Latest / Omni Talk Retail / The Now, Next & Future Of AI's Impact On Warehouse Operations With Dematic's John Mabe | Spotlight Series

Transcript

The Now, Next & Future Of AI's Impact On Warehouse Operations With Dematic's John Mabe | Spotlight Series · Omni Talk Retail

• 0:00
  Foreign.
• 0:09
  Technology
• 0:09
  Spotlight
• 0:10
  series
• 0:10
  podcast
• 0:10
  is
• 0:11
  brought
• 0:11
  to
• 0:11
  you
• 0:11
  by
• 0:11
  the
• 0:11
  Omnitalk
• 0:12
  Retail
• 0:12
  Podcast
• 0:13
  Network,
• 0:14
  ranked
• 0:14
  In
• 0:14
  the
• 0:14
  top
• 0:14
  10%
• 0:15
  of
• 0:15
  all
• 0:15
  podcasts
• 0:16
  globally
• 0:16
  and
• 0:16
  currently
• 0:17
  ranked
• 0:17
  in
• 0:17
  the
• 0:17
  top
• 0:17
  100
• 0:18
  of
• 0:18
  all
• 0:18
  business
• 0:18
  podcasts
• 0:19
  on
• 0:19
  Apple
• 0:19
  Podcasts.
• 0:20
  The
• 0:20
  Omnitalk
• 0:21
  Retail
• 0:21
  Podcast
• 0:22
  Network
• 0:22
  is
• 0:22
  a
• 0:22
  network
• 0:22
  that
• 0:22
  we
• 0:23
  hope
• 0:23
  makes
• 0:23
  you
• 0:23
  feel
• 0:23
  a
• 0:23
  little
• 0:24
  smarter,
• 0:24
  but
• 0:24
  most
• 0:25
  importantly,
• 0:25
  a
• 0:25
  little
• 0:25
  happier
• 0:26
  each
• 0:26
  week,
• 0:26
  too.
• 0:26
  Apple.
• 0:27
  And
• 0:27
  this
• 0:27
  podcast
• 0:27
  is
• 0:27
  just
• 0:28
  one
• 0:28
  of
• 0:28
  the
• 0:28
  many
• 0:28
  great
• 0:28
  podcasts
• 0:29
  you
• 0:29
  can
• 0:29
  find
• 0:29
  from
• 0:30
  us
• 0:30
  here
• 0:30
  at
• 0:30
  Omnitalk
• 0:31
  Retail,
• 0:31
  alongside
• 0:32
  our
• 0:32
  Retail
• 0:32
  Daily
• 0:32
  Minute,
• 0:33
  which
• 0:33
  brings
• 0:33
  you
• 0:33
  a
• 0:34
  curated
• 0:34
  selection
• 0:34
  of
• 0:34
  the
• 0:34
  most
• 0:35
  important
• 0:35
  retail
• 0:35
  headlines
• 0:36
  every
• 0:36
  morning,
• 0:36
  and
• 0:37
  our
• 0:37
  signature
• 0:37
  podcast,
• 0:38
  the
• 0:38
  Retail
• 0:38
  Fast
• 0:39
  Five,
• 0:39
  that
• 0:39
  breaks
• 0:39
  down
• 0:39
  each
• 0:40
  week.
• 0:40
  The
• 0:40
  top
• 0:41
  five
• 0:41
  headlines
• 0:41
  making
• 0:42
  waves
• 0:42
  in
• 0:42
  the
• 0:42
  world
• 0:42
  of
• 0:42
  omnichannel
• 0:43
  retailing.
• 0:44
  And
• 0:44
  that
• 0:44
  comes
• 0:44
  your
• 0:44
  way
• 0:45
  every
• 0:45
  Wednesday
• 0:46
  afternoon.
• 0:47
  Hello,
• 0:47
  everyone.
• 0:48
  I
• 0:48
  am
• 0:48
  one
• 0:48
  of
• 0:48
  your
• 0:48
  co
• 0:48
  hosts
• 0:49
  for
• 0:49
  today's
• 0:49
  interview,
• 0:50
  Chris
• 0:50
  Walton.
• 0:51
  And
• 0:51
  I'm
• 0:51
  Anne
• 0:51
  Mazenga.
• 0:53
  And,
• 0:53
  you
• 0:53
  know,
• 0:53
  there's
• 0:53
  been
• 0:54
  a
• 0:54
  lot
• 0:54
  of
• 0:54
  talk
• 0:55
  around
• 0:55
  AI.
• 0:56
  You
• 0:56
  know,
• 0:56
  we
• 0:56
  heard
• 0:56
  it
• 0:57
  in
• 0:57
  NRF
• 0:58
  Paris.
• 0:58
  We've
• 0:58
  heard
• 0:58
  about
• 0:59
  it
• 0:59
  from
• 0:59
  Shop
• 0:59
  Fall,
• 1:00
  from
• 1:00
  some
• 1:00
  of
• 1:00
  our
• 1:00
  friends
• 1:00
  who
• 1:00
  were
• 1:01
  able
• 1:01
  to
• 1:01
  attend
• 1:01
  that.
• 1:01
  And
• 1:02
  honestly,
• 1:02
  there's
• 1:02
  probably
• 1:02
  been
• 1:03
  a
• 1:03
  little
• 1:03
  bit
• 1:03
  too
• 1:04
  much,
• 1:04
  I
• 1:04
  think
• 1:04
  one
• 1:05
  could
• 1:05
  say.
• 1:06
  And
• 1:06
  I'm
• 1:07
  guessing
• 1:07
  a
• 1:07
  lot
• 1:07
  of
• 1:07
  people
• 1:07
  are
• 1:08
  thinking
• 1:08
  that
• 1:08
  anyway.
• 1:08
  But
• 1:08
  we're
• 1:09
  going
• 1:09
  to
• 1:09
  talk
• 1:09
  about
• 1:09
  it
• 1:09
  again,
• 1:10
  and
• 1:10
  that
• 1:10
  is
• 1:11
  because
• 1:11
  as
• 1:12
  an
• 1:12
  industry,
• 1:13
  I
• 1:13
  don't
• 1:13
  think
• 1:13
  we've
• 1:14
  done
• 1:14
  a
• 1:14
  good
• 1:14
  job
• 1:14
  of
• 1:15
  defining
• 1:16
  AI.
• 1:16
  You
• 1:16
  know,
• 1:16
  we're
• 1:17
  talking
• 1:17
  about
• 1:17
  it
• 1:17
  too
• 1:17
  broadly
• 1:19
  and
• 1:19
  specifically
• 1:19
  which
• 1:19
  types
• 1:20
  of
• 1:20
  AI
• 1:20
  are
• 1:20
  most
• 1:21
  useful
• 1:21
  and
• 1:21
  in
• 1:21
  which
• 1:22
  settings.
• 1:22
  And
• 1:22
  so
• 1:22
  to
• 1:22
  help
• 1:23
  us
• 1:23
  do
• 1:23
  that,
• 1:24
  we're
• 1:24
  going
• 1:24
  to
• 1:24
  examine
• 1:25
  warehouse
• 1:26
  operations.
• 1:26
  We're
• 1:27
  going
• 1:27
  to
• 1:27
  look
• 1:27
  at
• 1:27
  AI
• 1:27
  through
• 1:27
  the
• 1:28
  lens
• 1:28
  of
• 1:28
  warehouse
• 1:28
  operations.
• 1:29
  And
• 1:29
  to
• 1:30
  help
• 1:30
  us
• 1:30
  with
• 1:30
  that,
• 1:30
  we
• 1:30
  have
• 1:31
  invited
• 1:31
  Dematic's
• 1:32
  product
• 1:32
  manager,
• 1:33
  John
• 1:33
  Mabe,
• 1:34
  onto
• 1:35
  today's
• 1:35
  show.
• 1:37
  John,
• 1:37
  thanks
• 1:37
  for
• 1:38
  joining
• 1:38
  us
• 1:38
  at
• 1:38
  omnitalk.
• 1:39
  Hey,
• 1:39
  Chris.
• 1:40
  Hey,
• 1:40
  Anne.
• 1:40
  How
• 1:40
  are
• 1:40
  you
• 1:40
  guys
• 1:41
  doing?
• 1:42
  We're
• 1:42
  doing
• 1:42
  great.
• 1:43
  Great
• 1:43
  to
• 1:43
  have
• 1:43
  you.
• 1:44
  Yeah,
• 1:44
  thanks
• 1:45
  for
• 1:45
  having
• 1:45
  me.
• 1:46
  John,
• 1:46
  I'm,
• 1:47
  I'm
• 1:47
  curious,
• 1:47
  maybe
• 1:48
  you
• 1:48
  wouldn't
• 1:48
  mind
• 1:49
  starting
• 1:49
  with
• 1:49
  this.
• 1:49
  Like
• 1:50
  Chris
• 1:50
  said,
• 1:50
  there's
• 1:50
  a
• 1:50
  lot
• 1:50
  of
• 1:51
  discussion
• 1:51
  around
• 1:52
  AI
• 1:52
  and
• 1:52
  its
• 1:52
  applications,
• 1:53
  but
• 1:54
  in
• 1:54
  your
• 1:54
  role
• 1:54
  as
• 1:55
  a
• 1:55
  product
• 1:55
  manager,
• 1:56
  how
• 1:57
  do
• 1:57
  you
• 1:57
  think
• 1:57
  of
• 1:57
  AI
• 1:58
  and
• 1:58
  its
• 1:58
  application,
• 1:59
  especially
• 1:59
  within
• 1:59
  warehousing,
• 2:00
  like,
• 2:00
  what
• 2:01
  framework
• 2:01
  would
• 2:01
  you
• 2:01
  recommend
• 2:02
  that
• 2:02
  we.
• 2:02
  We
• 2:03
  use
• 2:03
  to
• 2:03
  start
• 2:03
  off?
• 2:05
  You
• 2:05
  know,
• 2:05
  I
• 2:05
  think
• 2:05
  from
• 2:06
  a
• 2:06
  product
• 2:06
  perspective,
• 2:07
  first,
• 2:07
  it's
• 2:07
  probably
• 2:08
  best
• 2:08
  to
• 2:08
  break
• 2:09
  down
• 2:09
  AI
• 2:09
  into
• 2:09
  a
• 2:10
  couple,
• 2:10
  like,
• 2:11
  distinct
• 2:11
  categories
• 2:11
  because
• 2:12
  it's
• 2:12
  not
• 2:12
  just
• 2:12
  a
• 2:13
  single
• 2:14
  technology,
• 2:14
  it's
• 2:14
  more
• 2:14
  of
• 2:15
  a
• 2:15
  toolkit.
• 2:16
  So
• 2:16
  the
• 2:16
  way
• 2:17
  we
• 2:17
  kind
• 2:17
  of
• 2:17
  look
• 2:17
  at
• 2:17
  that
• 2:17
  is
• 2:18
  there's
• 2:18
  one
• 2:18
  category
• 2:19
  is
• 2:19
  optimization
• 2:20
  AI.
• 2:20
  So
• 2:20
  think
• 2:20
  of
• 2:21
  that
• 2:21
  as
• 2:21
  kind
• 2:21
  of
• 2:21
  the
• 2:22
  brains
• 2:22
  in
• 2:22
  a
• 2:22
  warehouse
• 2:23
  that
• 2:23
  makes
• 2:23
  decisions.
• 2:25
  So
• 2:25
  what's
• 2:25
  the
• 2:26
  best,
• 2:26
  what's
• 2:26
  the
• 2:26
  next
• 2:26
  best
• 2:27
  order
• 2:27
  to
• 2:27
  work
• 2:27
  on?
• 2:28
  For
• 2:28
  example
• 2:29
  then
• 2:30
  there's
• 2:30
  vision
• 2:30
  and
• 2:30
  perception
• 2:31
  AI.
• 2:32
  So
• 2:32
  that's
• 2:32
  the
• 2:33
  eyes
• 2:33
  of
• 2:33
  your
• 2:33
  operation
• 2:34
  that's
• 2:34
  using
• 2:35
  cameras
• 2:35
  and
• 2:35
  sensors
• 2:36
  to
• 2:36
  understand
• 2:36
  the,
• 2:37
  the
• 2:38
  physical
• 2:38
  state
• 2:38
  of
• 2:38
  a
• 2:38
  warehouse
• 2:39
  in
• 2:39
  real
• 2:39
  time.
• 2:41
  And
• 2:41
  then
• 2:42
  kind
• 2:42
  of
• 2:42
  a
• 2:42
  third
• 2:42
  category
• 2:43
  which
• 2:43
  I
• 2:43
  think
• 2:44
  most
• 2:44
  people
• 2:44
  are
• 2:44
  familiar
• 2:44
  with
• 2:45
  is
• 2:45
  kind
• 2:45
  of
• 2:45
  the
• 2:45
  chat
• 2:45
  GPT
• 2:46
  generative
• 2:46
  AI,
• 2:48
  you
• 2:48
  know,
• 2:48
  a
• 2:49
  new
• 2:49
  interface
• 2:50
  or
• 2:50
  conversational
• 2:51
  partner
• 2:52
  of
• 2:52
  how
• 2:52
  you
• 2:52
  interact
• 2:53
  with
• 2:53
  your
• 2:54
  systems.
• 2:56
  Got
• 2:56
  it
• 2:56
  John.
• 2:56
  So
• 2:57
  let's
• 2:58
  click
• 2:58
  into
• 2:58
  those
• 2:58
  a
• 2:58
  little
• 2:59
  bit
• 2:59
  then.
• 2:59
  So
• 2:59
  like
• 2:59
  you
• 3:00
  know
• 3:00
  optimization
• 3:00
  AI,
• 3:01
  the
• 3:01
  first
• 3:01
  one
• 3:01
  you
• 3:01
  said
• 3:01
  like
• 3:02
  you
• 3:02
  know
• 3:02
  when
• 3:03
  I
• 3:03
  hear
• 3:03
  that
• 3:04
  like
• 3:04
  the
• 3:04
  first
• 3:04
  thing
• 3:04
  that
• 3:04
  comes
• 3:04
  to
• 3:05
  mind
• 3:05
  for
• 3:05
  me
• 3:05
  is
• 3:05
  like
• 3:05
  that's,
• 3:06
  that's
• 3:06
  not
• 3:06
  anything
• 3:07
  new.
• 3:07
  Like
• 3:08
  I
• 3:08
  feel
• 3:08
  like
• 3:08
  I've
• 3:08
  been
• 3:08
  hearing
• 3:09
  about
• 3:09
  that
• 3:09
  for
• 3:10
  ever
• 3:10
  like
• 3:10
  since
• 3:11
  the
• 3:11
  history
• 3:11
  of
• 3:11
  doing
• 3:11
  Omnitok
• 3:12
  we've
• 3:12
  been
• 3:12
  doing
• 3:12
  the
• 3:12
  show
• 3:12
  for
• 3:13
  eight
• 3:13
  years
• 3:13
  so.
• 3:14
  So
• 3:14
  is
• 3:14
  that
• 3:15
  true?
• 3:15
  And
• 3:15
  then
• 3:15
  number
• 3:16
  one
• 3:16
  like
• 3:16
  if
• 3:16
  that
• 3:17
  is
• 3:17
  the
• 3:17
  case
• 3:17
  where
• 3:17
  you,
• 3:18
  you
• 3:18
  mentioned
• 3:18
  a
• 3:19
  place
• 3:19
  where
• 3:19
  it
• 3:19
  is
• 3:19
  applicable
• 3:20
  but
• 3:20
  where
• 3:20
  is
• 3:20
  it
• 3:20
  most
• 3:21
  applicable
• 3:21
  in
• 3:21
  the
• 3:21
  warehouse
• 3:22
  environment?
• 3:24
  I
• 3:24
  mean,
• 3:24
  yeah,
• 3:25
  you're
• 3:25
  right,
• 3:25
  optimization
• 3:26
  is
• 3:26
  not
• 3:26
  new
• 3:26
  and
• 3:26
  even
• 3:27
  pre
• 3:27
  AI,
• 3:27
  right
• 3:28
  people
• 3:28
  have
• 3:28
  been
• 3:28
  using
• 3:28
  math
• 3:29
  to
• 3:29
  make
• 3:29
  decisions
• 3:30
  and.
• 3:31
  Yes,
• 3:32
  exactly
• 3:32
  Matt.
• 3:33
  So
• 3:33
  if
• 3:34
  you
• 3:34
  were
• 3:34
  to
• 3:34
  take,
• 3:34
  you
• 3:34
  know
• 3:34
  inventory
• 3:35
  optimization
• 3:35
  is
• 3:36
  pretty
• 3:36
  a
• 3:36
  big
• 3:36
  brinket
• 3:37
  umbrella
• 3:38
  where
• 3:38
  it
• 3:38
  can
• 3:38
  be
• 3:38
  applied
• 3:39
  really
• 3:39
  well.
• 3:39
  So
• 3:40
  if
• 3:40
  you
• 3:40
  were
• 3:40
  to
• 3:40
  take
• 3:40
  slotting
• 3:41
  for
• 3:41
  example,
• 3:41
  I
• 3:42
  mean
• 3:42
  historically
• 3:43
  warehouses
• 3:43
  have
• 3:43
  used,
• 3:44
  you
• 3:44
  know,
• 3:45
  ABC
• 3:45
  classifications
• 3:46
  or
• 3:46
  velocities
• 3:47
  or
• 3:48
  order
• 3:48
  affinities,
• 3:49
  which
• 3:49
  items
• 3:49
  are
• 3:50
  typically
• 3:50
  ordered
• 3:50
  together
• 3:50
  to
• 3:51
  make
• 3:51
  these
• 3:51
  slotting
• 3:52
  decisions
• 3:52
  and
• 3:53
  you
• 3:53
  can
• 3:53
  get
• 3:53
  a
• 3:53
  lot
• 3:53
  of
• 3:53
  value
• 3:54
  out
• 3:54
  of
• 3:54
  that
• 3:54
  pretty
• 3:54
  quickly.
• 3:56
  You
• 3:56
  know
• 3:56
  the
• 3:56
  main
• 3:56
  issue
• 3:57
  there
• 3:57
  is
• 3:57
  that
• 3:58
  that
• 3:58
  is
• 3:58
  kind
• 3:58
  of
• 3:58
  static
• 3:59
  and
• 3:59
  rules
• 3:59
  based
• 4:00
  and
• 4:00
  it
• 4:00
  doesn't
• 4:01
  really
• 4:01
  evolve
• 4:01
  over
• 4:01
  time.
• 4:02
  So
• 4:03
  where
• 4:03
  I
• 4:03
  started
• 4:04
  to
• 4:04
  come
• 4:04
  in
• 4:04
  is
• 4:04
  adding
• 4:05
  better
• 4:05
  inputs
• 4:06
  and
• 4:06
  adaptivity.
• 4:08
  You
• 4:08
  know
• 4:08
  with
• 4:09
  supervised
• 4:09
  learning
• 4:10
  you
• 4:10
  can
• 4:10
  really,
• 4:10
  really
• 4:11
  truly
• 4:11
  predict
• 4:12
  the
• 4:12
  velocity
• 4:12
  of
• 4:12
  skews.
• 4:13
  Even
• 4:14
  you
• 4:14
  know,
• 4:14
  the
• 4:14
  really
• 4:14
  hard
• 4:15
  things
• 4:15
  to
• 4:15
  predict.
• 4:15
  The
• 4:15
  fast
• 4:16
  movers
• 4:16
  are
• 4:16
  fairly
• 4:17
  easy
• 4:17
  but
• 4:17
  you
• 4:17
  know,
• 4:17
  maybe
• 4:18
  the
• 4:18
  medium
• 4:18
  and
• 4:18
  slow
• 4:18
  movers,
• 4:19
  you
• 4:20
  know,
• 4:20
  seasonality,
• 4:21
  different
• 4:21
  channels,
• 4:22
  promotions
• 4:24
  and
• 4:24
  you
• 4:24
  combine
• 4:25
  that
• 4:25
  with
• 4:25
  reinforcement
• 4:26
  learning
• 4:27
  we
• 4:27
  can
• 4:27
  go
• 4:27
  further
• 4:28
  where
• 4:28
  the
• 4:28
  system,
• 4:29
  the
• 4:29
  AI
• 4:29
  can
• 4:29
  learn
• 4:30
  and
• 4:31
  figure
• 4:31
  out
• 4:31
  how
• 4:31
  to
• 4:32
  best
• 4:32
  re
• 4:32
  slot
• 4:32
  the
• 4:33
  inventory
• 4:33
  to
• 4:34
  deal
• 4:34
  with,
• 4:34
  I
• 4:34
  don't
• 4:34
  know,
• 4:35
  an
• 4:35
  upcoming
• 4:35
  Flash
• 4:35
  sale
• 4:36
  or
• 4:36
  promotions
• 4:37
  or
• 4:37
  back
• 4:38
  to
• 4:38
  school
• 4:38
  Special.
• 4:39
  So
• 4:39
  it's
• 4:39
  really
• 4:40
  able
• 4:40
  to
• 4:40
  adapt
• 4:41
  to
• 4:41
  shifting
• 4:42
  demands
• 4:42
  over
• 4:42
  time
• 4:43
  and
• 4:43
  self
• 4:44
  learn
• 4:45
  and
• 4:45
  really
• 4:45
  discover
• 4:45
  non
• 4:46
  obvious
• 4:46
  patterns
• 4:47
  that
• 4:47
  like
• 4:47
  our
• 4:47
  traditional
• 4:48
  optimization
• 4:49
  couldn't
• 4:49
  do
• 4:49
  very
• 4:49
  well
• 4:50
  in
• 4:50
  the
• 4:50
  past.
• 4:51
  Got
• 4:51
  it,
• 4:51
  got
• 4:52
  it,
• 4:52
  got
• 4:52
  it.
• 4:52
  So,
• 4:52
  but
• 4:52
  the
• 4:52
  strict
• 4:53
  use
• 4:53
  case
• 4:53
  is
• 4:53
  like
• 4:53
  really
• 4:54
  around,
• 4:54
  like
• 4:54
  forecasting
• 4:55
  for
• 4:55
  inventory,
• 4:55
  labor
• 4:56
  planning.
• 4:57
  I'm
• 4:57
  curious.
• 4:57
  So
• 4:57
  John,
• 4:58
  like,
• 4:58
  if
• 4:59
  it
• 4:59
  has
• 4:59
  been
• 4:59
  around
• 5:00
  for
• 5:00
  so
• 5:00
  long,
• 5:03
  how
• 5:03
  many
• 5:03
  companies
• 5:04
  and
• 5:04
  particularly
• 5:05
  retailers
• 5:05
  that
• 5:05
  you
• 5:06
  in
• 5:06
  your
• 5:06
  experience
• 5:07
  are
• 5:07
  actually
• 5:08
  using
• 5:08
  it?
• 5:09
  Like,
• 5:09
  is
• 5:09
  everyone
• 5:10
  using
• 5:10
  it
• 5:10
  or
• 5:10
  is
• 5:11
  a
• 5:11
  portion,
• 5:11
  like,
• 5:11
  what's
• 5:12
  your
• 5:12
  take
• 5:12
  there?
• 5:13
  I'd
• 5:13
  say
• 5:13
  it's
• 5:13
  a
• 5:13
  pretty,
• 5:14
  you
• 5:14
  know,
• 5:14
  fairly
• 5:15
  small
• 5:15
  portion.
• 5:15
  I
• 5:16
  think
• 5:16
  the
• 5:16
  largest,
• 5:16
  really
• 5:17
  the
• 5:18
  largest
• 5:18
  players
• 5:18
  are
• 5:19
  using
• 5:19
  it.
• 5:20
  I
• 5:20
  mean,
• 5:20
  I
• 5:21
  think
• 5:21
  most
• 5:21
  companies
• 5:21
  by
• 5:22
  now
• 5:22
  are
• 5:22
  using
• 5:22
  some
• 5:23
  sort
• 5:23
  of
• 5:23
  optimization
• 5:23
  using
• 5:24
  math
• 5:24
  models.
• 5:25
  Right.
• 5:25
  But
• 5:25
  as
• 5:25
  far
• 5:26
  as
• 5:26
  true
• 5:26
  AI,
• 5:27
  it's
• 5:27
  still
• 5:27
  fairly
• 5:28
  limited
• 5:28
  in
• 5:29
  its
• 5:29
  use.
• 5:30
  I
• 5:30
  mean,
• 5:30
  it's
• 5:30
  mostly
• 5:30
  the
• 5:30
  bigger
• 5:31
  players
• 5:31
  that
• 5:31
  are
• 5:31
  using
• 5:32
  it
• 5:32
  that
• 5:32
  have,
• 5:34
  you
• 5:34
  know,
• 5:34
  have
• 5:34
  access
• 5:34
  to
• 5:35
  really
• 5:35
  good
• 5:35
  data
• 5:36
  and
• 5:36
  have
• 5:37
  their
• 5:37
  data
• 5:37
  structured
• 5:38
  in
• 5:38
  a
• 5:38
  way
• 5:38
  that
• 5:38
  the
• 5:39
  AI
• 5:39
  can
• 5:39
  leverage
• 5:39
  it.
• 5:40
  What
• 5:41
  keeps
• 5:41
  the
• 5:41
  smaller
• 5:42
  players
• 5:42
  from
• 5:43
  going
• 5:43
  all
• 5:44
  in
• 5:44
  on
• 5:44
  this?
• 5:44
  It
• 5:44
  seems
• 5:44
  like
• 5:45
  it'd
• 5:45
  be
• 5:45
  even
• 5:45
  more
• 5:45
  advantageous
• 5:46
  to
• 5:46
  somebody
• 5:47
  like
• 5:47
  that
• 5:47
  who
• 5:47
  doesn't
• 5:48
  have
• 5:48
  the
• 5:48
  labor
• 5:49
  bank
• 5:49
  bandwidth.
• 5:50
  I
• 5:50
  mean,
• 5:51
  part
• 5:51
  of
• 5:51
  it
• 5:51
  is
• 5:51
  the,
• 5:52
  you
• 5:53
  know,
• 5:53
  is
• 5:54
  the
• 5:54
  structuring
• 5:54
  of
• 5:55
  your
• 5:55
  data.
• 5:55
  Like,
• 5:55
  if
• 5:55
  it's
• 5:56
  not
• 5:56
  structured
• 5:56
  properly,
• 5:57
  okay.
• 5:57
  It's
• 5:58
  hard
• 5:58
  for
• 5:58
  these
• 5:58
  models
• 5:58
  to
• 5:59
  be
• 5:59
  effective,
• 6:01
  you
• 6:01
  know,
• 6:01
  and
• 6:01
  I
• 6:01
  think
• 6:01
  we're
• 6:02
  starting
• 6:02
  to
• 6:02
  see
• 6:02
  kind
• 6:02
  of
• 6:03
  a,
• 6:03
  you
• 6:03
  know,
• 6:03
  like
• 6:03
  a
• 6:04
  crawl,
• 6:04
  walk,
• 6:04
  run
• 6:04
  approach
• 6:05
  where
• 6:05
  people
• 6:05
  are
• 6:05
  starting
• 6:06
  to.
• 6:06
  You.
• 6:06
  Even
• 6:06
  the
• 6:07
  smaller
• 6:07
  players
• 6:07
  are
• 6:07
  starting
• 6:07
  to
• 6:08
  use
• 6:08
  it,
• 6:08
  but
• 6:08
  maybe
• 6:08
  they're
• 6:09
  using
• 6:09
  it
• 6:09
  more
• 6:11
  as
• 6:11
  a
• 6:11
  decision
• 6:12
  recommendation.
• 6:12
  So
• 6:13
  it's
• 6:13
  not
• 6:13
  necessarily
• 6:14
  completely
• 6:14
  embedded
• 6:15
  into
• 6:15
  their
• 6:15
  system.
• 6:15
  Jet.
• 6:16
  It's
• 6:16
  more,
• 6:17
  hey,
• 6:17
  this
• 6:17
  is,
• 6:17
  this
• 6:18
  is
• 6:18
  the
• 6:18
  forecast
• 6:18
  that
• 6:19
  our
• 6:19
  model
• 6:19
  came
• 6:19
  up
• 6:19
  with.
• 6:19
  Here's
• 6:20
  a
• 6:20
  report
• 6:20
  and
• 6:21
  you
• 6:21
  can
• 6:21
  take
• 6:21
  action
• 6:21
  on
• 6:22
  it.
• 6:22
  But
• 6:22
  as
• 6:22
  far
• 6:23
  as
• 6:23
  like
• 6:23
  a
• 6:23
  fully
• 6:23
  automated,
• 6:24
  it's
• 6:24
  kind
• 6:24
  of
• 6:24
  the
• 6:25
  larger
• 6:25
  players
• 6:25
  that
• 6:26
  are
• 6:26
  kind
• 6:26
  of
• 6:26
  at
• 6:26
  that
• 6:26
  stage.
• 6:27
  That
• 6:27
  makes
• 6:28
  sense.
• 6:28
  How,
• 6:28
  how
• 6:29
  does
• 6:29
  growth
• 6:29
  play
• 6:29
  into
• 6:29
  it
• 6:30
  too,
• 6:30
  John?
• 6:30
  Like
• 6:30
  if,
• 6:30
  say,
• 6:31
  say
• 6:31
  if
• 6:31
  I'm
• 6:31
  a
• 6:31
  smaller
• 6:31
  player
• 6:31
  and
• 6:32
  I'm
• 6:32
  not
• 6:32
  really
• 6:32
  sure
• 6:32
  my
• 6:33
  demand,
• 6:33
  I'm
• 6:33
  growing,
• 6:33
  like,
• 6:34
  is
• 6:34
  it
• 6:34
  as
• 6:34
  applicable
• 6:34
  to
• 6:35
  somebody
• 6:35
  that
• 6:35
  like,
• 6:36
  to
• 6:36
  your
• 6:36
  point,
• 6:36
  like,
• 6:36
  is
• 6:37
  more
• 6:37
  established
• 6:37
  and
• 6:38
  has
• 6:38
  very
• 6:38
  consistent
• 6:39
  patterns
• 6:39
  in
• 6:40
  what
• 6:40
  they're
• 6:40
  putting
• 6:40
  through
• 6:40
  their
• 6:41
  warehouse
• 6:41
  give
• 6:41
  every
• 6:42
  single
• 6:42
  day.
• 6:42
  Is
• 6:42
  that
• 6:43
  fact
• 6:43
  factor
• 6:43
  into
• 6:43
  it
• 6:43
  at
• 6:43
  all
• 6:43
  or
• 6:44
  am
• 6:44
  I
• 6:44
  overthinking
• 6:44
  it?
• 6:44
  I'm
• 6:45
  curious.
• 6:46
  I
• 6:46
  mean,
• 6:46
  it
• 6:47
  should
• 6:47
  be,
• 6:47
  you
• 6:47
  know,
• 6:47
  a.
• 6:48
  I
• 6:48
  think
• 6:48
  as.
• 6:48
  As
• 6:49
  AI
• 6:49
  gets
• 6:49
  more
• 6:49
  advanced,
• 6:49
  it's
• 6:50
  able
• 6:50
  to
• 6:50
  adapt
• 6:50
  better.
• 6:51
  Should
• 6:51
  be
• 6:51
  able
• 6:51
  to
• 6:51
  do
• 6:51
  either
• 6:52
  one,
• 6:52
  right?
• 6:52
  Yeah,
• 6:52
  it
• 6:53
  really
• 6:53
  should
• 6:53
  be
• 6:53
  able
• 6:53
  to
• 6:53
  do
• 6:53
  either
• 6:54
  one.
• 6:54
  Yeah.
• 6:55
  Right.
• 6:56
  Well,
• 6:57
  let's
• 6:58
  talk
• 6:58
  a
• 6:58
  little
• 6:58
  bit
• 6:58
  too
• 6:59
  about
• 6:59
  vision
• 6:59
  and
• 7:00
  perception,
• 7:00
  John.
• 7:01
  Can
• 7:01
  you
• 7:01
  explain
• 7:02
  kind
• 7:02
  of
• 7:03
  how
• 7:03
  that's
• 7:04
  coming
• 7:04
  into
• 7:04
  play?
• 7:06
  Sure.
• 7:06
  So
• 7:07
  vision
• 7:07
  is,
• 7:07
  you
• 7:07
  know,
• 7:07
  we
• 7:08
  view
• 7:08
  that
• 7:08
  as
• 7:08
  like
• 7:08
  foundational
• 7:09
  for
• 7:10
  getting
• 7:10
  to
• 7:11
  this.
• 7:11
  You
• 7:11
  know,
• 7:11
  people
• 7:12
  talk
• 7:12
  about
• 7:12
  lights
• 7:12
  out
• 7:13
  warehouse,
• 7:13
  where
• 7:13
  it's
• 7:13
  a
• 7:13
  very
• 7:14
  autonomous
• 7:14
  run
• 7:15
  warehouse.
• 7:15
  Right.
• 7:16
  So
• 7:16
  optimization
• 7:17
  would
• 7:17
  be
• 7:17
  a
• 7:18
  big
• 7:18
  part
• 7:18
  of
• 7:18
  that.
• 7:18
  Vision
• 7:19
  would
• 7:19
  also
• 7:19
  be
• 7:20
  a
• 7:20
  huge
• 7:20
  part
• 7:20
  of
• 7:20
  that.
• 7:20
  And
• 7:21
  that's
• 7:21
  really
• 7:21
  about,
• 7:23
  you
• 7:23
  know,
• 7:24
  using
• 7:24
  cameras
• 7:24
  and
• 7:24
  sensors
• 7:25
  to
• 7:26
  process
• 7:27
  information
• 7:27
  and
• 7:27
  make
• 7:28
  decisions
• 7:28
  in
• 7:28
  real
• 7:29
  time.
• 7:29
  So
• 7:30
  right
• 7:30
  now
• 7:30
  that's
• 7:30
  very
• 7:31
  limited
• 7:31
  in
• 7:31
  the
• 7:31
  scope
• 7:32
  of
• 7:32
  how
• 7:32
  that's
• 7:32
  being
• 7:32
  used.
• 7:33
  So
• 7:33
  you've
• 7:33
  got
• 7:35
  like
• 7:35
  process
• 7:35
  integrity.
• 7:36
  Say
• 7:36
  you
• 7:37
  have,
• 7:39
  you
• 7:39
  know,
• 7:40
  a
• 7:40
  tote
• 7:40
  on
• 7:40
  a
• 7:41
  conveyor.
• 7:41
  Is
• 7:41
  it
• 7:41
  positioned
• 7:42
  appropriately
• 7:42
  on
• 7:42
  the
• 7:43
  conveyor?
• 7:43
  That's
• 7:43
  not
• 7:43
  going
• 7:43
  to
• 7:44
  create
• 7:44
  an
• 7:44
  issue
• 7:44
  downstream.
• 7:45
  So
• 7:45
  it's
• 7:46
  really
• 7:46
  about
• 7:46
  how
• 7:46
  can
• 7:47
  we
• 7:47
  minimize
• 7:47
  errors
• 7:48
  that
• 7:48
  take
• 7:48
  a
• 7:48
  lot
• 7:48
  of
• 7:49
  time
• 7:49
  to
• 7:49
  fix,
• 7:49
  you
• 7:50
  know,
• 7:50
  downstream
• 7:50
  from
• 7:50
  that
• 7:51
  process
• 7:52
  and
• 7:52
  then,
• 7:52
  you
• 7:53
  know,
• 7:53
  spotting,
• 7:53
  like
• 7:54
  if
• 7:54
  let's
• 7:54
  say
• 7:54
  there's
• 7:54
  a
• 7:54
  jam
• 7:54
  on
• 7:55
  a
• 7:55
  conveyor,
• 7:55
  the
• 7:55
  camera
• 7:56
  can
• 7:56
  see
• 7:56
  that
• 7:57
  and
• 7:57
  alert
• 7:57
  someone
• 7:58
  before
• 7:58
  it
• 7:58
  becomes,
• 7:59
  you
• 7:59
  know,
• 7:59
  like
• 7:59
  a
• 7:59
  major
• 7:59
  downline
• 8:00
  event.
• 8:02
  And
• 8:02
  then
• 8:02
  probably
• 8:03
  the
• 8:03
  other
• 8:03
  area
• 8:03
  where
• 8:04
  it's
• 8:04
  applicable
• 8:04
  now
• 8:04
  in
• 8:04
  these
• 8:05
  kind
• 8:05
  of
• 8:05
  narrow
• 8:05
  use
• 8:05
  cases
• 8:06
  around
• 8:06
  kind
• 8:06
  of
• 8:06
  safety.
• 8:07
  Are
• 8:07
  humans
• 8:08
  working
• 8:08
  safely
• 8:08
  with
• 8:09
  robots?
• 8:11
  Are
• 8:11
  they,
• 8:11
  are
• 8:12
  humans
• 8:12
  working
• 8:12
  at
• 8:12
  a
• 8:13
  workstation
• 8:13
  safely,
• 8:14
  like
• 8:14
  in
• 8:14
  an
• 8:14
  ergonomic
• 8:15
  fashion
• 8:15
  so
• 8:15
  they're
• 8:15
  not
• 8:16
  getting
• 8:16
  fatigued
• 8:17
  like
• 8:17
  a
• 8:17
  camera
• 8:18
  and
• 8:18
  AI
• 8:18
  can
• 8:18
  pick
• 8:19
  up
• 8:19
  on
• 8:19
  that.
• 8:20
  And
• 8:20
  so
• 8:21
  that's,
• 8:21
  you
• 8:21
  know,
• 8:21
  it's
• 8:21
  kind
• 8:21
  of
• 8:21
  being
• 8:22
  deployed
• 8:22
  now
• 8:22
  in
• 8:22
  these
• 8:22
  kind
• 8:22
  of
• 8:23
  somewhat
• 8:23
  narrow
• 8:24
  use
• 8:24
  cases,
• 8:24
  adding
• 8:25
  value
• 8:25
  but
• 8:26
  not
• 8:26
  quite
• 8:26
  there
• 8:27
  of
• 8:27
  lights
• 8:28
  out
• 8:28
  type
• 8:28
  warehouse,
• 8:29
  I
• 8:29
  guess.
• 8:29
  So
• 8:29
  John,
• 8:30
  are
• 8:30
  these
• 8:30
  systems,
• 8:31
  these
• 8:31
  computer
• 8:31
  vision
• 8:31
  systems,
• 8:32
  for
• 8:32
  lack
• 8:32
  of
• 8:32
  a
• 8:32
  better
• 8:32
  way
• 8:33
  to
• 8:33
  put
• 8:33
  it,
• 8:33
  are
• 8:33
  they,
• 8:33
  are
• 8:34
  they
• 8:34
  fixed
• 8:34
  position?
• 8:35
  Are
• 8:35
  they
• 8:36
  on
• 8:36
  robots?
• 8:37
  We
• 8:37
  heard
• 8:37
  it
• 8:37
  nrf.
• 8:38
  We
• 8:38
  were
• 8:38
  surprised,
• 8:39
  Anna
• 8:39
  and
• 8:39
  I
• 8:39
  both
• 8:40
  were
• 8:40
  surprised
• 8:40
  at
• 8:40
  nrf
• 8:41
  how
• 8:41
  many,
• 8:42
  you
• 8:42
  know,
• 8:42
  people
• 8:43
  were
• 8:43
  talking
• 8:43
  about
• 8:44
  robotics
• 8:45
  impacting
• 8:46
  both
• 8:46
  store
• 8:46
  in
• 8:47
  store
• 8:47
  operations,
• 8:47
  but
• 8:47
  also
• 8:48
  particularly
• 8:48
  the
• 8:48
  warehouse
• 8:49
  operations.
• 8:49
  So
• 8:49
  like
• 8:50
  is
• 8:50
  what
• 8:50
  you're
• 8:51
  describing.
• 8:51
  It
• 8:51
  sounds
• 8:51
  like
• 8:52
  you're
• 8:52
  talking
• 8:52
  more
• 8:52
  fixed
• 8:53
  position
• 8:53
  camera
• 8:53
  systems,
• 8:54
  but
• 8:54
  also
• 8:55
  potentially
• 8:56
  the
• 8:56
  application
• 8:56
  on
• 8:57
  robotics
• 8:57
  moving
• 8:57
  throughout
• 8:58
  the
• 8:58
  warehouse
• 8:58
  too.
• 9:00
  Give
• 9:00
  us
• 9:00
  the
• 9:00
  lay
• 9:01
  of
• 9:01
  the
• 9:01
  land
• 9:01
  there.
• 9:01
  What
• 9:01
  is,
• 9:01
  how
• 9:02
  do
• 9:02
  you
• 9:02
  think
• 9:02
  about
• 9:02
  all
• 9:02
  that?
• 9:03
  I
• 9:03
  mean,
• 9:03
  I
• 9:03
  think
• 9:03
  it's
• 9:03
  a
• 9:04
  combination
• 9:04
  of
• 9:04
  both.
• 9:05
  I
• 9:05
  mean
• 9:05
  that
• 9:05
  kind
• 9:05
  of
• 9:05
  example
• 9:06
  I
• 9:06
  gave
• 9:06
  you
• 9:07
  were
• 9:07
  more
• 9:07
  fixed
• 9:07
  like
• 9:08
  on
• 9:08
  a,
• 9:09
  at
• 9:09
  a
• 9:09
  workstation
• 9:10
  or
• 9:11
  on
• 9:11
  a
• 9:11
  conveyor
• 9:12
  to
• 9:12
  spot
• 9:12
  issues.
• 9:13
  But
• 9:14
  there
• 9:14
  are
• 9:14
  cameras
• 9:14
  and
• 9:15
  robotics
• 9:16
  and
• 9:16
  AMRs
• 9:16
  to
• 9:16
  make
• 9:17
  sure
• 9:17
  that
• 9:17
  they're
• 9:17
  navigating
• 9:18
  safely
• 9:18
  through
• 9:18
  the
• 9:18
  warehouse,
• 9:19
  just
• 9:19
  like
• 9:19
  they're,
• 9:19
  you
• 9:20
  know,
• 9:20
  cameras
• 9:20
  on
• 9:20
  a
• 9:21
  Tesla
• 9:21
  for
• 9:21
  self
• 9:22
  driving.
• 9:22
  So
• 9:23
  a
• 9:23
  similar
• 9:23
  concept,
• 9:25
  you
• 9:25
  know,
• 9:26
  and
• 9:26
  I
• 9:26
  think
• 9:26
  the
• 9:27
  we
• 9:27
  are
• 9:27
  at
• 9:27
  the
• 9:27
  early
• 9:28
  stages.
• 9:28
  I
• 9:28
  mean,
• 9:29
  you
• 9:29
  know,
• 9:29
  humanoid
• 9:29
  robots
• 9:30
  are
• 9:30
  all
• 9:30
  kind
• 9:30
  of
• 9:31
  you
• 9:31
  know,
• 9:32
  really
• 9:32
  in
• 9:33
  the
• 9:33
  media
• 9:33
  now.
• 9:34
  And
• 9:34
  that
• 9:34
  is
• 9:35
  something
• 9:35
  that
• 9:35
  is
• 9:35
  being
• 9:36
  worked
• 9:36
  towards
• 9:36
  the
• 9:36
  technology
• 9:37
  still
• 9:37
  very
• 9:38
  early,
• 9:39
  but
• 9:39
  that's
• 9:40
  quite
• 9:40
  interesting.
• 9:43
  What
• 9:43
  needs
• 9:44
  to
• 9:44
  happen,
• 9:44
  do
• 9:45
  you
• 9:45
  think,
• 9:45
  John,
• 9:45
  before
• 9:45
  we
• 9:46
  get
• 9:46
  to
• 9:46
  that
• 9:47
  point?
• 9:47
  I
• 9:47
  mean,
• 9:47
  is
• 9:48
  it.
• 9:48
  Is
• 9:48
  it
• 9:48
  mostly
• 9:49
  perception?
• 9:49
  Is
• 9:50
  it
• 9:50
  level
• 9:50
  of
• 9:50
  comfort?
• 9:51
  Is
• 9:51
  it
• 9:51
  the
• 9:52
  technology
• 9:52
  needing
• 9:53
  to
• 9:53
  get
• 9:53
  to
• 9:53
  a
• 9:53
  certain
• 9:53
  state?
• 9:54
  Like,
• 9:54
  where
• 9:55
  are
• 9:55
  we
• 9:55
  in
• 9:55
  that,
• 9:56
  in
• 9:56
  that.
• 9:56
  And
• 9:56
  what
• 9:57
  needs
• 9:57
  to
• 9:57
  happen
• 9:57
  before
• 9:58
  we.
• 9:58
  We
• 9:58
  kind
• 9:58
  of
• 9:58
  get
• 9:58
  to
• 9:59
  that
• 9:59
  next
• 9:59
  level?
• 10:01
  Yeah,
• 10:01
  so
• 10:01
  I
• 10:01
  guess
• 10:01
  I
• 10:02
  probably
• 10:02
  address
• 10:02
  that
• 10:02
  from
• 10:03
  a
• 10:03
  vision
• 10:03
  perspective.
• 10:04
  Like,
• 10:04
  you
• 10:04
  know,
• 10:05
  so
• 10:05
  from
• 10:05
  a
• 10:06
  vision
• 10:06
  perspective,
• 10:07
  you
• 10:08
  know,
• 10:08
  it's
• 10:08
  not
• 10:09
  good
• 10:09
  enough
• 10:09
  for
• 10:09
  a
• 10:09
  robot
• 10:10
  just
• 10:10
  to
• 10:10
  see
• 10:10
  a
• 10:10
  product
• 10:11
  and
• 10:11
  understand
• 10:11
  what
• 10:12
  it
• 10:12
  is.
• 10:12
  It
• 10:12
  really
• 10:12
  needs
• 10:13
  to.
• 10:13
  Let's
• 10:14
  say
• 10:14
  you
• 10:14
  want
• 10:14
  to
• 10:14
  have
• 10:14
  a
• 10:15
  robot
• 10:15
  that
• 10:15
  does
• 10:15
  picking.
• 10:16
  You
• 10:16
  want
• 10:16
  to
• 10:16
  have
• 10:16
  a
• 10:16
  humanoid
• 10:16
  robot
• 10:17
  that
• 10:17
  is
• 10:17
  picking
• 10:18
  inventory
• 10:18
  from
• 10:19
  a
• 10:19
  inventory
• 10:19
  tote
• 10:20
  and
• 10:20
  placing
• 10:20
  it
• 10:20
  into
• 10:21
  an
• 10:21
  order
• 10:21
  shipping
• 10:22
  box.
• 10:22
  It
• 10:23
  has
• 10:23
  to
• 10:23
  have
• 10:23
  a
• 10:23
  deep
• 10:23
  understanding
• 10:24
  of
• 10:24
  how
• 10:24
  to
• 10:25
  interact
• 10:25
  with
• 10:25
  that
• 10:25
  product.
• 10:26
  So
• 10:26
  it
• 10:26
  needs
• 10:27
  to
• 10:27
  be
• 10:27
  able
• 10:27
  to
• 10:27
  answer
• 10:27
  pretty
• 10:28
  complex
• 10:28
  questions
• 10:29
  in
• 10:30
  milliseconds.
• 10:30
  These
• 10:31
  are
• 10:31
  types
• 10:32
  of
• 10:32
  questions
• 10:32
  humans
• 10:32
  just
• 10:32
  do
• 10:33
  innately,
• 10:34
  but
• 10:34
  needs
• 10:34
  to
• 10:34
  understand,
• 10:35
  you
• 10:35
  know,
• 10:35
  based
• 10:35
  on
• 10:36
  the
• 10:36
  product.
• 10:37
  How
• 10:37
  should
• 10:37
  I
• 10:38
  grasp
• 10:38
  the
• 10:38
  product?
• 10:39
  How
• 10:39
  should
• 10:39
  I.
• 10:39
  What
• 10:40
  is
• 10:40
  the
• 10:40
  orientation
• 10:40
  when
• 10:41
  I
• 10:41
  place
• 10:41
  it
• 10:41
  in
• 10:41
  the
• 10:41
  shipping
• 10:42
  box?
• 10:42
  Can
• 10:42
  I
• 10:43
  place
• 10:43
  it
• 10:43
  on
• 10:43
  top
• 10:43
  of
• 10:43
  a
• 10:44
  bag
• 10:44
  of
• 10:44
  potato
• 10:44
  chips
• 10:44
  or
• 10:45
  is
• 10:45
  it
• 10:45
  going
• 10:45
  to
• 10:45
  crush
• 10:45
  it?
• 10:46
  So
• 10:46
  there's
• 10:46
  a
• 10:46
  lot
• 10:46
  of,
• 10:47
  like,
• 10:47
  yeah.
• 10:48
  Yeah,
• 10:49
  there's
• 10:49
  a
• 10:49
  lot
• 10:49
  of
• 10:49
  questions
• 10:50
  it
• 10:50
  needs
• 10:50
  to
• 10:50
  run
• 10:50
  through.
• 10:50
  It
• 10:51
  needs
• 10:51
  to
• 10:51
  run
• 10:51
  through
• 10:51
  those
• 10:51
  very,
• 10:51
  very
• 10:52
  quickly.
• 10:53
  Whereas
• 10:53
  humans,
• 10:53
  we
• 10:53
  just
• 10:54
  know,
• 10:54
  right?
• 10:54
  We
• 10:54
  just
• 10:54
  pick
• 10:54
  this
• 10:55
  up
• 10:55
  and
• 10:55
  be
• 10:55
  like,
• 10:55
  I
• 10:56
  can't
• 10:56
  put
• 10:56
  this
• 10:56
  on
• 10:56
  top
• 10:56
  of
• 10:56
  potato
• 10:57
  chips.
• 10:57
  It
• 10:57
  will
• 10:57
  crush
• 10:57
  it.
• 10:58
  So
• 10:59
  there's
• 10:59
  a
• 10:59
  lot
• 10:59
  of
• 10:59
  buzz
• 11:00
  there.
• 11:00
  But
• 11:00
  the
• 11:00
  vision
• 11:01
  is
• 11:01
  quite
• 11:01
  important
• 11:03
  to
• 11:03
  unlock
• 11:04
  that
• 11:04
  technology.
• 11:05
  That's
• 11:06
  interesting,
• 11:06
  John.
• 11:06
  And
• 11:07
  I
• 11:07
  remember
• 11:07
  Amazon
• 11:07
  Vulcan
• 11:08
  seeing
• 11:08
  some
• 11:09
  videos
• 11:09
  on
• 11:09
  that.
• 11:09
  In
• 11:09
  terms
• 11:09
  of
• 11:10
  how
• 11:10
  that
• 11:10
  works
• 11:10
  is
• 11:10
  kind
• 11:10
  of
• 11:11
  talk.
• 11:11
  It
• 11:11
  kind
• 11:11
  of
• 11:11
  gets
• 11:11
  at
• 11:12
  what
• 11:12
  you're
• 11:12
  saying,
• 11:12
  like
• 11:12
  a
• 11:13
  robot
• 11:13
  that
• 11:13
  can
• 11:13
  kind
• 11:13
  of
• 11:14
  get
• 11:14
  those
• 11:14
  use
• 11:14
  cases,
• 11:15
  edge
• 11:15
  cases.
• 11:16
  But
• 11:16
  I'm
• 11:16
  curious
• 11:17
  because
• 11:17
  like
• 11:17
  I
• 11:17
  said
• 11:17
  before,
• 11:18
  I
• 11:18
  was
• 11:18
  surprised
• 11:18
  at
• 11:18
  NRF
• 11:19
  how
• 11:19
  many
• 11:19
  people
• 11:20
  were
• 11:20
  talking
• 11:21
  about
• 11:21
  huge
• 11:22
  humanoid
• 11:22
  robots.
• 11:23
  And
• 11:23
  part
• 11:23
  of
• 11:23
  the
• 11:24
  pun
• 11:25
  of
• 11:25
  me
• 11:25
  doing
• 11:25
  this
• 11:25
  for
• 11:26
  eight
• 11:26
  years
• 11:26
  says,
• 11:27
  okay,
• 11:28
  that's
• 11:28
  because
• 11:28
  robots
• 11:28
  are
• 11:28
  always
• 11:29
  the
• 11:29
  sexy
• 11:29
  thing.
• 11:29
  And
• 11:30
  are
• 11:30
  we
• 11:30
  just
• 11:30
  saying
• 11:30
  that
• 11:30
  because
• 11:31
  they're
• 11:31
  the
• 11:31
  sexy
• 11:31
  thing?
• 11:33
  If
• 11:33
  you
• 11:33
  were
• 11:33
  to
• 11:33
  predict
• 11:34
  how
• 11:34
  far
• 11:34
  out
• 11:35
  are
• 11:35
  we
• 11:35
  from
• 11:35
  a
• 11:35
  humanoid
• 11:36
  robot
• 11:37
  functioning
• 11:37
  at
• 11:37
  scale
• 11:38
  in
• 11:38
  a
• 11:38
  warehouse
• 11:39
  environment,
• 11:40
  are
• 11:40
  we
• 11:40
  talking
• 11:40
  10
• 11:40
  years,
• 11:41
  15
• 11:41
  years,
• 11:41
  5
• 11:42
  years?
• 11:42
  What's
• 11:43
  your
• 11:43
  take?
• 11:45
  Well,
• 11:45
  let
• 11:45
  me
• 11:46
  start
• 11:46
  that
• 11:46
  off
• 11:46
  by
• 11:46
  saying
• 11:46
  I
• 11:47
  do
• 11:47
  feel
• 11:47
  like
• 11:47
  humanoids
• 11:48
  will
• 11:48
  be
• 11:48
  a
• 11:48
  big
• 11:48
  part
• 11:48
  in
• 11:48
  warehouses.
• 11:49
  And
• 11:50
  one
• 11:50
  of
• 11:50
  the
• 11:50
  major
• 11:50
  Challenges
• 11:51
  is
• 11:51
  they
• 11:51
  fit
• 11:52
  right
• 11:52
  in.
• 11:53
  They,
• 11:53
  you
• 11:54
  know,
• 11:54
  they
• 11:54
  have
• 11:54
  the,
• 11:55
  they
• 11:55
  have
• 11:55
  arms
• 11:56
  and
• 11:56
  legs
• 11:56
  or
• 11:56
  maybe
• 11:57
  they're
• 11:57
  on
• 11:57
  wheels.
• 11:57
  But
• 11:58
  they
• 11:58
  can
• 11:58
  fit
• 11:58
  right
• 11:58
  into
• 11:58
  a
• 11:59
  warehouse
• 11:59
  environment
• 11:59
  without
• 12:00
  any
• 12:00
  costly
• 12:01
  infrastructure
• 12:01
  changes.
• 12:03
  And
• 12:03
  there's
• 12:03
  a
• 12:03
  lot
• 12:03
  of
• 12:03
  really
• 12:03
  major
• 12:04
  players
• 12:04
  that
• 12:04
  are
• 12:04
  pouring
• 12:05
  a
• 12:05
  lot
• 12:05
  of
• 12:05
  money
• 12:05
  into
• 12:06
  it.
• 12:06
  So
• 12:06
  my
• 12:06
  optimistic
• 12:07
  take
• 12:07
  is
• 12:08
  that
• 12:09
  that
• 12:09
  will
• 12:09
  gain
• 12:10
  traction
• 12:10
  and
• 12:10
  there
• 12:10
  will
• 12:10
  be
• 12:11
  manufacturing
• 12:11
  scale
• 12:11
  at
• 12:12
  some
• 12:12
  point.
• 12:13
  Now,
• 12:13
  you
• 12:14
  know,
• 12:14
  I
• 12:14
  view
• 12:14
  where
• 12:14
  we
• 12:15
  are
• 12:15
  today
• 12:15
  as
• 12:15
  we're
• 12:16
  past
• 12:16
  the,
• 12:17
  the
• 12:17
  sci
• 12:18
  fi
• 12:18
  demo
• 12:18
  stage.
• 12:19
  You
• 12:19
  know,
• 12:19
  when
• 12:19
  I
• 12:19
  was
• 12:19
  10,
• 12:20
  like
• 12:20
  I
• 12:20
  watched
• 12:20
  the
• 12:20
  Jetsons
• 12:21
  all
• 12:21
  the
• 12:21
  time,
• 12:22
  I
• 12:22
  wanted
• 12:22
  Rosie
• 12:23
  to
• 12:23
  clean
• 12:23
  my
• 12:23
  room
• 12:23
  and
• 12:23
  I
• 12:23
  wanted
• 12:24
  a
• 12:24
  fly
• 12:24
  car
• 12:24
  and
• 12:25
  you
• 12:25
  know,
• 12:25
  we're
• 12:25
  not
• 12:26
  there
• 12:26
  yet,
• 12:26
  but
• 12:26
  we
• 12:27
  are
• 12:27
  past
• 12:27
  that
• 12:28
  sci
• 12:28
  fi
• 12:29
  demoist
• 12:29
  type
• 12:29
  stage.
• 12:30
  Right.
• 12:30
  So
• 12:30
  there
• 12:31
  are
• 12:31
  real
• 12:31
  warehousing.
• 12:32
  You
• 12:32
  mentioned
• 12:32
  Amazon,
• 12:32
  Vulcan,
• 12:33
  there's
• 12:33
  our
• 12:33
  real
• 12:34
  warehouse
• 12:34
  and
• 12:34
  manufacturing
• 12:35
  pilots
• 12:35
  happening
• 12:36
  today.
• 12:36
  I
• 12:37
  expect
• 12:37
  those
• 12:37
  to
• 12:37
  continue.
• 12:39
  You
• 12:39
  know,
• 12:39
  those
• 12:39
  use
• 12:40
  cases
• 12:40
  happening
• 12:40
  today
• 12:40
  are
• 12:41
  fairly
• 12:41
  simple.
• 12:42
  You
• 12:42
  know,
• 12:42
  they're
• 12:42
  not
• 12:43
  super
• 12:43
  complex
• 12:43
  use
• 12:43
  cases.
• 12:44
  But
• 12:44
  the
• 12:45
  complexity
• 12:45
  of
• 12:46
  the
• 12:46
  capabilities
• 12:46
  they'll
• 12:47
  be
• 12:47
  able
• 12:47
  to,
• 12:47
  will
• 12:48
  grow
• 12:48
  over
• 12:48
  time.
• 12:49
  And
• 12:50
  just
• 12:50
  the
• 12:50
  fact
• 12:50
  that
• 12:50
  a
• 12:50
  humanoid
• 12:51
  could
• 12:51
  do
• 12:53
  is
• 12:53
  more
• 12:53
  is
• 12:53
  multi
• 12:54
  purpose.
• 12:54
  You
• 12:54
  know,
• 12:55
  it
• 12:55
  can,
• 12:56
  it
• 12:56
  could
• 12:56
  do
• 12:56
  picking
• 12:56
  and
• 12:57
  packing
• 12:57
  and
• 12:58
  receiving
• 12:58
  and
• 12:59
  maintenance.
• 13:00
  You
• 13:00
  know,
• 13:01
  people
• 13:01
  that
• 13:02
  are
• 13:02
  old
• 13:02
  enough
• 13:02
  that,
• 13:02
  you
• 13:03
  know,
• 13:03
  pre
• 13:03
  smartphone,
• 13:04
  you
• 13:04
  know,
• 13:04
  you
• 13:04
  might
• 13:04
  have
• 13:05
  had
• 13:05
  a
• 13:05
  GPS,
• 13:06
  an
• 13:06
  iPod,
• 13:07
  calculator
• 13:08
  and
• 13:08
  a
• 13:09
  telephone.
• 13:09
  That's
• 13:09
  all
• 13:09
  in
• 13:10
  one
• 13:10
  device
• 13:10
  now.
• 13:10
  So
• 13:11
  general
• 13:11
  purpose
• 13:11
  usually
• 13:12
  wins
• 13:12
  in
• 13:12
  technology.
• 13:13
  So
• 13:14
  I
• 13:14
  feel
• 13:14
  like
• 13:14
  we'll
• 13:15
  get
• 13:15
  there.
• 13:15
  It
• 13:16
  will
• 13:16
  take
• 13:16
  time.
• 13:18
  Envision
• 13:18
  is
• 13:18
  a
• 13:19
  big
• 13:19
  part
• 13:19
  of
• 13:19
  it,
• 13:19
  but
• 13:19
  I
• 13:20
  think
• 13:20
  you
• 13:20
  also
• 13:20
  have
• 13:21
  kind
• 13:21
  of
• 13:21
  the
• 13:21
  boring
• 13:21
  stuff,
• 13:22
  you
• 13:22
  know,
• 13:22
  like
• 13:23
  you
• 13:23
  got
• 13:23
  to
• 13:23
  get
• 13:23
  the
• 13:23
  cost
• 13:24
  down,
• 13:24
  battery
• 13:25
  has
• 13:25
  to
• 13:25
  have
• 13:26
  enough
• 13:26
  life,
• 13:27
  needs
• 13:27
  to
• 13:27
  be
• 13:27
  able
• 13:27
  to
• 13:27
  charge
• 13:28
  fast.
• 13:28
  So
• 13:28
  there's
• 13:28
  a
• 13:28
  lot
• 13:29
  of
• 13:29
  other
• 13:29
  elements
• 13:30
  there.
• 13:30
  But
• 13:31
  you
• 13:31
  know,
• 13:31
  I,
• 13:32
  I
• 13:32
  feel
• 13:32
  like
• 13:32
  it
• 13:32
  will
• 13:32
  come
• 13:33
  together,
• 13:33
  you
• 13:34
  know,
• 13:34
  as
• 13:34
  far
• 13:34
  as
• 13:34
  a
• 13:34
  time
• 13:34
  frame,
• 13:35
  it's
• 13:35
  really
• 13:35
  hard
• 13:35
  to
• 13:35
  say
• 13:36
  at
• 13:36
  scale.
• 13:37
  I
• 13:37
  feel
• 13:38
  like
• 13:38
  over
• 13:38
  the
• 13:38
  next
• 13:38
  five
• 13:38
  years
• 13:38
  you'll
• 13:39
  see
• 13:39
  a
• 13:39
  lot
• 13:39
  more
• 13:40
  increasingly
• 13:41
  complex
• 13:41
  use
• 13:41
  cases
• 13:41
  being
• 13:42
  done
• 13:42
  and
• 13:42
  then
• 13:43
  eventually
• 13:43
  it
• 13:43
  will
• 13:44
  kind
• 13:44
  of
• 13:44
  just
• 13:44
  come
• 13:44
  together
• 13:45
  kind
• 13:45
  of
• 13:45
  like
• 13:45
  a
• 13:45
  smartphone
• 13:46
  to
• 13:46
  over
• 13:46
  time.
• 13:47
  Got
• 13:47
  it,
• 13:48
  got
• 13:48
  it.
• 13:48
  So
• 13:48
  I
• 13:48
  take
• 13:48
  away
• 13:48
  two
• 13:49
  things
• 13:49
  from
• 13:49
  what
• 13:49
  you
• 13:49
  said
• 13:49
  there.
• 13:49
  I
• 13:49
  think
• 13:49
  one,
• 13:50
  I.
• 13:50
  One,
• 13:50
  it's
• 13:50
  closer
• 13:51
  probably
• 13:51
  than
• 13:51
  I
• 13:51
  think.
• 13:52
  You
• 13:52
  know,
• 13:52
  based
• 13:52
  on
• 13:52
  how
• 13:53
  I
• 13:53
  set
• 13:53
  up
• 13:53
  that
• 13:53
  question,
• 13:53
  it's
• 13:54
  probably
• 13:54
  closer
• 13:54
  than
• 13:54
  I
• 13:55
  think
• 13:55
  it
• 13:55
  is.
• 13:55
  And
• 13:56
  then
• 13:56
  two,
• 13:56
  like
• 13:56
  I
• 13:56
  said
• 13:57
  at
• 13:57
  the
• 13:57
  outset,
• 13:58
  even
• 13:58
  the
• 13:58
  word
• 13:58
  humanoid
• 13:59
  is
• 13:59
  kind
• 13:59
  of
• 13:59
  a
• 13:59
  disservice
• 14:00
  because
• 14:00
  a
• 14:00
  humanoid
• 14:01
  can
• 14:01
  come
• 14:01
  in
• 14:01
  many
• 14:01
  shapes,
• 14:02
  sizes
• 14:02
  and
• 14:02
  forms
• 14:03
  too,
• 14:04
  if
• 14:04
  I'm
• 14:04
  hearing
• 14:04
  you
• 14:04
  right
• 14:05
  John.
• 14:05
  And
• 14:05
  so
• 14:05
  like,
• 14:05
  yeah,
• 14:06
  that
• 14:06
  can,
• 14:06
  that's
• 14:07
  going
• 14:07
  to
• 14:08
  change
• 14:08
  and,
• 14:08
  and,
• 14:09
  and
• 14:09
  shape
• 14:09
  as
• 14:10
  the
• 14:10
  future
• 14:10
  plays
• 14:10
  out
• 14:10
  here
• 14:11
  too.
• 14:11
  All
• 14:11
  right,
• 14:11
  well,
• 14:12
  let's
• 14:12
  go
• 14:12
  to
• 14:12
  the
• 14:12
  Last
• 14:12
  one
• 14:12
  then.
• 14:13
  LLMs.
• 14:14
  How
• 14:15
  are
• 14:15
  warehouse
• 14:15
  operations
• 14:16
  deploying
• 14:17
  that
• 14:17
  side
• 14:18
  of
• 14:18
  AI?
• 14:20
  I
• 14:20
  mean,
• 14:20
  you
• 14:20
  know,
• 14:21
  this
• 14:21
  is
• 14:21
  fairly
• 14:21
  new.
• 14:22
  You
• 14:23
  know,
• 14:23
  everyone
• 14:23
  uses
• 14:23
  ChatGPT.
• 14:24
  This
• 14:25
  is
• 14:25
  about,
• 14:25
  you
• 14:25
  know,
• 14:25
  connecting
• 14:26
  that
• 14:26
  into
• 14:26
  your
• 14:27
  warehouse
• 14:27
  data.
• 14:27
  A
• 14:27
  chat
• 14:28
  GPT
• 14:28
  like,
• 14:29
  you
• 14:29
  know,
• 14:29
  LLM
• 14:31
  and
• 14:32
  you
• 14:32
  know,
• 14:32
  kind
• 14:32
  of
• 14:32
  the
• 14:32
  value
• 14:33
  we
• 14:33
  see
• 14:33
  is
• 14:33
  that,
• 14:34
  you
• 14:34
  know,
• 14:34
  today
• 14:35
  to
• 14:36
  really
• 14:36
  get
• 14:36
  to
• 14:37
  information
• 14:37
  to
• 14:37
  understand
• 14:38
  your
• 14:38
  operation.
• 14:38
  I
• 14:39
  mean
• 14:39
  there's,
• 14:39
  you
• 14:39
  know,
• 14:39
  people
• 14:39
  have
• 14:40
  dashboards
• 14:40
  for
• 14:40
  KPIs
• 14:41
  and
• 14:41
  you
• 14:41
  can
• 14:41
  see
• 14:41
  that,
• 14:42
  but
• 14:42
  it's
• 14:42
  not
• 14:43
  really,
• 14:44
  you
• 14:44
  can't
• 14:44
  get
• 14:44
  to
• 14:45
  the
• 14:45
  deep
• 14:45
  understanding
• 14:46
  or
• 14:46
  kind
• 14:46
  of
• 14:46
  root
• 14:47
  cause.
• 14:47
  If
• 14:47
  there's
• 14:47
  problems,
• 14:48
  you
• 14:48
  might
• 14:48
  have
• 14:48
  to
• 14:48
  go
• 14:49
  to
• 14:49
  multiple
• 14:49
  sources,
• 14:50
  export
• 14:50
  some
• 14:51
  data
• 14:51
  to
• 14:51
  a
• 14:51
  spreadsheet,
• 14:52
  I
• 14:52
  don't
• 14:52
  know,
• 14:53
  create
• 14:53
  a
• 14:53
  pivot,
• 14:53
  pivot
• 14:54
  table.
• 14:54
  So
• 14:54
  it
• 14:54
  takes
• 14:54
  a
• 14:54
  long
• 14:55
  time
• 14:55
  to
• 14:55
  get
• 14:55
  to
• 14:55
  insights
• 14:56
  and
• 14:57
  our
• 14:57
  feelings.
• 14:58
  This
• 14:58
  kind
• 14:59
  of
• 14:59
  LLM
• 14:59
  models,
• 15:00
  you'll
• 15:00
  be
• 15:00
  able
• 15:00
  to
• 15:00
  ask
• 15:01
  questions
• 15:01
  like
• 15:02
  where
• 15:02
  is
• 15:03
  the
• 15:03
  bottleneck
• 15:03
  today?
• 15:04
  And
• 15:05
  the
• 15:05
  LLM
• 15:05
  will
• 15:05
  be
• 15:05
  able
• 15:06
  to
• 15:06
  go
• 15:06
  off
• 15:06
  and
• 15:06
  triangulate
• 15:07
  data
• 15:07
  from
• 15:08
  multiple
• 15:08
  different
• 15:09
  sources
• 15:09
  and
• 15:10
  then
• 15:10
  source
• 15:11
  a
• 15:11
  more
• 15:12
  intelligent
• 15:12
  answer
• 15:13
  and
• 15:13
  display
• 15:14
  that
• 15:14
  back
• 15:14
  to
• 15:14
  the
• 15:14
  user
• 15:15
  within
• 15:15
  seconds
• 15:16
  and
• 15:16
  even
• 15:17
  display
• 15:17
  it
• 15:17
  as
• 15:17
  like
• 15:17
  a
• 15:17
  chart
• 15:18
  with
• 15:18
  trends
• 15:18
  or
• 15:19
  whatever
• 15:19
  format
• 15:20
  is
• 15:20
  appropriate.
• 15:21
  So,
• 15:22
  so
• 15:22
  it's
• 15:22
  really
• 15:22
  about
• 15:22
  kind
• 15:22
  of
• 15:23
  dramatically
• 15:24
  reducing
• 15:24
  the
• 15:25
  time
• 15:25
  from
• 15:26
  question
• 15:26
  or
• 15:26
  you
• 15:27
  have
• 15:27
  a
• 15:27
  problem
• 15:27
  to
• 15:27
  solve
• 15:27
  to
• 15:28
  actually
• 15:28
  getting
• 15:28
  insights
• 15:29
  out
• 15:29
  of
• 15:29
  it
• 15:29
  and
• 15:29
  just
• 15:30
  being
• 15:30
  able
• 15:30
  to
• 15:30
  solve
• 15:30
  problems
• 15:31
  faster.
• 15:31
  I
• 15:31
  have
• 15:32
  so
• 15:32
  many
• 15:32
  questions
• 15:32
  for
• 15:32
  you,
• 15:33
  John,
• 15:33
  here
• 15:33
  especially
• 15:34
  like,
• 15:34
  you
• 15:35
  know,
• 15:35
  you
• 15:35
  use
• 15:35
  that
• 15:35
  example
• 15:36
  of
• 15:36
  like
• 15:36
  the
• 15:36
  LLM
• 15:38
  model
• 15:38
  being
• 15:39
  able
• 15:39
  to
• 15:39
  ask
• 15:39
  like
• 15:40
  where,
• 15:40
  where's
• 15:40
  the
• 15:40
  friction
• 15:41
  point
• 15:41
  here?
• 15:42
  How
• 15:42
  far
• 15:42
  out
• 15:43
  are
• 15:43
  we
• 15:43
  then
• 15:43
  from
• 15:44
  like
• 15:45
  that
• 15:45
  question
• 15:46
  being
• 15:46
  posed
• 15:46
  to
• 15:47
  like
• 15:47
  an
• 15:47
  AI
• 15:48
  employee
• 15:48
  and
• 15:49
  then
• 15:49
  the
• 15:49
  AI
• 15:49
  employee
• 15:50
  answers
• 15:50
  that
• 15:51
  and
• 15:51
  is
• 15:51
  really
• 15:52
  running
• 15:52
  the
• 15:52
  whole
• 15:53
  thing
• 15:53
  themselves.
• 15:55
  I
• 15:56
  mean,
• 15:56
  I
• 15:56
  think
• 15:56
  that's
• 15:56
  kind
• 15:56
  of
• 15:56
  the
• 15:56
  ultimate
• 15:57
  vision
• 15:57
  where
• 15:57
  it's,
• 15:58
  you
• 15:58
  know,
• 15:58
  many
• 15:58
  different
• 15:58
  agents
• 15:59
  that
• 16:00
  have
• 16:00
  a,
• 16:00
  you
• 16:01
  know,
• 16:01
  very
• 16:01
  specific
• 16:02
  task
• 16:02
  and
• 16:02
  they're,
• 16:03
  that's,
• 16:03
  you
• 16:03
  know,
• 16:03
  I
• 16:03
  am
• 16:04
  the
• 16:04
  SKU
• 16:04
  demand
• 16:05
  forecasting
• 16:05
  agent
• 16:06
  and
• 16:06
  I'm
• 16:07
  the
• 16:08
  slotting
• 16:08
  agent
• 16:09
  and
• 16:09
  they
• 16:09
  collaborate
• 16:10
  together
• 16:11
  to
• 16:11
  make
• 16:11
  decisions
• 16:12
  and
• 16:12
  ultimately,
• 16:14
  you
• 16:14
  know,
• 16:14
  create
• 16:15
  the
• 16:15
  task
• 16:15
  and
• 16:15
  have
• 16:15
  the
• 16:16
  task
• 16:16
  executed
• 16:17
  automatically.
• 16:18
  You
• 16:18
  know,
• 16:18
  I
• 16:19
  don't
• 16:19
  see
• 16:19
  that
• 16:19
  happening
• 16:20
  overnight.
• 16:20
  This
• 16:21
  is
• 16:21
  like
• 16:22
  kind
• 16:22
  of
• 16:22
  like
• 16:22
  the
• 16:22
  crawl,
• 16:23
  crawl,
• 16:23
  walk,
• 16:23
  run
• 16:24
  path
• 16:25
  to
• 16:25
  that
• 16:25
  future.
• 16:27
  So
• 16:27
  the
• 16:27
  crawl
• 16:28
  side
• 16:28
  is
• 16:28
  more,
• 16:29
  more
• 16:29
  around
• 16:29
  decision
• 16:29
  support
• 16:30
  where
• 16:30
  a
• 16:30
  human
• 16:30
  is
• 16:31
  in
• 16:31
  the
• 16:31
  loop.
• 16:31
  Maybe
• 16:32
  if
• 16:32
  we
• 16:32
  go
• 16:32
  back
• 16:33
  to
• 16:33
  the,
• 16:33
  you
• 16:34
  know,
• 16:34
  a
• 16:34
  forecast,
• 16:35
  you
• 16:35
  know,
• 16:35
  maybe
• 16:35
  it
• 16:35
  surfaces
• 16:36
  a
• 16:36
  risk,
• 16:37
  hey,
• 16:37
  these
• 16:38
  SKUs
• 16:38
  are,
• 16:39
  are
• 16:39
  gonna,
• 16:39
  we
• 16:39
  think
• 16:40
  these
• 16:40
  SKUs
• 16:40
  will
• 16:40
  be
• 16:40
  out
• 16:40
  of
• 16:40
  stock
• 16:41
  between
• 16:41
  2
• 16:41
  and
• 16:42
  4
• 16:42
  today.
• 16:43
  Here's,
• 16:43
  here's
• 16:43
  what
• 16:44
  we
• 16:44
  recommend
• 16:44
  that
• 16:44
  you
• 16:44
  do.
• 16:44
  And
• 16:44
  the
• 16:45
  human
• 16:45
  looks
• 16:45
  at
• 16:45
  it
• 16:45
  and
• 16:45
  says,
• 16:45
  yep,
• 16:46
  I'm
• 16:46
  good
• 16:46
  with
• 16:46
  that.
• 16:46
  And
• 16:47
  then
• 16:47
  they,
• 16:47
  they
• 16:47
  get
• 16:48
  those
• 16:48
  tasks
• 16:48
  executed.
• 16:50
  And
• 16:51
  so
• 16:51
  the
• 16:51
  humans
• 16:51
  are
• 16:51
  still
• 16:51
  making
• 16:52
  the
• 16:52
  decisions
• 16:52
  there,
• 16:53
  and
• 16:53
  they're
• 16:53
  not
• 16:53
  just
• 16:53
  turning
• 16:54
  the
• 16:54
  keys
• 16:54
  over
• 16:54
  to
• 16:54
  AI.
• 16:55
  And
• 16:55
  we
• 16:56
  need
• 16:56
  to
• 16:56
  build
• 16:56
  trust
• 16:56
  and
• 16:57
  validate
• 16:57
  the
• 16:57
  technology.
• 16:59
  And
• 17:00
  then
• 17:00
  I
• 17:00
  think
• 17:00
  from
• 17:00
  there
• 17:00
  you
• 17:01
  go
• 17:01
  into
• 17:01
  a
• 17:01
  more
• 17:01
  decision
• 17:02
  intelligence
• 17:03
  where
• 17:04
  the
• 17:04
  AI
• 17:05
  is
• 17:05
  proposing
• 17:06
  actions
• 17:06
  and
• 17:06
  maybe
• 17:07
  they're
• 17:07
  proposing
• 17:07
  a
• 17:07
  confidence
• 17:08
  in
• 17:08
  those
• 17:08
  actions,
• 17:09
  and
• 17:09
  then
• 17:09
  maybe
• 17:09
  there
• 17:09
  are
• 17:10
  some
• 17:11
  more
• 17:11
  systematic
• 17:12
  rules
• 17:12
  that
• 17:12
  are
• 17:12
  configuring.
• 17:13
  Say,
• 17:13
  okay,
• 17:13
  if
• 17:13
  the
• 17:14
  confidence
• 17:14
  is
• 17:14
  above
• 17:15
  90%,
• 17:16
  automatically
• 17:17
  create
• 17:17
  those
• 17:17
  tasks.
• 17:18
  If
• 17:18
  it's
• 17:18
  lower,
• 17:19
  service
• 17:19
  them
• 17:20
  to
• 17:20
  me.
• 17:20
  I'll
• 17:20
  review
• 17:21
  them
• 17:21
  and
• 17:22
  either
• 17:22
  reject
• 17:23
  them
• 17:23
  or
• 17:24
  move
• 17:24
  forward
• 17:24
  with
• 17:25
  them.
• 17:25
  And
• 17:26
  so
• 17:26
  that
• 17:26
  would
• 17:26
  be
• 17:26
  kind
• 17:27
  of
• 17:27
  a
• 17:27
  feedback
• 17:27
  mechanism
• 17:28
  that
• 17:28
  will
• 17:28
  also
• 17:28
  help
• 17:29
  the
• 17:29
  AI
• 17:29
  train
• 17:30
  and
• 17:30
  then
• 17:30
  also
• 17:30
  keep,
• 17:31
  you
• 17:31
  know,
• 17:31
  kind
• 17:31
  of
• 17:31
  keep
• 17:31
  the
• 17:32
  people
• 17:33
  still
• 17:33
  in
• 17:33
  charge.
• 17:34
  So
• 17:34
  certainly
• 17:35
  just
• 17:35
  like,
• 17:36
  there's
• 17:36
  still
• 17:37
  a
• 17:37
  human
• 17:37
  in
• 17:37
  the
• 17:38
  loop
• 17:38
  and
• 17:38
  there's
• 17:38
  still
• 17:39
  somebody
• 17:39
  that's
• 17:39
  analyzing
• 17:40
  the
• 17:40
  data
• 17:40
  that's
• 17:41
  coming
• 17:41
  together,
• 17:41
  but
• 17:42
  it's
• 17:43
  fewer
• 17:43
  people
• 17:43
  that
• 17:44
  need
• 17:44
  to
• 17:44
  be
• 17:44
  part
• 17:45
  of
• 17:45
  that
• 17:45
  that
• 17:45
  are
• 17:46
  making
• 17:46
  those
• 17:46
  decisions.
• 17:47
  So
• 17:47
  it
• 17:47
  can
• 17:48
  speed
• 17:48
  up
• 17:49
  manufacturing
• 17:49
  or
• 17:50
  speed
• 17:50
  up
• 17:50
  the
• 17:50
  process
• 17:51
  of
• 17:51
  whatever
• 17:51
  those
• 17:52
  robotics
• 17:52
  are
• 17:52
  trying
• 17:53
  to
• 17:53
  do.
• 17:53
  Got
• 17:53
  it.
• 17:54
  That's
• 17:54
  right.
• 17:54
  And
• 17:55
  I
• 17:55
  think,
• 17:55
  you
• 17:55
  know,
• 17:55
  longer
• 17:56
  term,
• 17:56
  I
• 17:56
  think
• 17:56
  the
• 17:56
  agents
• 17:57
  are
• 17:57
  more
• 17:57
  running
• 17:58
  the
• 17:58
  building,
• 17:59
  you
• 17:59
  could
• 17:59
  say,
• 17:59
  but.
• 18:00
  But
• 18:00
  there's
• 18:00
  always
• 18:00
  human
• 18:01
  oversight
• 18:01
  and
• 18:02
  the
• 18:02
  strategic
• 18:03
  direction.
• 18:03
  You
• 18:04
  know,
• 18:04
  guardrails
• 18:05
  need
• 18:05
  to
• 18:05
  be
• 18:05
  in,
• 18:06
  be
• 18:06
  in
• 18:06
  place
• 18:06
  for
• 18:06
  safety
• 18:07
  and
• 18:07
  your
• 18:08
  labor
• 18:08
  rules
• 18:09
  in
• 18:09
  the
• 18:09
  market,
• 18:09
  depending
• 18:09
  on
• 18:09
  the
• 18:10
  market
• 18:10
  you're
• 18:10
  in
• 18:10
  and
• 18:10
  your
• 18:11
  KPI
• 18:11
  targets.
• 18:12
  So
• 18:12
  there's
• 18:12
  still
• 18:13
  human
• 18:13
  involvement
• 18:14
  there
• 18:14
  and
• 18:15
  overall
• 18:15
  strategic
• 18:16
  leadership.
• 18:17
  But
• 18:17
  yeah,
• 18:18
  ultimately
• 18:18
  I
• 18:19
  think
• 18:19
  you
• 18:19
  will
• 18:19
  see
• 18:19
  AIs
• 18:20
  making
• 18:20
  more
• 18:20
  decisions
• 18:23
  independently
• 18:23
  and
• 18:24
  collectively,
• 18:24
  I
• 18:24
  guess.
• 18:26
  So,
• 18:26
  John,
• 18:26
  it
• 18:26
  sounds
• 18:27
  like.
• 18:27
  So
• 18:27
  it
• 18:27
  sounds
• 18:27
  like
• 18:28
  at
• 18:28
  the
• 18:28
  start,
• 18:28
  it's
• 18:29
  more
• 18:29
  of
• 18:29
  a
• 18:29
  management
• 18:30
  tool
• 18:30
  and
• 18:30
  a
• 18:30
  productivity
• 18:31
  tool.
• 18:32
  And
• 18:32
  I'm
• 18:32
  curious,
• 18:33
  you
• 18:34
  know,
• 18:34
  you
• 18:34
  know,
• 18:35
  how
• 18:35
  far
• 18:35
  out
• 18:35
  is
• 18:36
  that?
• 18:36
  Like,
• 18:36
  are
• 18:37
  people
• 18:37
  starting
• 18:37
  this?
• 18:38
  Like,
• 18:38
  are
• 18:38
  you
• 18:38
  seeing
• 18:38
  people
• 18:39
  try
• 18:39
  to
• 18:39
  do
• 18:40
  this?
• 18:41
  I
• 18:41
  mean,
• 18:41
  the
• 18:41
  decision
• 18:42
  support
• 18:42
  is
• 18:42
  happening
• 18:43
  now
• 18:43
  where
• 18:43
  we
• 18:43
  will
• 18:44
  recommend.
• 18:45
  So
• 18:45
  we'll
• 18:45
  recommend,
• 18:45
  hey,
• 18:46
  we
• 18:46
  have
• 18:46
  this
• 18:46
  AI
• 18:46
  algorithm.
• 18:47
  We've
• 18:48
  forecasted
• 18:48
  the
• 18:49
  demand
• 18:50
  for
• 18:50
  the
• 18:50
  next
• 18:51
  hour,
• 18:51
  four
• 18:52
  hours,
• 18:52
  day,
• 18:53
  whatever.
• 18:53
  This
• 18:54
  is
• 18:54
  what
• 18:54
  you
• 18:54
  should
• 18:54
  replenish.
• 18:56
  And
• 18:56
  then
• 18:56
  the
• 18:56
  humans
• 18:57
  will
• 18:57
  make
• 18:57
  decision.
• 18:57
  Like,
• 18:57
  yep,
• 18:58
  of
• 18:58
  these
• 18:58
  hundred
• 18:59
  that
• 18:59
  you
• 18:59
  recommended,
• 18:59
  I'll
• 19:00
  do
• 19:00
  the
• 19:00
  top
• 19:00
  80
• 19:01
  or
• 19:01
  something.
• 19:02
  So
• 19:02
  that's
• 19:03
  happening
• 19:03
  today.
• 19:03
  And
• 19:04
  the
• 19:04
  decision
• 19:05
  intelligence
• 19:05
  is
• 19:05
  probably
• 19:06
  the
• 19:06
  next
• 19:07
  phase
• 19:07
  where
• 19:07
  it's
• 19:08
  where
• 19:08
  we
• 19:08
  kind
• 19:09
  of
• 19:09
  have
• 19:09
  more
• 19:09
  rules
• 19:10
  embedded
• 19:10
  that
• 19:10
  will
• 19:11
  decide,
• 19:11
  like,
• 19:11
  okay,
• 19:12
  if
• 19:12
  the
• 19:13
  Confidence
• 19:13
  of
• 19:13
  the
• 19:13
  AI
• 19:14
  output
• 19:14
  is
• 19:15
  above
• 19:15
  a
• 19:15
  certain
• 19:15
  percentage,
• 19:16
  then
• 19:16
  we'll
• 19:16
  just
• 19:16
  automatically
• 19:17
  accept
• 19:17
  that
• 19:18
  and
• 19:18
  create
• 19:18
  those
• 19:19
  tasks.
• 19:19
  Otherwise
• 19:20
  we
• 19:20
  want
• 19:20
  to
• 19:20
  be
• 19:21
  involved
• 19:21
  in
• 19:21
  the
• 19:21
  loop.
• 19:22
  But
• 19:22
  that's
• 19:23
  all
• 19:23
  coming
• 19:24
  soon.
• 19:25
  And
• 19:25
  John,
• 19:26
  are
• 19:26
  you
• 19:26
  seeing
• 19:26
  that
• 19:26
  firsthand?
• 19:27
  Like,
• 19:27
  like,
• 19:27
  should
• 19:28
  I
• 19:28
  interpolate
• 19:28
  that
• 19:28
  you
• 19:29
  have.
• 19:29
  You
• 19:29
  and
• 19:29
  Domatic
• 19:30
  have
• 19:31
  POCs
• 19:31
  on
• 19:32
  the
• 19:32
  ground
• 19:32
  with
• 19:33
  different
• 19:33
  resellers
• 19:33
  who
• 19:34
  are
• 19:34
  trying
• 19:34
  to
• 19:34
  experiment
• 19:34
  with
• 19:35
  this
• 19:35
  in
• 19:35
  the
• 19:35
  warehouse?
• 19:35
  Yes,
• 19:36
  I
• 19:36
  should.
• 19:36
  Okay,
• 19:37
  yeah,
• 19:37
  yeah,
• 19:37
  we
• 19:37
  do.
• 19:37
  We
• 19:38
  have
• 19:38
  customers
• 19:39
  now
• 19:39
  that
• 19:39
  are
• 19:39
  piloting
• 19:39
  like,
• 19:40
  the,
• 19:40
  our
• 19:40
  forecasting
• 19:41
  algorithms
• 19:42
  and
• 19:42
  forecasting
• 19:43
  models.
• 19:44
  Okay.
• 19:44
  All
• 19:45
  right.
• 19:45
  Wow.
• 19:45
  All
• 19:45
  right.
• 19:45
  Wow.
• 19:46
  This
• 19:46
  is
• 19:46
  really
• 19:46
  fascinating
• 19:47
  and
• 19:48
  I
• 19:48
  love
• 19:48
  how
• 19:49
  John
• 19:49
  breaks
• 19:49
  it
• 19:49
  down.
• 19:50
  It's
• 19:50
  really
• 19:50
  simple
• 19:51
  and
• 19:51
  really
• 19:51
  easy
• 19:51
  to
• 19:51
  follow
• 19:52
  too,
• 19:52
  and
• 19:52
  gives
• 19:52
  us
• 19:52
  a
• 19:53
  good
• 19:53
  idea
• 19:53
  of
• 19:53
  where
• 19:54
  things
• 19:54
  are
• 19:54
  in
• 19:54
  the
• 19:54
  timeline.
• 19:55
  Because
• 19:55
  what's
• 19:55
  interesting
• 19:55
  to
• 19:55
  me
• 19:55
  is
• 19:56
  based
• 19:56
  on
• 19:56
  what
• 19:56
  John
• 19:57
  said,
• 19:57
  it
• 19:57
  sounds
• 19:57
  like
• 19:58
  the
• 19:58
  last
• 19:59
  part
• 19:59
  of
• 19:59
  this,
• 19:59
  the
• 20:00
  LLMs
• 20:00
  might
• 20:00
  actually
• 20:01
  take
• 20:01
  off
• 20:01
  faster
• 20:02
  than
• 20:02
  everything
• 20:02
  else,
• 20:02
  which
• 20:03
  has
• 20:03
  been
• 20:04
  in
• 20:04
  place
• 20:04
  for
• 20:04
  a
• 20:05
  while,
• 20:05
  which
• 20:05
  also
• 20:06
  makes
• 20:06
  sense
• 20:06
  because
• 20:06
  it's,
• 20:06
  you
• 20:07
  know,
• 20:07
  pretty
• 20:07
  much.
• 20:07
  I
• 20:08
  mean,
• 20:08
  they're
• 20:08
  all
• 20:08
  software,
• 20:09
  but
• 20:09
  it's
• 20:09
  very
• 20:09
  easily
• 20:09
  attainable
• 20:10
  software
• 20:10
  too.
• 20:11
  So.
• 20:11
  So,
• 20:11
  John,
• 20:11
  with
• 20:12
  that
• 20:12
  said,
• 20:12
  what
• 20:12
  are
• 20:12
  the
• 20:12
  main,
• 20:13
  what
• 20:13
  are
• 20:14
  your
• 20:14
  main
• 20:14
  takeaways
• 20:14
  here
• 20:15
  for
• 20:15
  the
• 20:15
  audience?
• 20:15
  Like,
• 20:16
  you
• 20:17
  know,
• 20:17
  and,
• 20:17
  and,
• 20:17
  and,
• 20:18
  and
• 20:18
  going
• 20:18
  back
• 20:18
  to
• 20:19
  that
• 20:19
  last
• 20:19
  point,
• 20:19
  in
• 20:20
  what
• 20:20
  order
• 20:20
  do
• 20:20
  you
• 20:21
  think
• 20:21
  all
• 20:21
  of
• 20:21
  this
• 20:22
  will
• 20:22
  happen?
• 20:24
  Okay,
• 20:24
  so
• 20:24
  I
• 20:24
  guess
• 20:24
  maybe
• 20:25
  the
• 20:25
  first
• 20:25
  takeaway
• 20:25
  is
• 20:26
  AI
• 20:26
  is
• 20:26
  not
• 20:26
  just
• 20:26
  a
• 20:27
  single
• 20:27
  technology.
• 20:28
  You
• 20:28
  know,
• 20:28
  it's
• 20:28
  a
• 20:28
  toolkit.
• 20:29
  So
• 20:30
  we
• 20:30
  talked
• 20:30
  about
• 20:31
  the
• 20:31
  optimization
• 20:32
  is
• 20:32
  the
• 20:33
  brains
• 20:33
  of
• 20:33
  your
• 20:33
  operation.
• 20:34
  The
• 20:34
  vision
• 20:34
  and
• 20:34
  perception
• 20:35
  are
• 20:35
  the
• 20:35
  eyes,
• 20:36
  and
• 20:37
  LLMs
• 20:37
  are
• 20:38
  the
• 20:38
  way
• 20:39
  you
• 20:39
  can
• 20:39
  interact
• 20:40
  with
• 20:40
  your
• 20:40
  software.
• 20:41
  So
• 20:42
  that's
• 20:42
  probably
• 20:42
  the
• 20:42
  first
• 20:43
  one.
• 20:43
  And
• 20:43
  the
• 20:43
  second
• 20:43
  one
• 20:43
  is
• 20:43
  this
• 20:44
  is,
• 20:44
  as
• 20:44
  we
• 20:44
  talked
• 20:45
  about,
• 20:45
  this
• 20:45
  is
• 20:45
  not
• 20:46
  overnight
• 20:47
  thing.
• 20:47
  This
• 20:47
  is
• 20:48
  a
• 20:48
  journey
• 20:48
  that's
• 20:48
  going
• 20:49
  to
• 20:49
  follow
• 20:49
  a
• 20:49
  logical
• 20:50
  order
• 20:51
  based
• 20:51
  on
• 20:52
  ROI
• 20:52
  and
• 20:52
  maturity.
• 20:53
  And
• 20:53
  it
• 20:54
  will
• 20:54
  take
• 20:54
  time.
• 20:55
  Some
• 20:55
  areas
• 20:55
  will
• 20:55
  happen
• 20:56
  faster
• 20:56
  than
• 20:56
  others.
• 20:58
  But
• 20:59
  I
• 20:59
  think
• 20:59
  starting
• 21:00
  with
• 21:00
  optimization,
• 21:01
  AI,
• 21:01
  I
• 21:01
  mean,
• 21:01
  there
• 21:02
  are
• 21:02
  proven
• 21:02
  models
• 21:03
  that
• 21:03
  work
• 21:03
  for
• 21:03
  that.
• 21:05
  It's
• 21:06
  pretty
• 21:06
  measurable,
• 21:06
  pretty
• 21:07
  easy
• 21:07
  to
• 21:07
  measure
• 21:07
  that
• 21:08
  you're
• 21:08
  getting
• 21:08
  benefits.
• 21:10
  And
• 21:10
  if
• 21:10
  you're
• 21:10
  keeping
• 21:10
  the
• 21:10
  human
• 21:11
  in
• 21:11
  the
• 21:11
  loop,
• 21:11
  that
• 21:12
  gives
• 21:12
  you
• 21:12
  the
• 21:12
  confidence
• 21:13
  that
• 21:13
  if
• 21:13
  we
• 21:13
  don't
• 21:14
  like
• 21:14
  the
• 21:14
  output,
• 21:15
  we
• 21:15
  don't
• 21:15
  have
• 21:16
  to
• 21:16
  use
• 21:16
  it.
• 21:17
  And
• 21:18
  then
• 21:18
  I
• 21:18
  think
• 21:18
  the
• 21:18
  computer
• 21:19
  vision
• 21:19
  is
• 21:19
  kind
• 21:19
  of
• 21:20
  scaling
• 21:20
  now
• 21:21
  more
• 21:21
  in
• 21:21
  your
• 21:22
  really
• 21:22
  automated
• 21:23
  facilities
• 21:24
  that
• 21:24
  less
• 21:24
  so
• 21:25
  in
• 21:25
  manual
• 21:26
  warehouses,
• 21:26
  but
• 21:26
  really
• 21:26
  automated
• 21:27
  facilities.
• 21:27
  And
• 21:27
  I
• 21:28
  think
• 21:28
  you'll
• 21:28
  see
• 21:28
  that
• 21:29
  continue
• 21:29
  to
• 21:29
  scale
• 21:29
  for
• 21:30
  specific
• 21:31
  kind
• 21:31
  of
• 21:31
  process
• 21:32
  control
• 21:32
  to
• 21:33
  make
• 21:34
  sure
• 21:34
  that
• 21:34
  we're
• 21:34
  operating
• 21:35
  as
• 21:35
  efficiently
• 21:35
  as
• 21:35
  possible
• 21:36
  and,
• 21:36
  you
• 21:36
  know,
• 21:36
  and
• 21:37
  safety
• 21:37
  and
• 21:37
  preventing
• 21:38
  downstream
• 21:38
  issues.
• 21:38
  I
• 21:39
  think
• 21:39
  that
• 21:39
  will
• 21:40
  Continue
• 21:40
  to
• 21:41
  expand
• 21:41
  to
• 21:42
  more
• 21:42
  use
• 21:42
  cases
• 21:42
  in
• 21:43
  the
• 21:43
  warehouse.
• 21:44
  And
• 21:45
  then
• 21:45
  I
• 21:45
  think,
• 21:45
  you
• 21:45
  know,
• 21:45
  next
• 21:45
  year
• 21:45
  you'll
• 21:45
  probably
• 21:46
  see
• 21:46
  a
• 21:46
  lot
• 21:46
  of
• 21:46
  this
• 21:46
  generative
• 21:47
  AI,
• 21:47
  like
• 21:47
  just
• 21:47
  unlocking
• 21:48
  the
• 21:48
  value
• 21:48
  of
• 21:49
  the
• 21:49
  data
• 21:50
  through
• 21:50
  AI
• 21:51
  that's
• 21:51
  in
• 21:51
  your
• 21:52
  systems
• 21:52
  today.
• 21:52
  It's
• 21:53
  already
• 21:53
  there,
• 21:53
  so
• 21:53
  you
• 21:54
  don't
• 21:54
  have
• 21:54
  to,
• 21:55
  you
• 21:55
  know,
• 21:55
  that
• 21:55
  is
• 21:56
  not
• 21:56
  a
• 21:56
  huge
• 21:56
  initiative.
• 21:57
  That's
• 21:57
  a
• 21:57
  software
• 21:57
  upgrade,
• 21:58
  right?
• 21:58
  To
• 21:58
  get
• 21:59
  that
• 21:59
  type
• 21:59
  of
• 22:00
  functionality
• 22:00
  out
• 22:00
  there.
• 22:01
  It's
• 22:01
  not
• 22:01
  like
• 22:01
  we
• 22:01
  have
• 22:01
  to
• 22:02
  go,
• 22:02
  you
• 22:02
  know,
• 22:02
  install
• 22:02
  a
• 22:02
  bunch
• 22:02
  of
• 22:03
  new
• 22:03
  equipment
• 22:05
  and
• 22:05
  then
• 22:05
  I
• 22:05
  think,
• 22:05
  you
• 22:05
  know,
• 22:06
  eventually
• 22:06
  all
• 22:07
  these
• 22:07
  pieces
• 22:07
  will
• 22:07
  come.
• 22:07
  I
• 22:08
  mean
• 22:08
  they're
• 22:08
  now
• 22:08
  pretty
• 22:08
  distinct
• 22:09
  separate
• 22:09
  categories,
• 22:10
  but
• 22:10
  they'll
• 22:10
  all
• 22:11
  converge
• 22:12
  into
• 22:12
  a
• 22:12
  more
• 22:13
  single
• 22:13
  intelligent
• 22:14
  system
• 22:14
  that
• 22:14
  can
• 22:15
  like,
• 22:15
  you
• 22:15
  know,
• 22:15
  whatever,
• 22:15
  prevent
• 22:16
  issues
• 22:16
  and
• 22:17
  optimize
• 22:17
  efficiency
• 22:18
  and
• 22:18
  orchestrate
• 22:19
  the
• 22:19
  agents
• 22:20
  orchestrating
• 22:20
  all
• 22:21
  the
• 22:21
  processes
• 22:21
  in
• 22:21
  the
• 22:21
  warehouse.
• 22:22
  So
• 22:23
  there,
• 22:23
  I
• 22:24
  think
• 22:24
  there
• 22:24
  will
• 22:24
  be
• 22:24
  a
• 22:24
  logical
• 22:24
  path
• 22:25
  for
• 22:25
  those
• 22:25
  to
• 22:25
  converge
• 22:26
  at
• 22:26
  some
• 22:26
  point.
• 22:27
  Is
• 22:27
  that
• 22:27
  the,
• 22:28
  AKA
• 22:28
  the
• 22:28
  brain,
• 22:29
  John?
• 22:29
  Is
• 22:29
  that
• 22:29
  what
• 22:30
  that
• 22:30
  is?
• 22:30
  Is
• 22:30
  that
• 22:30
  what
• 22:31
  that
• 22:31
  refers
• 22:31
  to,
• 22:31
  like
• 22:31
  the,
• 22:32
  the
• 22:33
  proverbial
• 22:33
  AI
• 22:34
  brain?
• 22:34
  Yeah,
• 22:35
  I
• 22:35
  think
• 22:35
  so.
• 22:35
  I
• 22:35
  mean
• 22:36
  it's
• 22:36
  just
• 22:36
  kind
• 22:36
  of
• 22:36
  the,
• 22:36
  that
• 22:37
  concept
• 22:37
  of
• 22:37
  a
• 22:37
  lights
• 22:38
  out
• 22:38
  warehouse
• 22:39
  where
• 22:39
  it's
• 22:39
  like,
• 22:39
  yeah,
• 22:40
  you
• 22:40
  can.
• 22:42
  Wow,
• 22:43
  John,
• 22:44
  this
• 22:44
  has
• 22:44
  been
• 22:44
  so
• 22:45
  insightful.
• 22:47
  I
• 22:47
  especially
• 22:48
  love
• 22:48
  what
• 22:49
  I
• 22:49
  think
• 22:49
  this
• 22:49
  unlocked
• 22:50
  for
• 22:50
  some
• 22:50
  of
• 22:51
  the
• 22:51
  people
• 22:51
  we
• 22:51
  were
• 22:51
  talking
• 22:52
  about
• 22:52
  earlier
• 22:52
  here
• 22:53
  who
• 22:53
  are
• 22:53
  earlier
• 22:54
  in
• 22:54
  their
• 22:54
  stage
• 22:55
  of
• 22:55
  automation
• 22:56
  and
• 22:56
  especially
• 22:56
  the
• 22:57
  AI
• 22:57
  components
• 22:58
  of
• 22:59
  automation
• 23:00
  in
• 23:00
  their
• 23:01
  warehousing
• 23:01
  facilities.
• 23:03
  I'm
• 23:03
  sure
• 23:03
  there's
• 23:04
  people
• 23:04
  that
• 23:04
  are
• 23:04
  going
• 23:04
  to
• 23:05
  want
• 23:05
  to
• 23:05
  continue
• 23:06
  this
• 23:06
  conversation,
• 23:07
  dive
• 23:07
  deeper
• 23:08
  into
• 23:08
  their
• 23:08
  own
• 23:09
  use
• 23:09
  cases
• 23:09
  with
• 23:09
  you.
• 23:10
  What's
• 23:11
  the
• 23:11
  best
• 23:11
  way
• 23:11
  for
• 23:11
  them
• 23:12
  to
• 23:12
  do
• 23:12
  that,
• 23:12
  John?
• 23:13
  So
• 23:14
  I'm
• 23:14
  happy
• 23:14
  people
• 23:14
  can
• 23:14
  reach
• 23:15
  out
• 23:15
  to
• 23:15
  me
• 23:15
  directly.
• 23:16
  I'm
• 23:16
  John
• 23:17
  Mabematic.com
• 23:20
  or
• 23:20
  find
• 23:20
  me
• 23:21
  on
• 23:21
  LinkedIn.
• 23:22
  Also
• 23:22
  on
• 23:22
  the
• 23:22
  Domatic
• 23:23
  website
• 23:23
  there
• 23:23
  is,
• 23:24
  there
• 23:24
  is
• 23:25
  a
• 23:26
  site,
• 23:26
  a
• 23:26
  place
• 23:26
  there
• 23:26
  to
• 23:28
  connect
• 23:28
  with
• 23:28
  sales.
• 23:29
  Excellent.
• 23:31
  Right,
• 23:31
  well
• 23:32
  that
• 23:32
  wraps
• 23:32
  us
• 23:32
  up.
• 23:32
  Thanks
• 23:33
  to
• 23:33
  John
• 23:33
  Mabe
• 23:33
  of
• 23:33
  Dematic.
• 23:34
  Thank
• 23:34
  you
• 23:35
  so
• 23:35
  much
• 23:35
  John.
• 23:35
  It
• 23:35
  was
• 23:35
  great.
• 23:35
  Thanks
• 23:36
  for
• 23:36
  educating
• 23:36
  us
• 23:36
  today
• 23:37
  and
• 23:37
  thanks,
• 23:37
  thanks
• 23:37
  to
• 23:37
  everyone
• 23:38
  out
• 23:38
  there
• 23:38
  for
• 23:38
  listening
• 23:39
  in
• 23:39
  and
• 23:39
  on
• 23:39
  behalf
• 23:40
  of
• 23:40
  all
• 23:40
  of
• 23:40
  us
• 23:40
  at
• 23:40
  omnitalk,
• 23:41
  as
• 23:41
  always,
• 23:41
  be
• 23:41
  careful
• 23:42
  out
• 23:42
  there.