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Physical AI: What It Is & How IoT Will Combine With AI To Make Retail Operations Self-Aware | Spotlight Series · Omni Talk Retail

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  Foreign.
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  Spotlight
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  makes
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  you
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  feel
• 0:24
  a
• 0:24
  little
• 0:24
  smarter,
• 0:25
  but
• 0:25
  most
• 0:25
  importantly,
• 0:26
  a
• 0:26
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  happier
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  week
• 0:27
  too.
• 0:28
  And,
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  Retail
• 0:32
  alongside
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  Retail
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  Daily
• 0:34
  minute,
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  which
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• 0:35
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• 0:35
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• 0:36
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• 0:39
  podcast,
• 0:40
  the
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  Retail
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  Fast
• 0:41
  Five,
• 0:41
  that
• 0:41
  breaks
• 0:42
  down
• 0:42
  each
• 0:42
  week.
• 0:42
  The
• 0:43
  top
• 0:43
  five
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  headlines
• 0:44
  making
• 0:44
  waves
• 0:44
  in
• 0:44
  the
• 0:44
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• 0:45
  of
• 0:45
  omnichannel
• 0:46
  retailing
• 0:46
  and
• 0:46
  comes
• 0:47
  your
• 0:47
  way
• 0:47
  every
• 0:48
  Wednesday
• 0:48
  afternoon.
• 0:49
  Hello,
• 0:50
  everyone,
• 0:51
  we
• 0:51
  are
• 0:51
  your
• 0:52
  co
• 0:52
  host
• 0:52
  for
• 0:53
  today's
• 0:53
  interview.
• 0:54
  I'm
• 0:54
  Anne
• 0:54
  Mazinga.
• 0:55
  And
• 0:55
  I'm
• 0:55
  Chris
• 0:55
  Walton.
• 0:56
  And
• 0:56
  Chris,
• 0:56
  this
• 0:57
  is
• 0:57
  a
• 0:57
  little
• 0:57
  bit
• 0:57
  like
• 0:58
  the
• 0:59
  teaser
• 0:59
  we
• 0:59
  have
• 1:00
  of
• 1:00
  Stranger
• 1:01
  Things
• 1:01
  coming
• 1:01
  back.
• 1:01
  You
• 1:01
  know
• 1:02
  where
• 1:02
  you,
• 1:02
  you
• 1:02
  watch
• 1:03
  the
• 1:03
  first
• 1:03
  season
• 1:04
  and
• 1:04
  then
• 1:04
  you
• 1:05
  have
• 1:05
  the
• 1:05
  second
• 1:05
  season
• 1:06
  teased
• 1:06
  at
• 1:07
  the
• 1:07
  end.
• 1:07
  Well,
• 1:08
  we
• 1:08
  are
• 1:08
  doing
• 1:08
  that
• 1:09
  today
• 1:09
  with
• 1:10
  part
• 1:10
  two
• 1:11
  of
• 1:11
  our
• 1:11
  series
• 1:12
  with
• 1:12
  Wilyat.
• 1:13
  Now,
• 1:14
  we
• 1:14
  left
• 1:14
  you
• 1:15
  last
• 1:15
  episode
• 1:16
  with
• 1:16
  the
• 1:16
  cliffhanger
• 1:17
  on
• 1:18
  physical
• 1:18
  AI
• 1:19
  and
• 1:19
  today
• 1:19
  we're
• 1:19
  going
• 1:19
  to
• 1:20
  dive
• 1:20
  into
• 1:20
  that
• 1:21
  with
• 1:21
  Wiliot's
• 1:22
  director
• 1:22
  of
• 1:22
  data
• 1:23
  product
• 1:23
  and
• 1:24
  AI
• 1:24
  Doran
• 1:25
  Hassan
• 1:26
  Doran.
• 1:27
  Thank
• 1:27
  you
• 1:27
  so
• 1:27
  much
• 1:27
  for
• 1:27
  joining
• 1:28
  us
• 1:28
  and
• 1:28
  welcome
• 1:28
  to
• 1:29
  omnitalk.
• 1:30
  Thank
• 1:30
  you
• 1:30
  so
• 1:30
  much.
• 1:31
  Thanks
• 1:31
  for
• 1:31
  having
• 1:31
  me.
• 1:32
  You
• 1:32
  said
• 1:32
  my
• 1:32
  name
• 1:32
  really,
• 1:33
  really
• 1:33
  well.
• 1:34
  So
• 1:34
  I,
• 1:34
  I'm
• 1:35
  practicing
• 1:35
  my
• 1:35
  Hebrew.
• 1:36
  It's
• 1:36
  not
• 1:36
  getting
• 1:36
  any
• 1:37
  better,
• 1:37
  but
• 1:37
  I'm,
• 1:38
  I
• 1:38
  feel
• 1:38
  like
• 1:38
  if
• 1:38
  I
• 1:39
  just
• 1:39
  keep
• 1:39
  practicing,
• 1:40
  perhaps
• 1:40
  it
• 1:40
  will.
• 1:41
  But
• 1:42
  we've
• 1:42
  got
• 1:42
  a
• 1:42
  lot
• 1:43
  of
• 1:43
  opportunity
• 1:43
  today.
• 1:46
  Yes.
• 1:46
  Practicing
• 1:47
  one
• 1:47
  name
• 1:47
  at
• 1:47
  a
• 1:47
  time.
• 1:48
  All
• 1:48
  right,
• 1:48
  well,
• 1:48
  before
• 1:48
  we
• 1:48
  get
• 1:49
  started,
• 1:49
  before
• 1:49
  we
• 1:49
  dive
• 1:50
  into
• 1:50
  everything,
• 1:50
  let's
• 1:50
  have
• 1:50
  you.
• 1:51
  Why
• 1:51
  don't
• 1:51
  you
• 1:51
  give
• 1:52
  maybe
• 1:52
  the.
• 1:52
  Maybe
• 1:52
  there
• 1:53
  were
• 1:53
  some
• 1:53
  listening
• 1:53
  that
• 1:53
  weren't
• 1:54
  here
• 1:54
  for
• 1:54
  the
• 1:54
  first
• 1:54
  episode.
• 1:55
  They
• 1:55
  weren't
• 1:55
  here
• 1:55
  for
• 1:56
  the
• 1:56
  cliffhanger.
• 1:56
  We
• 1:57
  why
• 1:57
  don't
• 1:57
  you
• 1:57
  give
• 1:57
  our
• 1:57
  audience
• 1:57
  a
• 1:58
  brief
• 1:58
  reminder
• 1:58
  overview
• 1:59
  of
• 1:59
  what
• 1:59
  wiliot
• 2:00
  does
• 2:00
  and
• 2:00
  what
• 2:00
  your
• 2:00
  role
• 2:00
  is
• 2:01
  there.
• 2:01
  So
• 2:01
  for
• 2:02
  Anyone
• 2:02
  new
• 2:02
  to
• 2:03
  WilIot,
• 2:04
  we
• 2:04
  are
• 2:04
  a
• 2:05
  pioneer
• 2:05
  of
• 2:05
  a
• 2:05
  technology
• 2:06
  called
• 2:06
  ambient
• 2:07
  IoT.
• 2:08
  Think
• 2:08
  of
• 2:08
  it
• 2:09
  as
• 2:09
  a
• 2:09
  way
• 2:09
  to
• 2:10
  connecting
• 2:10
  trillions
• 2:11
  of
• 2:12
  everyday
• 2:12
  items.
• 2:13
  You
• 2:13
  can
• 2:13
  think
• 2:13
  about
• 2:13
  products,
• 2:14
  cases,
• 2:15
  pallets.
• 2:16
  So
• 2:16
  connecting
• 2:17
  that
• 2:17
  into
• 2:17
  the
• 2:18
  cloud
• 2:18
  with
• 2:19
  tiny
• 2:20
  battery
• 2:20
  free
• 2:21
  Bluetooth
• 2:21
  sensors
• 2:22
  that
• 2:22
  we
• 2:22
  call
• 2:22
  IoT
• 2:23
  pixels.
• 2:24
  So
• 2:25
  these
• 2:25
  pixels,
• 2:26
  they
• 2:26
  continuously
• 2:27
  capture
• 2:27
  data
• 2:28
  about
• 2:28
  where
• 2:28
  the
• 2:29
  things,
• 2:29
  you
• 2:29
  know,
• 2:30
  where
• 2:30
  they
• 2:30
  are,
• 2:31
  what
• 2:31
  conditions
• 2:32
  they're
• 2:32
  on,
• 2:33
  how
• 2:33
  they're
• 2:34
  moving,
• 2:34
  how
• 2:34
  long
• 2:35
  they've
• 2:35
  been
• 2:35
  Idle
• 2:36
  and
• 2:36
  they
• 2:36
  do
• 2:36
  this
• 2:37
  automatically.
• 2:38
  So
• 2:38
  no
• 2:38
  scans,
• 2:39
  no
• 2:39
  batteries,
• 2:40
  no
• 2:40
  touch
• 2:40
  points
• 2:41
  and
• 2:41
  all
• 2:42
  that
• 2:42
  data,
• 2:43
  the
• 2:43
  ambient
• 2:44
  data
• 2:44
  from
• 2:44
  IoT
• 2:45
  pixels,
• 2:45
  but
• 2:46
  also
• 2:46
  in
• 2:46
  addition
• 2:47
  to
• 2:47
  complementary
• 2:48
  data
• 2:49
  from
• 2:49
  systems
• 2:50
  like,
• 2:50
  you
• 2:50
  know,
• 2:50
  rfid,
• 2:51
  all
• 2:52
  of
• 2:52
  that
• 2:52
  data
• 2:52
  flow
• 2:53
  into
• 2:53
  the
• 2:53
  Wiliot
• 2:54
  intelligence
• 2:55
  platform
• 2:55
  where
• 2:56
  AI
• 2:56
  and
• 2:56
  ML
• 2:57
  transform
• 2:58
  that
• 2:58
  data
• 2:59
  into
• 2:59
  intelligence
• 3:00
  so
• 3:00
  you
• 3:00
  can
• 3:00
  think
• 3:01
  about
• 3:01
  real
• 3:01
  time
• 3:01
  inventory
• 3:02
  accuracy,
• 3:03
  freshness
• 3:04
  in
• 3:04
  size,
• 3:04
  shrink
• 3:05
  detection,
• 3:06
  dwell
• 3:07
  time
• 3:07
  analysis
• 3:08
  and
• 3:08
  etc.
• 3:08
  Many,
• 3:09
  many,
• 3:09
  many
• 3:09
  others.
• 3:10
  My
• 3:10
  role
• 3:10
  of
• 3:11
  the
• 3:11
  director
• 3:11
  of
• 3:12
  Data
• 3:12
  product
• 3:12
  and
• 3:12
  AI.
• 3:13
  So
• 3:13
  I
• 3:13
  lead
• 3:13
  that
• 3:14
  physical
• 3:14
  AI
• 3:14
  strategy.
• 3:15
  So
• 3:15
  essentially
• 3:16
  how
• 3:16
  we
• 3:16
  fuse
• 3:16
  that
• 3:17
  IoT
• 3:17
  data
• 3:19
  ML
• 3:20
  gen
• 3:21
  into
• 3:21
  living
• 3:21
  intelligence
• 3:22
  layer
• 3:23
  so
• 3:23
  retailers
• 3:24
  can
• 3:24
  trust
• 3:25
  run
• 3:25
  operations
• 3:26
  smarter,
• 3:27
  leaner,
• 3:28
  more
• 3:28
  predictably.
• 3:29
  Doran,
• 3:30
  how
• 3:30
  do
• 3:30
  you
• 3:30
  explain
• 3:31
  that
• 3:31
  in
• 3:31
  in
• 3:32
  from
• 3:32
  Wiliot's
• 3:33
  perspective,
• 3:33
  like
• 3:33
  dive
• 3:34
  a
• 3:34
  little
• 3:34
  bit
• 3:34
  more
• 3:34
  into
• 3:34
  what
• 3:35
  physical
• 3:35
  AI
• 3:36
  looks
• 3:36
  like
• 3:36
  inside
• 3:37
  of
• 3:37
  a
• 3:37
  retailer
• 3:38
  that
• 3:38
  you
• 3:38
  might
• 3:38
  be
• 3:38
  partnered
• 3:39
  with
• 3:39
  or
• 3:40
  in
• 3:40
  concept
• 3:41
  even.
• 3:41
  I
• 3:42
  guess
• 3:42
  just
• 3:42
  one
• 3:43
  note
• 3:43
  before
• 3:43
  we
• 3:43
  dive
• 3:44
  in
• 3:44
  into
• 3:44
  the
• 3:44
  real
• 3:44
  use
• 3:44
  cases
• 3:45
  is
• 3:45
  that
• 3:45
  I
• 3:46
  think
• 3:46
  I
• 3:46
  spoke
• 3:46
  about
• 3:46
  this
• 3:47
  a
• 3:47
  little
• 3:47
  before
• 3:47
  in
• 3:47
  our,
• 3:48
  in
• 3:48
  a
• 3:48
  blog
• 3:48
  post,
• 3:49
  but
• 3:50
  physical
• 3:51
  AI,
• 3:52
  it
• 3:52
  doesn't
• 3:53
  replace
• 3:53
  humans,
• 3:54
  it
• 3:54
  empowers
• 3:55
  them.
• 3:55
  So
• 3:57
  I
• 3:57
  guess
• 3:57
  the
• 3:57
  ultimate
• 3:58
  model
• 3:58
  is
• 3:58
  a
• 3:58
  partnership
• 3:59
  model
• 3:59
  between
• 3:59
  physical
• 4:00
  AI
• 4:01
  and
• 4:01
  humans.
• 4:02
  So
• 4:02
  you
• 4:02
  have
• 4:03
  ambient
• 4:03
  IOT
• 4:03
  required,
• 4:04
  right?
• 4:05
  Exactly.
• 4:06
  Humans
• 4:06
  are
• 4:06
  required
• 4:06
  so
• 4:07
  we
• 4:07
  can
• 4:07
  think
• 4:07
  about
• 4:07
  this.
• 4:08
  The
• 4:09
  system
• 4:09
  is
• 4:09
  a
• 4:10
  decision
• 4:10
  support
• 4:11
  tool
• 4:11
  rather
• 4:12
  than
• 4:12
  an
• 4:12
  autonomous
• 4:13
  decision
• 4:13
  maker
• 4:14
  because
• 4:14
  humans,
• 4:14
  you
• 4:14
  know,
• 4:15
  we
• 4:15
  have
• 4:15
  the,
• 4:15
  the
• 4:16
  business
• 4:16
  context
• 4:17
  that
• 4:17
  regardless
• 4:17
  like
• 4:18
  AI
• 4:18
  and,
• 4:18
  and,
• 4:19
  and
• 4:19
  ambient
• 4:20
  won't
• 4:20
  have.
• 4:21
  So
• 4:21
  it's
• 4:21
  a
• 4:21
  combination
• 4:21
  of
• 4:22
  these
• 4:22
  three.
• 4:23
  And
• 4:23
  now
• 4:23
  to
• 4:23
  your
• 4:24
  question
• 4:24
  about
• 4:24
  real
• 4:24
  use
• 4:24
  cases.
• 4:25
  You
• 4:25
  probably
• 4:25
  can
• 4:25
  demonstrate
• 4:26
  it.
• 4:26
  So
• 4:26
  I
• 4:27
  think
• 4:27
  the
• 4:27
  first
• 4:27
  thing
• 4:27
  that
• 4:28
  I,
• 4:28
  the
• 4:29
  first
• 4:29
  use
• 4:29
  case
• 4:29
  that
• 4:29
  I
• 4:30
  mentioned
• 4:30
  is,
• 4:30
  you
• 4:30
  know,
• 4:31
  inventory
• 4:31
  accuracy.
• 4:32
  You
• 4:32
  can
• 4:33
  be
• 4:33
  more
• 4:33
  accurate
• 4:33
  with
• 4:34
  the,
• 4:34
  with
• 4:34
  where
• 4:34
  your
• 4:35
  things
• 4:35
  are.
• 4:36
  So
• 4:37
  it
• 4:37
  resolves
• 4:38
  inventory
• 4:38
  discrepancies
• 4:39
  before
• 4:41
  they
• 4:42
  become
• 4:42
  stuck
• 4:42
  out.
• 4:42
  So
• 4:43
  one
• 4:43
  of
• 4:43
  the
• 4:44
  retailers
• 4:44
  biggest
• 4:45
  pain
• 4:45
  point,
• 4:46
  it's
• 4:47
  also
• 4:47
  being
• 4:47
  used
• 4:47
  to
• 4:47
  automate
• 4:48
  restocking
• 4:49
  and
• 4:50
  replenishment.
• 4:51
  So
• 4:52
  when
• 4:52
  something
• 4:52
  arrives,
• 4:53
  sits
• 4:54
  too
• 4:54
  long,
• 4:55
  gets
• 4:56
  misplaced,
• 4:57
  the
• 4:57
  system
• 4:57
  will
• 4:58
  notify
• 4:58
  you
• 4:59
  instantly.
• 5:00
  So
• 5:00
  not
• 5:00
  in
• 5:00
  a
• 5:01
  report
• 5:01
  tomorrow,
• 5:02
  not
• 5:02
  during
• 5:02
  an
• 5:03
  audit
• 5:03
  next
• 5:03
  week.
• 5:04
  It's
• 5:04
  in
• 5:04
  the
• 5:04
  moment.
• 5:05
  So
• 5:05
  it
• 5:05
  turns
• 5:06
  replenishment
• 5:07
  into
• 5:07
  a
• 5:08
  guided,
• 5:08
  almost
• 5:09
  autonomous
• 5:10
  workflow.
• 5:12
  That's
• 5:12
  the
• 5:12
  second
• 5:13
  use
• 5:13
  case.
• 5:13
  The
• 5:13
  third
• 5:13
  one
• 5:14
  is,
• 5:15
  well
• 5:16
  the
• 5:16
  most
• 5:16
  straightforward
• 5:17
  one
• 5:17
  probably
• 5:17
  is
• 5:19
  freshness,
• 5:19
  cold
• 5:20
  chain
• 5:20
  integrity.
• 5:21
  So
• 5:21
  ambient
• 5:22
  IoT
• 5:23
  by
• 5:23
  design
• 5:24
  monitors
• 5:25
  the
• 5:25
  temperature,
• 5:26
  humidity
• 5:26
  and
• 5:26
  we
• 5:27
  always
• 5:27
  add
• 5:27
  more
• 5:27
  capabilities
• 5:28
  here
• 5:28
  in
• 5:28
  William
• 5:29
  like
• 5:29
  light
• 5:30
  and
• 5:30
  other
• 5:30
  capabilities.
• 5:32
  So
• 5:32
  we
• 5:32
  monitor
• 5:32
  that
• 5:32
  across
• 5:33
  trucks,
• 5:33
  the
• 5:34
  backrooms,
• 5:34
  sales
• 5:34
  floors,
• 5:35
  all
• 5:35
  this
• 5:36
  and
• 5:36
  the
• 5:36
  AI
• 5:37
  will
• 5:37
  come
• 5:37
  in
• 5:37
  and
• 5:37
  flag
• 5:38
  excursions
• 5:38
  early.
• 5:39
  It
• 5:39
  would
• 5:39
  say
• 5:40
  hey,
• 5:40
  this
• 5:40
  pallet
• 5:41
  is
• 5:41
  warming
• 5:42
  up.
• 5:42
  Or
• 5:42
  this
• 5:43
  case
• 5:43
  has
• 5:43
  been
• 5:44
  out
• 5:44
  of
• 5:45
  range,
• 5:45
  let's
• 5:46
  say,
• 5:46
  for
• 5:46
  27
• 5:47
  minutes.
• 5:47
  So
• 5:47
  it's
• 5:48
  actually
• 5:48
  preventing
• 5:49
  the
• 5:49
  spoilage
• 5:50
  before
• 5:50
  a
• 5:50
  customer
• 5:52
  even
• 5:52
  sees
• 5:52
  it.
• 5:53
  So
• 5:53
  you've
• 5:53
  mentioned
• 5:53
  a
• 5:54
  few
• 5:54
  terms
• 5:54
  already.
• 5:54
  You've
• 5:54
  mentioned
• 5:55
  IoT,
• 5:56
  which
• 5:56
  is
• 5:56
  a
• 5:56
  term
• 5:56
  that,
• 5:57
  quite
• 5:57
  frankly,
• 5:58
  we
• 5:58
  haven't
• 5:58
  talked
• 5:58
  that
• 5:58
  much
• 5:59
  about
• 5:59
  on
• 5:59
  our
• 5:59
  show.
• 6:00
  And
• 6:00
  in
• 6:00
  recent
• 6:00
  memory,
• 6:01
  you've
• 6:01
  mentioned
• 6:02
  IoT,
• 6:02
  you've
• 6:02
  mentioned
• 6:03
  ambient
• 6:03
  IoT
• 6:04
  as
• 6:04
  well,
• 6:05
  and
• 6:05
  then
• 6:05
  you've
• 6:05
  mentioned
• 6:06
  physical
• 6:06
  and
• 6:06
  digital
• 6:07
  AI,
• 6:07
  so.
• 6:08
  So
• 6:08
  piece
• 6:08
  apart
• 6:09
  all
• 6:09
  of
• 6:09
  those
• 6:09
  for
• 6:10
  us.
• 6:10
  Like,
• 6:10
  what
• 6:11
  is.
• 6:11
  What
• 6:11
  is
• 6:12
  different
• 6:12
  about
• 6:12
  each
• 6:12
  of
• 6:12
  them?
• 6:12
  And
• 6:13
  where
• 6:13
  does
• 6:13
  one
• 6:13
  begin?
• 6:14
  And
• 6:14
  where
• 6:14
  do
• 6:14
  the
• 6:14
  lines
• 6:15
  start
• 6:15
  to
• 6:15
  blur
• 6:15
  as
• 6:15
  well?
• 6:16
  I
• 6:16
  think
• 6:16
  as.
• 6:17
  As
• 6:17
  Nick
• 6:18
  said
• 6:18
  before,
• 6:19
  Internet
• 6:19
  of
• 6:19
  Things,
• 6:20
  I
• 6:20
  think,
• 6:20
  is
• 6:20
  a
• 6:20
  concept
• 6:20
  that
• 6:21
  we're
• 6:22
  familiar
• 6:22
  with
• 6:23
  quite
• 6:23
  a
• 6:23
  while
• 6:23
  ago,
• 6:24
  right,
• 6:24
  this
• 6:25
  pretty
• 6:25
  much
• 6:25
  like
• 6:25
  15
• 6:26
  years
• 6:26
  ago,
• 6:26
  right?
• 6:27
  Yeah,
• 6:28
  yeah,
• 6:29
  right.
• 6:29
  Quite
• 6:29
  a
• 6:29
  while
• 6:30
  ago.
• 6:30
  It's
• 6:30
  actually
• 6:30
  connecting
• 6:31
  the
• 6:32
  things,
• 6:32
  physical
• 6:33
  things,
• 6:33
  to
• 6:34
  the
• 6:34
  Internet,
• 6:35
  pretty
• 6:35
  much.
• 6:36
  And
• 6:36
  it
• 6:36
  started
• 6:36
  many
• 6:37
  different
• 6:37
  forms.
• 6:38
  And
• 6:38
  I
• 6:38
  think,
• 6:38
  as
• 6:39
  Nick
• 6:39
  said
• 6:39
  it
• 6:39
  correctly,
• 6:40
  what
• 6:40
  WILLIA
• 6:41
  does
• 6:42
  before
• 6:42
  we
• 6:42
  jump
• 6:42
  into
• 6:43
  ambientarity
• 6:43
  is
• 6:44
  focusing
• 6:44
  on
• 6:44
  that
• 6:45
  team,
• 6:45
  the
• 6:45
  things
• 6:46
  themselves,
• 6:48
  not
• 6:48
  just
• 6:48
  the
• 6:48
  Internet,
• 6:49
  of
• 6:49
  course,
• 6:49
  cloud
• 6:50
  and
• 6:50
  AI.
• 6:50
  Now
• 6:51
  connecting
• 6:51
  these
• 6:51
  things,
• 6:52
  essentially
• 6:53
  letting
• 6:53
  them
• 6:54
  speak.
• 6:55
  And
• 6:55
  ambient
• 6:56
  IoT
• 6:56
  is
• 6:56
  also
• 6:56
  not
• 6:57
  a
• 6:57
  thing
• 6:58
  that
• 6:58
  Wiliot
• 6:58
  invented,
• 6:59
  of
• 6:59
  course.
• 7:01
  It's
• 7:02
  pretty
• 7:02
  much
• 7:02
  Internet
• 7:03
  of
• 7:03
  things
• 7:05
  and
• 7:06
  everywhere.
• 7:08
  This
• 7:09
  is
• 7:09
  the
• 7:09
  stuff
• 7:09
  that
• 7:09
  we
• 7:10
  enable
• 7:10
  with
• 7:11
  the
• 7:11
  Bluetooth,
• 7:12
  because
• 7:12
  Bluetooth
• 7:13
  is
• 7:13
  pretty
• 7:13
  much
• 7:13
  everywhere.
• 7:14
  So
• 7:15
  the
• 7:15
  Internet
• 7:15
  of
• 7:15
  things
• 7:15
  is.
• 7:16
  You
• 7:16
  have
• 7:16
  your
• 7:16
  things
• 7:16
  connected
• 7:17
  anywhere,
• 7:17
  everywhere
• 7:18
  in
• 7:18
  real
• 7:19
  time.
• 7:19
  So
• 7:19
  you've
• 7:20
  got
• 7:20
  IoT,
• 7:20
  which
• 7:20
  is
• 7:20
  basically
• 7:21
  like
• 7:21
  the
• 7:21
  system
• 7:21
  of
• 7:22
  connected
• 7:22
  devices,
• 7:23
  ambient
• 7:23
  IoT.
• 7:24
  What
• 7:24
  I'm
• 7:24
  hearing
• 7:24
  from
• 7:24
  you
• 7:25
  is
• 7:25
  that's.
• 7:26
  That's
• 7:26
  the
• 7:26
  kind
• 7:26
  of
• 7:26
  always
• 7:27
  on
• 7:27
  nature
• 7:28
  of
• 7:28
  the
• 7:28
  IoT,
• 7:29
  right?
• 7:29
  It's
• 7:29
  ambient,
• 7:30
  it's
• 7:30
  always
• 7:30
  there,
• 7:30
  it's
• 7:31
  in
• 7:31
  the
• 7:31
  background,
• 7:31
  it's
• 7:31
  collecting
• 7:32
  data.
• 7:33
  Right,
• 7:33
  exactly.
• 7:34
  So
• 7:34
  this
• 7:35
  digital
• 7:35
  AI
• 7:35
  is
• 7:36
  what
• 7:36
  we
• 7:36
  know
• 7:36
  is
• 7:36
  pretty
• 7:37
  much
• 7:37
  what
• 7:37
  we're
• 7:37
  familiar
• 7:38
  with.
• 7:38
  You
• 7:38
  know,
• 7:38
  AI
• 7:38
  is
• 7:38
  also
• 7:39
  a
• 7:39
  very
• 7:39
  old
• 7:39
  concept.
• 7:40
  Now.
• 7:40
  People
• 7:40
  talk
• 7:40
  about
• 7:41
  AI,
• 7:41
  you
• 7:41
  know,
• 7:41
  recently
• 7:42
  because
• 7:42
  of
• 7:42
  advancements,
• 7:43
  you
• 7:44
  know,
• 7:44
  recent
• 7:44
  investments
• 7:45
  like
• 7:45
  ChatGPT,
• 7:46
  but
• 7:46
  even
• 7:47
  before
• 7:47
  that,
• 7:47
  you
• 7:47
  know,
• 7:48
  advancements
• 7:48
  in
• 7:48
  computer
• 7:49
  vision
• 7:49
  and,
• 7:50
  and
• 7:50
  deep
• 7:50
  learning
• 7:50
  and
• 7:50
  models
• 7:51
  like
• 7:51
  this.
• 7:51
  But
• 7:51
  AI
• 7:52
  is
• 7:52
  also
• 7:52
  an
• 7:52
  old
• 7:52
  concept
• 7:53
  and
• 7:53
  it's
• 7:53
  all
• 7:53
  based
• 7:53
  on
• 7:54
  digital
• 7:54
  stuff.
• 7:56
  You
• 7:56
  know,
• 7:56
  it's.
• 7:56
  It's,
• 7:57
  you
• 7:57
  know,
• 7:57
  it's
• 7:57
  being
• 7:57
  trained
• 7:58
  on
• 7:59
  the
• 7:59
  Internet
• 7:59
  on
• 8:00
  things,
• 8:00
  documents,
• 8:01
  texts,
• 8:02
  spreadsheets,
• 8:03
  numbers,
• 8:04
  all
• 8:04
  that
• 8:04
  kind
• 8:04
  of
• 8:04
  stuff.
• 8:05
  But
• 8:05
  it's
• 8:05
  not
• 8:05
  really
• 8:06
  connected
• 8:06
  into
• 8:06
  the
• 8:06
  physical
• 8:07
  world.
• 8:07
  Think
• 8:07
  about
• 8:08
  it.
• 8:09
  Think
• 8:09
  about
• 8:10
  being
• 8:10
  trained
• 8:11
  on.
• 8:11
  On
• 8:12
  physical
• 8:13
  things,
• 8:13
  on
• 8:14
  where
• 8:14
  the
• 8:14
  things
• 8:14
  are
• 8:15
  and
• 8:15
  their
• 8:15
  condition.
• 8:16
  This
• 8:16
  is
• 8:16
  sort
• 8:17
  of
• 8:17
  the
• 8:17
  realm
• 8:17
  of
• 8:17
  physical
• 8:18
  AI.
• 8:18
  So
• 8:19
  physical
• 8:19
  AI
• 8:19
  is
• 8:19
  like
• 8:20
  a.
• 8:20
  It's
• 8:20
  like
• 8:20
  a
• 8:21
  derivative
• 8:21
  of
• 8:21
  the
• 8:21
  digital
• 8:22
  AI.
• 8:22
  It's
• 8:22
  like
• 8:22
  taking
• 8:23
  digital
• 8:23
  AI,
• 8:24
  adding
• 8:24
  ambient
• 8:25
  IoT,
• 8:25
  connecting
• 8:26
  them
• 8:26
  together,
• 8:26
  and
• 8:26
  then
• 8:26
  you
• 8:27
  get
• 8:27
  that
• 8:27
  physical
• 8:27
  AI.
• 8:28
  I
• 8:28
  love
• 8:28
  that.
• 8:28
  I
• 8:28
  love
• 8:28
  how
• 8:29
  you
• 8:29
  said
• 8:29
  that.
• 8:29
  It's
• 8:29
  like,
• 8:29
  it's
• 8:30
  like
• 8:30
  connecting
• 8:30
  the
• 8:30
  whole
• 8:31
  thing.
• 8:31
  So,
• 8:31
  so
• 8:31
  basically,
• 8:32
  so
• 8:32
  what
• 8:32
  you're
• 8:32
  saying
• 8:32
  then
• 8:33
  is
• 8:33
  now
• 8:33
  we
• 8:33
  have
• 8:33
  the
• 8:33
  capabilities
• 8:34
  as
• 8:35
  retailers,
• 8:35
  or
• 8:36
  actually
• 8:36
  as
• 8:36
  people
• 8:37
  in
• 8:37
  general
• 8:37
  walking
• 8:38
  around
• 8:38
  in
• 8:38
  our
• 8:38
  daily
• 8:39
  lives
• 8:40
  to
• 8:40
  connect
• 8:40
  all
• 8:40
  these
• 8:41
  things
• 8:41
  together.
• 8:41
  We
• 8:42
  can
• 8:42
  use
• 8:42
  the,
• 8:42
  the
• 8:43
  information
• 8:43
  we're
• 8:43
  gathering
• 8:44
  from
• 8:44
  the
• 8:44
  ambient
• 8:44
  IoT
• 8:45
  sources,
• 8:46
  combine
• 8:46
  it
• 8:47
  with
• 8:47
  the
• 8:47
  data
• 8:47
  we're
• 8:48
  getting
• 8:48
  from
• 8:48
  either
• 8:49
  digital
• 8:49
  processing
• 8:50
  of
• 8:50
  information,
• 8:51
  say
• 8:51
  large
• 8:52
  language
• 8:52
  models,
• 8:53
  for
• 8:53
  example,
• 8:53
  or
• 8:53
  even
• 8:54
  computer
• 8:54
  vision,
• 8:55
  AI,
• 8:55
  camera
• 8:55
  systems
• 8:56
  inside
• 8:56
  of
• 8:56
  a
• 8:56
  store,
• 8:57
  tracking
• 8:58
  and
• 8:58
  identifying
• 8:59
  people
• 8:59
  or
• 8:59
  products
• 9:00
  in
• 9:00
  space.
• 9:00
  We
• 9:00
  can
• 9:00
  combine
• 9:01
  that
• 9:01
  all
• 9:01
  together
• 9:01
  to
• 9:02
  create
• 9:02
  this
• 9:02
  new
• 9:02
  idea
• 9:03
  that
• 9:03
  you,
• 9:03
  you
• 9:04
  guys
• 9:04
  are
• 9:04
  calling
• 9:05
  physical
• 9:05
  AI.
• 9:06
  And
• 9:06
  the
• 9:06
  manifestation
• 9:07
  of
• 9:07
  that.
• 9:08
  Absolutely.
• 9:09
  That
• 9:09
  leads
• 9:09
  into
• 9:10
  my
• 9:10
  next
• 9:10
  question
• 9:10
  is,
• 9:11
  you
• 9:11
  know,
• 9:11
  what
• 9:11
  is
• 9:12
  the
• 9:12
  consumer
• 9:12
  seeing?
• 9:13
  What
• 9:13
  is
• 9:13
  the
• 9:13
  shopper
• 9:14
  seeing
• 9:14
  as
• 9:15
  a
• 9:15
  result
• 9:15
  of
• 9:15
  a
• 9:16
  retailer
• 9:16
  who's
• 9:16
  made
• 9:17
  this
• 9:17
  investment
• 9:18
  in
• 9:18
  these,
• 9:19
  these
• 9:19
  multiple
• 9:20
  points
• 9:20
  of
• 9:20
  contact
• 9:21
  into
• 9:21
  the
• 9:22
  digital
• 9:22
  AI,
• 9:23
  the
• 9:23
  physical
• 9:23
  AI
• 9:24
  and
• 9:24
  the
• 9:25
  Bluetooth
• 9:25
  beacons
• 9:26
  and
• 9:26
  Internet
• 9:27
  of
• 9:27
  things
• 9:27
  that
• 9:27
  they
• 9:27
  have
• 9:27
  working
• 9:28
  here
• 9:28
  in
• 9:28
  the
• 9:28
  store?
• 9:28
  What
• 9:29
  happens
• 9:29
  for
• 9:29
  me
• 9:29
  when
• 9:30
  I,
• 9:30
  when
• 9:30
  I'm
• 9:30
  in
• 9:30
  the,
• 9:31
  the
• 9:31
  store,
• 9:32
  I
• 9:32
  think.
• 9:33
  The
• 9:33
  simplest
• 9:33
  way
• 9:33
  to
• 9:34
  look
• 9:34
  at
• 9:34
  it
• 9:34
  is,
• 9:34
  is
• 9:35
  this
• 9:36
  everything
• 9:36
  retailers
• 9:37
  are,
• 9:37
  are
• 9:38
  doing
• 9:38
  with
• 9:38
  physical
• 9:39
  AI,
• 9:40
  it
• 9:40
  ultimately
• 9:41
  shows
• 9:41
  up
• 9:41
  as
• 9:41
  just
• 9:42
  a
• 9:42
  better
• 9:42
  shopping
• 9:43
  experience.
• 9:44
  So
• 9:44
  technology
• 9:45
  may
• 9:46
  probably
• 9:46
  sit
• 9:47
  around
• 9:47
  behind
• 9:48
  the
• 9:48
  scenes,
• 9:48
  but
• 9:48
  the
• 9:49
  benefits,
• 9:49
  they
• 9:50
  land
• 9:50
  squarely
• 9:51
  with
• 9:51
  you,
• 9:51
  with
• 9:52
  the
• 9:52
  customer.
• 9:52
  I
• 9:52
  think
• 9:52
  the
• 9:53
  magic
• 9:53
  of
• 9:53
  physical
• 9:53
  AI
• 9:54
  is
• 9:54
  that
• 9:54
  improves
• 9:55
  customer
• 9:55
  experience
• 9:56
  without
• 9:56
  you
• 9:56
  even
• 9:57
  being
• 9:57
  knowing
• 9:57
  like
• 9:57
  you
• 9:58
  don't
• 9:58
  knowing
• 9:59
  what
• 9:59
  physical
• 9:59
  AI
• 10:00
  even
• 10:00
  is.
• 10:01
  I
• 10:01
  can
• 10:02
  give
• 10:02
  you
• 10:02
  some
• 10:02
  examples
• 10:02
  so
• 10:03
  we
• 10:03
  can
• 10:03
  dive
• 10:03
  in.
• 10:04
  So
• 10:05
  first,
• 10:06
  as
• 10:07
  you
• 10:07
  as
• 10:08
  a
• 10:08
  shopper,
• 10:08
  you'll
• 10:09
  see
• 10:09
  fewer
• 10:09
  out
• 10:10
  of
• 10:10
  stocks
• 10:10
  and
• 10:11
  more
• 10:11
  consistent
• 10:12
  availability.
• 10:13
  You
• 10:13
  know,
• 10:13
  so
• 10:13
  when
• 10:14
  the
• 10:14
  retailers,
• 10:14
  they
• 10:14
  know
• 10:15
  exactly
• 10:15
  what's
• 10:15
  in
• 10:15
  the
• 10:15
  building,
• 10:16
  what
• 10:16
  needs
• 10:16
  to
• 10:17
  be
• 10:17
  replenished
• 10:17
  so
• 10:18
  the
• 10:18
  shelves
• 10:19
  to
• 10:19
  stay
• 10:19
  full.
• 10:20
  So
• 10:20
  you
• 10:20
  and
• 10:21
  me
• 10:21
  and
• 10:21
  I
• 10:21
  suffer
• 10:22
  this
• 10:22
  a
• 10:22
  lot.
• 10:22
  You
• 10:22
  will
• 10:23
  waste,
• 10:24
  waste
• 10:24
  less
• 10:24
  time
• 10:25
  hunting
• 10:25
  for
• 10:25
  items.
• 10:26
  You
• 10:26
  know,
• 10:27
  take
• 10:27
  me,
• 10:27
  takes
• 10:28
  me
• 10:28
  a
• 10:28
  lot
• 10:28
  of
• 10:28
  time.
• 10:28
  Always
• 10:29
  when
• 10:29
  I
• 10:29
  go
• 10:29
  to
• 10:29
  places,
• 10:30
  I,
• 10:30
  I
• 10:30
  say,
• 10:31
  I
• 10:31
  wish
• 10:31
  that
• 10:31
  I
• 10:31
  could
• 10:32
  just
• 10:32
  speak
• 10:32
  to
• 10:32
  AI
• 10:33
  to
• 10:33
  find
• 10:33
  that
• 10:33
  thing
• 10:33
  that
• 10:34
  I'm
• 10:34
  looking
• 10:34
  for.
• 10:34
  You
• 10:34
  know,
• 10:34
  it's
• 10:35
  just,
• 10:36
  yeah.
• 10:39
  Second,
• 10:39
  you
• 10:40
  know,
• 10:40
  you'll
• 10:40
  get
• 10:40
  more
• 10:41
  fresh
• 10:41
  food,
• 10:41
  you
• 10:42
  know,
• 10:42
  because
• 10:42
  I
• 10:43
  mentioned,
• 10:43
  you
• 10:43
  know,
• 10:43
  the,
• 10:44
  the
• 10:44
  freshness
• 10:44
  and,
• 10:44
  and,
• 10:45
  and
• 10:46
  that
• 10:46
  status
• 10:47
  of
• 10:47
  food.
• 10:47
  Of
• 10:47
  course,
• 10:48
  monitor
• 10:48
  temperature
• 10:49
  so
• 10:49
  you'll
• 10:49
  get
• 10:50
  better
• 10:51
  produce.
• 10:52
  You
• 10:52
  know,
• 10:53
  the
• 10:53
  entire
• 10:53
  process
• 10:53
  of
• 10:54
  click
• 10:54
  and
• 10:55
  collect
• 10:55
  that
• 10:55
  home
• 10:55
  delivery
• 10:56
  experience,
• 10:56
  it
• 10:56
  will
• 10:57
  be
• 10:57
  better
• 10:57
  because,
• 10:58
  you
• 10:58
  know,
• 10:58
  when
• 10:58
  retailers
• 10:59
  have
• 10:59
  the
• 10:59
  real
• 10:59
  time
• 10:59
  visibility,
• 11:01
  they
• 11:01
  can
• 11:01
  assemble
• 11:02
  orders
• 11:02
  more
• 11:02
  accurately
• 11:03
  so
• 11:04
  they
• 11:04
  can
• 11:04
  ensure
• 11:05
  that
• 11:05
  items
• 11:06
  show
• 11:06
  up
• 11:06
  together
• 11:07
  and
• 11:07
  in
• 11:07
  the
• 11:07
  right
• 11:08
  condition.
• 11:09
  You
• 11:09
  know,
• 11:09
  it
• 11:09
  will
• 11:09
  mean
• 11:09
  also
• 11:10
  fewer
• 11:10
  errors
• 11:11
  for
• 11:11
  customers
• 11:12
  overall,
• 11:13
  fewer
• 11:13
  misspeaks,
• 11:14
  mystery
• 11:15
  delays
• 11:16
  and
• 11:16
  all
• 11:16
  this.
• 11:17
  And
• 11:17
  again,
• 11:17
  it
• 11:17
  will
• 11:18
  be
• 11:18
  invisible
• 11:18
  to
• 11:18
  you.
• 11:19
  You're
• 11:19
  not
• 11:19
  going
• 11:19
  to
• 11:19
  see
• 11:20
  sensors,
• 11:20
  you're
• 11:20
  not
• 11:21
  going
• 11:21
  to
• 11:21
  see
• 11:21
  any
• 11:21
  data
• 11:21
  pipelines.
• 11:23
  What
• 11:23
  you'll
• 11:23
  notice
• 11:23
  is
• 11:24
  just
• 11:24
  a
• 11:24
  better
• 11:24
  experience.
• 11:25
  I
• 11:25
  mean,
• 11:25
  I
• 11:25
  think
• 11:25
  this
• 11:25
  is
• 11:26
  really
• 11:26
  important
• 11:26
  too.
• 11:27
  Now
• 11:27
  Doran,
• 11:27
  as
• 11:28
  we're
• 11:28
  talking
• 11:28
  about
• 11:28
  the,
• 11:30
  the
• 11:30
  number
• 11:30
  of
• 11:30
  households
• 11:31
  that
• 11:31
  are
• 11:32
  looking
• 11:32
  for
• 11:32
  especially
• 11:33
  fresh
• 11:34
  foods
• 11:34
  inside
• 11:34
  of
• 11:34
  grocery
• 11:35
  right
• 11:35
  now.
• 11:35
  I
• 11:35
  think
• 11:36
  retailers
• 11:36
  have
• 11:37
  to
• 11:37
  be
• 11:37
  even
• 11:37
  more
• 11:38
  diligent
• 11:39
  about
• 11:39
  making
• 11:40
  sure
• 11:40
  that
• 11:40
  they
• 11:40
  have
• 11:40
  good
• 11:41
  inventory,
• 11:41
  they're
• 11:42
  reducing
• 11:42
  waste
• 11:44
  and
• 11:44
  that
• 11:44
  they're
• 11:44
  getting
• 11:45
  as
• 11:45
  many
• 11:45
  products
• 11:45
  on
• 11:46
  the
• 11:46
  shelves
• 11:46
  because
• 11:47
  you
• 11:47
  know,
• 11:47
  you
• 11:47
  guys
• 11:48
  just
• 11:48
  had
• 11:48
  a
• 11:48
  big
• 11:48
  launch
• 11:49
  with
• 11:49
  Walmart
• 11:49
  recently
• 11:50
  and
• 11:50
  that's
• 11:50
  something
• 11:51
  that
• 11:51
  we're
• 11:51
  hearing
• 11:51
  from
• 11:51
  consumers
• 11:52
  in
• 11:52
  the
• 11:53
  news.
• 11:53
  Like
• 11:53
  they
• 11:54
  are
• 11:54
  going
• 11:54
  to
• 11:54
  Walmart
• 11:55
  because
• 11:55
  they're
• 11:55
  able
• 11:55
  to
• 11:55
  get
• 11:56
  the
• 11:56
  things
• 11:56
  that
• 11:57
  I've
• 11:57
  been
• 11:57
  out
• 11:57
  of
• 11:57
  stock
• 11:57
  on
• 11:58
  other
• 11:58
  shelves,
• 11:59
  other
• 11:59
  grocer
• 12:00
  shelves
• 12:00
  because
• 12:01
  of
• 12:01
  things
• 12:01
  like
• 12:02
  not
• 12:02
  having
• 12:02
  this
• 12:03
  full
• 12:03
  visibility
• 12:04
  to
• 12:04
  the
• 12:05
  location,
• 12:06
  the
• 12:06
  temperature,
• 12:07
  the
• 12:07
  status,
• 12:07
  you
• 12:08
  know,
• 12:08
  the,
• 12:08
  the
• 12:09
  placement
• 12:09
  of
• 12:09
  all
• 12:09
  the
• 12:10
  products
• 12:10
  within
• 12:10
  their
• 12:11
  store.
• 12:11
  I
• 12:12
  imagine
• 12:12
  that's
• 12:12
  something
• 12:13
  that
• 12:13
  you
• 12:13
  are
• 12:13
  hearing
• 12:14
  too
• 12:14
  as
• 12:15
  you
• 12:15
  are
• 12:15
  rolling
• 12:15
  out
• 12:15
  to
• 12:16
  more
• 12:16
  of
• 12:16
  these
• 12:16
  Walmart
• 12:17
  stores.
• 12:17
  Is
• 12:17
  that
• 12:17
  true?
• 12:18
  Absolutely.
• 12:19
  Both
• 12:19
  from
• 12:19
  the
• 12:20
  retailer's
• 12:21
  perspective
• 12:21
  and
• 12:22
  from
• 12:23
  the
• 12:24
  customers,
• 12:24
  shoppers.
• 12:26
  Course
• 12:26
  this
• 12:26
  whole
• 12:26
  conversation
• 12:27
  reminds
• 12:27
  me
• 12:27
  of
• 12:27
  that
• 12:27
  old
• 12:28
  adage
• 12:28
  that,
• 12:28
  you
• 12:28
  know,
• 12:29
  good
• 12:29
  omnichannel
• 12:30
  retailing.
• 12:30
  When
• 12:30
  you
• 12:30
  don't
• 12:31
  see
• 12:31
  it,
• 12:31
  that's
• 12:31
  essentially
• 12:32
  what
• 12:32
  you're
• 12:32
  saying
• 12:32
  to
• 12:32
  Roan
• 12:33
  and,
• 12:33
  and,
• 12:33
  but
• 12:33
  I'm,
• 12:34
  but
• 12:34
  the
• 12:34
  funny
• 12:34
  thing
• 12:35
  about
• 12:35
  that
• 12:35
  is
• 12:35
  like
• 12:35
  from
• 12:35
  a
• 12:36
  customer
• 12:36
  perspective,
• 12:37
  that's
• 12:37
  true
• 12:37
  and
• 12:37
  that's
• 12:38
  what
• 12:38
  we
• 12:38
  want.
• 12:38
  We
• 12:38
  don't
• 12:39
  want
• 12:39
  the
• 12:39
  customers
• 12:39
  to
• 12:39
  see
• 12:39
  it,
• 12:40
  but
• 12:40
  on
• 12:40
  the
• 12:40
  flip
• 12:41
  side,
• 12:41
  the
• 12:41
  people
• 12:41
  that
• 12:42
  we
• 12:42
  do
• 12:42
  want
• 12:42
  to
• 12:42
  see
• 12:42
  it
• 12:43
  and
• 12:43
  understand
• 12:43
  the
• 12:43
  efficiencies
• 12:44
  are
• 12:44
  the
• 12:44
  store
• 12:44
  operators.
• 12:46
  So,
• 12:46
  so
• 12:46
  tell
• 12:46
  me,
• 12:47
  how
• 12:47
  does
• 12:47
  this
• 12:47
  make
• 12:47
  the
• 12:47
  day
• 12:48
  to
• 12:48
  day
• 12:48
  lives
• 12:48
  of
• 12:49
  the
• 12:49
  store
• 12:49
  operators
• 12:49
  or
• 12:50
  the
• 12:50
  store
• 12:50
  employees
• 12:51
  better?
• 12:51
  I
• 12:51
  said
• 12:52
  it
• 12:52
  before,
• 12:52
  but
• 12:52
  physical
• 12:52
  AI
• 12:53
  doesn't
• 12:54
  replace
• 12:54
  people,
• 12:55
  it
• 12:55
  empowers
• 12:56
  them.
• 12:57
  So
• 12:57
  let's
• 12:58
  think
• 12:58
  about
• 12:58
  warehouse
• 12:59
  and
• 12:59
  store
• 13:00
  teams,
• 13:01
  store
• 13:01
  managers.
• 13:02
  The
• 13:02
  biggest
• 13:03
  impact
• 13:04
  similar,
• 13:05
  I
• 13:05
  think
• 13:05
  to
• 13:06
  the
• 13:06
  customers
• 13:06
  is
• 13:06
  simplicity.
• 13:07
  And
• 13:08
  I
• 13:08
  think
• 13:08
  the
• 13:09
  most
• 13:09
  straightforward
• 13:09
  thing
• 13:10
  to
• 13:10
  think
• 13:10
  about
• 13:10
  is
• 13:10
  just
• 13:11
  less
• 13:11
  manual
• 13:11
  work.
• 13:12
  So
• 13:13
  for
• 13:13
  them,
• 13:13
  for
• 13:13
  these
• 13:13
  teams,
• 13:14
  it's
• 13:14
  no
• 13:14
  more
• 13:15
  searching
• 13:15
  for
• 13:16
  missing
• 13:16
  pallets,
• 13:17
  walking
• 13:18
  around
• 13:18
  scanning
• 13:19
  things
• 13:19
  or
• 13:19
  guessing
• 13:20
  what
• 13:20
  to
• 13:20
  restock,
• 13:21
  manually
• 13:22
  checking
• 13:22
  temperatures.
• 13:23
  The
• 13:23
  system
• 13:24
  does
• 13:24
  all
• 13:24
  of
• 13:24
  this
• 13:24
  automatically.
• 13:25
  We
• 13:25
  can
• 13:25
  also
• 13:26
  think
• 13:26
  about,
• 13:26
  you
• 13:26
  know,
• 13:28
  you
• 13:28
  can
• 13:28
  think
• 13:28
  about
• 13:28
  a
• 13:28
  Live
• 13:29
  operational
• 13:30
  picture.
• 13:30
  So
• 13:31
  it
• 13:31
  gives
• 13:31
  the
• 13:31
  operators
• 13:33
  a
• 13:33
  sort
• 13:33
  of
• 13:33
  clear
• 13:34
  real
• 13:34
  time
• 13:34
  picture
• 13:34
  of
• 13:34
  what's
• 13:35
  happening
• 13:35
  in
• 13:35
  the
• 13:35
  warehouse
• 13:35
  of
• 13:36
  the
• 13:36
  store.
• 13:36
  So
• 13:37
  for
• 13:37
  example,
• 13:37
  the
• 13:37
  associates
• 13:38
  will
• 13:38
  know
• 13:39
  what
• 13:39
  just
• 13:39
  arrived,
• 13:40
  needs
• 13:40
  to
• 13:40
  be
• 13:41
  moved,
• 13:41
  what's
• 13:42
  out
• 13:42
  of
• 13:42
  range,
• 13:42
  what's
• 13:43
  sitting
• 13:43
  for
• 13:43
  too
• 13:43
  long,
• 13:44
  of
• 13:44
  course,
• 13:44
  freshness,
• 13:45
  compliance
• 13:45
  to
• 13:46
  get
• 13:46
  better.
• 13:46
  So
• 13:46
  they
• 13:46
  don't
• 13:46
  need
• 13:47
  to
• 13:47
  scan
• 13:47
  and
• 13:47
  only
• 13:48
  to
• 13:48
  see
• 13:48
  if
• 13:48
  something
• 13:49
  is
• 13:49
  out
• 13:49
  of
• 13:49
  compliance
• 13:50
  because
• 13:50
  they
• 13:50
  would
• 13:50
  know.
• 13:51
  It's
• 13:51
  very
• 13:51
  hard
• 13:51
  to
• 13:52
  know.
• 13:52
  Sometimes
• 13:52
  we
• 13:52
  have
• 13:53
  just
• 13:53
  really
• 13:53
  great
• 13:53
  examples.
• 13:54
  Sometimes
• 13:54
  you
• 13:54
  would
• 13:55
  see
• 13:55
  strawberries,
• 13:55
  for
• 13:56
  example.
• 13:56
  Strawberries,
• 13:57
  you
• 13:58
  can
• 13:58
  see
• 13:58
  them
• 13:58
  well
• 13:59
  and
• 14:00
  they
• 14:00
  go,
• 14:00
  let's
• 14:01
  say
• 14:01
  for
• 14:01
  example,
• 14:01
  they
• 14:02
  go
• 14:02
  into
• 14:02
  the
• 14:02
  truck,
• 14:02
  they
• 14:03
  being
• 14:03
  mishandled,
• 14:04
  so
• 14:04
  they're
• 14:04
  being
• 14:04
  frozen
• 14:05
  accidentally.
• 14:05
  They're
• 14:06
  not
• 14:06
  supposed
• 14:06
  to
• 14:06
  be
• 14:06
  frozen,
• 14:07
  but
• 14:07
  something
• 14:07
  in
• 14:07
  the
• 14:07
  AC
• 14:08
  of
• 14:08
  the
• 14:08
  truck
• 14:08
  doesn't
• 14:09
  go
• 14:09
  well.
• 14:10
  And
• 14:10
  when
• 14:10
  they
• 14:11
  leave
• 14:11
  the
• 14:11
  truck,
• 14:12
  they're
• 14:13
  not
• 14:13
  being
• 14:13
  frozen
• 14:14
  anymore.
• 14:15
  And
• 14:15
  this
• 14:16
  actually,
• 14:16
  this
• 14:16
  process
• 14:16
  of
• 14:17
  being
• 14:17
  frozen
• 14:17
  and
• 14:17
  not
• 14:18
  damages
• 14:18
  the
• 14:19
  quality
• 14:20
  of
• 14:20
  the
• 14:20
  strawberries.
• 14:21
  So
• 14:21
  if
• 14:21
  you
• 14:21
  don't
• 14:22
  have
• 14:22
  that
• 14:22
  tracking,
• 14:23
  you'll
• 14:23
  be
• 14:23
  in
• 14:23
  the
• 14:23
  store
• 14:24
  and
• 14:24
  you
• 14:24
  see,
• 14:24
  oh,
• 14:24
  strawberries
• 14:25
  look
• 14:25
  good,
• 14:26
  but
• 14:26
  in
• 14:26
  fact
• 14:26
  they're
• 14:27
  not.
• 14:28
  And
• 14:28
  with
• 14:28
  real
• 14:28
  time,
• 14:29
  with
• 14:29
  physical
• 14:29
  AI,
• 14:30
  you
• 14:30
  can
• 14:31
  track
• 14:31
  that
• 14:31
  temperature
• 14:32
  in
• 14:32
  real
• 14:32
  time
• 14:33
  and
• 14:33
  the
• 14:33
  AI
• 14:33
  will
• 14:34
  detect
• 14:34
  it
• 14:34
  and
• 14:34
  tell
• 14:34
  you,
• 14:34
  hey,
• 14:35
  this
• 14:35
  is
• 14:36
  not
• 14:36
  fresh
• 14:37
  or
• 14:37
  you
• 14:37
  should
• 14:37
  not
• 14:37
  use
• 14:37
  it.
• 14:38
  It's
• 14:38
  cool
• 14:38
  because
• 14:39
  it
• 14:39
  gives
• 14:39
  me
• 14:39
  this
• 14:39
  vision
• 14:39
  of
• 14:40
  like
• 14:40
  something
• 14:40
  that
• 14:40
  I've
• 14:40
  always
• 14:41
  wanted
• 14:41
  to
• 14:41
  see
• 14:41
  like
• 14:41
  in
• 14:41
  retail,
• 14:42
  like
• 14:42
  a
• 14:42
  huge
• 14:43
  mission
• 14:43
  control
• 14:44
  board.
• 14:44
  Like
• 14:44
  in
• 14:44
  those
• 14:44
  movies
• 14:45
  where
• 14:45
  you
• 14:45
  see
• 14:45
  like
• 14:46
  people
• 14:46
  that
• 14:46
  operate
• 14:46
  train
• 14:47
  lines
• 14:47
  or
• 14:47
  subway
• 14:48
  lines
• 14:48
  where
• 14:48
  they
• 14:48
  see
• 14:48
  all
• 14:48
  their
• 14:49
  trains
• 14:49
  going
• 14:49
  in
• 14:49
  all
• 14:49
  these
• 14:49
  different
• 14:50
  directions
• 14:50
  that
• 14:50
  they
• 14:50
  know
• 14:50
  where
• 14:50
  they
• 14:50
  are
• 14:51
  at
• 14:51
  all
• 14:51
  times.
• 14:51
  It's
• 14:52
  the
• 14:52
  same
• 14:52
  way
• 14:52
  we
• 14:52
  could
• 14:52
  think
• 14:53
  about
• 14:53
  inventory.
• 14:53
  Like
• 14:53
  we
• 14:53
  can
• 14:54
  understand
• 14:54
  all
• 14:54
  the
• 14:54
  exceptions
• 14:55
  that
• 14:55
  need
• 14:55
  to
• 14:55
  be
• 14:55
  managed
• 14:56
  throughout
• 14:57
  the
• 14:57
  day
• 14:57
  in
• 14:57
  a
• 14:58
  given
• 14:58
  store
• 14:58
  at
• 14:58
  a
• 14:58
  given
• 14:59
  time.
• 14:59
  And
• 14:59
  that's
• 14:59
  just,
• 14:59
  this
• 15:00
  is
• 15:00
  really
• 15:00
  cool
• 15:00
  to
• 15:00
  think
• 15:00
  about.
• 15:01
  So,
• 15:02
  all
• 15:02
  right,
• 15:02
  so
• 15:02
  I'm
• 15:02
  curious
• 15:02
  then.
• 15:03
  So
• 15:03
  like
• 15:04
  both,
• 15:04
  all
• 15:04
  that
• 15:05
  said,
• 15:05
  so
• 15:05
  if
• 15:05
  we
• 15:05
  get
• 15:05
  into
• 15:05
  like,
• 15:06
  if
• 15:06
  we
• 15:06
  buy
• 15:06
  into
• 15:07
  the
• 15:07
  idea
• 15:07
  of
• 15:07
  physical
• 15:07
  AI,
• 15:08
  like
• 15:09
  how
• 15:10
  should
• 15:10
  I
• 15:10
  as
• 15:10
  a
• 15:10
  retailer
• 15:11
  prioritize
• 15:12
  my
• 15:12
  investment
• 15:13
  to
• 15:13
  make
• 15:14
  this
• 15:14
  kind
• 15:14
  of
• 15:14
  mission
• 15:15
  control
• 15:15
  vision
• 15:16
  possible?
• 15:17
  Like
• 15:17
  where
• 15:17
  do
• 15:17
  I
• 15:18
  start?
• 15:18
  Where
• 15:19
  do
• 15:19
  I
• 15:19
  go
• 15:19
  next?
• 15:20
  As
• 15:20
  I'm
• 15:20
  thinking
• 15:20
  about
• 15:21
  investing
• 15:21
  in
• 15:21
  the
• 15:21
  various
• 15:22
  solutions
• 15:22
  that
• 15:22
  bring
• 15:23
  this
• 15:23
  about
• 15:24
  your.
• 15:24
  Comment
• 15:25
  about
• 15:25
  that,
• 15:25
  you
• 15:25
  know,
• 15:25
  big
• 15:26
  screen
• 15:27
  that
• 15:27
  you
• 15:27
  can
• 15:27
  actually
• 15:27
  see
• 15:28
  in
• 15:28
  that
• 15:28
  store
• 15:28
  where
• 15:29
  everything
• 15:29
  goes,
• 15:29
  I
• 15:30
  genuinely
• 15:30
  believe
• 15:30
  where
• 15:31
  going
• 15:31
  there.
• 15:32
  And
• 15:32
  yeah,
• 15:33
  this,
• 15:33
  you
• 15:33
  know,
• 15:33
  it's,
• 15:33
  it's
• 15:34
  a
• 15:34
  long
• 15:34
  path.
• 15:34
  We
• 15:35
  get
• 15:35
  there
• 15:35
  and,
• 15:35
  and
• 15:36
  to
• 15:36
  answer
• 15:36
  your
• 15:36
  question,
• 15:36
  we
• 15:37
  start
• 15:37
  with
• 15:37
  a
• 15:37
  small
• 15:37
  step.
• 15:38
  We're
• 15:38
  not
• 15:38
  going
• 15:38
  to
• 15:38
  jump
• 15:39
  ahead
• 15:39
  into
• 15:39
  something
• 15:40
  that
• 15:40
  is
• 15:41
  is
• 15:41
  too
• 15:41
  complex
• 15:42
  because
• 15:42
  I
• 15:42
  think
• 15:43
  this
• 15:43
  is
• 15:43
  probably
• 15:43
  a
• 15:44
  mistake
• 15:44
  that
• 15:44
  retailers
• 15:45
  would
• 15:45
  do
• 15:45
  because
• 15:45
  we
• 15:46
  have
• 15:46
  an
• 15:46
  amazing
• 15:46
  technology.
• 15:47
  Ambientality
• 15:48
  is
• 15:49
  tremendous
• 15:50
  and
• 15:50
  amazing
• 15:50
  and
• 15:50
  gets
• 15:51
  better.
• 15:52
  And
• 15:52
  of
• 15:53
  course
• 15:53
  AI
• 15:53
  gets
• 15:53
  better,
• 15:54
  the
• 15:54
  models
• 15:54
  get
• 15:54
  better,
• 15:55
  so
• 15:55
  their
• 15:55
  combination
• 15:55
  is
• 15:56
  better.
• 15:56
  And
• 15:56
  it's
• 15:57
  very
• 15:57
  tempting
• 15:57
  into
• 15:57
  jumping
• 15:58
  into
• 15:58
  many
• 15:58
  use
• 15:59
  cases
• 15:59
  and
• 15:59
  trying
• 15:59
  different
• 16:00
  things
• 16:01
  and
• 16:01
  trying
• 16:02
  to
• 16:02
  scale
• 16:02
  them
• 16:03
  fast.
• 16:03
  And
• 16:04
  this
• 16:04
  is
• 16:04
  where
• 16:04
  I
• 16:04
  think
• 16:06
  we
• 16:07
  should
• 16:07
  do
• 16:07
  differently.
• 16:08
  I
• 16:08
  think
• 16:08
  the,
• 16:09
  you
• 16:09
  know,
• 16:09
  if
• 16:09
  a
• 16:09
  retailer
• 16:10
  is
• 16:10
  willing
• 16:10
  to
• 16:11
  invest
• 16:11
  in
• 16:12
  this,
• 16:12
  in
• 16:12
  physical
• 16:13
  AI,
• 16:14
  we
• 16:14
  should
• 16:14
  start
• 16:14
  small,
• 16:15
  should
• 16:15
  start
• 16:15
  identifying
• 16:16
  a
• 16:16
  real
• 16:17
  problem
• 16:18
  with
• 16:18
  a
• 16:19
  real
• 16:19
  business
• 16:19
  value,
• 16:20
  scope
• 16:20
  it
• 16:20
  well
• 16:21
  and
• 16:22
  use
• 16:22
  physical
• 16:22
  AI
• 16:23
  in
• 16:23
  order
• 16:24
  to
• 16:24
  solve
• 16:24
  that
• 16:24
  problem.
• 16:25
  If
• 16:25
  you
• 16:25
  solve
• 16:25
  that
• 16:25
  problem
• 16:26
  and
• 16:27
  you
• 16:27
  can
• 16:28
  see
• 16:28
  it
• 16:28
  generates
• 16:28
  some
• 16:29
  ROI
• 16:29
  and
• 16:29
  value,
• 16:29
  then
• 16:30
  you
• 16:30
  can
• 16:30
  scale
• 16:30
  into
• 16:31
  different
• 16:31
  use
• 16:31
  cases.
• 16:31
  I
• 16:32
  think
• 16:32
  that's
• 16:32
  the
• 16:32
  way,
• 16:32
  the
• 16:33
  right
• 16:33
  way
• 16:33
  to
• 16:33
  invest
• 16:34
  in
• 16:34
  this.
• 16:34
  We've
• 16:35
  been
• 16:35
  talking
• 16:35
  to
• 16:35
  a
• 16:36
  lot
• 16:36
  of
• 16:36
  retailers
• 16:36
  lately
• 16:37
  and
• 16:38
  one
• 16:38
  of
• 16:38
  the
• 16:38
  things
• 16:38
  that
• 16:39
  keeps
• 16:39
  coming
• 16:39
  up,
• 16:40
  especially
• 16:40
  in
• 16:40
  the
• 16:40
  grocery
• 16:41
  space
• 16:42
  is
• 16:43
  there's
• 16:44
  a
• 16:44
  lot
• 16:44
  of
• 16:44
  point
• 16:44
  solutions
• 16:45
  right
• 16:45
  now.
• 16:45
  There's
• 16:45
  a
• 16:46
  lot
• 16:46
  of
• 16:46
  dashboards
• 16:46
  like
• 16:46
  you
• 16:47
  were
• 16:47
  just
• 16:47
  talking
• 16:47
  about
• 16:47
  that
• 16:48
  are
• 16:48
  kind
• 16:48
  of
• 16:48
  feeding
• 16:49
  this
• 16:49
  main
• 16:50
  brain
• 16:50
  for
• 16:50
  the
• 16:51
  store
• 16:51
  operations
• 16:51
  of
• 16:51
  a
• 16:52
  store.
• 16:53
  As
• 16:53
  the,
• 16:53
  as
• 16:53
  the
• 16:54
  head
• 16:54
  of
• 16:54
  product
• 16:54
  here
• 16:55
  for
• 16:55
  what
• 16:56
  and
• 16:56
  what
• 16:56
  you're
• 16:56
  developing
• 16:57
  and
• 16:57
  building
• 16:58
  with
• 16:58
  Wiliot's
• 16:59
  technology,
• 16:59
  as
• 17:00
  you're
• 17:00
  thinking
• 17:00
  about
• 17:00
  bringing
• 17:01
  in
• 17:01
  this,
• 17:01
  this
• 17:02
  concept
• 17:02
  of
• 17:02
  physical
• 17:02
  AI
• 17:03
  into
• 17:03
  retailers,
• 17:04
  how
• 17:04
  do
• 17:04
  you
• 17:05
  think
• 17:05
  about
• 17:05
  how
• 17:06
  the
• 17:06
  information
• 17:07
  that
• 17:07
  you're
• 17:07
  gathering
• 17:08
  fits
• 17:08
  into
• 17:09
  or
• 17:10
  you
• 17:10
  know,
• 17:10
  is
• 17:10
  the,
• 17:11
  is
• 17:11
  a
• 17:11
  puzzle
• 17:11
  piece
• 17:12
  within
• 17:12
  the
• 17:12
  greater
• 17:12
  ecosystem
• 17:13
  for
• 17:13
  the
• 17:14
  store's
• 17:14
  operations?
• 17:15
  What
• 17:15
  are
• 17:15
  you
• 17:15
  doing
• 17:16
  in
• 17:16
  your
• 17:16
  work
• 17:16
  to
• 17:17
  make
• 17:17
  sure
• 17:17
  that
• 17:17
  it
• 17:17
  can
• 17:18
  be
• 17:18
  easily
• 17:18
  integrated?
• 17:19
  Well,
• 17:20
  I
• 17:20
  think
• 17:20
  everything
• 17:21
  we
• 17:21
  develop
• 17:21
  at
• 17:22
  product
• 17:22
  and
• 17:22
  the
• 17:22
  data
• 17:23
  products
• 17:23
  that
• 17:23
  we
• 17:23
  develop,
• 17:25
  we
• 17:27
  try
• 17:27
  to
• 17:27
  connect
• 17:28
  that
• 17:28
  into
• 17:28
  a
• 17:28
  real
• 17:29
  use
• 17:29
  case
• 17:29
  or
• 17:30
  real
• 17:30
  problem.
• 17:30
  I
• 17:30
  think
• 17:31
  Nick
• 17:32
  mentioned
• 17:32
  this
• 17:32
  before,
• 17:32
  we
• 17:33
  learned
• 17:33
  a
• 17:33
  lot
• 17:33
  from
• 17:33
  deployments
• 17:35
  like
• 17:35
  Walmart.
• 17:36
  So
• 17:36
  those
• 17:36
  learnings,
• 17:38
  they're
• 17:38
  built
• 17:39
  directly
• 17:40
  into
• 17:40
  the
• 17:40
  product.
• 17:41
  So
• 17:42
  simplifying
• 17:45
  infrastructure
• 17:45
  requirements
• 17:46
  or
• 17:46
  faster
• 17:46
  onboarding
• 17:47
  or
• 17:49
  integrating
• 17:49
  directly
• 17:50
  into
• 17:50
  the
• 17:51
  customers
• 17:53
  systems,
• 17:54
  you
• 17:54
  know,
• 17:54
  that's
• 17:55
  one,
• 17:55
  one
• 17:55
  thing
• 17:55
  we
• 17:55
  think
• 17:55
  about,
• 17:56
  I
• 17:56
  think
• 17:56
  Nick
• 17:56
  mentioned,
• 17:57
  you
• 17:57
  know,
• 17:58
  Walmart's
• 17:59
  native
• 17:59
  systems
• 18:00
  that
• 18:00
  we
• 18:00
  integrate
• 18:01
  into.
• 18:03
  So
• 18:03
  we
• 18:03
  keep
• 18:03
  that
• 18:03
  in
• 18:03
  mind
• 18:04
  all
• 18:04
  the
• 18:04
  time.
• 18:04
  The
• 18:05
  other
• 18:05
  point,
• 18:05
  the
• 18:05
  other
• 18:06
  point
• 18:06
  I
• 18:06
  want
• 18:06
  to
• 18:06
  get
• 18:06
  your
• 18:06
  take
• 18:07
  on
• 18:07
  here
• 18:07
  too
• 18:07
  because
• 18:07
  I
• 18:07
  think
• 18:07
  this
• 18:08
  has
• 18:08
  become,
• 18:08
  it's
• 18:09
  been
• 18:09
  confusing
• 18:09
  for
• 18:09
  me
• 18:09
  and
• 18:10
  I
• 18:10
  imagine
• 18:10
  is
• 18:10
  for
• 18:10
  some
• 18:11
  of
• 18:11
  our
• 18:11
  listeners
• 18:11
  too
• 18:11
  is
• 18:12
  there's
• 18:13
  the
• 18:13
  idea
• 18:13
  of
• 18:13
  like
• 18:13
  we
• 18:13
  say
• 18:14
  starts,
• 18:14
  we
• 18:14
  say
• 18:14
  start
• 18:15
  small.
• 18:15
  Right.
• 18:15
  You
• 18:16
  know,
• 18:16
  we
• 18:16
  say
• 18:16
  that
• 18:17
  but
• 18:17
  at
• 18:17
  the
• 18:17
  same
• 18:17
  time
• 18:18
  also
• 18:18
  we
• 18:18
  want
• 18:18
  to
• 18:18
  get,
• 18:19
  we're
• 18:20
  also
• 18:20
  leery
• 18:20
  of
• 18:20
  like
• 18:21
  just
• 18:21
  creating
• 18:23
  a
• 18:23
  set
• 18:23
  of
• 18:23
  just
• 18:24
  point
• 18:24
  to
• 18:24
  point
• 18:24
  solutions.
• 18:25
  That
• 18:25
  are
• 18:25
  just
• 18:25
  all
• 18:25
  over
• 18:25
  the
• 18:26
  place
• 18:26
  and
• 18:26
  you
• 18:26
  don't
• 18:26
  know
• 18:26
  where
• 18:26
  you're
• 18:27
  going.
• 18:27
  So
• 18:27
  the
• 18:27
  real
• 18:27
  thing
• 18:28
  here
• 18:28
  is
• 18:28
  to
• 18:29
  start
• 18:29
  small
• 18:29
  with
• 18:30
  a
• 18:30
  platform
• 18:30
  approach.
• 18:31
  Right.
• 18:31
  That
• 18:31
  you
• 18:31
  can
• 18:32
  then
• 18:32
  build
• 18:32
  upon
• 18:33
  that
• 18:33
  platform
• 18:33
  with
• 18:34
  more
• 18:34
  and
• 18:34
  more
• 18:34
  use
• 18:34
  cases.
• 18:35
  Is
• 18:35
  that
• 18:36
  the
• 18:36
  right
• 18:36
  way
• 18:36
  to
• 18:36
  think
• 18:37
  about
• 18:37
  this?
• 18:37
  Absolutely.
• 18:38
  Sometimes
• 18:38
  the
• 18:39
  hard
• 18:39
  things,
• 18:39
  it's
• 18:40
  like
• 18:40
  we
• 18:40
  can
• 18:40
  think
• 18:40
  about
• 18:41
  it
• 18:41
  like
• 18:41
  in
• 18:41
  physics
• 18:42
  you
• 18:42
  have
• 18:42
  static
• 18:42
  friction
• 18:43
  and,
• 18:44
  and
• 18:44
  kinetic,
• 18:45
  I
• 18:45
  guess,
• 18:45
  friction.
• 18:45
  The
• 18:46
  static
• 18:46
  friction
• 18:46
  usually
• 18:46
  the
• 18:47
  initializations
• 18:47
  and
• 18:48
  things.
• 18:48
  Integrations,
• 18:49
  security
• 18:49
  checks,
• 18:50
  integration
• 18:51
  into
• 18:51
  systems.
• 18:52
  This
• 18:52
  is
• 18:52
  what
• 18:52
  the
• 18:52
  Wiliot
• 18:53
  intelligence
• 18:53
  platform
• 18:54
  actually
• 18:56
  solves.
• 18:56
  It
• 18:57
  gives
• 18:57
  you
• 18:58
  a
• 18:58
  really
• 19:00
  accessible
• 19:00
  and
• 19:00
  easy
• 19:01
  way
• 19:01
  to
• 19:01
  manage
• 19:01
  your
• 19:02
  assets,
• 19:02
  manage
• 19:03
  your
• 19:03
  solutions,
• 19:04
  manage
• 19:04
  your
• 19:04
  insights.
• 19:06
  And
• 19:06
  you
• 19:06
  start
• 19:06
  there
• 19:07
  and
• 19:07
  you
• 19:07
  start
• 19:07
  with
• 19:07
  a
• 19:08
  small
• 19:08
  solution.
• 19:09
  Then
• 19:09
  you
• 19:09
  know,
• 19:10
  finding
• 19:10
  a
• 19:11
  new
• 19:11
  solution
• 19:11
  and
• 19:12
  scaling.
• 19:12
  This
• 19:12
  becomes
• 19:13
  easy
• 19:13
  when
• 19:13
  you
• 19:14
  start
• 19:14
  with
• 19:14
  something
• 19:16
  very
• 19:16
  dedicated.
• 19:17
  That's
• 19:17
  a
• 19:17
  really
• 19:17
  key
• 19:17
  point.
• 19:18
  I'm
• 19:18
  glad
• 19:18
  I.
• 19:18
  Okay,
• 19:19
  thank
• 19:19
  you
• 19:19
  for
• 19:19
  that.
• 19:19
  Yeah.
• 19:19
  Doran,
• 19:20
  how
• 19:20
  do
• 19:20
  you
• 19:21
  think
• 19:21
  about
• 19:21
  what's
• 19:22
  next
• 19:22
  in
• 19:23
  your
• 19:23
  roadmap
• 19:25
  as
• 19:25
  you're
• 19:25
  thinking
• 19:25
  about
• 19:26
  product
• 19:26
  and
• 19:27
  data
• 19:27
  and
• 19:28
  AI
• 19:28
  converging?
• 19:30
  What's
• 19:30
  on
• 19:30
  the
• 19:30
  roadmap
• 19:31
  for
• 19:31
  you
• 19:31
  and
• 19:31
  for
• 19:31
  Wiliot
• 19:32
  as
• 19:32
  you
• 19:32
  head
• 19:32
  into
• 19:33
  2026?
• 19:34
  Super
• 19:34
  exciting
• 19:34
  stuff,
• 19:35
  to
• 19:35
  be
• 19:35
  honest.
• 19:36
  Yeah,
• 19:36
  I
• 19:36
  bet.
• 19:37
  I
• 19:37
  think
• 19:37
  we're
• 19:37
  entering
• 19:38
  a
• 19:38
  moment
• 19:39
  where,
• 19:39
  you
• 19:39
  know,
• 19:40
  physical,
• 19:40
  the
• 19:41
  physical
• 19:41
  AI
• 19:42
  world
• 19:42
  intelligence
• 19:43
  becomes
• 19:44
  the
• 19:44
  new
• 19:44
  competitive
• 19:45
  edge.
• 19:46
  Not
• 19:46
  just
• 19:46
  digital
• 19:47
  analytics,
• 19:48
  not
• 19:48
  just,
• 19:48
  you
• 19:49
  know,
• 19:49
  forecasting
• 19:50
  or
• 19:51
  all
• 19:51
  that,
• 19:51
  but
• 19:52
  real
• 19:52
  time
• 19:52
  sensory,
• 19:53
  ground,
• 19:54
  truth,
• 19:54
  data.
• 19:56
  I
• 19:57
  just
• 19:57
  think,
• 19:57
  you
• 19:57
  know,
• 19:57
  that,
• 19:57
  you
• 19:58
  know,
• 19:58
  retailers
• 19:58
  who
• 19:58
  adopt
• 19:59
  this
• 19:59
  now
• 19:59
  are
• 20:00
  just
• 20:00
  building
• 20:00
  automated
• 20:01
  workflows
• 20:02
  like
• 20:02
  us,
• 20:02
  you
• 20:03
  know,
• 20:04
  smarter
• 20:04
  supply
• 20:05
  chains,
• 20:06
  almost
• 20:06
  self
• 20:07
  aware
• 20:07
  operations.
• 20:09
  I
• 20:09
  can't
• 20:09
  share
• 20:09
  too
• 20:09
  much
• 20:10
  yet,
• 20:11
  but
• 20:12
  what.
• 20:12
  But
• 20:12
  we're
• 20:13
  unveiling
• 20:13
  what
• 20:13
  we're
• 20:14
  unveiling.
• 20:14
  I
• 20:14
  guess
• 20:15
  we're
• 20:15
  heading
• 20:15
  into
• 20:17
  2026,
• 20:17
  which
• 20:18
  huge
• 20:18
  momentum
• 20:19
  and
• 20:19
  one
• 20:19
  of
• 20:19
  the
• 20:19
  biggest
• 20:19
  milestones
• 20:20
  is
• 20:20
  NRF
• 20:21
  this
• 20:22
  January
• 20:22
  2026.
• 20:23
  So
• 20:24
  we'll
• 20:24
  be
• 20:24
  announcing
• 20:25
  major
• 20:25
  updates.
• 20:26
  Both
• 20:26
  are
• 20:27
  IoT
• 20:28
  pixel
• 20:28
  technology,
• 20:29
  those
• 20:29
  little
• 20:30
  pixels
• 20:30
  computers,
• 20:31
  I
• 20:31
  guess
• 20:31
  and
• 20:32
  will
• 20:32
  it
• 20:33
  intelligence
• 20:33
  platform
• 20:35
  can't
• 20:35
  share
• 20:35
  too
• 20:35
  much
• 20:35
  yet,
• 20:36
  even
• 20:36
  though
• 20:36
  I
• 20:36
  really
• 20:36
  want
• 20:37
  to.
• 20:38
  What
• 20:38
  we're
• 20:39
  unveiling
• 20:39
  represents
• 20:40
  a
• 20:40
  significant
• 20:41
  improvements,
• 20:41
  you
• 20:42
  know,
• 20:42
  in
• 20:42
  performance,
• 20:43
  in
• 20:43
  range,
• 20:43
  accuracy,
• 20:44
  AI
• 20:44
  processing,
• 20:45
  both
• 20:45
  attacks
• 20:46
  and
• 20:46
  the
• 20:46
  platform
• 20:47
  itself.
• 20:48
  And
• 20:49
  just
• 20:49
  you
• 20:49
  know,
• 20:49
  as
• 20:50
  important
• 20:51
  importantly,
• 20:51
  we're
• 20:51
  making
• 20:52
  the
• 20:52
  platform
• 20:53
  easy,
• 20:53
  easy
• 20:54
  to
• 20:54
  deploy,
• 20:54
  easy
• 20:55
  to
• 20:55
  integrate,
• 20:55
  easy
• 20:56
  to
• 20:56
  scale
• 20:57
  across
• 20:58
  different
• 20:59
  large
• 20:59
  distributed
• 21:00
  retail
• 21:00
  networks.
• 21:01
  Right.
• 21:01
  And
• 21:01
  with
• 21:01
  all
• 21:02
  those
• 21:02
  Walmart
• 21:02
  stores,
• 21:03
  all
• 21:03
  of
• 21:03
  the
• 21:03
  Walmart
• 21:04
  stores
• 21:04
  that
• 21:04
  you're
• 21:04
  deployed
• 21:05
  in
• 21:05
  right
• 21:05
  now,
• 21:06
  like
• 21:06
  you
• 21:06
  said
• 21:06
  earlier,
• 21:07
  I
• 21:07
  think
• 21:07
  you're
• 21:07
  going
• 21:07
  to
• 21:08
  be
• 21:08
  gaining
• 21:08
  a
• 21:08
  lot
• 21:08
  more
• 21:08
  information
• 21:09
  about
• 21:09
  how
• 21:10
  to
• 21:11
  continue
• 21:11
  to
• 21:12
  build
• 21:12
  that
• 21:12
  physical
• 21:13
  AI
• 21:14
  infrastructure
• 21:15
  at
• 21:15
  an
• 21:16
  enterprise
• 21:16
  retailer
• 21:17
  and
• 21:17
  then
• 21:18
  figure
• 21:18
  out
• 21:18
  how
• 21:19
  to
• 21:19
  do
• 21:19
  that
• 21:19
  in
• 21:20
  a
• 21:20
  variety
• 21:20
  of
• 21:21
  other
• 21:21
  retailers
• 21:21
  as
• 21:22
  well.
• 21:23
  We
• 21:23
  are
• 21:24
  so
• 21:24
  thankful
• 21:24
  that
• 21:25
  you
• 21:25
  had
• 21:25
  the
• 21:25
  time
• 21:26
  to
• 21:26
  spend
• 21:26
  with
• 21:26
  us
• 21:26
  today.
• 21:27
  You
• 21:28
  mentioned
• 21:28
  that
• 21:28
  you'll
• 21:29
  be
• 21:29
  out
• 21:29
  at
• 21:29
  nrf,
• 21:30
  so
• 21:30
  if
• 21:30
  you
• 21:31
  don't
• 21:31
  mind
• 21:31
  sharing
• 21:31
  with
• 21:32
  our
• 21:32
  audience
• 21:32
  the
• 21:33
  best
• 21:33
  way
• 21:33
  that
• 21:33
  they
• 21:33
  can
• 21:34
  get
• 21:34
  in
• 21:34
  touch
• 21:34
  with
• 21:35
  you
• 21:35
  either
• 21:35
  before
• 21:37
  or
• 21:37
  at
• 21:37
  NRF
• 21:38
  this
• 21:38
  year.
• 21:39
  So,
• 21:39
  first
• 21:40
  of
• 21:40
  all,
• 21:40
  if
• 21:40
  you're
• 21:40
  attending
• 21:40
  nrf,
• 21:42
  be
• 21:42
  sure
• 21:42
  to
• 21:43
  visit
• 21:43
  us.
• 21:43
  We're
• 21:43
  going
• 21:43
  to
• 21:44
  be
• 21:44
  at
• 21:44
  booth
• 21:44
  3469
• 21:47
  and
• 21:47
  we'll
• 21:48
  be
• 21:48
  giving
• 21:48
  live
• 21:48
  demos.
• 21:49
  We'll
• 21:50
  showcase
• 21:50
  new
• 21:50
  capabilities.
• 21:51
  All
• 21:51
  the
• 21:52
  stuff
• 21:52
  that
• 21:52
  we
• 21:52
  mentioned,
• 21:52
  you
• 21:52
  know,
• 21:53
  it's
• 21:53
  exciting
• 21:53
  stuff.
• 21:53
  So
• 21:54
  it's
• 21:54
  definitely
• 21:54
  demos,
• 21:54
  real
• 21:54
  stuff.
• 21:55
  You'll
• 21:55
  see.
• 21:55
  You'll
• 21:56
  see,
• 21:56
  I
• 21:56
  guess,
• 21:56
  physical
• 21:57
  AI
• 21:57
  in
• 21:57
  action,
• 21:59
  that's
• 21:59
  going
• 22:00
  to
• 22:00
  be
• 22:00
  in
• 22:00
  RF.
• 22:00
  If
• 22:01
  you
• 22:01
  want
• 22:01
  to
• 22:01
  reach
• 22:01
  me,
• 22:02
  LinkedIn
• 22:02
  works
• 22:03
  under
• 22:03
  my
• 22:04
  name
• 22:04
  or
• 22:04
  my
• 22:04
  email,
• 22:05
  my
• 22:05
  work
• 22:05
  email.
• 22:06
  The
• 22:06
  Ron
• 22:07
  hazan.com
• 22:08
  I
• 22:09
  can't
• 22:09
  wait
• 22:09
  to
• 22:09
  see.
• 22:09
  I
• 22:10
  can't
• 22:10
  wait
• 22:10
  to
• 22:10
  see
• 22:10
  what
• 22:10
  you
• 22:10
  guys
• 22:10
  are
• 22:10
  going
• 22:10
  to
• 22:11
  unveil.
• 22:11
  I'm
• 22:11
  dying
• 22:11
  to
• 22:12
  see
• 22:12
  what
• 22:12
  this
• 22:12
  intelligence
• 22:12
  kind
• 22:13
  of
• 22:13
  platform
• 22:13
  idea
• 22:13
  is
• 22:13
  because
• 22:14
  then,
• 22:14
  you
• 22:14
  know,
• 22:14
  it
• 22:14
  gets
• 22:14
  to
• 22:14
  the
• 22:15
  point
• 22:15
  you
• 22:15
  said,
• 22:15
  like,
• 22:15
  build
• 22:16
  one
• 22:16
  use
• 22:17
  case
• 22:17
  and
• 22:17
  then
• 22:18
  sprout
• 22:18
  out
• 22:18
  from
• 22:18
  there.
• 22:19
  Which
• 22:19
  is
• 22:19
  the
• 22:19
  right
• 22:19
  approach,
• 22:20
  folks,
• 22:20
  if
• 22:20
  you're
• 22:20
  listening,
• 22:21
  like,
• 22:21
  that's
• 22:21
  how
• 22:21
  you
• 22:22
  got
• 22:22
  to
• 22:22
  approach
• 22:22
  this
• 22:22
  opportunity
• 22:23
  of
• 22:23
  physical
• 22:24
  AI
• 22:24
  and
• 22:24
  how
• 22:24
  it's
• 22:24
  going
• 22:24
  to
• 22:25
  impact
• 22:25
  retail.
• 22:25
  So.
• 22:26
  All
• 22:26
  right,
• 22:26
  well,
• 22:26
  that
• 22:26
  wraps
• 22:27
  us
• 22:27
  up.
• 22:27
  Thanks
• 22:27
  to
• 22:27
  Duron
• 22:28
  of
• 22:28
  Wiliot
• 22:28
  for
• 22:29
  educating
• 22:29
  us
• 22:29
  today
• 22:29
  on
• 22:30
  this
• 22:30
  new
• 22:30
  concept
• 22:30
  of
• 22:31
  physical
• 22:31
  AI.
• 22:31
  We
• 22:31
  got
• 22:31
  into
• 22:32
  it
• 22:32
  quite
• 22:33
  a
• 22:33
  bit
• 22:33
  there
• 22:33
  and
• 22:33
  thanks
• 22:34
  to
• 22:34
  everyone,
• 22:34
  as
• 22:34
  always,
• 22:35
  for
• 22:35
  listening
• 22:35
  in.
• 22:35
  Today's
• 22:36
  podcast
• 22:36
  was
• 22:36
  produced,
• 22:37
  of
• 22:37
  course,
• 22:37
  with
• 22:37
  the
• 22:37
  help
• 22:37
  of
• 22:38
  Ella
• 22:38
  Seward.
• 22:39
  And
• 22:39
  as
• 22:39
  always,
• 22:39
  on
• 22:40
  behalf
• 22:40
  of
• 22:40
  all
• 22:40
  of
• 22:40
  us
• 22:40
  here
• 22:41
  at
• 22:41
  omnitalk,
• 22:41
  as
• 22:42
  always,
• 22:42
  be
• 22:42
  careful
• 22:42
  out
• 22:43
  there.