Latest / Omni Talk Retail / 📦 Supply Chain AI: What’s Real vs. Hype? | 5 Insightful Minutes With Eugene Amigud Of Infios

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📦 Supply Chain AI: What’s Real vs. Hype? | 5 Insightful Minutes With Eugene Amigud Of Infios · Omni Talk Retail

• 0:00
  Foreign
• 0:09
  US
• 0:10
  now
• 0:10
  for
• 0:10
  five
• 0:10
  insightful
• 0:11
  minutes
• 0:11
  is
• 0:11
  Eugene
• 0:12
  Amagood,
• 0:12
  the
• 0:12
  Chief
• 0:13
  Innovation
• 0:13
  Officer
• 0:14
  at
• 0:14
  infios.
• 0:15
  Eugene
• 0:15
  is
• 0:15
  here
• 0:15
  to
• 0:15
  help
• 0:15
  us
• 0:16
  separate
• 0:16
  fact
• 0:16
  from
• 0:17
  fiction
• 0:17
  when
• 0:17
  it
• 0:17
  comes
• 0:18
  to
• 0:18
  harnessing
• 0:18
  AI
• 0:19
  for
• 0:19
  your
• 0:19
  supply
• 0:20
  chain.
• 0:20
  Okay
• 0:21
  Eugene,
• 0:21
  let's
• 0:21
  start
• 0:22
  with
• 0:22
  this.
• 0:23
  AI
• 0:23
  is
• 0:24
  freaking
• 0:24
  everywhere.
• 0:25
  But
• 0:25
  as
• 0:25
  the
• 0:25
  Chief
• 0:26
  Innovation
• 0:26
  officer,
• 0:27
  how
• 0:27
  do
• 0:27
  you
• 0:27
  think
• 0:28
  about
• 0:28
  deploying
• 0:28
  across
• 0:29
  the
• 0:29
  supply
• 0:29
  chain?
• 0:29
  I
• 0:29
  mean
• 0:30
  like
• 0:30
  I
• 0:30
  get
• 0:30
  bombarded
• 0:31
  every
• 0:31
  day
• 0:32
  with
• 0:32
  everything
• 0:32
  from
• 0:32
  predictive
• 0:33
  algorithms
• 0:33
  to
• 0:34
  gentic
• 0:34
  AI.
• 0:35
  How
• 0:35
  should
• 0:36
  our
• 0:36
  audience
• 0:36
  think
• 0:37
  about
• 0:38
  separating
• 0:38
  true
• 0:39
  innovation
• 0:39
  from
• 0:39
  hype?
• 0:40
  In
• 0:40
  this
• 0:40
  era
• 0:41
  we
• 0:41
  think
• 0:41
  about
• 0:42
  purposeful
• 0:43
  innovation
• 0:43
  to
• 0:43
  start
• 0:43
  with.
• 0:44
  Right.
• 0:44
  Again,
• 0:44
  there
• 0:45
  is
• 0:45
  a
• 0:45
  lot
• 0:45
  of
• 0:45
  AI
• 0:45
  hype
• 0:46
  and
• 0:47
  the
• 0:47
  way
• 0:47
  kind
• 0:48
  of
• 0:48
  to
• 0:48
  break
• 0:48
  through
• 0:49
  that
• 0:49
  is
• 0:49
  I
• 0:50
  think
• 0:50
  of
• 0:50
  different
• 0:51
  use
• 0:51
  cases
• 0:52
  and
• 0:52
  the
• 0:52
  right
• 0:53
  technology,
• 0:54
  right
• 0:54
  approach
• 0:54
  for
• 0:54
  these
• 0:55
  use
• 0:55
  cases.
• 0:56
  When
• 0:56
  we
• 0:56
  think
• 0:56
  about
• 0:56
  AI,
• 0:57
  there's
• 0:57
  machine
• 0:58
  learning
• 0:58
  and
• 0:58
  predictive
• 0:59
  analytics,
• 0:59
  there
• 1:00
  are
• 1:00
  optimizers
• 1:01
  as
• 1:01
  well
• 1:02
  as
• 1:02
  the
• 1:02
  latest
• 1:02
  and
• 1:02
  greatest
• 1:03
  gen
• 1:03
  AI.
• 1:03
  And
• 1:04
  depending
• 1:04
  on
• 1:04
  the
• 1:04
  use
• 1:05
  case,
• 1:05
  there's
• 1:05
  the
• 1:05
  right
• 1:05
  kind
• 1:06
  of
• 1:06
  tool
• 1:06
  tool
• 1:06
  to
• 1:07
  address
• 1:07
  it.
• 1:08
  So
• 1:09
  first
• 1:09
  of
• 1:09
  all
• 1:09
  is
• 1:10
  partner
• 1:11
  with
• 1:11
  customers
• 1:12
  to
• 1:12
  co
• 1:12
  develop
• 1:13
  on
• 1:13
  specific
• 1:14
  use
• 1:14
  cases
• 1:14
  on
• 1:14
  specific
• 1:15
  needs
• 1:15
  instead
• 1:16
  of
• 1:16
  kind
• 1:16
  of
• 1:16
  thinking
• 1:17
  it
• 1:17
  within
• 1:17
  the
• 1:17
  black
• 1:18
  box.
• 1:19
  And
• 1:19
  number
• 1:19
  two,
• 1:22
  many
• 1:22
  of
• 1:22
  us
• 1:22
  already
• 1:23
  have
• 1:23
  existing
• 1:23
  systems
• 1:24
  deployed
• 1:25
  and
• 1:26
  the
• 1:26
  innovation
• 1:27
  has
• 1:27
  to
• 1:27
  be
• 1:27
  augmentative.
• 1:28
  Meaning
• 1:29
  that
• 1:29
  I
• 1:30
  may
• 1:30
  create
• 1:30
  a
• 1:31
  new
• 1:31
  module,
• 1:31
  new
• 1:32
  component
• 1:32
  that
• 1:33
  solves
• 1:33
  my
• 1:33
  specific
• 1:34
  need,
• 1:34
  drop
• 1:35
  it
• 1:35
  in,
• 1:35
  realize
• 1:36
  the
• 1:36
  benefit
• 1:36
  in
• 1:36
  maybe
• 1:37
  a
• 1:37
  couple
• 1:38
  weeks
• 1:38
  to
• 1:38
  a
• 1:38
  couple
• 1:39
  months
• 1:39
  and
• 1:39
  move
• 1:39
  on.
• 1:40
  I
• 1:40
  have
• 1:40
  no
• 1:41
  more
• 1:41
  time
• 1:41
  to
• 1:41
  deploy
• 1:42
  these
• 1:42
  capabilities
• 1:42
  over
• 1:43
  long
• 1:44
  period
• 1:44
  of
• 1:44
  time.
• 1:45
  So
• 1:45
  again,
• 1:46
  make
• 1:46
  it
• 1:46
  with
• 1:46
  purpose,
• 1:47
  use
• 1:47
  case
• 1:48
  based
• 1:48
  as
• 1:49
  well
• 1:49
  as
• 1:49
  making
• 1:49
  it
• 1:49
  augmentative.
• 1:50
  Eugene,
• 1:51
  the
• 1:51
  retail
• 1:52
  industry
• 1:52
  is
• 1:52
  in
• 1:52
  a
• 1:53
  constant
• 1:53
  state
• 1:53
  of
• 1:53
  disruption
• 1:54
  right
• 1:54
  now.
• 1:54
  And
• 1:55
  it
• 1:55
  seems
• 1:56
  like
• 1:56
  staying
• 1:56
  ahead
• 1:57
  is
• 1:57
  more
• 1:57
  than
• 1:58
  just
• 1:58
  reacting
• 1:59
  to
• 1:59
  market
• 2:00
  uncertainty.
• 2:00
  It
• 2:00
  means
• 2:01
  designing
• 2:02
  your
• 2:02
  business
• 2:02
  operation
• 2:03
  for
• 2:03
  adaptability.
• 2:05
  How
• 2:05
  would
• 2:05
  you
• 2:06
  say
• 2:06
  that
• 2:06
  Infios
• 2:07
  thinks
• 2:07
  about
• 2:07
  innovation
• 2:08
  not
• 2:08
  only
• 2:08
  to
• 2:09
  navigate
• 2:09
  this
• 2:10
  change,
• 2:10
  but
• 2:10
  really
• 2:10
  to
• 2:11
  predict
• 2:11
  what's
• 2:12
  ahead.
• 2:12
  With
• 2:12
  so
• 2:13
  much
• 2:13
  supply
• 2:13
  chain
• 2:14
  uncertainty
• 2:14
  and
• 2:16
  constant
• 2:16
  changes,
• 2:16
  right.
• 2:17
  The
• 2:18
  deterministic
• 2:18
  rules
• 2:19
  and
• 2:19
  ability
• 2:19
  to
• 2:20
  configure
• 2:20
  the
• 2:20
  systems
• 2:21
  becomes
• 2:22
  almost
• 2:22
  impossible.
• 2:23
  Right.
• 2:23
  Again,
• 2:23
  during
• 2:24
  COVID
• 2:25
  there
• 2:25
  was
• 2:25
  a
• 2:25
  lot
• 2:25
  of
• 2:26
  disruption,
• 2:26
  but
• 2:26
  over
• 2:27
  time
• 2:27
  people
• 2:27
  thought,
• 2:27
  well,
• 2:28
  maybe
• 2:28
  it
• 2:28
  will
• 2:28
  stabilize.
• 2:29
  And
• 2:29
  now
• 2:30
  we
• 2:30
  all
• 2:30
  understand,
• 2:30
  right,
• 2:31
  that
• 2:31
  this
• 2:31
  uncertainty
• 2:32
  does
• 2:32
  not
• 2:33
  go
• 2:33
  away.
• 2:33
  If
• 2:33
  anything,
• 2:34
  it
• 2:34
  becomes
• 2:34
  more
• 2:34
  and
• 2:35
  more
• 2:35
  complex.
• 2:35
  Right.
• 2:36
  And
• 2:36
  so
• 2:36
  how
• 2:37
  do
• 2:37
  you
• 2:37
  react
• 2:38
  to
• 2:38
  this
• 2:38
  uncertainty?
• 2:39
  So
• 2:39
  historically
• 2:39
  you
• 2:39
  would
• 2:40
  kind
• 2:40
  of
• 2:40
  set
• 2:40
  up
• 2:40
  all
• 2:41
  these
• 2:41
  different
• 2:41
  rules
• 2:42
  configurations
• 2:42
  in
• 2:42
  your
• 2:43
  systems
• 2:44
  or
• 2:44
  deploy
• 2:44
  the
• 2:44
  entire
• 2:45
  system
• 2:45
  to
• 2:45
  address
• 2:45
  it.
• 2:46
  But
• 2:46
  now
• 2:47
  it
• 2:47
  has
• 2:47
  to
• 2:48
  be
• 2:48
  a
• 2:48
  lot
• 2:48
  more
• 2:49
  dynamic.
• 2:49
  It
• 2:50
  has
• 2:50
  to
• 2:50
  be
• 2:50
  a
• 2:50
  lot
• 2:50
  more
• 2:51
  aligned
• 2:51
  with
• 2:51
  the
• 2:51
  business
• 2:52
  needs
• 2:53
  versus
• 2:54
  the
• 2:54
  systems.
• 2:55
  Right?
• 2:55
  So
• 2:55
  again,
• 2:56
  if
• 2:56
  I
• 2:56
  have
• 2:56
  a
• 2:56
  labor
• 2:57
  strike
• 2:57
  in
• 2:58
  my
• 2:58
  port,
• 2:58
  how
• 2:59
  Do
• 2:59
  I
• 2:59
  comprehensively
• 3:00
  address
• 3:00
  it?
• 3:00
  If
• 3:00
  I
• 3:00
  have
• 3:01
  a
• 3:01
  strategy
• 3:01
  to
• 3:01
  get
• 3:01
  close
• 3:02
  to
• 3:02
  my
• 3:02
  customers,
• 3:02
  how
• 3:03
  do
• 3:03
  I
• 3:03
  comprehensively
• 3:04
  address
• 3:04
  it
• 3:04
  and
• 3:04
  how
• 3:04
  do
• 3:04
  I
• 3:05
  react
• 3:05
  to
• 3:05
  these
• 3:05
  uncertainties?
• 3:06
  And
• 3:06
  that's
• 3:07
  where
• 3:07
  AI
• 3:07
  and
• 3:07
  ML
• 3:08
  come
• 3:08
  in,
• 3:08
  where
• 3:09
  it
• 3:09
  can
• 3:09
  look
• 3:09
  at
• 3:09
  historical
• 3:10
  data,
• 3:11
  right.
• 3:11
  And
• 3:12
  being
• 3:12
  able
• 3:12
  to
• 3:13
  react
• 3:13
  based
• 3:14
  on
• 3:14
  that
• 3:14
  historical
• 3:14
  data
• 3:15
  and
• 3:15
  make
• 3:15
  some
• 3:15
  predictions
• 3:16
  on
• 3:17
  it.
• 3:17
  However,
• 3:18
  historically
• 3:20
  the
• 3:20
  planning
• 3:21
  system
• 3:21
  used
• 3:21
  to
• 3:21
  look
• 3:21
  at
• 3:22
  years
• 3:22
  and
• 3:22
  years
• 3:22
  worth
• 3:23
  of
• 3:23
  data.
• 3:23
  But
• 3:24
  what
• 3:24
  we're
• 3:24
  seeing
• 3:24
  now
• 3:25
  from
• 3:25
  planning
• 3:26
  perspective,
• 3:26
  right,
• 3:27
  look
• 3:27
  at
• 3:27
  tariffs
• 3:27
  that
• 3:28
  change
• 3:28
  pretty
• 3:28
  much
• 3:29
  daily,
• 3:29
  or
• 3:30
  the
• 3:30
  labor
• 3:30
  strikes,
• 3:31
  etc.
• 3:31
  Right.
• 3:32
  You
• 3:32
  have
• 3:32
  to
• 3:32
  react
• 3:32
  so
• 3:33
  much
• 3:33
  faster.
• 3:33
  So
• 3:34
  now
• 3:35
  that
• 3:35
  the
• 3:35
  scope
• 3:36
  becomes
• 3:37
  so
• 3:37
  much
• 3:37
  more
• 3:37
  important
• 3:37
  to
• 3:38
  kind
• 3:38
  of
• 3:38
  look
• 3:38
  at
• 3:38
  the
• 3:38
  near
• 3:39
  real
• 3:39
  time
• 3:39
  data
• 3:40
  and
• 3:40
  to
• 3:40
  be
• 3:40
  able
• 3:40
  to
• 3:40
  react
• 3:41
  accordingly.
• 3:42
  You
• 3:42
  know,
• 3:42
  the
• 3:42
  one
• 3:42
  thing
• 3:42
  you
• 3:43
  guys
• 3:43
  always
• 3:43
  talked
• 3:43
  about
• 3:44
  to
• 3:44
  me
• 3:44
  was
• 3:44
  like
• 3:45
  this
• 3:45
  idea
• 3:45
  of
• 3:45
  a
• 3:46
  quote
• 3:46
  unquote
• 3:47
  brain
• 3:47
  or
• 3:47
  a
• 3:47
  decision
• 3:48
  engine.
• 3:50
  Given
• 3:50
  what
• 3:50
  you're
• 3:50
  describing,
• 3:51
  does
• 3:51
  that,
• 3:52
  does
• 3:52
  that
• 3:52
  concept
• 3:53
  still.
• 3:53
  Is
• 3:53
  that
• 3:53
  concept
• 3:54
  still
• 3:54
  in
• 3:54
  play
• 3:54
  here
• 3:55
  or
• 3:55
  how
• 3:55
  should
• 3:55
  we
• 3:56
  think
• 3:56
  about
• 3:56
  that?
• 3:58
  Yeah,
• 3:58
  realigning
• 3:59
  the
• 4:00
  system
• 4:00
  capabilities
• 4:01
  to
• 4:02
  be
• 4:02
  closer
• 4:02
  to
• 4:03
  the
• 4:03
  kind
• 4:03
  of
• 4:03
  functional
• 4:04
  solutions
• 4:04
  that
• 4:05
  business
• 4:05
  needs
• 4:05
  is
• 4:05
  absolutely
• 4:06
  key.
• 4:06
  And
• 4:06
  the
• 4:07
  decisioning
• 4:07
  engine
• 4:07
  sits
• 4:08
  at
• 4:08
  the
• 4:08
  core
• 4:08
  of
• 4:08
  it.
• 4:09
  Historically,
• 4:10
  these
• 4:10
  decisioning
• 4:11
  engines
• 4:11
  used
• 4:11
  to
• 4:11
  be
• 4:11
  within
• 4:12
  transportation
• 4:13
  or
• 4:13
  within
• 4:13
  order.
• 4:14
  Right.
• 4:14
  What's
• 4:14
  the
• 4:15
  most
• 4:15
  effective
• 4:15
  way
• 4:15
  to
• 4:16
  fulfill
• 4:16
  an
• 4:16
  order?
• 4:16
  What's
• 4:17
  the
• 4:17
  most
• 4:17
  cost
• 4:17
  effective
• 4:18
  way
• 4:18
  to
• 4:19
  ship
• 4:19
  a
• 4:19
  load
• 4:19
  across
• 4:20
  the
• 4:20
  country?
• 4:22
  Now
• 4:23
  all
• 4:23
  of
• 4:24
  those
• 4:24
  need
• 4:24
  to
• 4:24
  be
• 4:24
  tied
• 4:25
  together
• 4:25
  to
• 4:25
  be
• 4:25
  able
• 4:26
  to
• 4:26
  react
• 4:26
  to
• 4:26
  those
• 4:26
  disruptions.
• 4:27
  And
• 4:27
  the
• 4:28
  decisioning
• 4:28
  engine
• 4:29
  sits
• 4:29
  kind
• 4:30
  of
• 4:30
  outside
• 4:31
  and,
• 4:31
  and
• 4:32
  makes
• 4:32
  all
• 4:32
  this
• 4:33
  kind
• 4:33
  of
• 4:33
  both
• 4:34
  deterministic
• 4:34
  as
• 4:35
  well
• 4:35
  as
• 4:35
  AI
• 4:36
  based
• 4:36
  decisions.
• 4:37
  Looking
• 4:38
  at
• 4:38
  all
• 4:38
  this
• 4:38
  holistically,
• 4:39
  which
• 4:39
  is
• 4:40
  not
• 4:40
  really
• 4:40
  possible
• 4:41
  in
• 4:41
  the
• 4:41
  old
• 4:41
  world
• 4:42
  when
• 4:42
  those
• 4:42
  decision
• 4:42
  engines
• 4:43
  used
• 4:43
  to
• 4:43
  be
• 4:43
  isolated.
• 4:45
  Got
• 4:45
  it.
• 4:46
  So.
• 4:46
  So
• 4:46
  if
• 4:46
  I
• 4:47
  say
• 4:47
  that
• 4:47
  back
• 4:47
  to
• 4:47
  you,
• 4:47
  then
• 4:47
  you're
• 4:48
  saying
• 4:48
  that
• 4:48
  there's
• 4:49
  basically
• 4:49
  there's
• 4:50
  like
• 4:50
  going
• 4:50
  to.
• 4:50
  The
• 4:51
  decision
• 4:51
  engine
• 4:51
  still
• 4:51
  matters,
• 4:52
  but
• 4:52
  there's
• 4:52
  almost
• 4:52
  a
• 4:53
  module
• 4:53
  in
• 4:53
  and
• 4:53
  of
• 4:53
  itself
• 4:54
  that
• 4:54
  is
• 4:54
  going
• 4:54
  to
• 4:54
  command
• 4:55
  and
• 4:55
  control
• 4:55
  everything
• 4:56
  else
• 4:56
  that's
• 4:56
  going
• 4:56
  on.
• 4:57
  Is
• 4:57
  that
• 4:57
  right?
• 4:58
  Exactly.
• 4:58
  So
• 4:59
  this
• 4:59
  module
• 5:00
  is
• 5:00
  the
• 5:00
  key,
• 5:00
  Chris,
• 5:01
  as
• 5:01
  you
• 5:01
  mentioned,
• 5:01
  because
• 5:02
  if
• 5:02
  it's
• 5:02
  an
• 5:03
  independent
• 5:03
  module,
• 5:03
  you
• 5:03
  can
• 5:04
  deploy
• 5:04
  it
• 5:04
  fast.
• 5:05
  You
• 5:05
  can
• 5:05
  realize
• 5:05
  the
• 5:06
  benefits,
• 5:06
  the
• 5:07
  intelligence
• 5:07
  of
• 5:08
  each
• 5:08
  individual
• 5:08
  system
• 5:09
  you
• 5:09
  rely
• 5:09
  on
• 5:09
  less.
• 5:10
  But
• 5:10
  now
• 5:10
  this
• 5:11
  consolidated
• 5:12
  decisioning
• 5:12
  engine
• 5:13
  can
• 5:13
  come
• 5:13
  up
• 5:13
  with
• 5:13
  the
• 5:13
  most
• 5:14
  comprehensive
• 5:14
  and
• 5:15
  kind
• 5:15
  of
• 5:16
  cost
• 5:16
  effective
• 5:17
  whatever
• 5:18
  you're
• 5:18
  optimizing
• 5:19
  on
• 5:19
  solutions
• 5:20
  that
• 5:20
  you
• 5:21
  would
• 5:21
  need.
• 5:22
  What's
• 5:22
  a
• 5:22
  breakthrough
• 5:23
  that
• 5:23
  you
• 5:23
  see
• 5:23
  happening
• 5:24
  on
• 5:24
  the
• 5:24
  horizon?
• 5:25
  Something
• 5:25
  that
• 5:25
  you
• 5:25
  believe
• 5:26
  is
• 5:26
  going
• 5:26
  to
• 5:27
  fundamentally
• 5:28
  redefine
• 5:29
  commerce
• 5:29
  in
• 5:29
  the
• 5:29
  next
• 5:30
  three
• 5:30
  to
• 5:30
  five
• 5:30
  years?
• 5:31
  Again,
• 5:32
  there
• 5:32
  are
• 5:32
  two
• 5:32
  parts
• 5:32
  and
• 5:33
  I
• 5:33
  think
• 5:33
  they're
• 5:33
  Both
• 5:33
  aligned.
• 5:34
  So
• 5:34
  business
• 5:35
  is
• 5:35
  moving
• 5:35
  from
• 5:36
  again,
• 5:36
  this
• 5:36
  systematic
• 5:37
  approach
• 5:37
  of
• 5:38
  buying
• 5:38
  individual
• 5:39
  systems
• 5:40
  like
• 5:40
  omas
• 5:41
  or
• 5:42
  front
• 5:42
  end
• 5:43
  or
• 5:44
  payment,
• 5:44
  et
• 5:44
  cetera,
• 5:45
  to
• 5:45
  kind
• 5:45
  of
• 5:46
  solving
• 5:46
  business
• 5:46
  needs.
• 5:47
  And
• 5:47
  on
• 5:48
  the
• 5:48
  other
• 5:48
  side
• 5:49
  from
• 5:49
  technology
• 5:50
  is
• 5:51
  again,
• 5:51
  as
• 5:52
  I
• 5:52
  was
• 5:52
  mentioning,
• 5:52
  from
• 5:53
  this
• 5:53
  microservice
• 5:53
  to
• 5:53
  modules
• 5:54
  to
• 5:54
  agentic.
• 5:55
  And
• 5:55
  what
• 5:56
  gets
• 5:56
  me
• 5:56
  excited
• 5:57
  the
• 5:57
  most,
• 5:57
  because
• 5:57
  I'm
• 5:57
  in
• 5:58
  the
• 5:58
  supply
• 5:58
  chain
• 5:58
  execution
• 5:59
  side,
• 6:00
  this
• 6:01
  whole
• 6:01
  gen
• 6:01
  AI
• 6:01
  started
• 6:02
  as
• 6:02
  a
• 6:02
  natural
• 6:02
  language
• 6:03
  kind
• 6:03
  of
• 6:03
  processing
• 6:04
  LLMs
• 6:05
  models,
• 6:06
  et
• 6:06
  cetera.
• 6:06
  So
• 6:06
  it
• 6:07
  was
• 6:07
  really
• 6:07
  good,
• 6:07
  and
• 6:07
  I
• 6:08
  would
• 6:08
  always
• 6:08
  say
• 6:08
  it
• 6:08
  was
• 6:08
  really
• 6:09
  good
• 6:09
  for
• 6:09
  planning
• 6:10
  systems
• 6:10
  because
• 6:10
  planners
• 6:11
  interact
• 6:12
  in
• 6:12
  that
• 6:12
  way
• 6:13
  from
• 6:13
  execution.
• 6:14
  The
• 6:14
  less
• 6:14
  human
• 6:15
  intervention
• 6:15
  there
• 6:16
  is,
• 6:16
  the
• 6:16
  better
• 6:17
  your
• 6:17
  system
• 6:17
  works.
• 6:18
  So
• 6:18
  historically
• 6:19
  these
• 6:19
  LLMs
• 6:20
  and
• 6:20
  Genai
• 6:21
  was
• 6:21
  not
• 6:21
  built
• 6:22
  for
• 6:22
  supply
• 6:23
  chain
• 6:23
  execution.
• 6:24
  So
• 6:24
  I
• 6:24
  think
• 6:24
  the
• 6:24
  most
• 6:24
  innovation
• 6:25
  will
• 6:25
  come
• 6:25
  from
• 6:26
  that
• 6:26
  space.
• 6:26
  And
• 6:27
  now
• 6:27
  with
• 6:27
  the
• 6:27
  new
• 6:28
  technology
• 6:28
  around
• 6:29
  agentic,
• 6:30
  around
• 6:30
  this
• 6:31
  kind
• 6:31
  of
• 6:31
  autonomous
• 6:32
  agents
• 6:32
  being
• 6:33
  able
• 6:33
  to
• 6:33
  orchestrate
• 6:34
  in
• 6:34
  the
• 6:35
  real
• 6:35
  time,
• 6:35
  right?
• 6:35
  Not
• 6:36
  spinning
• 6:37
  chatgpt.
• 6:38
  And
• 6:38
  you
• 6:38
  ask
• 6:38
  me
• 6:39
  a
• 6:39
  question,
• 6:39
  right?
• 6:39
  If
• 6:40
  I'm
• 6:40
  scanning
• 6:40
  shipments,
• 6:41
  I'm
• 6:41
  scanning
• 6:41
  them
• 6:42
  within
• 6:42
  milliseconds.
• 6:43
  If
• 6:43
  I'm
• 6:43
  processing
• 6:44
  orders,
• 6:44
  I'm
• 6:44
  processing
• 6:45
  them
• 6:45
  within
• 6:46
  single
• 6:46
  digit
• 6:47
  milliseconds.
• 6:48
  And
• 6:48
  so
• 6:48
  that
• 6:49
  kind
• 6:49
  of
• 6:50
  ability
• 6:51
  to
• 6:51
  meet
• 6:51
  the
• 6:51
  business
• 6:52
  needs
• 6:52
  with
• 6:52
  this
• 6:53
  new
• 6:53
  tag,
• 6:53
  it's
• 6:53
  probably
• 6:54
  what's
• 6:54
  going
• 6:54
  to
• 6:54
  evolve
• 6:54
  over
• 6:55
  time
• 6:55
  in
• 6:55
  a
• 6:55
  very
• 6:56
  exciting
• 6:57
  and
• 6:57
  new
• 6:57
  ways.
• 6:58
  Essentially
• 6:58
  you're
• 6:58
  saying
• 6:58
  protect
• 6:59
  the
• 6:59
  brain.
• 6:59
  Thank
• 7:00
  you,
• 7:00
  Eugene.
• 7:00
  That
• 7:00
  was
• 7:00
  great.
• 7:01
  Exactly,
• 7:02
  Eugene.