:48
need
8:48
and
8:49
an
8:49
roi.
8:50
So
8:50
that's
8:51
great.
8:52
Okay,
8:52
so,
8:53
so,
8:53
all
8:53
right,
8:53
so
8:53
I
8:54
imagine
8:54
there's
8:54
a
8:54
lot
8:54
of
8:55
lot
8:55
of
8:55
executives
8:56
listening
8:56
to
8:56
this
8:56
podcast
8:56
right
8:57
now
8:57
who
8:57
some
8:57
of
8:57
them
8:58
are
8:58
probably
8:58
a
8:58
little
8:58
skeptical.
8:59
And
8:59
by
8:59
that
8:59
I
8:59
mean
8:59
there's
9:00
been
9:00
a
9:00
lot
9:00
of
9:00
people
9:00
that
9:01
have
9:01
heard
9:01
or
9:01
seen
9:02
a
9:02
lot
9:02
of
9:02
relationships
9:03
announced
9:03
in
9:03
the
9:04
media
9:04
that,
9:04
you
9:04
know,
9:05
never
9:05
delivered.
9:05
And
9:06
so
9:06
I
9:06
want
9:06
to
9:06
ask
9:06
you
9:06
about
9:07
Mirror.
9:07
Let's
9:07
go
9:07
back
9:08
to
9:08
you.
9:08
What,
9:08
what
9:09
makes,
9:09
what
9:09
makes
9:10
this
9:10
relationship
9:11
different
9:11
from
9:11
the
9:11
relationships
9:12
they've
9:12
heard
9:12
about
9:12
in
9:12
the
9:12
past?
9:13
Well,
9:13
when
9:14
you
9:14
look
9:14
at
9:14
the
9:15
way
9:15
that
9:15
physical
9:15
AI
9:16
is
9:16
getting
9:16
traction
9:16
in
9:17
the
9:17
market
9:17
and
9:17
specifically
9:18
Will
9:18
yet
9:18
is
9:18
stepping
9:19
into
9:20
really
9:20
lead
9:21
that
9:22
initiative.
9:23
We
9:23
want
9:24
to
9:24
really
9:25
collaborate
9:25
with
9:26
the
9:26
right
9:26
types
9:27
of
9:27
organizations.
9:27
And
9:28
AT&T
9:29
and
9:29
K's
9:29
group
9:30
are
9:30
absolutely
9:31
one
9:31
of
9:31
those.
9:32
So
9:32
we
9:32
take
9:33
our
9:33
cutting
9:34
edge
9:34
technology
9:34
and
9:35
as
9:35
we
9:35
take
9:35
it
9:35
into
9:36
market,
9:37
we
9:37
have
9:38
the
9:38
tech,
9:38
we
9:38
need
9:39
the
9:39
expertise
9:40
and
9:40
definitely
9:41
somebody
9:41
that
9:41
has
9:42
the
9:42
track
9:42
record
9:43
to
9:43
take
9:43
that
9:44
tech
9:44
and
9:44
then
9:44
amplify
9:45
it
9:46
into
9:46
large
9:46
organizations
9:47
that
9:47
are
9:47
putting
9:48
trust
9:48
behind
9:49
this
9:49
technology.
9:50
I've
9:50
went
9:50
through
9:50
historically
9:52
at
9:53
the
9:53
start
9:53
of
9:54
the
9:55
podcast,
9:55
really
9:55
around
9:56
the
9:56
technology
9:56
ladder.
9:57
So
9:57
we
9:57
went
9:58
through
9:58
what
9:58
barcodes
9:59
meant,
9:59
what
9:59
RFID
10:00
meant.
10:01
We
10:01
really
10:01
feel
10:02
we're
10:02
on
10:02
the
10:02
next
10:02
frontier
10:03
with
10:03
Williot.
10:04
And
10:04
there's
10:04
a
10:04
lot
10:04
of
10:05
enterprise
10:05
level
10:05
organizations
10:06
that
10:06
have
10:07
started
10:07
to
10:08
take
10:08
this
10:09
from
10:09
a
10:09
deployment
10:10
standpoint
10:11
forward.
10:11
So
10:12
taking
10:12
that
10:13
from
10:13
a
10:13
POC
10:14
or
10:14
pilot
10:14
to
10:14
a
10:15
deployment
10:15
means
10:15
a
10:15
lot
10:16
of
10:16
trust
10:16
in
10:16
technology.
10:17
And
10:17
you
10:17
need
10:18
a
10:18
reliable
10:19
partner
10:19
to
10:19
collaborate
10:20
with
10:20
to
10:21
actually
10:21
take
10:21
that
10:21
to
10:21
market
10:22
in
10:22
a
10:23
consistent
10:23
way
10:24
that
10:24
it's
10:25
not
10:25
running
10:26
into
10:26
any
10:26
challenges,
10:26
especially
10:27
at
10:27
the
10:27
scale
10:28
that
10:28
we're
10:28
moving
10:28
at.
10:29
And
10:29
that's
10:29
where
10:29
this
10:30
collaboration
10:30
is
10:31
so
10:31
important
10:31
and
10:31
it's
10:32
working
10:32
out
10:32
great.
10:34
Kay,
10:34
what
10:34
has
10:34
to
10:34
be
10:35
true,
10:35
say
10:36
in
10:36
three
10:36
years
10:36
time
10:36
for
10:37
this
10:37
relationship
10:38
to
10:38
be
10:38
considered
10:39
a
10:39
success
10:39
in
10:40
your
10:40
mind,
10:40
in
10:40
the
10:40
mind
10:40
of
10:41
A,
10:41
AT.
10:41
And
10:41
T,
10:42
I
10:43
would
10:43
Say
10:43
that
10:43
in,
10:43
in
10:44
three
10:44
years
10:45
success
10:46
means
10:46
our
10:47
customers
10:47
are
10:48
getting
10:48
real
10:48
operational
10:49
value
10:50
from
10:50
physical
10:51
AI
10:51
and
10:52
at
10:52
scale.
10:53
As
10:53
Amir
10:54
said,
10:54
you
10:54
know,
10:55
if
10:55
we
10:55
can,
10:56
if
10:56
we're
10:56
moving
10:56
from
10:57
pilot
10:57
phase
10:58
and
10:58
testing
10:58
phase
10:59
to
10:59
that
10:59
broader
11:00
adoption
11:01
and,
11:01
and
11:02
our
11:02
customers
11:02
are
11:03
finding
11:03
measurable
11:04
business
11:05
impact,
11:06
that's.
11:07
I
11:07
think
11:07
we're
11:08
right
11:08
on
11:08
track
11:08
there.
11:09
Got
11:10
it.
11:10
Okay,
11:10
so
11:11
that's
11:11
really
11:11
important.
11:11
That's
11:11
why
11:12
I
11:12
started
11:12
off
11:12
the
11:12
questions
11:13
I
11:13
did,
11:13
everyone
11:13
who's
11:14
listening,
11:15
because
11:15
I
11:15
want
11:15
to
11:15
understand
11:15
the
11:16
relationship
11:16
within
11:16
the
11:16
context
11:17
of
11:17
what
11:17
we're
11:17
talking
11:17
about,
11:18
the
11:18
timeframes
11:19
with
11:19
which
11:19
we're
11:19
talking
11:20
about
11:20
them,
11:20
which,
11:21
Kay,
11:21
if
11:21
I
11:21
heard
11:21
you
11:21
right,
11:22
you
11:22
just
11:22
said
11:22
we
11:23
want
11:23
to
11:23
see
11:23
actual
11:24
physical
11:24
AI
11:25
proving
11:25
itself
11:26
in
11:26
the
11:26
market
11:26
within
11:27
a
11:27
three
11:27
year
11:27
time
11:27
frame.
11:28
Is
11:28
that
11:28
right?
11:29
That
11:29
is
11:30
definitely
11:30
true,
11:30
yes.
11:32
Okay,
11:33
so
11:33
then
11:33
my
11:33
next
11:33
question
11:34
for
11:34
you
11:34
then
11:35
is
11:35
this
11:36
supply
11:36
chain
11:36
visibility
11:37
problem
11:37
that
11:37
I
11:37
talked
11:38
about
11:38
at
11:38
the
11:38
outset,
11:38
it's
11:38
not
11:39
new.
11:40
You
11:40
know,
11:40
retailers
11:41
have
11:41
been
11:41
trying
11:41
to
11:41
solve
11:41
it,
11:41
I
11:42
mean,
11:42
as
11:42
long
11:42
as
11:42
I've
11:42
been
11:43
in
11:43
retail,
11:43
I
11:43
mean,
11:43
I've
11:43
been
11:43
in
11:44
retail
11:44
for
11:44
30
11:44
years.
11:45
And
11:45
most
11:46
retailers
11:46
can
11:46
tell
11:46
you
11:46
where
11:47
their
11:47
inventory
11:47
is
11:47
in
11:48
the
11:48
system,
11:48
but
11:49
not
11:49
where
11:49
it
11:49
actually
11:50
is.
11:50
So
11:51
let's
11:51
get
11:51
into,
11:52
let's
11:52
get
11:52
into
11:52
the
11:52
nitty
11:53
gritty
11:53
now
11:53
and
11:54
why
11:54
that
11:55
gap
11:55
exists
11:55
and
11:56
what
11:56
it
11:56
ultimately
11:57
costs.
11:57
So
11:57
Amir,
11:58
why
11:58
do
11:58
supply
11:59
chains
11:59
still
11:59
operate
12:00
with
12:00
limited
12:01
real
12:01
time
12:01
visibility
12:02
despite
12:03
massive
12:04
investments
12:04
in
12:04
technology
12:05
over
12:05
these
12:05
past
12:06
few
12:06
decades?
12:07
Well,
12:08
I
12:08
think
12:08
the
12:08
attempt
12:09
and
12:09
the
12:09
ambition
12:10
is
12:10
still
12:10
there
12:12
from
12:13
what
12:13
was
12:13
set
12:13
out
12:13
to
12:13
be
12:14
done
12:14
in
12:14
the
12:14
early
12:14
stages.
12:15
The
12:15
difference
12:16
is
12:17
where
12:17
does
12:19
the
12:19
previous
12:19
or
12:20
the
12:20
legacy
12:20
technology
12:21
stack
12:21
have
12:22
limitations?
12:23
And
12:23
then
12:23
really
12:23
how
12:24
does
12:24
that
12:24
match
12:24
up
12:24
to
12:25
the
12:25
expectations?
12:26
If
12:26
you
12:26
look
12:27
at
12:27
legacy
12:27
technologies
12:28
around
12:28
vision
12:29
or
12:29
you
12:29
look
12:29
at
12:29
rfid,
12:31
they
12:31
are
12:31
very
12:32
good
12:32
at
12:32
pinpointing
12:33
those
12:34
scans
12:34
in
12:34
real
12:35
time.
12:35
But
12:36
if
12:36
the
12:36
ambition
12:36
is
12:37
to
12:37
have
12:37
full
12:37
traceability
12:38
through
12:38
the
12:38
supply
12:38
chain,
12:39
we
12:39
know
12:39
that
12:40
there's
12:40
limitations
12:40
behind
12:41
it.
12:41
There's
12:42
infrastructure
12:42
limitations
12:43
when
12:43
it
12:44
comes
12:44
to
12:44
the
12:44
CAPEX
12:45
required
12:46
and
12:46
the
12:46
hardware
12:46
required
12:47
to
12:47
have
12:47
full
12:47
visibility
12:48
at
12:48
all
12:48
times.
12:49
Outfitting
12:50
a
12:50
trailer
12:50
that
12:50
moves
12:51
from
12:51
a
12:52
manufacturing
12:53
site
12:53
to
12:53
a
12:53
DC
12:53
or
12:54
from
12:54
a
12:54
DC
12:54
to
12:55
a,
12:55
to
12:55
a
12:55
back
12:56
of
12:56
store,
12:57
if
12:58
there's
12:58
no
12:58
outfitting
12:59
or
12:59
no
13:00
infrastructure
13:00
to
13:01
drive,
13:01
track
13:01
and
13:01
trace
13:02
through
13:02
that
13:02
process,
13:03
you
13:03
have
13:03
a
13:03
brownout
13:04
spot.
13:04
So
13:04
automatically
13:05
you're
13:05
at
13:06
a
13:06
disadvantage
13:07
to,
13:07
to
13:07
leading
13:08
up
13:08
to
13:08
that
13:08
objective.
13:10
If
13:10
you're
13:10
looking
13:11
at
13:11
some
13:12
level
13:12
of
13:13
sensing,
13:14
understanding
13:15
temperature,
13:16
volatility
13:17
of
13:17
a
13:17
perishable
13:18
through
13:18
the
13:18
supply
13:18
chain,
13:19
you're
13:19
also
13:19
at
13:20
a
13:20
disadvantage
13:20
because
13:21
you
13:21
need
13:21
to
13:21
calibrate
13:22
readers
13:22
differently.
13:23
You
13:23
have
13:23
to
13:23
change
13:23
the
13:24
tag
13:25
composition
13:25
from
13:26
the
13:26
IC
13:26
makeup.
13:27
So
13:27
you
13:27
have
13:28
all
13:28
these
13:28
variables
13:29
that
13:29
have
13:29
to
13:29
go
13:29
in
13:30
perfectly
13:30
to
13:31
achieve
13:31
that
13:31
objective.
13:33
Now,
13:34
as
13:34
we've
13:34
set
13:34
forth
13:35
on
13:35
this
13:35
journey,
13:36
we've
13:36
understood
13:37
some
13:37
of
13:37
those
13:37
limitations
13:38
and
13:39
our
13:39
hope
13:39
was
13:39
as
13:40
we
13:40
start
13:40
to
13:40
become
13:40
a
13:41
puzzle
13:41
piece
13:41
in
13:41
this
13:42
equation,
13:42
we're
13:43
addressing
13:44
the
13:44
challenges
13:44
and
13:44
shortcomings
13:45
from
13:46
the
13:46
legacy
13:46
tech
13:47
so
13:48
that
13:48
we
13:48
can
13:48
not
13:48
only
13:48
build
13:49
on
13:49
the
13:49
foundation
13:50
there,
13:50
but
13:50
also
13:50
we
13:51
can
13:51
really
13:51
focus
13:51
in
13:52
on
13:52
the
13:52
areas
13:52
that
13:52
we
13:53
see
13:53
the
13:53
true
13:54
problems.
13:54
So
13:55
that
13:55
handshake
13:56
from
13:56
a
13:57
source
13:58
to
13:58
a
13:58
distributor,
13:59
that
13:59
that's
13:59
a
13:59
handshake
14:00
that
14:00
should
14:00
be
14:00
automated
14:01
and
14:01
there
14:01
should
14:01
be
14:02
visibility
14:02
through
14:02
that
14:03
process
14:03
because
14:03
it's
14:04
so
14:04
crucial.
14:05
Equally,
14:05
when
14:05
it
14:05
goes
14:06
from
14:06
a
14:06
DC
14:06
to
14:06
a
14:07
store,
14:08
that
14:08
handshake
14:08
needs
14:09
to
14:09
be
14:09
streamlined
14:10
and
14:10
we
14:10
need
14:10
visibility
14:11
around
14:11
that.
14:12
If
14:12
any
14:13
one
14:13
of
14:13
these
14:13
nodes
14:14
is
14:14
broken
14:14
down,
14:15
you
14:15
have
14:15
a
14:16
discrepancy
14:16
in
14:16
the
14:16
supply
14:17
chain
14:17
and
14:17
then
14:17
you
14:18
have
14:18
a,
14:18
a
14:19
lot
14:19
of
14:19
questions
14:19
and
14:19
finger
14:20
pointing.
14:20
So
14:21
it
14:21
sounds
14:21
to
14:21
me
14:21
like
14:22
the
14:23
main
14:23
gaps
14:23
or
14:24
the
14:24
main
14:24
problems
14:25
that
14:25
still
14:25
exist
14:25
in
14:26
trying
14:26
to
14:26
answer
14:26
that
14:26
question,
14:26
I
14:26
said
14:27
is
14:27
it
14:27
really
14:27
comes
14:28
down
14:28
to
14:28
the
14:29
cost
14:29
and
14:29
the
14:30
actual
14:30
infrastructure
14:31
being
14:31
able
14:32
to
14:32
be
14:32
implemented
14:32
in
14:32
a
14:33
way
14:33
that
14:33
is
14:34
ROI
14:35
efficient,
14:35
for
14:35
lack
14:36
of
14:36
a
14:36
better
14:36
way
14:36
to
14:36
put
14:36
it.
14:37
So
14:38
what
14:38
is
14:38
the
14:38
breakthrough
14:39
that
14:39
then
14:40
comes,
14:40
it
14:40
enables
14:41
you
14:41
to
14:41
then
14:41
take
14:42
this
14:42
to
14:42
that
14:42
next
14:43
level.
14:44
Is
14:44
it
14:44
that
14:45
the
14:45
increase
14:46
in
14:46
technology
14:46
and
14:47
continuous
14:47
sensing
14:48
that
14:48
you've
14:48
been
14:48
talking
14:48
about,
14:49
what
14:49
is
14:49
it
14:50
specifically?
14:51
So
14:51
we
14:52
have
14:52
to
14:52
start
14:52
on
14:53
actually
14:53
the
14:54
value
14:54
that
14:55
we're
14:55
selling
14:55
through
14:56
and
14:56
gear
14:56
it
14:57
kind
14:57
of
14:57
backwards
14:58
to
14:58
the
14:58
problem
14:58
and
14:59
the
14:59
cost
14:59
and
14:59
the
14:59
dollars
15:00
that
15:00
are
15:00
going
15:00
into
15:01
to
15:01
the
15:01
problem.
15:03
We
15:03
match
15:03
that
15:04
up
15:04
with
15:04
the
15:04
value
15:05
of
15:05
the
15:05
tech
15:05
and
15:05
then
15:06
we
15:06
start
15:06
to
15:06
build
15:07
the
15:07
ROI
15:08
storyline
15:08
behind
15:09
that.
15:10
What
15:10
we've
15:11
seen
15:11
is
15:11
we've
15:12
broken
15:12
it
15:12
down
15:12
basically
15:13
into
15:13
five
15:13
categories
15:14
and
15:14
they
15:14
go
15:14
hand
15:15
in
15:15
hand.
15:15
Two
15:15
of
15:16
them
15:16
are
15:17
basically
15:17
hugging.
15:18
I
15:18
wouldn't
15:18
even
15:18
say
15:18
they're.
15:19
It's
15:19
a
15:19
handshake.
15:20
It's.
15:20
It's
15:20
the
15:21
ability
15:21
to
15:22
understand
15:22
when
15:23
a
15:23
shipment
15:23
is
15:23
leaving
15:24
and
15:24
a
15:25
shipment
15:25
is
15:25
received.
15:26
So
15:26
those
15:26
are
15:26
hand
15:26
in
15:27
hand.
15:27
It's
15:28
your
15:28
ability
15:28
to
15:29
automate
15:29
and
15:30
count
15:31
within
15:31
a
15:31
zone
15:32
or
15:32
a
15:32
set
15:33
location
15:33
what
15:34
we
15:34
call
15:34
automated
15:35
cycle
15:35
counts,
15:35
inventory
15:36
counts.
15:37
It's
15:37
your
15:37
ability
15:38
to
15:38
have
15:38
visibility
15:39
on
15:39
any
15:40
kind
15:40
of
15:40
reusable
15:41
asset
15:41
that's
15:42
in
15:42
your
15:42
facility.
15:42
So
15:43
think
15:43
about
15:44
plastic
15:45
crates,
15:46
roll
15:46
cages
15:46
that
15:47
transport
15:48
different
15:49
cases,
15:49
cartons,
15:50
packages
15:51
within
15:51
a
15:52
facility
15:52
or
15:52
between
15:52
facilities,
15:53
tracking
15:54
the
15:54
assets
15:54
specifically
15:55
that
15:55
have
15:56
additional
15:56
smaller
15:57
assets
15:57
within
15:57
them.
15:58
And
15:58
then
15:58
the
15:58
last
15:59
component
15:59
is
16:00
that
16:01
the
16:01
condition
16:02
monitoring
16:02
freshness
16:03
topic,
16:03
which
16:03
is
16:04
really
16:04
around
16:04
temperature
16:05
monitoring
16:05
today.
16:06
And
16:06
of
16:06
course
16:06
we
16:06
can
16:06
do
16:07
humidity,
16:07
get
16:07
exposure
16:08
to
16:08
light,
16:08
all
16:09
that.
16:09
But
16:09
temperature
16:10
is
16:10
the
16:10
core
16:11
foundational
16:12
point.
16:12
So
16:12
from
16:13
these
16:13
five
16:14
solution
16:14
sets
16:15
we
16:15
are
16:16
starting
16:16
to
16:16
see
16:17
recurring
16:18
problem
16:18
patterns
16:19
that
16:19
have
16:19
costs
16:20
associated
16:21
to
16:21
them.
16:22
And
16:22
then
16:22
from
16:23
there
16:23
we
16:23
can
16:23
back
16:24
into
16:24
one
16:24
of
16:24
the
16:24
solution
16:25
sets
16:25
and
16:25
then
16:26
start
16:26
to
16:26
drive
16:26
an
16:27
ROI
16:27
behind
16:27
the
16:28
investment
16:28
that
16:30
the
16:30
organizations
16:31
are
16:31
making
16:31
and
16:32
then
16:32
the
16:32
time
16:32
that
16:33
they're
16:33
going
16:33
to
16:33
realize
16:33
the
16:33
ROI
16:34
behind
16:34
that
16:35
investment.
16:36
Got
16:36
it.
16:36
So
16:37
it's
16:37
about
16:37
having
16:37
the
16:38
framework
16:38
and
16:38
something
16:39
you've
16:39
got
16:39
to
16:39
fight
16:39
the
16:39
framework
16:40
of
16:40
where
16:40
the
16:41
operational
16:41
issues
16:42
are
16:42
and
16:43
where
16:43
they
16:43
can
16:43
best
16:43
be
16:44
attacked.
16:44
So,
16:45
so
16:45
Kay
16:45
then,
16:45
from
16:46
a
16:46
connectivity
16:46
standpoint,
16:48
why
16:48
is
16:49
physical
16:49
world
16:50
sensing
16:50
at
16:51
scale
16:51
so
16:51
hard
16:52
and
16:53
are
16:53
there
16:53
infrastructure
16:54
requirements
16:55
that
16:55
people
16:55
are,
16:56
that
16:56
people
16:56
have
16:57
traditionally
16:57
underestimated,
16:58
that
16:58
there's
16:59
now
16:59
a
16:59
new
16:59
punchline
17:00
to
17:00
the
17:00
joke,
17:00
so
17:00
to
17:01
speak?
17:01
Well,
17:02
I,
17:03
from
17:03
experience
17:03
I
17:04
know
17:04
that
17:04
retailers
17:05
IT
17:06
teams
17:06
do
17:06
not
17:07
typically
17:08
have
17:08
excess
17:08
resources.
17:09
I
17:10
came
17:10
from
17:10
retail
17:11
and
17:11
it
17:11
was,
17:12
yeah,
17:13
so
17:14
it's,
17:15
if
17:16
it's
17:16
something
17:16
that
17:16
you're,
17:17
the
17:17
company
17:17
is
17:18
relying
17:19
on
17:19
for
17:19
your
17:20
business
17:20
operations
17:21
and
17:21
ultimately
17:22
for
17:22
sales,
17:23
knowing
17:23
where
17:23
your
17:23
products
17:24
are,
17:25
it
17:25
just,
17:25
it
17:26
takes
17:26
more
17:26
than
17:27
just
17:27
connecting
17:27
devices,
17:28
although
17:28
that's
17:29
very
17:29
important.
17:30
The
17:30
reliable
17:31
coverage,
17:32
the
17:32
secure
17:33
data
17:33
transportation,
17:35
the
17:35
tools
17:35
to
17:36
manage
17:36
those
17:37
devices,
17:37
networks
17:38
and
17:38
support
17:39
are
17:39
very
17:39
important
17:40
and
17:41
they
17:41
really
17:41
can
17:41
facilitate
17:43
the
17:44
deployment
17:44
at
17:44
scale.
17:45
If
17:45
you
17:46
don't
17:46
have
17:46
those
17:46
tools
17:47
and
17:47
support
17:48
available,
17:49
it
17:49
makes
17:49
it
17:49
very
17:50
difficult
17:51
to
17:51
work
17:52
consistently
17:53
across
17:54
real
17:54
world
17:55
environments
17:56
in
17:56
retail.
17:57
Yeah,
17:58
that's
17:58
a
17:58
great
17:58
point.
17:58
I
17:58
mean
17:58
people,
17:59
I
17:59
think
17:59
people
17:59
that
18:00
haven't
18:00
been
18:00
in
18:00
retail
18:00
underestimate
18:01
the
18:01
complex
18:02
complexity
18:02
that's
18:02
involved
18:03
and
18:03
just
18:03
how
18:03
many
18:03
different
18:04
touch
18:04
points
18:04
there
18:04
are
18:05
between
18:06
so
18:06
many
18:06
different
18:07
constituencies
18:08
in
18:08
the
18:08
process,
18:08
let
18:08
alone
18:09
the
18:09
customers
18:09
that
18:09
are
18:09
involved
18:10
in
18:10
the
18:10
process
18:10
too.
18:11
So
18:11
Amir,
18:12
you
18:13
mentioned
18:13
the
18:13
five,
18:13
you
18:13
mentioned
18:14
the
18:14
five
18:14
buckets.
18:14
Then
18:15
can,
18:16
are
18:16
we
18:16
at
18:16
a
18:16
point
18:16
where
18:17
we
18:17
could
18:17
put
18:17
a
18:17
dollar
18:17
figure
18:18
on
18:18
the
18:18
problem?
18:19
Like
18:19
maybe
18:19
even,
18:20
you
18:20
know,
18:20
look
18:20
at
18:20
some
18:21
of
18:21
those
18:21
individually.
18:21
Like
18:22
what
18:22
does,
18:23
let's
18:24
start
18:24
at
18:24
a
18:24
high
18:24
level
18:25
first.
18:25
What
18:25
does
18:26
poor
18:26
supply
18:26
chain
18:27
visibility
18:28
actually
18:28
cost
18:28
a
18:29
mid
18:29
to
18:29
large
18:30
scale
18:30
retailer
18:31
annually?
18:32
Well,
18:32
I
18:33
think
18:33
you
18:33
have,
18:33
you
18:33
have
18:34
some
18:35
variability
18:35
here
18:36
because
18:36
you
18:36
look
18:36
at
18:36
the
18:36
types
18:37
of
18:37
items
18:37
that
18:38
each
18:38
retailer
18:39
might
18:39
have.
18:40
Even
18:40
if
18:40
you
18:41
break
18:41
it
18:41
down
18:41
to
18:41
like
18:42
a
18:42
grocer
18:43
that's
18:43
working
18:44
with
18:44
handful
18:45
of
18:45
different
18:46
sources
18:47
of
18:47
how
18:47
they're
18:47
getting
18:48
their
18:48
product,
18:48
vegetables
18:49
or
18:49
have
18:49
a
18:49
different
18:49
type
18:50
of
18:50
loss
18:50
on
18:50
a
18:50
truck
18:51
than
18:51
a,
18:51
than
18:52
steaks
18:52
do,
18:52
for
18:52
example.
18:53
We've,
18:54
we've
18:54
looked
18:54
at,
18:55
at
18:55
high
18:55
level
18:56
averages
18:57
and
18:58
something
18:58
in
18:58
the
18:58
sorts
18:59
of
19:01
mid
19:01
200
19:02
millions
19:03
is
19:03
a
19:03
reality
19:04
in
19:04
loss.
19:05
When,
19:05
when
19:06
you
19:06
look
19:06
at
19:06
items
19:07
that
19:07
potentially
19:08
are
19:08
misrouted,
19:10
a
19:11
byproduct
19:11
of
19:12
that
19:12
misrouting
19:13
is
19:13
items
19:13
that
19:14
then
19:14
go
19:14
through
19:14
volatility
19:16
with
19:16
temperature
19:17
and
19:17
spoil.
19:18
The
19:18
other
19:18
factor
19:19
that
19:19
we've
19:19
seen
19:19
through
19:20
this
19:20
equation
19:20
is
19:21
dwell
19:21
time.
19:22
So
19:22
let's
19:23
take
19:23
that
19:23
same
19:23
example.
19:24
Whatever
19:25
that
19:25
item
19:25
might
19:25
be,
19:26
and
19:26
it
19:26
ends
19:27
up
19:27
at
19:27
a
19:27
dock
19:28
door
19:28
and
19:28
it
19:29
doesn't
19:29
go
19:29
to
19:29
refrigeration
19:30
or
19:30
a
19:31
freezer
19:31
in
19:32
a
19:32
point
19:32
in
19:32
time.
19:33
We're
19:34
averaging
19:34
numbers
19:35
in
19:35
the
19:35
mid
19:36
30
19:36
minute
19:36
ranges.
19:39
You
19:40
are
19:40
now
19:40
exposed
19:41
to
19:41
that
19:41
dwell
19:42
time
19:42
issue.
19:42
And
19:43
then
19:43
ultimately
19:43
it's
19:43
spoilage.
19:45
So
19:46
it's
19:46
a
19:46
pretty
19:46
significant
19:47
number
19:48
when
19:48
you
19:49
just
19:49
average
19:49
it
19:49
out.
19:49
And
19:50
these
19:50
are
19:50
not
19:50
just
19:51
specifically
19:51
on
19:52
the
19:52
higher
19:52
end
19:52
of
19:53
products.
19:53
If
19:54
you
19:54
take
19:54
it
19:54
to
19:54
the
19:54
higher
19:55
value
19:56
end,
19:56
with
19:57
let's
19:57
say
19:57
the
19:58
stakes
19:58
of
19:58
the
19:58
world
19:59
focused
19:59
on
19:59
those,
20:00
you
20:01
will
20:01
start
20:01
to
20:02
see
20:02
even
20:02
higher
20:02
numbers.
20:03
So
20:04
for
20:04
us
20:04
to
20:05
start
20:06
with
20:06
that
20:06
type
20:06
of
20:07
nine
20:08
figure
20:08
number
20:09
and
20:09
then
20:09
work
20:09
backwards
20:10
with
20:10
a
20:10
solution
20:11
that
20:11
has
20:12
minimal
20:12
infrastructure
20:13
costs,
20:13
you
20:14
start
20:14
to
20:14
see
20:14
the
20:14
ROI
20:15
much
20:15
quicker
20:16
than
20:16
something
20:16
that
20:17
you're
20:17
getting
20:17
into
20:18
that
20:18
requires
20:19
heavy
20:19
levels
20:20
of
20:20
infrastructure
20:21
investment.
20:23
And
20:23
then
20:23
maybe
20:23
even
20:24
a
20:24
shortcoming
20:25
on
20:25
the
20:25
technology
20:25
stack.
20:26
Let's
20:26
say
20:26
you
20:26
can't
20:26
do
20:27
the
20:27
sensing
20:27
or
20:28
you're
20:28
dependent
20:28
on
20:29
some
20:29
level
20:29
of
20:29
cameras
20:30
to
20:31
triangulate
20:32
where
20:32
items
20:32
are
20:32
within
20:33
a
20:33
facility.
20:35
You
20:35
don't
20:35
get
20:35
the
20:35
same
20:35
outcome
20:36
with
20:36
the
20:36
full
20:37
technology
20:37
stack
20:38
that
20:38
we
20:38
offer.
20:39
Right.
20:40
Is
20:40
the
20:41
bulk
20:41
of
20:41
it
20:41
then
20:42
waste
20:42
and
20:42
spoilage,
20:43
is
20:43
that
20:43
where
20:43
most
20:43
of
20:43
the
20:44
opportunity
20:44
comes
20:45
from?
20:45
In
20:45
the
20:45
examples
20:46
you
20:46
just
20:46
shared,
20:47
when.
20:47
It
20:47
comes
20:48
to
20:48
freshness,
20:48
we
20:49
see
20:50
that
20:50
as
20:50
one
20:50
of
20:50
the
20:50
primary
20:51
drivers
20:53
when
20:53
it
20:53
comes
20:53
to
20:53
any
20:54
kind
20:54
of
20:54
dry
20:55
item,
20:55
which
20:55
also
20:56
then
20:56
translates
20:56
to
20:57
freshness.
20:59
It's
20:59
a
20:59
lot
20:59
around
20:59
misrouting.
21:00
So
21:00
you
21:01
might
21:01
have
21:01
an
21:01
item
21:01
that
21:02
comes
21:02
from
21:03
one
21:03
facility,
21:04
you
21:04
still
21:04
need
21:05
the
21:05
assurance
21:05
that
21:05
it's
21:06
getting
21:06
loaded
21:06
on
21:07
the
21:07
right
21:07
truck
21:08
the
21:08
right
21:08
time.
21:09
And
21:09
if
21:09
it
21:09
isn't,
21:10
you're
21:10
efficiently
21:10
taking
21:11
it
21:11
off
21:11
and
21:11
putting
21:12
it
21:12
through
21:12
the
21:12
right
21:12
dock
21:13
door.
21:13
Many
21:13
of
21:13
these
21:14
facilities,
21:14
they
21:15
have
21:15
anywhere
21:15
in
21:15
the
21:16
ballpark
21:16
of
21:16
50
21:17
to
21:17
100
21:17
dock
21:18
doors
21:18
on
21:18
each
21:18
side
21:18
of
21:18
the
21:19
building.
21:19
And
21:20
when
21:20
you
21:20
look
21:20
at
21:20
the
21:21
type
21:21
of
21:21
volumes
21:22
that
21:22
they're
21:22
pushing
21:22
out
21:23
of
21:23
these
21:23
facilities,
21:24
you
21:24
want
21:24
to
21:24
get
21:25
it
21:25
right.
21:25
And
21:25
if
21:26
somehow
21:26
it's
21:27
not
21:27
right,
21:27
you
21:27
want
21:27
to
21:27
catch
21:28
it
21:28
right
21:28
away,
21:28
pull
21:29
it
21:29
off,
21:29
and
21:29
then
21:29
move
21:30
it
21:30
to
21:30
the
21:30
right
21:30
location
21:33
that
21:33
those
21:33
are
21:33
the
21:33
main
21:34
drivers.
21:34
I
21:34
would
21:34
say
21:35
from
21:35
a,
21:35
from
21:35
a
21:35
cost
21:35
perspective.
21:37
Got
21:37
it.
21:37
Okay,
21:38
so
21:38
then,
21:38
so
21:39
let's
21:39
talk
21:39
about
21:39
the
21:39
before
21:39
and
21:40
after
21:40
then
21:40
like
21:40
so
21:40
let's
21:40
say,
21:41
let's
21:41
say
21:41
I'm
21:41
bought
21:41
into
21:42
this
21:42
and
21:42
I,
21:42
you
21:42
know,
21:42
I've
21:43
got
21:43
continuous
21:44
physical
21:44
AI
21:45
visibility
21:45
into
21:46
my
21:46
supply
21:46
chain
21:46
to
21:46
avoid
21:47
those
21:47
types
21:47
of
21:47
issues
21:48
that
21:48
you
21:48
just
21:48
described.
21:50
How
21:50
does
21:50
my
21:50
day
21:51
to
21:51
day
21:51
operation
21:52
as
21:52
a
21:52
retailer
21:53
overseeing
21:54
my
21:54
inventory
21:55
actually
21:55
change?
21:57
Well,
21:57
it
21:58
becomes
21:58
more
21:58
efficient
21:59
and
21:59
then
21:59
back
21:59
on
22:00
the
22:00
theme
22:00
that
22:00
we
22:00
started
22:01
with,
22:01
it
22:01
becomes
22:02
predictable
22:03
and
22:03
repeatable
22:04
in
22:04
a
22:04
consistent
22:05
way.
22:05
We
22:06
have
22:06
a
22:06
customer
22:06
right
22:06
now
22:08
that
22:09
we're
22:09
working
22:09
very
22:10
close
22:10
with
22:10
with
22:10
the
22:11
collaboration
22:11
with
22:12
AT&T.
22:12
They,
22:13
they
22:13
do
22:14
a
22:14
lot
22:14
of
22:15
asset
22:16
tracking
22:16
on
22:16
their
22:16
roll
22:17
cages.
22:17
So
22:17
one
22:18
of,
22:18
one
22:18
of
22:18
the
22:18
use
22:18
cases
22:19
that
22:19
I
22:19
went
22:19
through
22:21
in
22:21
that
22:21
example,
22:23
you
22:23
want
22:23
to
22:23
know
22:23
where
22:23
the
22:24
assets
22:24
are
22:24
at
22:24
all
22:24
times,
22:25
but
22:25
also
22:25
you
22:25
want
22:26
to
22:26
be
22:26
predictive
22:27
internally
22:28
to
22:28
know
22:28
when
22:28
those
22:29
roll
22:29
cages
22:29
are
22:29
coming
22:30
back
22:30
to
22:30
the
22:30
facility
22:32
so
22:32
that
22:32
you're
22:33
efficient
22:33
in
22:33
your
22:33
operation.
22:34
If
22:34
those
22:34
roll
22:34
cages
22:35
are
22:35
lost
22:35
in
22:35
the
22:36
field,
22:36
if
22:36
they
22:37
don't
22:37
make
22:37
it
22:37
back
22:37
on
22:37
the
22:37
truck
22:38
and
22:38
return
22:38
back
22:38
to
22:39
the
22:39
manufacturing
22:39
site,
22:40
you're
22:40
going
22:41
to
22:41
have
22:41
a
22:41
disruption
22:42
in
22:42
your
22:43
day
22:43
to
22:43
day
22:44
operations
22:44
within
22:45
the
22:45
facility.
22:46
And
22:47
what
22:47
physical
22:48
AI
22:48
is
22:48
creating
22:49
now
22:49
on
22:49
the
22:50
reusable
22:50
side
22:51
is
22:51
the
22:51
ability
22:51
to
22:52
then
22:52
predict
22:52
and
22:53
say
22:53
you
22:53
have
22:53
200
22:54
roll
22:54
cages
22:55
out
22:55
in
22:55
the
22:55
market.
22:56
Their
22:56
planned
22:57
to
22:57
come
22:57
back
22:58
to
22:58
the
22:58
facility
22:58
within
22:59
three
22:59
working
22:59
days.
23:00
If
23:01
they're
23:01
not
23:01
back
23:02
at
23:02
the
23:02
facility,
23:02
we're
23:03
gonna
23:03
have
23:03
this
23:03
level
23:03
of
23:04
downtime
23:04
because
23:04
we
23:04
have
23:05
to
23:05
push
23:05
around
23:05
this
23:05
many
23:06
products
23:06
into
23:07
this
23:07
many
23:07
trucks
23:08
and
23:08
then
23:08
repeat
23:09
the
23:09
process.
23:10
So
23:11
that
23:11
level
23:11
of
23:11
visibility,
23:12
it
23:12
not
23:12
only
23:13
helps
23:13
with
23:13
the
23:14
supply
23:14
chain
23:14
overall,
23:14
but
23:15
it
23:15
helps
23:15
with
23:16
day
23:16
to
23:16
day
23:16
business
23:16
operation.
23:18
And
23:18
any
23:18
operator
23:19
within
23:19
the
23:19
facility
23:20
is
23:20
gonna
23:21
be
23:21
dependent
23:21
on
23:21
that
23:21
information
23:22
so
23:23
that
23:23
in
23:23
an
23:23
accurate
23:24
way
23:24
they
23:24
can
23:25
plan
23:25
their
23:25
day.
23:25
And
23:26
how
23:26
the
23:26
facility
23:27
operates,
23:29
it
23:29
also.
23:29
Changes
23:30
just
23:30
how
23:30
you're
23:30
managing
23:30
the
23:31
business
23:31
too.
23:31
Right.
23:31
It
23:32
takes
23:32
you
23:32
from
23:32
a
23:32
react
23:33
because
23:33
what
23:34
you're
23:34
describing
23:34
is
23:34
100%
23:35
a
23:35
reactive
23:36
state
23:36
most
23:36
of
23:36
the
23:37
time.
23:37
Whereas
23:37
now
23:37
you
23:37
can
23:37
actually
23:38
become
23:38
proactive
23:39
to
23:39
identify
23:39
the
23:39
problems
23:40
in
23:40
advance.
23:41
Absolutely.
23:41
And
23:41
that's
23:42
where
23:42
the
23:42
value
23:42
of
23:42
the
23:42
data
23:43
ingestion
23:43
comes
23:43
in,
23:44
coupled
23:44
with
23:45
the
23:45
AI
23:45
component.
23:46
So
23:46
you
23:47
can
23:47
take
23:47
on
23:47
more
23:48
data
23:48
and
23:48
then
23:48
you
23:48
can
23:49
start
23:49
to
23:49
predict
23:49
these
23:50
things
23:50
before
23:51
they
23:51
become
23:51
problematic.
23:52
Okay,
23:53
so
23:53
that,
23:53
that
23:53
makes
23:53
sense
23:53
to
23:54
me.
23:54
But
23:54
you
23:54
know,
23:54
but
23:54
by
23:55
the
23:55
same
23:55
token,
23:55
I've
23:55
heard
23:56
the
23:56
phrase
23:56
continuous
23:57
visibility,
23:58
you
23:58
know,
23:58
for
23:58
years.
23:59
Like
23:59
I've
23:59
heard
23:59
it,
23:59
it's,
24:00
I
24:00
mean
24:00
at
24:00
least
24:00
I've
24:01
probably
24:01
been
24:01
talking
24:01
about
24:01
it
24:02
for
24:02
10
24:02
years
24:03
and
24:03
it's
24:03
always
24:03
great
24:04
in
24:04
a
24:04
PowerPoint
24:04
deck.
24:05
But
24:05
the
24:05
proof
24:05
is
24:05
in
24:05
the
24:06
pudding.
24:06
When
24:06
you
24:06
start
24:06
getting
24:06
down
24:07
to
24:07
specific
24:07
use
24:07
cases
24:08
as
24:08
we've
24:08
started
24:08
to
24:08
get
24:09
into.
24:09
So
24:09
I
24:10
want
24:10
to
24:10
go.
24:10
I
24:10
want
24:10
to
24:10
keep
24:10
going
24:11
deeper
24:11
on
24:11
this,
24:11
Amir,
24:12
if
24:12
you'll.
24:12
If
24:12
you'll
24:12
indulge
24:13
me.
24:13
So
24:14
let's
24:15
start
24:15
with
24:15
inventory
24:15
accuracy.
24:16
Let's
24:16
get
24:16
really
24:16
deep
24:17
into
24:17
inventory
24:17
accuracy.
24:18
How
24:18
does
24:19
physical
24:19
AI
24:20
change
24:21
what
24:21
a
24:21
retailer
24:21
knows
24:22
about
24:22
their
24:22
inventory
24:23
and
24:23
what
24:23
they
24:23
can
24:24
do
24:24
with
24:24
that
24:24
information
24:24
that
24:25
they
24:25
couldn't
24:25
do
24:26
you
24:26
before?
24:28
So
24:29
there's.
24:29
There's
24:29
a
24:29
couple
24:30
aspects
24:30
to
24:30
this.
24:30
So
24:31
when
24:31
you
24:31
look
24:31
at
24:31
inventory
24:32
counts
24:32
and
24:32
the
24:33
visibility
24:33
behind
24:34
it,
24:34
one
24:35
within.
24:35
Let's
24:35
start
24:36
with
24:36
the
24:36
example
24:37
in
24:37
the
24:37
facility.
24:37
Then
24:38
we
24:38
can
24:38
move
24:38
to
24:38
the
24:39
example
24:39
of
24:39
something
24:39
in
24:40
transit,
24:40
because
24:41
both
24:41
of
24:41
them
24:41
are
24:42
equally
24:42
as
24:42
important.
24:43
And
24:43
then
24:44
one,
24:44
one
24:44
of
24:44
them,
24:45
the
24:45
latter
24:45
didn't
24:45
even
24:46
exist.
24:46
When
24:46
you
24:46
look
24:46
at
24:47
what
24:47
it
24:47
takes
24:48
to
24:48
scale
24:48
up
24:48
and
24:49
support
24:49
that
24:50
from
24:50
a
24:51
inventory
24:51
perspective
24:52
within
24:52
a
24:53
facility,
24:54
with
24:54
the
24:54
read
24:55
ranges
24:55
that
24:55
we're
24:55
getting
24:56
right
24:56
now,
24:56
which
24:56
are
24:57
about
24:57
three
24:57
times
24:57
what
24:58
you
24:58
get
24:58
with
24:58
standardized
24:59
rfid
25:00
and
25:01
with
25:01
barcodes,
25:02
it's
25:02
much
25:02
less
25:03
because
25:03
you
25:03
have
25:03
to
25:03
have
25:04
the
25:04
actual
25:04
line
25:04
of
25:05
sight
25:05
to
25:05
read
25:05
the
25:06
barcode.
25:06
You're
25:07
getting
25:07
longer
25:07
read
25:08
ranges
25:08
to
25:09
outfit
25:09
a
25:10
zone
25:10
you're
25:11
looking
25:11
at
25:11
anywhere
25:12
in
25:12
a
25:12
ballpark.
25:13
You
25:13
can
25:13
go
25:14
from
25:14
a
25:14
very
25:15
simple
25:15
device
25:18
into
25:18
the
25:19
mid-50s,
25:19
maybe
25:20
less,
25:21
into
25:21
a
25:21
more
25:22
complex
25:23
device
25:24
that
25:24
has
25:24
all
25:25
the
25:25
network
25:25
components
25:26
and
25:26
everything
25:26
built
25:27
in,
25:27
maybe
25:27
for
25:28
a
25:28
few
25:28
hundred
25:28
dollars.
25:29
So
25:30
you
25:30
couple
25:30
all
25:30
that
25:31
in
25:31
and
25:32
compare
25:32
it
25:32
to
25:32
where
25:32
it
25:33
is,
25:33
almost
25:33
10
25:33
to
25:34
15
25:34
times
25:34
the
25:35
cost.
25:35
With
25:35
RFID,
25:36
you
25:37
can
25:37
outfit
25:37
these
25:38
devices
25:38
all
25:38
over
25:38
a
25:39
facility.
25:39
You're
25:40
getting
25:40
three
25:40
times
25:41
the
25:41
read
25:41
range,
25:41
and
25:42
you're
25:42
getting
25:42
full
25:43
visibility
25:44
within
25:44
the
25:44
facility
25:45
when
25:45
an
25:45
item
25:46
moves
25:46
from
25:46
the
25:46
left
25:46
side
25:47
to
25:47
the
25:47
right
25:47
side
25:48
with
25:48
no
25:48
manual
25:48
intervention.
25:49
So
25:50
the
25:50
visibility
25:51
within
25:51
the
25:51
facility
25:53
is
25:53
something
25:54
that
25:54
is
25:54
realistic,
25:55
it's
25:55
tangible,
25:56
and
25:58
it's
25:58
completely
25:59
reduced
25:59
from
25:59
error
26:00
because
26:00
there's
26:01
no
26:01
manual
26:01
intervention
26:02
behind
26:02
it.
26:03
Now
26:03
you
26:03
take
26:03
that
26:04
same
26:04
inventory
26:05
that
26:05
now
26:05
you
26:06
can
26:06
pinpoint
26:07
within
26:07
anywhere
26:08
in
26:08
the
26:08
facility.
26:09
When
26:09
it
26:09
starts
26:10
to
26:10
move
26:10
from
26:12
the
26:12
back
26:12
of
26:12
the
26:13
facility
26:13
to
26:13
a
26:13
staging
26:14
site
26:14
to
26:14
a
26:15
doctor,
26:15
you
26:16
have
26:16
visibility
26:16
on
26:17
where
26:17
that
26:17
item
26:18
is
26:18
staged
26:19
when
26:19
it
26:20
enters
26:20
a
26:20
truck
26:21
and
26:21
leaves
26:22
that
26:22
dock
26:22
door.
26:23
And
26:23
then
26:24
being
26:24
able
26:24
to
26:24
flag
26:24
it
26:25
in
26:25
real
26:25
time
26:25
if
26:26
it
26:26
goes
26:26
to
26:26
the
26:26
wrong
26:27
truck
26:27
and
26:27
then
26:27
move
26:28
it
26:28
back
26:28
and
26:28
then
26:28
put
26:28
it
26:29
in
26:29
the
26:29
right
26:30
truck.
26:31
So
26:32
you're
26:32
not
26:33
losing
26:33
any
26:33
inventory
26:34
within
26:34
your
26:34
facility.
26:35
And
26:35
you're
26:36
also
26:36
catching
26:36
things
26:37
predictively
26:37
before
26:38
they
26:38
go
26:38
in
26:38
transit.
26:40
And
26:40
then
26:40
if
26:40
you
26:40
take
26:41
that
26:41
same
26:41
example
26:42
with
26:42
the
26:43
very
26:43
limited
26:43
lift
26:44
on
26:44
the
26:44
infrastructure
26:45
and
26:45
you
26:45
place
26:46
it
26:46
on
26:46
a
26:47
truck,
26:48
now
26:48
you're
26:48
able
26:49
While
26:49
an
26:49
item
26:50
is
26:50
in
26:50
transit
26:51
to
26:51
be
26:51
able
26:51
to
26:52
get
26:52
visibility
26:53
on
26:53
where
26:53
the
26:53
item
26:54
is
26:54
at
26:54
all
26:54
times.
26:55
You
26:55
can
26:55
couple
26:56
that
26:56
with
26:56
the
26:57
telematics
26:58
of
26:58
many
26:59
of
26:59
the
26:59
organizations
27:00
that
27:00
are
27:00
out
27:00
there.
27:01
And
27:01
then
27:01
with
27:02
a
27:02
reliable
27:02
network,
27:03
you
27:03
can
27:03
get
27:03
all
27:04
the
27:04
information,
27:04
real
27:05
time,
27:05
of
27:05
where
27:05
the
27:05
assets
27:06
are
27:06
and
27:07
what
27:07
state
27:07
they're
27:07
in.
27:08
So
27:08
it's
27:08
more
27:08
than
27:09
just
27:10
this
27:10
asset
27:10
is
27:11
on
27:11
this
27:11
truck.
27:12
It's
27:12
how
27:12
are
27:12
all
27:13
of
27:13
these
27:13
assets
27:14
doing
27:14
on
27:14
the
27:14
truck
27:14
and
27:15
how
27:15
is
27:15
the
27:15
condition
27:16
of
27:16
all
27:16
of
27:16
them
27:17
through
27:17
this
27:17
process,
27:18
and
27:19
then
27:19
equally
27:19
when
27:20
they're
27:20
received
27:21
in
27:21
an
27:21
automated
27:22
format,
27:22
you
27:22
know
27:22
when
27:23
it's
27:23
taken
27:23
off
27:23
the
27:24
truck
27:25
and
27:25
you
27:25
know
27:25
when
27:26
it's
27:26
actually
27:26
within
27:26
the
27:27
facility.
27:28
So
27:28
it
27:29
is
27:29
building
27:29
on
27:30
a
27:30
foundation
27:30
of
27:31
historic
27:31
inventory
27:32
visibility.
27:32
It
27:33
went
27:33
through
27:33
this
27:33
door.
27:34
It
27:34
went
27:34
through
27:34
this
27:34
gate,
27:35
and
27:35
I
27:36
know
27:36
it
27:36
went
27:36
through
27:36
there.
27:37
And
27:37
now
27:37
you're
27:38
getting
27:38
full
27:39
visibility
27:40
throughout
27:40
the
27:40
process
27:41
of
27:41
not
27:41
just
27:41
one
27:42
point
27:42
in
27:42
time
27:42
where
27:43
it
27:43
entered
27:43
or
27:44
left
27:44
a
27:45
door.
27:47
Wow,
27:47
that
27:48
was
27:48
really
27:48
well
27:48
said
27:49
and
27:49
really
27:49
well
27:49
articulated.
27:50
It
27:50
actually
27:51
makes
27:51
complete
27:52
sense
27:52
to
27:52
me.
27:52
And
27:52
it's
27:53
kind
27:53
of
27:53
like
27:53
one
27:53
of
27:53
those,
27:53
like,
27:53
yeah,
27:54
why
27:54
wouldn't
27:54
you
27:54
do
27:55
this?
27:55
Why
27:55
wouldn't
27:55
you
27:56
want
27:56
to
27:56
try
27:56
to
27:57
get
27:57
that
27:57
type
27:57
of
27:58
visibility
27:58
that
27:59
you
27:59
just
27:59
described?
28:01
All
28:01
right,
28:01
so
28:01
you've
28:01
mentioned
28:02
it
28:02
a
28:02
couple
28:02
times,
28:02
and
28:03
I
28:03
want
28:03
to
28:03
click
28:03
into
28:03
this
28:04
one,
28:04
too.
28:04
Freshness
28:05
and
28:05
food
28:05
safety,
28:06
you
28:06
know,
28:07
we
28:07
talked
28:07
about
28:08
already,
28:08
like
28:08
waste
28:08
spoilage,
28:09
huge
28:09
opportunity.
28:11
Walk
28:12
me
28:12
through
28:13
what,
28:13
what
28:14
the
28:14
technology
28:14
the
28:15
latest
28:15
technologies
28:16
are
28:16
doing
28:16
to
28:17
help
28:17
improve
28:18
temperature
28:18
monitoring
28:19
and
28:19
freshness
28:20
tracking.
28:21
So,
28:22
so
28:22
a
28:22
lot
28:22
of
28:22
this
28:23
is
28:23
built.
28:24
These
28:24
capabilities,
28:25
I
28:25
want
28:25
to
28:26
preface
28:26
it,
28:27
they're
28:27
built
28:27
around
28:27
the
28:27
standards
28:28
and
28:28
the
28:28
compliance
28:29
points
28:30
that
28:30
are
28:30
already
28:30
out
28:30
in
28:31
the
28:31
market.
28:31
So
28:31
when
28:31
you
28:32
look
28:32
at
28:32
right
28:32
now
28:32
what
28:33
the
28:33
FDA
28:33
is
28:33
putting
28:33
out
28:34
with
28:34
Fisma,
28:35
the
28:35
direction
28:35
it's
28:36
going
28:36
over
28:36
the
28:36
next
28:37
12
28:37
to
28:37
18
28:38
months,
28:39
there's
28:39
stringent
28:40
requirements.
28:40
Not
28:40
only
28:40
that
28:41
they're
28:41
putting
28:41
in,
28:41
but
28:42
all
28:42
of
28:42
the
28:42
food
28:43
processors,
28:43
the
28:43
grocers,
28:44
the
28:44
QSRs,
28:45
are
28:45
really
28:46
putting
28:46
as
28:47
a
28:47
baseline
28:48
foundation
28:48
of
28:49
everything
28:49
that
28:49
needs
28:49
to
28:50
be
28:50
put
28:50
in
28:50
place.
28:51
So
28:51
as
28:51
we've
28:51
looked
28:52
at
28:52
the
28:52
technology
28:52
stack
28:53
and
28:53
you
28:53
look
28:53
at
28:54
the
28:54
capabilities
28:54
around
28:55
temperature,
28:55
around
28:55
humidity,
28:58
we,
28:58
we
28:58
want
28:58
to
28:58
make
28:59
sure
28:59
we're
28:59
abiding
29:00
by
29:00
that
29:00
direction,
29:01
so
29:01
we're
29:01
following
29:02
the
29:02
standards.
29:03
And
29:03
at
29:03
the
29:03
same
29:04
time,
29:04
when
29:04
you're
29:05
able
29:05
to
29:05
get
29:05
visibility
29:06
and
29:07
information
29:07
on
29:08
the
29:08
asset
29:08
and
29:08
you
29:08
go
29:08
into
29:09
the
29:09
platform,
29:10
we're
29:10
hitting
29:10
all
29:10
the
29:11
check
29:11
marks
29:11
that,
29:11
that
29:12
you
29:12
would
29:12
be
29:12
looking
29:12
at
29:13
from
29:13
a
29:13
compliance
29:13
standpoint
29:14
on
29:14
anything
29:15
that's
29:15
a
29:15
perishable.
29:16
So
29:17
tying
29:17
it
29:17
now
29:18
back
29:18
to
29:18
the
29:19
capabilities,
29:20
everything
29:20
that
29:21
we
29:21
went
29:21
through
29:21
on
29:21
the
29:21
inventory
29:22
side,
29:23
you
29:23
can
29:23
absolutely
29:23
do
29:24
with
29:24
the
29:25
sensing
29:25
capability
29:26
as
29:26
well.
29:27
The
29:27
question
29:27
is,
29:28
what
29:28
are
29:28
the
29:28
items
29:29
and
29:29
the
29:29
requirements
29:30
behind
29:30
them?
29:30
If
29:30
it's
29:31
a
29:31
dry
29:31
item,
29:32
if
29:32
it's
29:32
a
29:33
package
29:33
of,
29:36
let's
29:36
say,
29:36
any
29:36
kind
29:37
of
29:38
retail
29:39
item,
29:39
shoes,
29:40
garments,
29:41
different
29:41
things,
29:42
you're
29:42
not
29:42
going
29:42
to
29:42
need
29:43
the
29:43
condition
29:43
they're
29:43
in
29:44
unless
29:44
something
29:44
drastic
29:45
is
29:45
happening
29:46
and
29:46
there's
29:47
liquid
29:47
involved
29:48
and
29:48
humidity
29:49
and
29:49
then
29:49
there
29:49
could
29:49
be
29:50
mold.
29:50
So
29:50
maybe
29:50
you
29:51
want
29:51
some
29:51
metrics
29:51
of
29:51
the
29:52
temperature
29:52
and
29:52
the
29:53
state
29:53
of
29:53
that,
29:54
that
29:55
truck
29:56
and
29:56
the
29:57
position
29:57
it's
29:58
been
29:59
angled
29:59
in.
30:00
But
30:00
if
30:01
it's
30:01
not
30:01
in
30:02
that
30:02
state
30:03
and
30:03
it's
30:03
just
30:04
a
30:04
dry
30:04
item,
30:05
the
30:05
inventory
30:06
use
30:06
case
30:06
and
30:07
the
30:07
visibility
30:07
through
30:08
the
30:08
process
30:08
is
30:09
enough.
30:09
If
30:10
you
30:10
get
30:10
into
30:10
any
30:11
kind
30:11
of
30:11
perishable,
30:12
you
30:12
want
30:12
to
30:12
couple
30:13
the
30:13
inventory
30:14
use
30:14
case
30:14
with
30:15
the
30:16
temperature
30:16
and
30:17
humidity,
30:17
the
30:17
condition
30:18
that
30:18
it's
30:18
in.
30:19
And
30:19
that's
30:19
what
30:19
we're
30:20
really
30:20
basing
30:20
the,
30:21
the
30:21
freshness
30:21
topic
30:22
around.
30:23
Right.
30:23
And
30:24
the
30:24
other
30:24
point,
30:25
I
30:25
gotta
30:25
think
30:25
the
30:25
other
30:25
important
30:26
part
30:27
of
30:27
this
30:27
too,
30:27
Amir,
30:28
is
30:28
like
30:28
you
30:28
actually
30:29
have
30:29
a
30:29
realistic
30:30
record
30:30
of
30:30
what's
30:31
happening
30:31
right
30:31
now
30:32
because
30:33
you
30:33
know,
30:33
and
30:33
you
30:33
can
30:33
trace
30:34
it
30:34
back
30:34
too,
30:35
which
30:35
is
30:35
important
30:35
with
30:36
all
30:36
the
30:36
regulations
30:36
coming.
30:37
Like
30:37
right
30:37
now,
30:37
you
30:37
just
30:38
kind
30:38
retailers
30:39
and
30:39
grocers
30:39
only
30:40
know
30:40
what
30:40
they
30:40
know
30:41
in
30:41
a
30:41
lot
30:41
of
30:41
ways.
30:42
And
30:42
that's
30:42
not
30:42
always
30:43
that
30:43
much
30:43
information
30:44
when
30:44
it
30:44
comes
30:45
to
30:45
understanding
30:46
how
30:47
an
30:47
item
30:47
has
30:47
been
30:47
kept
30:48
in
30:48
temp
30:48
throughout
30:49
the
30:49
entire
30:49
supply
30:50
chain
30:50
process.
30:51
Yeah,
30:52
we
30:52
want
30:52
to
30:52
be
30:52
a
30:52
source
30:53
of
30:53
truth
30:53
in
30:54
everything
30:54
that
30:54
we
30:54
do.
30:54
So
30:55
that's
30:55
the
30:56
value
30:56
that
30:57
and
30:57
the
30:57
value
30:57
of
30:58
this
30:58
collaboration
30:58
is
30:59
that
30:59
we
30:59
have
30:59
a
30:59
reliable
31:01
partnership.
31:02
So
31:02
when
31:02
we
31:03
look
31:03
at
31:03
how
31:03
data
31:04
is
31:04
transmitted,
31:06
there's
31:06
no
31:06
downtime.
31:07
We're
31:07
working
31:08
with
31:08
a
31:08
very
31:09
credible
31:11
partner
31:11
in
31:12
this
31:12
ecosystem.
31:12
But
31:13
then
31:13
on
31:13
the
31:13
other
31:13
side
31:14
of
31:14
it
31:14
is
31:14
that
31:15
when
31:15
you
31:15
do
31:16
get
31:16
that
31:16
data
31:17
in
31:17
a
31:17
reliable
31:17
format,
31:18
that
31:19
ledger
31:19
with
31:19
all
31:20
of
31:20
the
31:20
different
31:20
records,
31:21
product
31:21
provenance,
31:22
where
31:22
it
31:22
came
31:23
from,
31:23
all
31:23
the
31:24
different
31:24
nodes
31:25
as
31:25
it
31:25
went
31:25
through
31:26
the
31:26
process,
31:26
and
31:26
then
31:27
being
31:27
able
31:27
to
31:27
just
31:27
triangulate
31:28
that
31:28
to
31:29
a
31:29
single
31:29
source,
31:30
that
31:30
gives
31:30
you
31:30
all
31:31
the
31:31
reporting
31:32
that
31:33
that's
31:34
so
31:34
valuable.
31:35
And
31:35
when
31:36
you
31:36
take
31:36
it
31:36
even
31:36
one
31:37
step
31:37
further,
31:37
there's
31:38
some
31:38
other
31:38
mandates
31:39
right
31:39
now
31:39
that
31:40
are
31:40
in
31:40
play
31:40
over
31:41
the
31:41
next
31:42
about
31:42
five
31:42
years
31:43
called
31:43
digital
31:43
product
31:44
Passport
31:44
out
31:44
of
31:45
the
31:45
eu.
31:46
You
31:46
have
31:46
to
31:46
be
31:46
able
31:47
to
31:47
trace
31:47
an
31:47
item
31:48
all
31:48
the
31:48
way
31:48
back
31:48
to
31:49
the
31:49
source.
31:49
You
31:50
can't
31:50
just
31:50
stop,
31:51
you
31:51
know,
31:51
from
31:52
the
31:52
last
31:52
location
31:53
that
31:53
it's
31:53
been
31:53
in.
31:54
So
31:54
whether
31:54
it
31:55
is
31:55
a
31:55
perishable
31:56
or
31:56
it's
31:56
just
31:56
our
31:57
example
31:57
of
31:57
building
31:58
on
31:58
where
31:58
the
31:58
foundation
31:59
of
31:59
just
31:59
standard
31:59
inventory
32:00
is
32:00
that
32:00
doesn't
32:01
require
32:01
any
32:01
kind
32:02
of
32:02
freshness
32:02
tracking.
32:03
You
32:03
still
32:03
need
32:04
the
32:04
product
32:04
provenance
32:05
and
32:05
you
32:05
gotta
32:05
prove
32:06
that
32:06
it's
32:06
going
32:06
through
32:06
the
32:07
process.
32:08
So
32:08
we're,
32:09
we're
32:09
proud
32:09
to
32:09
say
32:10
that
32:10
being
32:10
able
32:10
to
32:11
get
32:11
that
32:11
level
32:11
of
32:11
visibility,
32:12
you
32:12
could
32:12
be
32:12
the,
32:13
the
32:13
using
32:14
that
32:14
as
32:14
your
32:14
source
32:15
of
32:15
truth
32:15
around
32:15
the
32:16
compliance
32:16
side.
32:17
Yeah,
32:17
that's
32:17
a
32:18
great,
32:18
that's
32:18
a
32:18
great
32:18
point.
32:18
There's
32:19
a
32:19
whole
32:19
lot
32:19
of
32:19
ancillary
32:20
benefits
32:20
here
32:20
to
32:21
this
32:21
approach.
32:21
And
32:22
K
32:22
Kay's
32:22
been
32:22
waiting
32:23
patiently.
32:23
I
32:23
want
32:23
to
32:23
get
32:23
her
32:23
back
32:23
in
32:24
here.
32:24
But,
32:24
but
32:24
Amir,
32:24
I
32:24
do
32:25
want
32:25
to
32:25
ask
32:25
you
32:25
one
32:25
more
32:25
question
32:25
before
32:26
we
32:26
go
32:26
to
32:26
K,
32:26
because
32:27
I
32:27
think
32:27
this
32:27
is
32:27
important
32:27
too.
32:28
And
32:28
it's
32:28
a,
32:28
it's
32:28
a,
32:29
it's
32:29
a
32:30
topic
32:30
that
32:30
you
32:30
actually
32:30
haven't
32:31
brought
32:31
up
32:31
yet
32:32
really
32:32
overtly
32:33
and
32:33
that
32:33
is
32:34
shrink.
32:34
Either
32:35
shrink
32:35
from
32:36
loss
32:36
or
32:36
shrink
32:36
from
32:37
theft.
32:37
Like
32:38
does
32:38
physical
32:38
AI,
32:39
as
32:39
you've
32:39
been
32:39
describing
32:40
it,
32:40
do
32:40
anything
32:41
to
32:41
help
32:41
tackle
32:42
those
32:43
issues?
32:43
And
32:43
if
32:43
so,
32:44
how
32:44
so?
32:45
Absolutely.
32:46
So,
32:46
so
32:46
I
32:46
would
32:47
start
32:48
on
32:48
the
32:48
topic
32:49
before
32:49
we
32:49
go
32:49
to
32:49
the
32:50
back
32:50
of
32:50
store
32:50
and,
32:51
and
32:51
those,
32:53
those
32:53
use
32:53
cases
32:54
that,
32:54
that
32:54
are
32:54
maybe
32:55
a
32:55
little
32:55
bit
32:55
more
32:55
controlled.
32:56
The
32:56
things
32:57
that
32:57
are
32:57
really
32:57
out
32:58
of
32:58
control.
32:58
Many
32:59
times
32:59
is
32:59
when
32:59
you're
33:00
going
33:01
through
33:01
the
33:01
process
33:01
and
33:01
you're
33:02
working
33:02
with
33:02
a
33:02
3
33:02
PL
33:03
or
33:03
you're
33:03
switching
33:04
too
33:04
many
33:04
hands
33:05
with
33:05
an
33:05
item,
33:05
leaving
33:06
a
33:06
source
33:06
and
33:07
it's,
33:07
it's
33:07
on
33:07
its
33:08
way
33:08
in
33:08
its
33:08
journey
33:09
over
33:09
days,
33:09
weeks,
33:10
whatever
33:10
it
33:10
might
33:10
be
33:11
to,
33:11
to
33:11
an
33:12
end
33:12
destination.
33:13
There's
33:13
a
33:13
lot
33:14
of
33:14
gray
33:14
market
33:14
diversion
33:15
that,
33:15
that
33:16
happens
33:16
through
33:16
these
33:17
processes.
33:17
So
33:17
I
33:17
would
33:18
say
33:18
the
33:18
first
33:18
use
33:18
case
33:19
really
33:19
around
33:19
shrink
33:20
or
33:20
any
33:20
kind
33:20
of
33:20
theft
33:21
is
33:21
really
33:21
having
33:22
the
33:22
visibility
33:22
that
33:23
every
33:23
time
33:23
there's,
33:24
what
33:24
I'm
33:24
calling
33:24
these
33:24
handshakes
33:25
from
33:26
one
33:26
node
33:26
to
33:26
another
33:27
is
33:28
is
33:28
it
33:28
going
33:28
to
33:29
the
33:29
source
33:29
it's
33:29
supposed
33:29
to
33:30
be
33:30
going
33:30
to?
33:31
Can
33:31
we
33:32
be
33:32
the
33:32
stamp
33:32
of
33:32
approval
33:33
showing
33:33
that
33:33
that
33:34
handoff
33:34
was
33:34
made
33:34
in
33:35
an
33:35
automated
33:35
format
33:36
and
33:36
then
33:36
when
33:36
it
33:36
leaves
33:36
that
33:36
node
33:37
and
33:37
goes
33:37
to
33:37
the
33:37
next
33:37
one,
33:38
does
33:38
it
33:38
follow
33:39
that
33:39
sequential
33:39
process?
33:40
And
33:40
if
33:40
anything
33:41
breaks
33:41
down,
33:42
being
33:42
able
33:42
to
33:42
flag
33:43
it,
33:43
send
33:44
the
33:44
event
33:44
trigger
33:45
and
33:45
say
33:45
that
33:46
something
33:46
went
33:46
wrong
33:47
here.
33:47
The
33:47
number
33:47
of
33:47
days
33:48
it
33:48
sat
33:48
idle,
33:49
the
33:49
number
33:50
of
33:50
times
33:50
it
33:50
moved
33:51
around,
33:52
they
33:52
don't
33:53
match
33:53
up
33:53
to
33:54
what
33:54
the
33:54
expectation
33:55
was.
33:55
One,
33:56
one
33:56
step
33:56
further
33:56
is
33:57
really
33:57
our
33:57
light
33:57
detection
33:58
capability.
33:58
So
33:59
we
33:59
could
33:59
put
33:59
these
33:59
tags
34:00
in
34:00
boxes,
34:01
in
34:01
packages,
34:02
if
34:02
those
34:02
are
34:02
ever
34:03
opened
34:03
through
34:04
the
34:04
product's
34:05
life
34:05
cycle,
34:06
through
34:06
its
34:06
journey,
34:07
you
34:07
could
34:07
flag
34:08
that
34:08
and
34:08
say
34:08
there's
34:08
been
34:09
tampering,
34:09
something
34:10
is
34:10
wrong
34:10
there
34:10
through
34:11
the
34:11
process.
34:12
So
34:13
that's
34:13
kind
34:13
of
34:13
step
34:14
one
34:14
and
34:14
then
34:14
step
34:15
two
34:15
to
34:15
address
34:16
the
34:16
shrink
34:16
and
34:16
the
34:16
theft
34:17
topic
34:17
is
34:18
maybe
34:18
it
34:18
went
34:18
through
34:18
its
34:19
journey,
34:20
but
34:20
something
34:20
did
34:21
not
34:21
go
34:21
right
34:22
at
34:22
the
34:22
back
34:22
of
34:22
store
34:23
level.
34:23
And
34:24
if
34:24
something
34:24
was,
34:24
for
34:25
example,
34:25
on
34:26
a
34:26
shelf
34:26
and
34:27
it's
34:27
a
34:27
carton
34:28
and
34:28
it's
34:28
planned
34:29
to
34:29
be
34:29
sold
34:30
and
34:30
somehow
34:30
it's
34:30
opened
34:31
before
34:31
it's
34:31
actually
34:32
sold
34:32
and
34:32
taken
34:33
out,
34:34
that
34:34
event
34:34
trigger
34:35
showing
34:35
that
34:35
that
34:35
package
34:36
maybe
34:36
was
34:36
opened
34:37
in
34:38
the
34:38
facility
34:39
is
34:39
another
34:39
trigger
34:40
that
34:40
something
34:40
has
34:41
gone
34:41
wrong
34:41
through
34:41
the
34:41
process.
34:42
Because
34:42
in
34:42
theory,
34:44
that
34:44
event
34:44
should
34:45
never
34:45
have
34:45
happened
34:45
unless
34:46
a
34:46
customer
34:47
took
34:47
it
34:47
out
34:47
of
34:47
the
34:47
store
34:48
and
34:48
you're
34:48
recognizing
34:49
it
34:49
leaving
34:50
the
34:50
store.
34:51
So
34:51
there's
34:51
a
34:51
couple
34:51
use
34:52
cases
34:52
there,
34:52
but
34:52
I
34:52
would
34:53
say
34:53
there's
34:53
more
34:53
weight
34:54
right
34:54
now
34:54
on
34:55
the
34:55
supply
34:55
chain
34:56
aspect
34:56
of
34:56
it
34:57
being
34:57
able
34:57
to
34:57
track
34:58
the
34:58
item
34:58
through
34:58
the
34:59
process
34:59
and
34:59
make
34:59
sure
34:59
that
35:00
nothing
35:00
goes
35:00
wrong
35:01
through
35:01
its
35:01
journey
35:02
than
35:02
when
35:02
it
35:02
actually
35:02
gets
35:03
to
35:03
the
35:03
back
35:03
of
35:03
store.
35:04
Because
35:04
that's
35:04
the
35:04
last
35:04
node.
35:05
And
35:05
in
35:06
many
35:06
times,
35:06
if
35:06
the
35:06
store
35:07
operation
35:08
has
35:08
processes
35:09
in
35:09
place,
35:10
all
35:10
the
35:11
hard
35:11
part
35:11
is
35:11
done.
35:11
That's
35:12
just
35:12
basically
35:12
a
35:13
point
35:13
of
35:13
sale
35:13
discussion
35:14
to
35:14
just
35:14
position
35:14
the
35:15
product
35:15
and
35:15
push
35:15
it
35:15
out.
35:16
Yeah,
35:17
yeah,
35:17
right.
35:17
I'm
35:18
thinking
35:18
of
35:18
all
35:18
those
35:18
horror
35:18
stories
35:19
I
35:19
hear
35:19
about
35:19
too,
35:19
of
35:19
entire
35:20
trucks
35:20
going
35:20
missing,
35:21
you
35:21
know,
35:21
as
35:21
well,
35:22
because
35:22
that's
35:22
a,
35:22
that's
35:23
a
35:23
big
35:23
opportunity
35:24
and
35:24
a
35:24
big
35:24
loss
35:24
for
35:25
the
35:25
retailers
35:25
too.
35:26
All
35:26
right,
35:26
kay,
35:26
so
35:27
from
35:27
AT&T
35:27
side,
35:28
the
35:28
other
35:28
question
35:28
that's
35:28
pop
35:29
into
35:29
my
35:29
head
35:29
is
35:30
what
35:31
role
35:31
does
35:31
the
35:31
network,
35:32
quote
35:32
unquote,
35:33
play
35:33
in
35:33
enabling
35:34
all
35:34
the
35:34
various
35:34
use
35:35
cases
35:35
that
35:35
Amir
35:35
just
35:36
described?
35:36
Because
35:36
to
35:37
me,
35:37
a
35:37
sensor
35:37
that's,
35:38
that's,
35:38
that's
35:38
not
35:38
connected
35:39
to
35:39
anything
35:39
doesn't
35:40
help
35:40
anyone.
35:41
But
35:41
am
35:41
I
35:41
oversimplifying
35:42
that?
35:43
Well,
35:43
no,
35:43
I,
35:44
I
35:44
agree
35:44
with
35:45
you.
35:45
Because
35:45
back
35:45
in
35:45
the
35:46
day,
35:46
we
35:46
waited
35:47
months
35:47
to
35:47
get
35:48
reports
35:48
and
35:49
information
35:50
and
35:50
try
35:50
to
35:51
make
35:51
observations
35:52
well
35:52
after
35:52
the
35:53
fact.
35:53
Right.
35:54
And
35:54
then
35:55
try
35:55
to
35:56
figure
35:56
out
35:57
what
35:57
had
35:57
happened,
35:58
how
35:58
we
35:59
handled
35:59
that.
36:00
Now,
36:00
the
36:00
network
36:01
sends
36:01
the
36:01
data
36:02
faster
36:03
than
36:03
ever
36:03
from
36:04
wherever,
36:05
anywhere.
36:06
And
36:06
that
36:07
data
36:07
becomes
36:08
much
36:08
more
36:08
useful
36:08
and
36:09
timely
36:10
for
36:10
retailers
36:11
to
36:11
be
36:11
able
36:11
to
36:12
evaluate
36:12
and
36:13
make
36:13
decisions
36:14
quickly.
36:15
So
36:15
connecting
36:16
those
36:16
sensors
36:16
and
36:17
pixels
36:17
across
36:18
locations
36:19
so
36:19
businesses
36:19
can
36:20
see
36:20
what
36:20
is
36:20
happening
36:21
throughout
36:22
their
36:22
operations,
36:23
they're
36:24
able
36:24
to
36:24
act
36:24
on
36:24
it
36:25
faster
36:26
with
36:26
that
36:26
information
36:27
right
36:27
in
36:27
front
36:28
of
36:28
them
36:28
and
36:29
resolve
36:31
most
36:32
of
36:32
those
36:32
issues
36:33
that
36:33
Amir
36:34
was
36:34
just
36:34
going
36:34
through.
36:35
Being
36:35
able
36:36
to
36:36
know
36:37
right
36:37
away
36:37
and
36:38
act
36:38
on
36:38
it
36:38
quickly.
36:40
Yeah,
36:40
and
36:41
that's
36:41
the
36:41
Venn
36:41
diagram
36:42
here
36:42
that
36:42
we're
36:42
talking
36:42
about,
36:43
or
36:43
the
36:43
intersection
36:44
that
36:44
makes
36:44
the
36:44
unique
36:45
relationship
36:45
between
36:46
the
36:46
two
36:46
of
36:46
you
36:46
so
36:46
compelling.
36:47
Because
36:47
I
36:47
think
36:49
Oftentimes,
36:50
most
36:51
of
36:51
us
36:51
in
36:51
the
36:51
pundit
36:51
space
36:52
take
36:52
for
36:52
granted
36:52
the
36:53
actual
36:53
infrastructure
36:54
that
36:54
needs
36:54
to
36:55
exist
36:55
in
36:55
and
36:55
around
36:56
these
36:56
technologies,
36:57
to
36:57
deploy
36:57
them,
36:57
to
36:58
connect
36:58
them,
36:58
to
36:58
monitor
36:59
them,
37:00
to
37:00
maintain
37:00
the
37:01
sensors
37:01
at
37:01
an
37:02
enterprise
37:02
scale
37:03
level.
37:04
That
37:04
gets
37:04
really,
37:05
really
37:05
complicated.
37:06
So,
37:07
Kay,
37:08
I
37:08
want
37:08
you
37:08
to
37:09
break
37:10
that
37:10
all
37:10
down
37:10
for
37:11
me.
37:11
Like
37:11
what
37:11
is
37:11
AT
37:12
and
37:12
T's
37:12
specific
37:13
contribution
37:14
to
37:15
making
37:16
all
37:16
of
37:16
this
37:17
work
37:17
operational?
37:19
Well,
37:19
we
37:20
help
37:20
make
37:20
it
37:21
work
37:21
in
37:21
the
37:21
real
37:21
world
37:22
with
37:22
the
37:23
connectivity
37:24
and
37:24
the
37:24
deployment
37:26
for
37:27
that
37:27
ongoing
37:27
support
37:28
for
37:28
customers
37:28
at
37:29
scale.
37:29
The
37:29
tools
37:30
that
37:30
are
37:31
required
37:32
to
37:32
monitor
37:33
the
37:33
data,
37:34
the
37:34
devices
37:35
remotely
37:36
and
37:36
manage
37:36
them
37:37
at
37:37
scale.
37:38
We
37:38
also
37:38
have
37:39
that
37:39
as
37:39
a
37:39
managed
37:40
service.
37:40
So,
37:41
you
37:41
know,
37:41
we
37:41
take
37:42
that,
37:43
that
37:43
support
37:44
and
37:45
that
37:45
monitoring
37:46
off
37:46
of
37:46
the
37:46
customers
37:47
and
37:47
be
37:48
able
37:48
to
37:48
proactively
37:49
say
37:49
there
37:50
may
37:50
be
37:50
an
37:50
issue
37:51
right
37:51
here.
37:51
So
37:52
we're
37:52
really
37:52
helping
37:53
turn
37:54
this
37:54
promising
37:55
technology
37:55
into
37:56
something
37:56
a
37:56
business
37:57
can
37:57
actually
37:57
run
37:58
day
37:58
to
37:58
day.
37:59
So
37:59
Kate,
37:59
what
37:59
does
37:59
that
38:00
actually
38:00
look
38:00
like?
38:00
So
38:01
in
38:01
practice,
38:02
like
38:02
if,
38:02
say
38:02
I
38:02
want
38:02
to
38:03
say
38:03
I'm
38:03
buying
38:03
into
38:03
what
38:03
Amir
38:04
described
38:04
and
38:04
I
38:05
want
38:05
to
38:05
deploy
38:05
physical
38:05
AI
38:07
infrastructure
38:08
in
38:08
my
38:08
retail
38:08
environment,
38:09
what
38:09
does
38:09
that
38:09
look
38:09
like?
38:10
How
38:10
long
38:10
does
38:10
it
38:10
actually
38:10
take?
38:11
What
38:12
can
38:12
go
38:12
wrong?
38:12
Who's
38:13
doing
38:13
the
38:14
work
38:14
ultimately?
38:15
Well,
38:16
AT&T
38:16
does
38:17
provide
38:17
really
38:18
the
38:18
end
38:18
to
38:18
end
38:19
services
38:19
for
38:20
deploying
38:21
the
38:22
solution
38:23
for
38:23
customers.
38:24
So
38:24
we
38:24
do
38:25
have
38:25
field
38:25
service
38:26
personnel
38:26
nationwide
38:27
and
38:28
we
38:28
have
38:29
a
38:29
number
38:29
of
38:29
international
38:30
partners
38:31
as
38:31
well.
38:31
We're
38:31
installing
38:32
some
38:32
internationally
38:34
for.
38:36
So
38:36
that
38:36
piece
38:37
of
38:37
it,
38:37
you
38:37
know,
38:37
we
38:38
have,
38:38
we
38:38
test
38:38
it,
38:39
we
38:39
deploy
38:39
it,
38:40
we
38:40
validate
38:41
it
38:41
and
38:42
know
38:42
that
38:42
it's
38:42
installed
38:43
and
38:43
working
38:43
properly.
38:46
So
38:46
the
38:46
duration
38:46
of
38:47
that
38:47
really
38:47
depends
38:48
on
38:48
the
38:48
design.
38:48
It
38:49
depends
38:49
on
38:49
the
38:49
size
38:49
of
38:50
facilities,
38:50
the
38:51
quantity
38:51
of
38:51
facilities,
38:52
the
38:52
area
38:52
covered.
38:54
Are
38:54
you
38:54
just
38:55
looking
38:55
at
38:56
that,
38:56
you
38:57
know,
38:57
receiving
38:57
and
38:58
shipping
38:58
accuracy?
38:59
Do
39:00
you
39:00
want
39:00
inventory
39:01
everywhere
39:02
in
39:02
your
39:02
store
39:03
or
39:03
your
39:03
warehouse?
39:04
So
39:04
it
39:04
depends
39:04
on
39:05
the
39:05
use
39:05
case
39:05
as
39:05
well.
39:06
But
39:07
I
39:07
think
39:07
one
39:08
of
39:08
the
39:08
really
39:08
important
39:09
things
39:09
is
39:09
that
39:10
validation
39:10
and
39:11
fine
39:11
tuning
39:12
to
39:12
ensure
39:13
that,
39:14
I
39:14
mean,
39:14
that's
39:15
where
39:15
the
39:15
pitfalls
39:15
can
39:16
happen
39:16
if
39:16
we
39:17
can
39:17
have
39:18
that
39:18
service
39:18
upfront
39:19
to
39:19
know
39:20
we
39:20
are
39:21
meeting
39:21
the
39:22
customer's
39:22
APIs,
39:23
we
39:24
are
39:24
achieving
39:25
their
39:26
business
39:27
goals
39:28
and
39:28
their
39:29
KPIs
39:29
from
39:30
the
39:30
actual
39:30
installation
39:31
of
39:31
the
39:32
infrastructure
39:33
and
39:33
the
39:34
entire
39:34
solution.
39:36
So,
39:36
okay,
39:37
that
39:37
kind
39:37
of
39:37
takes
39:37
me
39:37
to
39:37
my
39:37
next
39:38
question.
39:38
So
39:39
it
39:39
sounds
39:40
like
39:40
AT&T
39:41
is
39:41
responsible
39:41
for
39:42
the
39:42
actual
39:42
overseeing
39:43
the
39:43
entire
39:43
deployment
39:44
of
39:44
the
39:44
situations
39:45
like
39:45
this
39:46
or
39:46
technology
39:47
concepts
39:48
like
39:48
this.
39:48
What
39:49
happens
39:49
post
39:49
deployment
39:50
though
39:50
too?
39:50
Is
39:50
AT&T
39:51
still
39:51
involved
39:51
in
39:52
that?
39:52
Are
39:52
you
39:53
still
39:53
involved
39:53
in
39:53
the
39:53
monitoring
39:54
and
39:54
any
39:55
maintenance
39:55
work
39:55
that
39:55
needs
39:56
to
39:56
come
39:56
into
39:56
play
39:57
as
39:57
you
39:57
continue
39:57
to
39:58
improve
39:58
this
39:58
and
39:59
hone
39:59
it
39:59
and
39:59
make
39:59
sure
39:59
it
40:00
continues
40:00
to
40:00
work
40:00
at
40:00
scale.
40:02
Yes,
40:03
we
40:03
are
40:03
actually.
40:03
We
40:04
are.
40:04
After
40:04
deployment,
40:05
we're
40:05
keeping
40:06
things,
40:06
you
40:06
know,
40:07
monitored,
40:08
running
40:08
smoothly.
40:09
We're
40:09
helping
40:10
customers
40:10
provide
40:11
reports
40:12
on
40:12
that,
40:12
monitoring
40:13
performance.
40:14
We
40:14
do
40:14
dispatch,
40:16
you
40:16
know,
40:16
trouble
40:16
tickets
40:17
if
40:17
there's
40:17
ever
40:17
any
40:18
hardware
40:18
or,
40:19
you
40:19
know,
40:20
cabling
40:20
or
40:21
installation
40:21
failure
40:22
or
40:22
network.
40:23
So
40:23
we
40:24
are
40:24
able
40:24
to
40:24
stay
40:24
ahead
40:25
of
40:25
that
40:26
as
40:26
our
40:26
customers,
40:27
you
40:27
know,
40:28
grow
40:28
and
40:29
scale.
40:30
Got
40:31
it.
40:31
Got
40:31
it.
40:31
Well,
40:31
that
40:32
gives
40:32
me
40:32
a
40:32
lot
40:32
of
40:32
confidence
40:33
then,
40:33
with
40:33
the
40:33
two
40:33
of
40:33
you
40:33
guys
40:34
working
40:34
hand
40:34
in
40:34
hand
40:35
to
40:35
make
40:35
this,
40:36
make
40:36
this
40:36
work.
40:37
So,
40:37
Amir,
40:38
I'm
40:38
curious
40:38
too.
40:38
From
40:39
Juliet's
40:39
perspective,
40:41
What
40:41
does
40:42
having
40:42
AT&T
40:43
in
40:43
the
40:43
ecosystem
40:44
unlock
40:45
that
40:45
you
40:45
all
40:46
just
40:46
couldn't
40:46
do
40:46
on
40:46
your
40:46
own?
40:47
Well,
40:49
there's
40:49
a
40:49
handful
40:50
of
40:50
things,
40:50
so
40:51
I
40:51
would
40:51
say
40:52
I
40:52
would
40:52
generalize
40:53
a
40:53
couple
40:53
different
40:53
categories.
40:54
One
40:54
is
40:54
that
40:56
their
40:57
ability
40:57
and
40:57
their
40:58
reliability
40:59
on
40:59
the
40:59
data
40:59
side
41:00
is
41:00
so,
41:00
so
41:01
important,
41:01
critical.
41:02
Especially
41:02
when
41:02
you
41:02
look
41:03
at
41:03
all
41:04
things
41:04
we
41:04
talk
41:05
around,
41:05
around
41:05
physical
41:06
AI.
41:06
The
41:06
foundation
41:07
is
41:07
being
41:07
able
41:07
to
41:08
take
41:08
the
41:08
data
41:08
from
41:09
that
41:09
physical
41:09
product
41:09
and
41:10
put
41:10
it
41:10
in
41:10
a
41:10
platform
41:11
and
41:11
be
41:11
able
41:12
to
41:12
then
41:12
run
41:12
the
41:13
agentic
41:14
algorithms
41:15
behind
41:15
it.
41:16
We
41:16
can't
41:16
even
41:16
get
41:17
the
41:17
foundational
41:18
piece
41:18
of
41:18
that
41:18
going
41:19
without
41:19
reliability
41:20
on
41:20
the
41:20
data
41:20
side.
41:22
The
41:22
second
41:23
piece
41:23
that
41:23
I
41:23
would
41:23
generalize
41:24
that's
41:25
equally
41:25
as
41:25
important
41:26
is
41:26
that
41:26
you
41:26
can
41:26
have
41:27
great
41:27
tech.
41:28
That
41:28
tech
41:28
could
41:29
work.
41:30
If
41:30
you
41:30
don't
41:30
have
41:30
a
41:30
go
41:31
to
41:31
market
41:31
to
41:31
actually
41:32
get
41:33
into
41:33
the
41:33
field
41:33
and
41:33
deploy
41:34
it
41:34
at
41:34
scale
41:35
in
41:35
a
41:35
consistent
41:36
way
41:37
without
41:37
any
41:37
breakdowns,
41:39
you
41:39
don't
41:39
have
41:39
success.
41:40
So
41:41
those
41:41
are
41:42
foundationally
41:42
the
41:43
two
41:43
pieces
41:43
that
41:43
I
41:44
would
41:44
say
41:44
this
41:44
collaboration
41:45
is
41:46
so
41:46
instrumental
41:48
for
41:48
the
41:48
success
41:48
and
41:49
the
41:49
work
41:49
that
41:49
we're
41:49
doing
41:49
right
41:50
now.
41:50
Yeah,
41:51
this
41:51
is
41:51
really
41:51
great
41:51
stuff
41:52
because
41:52
this
41:52
is
41:52
where
41:52
the
41:52
rubber
41:53
meets
41:53
the
41:53
road.
41:53
When
41:53
you
41:53
start
41:53
talking
41:54
about
41:54
technology
41:55
that's
41:55
fun
41:55
to
41:55
talk
41:56
about
41:56
versus
41:56
technology
41:57
that's
41:57
scalable
41:58
and
41:58
deployable.
41:59
All
42:00
right,
42:00
so
42:01
let's
42:01
talk
42:01
about
42:01
the
42:02
commercial
42:02
model
42:02
then.
42:03
So,
42:03
you
42:03
know,
42:03
we've
42:04
got
42:04
people
42:04
bought
42:04
in.
42:04
We've
42:05
talked
42:05
about
42:05
the
42:05
use
42:05
cases,
42:05
we've
42:06
talked
42:06
about
42:06
the
42:06
value
42:07
each
42:07
partner
42:07
is
42:07
bringing
42:07
to
42:08
the
42:08
table.
42:09
If
42:09
I'm
42:09
a
42:09
retailer,
42:10
how
42:10
do
42:10
I
42:10
actually
42:10
buy
42:10
this?
42:11
You
42:11
know,
42:11
is
42:11
it
42:12
hardware
42:13
plus
42:13
connectivity
42:14
plus
42:14
software?
42:14
Like
42:15
walk
42:15
me
42:15
through,
42:16
like
42:16
how
42:16
this
42:16
all
42:16
works.
42:19
So
42:20
it
42:20
does
42:20
have
42:21
all
42:21
of
42:21
those
42:21
components
42:22
and
42:23
we
42:23
can
42:23
actually
42:24
at
42:24
and
42:25
often
42:26
rolls
42:27
that
42:27
all
42:27
into
42:28
a
42:28
managed
42:28
solution
42:29
for
42:29
our
42:29
customers.
42:30
So
42:30
depending
42:30
on
42:31
if
42:31
they
42:31
want
42:32
that
42:32
capex
42:33
model
42:33
or
42:33
an
42:33
OPEX
42:34
model,
42:34
we
42:35
can
42:35
do
42:35
that
42:36
for
42:37
the
42:37
entire
42:37
solution.
42:38
Or
42:38
we
42:38
can
42:39
sell
42:39
hardware
42:40
upfront.
42:41
You
42:42
know,
42:42
network
42:42
is
42:43
obviously
42:43
opex
42:44
Typically
42:44
services
42:45
and
42:45
support
42:46
are,
42:46
but
42:47
we
42:47
do
42:48
have
42:48
an
42:49
arm
42:49
within
42:49
AT&T
42:50
called
42:50
Capital
42:51
Leasing.
42:51
So
42:52
really
42:52
anything
42:53
can
42:53
be
42:53
rolled
42:53
into
42:54
that
42:54
operational
42:55
model,
42:56
which
42:56
is,
42:56
is
42:56
nice
42:57
for
42:57
a
42:57
lot
42:57
of
42:57
retailers.
42:59
So
42:59
the
42:59
other,
43:00
the
43:00
other
43:00
angle
43:00
you
43:01
got
43:01
to
43:01
think
43:01
about
43:01
is
43:01
the
43:01
integr.
43:02
There's
43:02
also
43:02
a
43:02
lot
43:02
of
43:02
integration
43:03
points
43:03
when
43:03
you
43:04
start
43:04
talking
43:04
about
43:04
a
43:05
technology
43:05
like
43:05
this.
43:06
I
43:06
mean
43:06
I
43:06
could
43:06
think
43:06
about,
43:06
you
43:07
know,
43:07
the,
43:08
the
43:08
acronym
43:08
SOUP
43:08
comes
43:09
to
43:09
mind
43:09
for
43:09
me.
43:09
Like
43:09
the
43:09
wms,
43:10
the
43:10
oms,
43:11
the
43:11
erp,
43:12
K.
43:12
What
43:12
is,
43:12
what
43:13
is
43:13
the,
43:13
what
43:13
is
43:14
the
43:14
integration
43:14
side
43:15
of
43:15
that
43:15
looks
43:15
like
43:15
and
43:16
how
43:16
does
43:16
that
43:16
all
43:16
get
43:16
handled?
43:18
Well,
43:19
definitely
43:20
with
43:20
all
43:20
of
43:20
this
43:21
automation,
43:22
it's
43:22
not
43:22
going
43:22
to
43:23
work
43:23
unless
43:23
we
43:24
have
43:24
that
43:24
integration
43:25
to
43:25
the
43:25
customer
43:26
system.
43:26
So
43:27
the
43:27
goal
43:27
is
43:27
to
43:27
fit
43:28
into
43:28
their
43:29
systems
43:29
that
43:29
they
43:30
use
43:30
already,
43:31
not
43:31
make
43:31
them
43:31
start
43:32
over,
43:32
but
43:33
really
43:33
works
43:33
best
43:34
when
43:34
the
43:34
data
43:34
flows
43:35
from
43:35
the
43:36
platform.
43:36
They're
43:36
already
43:37
running
43:37
inventory,
43:38
fulfillment
43:38
warehouse
43:39
operations
43:40
into
43:41
the
43:42
Wiliot
43:42
platform,
43:43
into
43:44
the
43:45
assignment
43:45
of
43:46
pixels
43:46
per
43:47
product.
43:47
All
43:48
of
43:48
that
43:48
automation
43:49
is
43:49
key
43:50
and
43:50
that
43:50
means
43:50
integration
43:51
into
43:51
their
43:52
systems.
43:52
So
43:53
we
43:53
perform
43:54
that
43:54
service
43:54
for
43:55
many
43:55
of
43:55
our
43:56
customers
43:56
and
43:57
it's
43:57
really
43:58
critical.
43:58
Otherwise
43:59
you're
43:59
adding
44:00
time,
44:02
saving
44:02
time
44:03
at
44:03
the
44:03
same
44:03
time
44:03
as
44:03
adding
44:04
time.
44:04
But
44:04
integration
44:05
obviously
44:06
allows
44:06
that
44:06
automation
44:07
and
44:07
free
44:08
flow
44:08
of
44:08
data
44:09
back
44:09
and
44:09
forth.
44:11
Ideally
44:11
you're
44:11
not
44:12
ripping
44:12
out
44:12
and
44:12
replacing
44:12
anything.
44:13
You're
44:13
just
44:13
working
44:13
alongside
44:14
or
44:14
in
44:15
connection
44:15
with,
44:15
in
44:15
concert
44:16
with
44:16
what
44:16
already
44:16
exists.
44:17
Ideally
44:19
that's
44:19
correct.
44:20
We
44:20
are
44:21
not
44:22
ripping
44:22
and
44:23
replacing,
44:23
we
44:23
are
44:24
just
44:24
adding
44:25
visibility
44:26
and
44:26
adding
44:27
that
44:27
integration
44:29
to
44:29
make
44:30
it
44:30
all
44:30
seamless
44:30
for
44:31
the
44:31
customer.
44:32
Got
44:32
it.
44:32
Amir,
44:33
who
44:33
owns
44:34
this
44:34
on
44:34
the
44:34
retailer
44:35
side
44:35
from
44:35
your
44:36
experience,
44:36
like
44:37
you
44:37
know,
44:37
is
44:37
it,
44:37
it
44:38
the
44:38
supply
44:39
chain,
44:39
some
44:39
combination
44:40
of
44:40
both.
44:41
But
44:41
like
44:41
where
44:41
does
44:41
the
44:41
buck
44:42
actually
44:42
stop
44:42
inside
44:43
the
44:43
retail
44:43
organization
44:44
where
44:44
you've
44:44
seen
44:44
this
44:44
deployed
44:45
successfully?
44:46
It's
44:46
a
44:46
great
44:46
question.
44:47
So
44:47
it's,
44:47
it's
44:47
a
44:47
combination
44:48
of
44:48
all.
44:48
So
44:49
I
44:49
think
44:49
it's
44:49
an
44:49
all
44:49
hands
44:50
effort
44:50
and
44:50
that's
44:50
what
44:51
is,
44:52
is
44:52
valuable.
44:53
But
44:53
also
44:53
it,
44:53
it
44:54
slows
44:54
down
44:54
some
44:55
of
44:55
the
44:55
sales
44:55
cycles
44:56
when
44:57
we
44:57
look
44:57
at
44:57
the
44:58
different
44:58
stakeholders
44:59
that
44:59
have
44:59
to
44:59
be
45:00
in
45:00
play.
45:01
When
45:01
you
45:01
look
45:01
at
45:02
discussion
45:03
points,
45:04
anything
45:04
around
45:04
supply
45:05
chain.
45:05
So
45:05
you
45:05
have
45:06
all
45:06
of
45:06
the
45:07
warehouse
45:08
managers,
45:08
you
45:09
have
45:09
the,
45:09
the
45:10
folks,
45:10
the
45:10
executives
45:11
on
45:11
the
45:11
supply
45:12
chain
45:12
side
45:12
that
45:13
are,
45:13
throughout
45:14
the
45:14
process
45:14
they're
45:15
identifying
45:16
the
45:16
dollars
45:16
out
45:17
and
45:17
they're
45:17
trying
45:17
to
45:18
figure
45:18
out
45:18
a
45:18
tool
45:18
to
45:19
get,
45:19
get
45:20
the
45:20
right
45:21
ROI
45:21
behind
45:22
their
45:22
problems.
45:23
However,
45:24
anytime
45:25
you
45:25
have
45:25
any
45:26
kind
45:26
of
45:26
platform
45:26
integrated
45:27
with
45:28
their
45:28
systems,
45:29
you
45:29
have
45:29
it
45:29
involved.
45:30
So
45:31
we'll,
45:31
we'll
45:31
start
45:32
usually
45:33
either
45:33
at
45:33
the
45:33
CIO
45:34
VP
45:34
of
45:34
IT
45:35
level
45:35
and
45:36
then
45:36
it
45:36
Actually
45:36
then
45:36
goes
45:37
down
45:37
to
45:37
the
45:37
tactical
45:38
levels
45:38
within
45:38
their
45:39
teams.
45:40
What
45:40
we
45:40
see
45:41
is
45:41
that
45:41
typically
45:42
the
45:42
origination
45:43
of
45:43
any
45:44
of
45:44
these
45:44
projects,
45:44
it
45:45
does
45:46
fit
45:46
in
45:46
somewhere
45:47
between
45:47
supply
45:47
chain
45:48
merchandising,
45:49
the
45:50
folks
45:50
that
45:51
really
45:51
realize
45:51
the
45:52
day
45:52
to
45:52
day
45:52
pains.
45:53
And
45:53
then
45:53
very
45:54
quickly
45:54
within
45:54
our
45:55
first
45:55
few
45:55
meetings,
45:55
you
45:56
have
45:56
someone
45:56
from
45:57
the
45:57
IT
45:57
side
45:58
already
45:59
shouldered
46:00
into
46:00
the
46:00
discussion
46:01
so
46:02
that
46:02
they're
46:02
talking
46:02
around
46:03
the
46:03
compliance
46:03
and
46:04
what
46:04
that
46:04
all
46:04
means.
46:05
One,
46:05
with
46:05
the
46:06
legacy
46:07
investments
46:07
they've
46:07
already
46:08
made
46:08
because
46:08
you
46:09
have
46:09
to
46:09
draw
46:09
lines
46:09
and
46:10
integrate
46:10
within
46:10
those.
46:11
And
46:11
then
46:12
two,
46:12
what
46:12
this
46:12
means
46:13
for
46:13
future
46:13
roadmap
46:14
and
46:14
how
46:15
these
46:15
systems
46:15
are
46:15
going
46:16
to
46:16
play
46:16
together
46:17
in
46:17
a
46:17
way
46:17
that
46:17
doesn't
46:18
break
46:18
down
46:18
investments
46:19
they've
46:19
already
46:19
made.
46:20
This
46:21
has
46:21
been
46:21
a
46:21
really,
46:21
really
46:22
interesting
46:22
discussion.
46:23
We've
46:23
gotten
46:23
into
46:23
a
46:23
lot
46:24
of
46:24
nitty
46:24
gritty
46:24
on
46:25
the
46:25
factors
46:26
at
46:26
play
46:26
here.
46:26
So
46:27
I
46:27
want
46:27
to,
46:27
I
46:27
want
46:28
to
46:28
take
46:28
the
46:28
last
46:28
time
46:29
we
46:29
have
46:29
with
46:29
you,
46:29
say
46:30
the
46:30
last
46:30
five,
46:31
six
46:31
minutes
46:31
of
46:31
this
46:32
podcast
46:32
and
46:32
I
46:32
want
46:32
to
46:32
get
46:33
tactical
46:33
for
46:33
our
46:33
audience.
46:34
I
46:34
want
46:35
to
46:35
give
46:35
them
46:35
things
46:35
that
46:35
they
46:35
can
46:36
take
46:36
away
46:36
and
46:36
actually
46:37
go
46:37
back
46:38
into
46:38
their
46:38
organizations
46:39
and
46:39
potentially
46:40
do
46:40
so.
46:40
Amir,
46:41
I
46:41
want
46:41
to
46:41
start
46:41
with
46:42
you.
46:43
I
46:43
want
46:43
you
46:43
to
46:43
give
46:43
us
46:44
the
46:44
30
46:44
day
46:44
action
46:45
plan.
46:45
If
46:45
I'm
46:45
a
46:45
chief
46:46
supply
46:46
chain
46:46
off,
46:46
let's
46:47
say
46:47
I'm
46:47
a
46:47
chief
46:47
supply
46:47
chain
46:48
officer,
46:48
I'm
46:48
listening
46:49
to
46:49
this
46:49
episode.
46:50
What
46:50
are
46:51
the
46:51
specific
46:51
action
46:52
steps
46:52
I
46:52
should
46:53
take
46:53
within
46:53
the
46:54
next
46:54
30
46:54
days
46:55
if
46:55
I'm
46:55
buying
46:56
into
46:56
what
46:56
I've
46:56
been
46:56
hearing?
46:57
Well,
46:57
there
46:58
a
46:58
couple
46:58
categories.
46:59
One
46:59
is
46:59
if
46:59
you've
47:00
already
47:00
made
47:00
an
47:01
investment
47:01
in
47:02
legacy
47:02
technologies,
47:03
but
47:03
you
47:04
have
47:04
any
47:04
of
47:04
the
47:04
shortcomings
47:05
that
47:05
we've
47:06
went
47:06
through
47:07
during
47:08
this
47:08
session.
47:08
So
47:09
summarizing
47:09
it
47:10
here
47:10
around
47:11
visibility
47:12
of
47:12
an
47:12
asset
47:12
leaving
47:13
being
47:13
received
47:14
in
47:14
an
47:14
automated
47:15
format,
47:15
visibility
47:16
or
47:16
assets
47:16
within
47:16
your
47:17
four
47:17
walls,
47:18
any
47:18
kind
47:18
of
47:19
misuse,
47:20
misunderstanding,
47:21
loss
47:22
of
47:22
visibility
47:22
of
47:23
your
47:23
own
47:23
assets
47:24
that
47:24
sit
47:24
within
47:25
so
47:25
RPCs,
47:26
rolling
47:27
cages,
47:27
or
47:28
if
47:28
you
47:28
have
47:28
requirements
47:29
around
47:29
temperature
47:30
or
47:30
any
47:30
kind
47:30
of
47:31
freshness,
47:32
visibility
47:33
on
47:33
humidity,
47:34
you
47:34
want
47:34
exposure
47:35
of
47:36
items
47:36
that
47:36
maybe
47:37
are
47:37
getting
47:38
open
47:38
prematurely,
47:39
they
47:39
need
47:39
light
47:40
detection
47:40
capabilities.
47:41
If
47:41
you
47:42
have
47:42
any
47:42
investment
47:42
in
47:43
technologies
47:43
that
47:43
you've
47:44
made
47:44
historically
47:45
and
47:45
it
47:45
hits
47:45
any
47:46
one
47:46
of
47:46
those
47:46
and
47:47
there's
47:47
shortcomings,
47:49
try
47:49
to
47:49
understand
47:50
what
47:51
are
47:51
those
47:51
shortcomings.
47:52
And
47:52
if
47:52
you
47:52
can
47:52
actually
47:52
quantify
47:53
it
47:53
without
47:54
our
47:54
help,
47:54
that's
47:55
a
47:55
very
47:55
good
47:55
first
47:55
step
47:56
to
47:56
get
47:57
the
47:57
discussion
47:57
going.
47:58
Then
47:58
the
47:58
second
47:59
part
47:59
of
47:59
that
47:59
is
48:00
if
48:00
you
48:00
can't
48:01
quantify
48:01
it,
48:01
that's
48:02
something
48:02
we
48:02
can
48:02
get
48:02
involved.
48:03
We
48:03
can
48:03
evaluate
48:04
the
48:04
workflows
48:05
and
48:05
then
48:05
start
48:06
to
48:06
build
48:06
a
48:06
model
48:07
that
48:07
makes
48:08
sense
48:08
and
48:08
a
48:08
charter
48:09
to
48:09
take
48:10
K
48:10
made
48:10
a
48:10
very
48:11
good
48:11
point
48:11
that
48:12
a
48:12
lot
48:12
of
48:13
the
48:13
technology,
48:13
the
48:14
hardware
48:14
out
48:14
there
48:15
doesn't
48:15
have
48:15
to
48:16
be
48:16
net
48:16
new.
48:16
It
48:17
could
48:17
be
48:17
things
48:17
that
48:17
we
48:18
integrate
48:18
with.
48:19
So
48:19
it
48:19
could
48:20
be
48:20
devices
48:20
that
48:21
are
48:21
already
48:22
in
48:22
place,
48:22
like
48:22
an
48:22
RFID
48:23
reader
48:24
that
48:24
can
48:24
energize
48:25
our
48:25
tag.
48:25
And
48:26
then
48:26
we
48:26
would
48:26
look
48:26
with
48:27
our
48:27
collaboration
48:28
into
48:28
a
48:29
low
48:29
cost
48:30
bridge
48:30
that
48:30
could
48:30
receive
48:31
it
48:31
via
48:31
Bluetooth,
48:32
low
48:32
energy,
48:32
and
48:32
then
48:32
transmit
48:33
the
48:33
data.
48:34
So
48:34
we
48:34
don't
48:34
always
48:34
have
48:35
to
48:35
start
48:35
at
48:35
ground
48:36
level.
48:36
There
48:36
might
48:36
be
48:37
investments
48:37
and
48:37
workflows
48:38
that
48:38
we
48:38
can
48:38
already
48:38
build
48:39
on
48:39
based
48:40
on
48:40
limitations
48:41
of
48:41
legacy
48:42
technology.
48:43
The
48:43
other
48:45
workflow
48:45
really
48:46
around
48:46
here
48:46
is
48:46
that
48:47
maybe
48:47
there
48:48
has
48:48
been
48:48
no
48:48
investments
48:49
on
48:49
technology
48:50
and
48:50
traceability
48:51
solutions.
48:52
Maybe
48:52
there's
48:52
barcodes,
48:54
maybe
48:55
not
48:55
maybe,
48:55
maybe
48:56
there's
48:56
nothing.
48:56
There's
48:57
no
48:57
barcodes,
48:57
no
48:57
rfid.
48:58
And
48:58
you're
48:58
starting
48:59
net
48:59
new.
49:00
That
49:00
blueprint
49:01
to
49:01
still
49:01
evaluate
49:02
any
49:02
one
49:02
of
49:02
those
49:02
five
49:02
solutions
49:03
sets
49:04
and
49:04
starting
49:04
to
49:04
go
49:05
through
49:05
a
49:05
methodology
49:06
to
49:06
quantify
49:07
also
49:07
is
49:07
a
49:07
good
49:08
starting
49:08
point
49:08
for
49:08
us
49:08
to
49:09
jump
49:09
from.
49:09
So
49:10
it
49:10
really
49:10
doesn't
49:11
matter
49:11
if
49:11
you're
49:11
on
49:11
a
49:12
journey
49:12
of
49:12
an
49:12
investment
49:12
you've
49:13
made
49:13
or
49:13
an
49:13
investment
49:14
you
49:14
haven't
49:14
made.
49:15
Our
49:15
problems
49:16
are
49:16
common
49:16
through
49:17
the
49:17
supply
49:17
chain.
49:18
So
49:18
it's
49:18
just
49:18
about
49:19
identifying
49:19
it
49:19
down
49:20
to
49:20
those,
49:20
those,
49:21
those
49:21
simple
49:22
five
49:22
and
49:22
then
49:22
we
49:22
can
49:22
work
49:23
it
49:23
from
49:23
there.
49:24
Yeah,
49:24
that's
49:24
a
49:24
great
49:24
point
49:25
too.
49:25
Like
49:25
there's
49:25
no
49:25
sense
49:26
recreating
49:26
the
49:26
wheel.
49:27
Like
49:27
if
49:27
you,
49:27
if
49:27
you've
49:27
got
49:28
a
49:28
problem,
49:28
chances
49:28
are
49:28
somebody
49:29
else
49:29
has
49:29
it.
49:29
And
49:30
you
49:30
all
49:30
have
49:30
probably
49:31
helped
49:31
a
49:32
lot
49:32
of
49:32
people
49:32
solve
49:32
it
49:33
at
49:33
this
49:33
point
49:33
too.
49:34
So
49:34
there's
49:34
a
49:34
lot
49:34
to
49:35
leverage
49:35
in
49:36
that
49:36
regard.
49:37
All
49:37
right,
49:38
K,
49:39
so
49:40
keep
49:40
me
49:41
in
49:41
this.
49:41
Let's
49:41
keep
49:41
in
49:41
the
49:41
same
49:42
vein,
49:42
like
49:42
say
49:42
I'm
49:43
the
49:43
chief
49:43
supply
49:43
chain
49:43
officer.
49:44
What's
49:44
the
49:45
first
49:45
conversation
49:46
I
49:46
have?
49:46
So
49:46
Amir
49:47
kind
49:47
of
49:47
talked
49:47
about,
49:47
like,
49:48
how
49:48
do
49:48
I,
49:48
how
49:48
do
49:49
I
49:49
think
49:49
about
49:49
this
49:49
strategically
49:50
and
49:50
what
49:50
do
49:51
I
49:51
want
49:51
to
49:51
do?
49:51
But
49:52
what's
49:52
the
49:52
first
49:52
conversation
49:53
I
49:53
have?
49:53
Do
49:54
I
49:54
start
49:54
with
49:54
you?
49:55
Do
49:55
I
49:55
start
49:55
with
49:55
Williot?
49:56
Do
49:56
I
49:56
call
49:56
my
49:56
own
49:57
internal
49:57
IT
49:58
team?
49:58
Like
49:58
map
49:58
the
49:59
journey
49:59
out
49:59
for
49:59
us?
50:01
Well,
50:01
I
50:01
think
50:02
customers
50:03
need
50:03
to
50:03
start
50:04
with
50:04
what
50:05
is
50:05
the
50:05
business
50:05
problem?
50:06
What
50:06
is
50:06
the
50:07
problem
50:07
I'm
50:07
having?
50:08
We
50:08
help
50:09
customers
50:10
do
50:10
that
50:10
quite
50:11
a
50:11
bit.
50:11
In
50:11
fact,
50:12
we
50:12
provide
50:12
workshops
50:13
around,
50:14
you
50:14
know,
50:15
ROI
50:16
and
50:16
prioritizing
50:17
technology
50:18
deployments,
50:19
you
50:19
know,
50:20
from
50:20
a
50:20
higher
50:20
level,
50:21
strategic
50:22
level,
50:22
but
50:22
then
50:23
also
50:23
drilling
50:24
into
50:24
what
50:25
problem
50:25
are
50:26
they
50:26
facing.
50:27
The
50:27
logistics
50:27
folks,
50:28
the
50:28
store
50:28
folks,
50:29
the,
50:29
you
50:29
know,
50:30
executives.
50:31
What
50:31
is
50:31
it,
50:32
you
50:32
know,
50:32
what
50:32
is
50:33
your
50:33
goal
50:33
for
50:34
shrinkage?
50:35
You
50:35
know,
50:35
do
50:35
you
50:35
have
50:35
a
50:36
compliance
50:36
issue?
50:37
You
50:37
know,
50:37
do
50:38
you
50:38
have
50:38
to
50:38
have
50:39
that
50:39
traceability
50:40
and
50:41
store
50:41
that
50:41
data
50:42
and
50:42
feed
50:42
it
50:43
to
50:43
a
50:43
government
50:44
agency
50:44
or
50:45
your
50:45
partners.
50:46
So
50:47
what
50:47
are
50:47
those
50:48
goals
50:48
and
50:48
those
50:48
KPIs
50:50
and
50:50
bring
50:51
us
50:51
in
50:51
early.
50:52
You
50:52
know,
50:52
we,
50:53
as
50:54
Amir
50:55
mentioned
50:55
and
50:55
you
50:55
did,
50:56
the
50:57
problems
50:57
are
50:57
common
50:58
across
50:59
retailers
50:59
and
51:00
any
51:00
supply
51:01
chain
51:01
organization.
51:02
So
51:03
we're
51:03
happy
51:04
to
51:04
help
51:04
with
51:05
that.
51:05
But
51:05
you
51:05
know,
51:06
bring
51:06
us
51:06
in
51:06
to
51:06
design
51:07
and
51:07
pilot
51:08
and
51:08
scale
51:09
ultimately
51:10
the
51:10
solution
51:10
for
51:11
you.
51:11
So
51:12
it
51:12
sounds
51:12
like
51:12
they
51:12
should
51:12
call
51:13
you
51:13
first,
51:13
Kay,
51:13
I'm
51:14
going
51:14
to
51:14
ask
51:14
at
51:14
the
51:14
end,
51:14
like
51:15
who
51:15
should
51:15
people
51:15
get
51:15
in
51:15
touch
51:15
with?
51:16
But
51:16
it
51:16
sounds
51:16
like
51:16
it
51:17
sounds
51:17
like
51:17
they
51:17
should
51:17
call
51:17
you
51:18
first,
51:18
am
51:18
I
51:18
right?
51:20
It's
51:20
a
51:20
lot
51:21
of
51:21
my
51:21
job
51:22
honestly
51:23
is
51:24
talking
51:24
with
51:24
the
51:24
customers
51:25
about
51:25
their
51:25
problem
51:26
and
51:26
digging
51:27
into,
51:27
you
51:28
know,
51:29
what
51:29
is
51:29
the
51:29
goal
51:30
and
51:30
how
51:30
do
51:30
we
51:31
solve
51:31
it.
51:31
And
51:31
here
51:32
are
51:32
some
51:32
options
51:33
and
51:33
here
51:33
are
51:33
pros
51:34
and
51:34
cons
51:35
and
51:36
that's
51:37
great.
51:37
We
51:37
love
51:37
to
51:37
be
51:38
brought
51:38
in
51:38
early.
51:39
And
51:39
I
51:39
just
51:40
want
51:40
to
51:40
add
51:40
to
51:40
Kay's
51:41
point
51:41
there,
51:41
that's
51:42
very
51:42
important
51:42
to
51:42
note
51:43
is
51:43
because
51:43
they're
51:44
on
51:44
the
51:44
forefront
51:44
of
51:44
really
51:45
taking
51:45
it
51:45
to
51:45
scale.
51:46
So
51:47
a
51:47
common
51:48
issue
51:48
is
51:48
too
51:49
much
51:49
work
51:49
being
51:50
done
51:50
on
51:50
the
51:50
pre
51:50
sales
51:51
without
51:51
a
51:51
vision
51:51
of
51:52
what
51:52
direction
51:52
you're
51:52
going
51:52
at
51:53
some
51:53
scale.
51:54
So
51:55
that
51:55
that
51:56
blueprint
51:56
that
51:57
they
51:57
walk
51:57
through
51:58
the
51:58
hand
51:58
inand
51:58
trusted
51:59
advisor
52:00
methodology
52:01
is
52:02
the
52:02
right
52:02
one
52:02
because
52:02
they're
52:03
looking
52:03
at
52:03
it
52:03
big
52:03
picture.
52:04
And
52:04
then
52:04
for
52:05
us
52:05
to
52:05
be
52:05
brought
52:05
in
52:06
to
52:06
then
52:06
solve
52:06
the
52:07
challenge
52:07
with
52:07
the
52:07
technology,
52:09
I
52:09
like
52:09
to
52:09
say
52:09
is
52:09
the
52:10
easier
52:10
part
52:10
because
52:11
we
52:11
know
52:11
it
52:11
works.
52:12
We
52:12
just
52:12
need
52:13
to
52:13
then
52:13
have
52:13
the
52:14
viability
52:14
and
52:14
the
52:14
trust
52:15
that
52:15
it
52:15
can
52:15
be
52:15
taken
52:15
to
52:16
scale.
52:16
And
52:16
that's
52:16
why
52:16
that
52:17
exercise
52:17
is
52:17
so
52:17
important.
52:19
Yeah,
52:19
you
52:19
two
52:19
are
52:19
dropping
52:20
nuggets
52:20
here.
52:20
I
52:20
always
52:20
love
52:20
when
52:20
the
52:21
nuggets
52:21
get
52:21
dropped
52:21
in
52:21
like
52:22
minute
52:22
53
52:22
of
52:23
the
52:23
podcast
52:23
to
52:23
YouTube
52:24
because.
52:24
But
52:25
you're
52:25
right,
52:25
I
52:25
mean
52:25
like
52:26
as
52:26
an
52:26
former
52:27
executive,
52:27
like
52:27
having
52:27
to
52:28
phone
52:28
a
52:28
friend
52:28
there
52:29
that
52:29
understands,
52:30
you
52:30
know,
52:30
everything
52:30
that's
52:31
going
52:31
on
52:31
at
52:32
a
52:32
large
52:32
scale
52:33
across
52:33
the
52:33
industry,
52:34
where
52:34
you
52:34
can
52:35
leverage
52:35
the
52:35
capabilities
52:36
like
52:36
Kay,
52:36
like
52:37
you
52:37
just
52:37
described
52:37
is
52:38
hugely
52:38
valuable.
52:38
And
52:39
there,
52:39
there
52:39
just
52:39
aren't
52:40
that
52:40
many
52:41
friends
52:41
you
52:41
can
52:42
phone
52:42
in
52:42
that
52:42
regard
52:43
in
52:43
for
52:43
a
52:43
lot
52:44
of
52:44
these
52:44
executives.
52:44
So
52:44
it's
52:45
great
52:45
to
52:45
hear.
52:45
All
52:46
right,
52:46
Amir,
52:46
we
52:46
don't
52:46
call
52:47
this
52:47
podcast
52:48
confessions
52:49
of
52:49
a
52:49
supply
52:49
of
52:50
supply
52:50
chain
52:50
executives
52:51
for
52:51
nothing.
52:52
So
52:52
my
52:52
last
52:53
question
52:53
for
52:53
you
52:54
is
52:55
what
52:55
is
52:55
the
52:55
bigger
52:55
hurdle
52:56
to
52:57
physical
52:57
AI
52:57
adoption?
52:58
Is
52:58
it
52:58
the
52:58
state
52:59
of
52:59
technology
53:00
or
53:00
the
53:01
organizational
53:01
change
53:02
that's
53:02
required
53:03
to
53:03
rally
53:03
around
53:04
it?
53:05
And
53:06
how
53:06
long
53:06
do
53:06
you
53:06
think
53:07
it
53:07
will
53:07
be
53:07
until
53:07
we
53:08
see
53:08
everything
53:08
that
53:09
we've
53:09
discussed
53:09
here
53:09
today
53:10
as
53:10
commonplace
53:11
throughout
53:11
the
53:11
industry.
53:13
Just
53:13
being
53:13
very
53:13
direct,
53:14
I
53:14
think
53:14
it's
53:14
the
53:14
organizational
53:15
side
53:15
because
53:16
technology
53:16
is
53:16
going
53:17
to
53:17
evolve.
53:17
We're
53:17
going
53:18
to
53:18
continue
53:18
to
53:18
have
53:19
iterations.
53:19
You
53:20
know,
53:20
we're
53:20
going
53:20
to
53:20
have
53:20
Gen4
53:22
coming
53:22
out
53:23
in
53:23
a,
53:23
you
53:23
know,
53:23
a
53:24
couple
53:24
years.
53:24
And
53:24
so
53:25
when
53:25
you
53:25
look
53:25
at
53:25
that,
53:25
then
53:26
it's
53:26
going
53:26
to
53:26
have
53:27
a
53:27
successor
53:27
based
53:27
on
53:28
that.
53:28
For
53:29
us,
53:29
it's
53:29
not
53:29
a
53:29
technology
53:30
limitation.
53:31
We
53:31
know
53:31
it
53:31
works.
53:31
We
53:32
know
53:32
it
53:32
works
53:32
successfully.
53:33
The
53:33
value
53:33
is
53:33
there.
53:34
It's
53:34
more
53:35
around
53:35
working
53:36
through
53:36
organizations
53:37
and
53:37
the
53:37
hurdles
53:38
they
53:38
have.
53:38
You
53:38
hit
53:39
a
53:39
very
53:39
good
53:39
point
53:39
earlier.
53:40
What
53:40
groups
53:41
are
53:41
we
53:41
talking
53:41
to?
53:41
It's
53:42
all
53:42
of
53:42
them.
53:43
So
53:43
if
53:43
it
53:44
originates
53:44
in
53:45
IT
53:45
and
53:45
supply
53:45
chain,
53:46
we
53:46
still
53:46
have
53:46
to
53:46
get
53:47
them
53:47
to
53:48
have
53:48
their
53:48
collaboration
53:49
and
53:49
their
53:49
nodding
53:50
heads
53:50
to
53:50
go
53:50
forward
53:51
with
53:51
the
53:51
project.
53:52
And
53:53
that
53:53
works
53:53
across
53:54
all
53:54
industries.
53:55
It's
53:55
agnostic.
53:58
Where
53:58
I
53:58
think
53:58
it's
53:59
going
53:59
over
53:59
the
54:00
next
54:01
foreseeable
54:02
future.
54:02
I
54:03
would
54:03
say
54:03
we're
54:03
already
54:03
there.
54:04
I
54:04
wouldn't
54:05
say
54:05
right
54:05
now
54:05
that
54:06
we're
54:06
limited
54:06
at
54:07
all.
54:07
You've
54:07
seen
54:08
some
54:08
big
54:08
announcements
54:09
with
54:09
some
54:09
major
54:10
retailers
54:10
not
54:11
too
54:11
long
54:11
ago,
54:12
late
54:12
last
54:12
year.
54:13
We
54:13
have
54:13
some
54:13
really
54:14
transformational
54:15
projects
54:15
that
54:15
we're
54:15
working
54:16
on
54:16
with
54:16
this
54:16
collaboration.
54:17
So
54:18
it's
54:18
not
54:18
a
54:18
matter
54:18
of
54:19
a
54:19
when.
54:19
It's
54:19
just
54:20
more.
54:20
How
54:21
do
54:21
you
54:21
dial
54:21
up
54:21
that
54:21
volume?
54:22
So
54:22
there's
54:22
more
54:23
implementations
54:24
and
54:24
more
54:24
scale,
54:25
not
54:25
only
54:25
with
54:25
these
54:26
clients
54:26
that
54:27
we
54:27
have,
54:27
but
54:27
also
54:27
with
54:28
net
54:28
new
54:28
ones.
54:29
But
54:29
I
54:29
do
54:29
see
54:30
a
54:30
transformation
54:31
over
54:31
the
54:31
next
54:31
12
54:32
to
54:32
18
54:32
months
54:33
that
54:33
we're
54:34
going
54:34
to
54:34
be
54:35
hitting
54:35
the
54:36
retail,
54:36
grocery,
54:37
quick
54:37
service,
54:37
restaurants,
54:38
the
54:38
logistics
54:39
space
54:39
and
54:39
the
54:40
automotive
54:40
space
54:41
with
54:41
this
54:41
technology
54:42
because
54:43
those
54:43
are
54:44
the
54:44
ones
54:44
that
54:44
are
54:44
struggling
54:45
with
54:45
legacy
54:46
technologies,
54:46
with
54:47
many
54:47
of
54:47
the
54:48
shortcomings
54:48
that
54:48
we've
54:48
outlined
54:49
here.
54:50
Right,
54:50
right.
54:50
That's
54:51
a
54:51
great
54:51
point
54:51
too.
54:51
And
54:51
with,
54:51
with,
54:52
with
54:52
more
54:52
implementations
54:53
comes
54:53
more
54:54
scale.
54:54
All
54:54
right,
54:54
so
54:55
K,
54:55
we
54:55
kind
54:55
of
54:56
kind
54:56
of
54:56
joked
54:56
about
54:56
it
54:57
before.
54:57
Thank
54:58
you
54:58
for
54:58
that.
54:58
Amir.
54:58
We
54:59
kind
54:59
of
54:59
joked
54:59
about
54:59
it
54:59
before.
55:00
If
55:00
people
55:00
want
55:01
to
55:01
get
55:01
in
55:01
touch
55:01
with
55:01
you,
55:02
what's
55:02
the
55:02
best
55:02
way
55:03
for
55:03
them
55:03
to
55:03
do
55:03
that?
55:03
Kayl,
55:04
go
55:04
to
55:04
you
55:04
first.
55:05
Well,
55:05
AT&T
55:06
has
55:06
a
55:07
big
55:07
website.
55:07
You
55:07
can
55:08
search
55:08
on
55:08
that
55:08
for
55:09
any
55:09
kind
55:09
of
55:09
solution
55:10
we
55:10
offer.
55:10
But
55:11
please
55:11
contact
55:12
me
55:12
on
55:12
LinkedIn.
55:13
I'm
55:14
happy
55:14
to
55:15
talk
55:15
through
55:16
use
55:16
cases
55:17
and
55:18
try
55:18
to
55:19
find
55:19
the
55:19
biggest
55:19
impact
55:20
for
55:20
this
55:20
technology
55:21
for
55:21
your
55:22
company.
55:24
Yeah,
55:24
yeah,
55:24
for
55:24
sure.
55:25
And
55:25
Amir,
55:26
you're
55:26
definitely
55:26
on
55:26
my
55:27
speed
55:27
dial
55:27
for
55:28
this
55:28
topic.
55:28
So
55:28
what's
55:29
the
55:29
best
55:29
way
55:29
for
55:29
people
55:29
to
55:29
get
55:29
in
55:30
touch
55:30
with
55:30
you?
55:31
Same
55:31
as
55:32
K.
55:32
I
55:32
think
55:34
we
55:34
have
55:34
a
55:34
lot
55:34
of
55:34
assets,
55:35
really
55:35
good
55:35
information
55:36
on
55:36
the
55:36
Will
55:36
website.
55:37
Our
55:37
collaboration
55:38
is
55:38
also
55:38
there
55:39
so
55:39
you
55:39
can
55:39
work
55:39
between
55:39
the
55:40
organizations
55:40
to
55:40
get
55:41
started.
55:42
But
55:42
personally,
55:43
LinkedIn
55:43
also,
55:44
I'm
55:44
pretty
55:44
active
55:44
there,
55:45
so
55:45
send
55:45
the
55:45
message
55:46
and
55:46
we'll
55:46
be
55:46
happy
55:46
to
55:46
follow
55:47
up.
55:48
Wonderful,
55:49
wonderful.
55:49
Well,
55:49
thank
55:49
you
55:50
both.
55:50
Thank
55:50
you
55:50
so
55:51
much.
55:51
Amir
55:51
Kojnati
55:52
of
55:52
Wiliot
55:52
and
55:53
kay
55:53
Irwin
55:53
of
55:53
AT&T.
55:55
This
55:55
has
55:55
been
55:55
an
55:55
incredibly
55:56
valuable
55:56
discussion.
55:57
We
55:57
got
55:57
to
55:57
levels
55:58
deeper
55:58
here
55:58
than
55:58
I
55:58
think
55:58
I
55:59
ever
55:59
have
55:59
on
55:59
any
56:00
podcast.
56:01
Thank
56:01
you
56:01
for
56:01
educating
56:02
our
56:02
audience
56:02
on
56:02
what
56:03
it
56:03
takes
56:03
to
56:03
succeed
56:04
with
56:04
physical
56:05
AI
56:05
in
56:05
commerce.
56:06
And
56:07
of
56:07
course,
56:07
today's
56:07
podcast
56:08
has
56:08
been
56:08
produced
56:09
with
56:09
the
56:09
help
56:09
of
56:09
Ella
56:10
Sirjord.
56:10
I
56:11
am
56:11
Chris
56:11
Walton.
56:11
This
56:12
has
56:12
been
56:12
Confessions
56:13
of
56:13
a
56:13
Supply
56:13
Chain
56:13
Executive.
56:14
Never
56:15
forget
56:15
Omnitalk
56:16
fans.
56:16
Confessions
56:17
are
56:17
almost
56:18
always
56:18
good
56:19
for
56:19
the
56:19
soul.
56:20
Be
56:20
careful
56:20
out
56:21
there.