Latest / Omni Talk Retail / Writer | 🏆 October’s Retail Tech Startup of the Month

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Writer | 🏆 October’s Retail Tech Startup of the Month · Omni Talk Retail

• 0:00
  Foreign
• 0:10
  let's
• 0:10
  give
• 0:10
  a
• 0:10
  big
• 0:11
  Omni
• 0:11
  Talk
• 0:12
  welcome
• 0:12
  back
• 0:12
  to
• 0:12
  AWS's
• 0:13
  Danele
• 0:14
  Stropa
• 0:14
  because
• 0:15
  Danielle
• 0:15
  is
• 0:15
  here
• 0:16
  once
• 0:16
  again
• 0:16
  to
• 0:17
  hand
• 0:17
  out
• 0:17
  this
• 0:17
  month's
• 0:18
  Retail
• 0:18
  Tech
• 0:19
  Startup
• 0:19
  of
• 0:19
  the
• 0:19
  Month
• 0:20
  award.
• 0:20
  Danielle,
• 0:21
  for
• 0:21
  those
• 0:21
  who
• 0:21
  may
• 0:21
  not
• 0:22
  remember
• 0:22
  or,
• 0:22
  or
• 0:23
  who
• 0:23
  are
• 0:23
  new
• 0:23
  to
• 0:23
  our
• 0:24
  show,
• 0:24
  is
• 0:24
  the
• 0:24
  worldwide
• 0:25
  technical
• 0:25
  lead
• 0:26
  for
• 0:26
  AWS
• 0:27
  Partners
• 0:27
  in
• 0:27
  Retail
• 0:27
  at
• 0:28
  Amazon
• 0:28
  Web
• 0:29
  Services
• 0:29
  where
• 0:29
  he
• 0:30
  drives
• 0:30
  the
• 0:30
  technical
• 0:31
  strategy
• 0:31
  for
• 0:31
  AWS
• 0:32
  Partners
• 0:32
  in
• 0:32
  Digital
• 0:33
  Commerce,
• 0:33
  Customer
• 0:34
  engagement
• 0:34
  and
• 0:35
  Generative
• 0:36
  AI.
• 0:37
  Daniela,
• 0:37
  it's
• 0:38
  great
• 0:38
  to
• 0:38
  have
• 0:38
  you
• 0:39
  back.
• 0:39
  I
• 0:39
  think
• 0:40
  Ed,
• 0:40
  we
• 0:40
  need
• 0:40
  a
• 0:40
  drum
• 0:40
  roll
• 0:41
  here.
• 0:41
  I
• 0:42
  know
• 0:43
  I
• 0:43
  don't
• 0:43
  have
• 0:43
  a
• 0:43
  drum
• 0:44
  roll
• 0:44
  like
• 0:44
  little
• 0:45
  cue
• 0:45
  for
• 0:45
  the.
• 0:46
  I
• 0:46
  don't
• 0:46
  have
• 0:46
  a
• 0:46
  sound
• 0:46
  effect
• 0:47
  yet.
• 0:47
  But
• 0:47
  I
• 0:47
  know
• 0:47
  we
• 0:47
  need
• 0:47
  to
• 0:48
  get
• 0:48
  this
• 0:48
  sound
• 0:48
  effect.
• 0:49
  Drum
• 0:49
  roll,
• 0:50
  drum
• 0:50
  roll,
• 0:51
  drum
• 0:51
  roll
• 0:51
  is
• 0:51
  what
• 0:52
  we'll
• 0:52
  have
• 0:52
  to
• 0:52
  say.
• 0:52
  That's
• 0:53
  good.
• 0:53
  Drum
• 0:53
  roll,
• 0:53
  drum
• 0:54
  roll,
• 0:54
  drum
• 0:54
  roll.
• 0:54
  Yes.
• 0:55
  I
• 0:55
  love
• 0:55
  that
• 0:55
  ad.
• 0:55
  All
• 0:56
  right,
• 0:56
  so
• 0:56
  Dan,
• 0:58
  who
• 0:58
  is
• 0:58
  October's
• 0:59
  Retail
• 0:59
  Tech
• 0:59
  Startup
• 1:00
  of
• 1:00
  the
• 1:00
  month?
• 1:01
  So
• 1:02
  this
• 1:02
  month
• 1:03
  Retail
• 1:03
  Tech
• 1:03
  Startup
• 1:04
  of
• 1:04
  the
• 1:04
  month
• 1:04
  is
• 1:05
  Rytr
• 1:06
  and
• 1:06
  that's
• 1:06
  W
• 1:07
  R
• 1:07
  I
• 1:07
  T
• 1:08
  E
• 1:08
  R
• 1:09
  and
• 1:09
  they
• 1:10
  are
• 1:10
  a
• 1:10
  full
• 1:10
  stack
• 1:11
  generative
• 1:11
  AI
• 1:12
  platform
• 1:12
  that's
• 1:13
  really
• 1:13
  transforming
• 1:14
  the
• 1:14
  way
• 1:14
  that
• 1:15
  retailers
• 1:16
  and
• 1:16
  brands
• 1:16
  are
• 1:17
  automating
• 1:18
  process
• 1:18
  and
• 1:19
  generating
• 1:20
  content
• 1:20
  across
• 1:21
  their
• 1:21
  whole
• 1:21
  organization.
• 1:23
  Okay,
• 1:24
  so
• 1:24
  Danelli,
• 1:24
  tell
• 1:25
  us
• 1:25
  a
• 1:25
  little
• 1:25
  bit
• 1:25
  more
• 1:25
  like
• 1:25
  what's
• 1:26
  differentiating
• 1:27
  Rytr
• 1:27
  compared
• 1:28
  to
• 1:28
  some
• 1:28
  other
• 1:28
  players
• 1:29
  in
• 1:29
  the
• 1:29
  space
• 1:29
  and
• 1:30
  why
• 1:30
  is
• 1:30
  it
• 1:30
  so
• 1:30
  important
• 1:31
  for
• 1:31
  retailers
• 1:32
  and
• 1:32
  brands
• 1:32
  listening
• 1:33
  to
• 1:33
  kind
• 1:33
  of
• 1:33
  know
• 1:33
  about
• 1:33
  what
• 1:34
  they
• 1:34
  do?
• 1:35
  Yeah,
• 1:36
  I
• 1:36
  think
• 1:36
  what's
• 1:37
  what
• 1:37
  makes
• 1:37
  them
• 1:38
  particularly
• 1:38
  interesting
• 1:39
  is
• 1:40
  their
• 1:41
  end
• 1:41
  to
• 1:42
  end
• 1:42
  approach
• 1:43
  and
• 1:43
  solution.
• 1:44
  Right.
• 1:44
  They've
• 1:45
  built
• 1:46
  their
• 1:46
  own
• 1:47
  large
• 1:47
  language
• 1:47
  model
• 1:48
  which
• 1:48
  are
• 1:48
  some
• 1:49
  of
• 1:49
  the
• 1:49
  top
• 1:49
  scoring
• 1:50
  large
• 1:50
  language
• 1:51
  model
• 1:51
  out
• 1:51
  there.
• 1:53
  They
• 1:53
  have
• 1:53
  their
• 1:53
  own
• 1:54
  knowledge
• 1:54
  graph
• 1:55
  based
• 1:56
  solution.
• 1:58
  They
• 1:58
  have
• 1:59
  built
• 1:59
  in
• 2:00
  guardrails
• 2:01
  to
• 2:01
  ensure
• 2:01
  consistency
• 2:02
  and
• 2:03
  compliance
• 2:03
  with
• 2:04
  the
• 2:04
  content
• 2:04
  that
• 2:04
  is
• 2:04
  being
• 2:05
  generated.
• 2:06
  They
• 2:06
  really
• 2:07
  provide
• 2:07
  a
• 2:07
  full
• 2:08
  package,
• 2:08
  a
• 2:09
  full
• 2:09
  solution.
• 2:10
  On
• 2:11
  top
• 2:11
  of
• 2:11
  that
• 2:12
  they
• 2:12
  also
• 2:12
  have
• 2:14
  pre
• 2:14
  built,
• 2:15
  pre
• 2:15
  vetted
• 2:16
  agent
• 2:17
  and
• 2:17
  workflows
• 2:18
  that
• 2:19
  consumers,
• 2:20
  customers
• 2:21
  can
• 2:22
  take.
• 2:23
  They
• 2:23
  can
• 2:24
  test
• 2:24
  them
• 2:24
  out,
• 2:25
  plug
• 2:25
  them
• 2:26
  into
• 2:26
  their
• 2:26
  system,
• 2:27
  test
• 2:27
  them
• 2:28
  out
• 2:28
  and
• 2:28
  then
• 2:29
  move
• 2:31
  on
• 2:31
  to
• 2:31
  production
• 2:32
  with
• 2:33
  these
• 2:33
  ready
• 2:33
  workflows.
• 2:34
  So
• 2:35
  what
• 2:36
  that
• 2:36
  really
• 2:36
  means
• 2:37
  is
• 2:37
  that
• 2:37
  they
• 2:38
  are
• 2:38
  really
• 2:38
  accelerating
• 2:39
  the
• 2:40
  way
• 2:40
  that
• 2:41
  brands,
• 2:41
  retailers
• 2:42
  can
• 2:42
  go
• 2:42
  to
• 2:42
  production
• 2:43
  with
• 2:43
  these
• 2:44
  predefined
• 2:45
  pre
• 2:46
  tested
• 2:46
  solutions
• 2:48
  in
• 2:48
  a
• 2:48
  much
• 2:49
  faster
• 2:49
  way.
• 2:49
  So
• 2:50
  Danielle,
• 2:50
  I'm
• 2:50
  curious
• 2:51
  too
• 2:51
  and
• 2:51
  this
• 2:51
  is
• 2:52
  a
• 2:52
  question
• 2:52
  I've
• 2:52
  never
• 2:52
  thought
• 2:52
  about
• 2:53
  until
• 2:53
  you
• 2:53
  just
• 2:53
  brought
• 2:54
  that
• 2:54
  up.
• 2:54
  So
• 2:54
  we
• 2:54
  always
• 2:55
  know
• 2:55
  the
• 2:55
  big
• 2:55
  four,
• 2:56
  right?
• 2:57
  The
• 2:57
  Geminis
• 2:58
  of
• 2:58
  the
• 2:58
  world,
• 2:58
  the
• 2:58
  chatgpt,
• 2:59
  perplexity,
• 3:00
  anthropic,
• 3:02
  we
• 3:02
  hear
• 3:02
  about
• 3:02
  those
• 3:02
  all
• 3:03
  the
• 3:03
  time.
• 3:03
  But
• 3:04
  now
• 3:04
  you're
• 3:04
  saying
• 3:04
  there's
• 3:05
  this
• 3:05
  other
• 3:06
  option
• 3:06
  that
• 3:06
  does
• 3:07
  something
• 3:07
  different.
• 3:08
  So
• 3:08
  if
• 3:08
  I'm
• 3:08
  a
• 3:09
  retail
• 3:09
  executive,
• 3:09
  how
• 3:11
  put
• 3:11
  rider
• 3:11
  in
• 3:12
  that
• 3:12
  context
• 3:12
  of
• 3:12
  how
• 3:13
  it
• 3:13
  sits
• 3:13
  alongside
• 3:14
  those
• 3:14
  other
• 3:15
  options
• 3:15
  and
• 3:16
  why
• 3:16
  am
• 3:16
  I
• 3:16
  choosing
• 3:16
  rider
• 3:17
  to
• 3:18
  do
• 3:18
  my
• 3:18
  work
• 3:18
  versus
• 3:19
  one
• 3:19
  of
• 3:19
  them?
• 3:21
  Yeah,
• 3:22
  so
• 3:23
  when
• 3:24
  we
• 3:24
  look
• 3:24
  at
• 3:24
  the
• 3:25
  large
• 3:26
  language
• 3:26
  model
• 3:27
  landscape
• 3:27
  now,
• 3:28
  or
• 3:28
  generative
• 3:28
  AI
• 3:29
  landscape,
• 3:29
  right?
• 3:30
  There
• 3:30
  is
• 3:31
  models
• 3:32
  that
• 3:32
  are
• 3:33
  good
• 3:34
  at
• 3:34
  a
• 3:35
  bit
• 3:35
  of
• 3:35
  everything
• 3:38
  and
• 3:38
  then
• 3:38
  there's
• 3:38
  models
• 3:39
  that
• 3:40
  are
• 3:40
  fine
• 3:41
  tuned,
• 3:41
  they
• 3:41
  are
• 3:42
  tweaked,
• 3:43
  they
• 3:43
  are
• 3:43
  a
• 3:43
  bit
• 3:43
  more
• 3:43
  specific
• 3:44
  for
• 3:46
  certain
• 3:46
  tasks.
• 3:49
  This
• 3:49
  is
• 3:49
  what
• 3:51
  Writer
• 3:52
  has
• 3:52
  done.
• 3:53
  They
• 3:53
  have
• 3:53
  models
• 3:54
  that
• 3:54
  are
• 3:54
  more
• 3:55
  specific
• 3:55
  for
• 3:55
  certain
• 3:56
  tasks
• 3:57
  and
• 3:57
  as
• 3:58
  I
• 3:58
  said,
• 3:58
  on
• 3:58
  top
• 3:58
  of
• 3:58
  that,
• 3:59
  they
• 3:59
  have
• 3:59
  these
• 4:01
  pre
• 4:01
  built
• 4:03
  solutions,
• 4:04
  pre
• 4:04
  built
• 4:05
  templates
• 4:06
  that
• 4:07
  are
• 4:07
  specific
• 4:07
  for
• 4:08
  an
• 4:08
  industry.
• 4:08
  Right.
• 4:09
  So
• 4:09
  they
• 4:09
  have
• 4:10
  agents
• 4:11
  specific
• 4:12
  for
• 4:12
  retail
• 4:13
  and
• 4:13
  consumer
• 4:13
  goods.
• 4:14
  They
• 4:15
  have
• 4:15
  other
• 4:15
  industries
• 4:16
  there
• 4:16
  as
• 4:16
  well.
• 4:17
  But
• 4:17
  this
• 4:18
  really
• 4:18
  means
• 4:18
  that
• 4:19
  this
• 4:19
  is
• 4:20
  specialized,
• 4:21
  specific
• 4:21
  solution
• 4:22
  for
• 4:23
  this
• 4:23
  industry.
• 4:24
  They
• 4:25
  said
• 4:25
  they
• 4:25
  are
• 4:25
  pre
• 4:25
  vetted
• 4:26
  and
• 4:26
  they
• 4:26
  are
• 4:27
  pre
• 4:28
  tested.
• 4:29
  So
• 4:29
  it's
• 4:30
  really
• 4:30
  almost
• 4:30
  as
• 4:31
  a
• 4:31
  plug
• 4:31
  and
• 4:31
  play
• 4:31
  solution
• 4:32
  that
• 4:33
  an
• 4:33
  organization
• 4:34
  can
• 4:34
  take
• 4:36
  and
• 4:38
  utilize
• 4:38
  like
• 4:39
  that.
• 4:40
  Got
• 4:40
  it.
• 4:40
  So
• 4:41
  if
• 4:41
  I'm
• 4:41
  an
• 4:41
  executive,
• 4:41
  what
• 4:41
  I'm
• 4:42
  taking
• 4:42
  from
• 4:42
  that
• 4:42
  is
• 4:42
  that
• 4:43
  it
• 4:43
  should
• 4:43
  enable
• 4:43
  the.
• 4:43
  Specialization
• 4:44
  is
• 4:44
  the
• 4:45
  key
• 4:45
  word
• 4:45
  there
• 4:45
  and
• 4:45
  it
• 4:45
  should
• 4:45
  enable
• 4:46
  me
• 4:46
  to
• 4:46
  go
• 4:47
  faster
• 4:47
  and
• 4:47
  with
• 4:48
  more
• 4:48
  certainty
• 4:49
  or
• 4:49
  accuracy
• 4:49
  in
• 4:50
  the
• 4:50
  result
• 4:50
  I'm
• 4:50
  trying
• 4:50
  to
• 4:51
  ultimately
• 4:51
  get
• 4:52
  from
• 4:52
  using
• 4:52
  their
• 4:52
  solution.
• 4:54
  Correct?
• 4:54
  Yeah.
• 4:56
  Okay.
• 4:56
  All
• 4:56
  right.
• 4:57
  Awesome.
• 4:57
  Well,
• 4:57
  you
• 4:57
  heard
• 4:58
  it
• 4:58
  here
• 4:58
  first
• 4:58
  folks.
• 4:59
  The
• 4:59
  October
• 5:00
  start
• 5:00
  of
• 5:00
  of
• 5:00
  the
• 5:01
  month.
• 5:01
  Writer.
• 5:02
  Thanks,
• 5:02
  Danielle.
• 5:03
  Thank
• 5:04
  you.
• 5:04
  Thank
• 5:04
  you.