Latest / Omni Talk Retail / Digital Store Survival Kit: Realities, Roadmaps, & Resources For 2026 | Ask An Expert

Transcript

Digital Store Survival Kit: Realities, Roadmaps, & Resources For 2026 | Ask An Expert · Omni Talk Retail

• 0:00
  Foreign.
• 0:08
  Hello,
• 0:08
  welcome
• 0:09
  to
• 0:09
  the
• 0:09
  latest
• 0:10
  edition
• 0:10
  of
• 0:10
  the
• 0:10
  Omnitok
• 0:11
  Retail
• 0:11
  Ask
• 0:11
  An
• 0:12
  Expert
• 0:12
  series.
• 0:12
  I'm
• 0:13
  one
• 0:13
  of
• 0:13
  your
• 0:13
  hosts,
• 0:13
  Anne
• 0:13
  Mazinga.
• 0:14
  And
• 0:14
  I'm
• 0:15
  one
• 0:15
  of
• 0:15
  the
• 0:15
  other
• 0:15
  co
• 0:15
  hosts,
• 0:16
  Chris
• 0:16
  Walton.
• 0:16
  And
• 0:17
  we
• 0:17
  are
• 0:17
  the
• 0:17
  founders
• 0:18
  of
• 0:18
  omnitalk,
• 0:18
  the
• 0:19
  fast
• 0:19
  growing
• 0:19
  retail
• 0:19
  media
• 0:20
  outlet
• 0:20
  that
• 0:20
  is
• 0:20
  all
• 0:20
  about
• 0:21
  the
• 0:21
  companies,
• 0:21
  the
• 0:21
  technologies,
• 0:22
  and
• 0:22
  the
• 0:22
  people
• 0:23
  that
• 0:23
  are
• 0:23
  coming
• 0:23
  together
• 0:24
  to
• 0:24
  shape
• 0:24
  the
• 0:24
  future
• 0:24
  of
• 0:25
  retail.
• 0:25
  And
• 0:26
  Chris,
• 0:26
  our
• 0:26
  next
• 0:26
  expert,
• 0:27
  is
• 0:27
  one
• 0:27
  of
• 0:27
  the
• 0:28
  most
• 0:28
  knowledgeable
• 0:28
  people
• 0:29
  that
• 0:29
  we
• 0:29
  know
• 0:29
  when
• 0:30
  it
• 0:30
  comes
• 0:30
  to
• 0:30
  store
• 0:31
  digitization.
• 0:32
  He's
• 0:33
  here
• 0:33
  today
• 0:33
  for
• 0:34
  our
• 0:34
  very
• 0:34
  last
• 0:34
  LinkedIn
• 0:35
  Live
• 0:35
  event
• 0:35
  of
• 0:36
  2025,
• 0:37
  and
• 0:37
  he's
• 0:38
  going
• 0:38
  to
• 0:38
  share
• 0:38
  with
• 0:38
  this
• 0:38
  audience
• 0:39
  some
• 0:39
  of
• 0:39
  the
• 0:40
  realities
• 0:41
  of
• 0:41
  what
• 0:41
  store
• 0:42
  digitization
• 0:43
  might
• 0:43
  look
• 0:43
  like
• 0:44
  in
• 0:44
  2026,
• 0:46
  as
• 0:46
  well
• 0:46
  as
• 0:47
  the
• 0:47
  keys
• 0:47
  to
• 0:47
  developing
• 0:48
  a
• 0:48
  very
• 0:48
  smart
• 0:49
  roadmap
• 0:49
  for
• 0:50
  your
• 0:50
  organization.
• 0:51
  And
• 0:51
  also
• 0:52
  to
• 0:52
  share
• 0:52
  some
• 0:53
  resources,
• 0:53
  some
• 0:54
  that
• 0:54
  our
• 0:54
  audience
• 0:55
  can
• 0:55
  have
• 0:56
  a
• 0:56
  spot
• 0:56
  to
• 0:57
  turn
• 0:57
  to
• 0:57
  as
• 0:57
  they're
• 0:58
  putting
• 0:58
  together
• 0:58
  their
• 0:58
  own
• 0:59
  store
• 0:59
  digitization
• 1:00
  strategies
• 1:01
  in
• 1:01
  2026.
• 1:02
  Digitization.
• 1:03
  It's
• 1:03
  not
• 1:03
  an
• 1:03
  easy
• 1:04
  word
• 1:04
  to
• 1:04
  say.
• 1:05
  Doesn't
• 1:05
  roll
• 1:05
  off
• 1:05
  the
• 1:05
  tongue.
• 1:06
  No,
• 1:06
  doesn't
• 1:07
  roll
• 1:07
  off
• 1:07
  the
• 1:07
  tongue.
• 1:08
  So
• 1:09
  it's.
• 1:09
  I'm
• 1:09
  going
• 1:09
  to
• 1:09
  hand
• 1:10
  it
• 1:10
  over
• 1:10
  to
• 1:10
  somebody
• 1:10
  who
• 1:11
  can
• 1:11
  say
• 1:11
  digitization
• 1:12
  much
• 1:13
  more
• 1:13
  fluidly
• 1:14
  than
• 1:14
  I
• 1:14
  can.
• 1:14
  It's
• 1:15
  with
• 1:15
  great
• 1:15
  pleasure
• 1:16
  that
• 1:16
  we
• 1:16
  introduce
• 1:17
  Gray
• 1:17
  Orange's
• 1:18
  general
• 1:18
  manager
• 1:18
  of
• 1:19
  G
• 1:19
  Store,
• 1:20
  Dr.
• 1:20
  Troy
• 1:20
  Siwick,
• 1:21
  back
• 1:21
  onto
• 1:22
  the
• 1:22
  show.
• 1:22
  Troy,
• 1:23
  it's
• 1:23
  great
• 1:23
  to
• 1:24
  have
• 1:24
  you.
• 1:24
  Welcome
• 1:24
  back
• 1:24
  to
• 1:24
  omnitalk.
• 1:25
  It's
• 1:26
  always
• 1:26
  great
• 1:26
  to
• 1:26
  be
• 1:27
  here
• 1:27
  to
• 1:27
  talk
• 1:27
  digitization.
• 1:30
  With
• 1:30
  you.
• 1:30
  See,
• 1:31
  I
• 1:31
  love
• 1:31
  that.
• 1:31
  I
• 1:32
  love
• 1:32
  that
• 1:32
  you're
• 1:32
  giving.
• 1:32
  You're
• 1:33
  throwing
• 1:33
  me
• 1:33
  that
• 1:33
  bone.
• 1:35
  I
• 1:36
  was
• 1:36
  like,
• 1:36
  is
• 1:36
  this
• 1:36
  my
• 1:37
  lisp?
• 1:37
  Is
• 1:38
  this
• 1:38
  something
• 1:38
  like
• 1:38
  what
• 1:39
  is
• 1:39
  happening
• 1:39
  with
• 1:39
  store
• 1:40
  digitization?
• 1:41
  No,
• 1:41
  it's
• 1:42
  a
• 1:42
  hard
• 1:42
  word
• 1:42
  to
• 1:42
  say
• 1:42
  anytime
• 1:43
  you
• 1:43
  get
• 1:43
  into
• 1:43
  like
• 1:43
  four.
• 1:44
  I
• 1:44
  don't
• 1:44
  even
• 1:44
  know
• 1:44
  how
• 1:44
  many
• 1:44
  syllables
• 1:45
  it
• 1:45
  has.
• 1:45
  Four
• 1:45
  or
• 1:45
  five
• 1:46
  syllables.
• 1:46
  It's
• 1:46
  always
• 1:46
  tricky
• 1:47
  on
• 1:47
  these
• 1:47
  microphones
• 1:48
  to
• 1:48
  say
• 1:48
  it
• 1:48
  correctly.
• 1:49
  Digitization.
• 1:49
  But
• 1:50
  I
• 1:50
  like
• 1:50
  that
• 1:50
  you
• 1:50
  doubled
• 1:50
  down
• 1:51
  on
• 1:51
  it.
• 1:51
  You
• 1:51
  went
• 1:51
  back
• 1:51
  to
• 1:51
  it,
• 1:52
  even
• 1:52
  though
• 1:52
  you
• 1:53
  had
• 1:53
  got
• 1:53
  a
• 1:53
  little
• 1:53
  tongue
• 1:54
  tied
• 1:54
  the
• 1:54
  first
• 1:54
  couple
• 1:54
  of
• 1:54
  times.
• 1:55
  And
• 1:55
  then,
• 1:55
  yeah,
• 1:56
  Troy,
• 1:56
  it's
• 1:56
  good
• 1:56
  to
• 1:56
  see
• 1:56
  you.
• 1:56
  So,
• 1:57
  Troy,
• 1:57
  this
• 1:57
  is
• 1:57
  your
• 1:58
  first
• 1:58
  webinar
• 1:58
  with
• 1:58
  us,
• 1:59
  right?
• 1:59
  We've
• 1:59
  had
• 1:59
  you
• 1:59
  on
• 1:59
  the
• 2:00
  podcast
• 2:00
  numerous
• 2:01
  times.
• 2:01
  We've
• 2:02
  done
• 2:02
  five
• 2:02
  insightful
• 2:03
  minutes
• 2:03
  with
• 2:03
  you,
• 2:03
  but
• 2:03
  this
• 2:03
  is
• 2:03
  our
• 2:04
  first
• 2:04
  live
• 2:05
  presentation
• 2:05
  of
• 2:06
  your
• 2:06
  thoughts
• 2:07
  and
• 2:07
  insights,
• 2:07
  correct?
• 2:08
  I
• 2:08
  think
• 2:09
  so.
• 2:09
  We
• 2:09
  did
• 2:09
  some
• 2:10
  stuff
• 2:10
  last
• 2:10
  year
• 2:10
  at
• 2:10
  nrf,
• 2:11
  but
• 2:11
  this
• 2:11
  is
• 2:11
  a
• 2:11
  little
• 2:11
  bit
• 2:12
  different,
• 2:12
  right?
• 2:12
  Yes,
• 2:13
  Right.
• 2:13
  We
• 2:13
  did
• 2:13
  the
• 2:13
  tech
• 2:14
  preview.
• 2:14
  That's
• 2:14
  right.
• 2:14
  Yeah.
• 2:15
  But
• 2:15
  this
• 2:15
  is
• 2:15
  the
• 2:15
  first
• 2:15
  time
• 2:15
  we
• 2:15
  get
• 2:15
  you
• 2:16
  for
• 2:16
  30
• 2:16
  full
• 2:16
  minutes
• 2:17
  to
• 2:17
  ourselves.
• 2:18
  So
• 2:18
  I'm
• 2:18
  excited
• 2:18
  about
• 2:18
  it.
• 2:19
  But
• 2:19
  because
• 2:19
  before
• 2:19
  we
• 2:20
  get
• 2:20
  started,
• 2:20
  just
• 2:21
  a
• 2:21
  quick
• 2:21
  reminder,
• 2:21
  for
• 2:22
  those
• 2:22
  watching
• 2:22
  the
• 2:22
  early
• 2:23
  release
• 2:23
  of
• 2:23
  this
• 2:23
  Interview
• 2:24
  live
• 2:24
  on
• 2:24
  LinkedIn,
• 2:25
  feel
• 2:25
  free
• 2:25
  to
• 2:25
  ask
• 2:26
  your
• 2:26
  questions
• 2:26
  at
• 2:26
  any
• 2:27
  time
• 2:27
  via
• 2:28
  the
• 2:28
  chat
• 2:28
  session
• 2:28
  window
• 2:29
  on
• 2:29
  your
• 2:29
  mobile
• 2:30
  phone
• 2:30
  or
• 2:30
  your
• 2:30
  desktop
• 2:31
  computer.
• 2:32
  All
• 2:32
  right,
• 2:32
  Troy,
• 2:32
  let's
• 2:33
  start
• 2:33
  out
• 2:33
  as
• 2:33
  we
• 2:33
  always
• 2:34
  do.
• 2:34
  Why
• 2:34
  don't
• 2:34
  you
• 2:34
  tell
• 2:35
  the
• 2:35
  audience
• 2:35
  a
• 2:35
  little
• 2:35
  bit
• 2:36
  about
• 2:36
  yourself.
• 2:36
  We've
• 2:36
  had
• 2:36
  you
• 2:36
  on
• 2:37
  a
• 2:37
  bunch
• 2:37
  of
• 2:37
  times,
• 2:37
  so
• 2:37
  I'm
• 2:37
  sure
• 2:38
  there's
• 2:38
  some
• 2:38
  people
• 2:38
  that
• 2:38
  aren't
• 2:39
  familiar
• 2:39
  with
• 2:39
  who
• 2:39
  you
• 2:39
  are
• 2:40
  and
• 2:40
  what
• 2:40
  it
• 2:40
  is
• 2:41
  that
• 2:41
  Gray
• 2:41
  Orange
• 2:42
  does.
• 2:42
  Thanks,
• 2:42
  Chris.
• 2:43
  So
• 2:43
  my
• 2:43
  career
• 2:43
  path
• 2:44
  has
• 2:44
  always
• 2:44
  been
• 2:44
  in
• 2:45
  retail,
• 2:46
  helping
• 2:46
  physical
• 2:47
  and
• 2:47
  digital
• 2:48
  stores
• 2:49
  work
• 2:49
  a
• 2:49
  little
• 2:49
  better
• 2:50
  in
• 2:50
  the
• 2:50
  real
• 2:50
  world.
• 2:50
  It's
• 2:51
  been
• 2:51
  a
• 2:51
  little
• 2:52
  bit
• 2:52
  of
• 2:52
  a
• 2:52
  multi
• 2:53
  decade
• 2:53
  career,
• 2:54
  so
• 2:54
  I'll
• 2:54
  just
• 2:54
  leave
• 2:54
  it
• 2:55
  at
• 2:55
  that
• 2:55
  to
• 2:56
  not
• 2:56
  date
• 2:56
  myself
• 2:56
  too
• 2:57
  much.
• 2:57
  But
• 2:57
  I
• 2:58
  spent
• 2:58
  most
• 2:58
  of
• 2:58
  my
• 2:58
  career
• 2:59
  advising
• 3:00
  retail
• 3:00
  execs
• 3:01
  in
• 3:01
  a
• 3:01
  consulting
• 3:02
  form,
• 3:03
  and
• 3:03
  now
• 3:03
  I'm
• 3:04
  running
• 3:04
  a
• 3:04
  retail
• 3:04
  software
• 3:05
  business
• 3:05
  at
• 3:05
  Gray
• 3:06
  Orange
• 3:06
  called
• 3:06
  G
• 3:06
  Store.
• 3:08
  That
• 3:09
  experience
• 3:09
  that
• 3:09
  I
• 3:09
  had
• 3:10
  consulting
• 3:10
  shaped
• 3:11
  how
• 3:11
  I
• 3:11
  think
• 3:11
  about
• 3:11
  digitization.
• 3:14
  It
• 3:14
  has
• 3:14
  to
• 3:14
  be
• 3:14
  practical,
• 3:15
  it
• 3:15
  has
• 3:15
  to
• 3:15
  be
• 3:15
  fast.
• 3:16
  It
• 3:16
  has
• 3:16
  to
• 3:16
  help
• 3:16
  store
• 3:17
  teams
• 3:18
  with
• 3:18
  their
• 3:18
  everyday
• 3:19
  experiences
• 3:19
  and
• 3:19
  challenges.
• 3:20
  I
• 3:20
  think
• 3:20
  we'll
• 3:20
  talk
• 3:21
  about
• 3:21
  some
• 3:21
  of
• 3:21
  that
• 3:21
  today.
• 3:22
  So
• 3:22
  I
• 3:22
  always
• 3:22
  ground
• 3:23
  myself
• 3:23
  in
• 3:23
  how
• 3:23
  is
• 3:24
  this
• 3:24
  helping
• 3:25
  the
• 3:25
  stores.
• 3:26
  But
• 3:27
  at
• 3:27
  G
• 3:27
  Store,
• 3:27
  our
• 3:28
  team
• 3:28
  provides
• 3:29
  an
• 3:29
  operating
• 3:30
  platform
• 3:31
  for
• 3:31
  the
• 3:31
  store,
• 3:32
  for
• 3:32
  the
• 3:32
  store
• 3:32
  associates
• 3:33
  that
• 3:33
  connects
• 3:34
  all
• 3:34
  the
• 3:34
  signals
• 3:34
  you
• 3:34
  get
• 3:35
  from
• 3:35
  RFID
• 3:36
  readers,
• 3:37
  robotics,
• 3:37
  sensors,
• 3:38
  cameras,
• 3:39
  and
• 3:39
  so
• 3:39
  on.
• 3:39
  So
• 3:39
  when
• 3:40
  you
• 3:40
  pair
• 3:40
  all
• 3:41
  that
• 3:41
  tech
• 3:41
  with
• 3:42
  our
• 3:42
  orchestration
• 3:43
  software
• 3:44
  and
• 3:45
  mobility,
• 3:45
  you
• 3:45
  get
• 3:46
  a
• 3:46
  store
• 3:47
  that
• 3:47
  feels
• 3:47
  awake,
• 3:48
  feels
• 3:49
  responsive,
• 3:50
  feels
• 3:50
  in
• 3:50
  this
• 3:51
  decade.
• 3:52
  So
• 3:52
  that's
• 3:52
  what
• 3:52
  we
• 3:52
  do
• 3:52
  at
• 3:53
  G
• 3:53
  Store.
• 3:53
  And
• 3:53
  that's
• 3:53
  a
• 3:53
  little
• 3:54
  bit
• 3:54
  about
• 3:54
  me.
• 3:54
  So,
• 3:54
  Troy,
• 3:55
  Troy,
• 3:55
  I
• 3:55
  love,
• 3:56
  I
• 3:56
  love
• 3:56
  that
• 3:56
  you
• 3:56
  aged
• 3:56
  yourself
• 3:57
  too,
• 3:57
  but
• 3:57
  your
• 3:57
  hair
• 3:57
  is,
• 3:57
  is
• 3:58
  holding
• 3:58
  up
• 3:58
  much
• 3:58
  better
• 3:58
  than
• 3:58
  mine
• 3:59
  is
• 3:59
  too,
• 3:59
  for
• 4:00
  a
• 4:00
  similar
• 4:00
  length
• 4:00
  of
• 4:01
  career.
• 4:01
  But,
• 4:01
  but
• 4:02
  digitization.
• 4:03
  So
• 4:03
  how
• 4:03
  do
• 4:03
  you,
• 4:03
  how
• 4:03
  do
• 4:04
  you
• 4:04
  actually
• 4:04
  define
• 4:04
  digitization
• 4:05
  of
• 4:05
  the
• 4:05
  physical
• 4:06
  store?
• 4:06
  Like,
• 4:06
  how
• 4:06
  do
• 4:07
  you
• 4:07
  actually
• 4:07
  define
• 4:08
  for
• 4:08
  our
• 4:08
  audience
• 4:09
  what
• 4:09
  that
• 4:09
  is?
• 4:10
  Because
• 4:10
  people
• 4:10
  talk
• 4:10
  about
• 4:10
  it
• 4:11
  a
• 4:11
  lot,
• 4:11
  a
• 4:11
  lot
• 4:11
  of
• 4:11
  times,
• 4:12
  but
• 4:12
  I
• 4:12
  don't
• 4:12
  necessarily
• 4:12
  hear
• 4:13
  a
• 4:13
  great
• 4:13
  definition
• 4:14
  of
• 4:14
  it,
• 4:14
  necessarily.
• 4:14
  How
• 4:15
  do
• 4:15
  you
• 4:15
  define
• 4:15
  it?
• 4:16
  It's.
• 4:16
  For
• 4:16
  me,
• 4:17
  it's
• 4:17
  like
• 4:18
  we
• 4:18
  make
• 4:18
  it
• 4:19
  sound
• 4:19
  too
• 4:19
  complicated.
• 4:20
  It's
• 4:20
  really
• 4:20
  simple.
• 4:21
  If
• 4:21
  you
• 4:21
  think
• 4:21
  of
• 4:23
  e
• 4:23
  Comm
• 4:24
  in
• 4:25
  2010
• 4:26
  or
• 4:26
  2015,
• 4:27
  you
• 4:28
  know,
• 4:28
  everything
• 4:28
  about
• 4:29
  Chris
• 4:29
  is
• 4:29
  on
• 4:30
  my
• 4:30
  website.
• 4:31
  This
• 4:31
  is
• 4:31
  what
• 4:31
  he's
• 4:31
  looking
• 4:32
  at.
• 4:32
  This
• 4:32
  is
• 4:32
  what
• 4:32
  he
• 4:33
  abandoned.
• 4:33
  This
• 4:33
  is
• 4:34
  what
• 4:34
  he
• 4:34
  didn't
• 4:34
  like.
• 4:36
  The
• 4:36
  good,
• 4:36
  the
• 4:36
  bad
• 4:36
  and
• 4:36
  the
• 4:37
  ugly.
• 4:37
  You
• 4:37
  know,
• 4:37
  everything
• 4:38
  about
• 4:38
  your
• 4:39
  visit,
• 4:39
  what
• 4:39
  you're
• 4:40
  interested
• 4:40
  in,
• 4:41
  your
• 4:41
  preferences
• 4:42
  all
• 4:42
  that
• 4:42
  kind
• 4:43
  of
• 4:43
  stuff.
• 4:43
  Here
• 4:44
  we
• 4:44
  are
• 4:45
  10,
• 4:45
  15
• 4:46
  years
• 4:46
  after
• 4:47
  that,
• 4:48
  and
• 4:48
  you
• 4:48
  still
• 4:48
  don't
• 4:49
  know
• 4:49
  almost
• 4:49
  anything
• 4:50
  about
• 4:51
  people
• 4:51
  that
• 4:51
  walk
• 4:51
  in
• 4:52
  your
• 4:52
  store,
• 4:52
  what
• 4:52
  they
• 4:52
  look
• 4:53
  like,
• 4:53
  where
• 4:53
  they
• 4:53
  are.
• 4:54
  So
• 4:54
  this
• 4:54
  is
• 4:55
  bridging
• 4:55
  that
• 4:56
  Gap
• 4:56
  and
• 4:57
  catching
• 4:57
  us
• 4:57
  up.
• 4:58
  And,
• 4:58
  you
• 4:58
  know,
• 4:58
  I
• 4:59
  remember
• 4:59
  the
• 4:59
  days,
• 4:59
  I'm
• 5:00
  sure
• 5:00
  you
• 5:00
  do,
• 5:00
  too,
• 5:00
  when
• 5:00
  people
• 5:01
  said
• 5:01
  the
• 5:01
  physical
• 5:02
  store
• 5:02
  is
• 5:02
  going
• 5:02
  to
• 5:02
  be
• 5:02
  dead,
• 5:03
  and
• 5:03
  it's
• 5:04
  still
• 5:04
  25.
• 5:05
  You
• 5:05
  know,
• 5:05
  Ecom.
• 5:06
  Still
• 5:06
  25,
• 5:06
  28%.
• 5:07
  You
• 5:08
  know,
• 5:08
  people
• 5:08
  want
• 5:08
  to
• 5:08
  go
• 5:09
  experience
• 5:09
  stores.
• 5:10
  They
• 5:10
  just
• 5:11
  want
• 5:11
  to
• 5:11
  experience
• 5:11
  it
• 5:12
  with
• 5:12
  that
• 5:12
  level
• 5:13
  of
• 5:13
  digital.
• 5:15
  Like,
• 5:15
  know
• 5:16
  me,
• 5:16
  that
• 5:17
  happens.
• 5:17
  Like,
• 5:18
  know
• 5:18
  who
• 5:18
  I
• 5:18
  am
• 5:18
  when
• 5:18
  I'm
• 5:19
  in
• 5:19
  your
• 5:19
  store
• 5:19
  and
• 5:19
  understand
• 5:20
  me.
• 5:20
  And
• 5:20
  we
• 5:20
  got
• 5:21
  to
• 5:21
  bridge
• 5:21
  that
• 5:21
  gap.
• 5:21
  So
• 5:21
  that's
• 5:22
  what
• 5:22
  I
• 5:22
  call
• 5:22
  digitization
• 5:23
  of
• 5:23
  physical
• 5:24
  stores.
• 5:24
  I
• 5:24
  love
• 5:24
  how
• 5:25
  you
• 5:25
  said
• 5:25
  the
• 5:25
  store
• 5:26
  is
• 5:26
  awake.
• 5:26
  Like,
• 5:26
  that
• 5:27
  was
• 5:27
  a
• 5:27
  really
• 5:27
  cool
• 5:28
  way
• 5:28
  of
• 5:28
  thinking
• 5:28
  about
• 5:29
  it.
• 5:29
  Like,
• 5:29
  the
• 5:29
  store
• 5:30
  is
• 5:30
  awake
• 5:30
  and
• 5:30
  responsive.
• 5:31
  And,
• 5:31
  you
• 5:32
  know,
• 5:32
  that's
• 5:32
  something
• 5:32
  that
• 5:33
  retailers
• 5:33
  have
• 5:33
  been
• 5:34
  trying
• 5:34
  to
• 5:34
  do,
• 5:35
  as
• 5:35
  you
• 5:35
  mentioned
• 5:36
  and
• 5:36
  Chris
• 5:36
  and
• 5:36
  I
• 5:36
  certainly
• 5:37
  tried
• 5:37
  to
• 5:37
  work
• 5:38
  on.
• 5:38
  That
• 5:38
  was
• 5:38
  kind
• 5:38
  of
• 5:38
  a
• 5:39
  foundation
• 5:39
  of
• 5:39
  our
• 5:39
  work
• 5:39
  at
• 5:39
  Store
• 5:40
  of
• 5:40
  the
• 5:40
  Future,
• 5:40
  too,
• 5:40
  is
• 5:41
  like,
• 5:41
  how
• 5:41
  do
• 5:41
  we
• 5:41
  make
• 5:42
  a
• 5:42
  site
• 5:42
  that.
• 5:43
  Or
• 5:43
  a
• 5:43
  store
• 5:43
  that's
• 5:44
  adapting
• 5:44
  to
• 5:45
  our
• 5:45
  shoppers,
• 5:46
  like.
• 5:46
  Like
• 5:47
  a
• 5:47
  website
• 5:47
  would.
• 5:49
  I
• 5:49
  want
• 5:49
  to.
• 5:50
  I
• 5:50
  want
• 5:50
  to
• 5:50
  ask
• 5:50
  you
• 5:50
  something,
• 5:51
  Troy,
• 5:51
  because
• 5:51
  when.
• 5:52
  When
• 5:52
  you
• 5:52
  and
• 5:52
  I
• 5:52
  were
• 5:53
  talking,
• 5:53
  as
• 5:53
  I
• 5:53
  mentioned,
• 5:54
  you're
• 5:54
  our
• 5:54
  go
• 5:54
  to
• 5:55
  for
• 5:55
  everything
• 5:56
  store
• 5:56
  digitization,
• 5:57
  I
• 5:57
  was
• 5:57
  asking
• 5:58
  you
• 5:58
  just
• 5:58
  casually,
• 5:58
  like,
• 5:59
  where.
• 5:59
  Where
• 6:00
  do
• 6:00
  you
• 6:00
  think
• 6:00
  we're
• 6:00
  headed?
• 6:01
  Like,
• 6:01
  what
• 6:01
  are
• 6:01
  some
• 6:01
  of
• 6:01
  the
• 6:02
  trends
• 6:02
  that
• 6:02
  you
• 6:02
  think
• 6:03
  people
• 6:03
  are
• 6:03
  going
• 6:03
  to
• 6:03
  be
• 6:03
  talking
• 6:04
  about?
• 6:05
  What
• 6:05
  should
• 6:05
  be
• 6:06
  on
• 6:06
  our
• 6:06
  audience's
• 6:07
  radar
• 6:07
  as
• 6:08
  we
• 6:08
  head
• 6:08
  into
• 6:09
  2026?
• 6:10
  And
• 6:10
  I
• 6:10
  have
• 6:10
  to
• 6:10
  quote
• 6:11
  you
• 6:11
  because
• 6:11
  it
• 6:11
  was
• 6:11
  one
• 6:11
  of
• 6:11
  the
• 6:12
  funniest
• 6:12
  things
• 6:13
  that
• 6:13
  I've
• 6:13
  heard
• 6:14
  you
• 6:14
  told
• 6:14
  me,
• 6:15
  and
• 6:15
  I
• 6:15
  quote,
• 6:16
  everyone
• 6:17
  and
• 6:17
  their
• 6:17
  mothers
• 6:18
  are
• 6:18
  going
• 6:18
  to
• 6:18
  be
• 6:18
  talking
• 6:19
  about
• 6:19
  digital
• 6:19
  twins
• 6:20
  and
• 6:20
  AI
• 6:21
  in
• 6:21
  2026.
• 6:22
  End
• 6:23
  quote.
• 6:24
  So,
• 6:24
  one,
• 6:25
  I
• 6:25
  want
• 6:25
  to
• 6:25
  know
• 6:25
  why
• 6:26
  that
• 6:26
  is.
• 6:27
  And
• 6:27
  two,
• 6:28
  I
• 6:28
  have
• 6:28
  to
• 6:29
  ask,
• 6:29
  is
• 6:29
  that
• 6:29
  what
• 6:30
  we
• 6:30
  should
• 6:30
  be
• 6:30
  talking
• 6:31
  about?
• 6:33
  I.
• 6:33
  I
• 6:33
  don't
• 6:33
  remember,
• 6:34
  but
• 6:34
  that
• 6:34
  definitely
• 6:35
  sounds
• 6:35
  like
• 6:35
  something
• 6:35
  I
• 6:35
  would
• 6:36
  say.
• 6:36
  So.
• 6:37
  Yes.
• 6:37
  Yes,
• 6:38
  I
• 6:39
  do.
• 6:39
  I
• 6:39
  think
• 6:39
  I.
• 6:40
  I've
• 6:40
  seen
• 6:41
  the
• 6:41
  PowerPoints.
• 6:42
  It.
• 6:42
  It's
• 6:43
  coming.
• 6:43
  Digital
• 6:44
  twin
• 6:44
  of
• 6:44
  everything.
• 6:46
  And
• 6:46
  maybe
• 6:47
  like,
• 6:47
  just
• 6:47
  as
• 6:47
  a
• 6:47
  little
• 6:48
  throwback,
• 6:49
  I
• 6:49
  was
• 6:50
  in
• 6:50
  IBM
• 6:50
  retail
• 6:51
  consulting
• 6:51
  for
• 6:52
  several
• 6:52
  years,
• 6:53
  and
• 6:53
  I
• 6:53
  remember
• 6:54
  the
• 6:54
  term
• 6:55
  store
• 6:55
  of
• 6:55
  the
• 6:56
  Future.
• 6:57
  And
• 6:57
  somebody
• 6:58
  new
• 6:58
  would
• 6:58
  be
• 6:59
  presenting
• 6:59
  me.
• 6:59
  We're
• 7:00
  going
• 7:00
  to
• 7:00
  do
• 7:00
  this
• 7:00
  thing
• 7:00
  and
• 7:01
  we're
• 7:01
  going
• 7:01
  to
• 7:01
  call
• 7:01
  it
• 7:01
  Store
• 7:01
  of
• 7:02
  the
• 7:02
  Future.
• 7:03
  And
• 7:03
  I
• 7:03
  felt
• 7:03
  like
• 7:03
  I
• 7:03
  was
• 7:03
  in
• 7:03
  the
• 7:04
  movie
• 7:04
  Groundhog's
• 7:05
  Day.
• 7:05
  Like,
• 7:06
  how
• 7:06
  many
• 7:06
  times
• 7:06
  have
• 7:06
  you
• 7:07
  heard
• 7:07
  Story
• 7:07
  of
• 7:07
  the
• 7:07
  Future
• 7:08
  in
• 7:08
  your
• 7:08
  career.
• 7:08
  Right.
• 7:09
  Like,
• 7:09
  so
• 7:09
  I
• 7:10
  was
• 7:10
  like,
• 7:10
  is
• 7:10
  this
• 7:10
  really,
• 7:11
  is
• 7:11
  this
• 7:11
  a
• 7:11
  real
• 7:11
  presentation
• 7:12
  or
• 7:12
  am
• 7:12
  I
• 7:12
  being
• 7:12
  punked?
• 7:13
  Digital
• 7:14
  Twin
• 7:14
  is
• 7:14
  just
• 7:15
  starting,
• 7:15
  but
• 7:16
  I
• 7:16
  think
• 7:16
  you're
• 7:16
  gonna
• 7:17
  feel
• 7:17
  that
• 7:17
  in
• 7:18
  the
• 7:18
  next
• 7:18
  two
• 7:19
  to
• 7:19
  three
• 7:19
  years.
• 7:19
  I
• 7:20
  think
• 7:20
  it's
• 7:20
  a
• 7:20
  good
• 7:20
  thing,
• 7:21
  but
• 7:22
  it's
• 7:22
  gonna
• 7:22
  be
• 7:22
  a
• 7:22
  very
• 7:23
  well
• 7:24
  worn
• 7:24
  term.
• 7:25
  So
• 7:25
  sorting
• 7:26
  out,
• 7:27
  what
• 7:27
  does
• 7:27
  that
• 7:27
  mean
• 7:27
  for
• 7:28
  me
• 7:28
  in
• 7:28
  the
• 7:28
  retail
• 7:29
  business
• 7:30
  is
• 7:31
  what
• 7:31
  I
• 7:31
  would,
• 7:32
  I
• 7:32
  would
• 7:32
  say
• 7:32
  people,
• 7:32
  people
• 7:33
  have
• 7:33
  to
• 7:33
  do.
• 7:33
  So
• 7:34
  figure
• 7:34
  out
• 7:34
  what
• 7:34
  companies
• 7:34
  mean,
• 7:35
  who's
• 7:35
  telling
• 7:36
  something
• 7:36
  really
• 7:36
  interesting
• 7:37
  and
• 7:37
  who's
• 7:37
  not.
• 7:38
  The
• 7:38
  idea
• 7:38
  is
• 7:39
  it's
• 7:39
  a,
• 7:39
  it's
• 7:39
  a
• 7:40
  duplicate
• 7:40
  copy
• 7:40
  of
• 7:41
  your
• 7:41
  store,
• 7:41
  a
• 7:41
  digital
• 7:41
  duplicate
• 7:42
  copy
• 7:42
  of
• 7:43
  your
• 7:43
  store.
• 7:43
  But
• 7:44
  what
• 7:44
  everybody
• 7:44
  who's
• 7:45
  providing
• 7:45
  those,
• 7:46
  that
• 7:46
  software,
• 7:47
  that
• 7:47
  service
• 7:48
  has
• 7:48
  a
• 7:48
  different
• 7:49
  meaning
• 7:49
  for
• 7:49
  what
• 7:50
  that
• 7:50
  is.
• 7:51
  So
• 7:51
  it's
• 7:51
  a,
• 7:51
  it
• 7:51
  could
• 7:52
  be
• 7:52
  a
• 7:52
  buzzword
• 7:53
  or
• 7:53
  it
• 7:53
  could
• 7:54
  be
• 7:54
  something
• 7:54
  really
• 7:54
  innovative.
• 7:56
  So
• 7:56
  the
• 7:56
  real
• 7:56
  question
• 7:56
  is,
• 7:58
  does
• 7:58
  it
• 7:58
  deserve
• 7:59
  that
• 7:59
  level
• 7:59
  of
• 7:59
  attention?
• 8:00
  So
• 8:01
  is
• 8:02
  it
• 8:02
  a
• 8:02
  concept
• 8:02
  or
• 8:03
  is
• 8:03
  it
• 8:03
  something
• 8:03
  real?
• 8:03
  What
• 8:04
  we
• 8:04
  would
• 8:04
  do,
• 8:05
  we,
• 8:06
  we're
• 8:06
  thinking
• 8:06
  of
• 8:06
  it
• 8:06
  in
• 8:07
  terms
• 8:07
  of
• 8:07
  a
• 8:07
  mirror
• 8:08
  of
• 8:08
  your
• 8:08
  store.
• 8:09
  So
• 8:09
  what
• 8:09
  my
• 8:10
  store
• 8:10
  look
• 8:10
  like
• 8:11
  today,
• 8:11
  the
• 8:11
  merchandising,
• 8:12
  the
• 8:12
  physical
• 8:13
  inventory,
• 8:14
  the
• 8:14
  human
• 8:15
  traffic,
• 8:15
  bringing
• 8:16
  that
• 8:16
  all
• 8:16
  into
• 8:17
  an
• 8:17
  operating
• 8:18
  platform
• 8:18
  that
• 8:19
  advises
• 8:19
  the
• 8:20
  associates
• 8:20
  or
• 8:20
  the
• 8:21
  executives
• 8:22
  at
• 8:22
  the
• 8:22
  home
• 8:22
  office
• 8:23
  of
• 8:23
  what's
• 8:23
  happening
• 8:24
  in
• 8:24
  that
• 8:24
  store.
• 8:25
  So
• 8:25
  imagine
• 8:25
  not
• 8:26
  having
• 8:26
  to
• 8:26
  fly
• 8:26
  to
• 8:27
  every
• 8:27
  store
• 8:27
  to
• 8:28
  figure
• 8:28
  out
• 8:28
  what's
• 8:28
  happening
• 8:29
  in
• 8:29
  there
• 8:29
  and
• 8:29
  sending
• 8:30
  teams
• 8:30
  out,
• 8:30
  what
• 8:30
  does
• 8:31
  the
• 8:31
  store
• 8:31
  look
• 8:31
  like
• 8:31
  today?
• 8:32
  Why
• 8:32
  did
• 8:32
  whatever
• 8:33
  happened
• 8:33
  yesterday
• 8:34
  happen?
• 8:35
  Are
• 8:36
  things
• 8:36
  in
• 8:36
  the
• 8:36
  right
• 8:36
  place
• 8:37
  and
• 8:37
  stuff
• 8:37
  like
• 8:37
  that?
• 8:38
  So
• 8:38
  that's
• 8:38
  how
• 8:38
  we
• 8:39
  think
• 8:39
  of
• 8:39
  it,
• 8:39
  as
• 8:39
  a
• 8:39
  digital
• 8:40
  mirror.
• 8:40
  We're
• 8:41
  trying
• 8:41
  to
• 8:41
  come
• 8:41
  up
• 8:41
  with
• 8:42
  the,
• 8:42
  the
• 8:42
  right
• 8:42
  term
• 8:43
  because
• 8:43
  I
• 8:43
  think
• 8:43
  everybody's
• 8:44
  going
• 8:44
  to
• 8:44
  say
• 8:44
  digital
• 8:44
  twin,
• 8:45
  but
• 8:45
  it
• 8:45
  might
• 8:45
  mean
• 8:46
  something
• 8:46
  different
• 8:47
  to
• 8:47
  everybody.
• 8:48
  And
• 8:48
  then
• 8:48
  AI,
• 8:50
  everything
• 8:50
  is
• 8:50
  AI
• 8:51
  story,
• 8:51
  retail
• 8:52
  AI,
• 8:53
  you
• 8:53
  know,
• 8:54
  so
• 8:54
  what
• 8:54
  does
• 8:54
  it
• 8:54
  mean
• 8:55
  and
• 8:55
  how
• 8:55
  is
• 8:55
  it
• 8:56
  grounded
• 8:56
  in
• 8:57
  helping
• 8:57
  the
• 8:57
  store
• 8:57
  associate
• 8:58
  or
• 8:58
  the
• 8:58
  customer
• 8:59
  navigate
• 8:59
  the
• 9:00
  store
• 9:01
  each
• 9:01
  and
• 9:01
  every
• 9:01
  day?
• 9:01
  So
• 9:01
  that's
• 9:02
  why
• 9:02
  I
• 9:02
  made
• 9:02
  that
• 9:03
  comment.
• 9:03
  You
• 9:03
  know,
• 9:03
  we're
• 9:04
  doing
• 9:04
  it,
• 9:04
  we're
• 9:04
  doing
• 9:05
  digital
• 9:05
  twins.
• 9:05
  So
• 9:06
  I
• 9:06
  can't
• 9:06
  make
• 9:06
  fun
• 9:06
  of
• 9:06
  it
• 9:06
  too
• 9:07
  much
• 9:07
  because
• 9:07
  it's
• 9:07
  what
• 9:07
  we're
• 9:07
  doing.
• 9:08
  But
• 9:08
  I
• 9:08
  do
• 9:08
  think
• 9:08
  it's
• 9:09
  going
• 9:09
  to
• 9:09
  be
• 9:09
  all
• 9:10
  over
• 9:10
  like
• 9:10
  say
• 9:11
  NRF
• 9:12
  this
• 9:12
  year.
• 9:12
  So
• 9:12
  you
• 9:13
  have
• 9:13
  to
• 9:13
  sort
• 9:13
  through
• 9:13
  what
• 9:13
  does
• 9:14
  this
• 9:14
  company
• 9:14
  mean
• 9:15
  when
• 9:15
  they
• 9:15
  say
• 9:15
  digital
• 9:16
  Twin.
• 9:17
  Yeah,
• 9:17
  I
• 9:17
  mean
• 9:17
  I
• 9:17
  think
• 9:17
  it
• 9:18
  gets,
• 9:18
  this
• 9:18
  gets
• 9:18
  back
• 9:19
  to
• 9:20
  the
• 9:20
  digital
• 9:20
  mirror
• 9:21
  concept,
• 9:21
  gets
• 9:21
  back
• 9:21
  to
• 9:22
  me
• 9:22
  of
• 9:22
  like
• 9:22
  a
• 9:23
  store
• 9:23
  being
• 9:23
  awake
• 9:24
  or
• 9:24
  alive
• 9:24
  or
• 9:25
  responsive
• 9:25
  versus
• 9:26
  when
• 9:26
  I
• 9:26
  think
• 9:26
  digital
• 9:27
  Twin,
• 9:27
  I
• 9:27
  think
• 9:27
  like
• 9:28
  it's
• 9:28
  a
• 9:28
  copy
• 9:29
  to
• 9:29
  play
• 9:29
  around
• 9:29
  with,
• 9:30
  not
• 9:30
  like
• 9:30
  the
• 9:30
  live
• 9:31
  interaction
• 9:32
  of
• 9:32
  what's
• 9:32
  going
• 9:32
  on
• 9:33
  in
• 9:33
  the
• 9:33
  current
• 9:34
  store
• 9:34
  environment
• 9:35
  is.
• 9:36
  Is
• 9:36
  there
• 9:36
  an
• 9:37
  example,
• 9:37
  Troy,
• 9:38
  that
• 9:38
  you
• 9:38
  have
• 9:39
  of
• 9:39
  like
• 9:40
  a
• 9:41
  client
• 9:41
  that
• 9:41
  you're
• 9:42
  working
• 9:42
  on
• 9:42
  that
• 9:42
  you
• 9:42
  feel
• 9:42
  like
• 9:43
  is
• 9:43
  using
• 9:43
  Digital
• 9:44
  Twin
• 9:44
  in
• 9:45
  the
• 9:45
  right
• 9:45
  way?
• 9:45
  And
• 9:46
  you
• 9:46
  don't
• 9:46
  have
• 9:46
  to
• 9:46
  say
• 9:46
  the
• 9:46
  name
• 9:47
  specifically,
• 9:47
  but
• 9:48
  just
• 9:48
  so
• 9:48
  that
• 9:48
  the
• 9:48
  audience,
• 9:49
  I
• 9:49
  think,
• 9:49
  can
• 9:49
  grasp
• 9:50
  like
• 9:50
  the
• 9:51
  types
• 9:51
  of
• 9:51
  information
• 9:52
  really
• 9:52
  that.
• 9:52
  That
• 9:53
  they're
• 9:53
  being.
• 9:54
  They're
• 9:54
  gathering
• 9:54
  or
• 9:54
  that
• 9:55
  they're
• 9:55
  being
• 9:55
  able.
• 9:55
  To
• 9:56
  act
• 9:56
  on.
• 9:58
  In
• 9:58
  what
• 9:59
  I
• 9:59
  would
• 9:59
  say
• 9:59
  is
• 9:59
  like
• 10:00
  in
• 10:00
  the
• 10:00
  lab.
• 10:01
  So,
• 10:01
  yeah,
• 10:01
  no,
• 10:01
  nobody
• 10:02
  that
• 10:02
  I
• 10:02
  would
• 10:02
  name,
• 10:02
  but
• 10:03
  in
• 10:03
  the.
• 10:04
  The
• 10:04
  quote
• 10:04
  unquote
• 10:05
  lab.
• 10:05
  What
• 10:06
  we're
• 10:06
  talking
• 10:06
  about
• 10:07
  in
• 10:07
  testing.
• 10:09
  With
• 10:10
  some
• 10:10
  of
• 10:10
  these
• 10:11
  companies
• 10:11
  is
• 10:12
  the
• 10:12
  concept
• 10:13
  of,
• 10:14
  okay,
• 10:15
  here's
• 10:15
  our
• 10:15
  store
• 10:15
  format.
• 10:16
  Or
• 10:16
  some
• 10:16
  store,
• 10:17
  like
• 10:17
  some
• 10:18
  retailer
• 10:18
  might
• 10:18
  have
• 10:19
  four
• 10:19
  store
• 10:19
  formats.
• 10:21
  What
• 10:21
  happens
• 10:22
  now?
• 10:22
  We
• 10:22
  have
• 10:22
  a
• 10:23
  digital
• 10:23
  copy
• 10:23
  of
• 10:23
  the
• 10:24
  store.
• 10:24
  What
• 10:25
  happens
• 10:25
  if
• 10:25
  we
• 10:25
  change
• 10:26
  this?
• 10:27
  Using
• 10:27
  trends
• 10:28
  stuff
• 10:29
  coming
• 10:29
  in
• 10:29
  from
• 10:30
  different
• 10:30
  insights
• 10:31
  from
• 10:31
  the
• 10:31
  Internet,
• 10:32
  right.
• 10:32
  Weather
• 10:33
  patterns,
• 10:35
  you
• 10:35
  know,
• 10:35
  TikTok,
• 10:36
  whatever,
• 10:36
  whatever
• 10:37
  it
• 10:37
  might
• 10:37
  be.
• 10:37
  Here's
• 10:38
  a
• 10:38
  suggested
• 10:39
  small
• 10:39
  change
• 10:39
  we
• 10:40
  make.
• 10:40
  What
• 10:40
  would
• 10:40
  that
• 10:40
  look
• 10:41
  like?
• 10:41
  You
• 10:41
  can
• 10:41
  process
• 10:42
  it
• 10:42
  and
• 10:42
  do
• 10:42
  a
• 10:42
  B
• 10:43
  testing
• 10:44
  with
• 10:45
  a
• 10:45
  digital
• 10:45
  twin
• 10:45
  and
• 10:46
  say,
• 10:46
  how
• 10:46
  much
• 10:46
  would
• 10:46
  that
• 10:47
  change?
• 10:47
  Would
• 10:47
  that
• 10:47
  move
• 10:47
  the
• 10:48
  needle?
• 10:48
  Would
• 10:48
  that
• 10:48
  raise
• 10:48
  it?
• 10:49
  So
• 10:49
  that's
• 10:49
  where
• 10:50
  it'll
• 10:50
  really
• 10:51
  come
• 10:51
  in
• 10:51
  to
• 10:52
  help
• 10:52
  merchandisers
• 10:53
  and
• 10:53
  store
• 10:53
  operators
• 10:54
  figure
• 10:54
  out
• 10:55
  whatever
• 10:55
  this
• 10:55
  change
• 10:56
  is
• 10:56
  that
• 10:56
  we
• 10:56
  want
• 10:57
  to
• 10:57
  do,
• 10:57
  what
• 10:57
  would
• 10:57
  it
• 10:57
  do
• 10:57
  to
• 10:58
  our
• 10:58
  store?
• 10:58
  And
• 10:59
  start
• 10:59
  profiling
• 11:00
  that,
• 11:00
  then
• 11:00
  seeing
• 11:01
  how
• 11:01
  good
• 11:01
  that
• 11:01
  profile
• 11:02
  was.
• 11:04
  Did
• 11:04
  what
• 11:04
  it
• 11:05
  said
• 11:05
  it
• 11:05
  would
• 11:05
  do
• 11:06
  in
• 11:06
  our
• 11:06
  experiment,
• 11:07
  Digital
• 11:08
  experiment
• 11:08
  happen
• 11:09
  in
• 11:09
  real
• 11:09
  life?
• 11:09
  If
• 11:10
  it
• 11:10
  did,
• 11:10
  now
• 11:10
  we
• 11:11
  can
• 11:11
  start
• 11:11
  to
• 11:11
  build
• 11:11
  a
• 11:11
  model
• 11:12
  and
• 11:12
  build
• 11:13
  a
• 11:13
  model
• 11:13
  more
• 11:14
  and
• 11:14
  more.
• 11:14
  So
• 11:14
  I
• 11:15
  think
• 11:15
  that
• 11:15
  a
• 11:15
  B
• 11:16
  testing
• 11:17
  using
• 11:17
  AI
• 11:18
  is
• 11:18
  going
• 11:18
  to
• 11:18
  be
• 11:18
  really
• 11:19
  helpful,
• 11:19
  especially
• 11:20
  to
• 11:20
  the
• 11:20
  merchants
• 11:20
  and,
• 11:21
  you
• 11:21
  know,
• 11:21
  maybe
• 11:22
  the
• 11:22
  store
• 11:22
  operators
• 11:22
  too.
• 11:24
  Got
• 11:24
  it.
• 11:24
  So.
• 11:25
  So,
• 11:25
  Troy,
• 11:25
  circle
• 11:26
  back
• 11:26
  for
• 11:26
  me
• 11:26
  then,
• 11:26
  because
• 11:26
  we
• 11:26
  started
• 11:27
  this
• 11:27
  conversation
• 11:27
  out
• 11:27
  on
• 11:28
  store
• 11:28
  digitization.
• 11:28
  Then
• 11:29
  we
• 11:29
  talked
• 11:29
  about
• 11:29
  digital
• 11:30
  twins.
• 11:31
  How
• 11:31
  does
• 11:32
  Digital
• 11:32
  Twin
• 11:33
  fit
• 11:33
  into
• 11:33
  the
• 11:33
  concept
• 11:34
  of
• 11:34
  store
• 11:35
  digitization?
• 11:36
  Are
• 11:36
  they
• 11:37
  separate
• 11:37
  ideas?
• 11:38
  Are
• 11:38
  they
• 11:38
  complementary
• 11:39
  ideas?
• 11:39
  Can
• 11:40
  you
• 11:40
  do
• 11:40
  one
• 11:40
  without
• 11:40
  the
• 11:41
  other?
• 11:41
  How
• 11:41
  do
• 11:42
  you
• 11:42
  think
• 11:42
  of
• 11:42
  that
• 11:42
  landscape?
• 11:43
  There's
• 11:43
  there.
• 11:44
  We
• 11:44
  think
• 11:45
  of
• 11:45
  them
• 11:45
  as
• 11:45
  tied
• 11:45
  completely
• 11:46
  together.
• 11:47
  So
• 11:48
  if
• 11:48
  you.
• 11:49
  Again,
• 11:49
  I
• 11:49
  like
• 11:49
  to
• 11:50
  ground
• 11:50
  it
• 11:50
  in
• 11:50
  reality
• 11:51
  because
• 11:51
  you
• 11:51
  start
• 11:51
  talking
• 11:52
  tech
• 11:52
  and
• 11:52
  you
• 11:52
  get
• 11:52
  up
• 11:52
  into
• 11:53
  this
• 11:54
  sphere
• 11:54
  where
• 11:54
  nobody's
• 11:55
  understanding
• 11:55
  what
• 11:56
  we're.
• 11:56
  What
• 11:56
  we
• 11:56
  mean.
• 11:57
  But
• 11:57
  when
• 11:57
  you
• 11:57
  walk
• 11:58
  into
• 11:58
  a
• 11:58
  store
• 11:59
  and
• 11:59
  they.
• 12:00
  And
• 12:00
  you're
• 12:00
  looking
• 12:00
  for
• 12:01
  something
• 12:01
  and
• 12:02
  they
• 12:02
  don't
• 12:02
  have
• 12:03
  your
• 12:03
  size.
• 12:04
  So
• 12:04
  let's
• 12:04
  say
• 12:05
  for
• 12:05
  me,
• 12:05
  it's
• 12:05
  a
• 12:06
  medium,
• 12:07
  right?
• 12:07
  Well,
• 12:07
  I'm
• 12:08
  walking
• 12:08
  down
• 12:08
  the
• 12:08
  store.
• 12:09
  It's
• 12:09
  an
• 12:09
  empty
• 12:09
  spot
• 12:09
  in
• 12:10
  the
• 12:10
  store.
• 12:10
  There's
• 12:10
  no
• 12:10
  help
• 12:11
  there.
• 12:11
  And
• 12:12
  I
• 12:12
  look
• 12:12
  through
• 12:12
  the
• 12:12
  rack.
• 12:13
  And
• 12:13
  my
• 12:13
  size
• 12:14
  isn't
• 12:14
  there.
• 12:14
  There's
• 12:14
  a
• 12:14
  bunch
• 12:15
  of
• 12:15
  different
• 12:15
  colors.
• 12:16
  The
• 12:16
  product
• 12:16
  is
• 12:17
  there,
• 12:17
  but
• 12:18
  my
• 12:18
  size
• 12:18
  isn't
• 12:19
  there.
• 12:20
  And
• 12:20
  if
• 12:20
  you
• 12:20
  have
• 12:21
  a
• 12:21
  digital
• 12:21
  twin
• 12:21
  of
• 12:22
  the
• 12:22
  store,
• 12:22
  if
• 12:22
  you
• 12:22
  know
• 12:23
  that
• 12:24
  there's
• 12:24
  people
• 12:24
  in
• 12:24
  your
• 12:25
  store,
• 12:25
  they're
• 12:26
  not
• 12:26
  finding
• 12:26
  something,
• 12:26
  they're
• 12:27
  gazing
• 12:27
  at
• 12:27
  something
• 12:28
  that
• 12:28
  there's
• 12:29
  inventory
• 12:29
  missing.
• 12:30
  And
• 12:31
  you
• 12:31
  have
• 12:31
  these
• 12:31
  signals,
• 12:32
  you
• 12:32
  have
• 12:32
  this
• 12:32
  twin,
• 12:33
  right?
• 12:34
  You're
• 12:34
  more
• 12:34
  informed.
• 12:35
  It
• 12:36
  might
• 12:36
  automatically
• 12:37
  suggest
• 12:38
  that
• 12:38
  the
• 12:38
  associate
• 12:39
  go
• 12:39
  help
• 12:39
  that
• 12:39
  person.
• 12:40
  They're
• 12:40
  looking
• 12:41
  at
• 12:41
  those
• 12:41
  blue
• 12:41
  shirts,
• 12:42
  but
• 12:42
  they
• 12:42
  keep
• 12:42
  picking
• 12:43
  things
• 12:43
  up
• 12:43
  and
• 12:43
  setting
• 12:44
  them
• 12:44
  down.
• 12:45
  So
• 12:45
  think
• 12:45
  cameras,
• 12:46
  think
• 12:46
  RFID
• 12:47
  inventory.
• 12:48
  All
• 12:48
  these
• 12:48
  things
• 12:49
  will
• 12:49
  feed
• 12:49
  information
• 12:50
  to
• 12:50
  say,
• 12:51
  this
• 12:51
  is
• 12:51
  the
• 12:51
  guy
• 12:51
  you
• 12:52
  got
• 12:52
  to
• 12:52
  go
• 12:52
  help
• 12:53
  right
• 12:53
  now,
• 12:53
  you
• 12:54
  know,
• 12:54
  and
• 12:54
  alert
• 12:54
  somebody,
• 12:55
  create
• 12:55
  a
• 12:55
  task,
• 12:56
  or
• 12:57
  better
• 12:57
  yet,
• 12:57
  replenish
• 12:58
  that
• 12:58
  item
• 12:58
  before
• 12:58
  he
• 12:59
  gets
• 12:59
  there
• 13:01
  to
• 13:01
  buy
• 13:01
  that
• 13:02
  item.
• 13:02
  So
• 13:02
  we
• 13:02
  think
• 13:02
  it's
• 13:03
  hand
• 13:03
  in
• 13:03
  hand.
• 13:04
  I
• 13:04
  mean,
• 13:04
  you
• 13:04
  can
• 13:04
  really
• 13:05
  think
• 13:05
  futuristically.
• 13:06
  You
• 13:06
  tie
• 13:06
  in
• 13:07
  robots
• 13:07
  into
• 13:07
  this
• 13:08
  night.
• 13:08
  Robots.
• 13:09
  If
• 13:09
  you
• 13:09
  don't
• 13:09
  want
• 13:10
  robots
• 13:10
  when
• 13:11
  customers
• 13:11
  are
• 13:11
  there,
• 13:12
  there's
• 13:12
  a
• 13:12
  lot
• 13:12
  of
• 13:12
  ways
• 13:13
  that
• 13:13
  you
• 13:13
  would
• 13:13
  have
• 13:13
  to
• 13:13
  have
• 13:13
  a
• 13:14
  map,
• 13:15
  a
• 13:15
  digital
• 13:15
  map.
• 13:16
  Fixtures,
• 13:17
  ceiling,
• 13:18
  floor.
• 13:18
  What
• 13:19
  does
• 13:19
  this
• 13:19
  place
• 13:19
  look
• 13:19
  like?
• 13:20
  Inventory.
• 13:20
  All
• 13:21
  that
• 13:21
  is
• 13:21
  part
• 13:22
  of
• 13:22
  that
• 13:22
  digital
• 13:22
  mirror.
• 13:23
  Digital
• 13:23
  twin
• 13:24
  of
• 13:24
  the
• 13:24
  store.
• 13:24
  Troy,
• 13:25
  the
• 13:25
  other
• 13:25
  question
• 13:25
  I
• 13:25
  have
• 13:25
  too,
• 13:26
  that
• 13:26
  you
• 13:26
  want.
• 13:26
  I
• 13:26
  want
• 13:27
  to
• 13:27
  make
• 13:27
  sure
• 13:27
  we're
• 13:27
  clear
• 13:27
  for
• 13:27
  the
• 13:27
  audience
• 13:28
  to.
• 13:28
  The
• 13:28
  necessary
• 13:29
  condition
• 13:29
  for
• 13:30
  this
• 13:30
  complimentary
• 13:32
  relationship
• 13:33
  to
• 13:33
  exist,
• 13:33
  however,
• 13:34
  is
• 13:34
  the
• 13:34
  system
• 13:35
  of
• 13:35
  recording
• 13:36
  devices
• 13:36
  and
• 13:36
  technologies
• 13:37
  that
• 13:37
  you
• 13:37
  have
• 13:38
  deployed
• 13:38
  in
• 13:38
  the
• 13:39
  store.
• 13:39
  Because.
• 13:39
  Am
• 13:40
  I
• 13:40
  right
• 13:40
  in
• 13:40
  saying
• 13:40
  that?
• 13:40
  Because
• 13:40
  without
• 13:41
  that,
• 13:41
  then
• 13:42
  the
• 13:42
  digital
• 13:42
  twin.
• 13:43
  Can
• 13:43
  the
• 13:43
  digital
• 13:43
  twin
• 13:44
  exist
• 13:44
  without
• 13:44
  that
• 13:45
  or
• 13:45
  not?
• 13:45
  It
• 13:46
  depends
• 13:46
  on
• 13:47
  your
• 13:48
  definition
• 13:48
  of
• 13:48
  that
• 13:48
  digital
• 13:49
  twin,
• 13:49
  but
• 13:49
  I
• 13:49
  don't
• 13:49
  think
• 13:50
  so.
• 13:50
  I
• 13:50
  think
• 13:50
  you
• 13:50
  need
• 13:50
  a
• 13:51
  platform
• 13:51
  that
• 13:51
  pulls
• 13:51
  it
• 13:51
  all
• 13:52
  together
• 13:52
  or
• 13:52
  it's
• 13:52
  too
• 13:53
  complicated.
• 13:54
  And
• 13:54
  then
• 13:54
  a
• 13:54
  lot
• 13:54
  of
• 13:54
  these
• 13:55
  companies,
• 13:55
  even
• 13:55
  the
• 13:55
  really
• 13:56
  good
• 13:56
  tech
• 13:57
  savvy
• 13:58
  retailers,
• 13:58
  they
• 13:59
  like
• 13:59
  to
• 13:59
  do
• 13:59
  their
• 13:59
  own
• 14:00
  labs
• 14:00
  and
• 14:00
  their
• 14:00
  own
• 14:01
  experiments,
• 14:02
  which
• 14:03
  is
• 14:03
  cool
• 14:04
  because
• 14:04
  it's
• 14:04
  fun
• 14:04
  to
• 14:05
  work
• 14:05
  with
• 14:05
  those
• 14:05
  companies
• 14:06
  because
• 14:06
  they're
• 14:06
  willing
• 14:06
  to
• 14:06
  try
• 14:07
  things,
• 14:08
  fail
• 14:08
  fast,
• 14:08
  and
• 14:09
  then
• 14:09
  fix
• 14:10
  it.
• 14:11
  But
• 14:12
  the
• 14:12
  only
• 14:13
  way
• 14:13
  it
• 14:13
  really
• 14:13
  comes
• 14:14
  together
• 14:14
  is
• 14:14
  if
• 14:15
  you
• 14:15
  unify
• 14:15
  all
• 14:15
  that
• 14:16
  data
• 14:16
  in
• 14:16
  some
• 14:17
  kind
• 14:17
  of
• 14:17
  platform,
• 14:18
  right?
• 14:18
  If
• 14:19
  you
• 14:19
  have
• 14:19
  great
• 14:20
  RFID
• 14:21
  and
• 14:22
  you
• 14:22
  have
• 14:22
  great
• 14:23
  computer
• 14:24
  vision
• 14:24
  on
• 14:25
  something,
• 14:25
  maybe
• 14:25
  it's
• 14:26
  products,
• 14:26
  maybe
• 14:26
  it's
• 14:26
  people,
• 14:27
  but
• 14:27
  you
• 14:28
  don't
• 14:28
  have
• 14:28
  a
• 14:28
  unified
• 14:29
  platform
• 14:30
  to
• 14:30
  pull
• 14:30
  all
• 14:30
  this
• 14:31
  data
• 14:31
  in
• 14:31
  and
• 14:31
  make
• 14:31
  sense
• 14:32
  of
• 14:32
  it
• 14:32
  for
• 14:32
  the
• 14:32
  associates.
• 14:33
  Then
• 14:34
  you
• 14:34
  just
• 14:34
  got
• 14:34
  a
• 14:35
  bunch
• 14:35
  of
• 14:35
  sort
• 14:36
  of
• 14:36
  science
• 14:36
  experiments
• 14:37
  side
• 14:37
  by
• 14:37
  side.
• 14:38
  And
• 14:38
  some
• 14:39
  of
• 14:39
  them
• 14:39
  come
• 14:39
  to
• 14:39
  that
• 14:39
  realization.
• 14:40
  They
• 14:40
  do
• 14:41
  the
• 14:41
  fun
• 14:41
  testing,
• 14:42
  they
• 14:42
  do
• 14:42
  the
• 14:42
  pilots,
• 14:43
  and
• 14:43
  then
• 14:43
  they
• 14:43
  come
• 14:43
  back
• 14:43
  and
• 14:43
  go,
• 14:44
  all
• 14:44
  right,
• 14:44
  I
• 14:44
  don't
• 14:45
  Know
• 14:45
  how
• 14:45
  to
• 14:45
  turn
• 14:45
  this
• 14:45
  into
• 14:46
  something
• 14:46
  actionable
• 14:46
  across
• 14:47
  the
• 14:48
  whole
• 14:48
  store.
• 14:48
  I'm
• 14:49
  glad
• 14:49
  I
• 14:49
  asked
• 14:49
  because,
• 14:49
  I
• 14:49
  mean,
• 14:50
  I
• 14:50
  can
• 14:50
  remember
• 14:50
  five
• 14:50
  or
• 14:50
  six
• 14:51
  years
• 14:51
  ago,
• 14:51
  we're
• 14:51
  hearing
• 14:52
  a
• 14:52
  lot
• 14:52
  about
• 14:52
  digital
• 14:52
  twins
• 14:53
  and
• 14:53
  them
• 14:53
  almost
• 14:53
  being
• 14:54
  exogenous
• 14:54
  from
• 14:54
  the
• 14:55
  actual
• 14:55
  store
• 14:55
  operation.
• 14:55
  They
• 14:56
  were
• 14:56
  like
• 14:56
  3D
• 14:57
  visual
• 14:57
  maps
• 14:57
  of
• 14:57
  what
• 14:58
  was
• 14:58
  going
• 14:58
  on,
• 14:59
  but
• 14:59
  they
• 14:59
  didn't
• 14:59
  really
• 14:59
  digitize
• 15:00
  your
• 15:00
  understanding
• 15:01
  of
• 15:01
  the
• 15:01
  store
• 15:01
  in
• 15:01
  a
• 15:01
  complimentary
• 15:02
  way
• 15:02
  like
• 15:02
  you
• 15:02
  just
• 15:03
  described.
• 15:03
  So.
• 15:04
  Yeah.
• 15:04
  And
• 15:04
  you
• 15:05
  should
• 15:05
  be
• 15:05
  able
• 15:05
  to
• 15:05
  see
• 15:05
  the
• 15:05
  people,
• 15:06
  the
• 15:07
  products,
• 15:08
  fixtures,
• 15:09
  and
• 15:10
  play
• 15:10
  around
• 15:10
  with
• 15:11
  it.
• 15:11
  Otherwise,
• 15:11
  you
• 15:11
  don't
• 15:12
  really
• 15:12
  have.
• 15:13
  You
• 15:13
  don't
• 15:13
  really
• 15:13
  have
• 15:13
  a
• 15:13
  digital
• 15:14
  twin.
• 15:15
  Right.
• 15:15
  And
• 15:15
  the
• 15:15
  people
• 15:16
  being
• 15:16
  the
• 15:16
  staff
• 15:16
  and
• 15:16
  the
• 15:17
  customers,
• 15:17
  too.
• 15:17
  That's
• 15:18
  right.
• 15:18
  The
• 15:18
  AI
• 15:18
  can
• 15:19
  use
• 15:19
  basic
• 15:19
  cameras
• 15:20
  to
• 15:20
  determine
• 15:21
  who's
• 15:21
  an
• 15:21
  associate
• 15:21
  and
• 15:22
  who's
• 15:22
  a
• 15:23
  customer.
• 15:24
  Right.
• 15:25
  So
• 15:26
  just
• 15:26
  using
• 15:27
  AI,
• 15:27
  it
• 15:28
  can
• 15:28
  go.
• 15:28
  Well,
• 15:28
  this
• 15:28
  person's
• 15:29
  behavior
• 15:29
  is
• 15:29
  a.
• 15:30
  They're
• 15:30
  going
• 15:30
  behind
• 15:31
  the
• 15:31
  counter
• 15:31
  in
• 15:31
  the
• 15:31
  back
• 15:31
  room.
• 15:32
  That's.
• 15:32
  That's
• 15:33
  an
• 15:33
  associate.
• 15:34
  This
• 15:34
  person's
• 15:35
  a
• 15:35
  customer.
• 15:35
  So
• 15:35
  it's
• 15:36
  getting
• 15:36
  pretty
• 15:36
  advanced.
• 15:37
  Let's
• 15:38
  hope,
• 15:38
  anyway.
• 15:38
  Right,
• 15:39
  Troy?
• 15:40
  Yeah,
• 15:40
  yeah,
• 15:41
  that's
• 15:42
  right.
• 15:43
  Hey,
• 15:44
  what's
• 15:44
  he
• 15:45
  doing
• 15:45
  there?
• 15:45
  Yeah,
• 15:46
  right,
• 15:46
  right.
• 15:46
  Which
• 15:47
  is
• 15:47
  probably
• 15:47
  good
• 15:47
  in
• 15:47
  another
• 15:47
  way,
• 15:48
  too.
• 15:49
  All
• 15:49
  right,
• 15:49
  so.
• 15:50
  So,
• 15:50
  you
• 15:50
  know,
• 15:50
  you
• 15:51
  know,
• 15:51
  from
• 15:51
  our
• 15:51
  experience,
• 15:51
  too,
• 15:52
  and
• 15:52
  my
• 15:53
  experience,
• 15:53
  you
• 15:53
  know,
• 15:53
  we've
• 15:54
  seen
• 15:54
  a
• 15:55
  lot
• 15:55
  of
• 15:55
  retailers
• 15:55
  that
• 15:55
  if
• 15:56
  they're
• 15:56
  buying
• 15:56
  into
• 15:56
  this
• 15:56
  concept,
• 15:57
  they're
• 15:57
  generally
• 15:57
  trying
• 15:58
  to
• 15:58
  take
• 15:59
  the
• 15:59
  work
• 15:59
  in
• 15:59
  house
• 16:00
  to
• 16:00
  protect
• 16:01
  their
• 16:01
  data,
• 16:01
  their
• 16:02
  relationships
• 16:02
  with
• 16:02
  their
• 16:02
  clients,
• 16:03
  with
• 16:03
  their
• 16:03
  customers,
• 16:04
  again,
• 16:04
  too,
• 16:04
  potentially.
• 16:05
  But
• 16:06
  how
• 16:06
  should
• 16:06
  they
• 16:07
  be
• 16:07
  thinking
• 16:07
  about
• 16:08
  this
• 16:08
  in
• 16:08
  terms
• 16:08
  of
• 16:09
  when
• 16:09
  and
• 16:09
  where
• 16:10
  to
• 16:10
  partner
• 16:11
  with
• 16:11
  the
• 16:11
  right
• 16:12
  solution
• 16:12
  providers
• 16:12
  that
• 16:13
  make
• 16:13
  the
• 16:13
  most
• 16:13
  sense?
• 16:14
  Yeah,
• 16:14
  so
• 16:14
  I'm
• 16:15
  biased
• 16:15
  because
• 16:16
  now
• 16:16
  I
• 16:16
  work
• 16:16
  at
• 16:17
  a
• 16:17
  software
• 16:17
  company.
• 16:18
  Right.
• 16:18
  And
• 16:19
  so
• 16:19
  clearly
• 16:20
  I.
• 16:20
  I
• 16:21
  have
• 16:21
  a
• 16:21
  point
• 16:21
  of
• 16:21
  view
• 16:21
  that
• 16:22
  they.
• 16:22
  They
• 16:22
  should
• 16:22
  use
• 16:23
  companies
• 16:23
  like
• 16:23
  us,
• 16:24
  but
• 16:24
  I
• 16:24
  understand
• 16:26
  the
• 16:26
  proprietary
• 16:27
  nature
• 16:27
  of
• 16:28
  why
• 16:28
  they
• 16:28
  want
• 16:29
  to
• 16:29
  do
• 16:29
  that.
• 16:29
  They.
• 16:29
  They
• 16:29
  want
• 16:30
  to
• 16:30
  protect
• 16:30
  their
• 16:30
  data.
• 16:31
  They
• 16:32
  want
• 16:32
  to
• 16:32
  keep
• 16:32
  their
• 16:32
  secret
• 16:33
  sauce
• 16:33
  in
• 16:33
  the
• 16:34
  house.
• 16:34
  But
• 16:35
  a
• 16:35
  lot
• 16:35
  of
• 16:35
  what
• 16:36
  we
• 16:36
  do
• 16:36
  and
• 16:37
  companies
• 16:37
  like
• 16:37
  us
• 16:37
  do
• 16:38
  isn't
• 16:39
  secret.
• 16:40
  You
• 16:40
  know,
• 16:40
  where's
• 16:40
  my
• 16:40
  inventory?
• 16:42
  Where
• 16:42
  are
• 16:42
  the
• 16:42
  people?
• 16:45
  Where
• 16:45
  are
• 16:45
  the
• 16:45
  people
• 16:45
  moving
• 16:46
  around?
• 16:46
  What
• 16:47
  insights
• 16:47
  can
• 16:47
  I
• 16:47
  get?
• 16:48
  What
• 16:48
  product
• 16:49
  walked
• 16:49
  out
• 16:49
  without
• 16:50
  a
• 16:50
  POS
• 16:50
  transaction?
• 16:52
  And
• 16:52
  do
• 16:52
  you
• 16:53
  have
• 16:53
  video
• 16:53
  of
• 16:53
  that
• 16:54
  tied
• 16:54
  with
• 16:54
  the
• 16:55
  location
• 16:55
  data
• 16:55
  and
• 16:56
  the
• 16:56
  RFID
• 16:56
  data
• 16:57
  and
• 16:57
  the
• 16:57
  epc,
• 16:59
  which
• 16:59
  is
• 16:59
  the
• 16:59
  unique
• 17:00
  code
• 17:00
  for
• 17:00
  that
• 17:01
  singular
• 17:01
  item
• 17:02
  that
• 17:02
  left.
• 17:04
  I
• 17:04
  just
• 17:05
  don't
• 17:05
  get
• 17:06
  why
• 17:06
  a
• 17:06
  retailer
• 17:07
  would
• 17:07
  want
• 17:08
  to
• 17:08
  build
• 17:09
  all
• 17:09
  that
• 17:10
  R
• 17:10
  D
• 17:11
  to
• 17:11
  tie
• 17:12
  all
• 17:12
  those
• 17:12
  tech
• 17:13
  systems
• 17:13
  together
• 17:14
  in
• 17:14
  a
• 17:14
  platform
• 17:14
  and
• 17:15
  then
• 17:15
  hope
• 17:15
  they
• 17:15
  keep
• 17:15
  up
• 17:16
  with
• 17:16
  the
• 17:16
  tech
• 17:16
  trends.
• 17:17
  It
• 17:18
  seems
• 17:18
  like
• 17:19
  if
• 17:19
  they
• 17:20
  have
• 17:20
  something
• 17:20
  super
• 17:21
  unique
• 17:21
  and
• 17:21
  a
• 17:22
  lot
• 17:22
  of
• 17:22
  them
• 17:22
  do.
• 17:23
  They
• 17:23
  should
• 17:23
  keep
• 17:23
  that
• 17:23
  in
• 17:24
  house,
• 17:25
  but
• 17:25
  find
• 17:25
  a
• 17:26
  partner
• 17:26
  that's
• 17:26
  willing
• 17:26
  to,
• 17:27
  you
• 17:27
  know,
• 17:27
  do
• 17:28
  tech
• 17:28
  with
• 17:28
  you,
• 17:29
  be
• 17:29
  flexible,
• 17:30
  change
• 17:31
  with
• 17:31
  you,
• 17:32
  and,
• 17:32
  you
• 17:32
  know,
• 17:33
  give
• 17:33
  you
• 17:33
  your
• 17:33
  autonomy
• 17:34
  as
• 17:34
  a
• 17:34
  brand
• 17:35
  so
• 17:35
  you
• 17:35
  don't
• 17:36
  affect
• 17:36
  that
• 17:36
  experience.
• 17:37
  I
• 17:38
  mean,
• 17:38
  if
• 17:38
  I'm
• 17:38
  doing
• 17:39
  my
• 17:39
  job
• 17:39
  as
• 17:39
  a
• 17:39
  software
• 17:40
  company,
• 17:40
  you
• 17:40
  don't
• 17:41
  even
• 17:41
  know
• 17:41
  I'm
• 17:41
  in
• 17:41
  the
• 17:41
  store,
• 17:42
  right?
• 17:43
  Unless
• 17:43
  it's
• 17:43
  some
• 17:43
  cool
• 17:44
  thing,
• 17:44
  you
• 17:45
  know,
• 17:45
  that
• 17:45
  it's
• 17:45
  a
• 17:46
  trendy
• 17:46
  thing,
• 17:46
  you
• 17:47
  shouldn't
• 17:47
  even
• 17:47
  know
• 17:47
  I'm
• 17:47
  there.
• 17:48
  It
• 17:48
  should
• 17:48
  just
• 17:48
  be
• 17:48
  a
• 17:48
  better
• 17:49
  store
• 17:49
  experience
• 17:49
  because
• 17:50
  I'm
• 17:50
  there.
• 17:50
  That's.
• 17:51
  That's
• 17:51
  what
• 17:51
  our
• 17:51
  goal
• 17:51
  is.
• 17:52
  So
• 17:52
  I,
• 17:52
  I
• 17:52
  think
• 17:53
  unless
• 17:53
  it's
• 17:54
  your
• 17:54
  secret
• 17:54
  sauce,
• 17:54
  you
• 17:55
  should
• 17:55
  find
• 17:55
  really
• 17:55
  good
• 17:56
  forward
• 17:56
  thinking
• 17:57
  tech
• 17:57
  partners
• 17:58
  that
• 17:58
  can
• 17:58
  kind
• 17:59
  of
• 17:59
  scale
• 17:59
  with
• 17:59
  you
• 17:59
  and
• 18:00
  provide
• 18:00
  you
• 18:00
  tech
• 18:01
  and
• 18:01
  stay
• 18:01
  out
• 18:01
  of
• 18:01
  the
• 18:02
  way.
• 18:03
  You
• 18:04
  know,
• 18:04
  I've
• 18:04
  been
• 18:04
  watching
• 18:04
  a
• 18:04
  lot
• 18:04
  of
• 18:05
  NFL
• 18:05
  football
• 18:05
  lately
• 18:06
  and
• 18:06
  they
• 18:06
  say
• 18:06
  a
• 18:06
  good
• 18:06
  offensive
• 18:07
  lineman
• 18:07
  is
• 18:08
  one
• 18:08
  you
• 18:08
  never
• 18:08
  think
• 18:09
  about
• 18:09
  or
• 18:09
  hear
• 18:09
  their
• 18:10
  name
• 18:10
  on
• 18:10
  the
• 18:10
  broadcast.
• 18:11
  Right.
• 18:11
  Like
• 18:12
  they're
• 18:12
  just
• 18:12
  blocking
• 18:13
  and
• 18:13
  they're
• 18:13
  not
• 18:13
  causing
• 18:13
  trouble
• 18:14
  and
• 18:14
  they're
• 18:14
  not
• 18:14
  getting
• 18:14
  penalties.
• 18:15
  That's
• 18:15
  a
• 18:16
  good
• 18:16
  software
• 18:16
  company,
• 18:17
  right?
• 18:17
  If
• 18:17
  in
• 18:17
  retail,
• 18:18
  at
• 18:18
  least
• 18:19
  in
• 18:19
  retail,
• 18:19
  if
• 18:20
  the
• 18:20
  store
• 18:20
  is
• 18:20
  operating
• 18:21
  great
• 18:21
  and
• 18:21
  it's
• 18:21
  awake,
• 18:22
  you
• 18:23
  know,
• 18:23
  you
• 18:23
  feel
• 18:23
  like
• 18:23
  it's
• 18:24
  not
• 18:24
  a
• 18:24
  sleepy
• 18:24
  store,
• 18:25
  they
• 18:25
  know
• 18:25
  what's
• 18:25
  happening
• 18:26
  in
• 18:26
  here,
• 18:27
  then
• 18:27
  the
• 18:27
  software
• 18:28
  is
• 18:28
  working
• 18:28
  and
• 18:29
  it's
• 18:29
  really
• 18:29
  hard
• 18:30
  for
• 18:30
  them
• 18:30
  to
• 18:30
  do
• 18:30
  that
• 18:30
  in
• 18:31
  house.
• 18:31
  And
• 18:31
  then
• 18:32
  maybe
• 18:32
  they
• 18:32
  make
• 18:32
  the
• 18:33
  perfect
• 18:33
  solution
• 18:33
  in
• 18:33
  house
• 18:34
  with
• 18:34
  software,
• 18:35
  but
• 18:35
  how
• 18:35
  do
• 18:35
  they
• 18:35
  maintain
• 18:36
  it
• 18:36
  and
• 18:36
  then
• 18:36
  upgrade
• 18:37
  it
• 18:37
  and
• 18:38
  stay
• 18:38
  ahead
• 18:38
  of
• 18:38
  the
• 18:39
  trends?
• 18:39
  You
• 18:40
  know,
• 18:40
  if
• 18:40
  I
• 18:40
  fall
• 18:40
  behind,
• 18:41
  they
• 18:41
  can
• 18:41
  drop
• 18:41
  me
• 18:42
  as
• 18:42
  a
• 18:42
  software
• 18:43
  accomplice.
• 18:43
  Really?
• 18:44
  Yeah,
• 18:44
  it's
• 18:44
  really
• 18:44
  hard
• 18:45
  to
• 18:45
  do
• 18:45
  that
• 18:45
  when
• 18:45
  it's
• 18:45
  internally.
• 18:47
  Yeah.
• 18:47
  Yeah,
• 18:47
  they
• 18:48
  can
• 18:48
  get
• 18:48
  you
• 18:48
  to
• 18:48
  compete.
• 18:49
  Yeah,
• 18:49
  they
• 18:49
  can
• 18:49
  even
• 18:50
  just
• 18:50
  get
• 18:50
  you
• 18:50
  to
• 18:50
  compete
• 18:50
  with
• 18:51
  each
• 18:51
  other
• 18:51
  too.
• 18:51
  Yeah.
• 18:52
  Troy,
• 18:52
  how
• 18:52
  are
• 18:52
  you
• 18:52
  seeing
• 18:53
  the
• 18:53
  leaders
• 18:54
  then
• 18:54
  of
• 18:54
  these
• 18:55
  teams
• 18:55
  internally?
• 18:56
  Because
• 18:56
  it's
• 18:56
  one
• 18:56
  thing
• 18:56
  to
• 18:57
  make
• 18:58
  the
• 18:58
  decision
• 18:58
  to,
• 18:59
  you
• 18:59
  know,
• 18:59
  have
• 18:59
  one
• 19:00
  platform
• 19:01
  managing
• 19:01
  all
• 19:02
  the
• 19:02
  point
• 19:02
  solutions
• 19:03
  as
• 19:03
  you're
• 19:03
  working
• 19:04
  on
• 19:04
  digitizing
• 19:04
  your
• 19:05
  store.
• 19:05
  But
• 19:05
  how,
• 19:06
  how
• 19:06
  are
• 19:07
  you
• 19:07
  seeing
• 19:07
  like
• 19:08
  what
• 19:08
  maybe
• 19:09
  used
• 19:09
  to
• 19:09
  fall
• 19:10
  into
• 19:10
  the
• 19:10
  store
• 19:11
  ops
• 19:11
  team
• 19:12
  and
• 19:12
  the
• 19:12
  CTO
• 19:13
  or
• 19:13
  CIO's
• 19:14
  role?
• 19:15
  How
• 19:15
  are
• 19:15
  you
• 19:15
  seeing
• 19:15
  that
• 19:16
  kind
• 19:16
  of
• 19:16
  expand
• 19:17
  now
• 19:17
  across
• 19:17
  the
• 19:18
  organization
• 19:19
  as
• 19:19
  they're
• 19:20
  digitizing
• 19:20
  their
• 19:21
  stores?
• 19:21
  You've
• 19:21
  done
• 19:22
  40,000
• 19:23
  deployments
• 19:24
  of
• 19:24
  these
• 19:25
  stores.
• 19:25
  Like,
• 19:26
  how
• 19:26
  are
• 19:26
  you
• 19:26
  seeing
• 19:27
  that
• 19:28
  shift
• 19:28
  happen
• 19:29
  as
• 19:30
  they're
• 19:30
  bringing
• 19:30
  in
• 19:31
  new
• 19:31
  partners
• 19:31
  and
• 19:32
  trying
• 19:32
  to
• 19:33
  really
• 19:34
  help
• 19:34
  the
• 19:34
  organization
• 19:35
  grasp,
• 19:35
  like
• 19:36
  this
• 19:36
  is
• 19:36
  not
• 19:36
  just
• 19:37
  a
• 19:37
  CIO
• 19:38
  or
• 19:38
  a
• 19:38
  CTO's
• 19:39
  responsibility.
• 19:39
  This
• 19:40
  is
• 19:40
  really
• 19:40
  going
• 19:40
  to
• 19:41
  impact
• 19:42
  all
• 19:43
  of
• 19:43
  the
• 19:43
  verticals
• 19:44
  within
• 19:44
  our
• 19:44
  organization.
• 19:45
  It's
• 19:45
  interesting
• 19:46
  from
• 19:47
  the
• 19:47
  stuff
• 19:48
  we
• 19:48
  do.
• 19:48
  I'm
• 19:48
  sure
• 19:49
  other
• 19:49
  companies
• 19:49
  would
• 19:50
  have
• 19:50
  a
• 19:50
  different
• 19:50
  point
• 19:50
  of
• 19:51
  view,
• 19:51
  but
• 19:51
  the
• 19:51
  stuff
• 19:51
  that
• 19:52
  we
• 19:52
  do
• 19:52
  is
• 19:52
  so
• 19:54
  close
• 19:54
  to
• 19:54
  the
• 19:54
  associate
• 19:56
  and
• 19:56
  the
• 19:56
  P.
• 19:56
  L
• 19:57
  of
• 19:57
  the
• 19:57
  store
• 19:58
  that
• 19:58
  we
• 19:59
  are
• 19:59
  always
• 19:59
  engaged
• 20:00
  with
• 20:00
  the
• 20:00
  store
• 20:01
  leader,
• 20:02
  whoever
• 20:02
  that
• 20:03
  is,
• 20:03
  whoever's
• 20:04
  running
• 20:04
  stores.
• 20:05
  And
• 20:05
  then
• 20:05
  it
• 20:06
  depends
• 20:06
  on
• 20:06
  the
• 20:06
  org
• 20:07
  and
• 20:07
  the
• 20:07
  power
• 20:07
  structure
• 20:08
  within
• 20:08
  the
• 20:08
  org.
• 20:09
  But
• 20:09
  usually
• 20:10
  like
• 20:10
  a
• 20:10
  CTO
• 20:11
  or
• 20:11
  a
• 20:12
  chief
• 20:13
  innovation
• 20:13
  officer
• 20:14
  or
• 20:15
  chief
• 20:15
  omnichannel
• 20:16
  officer,
• 20:17
  usually
• 20:17
  as
• 20:17
  a
• 20:17
  quasi
• 20:18
  tech
• 20:19
  functional
• 20:20
  role.
• 20:20
  So
• 20:20
  we'll
• 20:21
  see
• 20:21
  them.
• 20:22
  But
• 20:23
  I
• 20:24
  think
• 20:24
  that
• 20:25
  where
• 20:25
  we
• 20:25
  see
• 20:25
  speed
• 20:26
  and
• 20:26
  success
• 20:28
  is
• 20:28
  there's
• 20:29
  usually
• 20:30
  one
• 20:30
  or
• 20:30
  two
• 20:31
  that
• 20:31
  are
• 20:31
  leading
• 20:32
  that
• 20:32
  effort
• 20:32
  and
• 20:33
  their
• 20:33
  goals
• 20:34
  are
• 20:34
  totally
• 20:34
  aligned.
• 20:35
  I
• 20:35
  remember
• 20:36
  I
• 20:36
  won't
• 20:36
  name
• 20:36
  retailer
• 20:37
  names,
• 20:37
  but
• 20:37
  I
• 20:37
  remember
• 20:38
  trying
• 20:38
  to
• 20:38
  do
• 20:38
  Omnichannel
• 20:39
  and
• 20:39
  E
• 20:39
  Com
• 20:40
  projects
• 20:40
  in
• 20:40
  the
• 20:41
  2012,
• 20:42
  2013,
• 20:43
  2014
• 20:43
  time
• 20:44
  frame.
• 20:45
  And
• 20:46
  projects
• 20:47
  would
• 20:47
  stop
• 20:48
  for
• 20:49
  a
• 20:49
  long
• 20:49
  time
• 20:50
  because
• 20:50
  they
• 20:51
  couldn't
• 20:51
  figure
• 20:51
  out
• 20:51
  which
• 20:52
  executive
• 20:52
  was
• 20:52
  going
• 20:53
  to
• 20:53
  get
• 20:53
  a
• 20:53
  bonus
• 20:53
  based
• 20:54
  on
• 20:54
  the
• 20:54
  sales
• 20:55
  that
• 20:55
  came
• 20:55
  through
• 20:55
  an
• 20:55
  omnichannel
• 20:56
  transaction.
• 20:57
  As
• 20:57
  the
• 20:57
  E.
• 20:57
  Comm
• 20:57
  person,
• 20:59
  you
• 20:59
  know,
• 20:59
  like
• 21:00
  literally
• 21:00
  it'd
• 21:00
  be
• 21:01
  like,
• 21:01
  so
• 21:01
  it's
• 21:01
  the
• 21:01
  right
• 21:01
  thing
• 21:02
  to
• 21:02
  do
• 21:02
  for
• 21:02
  the
• 21:02
  customer,
• 21:03
  but
• 21:03
  you're
• 21:04
  gonna
• 21:04
  wait
• 21:04
  until
• 21:04
  you
• 21:04
  figure
• 21:05
  out
• 21:05
  who
• 21:05
  gets
• 21:05
  paid
• 21:05
  at
• 21:06
  the
• 21:06
  corporate
• 21:06
  office,
• 21:06
  you
• 21:07
  know,
• 21:07
  that
• 21:07
  would
• 21:07
  literally
• 21:08
  happen,
• 21:08
  like
• 21:08
  stop
• 21:09
  a
• 21:09
  huge
• 21:09
  program
• 21:10
  until
• 21:10
  they
• 21:10
  figured
• 21:11
  out,
• 21:11
  well,
• 21:11
  how
• 21:11
  are
• 21:11
  we
• 21:11
  gonna
• 21:11
  credit
• 21:12
  people?
• 21:13
  I
• 21:13
  see
• 21:14
  in
• 21:14
  this
• 21:14
  space,
• 21:15
  like
• 21:15
  usually
• 21:16
  two
• 21:16
  people
• 21:16
  championing
• 21:17
  it.
• 21:17
  More
• 21:17
  of
• 21:18
  a
• 21:18
  tech
• 21:18
  person
• 21:18
  leader
• 21:19
  and
• 21:19
  more
• 21:19
  of
• 21:20
  a
• 21:20
  store
• 21:20
  ops
• 21:20
  person.
• 21:21
  They're
• 21:21
  both
• 21:21
  on
• 21:22
  board.
• 21:22
  It
• 21:22
  usually
• 21:22
  runs
• 21:23
  pretty
• 21:24
  smoothly
• 21:25
  and
• 21:26
  then
• 21:26
  less
• 21:26
  so.
• 21:26
  The
• 21:27
  CI,
• 21:27
  like
• 21:27
  usually
• 21:28
  the
• 21:28
  CIO
• 21:28
  is
• 21:28
  super
• 21:29
  important
• 21:29
  to
• 21:29
  it,
• 21:29
  but.
• 21:30
  But
• 21:30
  he
• 21:30
  or
• 21:30
  she's
• 21:31
  managing
• 21:31
  a
• 21:31
  huge
• 21:31
  portfolio
• 21:32
  of
• 21:32
  apps.
• 21:33
  So
• 21:33
  they're
• 21:34
  just
• 21:34
  taking
• 21:35
  over
• 21:35
  this
• 21:35
  app
• 21:35
  and
• 21:36
  making
• 21:36
  sure
• 21:36
  it
• 21:36
  scales
• 21:37
  and
• 21:37
  it
• 21:37
  passes
• 21:38
  all
• 21:38
  the
• 21:39
  tests.
• 21:39
  But
• 21:39
  they
• 21:39
  don't
• 21:40
  seem
• 21:40
  to
• 21:40
  be
• 21:40
  as
• 21:40
  close,
• 21:41
  at
• 21:41
  least
• 21:41
  with
• 21:41
  our
• 21:41
  projects,
• 21:43
  until
• 21:43
  it
• 21:43
  becomes
• 21:44
  a
• 21:44
  let's
• 21:44
  roll
• 21:44
  this
• 21:45
  out
• 21:45
  to
• 21:45
  all
• 21:45
  of
• 21:45
  our
• 21:45
  stores
• 21:46
  and
• 21:46
  then
• 21:46
  they
• 21:46
  own
• 21:46
  it.
• 21:46
  Right.
• 21:47
  And
• 21:47
  Troy,
• 21:48
  I'm
• 21:48
  curious
• 21:48
  your
• 21:48
  perspective
• 21:49
  then
• 21:49
  too.
• 21:49
  I
• 21:50
  mean,
• 21:50
  we're
• 21:50
  starting
• 21:50
  to
• 21:51
  see
• 21:51
  some
• 21:52
  retailers
• 21:52
  bring
• 21:52
  in
• 21:53
  like
• 21:53
  a
• 21:53
  chief
• 21:53
  AI
• 21:54
  officer
• 21:55
  as
• 21:55
  one
• 21:56
  approach.
• 21:56
  They're.
• 21:57
  They're
• 21:57
  looking
• 21:57
  at,
• 21:58
  you
• 21:58
  know,
• 21:58
  making
• 21:58
  sure
• 21:59
  that
• 21:59
  across
• 22:00
  every
• 22:01
  vertical,
• 22:02
  everyone's
• 22:02
  got
• 22:02
  AI
• 22:03
  expertise.
• 22:04
  How
• 22:04
  do
• 22:04
  you
• 22:04
  think
• 22:04
  about
• 22:05
  that
• 22:05
  with
• 22:05
  AI
• 22:05
  playing
• 22:06
  such
• 22:06
  an
• 22:06
  important
• 22:06
  role
• 22:07
  in
• 22:07
  the
• 22:07
  digitization
• 22:08
  of
• 22:08
  the
• 22:08
  store?
• 22:09
  And
• 22:09
  then
• 22:09
  the
• 22:09
  outcomes
• 22:10
  that
• 22:10
  you're
• 22:10
  seeing
• 22:11
  from.
• 22:11
  From
• 22:12
  some
• 22:12
  of
• 22:12
  these
• 22:12
  deployments
• 22:12
  that
• 22:13
  you've
• 22:13
  done.
• 22:13
  I
• 22:13
  haven't
• 22:13
  met
• 22:14
  one
• 22:14
  of
• 22:14
  those
• 22:14
  yet.
• 22:16
  Okay.
• 22:16
  I
• 22:17
  know
• 22:17
  they
• 22:17
  exist.
• 22:17
  I've
• 22:17
  been
• 22:18
  reading
• 22:18
  about
• 22:18
  it.
• 22:18
  I
• 22:19
  haven't
• 22:19
  met
• 22:19
  One.
• 22:19
  It
• 22:19
  could
• 22:19
  be
• 22:20
  a
• 22:20
  good
• 22:20
  thing,
• 22:20
  Troy.
• 22:21
  Yeah,
• 22:21
  I
• 22:21
  don't
• 22:21
  know.
• 22:22
  Well,
• 22:22
  like,
• 22:23
  once
• 22:23
  I
• 22:23
  do,
• 22:23
  I'll
• 22:23
  let
• 22:24
  you
• 22:24
  know.
• 22:25
  I.
• 22:25
  I
• 22:25
  do
• 22:26
  think
• 22:26
  though
• 22:26
  that
• 22:27
  there's
• 22:28
  two
• 22:28
  flavors
• 22:28
  that
• 22:29
  we're
• 22:29
  seeing.
• 22:29
  Again,
• 22:30
  we're
• 22:30
  very
• 22:30
  biased,
• 22:31
  focused
• 22:31
  on
• 22:31
  the
• 22:31
  store
• 22:32
  associate
• 22:32
  and
• 22:33
  operating
• 22:33
  the
• 22:33
  store.
• 22:34
  But
• 22:34
  there's
• 22:35
  a
• 22:35
  lot
• 22:35
  of
• 22:35
  other
• 22:35
  areas,
• 22:36
  E
• 22:36
  Com
• 22:36
  and
• 22:37
  things
• 22:37
  like
• 22:37
  that.
• 22:38
  Consumer
• 22:38
  facing.
• 22:39
  But
• 22:39
  what
• 22:40
  we
• 22:40
  see
• 22:40
  is
• 22:41
  there's
• 22:41
  two
• 22:42
  flavors.
• 22:42
  There's.
• 22:43
  They
• 22:44
  want
• 22:45
  the
• 22:45
  data.
• 22:46
  So
• 22:46
  that
• 22:46
  digital
• 22:47
  twin
• 22:47
  we've
• 22:47
  been
• 22:48
  talking
• 22:48
  about
• 22:48
  with
• 22:48
  all
• 22:48
  that
• 22:49
  data
• 22:49
  about
• 22:49
  inventory
• 22:50
  people.
• 22:50
  Yeah.
• 22:51
  Store
• 22:51
  formats
• 22:53
  served
• 22:53
  up
• 22:54
  so
• 22:54
  that
• 22:54
  their
• 22:55
  internal
• 22:56
  AI
• 22:58
  can
• 22:58
  either
• 22:58
  help
• 22:58
  associates
• 23:00
  answer
• 23:00
  questions
• 23:01
  or,
• 23:01
  you
• 23:02
  know,
• 23:02
  externally
• 23:03
  we
• 23:03
  feed
• 23:04
  that
• 23:04
  data
• 23:04
  and
• 23:04
  then
• 23:04
  they
• 23:05
  can
• 23:05
  provide
• 23:05
  it
• 23:05
  through
• 23:05
  their
• 23:06
  app
• 23:06
  or
• 23:06
  their
• 23:07
  website
• 23:07
  or
• 23:08
  kiosks,
• 23:09
  those
• 23:10
  types
• 23:10
  of
• 23:10
  things.
• 23:11
  And
• 23:11
  then
• 23:11
  there's
• 23:12
  like,
• 23:12
  we
• 23:13
  provide
• 23:13
  AI,
• 23:14
  like
• 23:15
  we
• 23:15
  have
• 23:15
  a
• 23:16
  help,
• 23:16
  a
• 23:16
  sale
• 23:16
  app
• 23:18
  and
• 23:18
  we
• 23:18
  can
• 23:18
  provide
• 23:19
  in
• 23:19
  store
• 23:19
  help
• 23:20
  for
• 23:20
  the
• 23:20
  associates
• 23:21
  through
• 23:21
  our
• 23:22
  G
• 23:22
  Store
• 23:22
  app.
• 23:23
  Right.
• 23:23
  In
• 23:23
  our
• 23:23
  G
• 23:24
  Store
• 23:24
  tech
• 23:24
  partners.
• 23:25
  So
• 23:25
  there's
• 23:25
  both
• 23:26
  flavors.
• 23:27
  And
• 23:27
  some
• 23:27
  of
• 23:27
  those
• 23:27
  CIOs
• 23:28
  or
• 23:28
  those
• 23:29
  executives
• 23:30
  literally
• 23:30
  have
• 23:31
  something
• 23:31
  in
• 23:31
  their
• 23:32
  objectives
• 23:33
  that
• 23:33
  say
• 23:34
  implement
• 23:34
  AI
• 23:35
  by
• 23:35
  the
• 23:35
  end
• 23:35
  of
• 23:35
  the
• 23:36
  year.
• 23:36
  So
• 23:36
  some
• 23:36
  of
• 23:36
  them
• 23:37
  are
• 23:37
  happy
• 23:37
  if
• 23:37
  we
• 23:37
  can
• 23:37
  do
• 23:38
  it,
• 23:38
  and
• 23:38
  some
• 23:38
  of
• 23:38
  them
• 23:38
  are
• 23:39
  happy
• 23:39
  if
• 23:39
  we
• 23:39
  can
• 23:40
  provide
• 23:40
  them
• 23:40
  enough
• 23:40
  data
• 23:41
  so
• 23:41
  that
• 23:41
  they
• 23:41
  can
• 23:42
  do
• 23:42
  it
• 23:42
  and
• 23:42
  build
• 23:43
  it
• 23:43
  and
• 23:43
  build
• 23:43
  those
• 23:43
  data
• 23:44
  models.
• 23:44
  So
• 23:45
  we're
• 23:45
  seeing
• 23:45
  it
• 23:46
  happen.
• 23:46
  But
• 23:47
  it's
• 23:47
  not
• 23:47
  so
• 23:47
  mature
• 23:48
  that
• 23:48
  somebody,
• 23:49
  I
• 23:49
  don't
• 23:49
  think
• 23:49
  somebody
• 23:50
  can
• 23:50
  definitively
• 23:50
  say
• 23:51
  this
• 23:51
  is
• 23:51
  the
• 23:51
  answer
• 23:52
  for
• 23:52
  this
• 23:52
  type
• 23:53
  of
• 23:53
  retailer.
• 23:53
  They're
• 23:54
  still
• 23:54
  all
• 23:54
  trying
• 23:55
  to
• 23:55
  figure
• 23:55
  it
• 23:55
  out.
• 23:56
  Right.
• 23:57
  So
• 23:57
  it's
• 23:57
  important
• 23:57
  that
• 23:58
  everybody,
• 23:58
  again,
• 23:58
  you
• 23:59
  find
• 23:59
  those
• 23:59
  two
• 23:59
  champions
• 24:00
  within
• 24:00
  your
• 24:00
  organization
• 24:01
  that
• 24:01
  can
• 24:02
  really
• 24:02
  help
• 24:03
  move
• 24:03
  a
• 24:03
  project
• 24:04
  like
• 24:04
  this
• 24:04
  along.
• 24:05
  And,
• 24:05
  and
• 24:06
  it
• 24:06
  helps
• 24:06
  if
• 24:07
  everyone's
• 24:07
  got
• 24:07
  that
• 24:08
  AI
• 24:08
  background,
• 24:09
  is
• 24:09
  what
• 24:09
  I.
• 24:09
  I
• 24:09
  think
• 24:10
  I'm.
• 24:10
  That
• 24:10
  understanding
• 24:11
  and
• 24:11
  acceptance
• 24:12
  of
• 24:12
  it.
• 24:12
  Absolutely.
• 24:13
  Yeah.
• 24:14
  Well,
• 24:14
  if
• 24:14
  I
• 24:14
  read
• 24:14
  between
• 24:15
  the
• 24:15
  lines
• 24:15
  of
• 24:15
  what
• 24:15
  you're
• 24:15
  saying
• 24:15
  too,
• 24:16
  Troy,
• 24:16
  it
• 24:16
  sounds
• 24:16
  like
• 24:16
  on
• 24:16
  annual
• 24:17
  review
• 24:17
  time,
• 24:17
  there's
• 24:17
  just
• 24:18
  literally
• 24:19
  expectations
• 24:19
  of
• 24:19
  what
• 24:20
  have
• 24:20
  you
• 24:20
  done
• 24:20
  in
• 24:20
  regards
• 24:21
  to
• 24:21
  AI
• 24:21
  that's
• 24:22
  being
• 24:22
  checked
• 24:22
  off
• 24:22
  the
• 24:22
  boxes
• 24:23
  here
• 24:23
  with
• 24:24
  the
• 24:24
  executives
• 24:24
  that
• 24:25
  you're.
• 24:25
  You're
• 24:25
  describing.
• 24:26
  Yeah.
• 24:26
  Wow.
• 24:27
  It's
• 24:27
  a
• 24:27
  little
• 24:27
  sad,
• 24:27
  but
• 24:28
  true.
• 24:28
  I've
• 24:29
  talked
• 24:29
  to
• 24:29
  some
• 24:29
  of
• 24:29
  the.
• 24:32
  Analyst
• 24:32
  agencies
• 24:33
  and
• 24:34
  they
• 24:34
  confirmed
• 24:34
  like
• 24:35
  there's
• 24:36
  companies
• 24:36
  that
• 24:36
  are
• 24:36
  really
• 24:36
  leaning
• 24:37
  in
• 24:37
  and
• 24:37
  going
• 24:37
  really
• 24:38
  specific
• 24:39
  with
• 24:39
  the
• 24:39
  type
• 24:40
  of
• 24:40
  AI
• 24:40
  they
• 24:40
  want
• 24:40
  to
• 24:41
  provide
• 24:41
  for
• 24:41
  their
• 24:41
  consumers
• 24:42
  and
• 24:42
  associates.
• 24:42
  And
• 24:43
  there
• 24:43
  are
• 24:43
  some
• 24:43
  that
• 24:43
  are
• 24:43
  a
• 24:43
  little
• 24:43
  more
• 24:44
  general,
• 24:44
  like
• 24:45
  let's
• 24:45
  have
• 24:45
  AI
• 24:45
  by
• 24:45
  the
• 24:46
  end
• 24:46
  of
• 24:46
  the
• 24:46
  year,
• 24:46
  but
• 24:47
  you
• 24:47
  have
• 24:47
  to
• 24:47
  be
• 24:47
  able
• 24:47
  to
• 24:48
  serve
• 24:48
  both.
• 24:49
  Right,
• 24:49
  Right.
• 24:50
  Which.
• 24:50
  Which
• 24:50
  actually
• 24:51
  brings
• 24:51
  up
• 24:51
  a
• 24:51
  good
• 24:51
  question.
• 24:52
  For
• 24:52
  me.
• 24:52
  So
• 24:52
  like,
• 24:53
  you
• 24:53
  know,
• 24:53
  there's
• 24:53
  a
• 24:53
  lot
• 24:54
  of
• 24:54
  talk
• 24:54
  around
• 24:54
  computer
• 24:55
  vision
• 24:55
  AI.
• 24:56
  We've
• 24:56
  had
• 24:56
  you
• 24:57
  on
• 24:57
  a
• 24:57
  lot
• 24:57
  in
• 24:57
  the
• 24:57
  past
• 24:57
  talking
• 24:58
  about
• 24:58
  RFID
• 24:59
  in
• 24:59
  terms
• 24:59
  of
• 24:59
  its
• 24:59
  ability
• 25:00
  to
• 25:00
  help
• 25:00
  you
• 25:00
  understand
• 25:01
  the,
• 25:01
  the
• 25:01
  inventory
• 25:02
  in
• 25:03
  the
• 25:03
  physical
• 25:03
  store.
• 25:04
  But
• 25:04
  computer
• 25:05
  vision
• 25:05
  AI
• 25:05
  is
• 25:06
  a
• 25:06
  part
• 25:06
  of
• 25:06
  the
• 25:06
  overall
• 25:07
  digitization
• 25:07
  of
• 25:08
  the
• 25:08
  store
• 25:08
  too.
• 25:09
  So
• 25:10
  I'm
• 25:10
  curious,
• 25:10
  like,
• 25:11
  how
• 25:11
  do
• 25:11
  you
• 25:11
  think
• 25:12
  retailers
• 25:12
  should
• 25:12
  be
• 25:13
  incorporating,
• 25:13
  should
• 25:14
  they,
• 25:14
  number
• 25:14
  one,
• 25:15
  be
• 25:15
  incorporating
• 25:15
  computer
• 25:16
  vision
• 25:16
  AI
• 25:17
  and
• 25:17
  in
• 25:17
  what
• 25:17
  order
• 25:17
  of
• 25:17
  operations
• 25:18
  against
• 25:18
  rfid
• 25:20
  and
• 25:21
  like
• 25:21
  how
• 25:22
  should
• 25:22
  they
• 25:22
  be
• 25:22
  thinking
• 25:23
  about
• 25:23
  computer
• 25:23
  vision
• 25:23
  AI
• 25:24
  on
• 25:24
  their
• 25:24
  roadmaps?
• 25:24
  With
• 25:25
  all
• 25:25
  that
• 25:25
  said,
• 25:26
  we're
• 25:26
  not
• 25:26
  a
• 25:26
  computer
• 25:27
  vision
• 25:27
  company.
• 25:28
  I
• 25:28
  like
• 25:28
  to
• 25:28
  think
• 25:29
  of
• 25:29
  us
• 25:29
  as
• 25:29
  a
• 25:29
  platform
• 25:30
  company,
• 25:30
  but
• 25:30
  we're
• 25:30
  interfacing
• 25:31
  and
• 25:31
  working
• 25:32
  with
• 25:32
  and
• 25:32
  testing
• 25:33
  with
• 25:33
  a
• 25:33
  lot
• 25:33
  of
• 25:33
  different
• 25:35
  computer
• 25:35
  vision
• 25:36
  solutions
• 25:37
  out
• 25:37
  there.
• 25:37
  So
• 25:38
  I'm
• 25:38
  seeing
• 25:38
  a
• 25:38
  lot.
• 25:39
  There's
• 25:39
  some
• 25:40
  really
• 25:40
  cool
• 25:40
  stuff.
• 25:43
  If
• 25:43
  I
• 25:43
  was
• 25:44
  a
• 25:44
  retailer
• 25:45
  and
• 25:45
  I
• 25:45
  was
• 25:45
  evaluating
• 25:46
  computer
• 25:46
  vision,
• 25:48
  I
• 25:48
  would
• 25:48
  say
• 25:49
  what
• 25:49
  am
• 25:49
  I
• 25:50
  trying
• 25:50
  to
• 25:50
  do?
• 25:51
  Right,
• 25:52
  Connecting
• 25:52
  the
• 25:53
  vision
• 25:53
  solution
• 25:54
  to
• 25:54
  the
• 25:54
  decisions
• 25:55
  we're
• 25:55
  trying
• 25:55
  to
• 25:55
  make.
• 25:56
  Is
• 25:57
  it
• 25:57
  telling
• 25:57
  you
• 25:57
  something
• 25:58
  you
• 25:58
  don't
• 25:58
  know?
• 25:58
  Can
• 25:58
  it
• 25:59
  replace
• 25:59
  something
• 26:00
  manual?
• 26:01
  Can
• 26:01
  it
• 26:01
  surface
• 26:02
  like
• 26:02
  actual
• 26:03
  moments
• 26:03
  on
• 26:03
  the
• 26:04
  sales
• 26:04
  floor?
• 26:06
  So
• 26:06
  what
• 26:06
  am
• 26:06
  I
• 26:06
  trying
• 26:06
  to
• 26:06
  do
• 26:07
  with
• 26:07
  computer
• 26:07
  vision?
• 26:08
  If
• 26:08
  you
• 26:08
  don't
• 26:08
  know
• 26:09
  that
• 26:09
  question,
• 26:09
  then
• 26:10
  maybe
• 26:11
  pump
• 26:11
  the
• 26:11
  brakes
• 26:11
  a
• 26:12
  little
• 26:12
  bit.
• 26:12
  Now
• 26:12
  if
• 26:12
  you
• 26:12
  know
• 26:13
  what
• 26:13
  you
• 26:13
  want
• 26:13
  to
• 26:13
  do
• 26:13
  and
• 26:14
  you're
• 26:14
  looking
• 26:14
  at
• 26:14
  a
• 26:15
  computer
• 26:15
  vision
• 26:15
  partner,
• 26:16
  I'll,
• 26:17
  I'll
• 26:17
  give
• 26:17
  you
• 26:17
  a
• 26:17
  cheat
• 26:18
  code
• 26:18
  because
• 26:18
  we've
• 26:18
  already
• 26:19
  gone
• 26:19
  through
• 26:19
  this.
• 26:20
  Figure
• 26:20
  out
• 26:20
  what
• 26:21
  the
• 26:21
  computer
• 26:21
  vision
• 26:22
  company
• 26:22
  you're
• 26:22
  talking
• 26:23
  to
• 26:23
  does
• 26:24
  for
• 26:24
  a
• 26:24
  living.
• 26:25
  Well,
• 26:26
  so
• 26:26
  if
• 26:26
  they're
• 26:27
  counting
• 26:27
  Coke
• 26:27
  cans
• 26:29
  at
• 26:29
  a,
• 26:29
  like
• 26:29
  an
• 26:30
  Amazon
• 26:30
  go
• 26:30
  at
• 26:31
  the
• 26:31
  airport,
• 26:32
  they're
• 26:32
  probably
• 26:32
  not
• 26:32
  going
• 26:33
  to
• 26:33
  help
• 26:33
  you
• 26:33
  people
• 26:33
  track
• 26:34
  and
• 26:34
  stuff
• 26:34
  like
• 26:34
  that.
• 26:34
  Right?
• 26:35
  Like,
• 26:35
  so
• 26:36
  what
• 26:36
  do
• 26:36
  they
• 26:36
  do
• 26:37
  that's
• 26:37
  really
• 26:37
  good,
• 26:37
  that's
• 26:38
  going
• 26:38
  to
• 26:38
  help
• 26:38
  you?
• 26:39
  And
• 26:39
  then
• 26:40
  I'm
• 26:41
  not
• 26:41
  a
• 26:41
  computer
• 26:41
  vision
• 26:41
  expert,
• 26:42
  but
• 26:42
  just
• 26:42
  looking
• 26:43
  at
• 26:43
  the
• 26:43
  data
• 26:43
  that
• 26:44
  we
• 26:44
  get,
• 26:44
  you
• 26:44
  know,
• 26:45
  figure
• 26:45
  out
• 26:45
  what
• 26:45
  they
• 26:45
  specialize
• 26:46
  in
• 26:46
  and
• 26:46
  then
• 26:46
  what
• 26:47
  you're
• 26:47
  going
• 26:47
  to
• 26:47
  do
• 26:47
  with
• 26:47
  it
• 26:47
  and
• 26:48
  how
• 26:48
  is
• 26:48
  it
• 26:48
  going
• 26:48
  to
• 26:48
  help
• 26:49
  you
• 26:49
  make
• 26:49
  decisions?
• 26:50
  For
• 26:50
  example,
• 26:51
  the
• 26:52
  example
• 26:52
  I
• 26:52
  gave
• 26:52
  earlier
• 26:53
  was
• 26:53
  somebody
• 26:54
  walks
• 26:54
  out
• 26:55
  of
• 26:55
  your
• 26:55
  store
• 26:56
  with
• 26:57
  an
• 26:57
  item
• 26:57
  that's
• 26:58
  RFID
• 26:58
  tagged
• 26:59
  and
• 26:59
  now
• 27:00
  can
• 27:00
  you
• 27:00
  map
• 27:00
  that
• 27:01
  to
• 27:01
  a
• 27:01
  two
• 27:01
  minute
• 27:02
  video
• 27:02
  that
• 27:02
  shows
• 27:03
  the
• 27:03
  exact
• 27:03
  moment
• 27:04
  that
• 27:04
  product
• 27:05
  went
• 27:05
  in
• 27:05
  their
• 27:05
  pocket
• 27:06
  and
• 27:06
  out
• 27:06
  the
• 27:07
  door?
• 27:08
  And
• 27:08
  now
• 27:08
  you
• 27:09
  have
• 27:09
  a
• 27:09
  game
• 27:09
  changer
• 27:10
  in
• 27:10
  the,
• 27:10
  in
• 27:10
  the
• 27:11
  loss
• 27:11
  prevention
• 27:11
  space
• 27:12
  or
• 27:13
  you
• 27:13
  just
• 27:14
  put
• 27:14
  this
• 27:14
  new
• 27:14
  merchandising
• 27:15
  display
• 27:15
  in
• 27:15
  the
• 27:15
  back
• 27:16
  of
• 27:16
  the
• 27:16
  room
• 27:16
  and
• 27:16
  we
• 27:17
  have
• 27:17
  a
• 27:17
  computer
• 27:18
  vision
• 27:18
  company
• 27:19
  that's
• 27:19
  able
• 27:20
  to
• 27:20
  capture
• 27:20
  with
• 27:21
  AI
• 27:21
  the
• 27:21
  gaze
• 27:23
  people
• 27:23
  keep
• 27:24
  Looking
• 27:24
  at
• 27:24
  this,
• 27:24
  but
• 27:25
  no
• 27:25
  one's
• 27:25
  buying
• 27:26
  it.
• 27:26
  Something's
• 27:27
  wrong.
• 27:27
  Tell
• 27:27
  the
• 27:27
  merchant
• 27:28
  something's
• 27:28
  wrong
• 27:29
  with
• 27:29
  this
• 27:29
  item.
• 27:29
  Go
• 27:30
  do
• 27:30
  some
• 27:30
  testing.
• 27:31
  So
• 27:31
  I
• 27:32
  think
• 27:32
  it's
• 27:32
  really
• 27:32
  important
• 27:33
  to
• 27:33
  know
• 27:33
  what
• 27:33
  your
• 27:33
  problem
• 27:34
  you're
• 27:34
  trying
• 27:34
  to
• 27:34
  solve.
• 27:35
  Connect
• 27:35
  it
• 27:35
  to
• 27:35
  a
• 27:35
  decision
• 27:36
  on
• 27:36
  the
• 27:36
  floor,
• 27:37
  and
• 27:37
  then
• 27:37
  make
• 27:37
  sure
• 27:38
  the
• 27:38
  vendors
• 27:38
  you're
• 27:38
  talking
• 27:39
  to
• 27:39
  aren't
• 27:39
  just
• 27:39
  a
• 27:40
  computer
• 27:40
  vision
• 27:40
  company,
• 27:41
  but
• 27:41
  they
• 27:41
  do
• 27:41
  what
• 27:42
  you
• 27:42
  actually
• 27:42
  want
• 27:43
  them
• 27:43
  to
• 27:43
  do,
• 27:43
  because
• 27:44
  that's
• 27:44
  how
• 27:44
  they
• 27:44
  tune
• 27:44
  their
• 27:44
  product
• 27:45
  to
• 27:46
  things
• 27:47
  or
• 27:47
  people
• 27:48
  or
• 27:48
  whatever
• 27:48
  it
• 27:49
  may
• 27:49
  be.
• 27:49
  And
• 27:49
  coming
• 27:50
  back
• 27:50
  full
• 27:50
  circle
• 27:50
  again.
• 27:50
  I
• 27:51
  mean,
• 27:51
  that's
• 27:51
  the
• 27:51
  thing
• 27:51
  I
• 27:51
  love
• 27:51
  about
• 27:52
  the
• 27:52
  digital
• 27:52
  twin
• 27:52
  concept.
• 27:53
  When
• 27:53
  you
• 27:53
  put
• 27:53
  it
• 27:53
  in
• 27:54
  context,
• 27:54
  like
• 27:54
  when
• 27:54
  you
• 27:55
  have
• 27:55
  all
• 27:55
  this
• 27:55
  working,
• 27:55
  like
• 27:55
  you
• 27:56
  just
• 27:56
  said,
• 27:56
  especially
• 27:57
  in
• 27:57
  a
• 27:57
  fashion
• 27:57
  apparel
• 27:58
  business,
• 27:58
  like,
• 27:59
  you
• 27:59
  can
• 27:59
  understand,
• 28:00
  like,
• 28:00
  okay,
• 28:00
  if
• 28:00
  this
• 28:01
  table
• 28:01
  of
• 28:02
  sweaters
• 28:03
  is
• 28:03
  earning
• 28:04
  its
• 28:04
  keep,
• 28:04
  right,
• 28:04
  all
• 28:05
  things
• 28:05
  being
• 28:05
  equal,
• 28:05
  are
• 28:06
  people
• 28:06
  stopping
• 28:06
  and
• 28:07
  looking
• 28:07
  at
• 28:07
  this
• 28:07
  sweater
• 28:08
  table
• 28:08
  and
• 28:09
  is
• 28:09
  it
• 28:09
  earning
• 28:09
  its
• 28:10
  placement?
• 28:10
  Is
• 28:11
  it.
• 28:11
  Is
• 28:11
  it
• 28:11
  the
• 28:12
  right
• 28:12
  thing
• 28:12
  to
• 28:12
  have
• 28:12
  there,
• 28:13
  or
• 28:13
  should
• 28:13
  we
• 28:13
  adjust
• 28:14
  and
• 28:14
  move?
• 28:14
  Because
• 28:14
  in
• 28:14
  apparel,
• 28:15
  you
• 28:15
  can
• 28:15
  make
• 28:15
  those
• 28:16
  switches
• 28:16
  a
• 28:16
  lot
• 28:16
  easier
• 28:17
  than
• 28:17
  you
• 28:17
  can
• 28:17
  and
• 28:17
  say,
• 28:17
  like
• 28:18
  hard
• 28:18
  fixture
• 28:18
  businesses.
• 28:19
  And.
• 28:19
  And
• 28:20
  that
• 28:20
  stuff
• 28:20
  matters.
• 28:21
  The.
• 28:21
  Especially
• 28:21
  the
• 28:22
  inspiration
• 28:22
  of
• 28:22
  clothing.
• 28:23
  And.
• 28:23
  And
• 28:23
  so
• 28:24
  that's
• 28:24
  where
• 28:24
  you're
• 28:24
  seeing
• 28:24
  the
• 28:25
  complementarity
• 28:26
  of
• 28:26
  the
• 28:26
  digital
• 28:26
  twin
• 28:27
  come
• 28:27
  about.
• 28:27
  That's
• 28:27
  one
• 28:27
  example.
• 28:28
  Right,
• 28:28
  Troy?
• 28:29
  Yeah.
• 28:29
  And.
• 28:30
  And
• 28:30
  you
• 28:30
  can
• 28:30
  figure
• 28:30
  out
• 28:31
  conversion
• 28:31
  a
• 28:31
  little
• 28:32
  better.
• 28:32
  I
• 28:32
  mean,
• 28:32
  there
• 28:33
  are
• 28:33
  solutions
• 28:33
  now.
• 28:34
  There's
• 28:34
  solutions
• 28:35
  out
• 28:35
  there
• 28:35
  for
• 28:35
  a
• 28:35
  long
• 28:35
  time
• 28:36
  that
• 28:36
  count
• 28:36
  people.
• 28:37
  Right.
• 28:38
  But
• 28:38
  what
• 28:38
  hasn't
• 28:39
  been
• 28:39
  there,
• 28:40
  at
• 28:40
  least
• 28:40
  not
• 28:40
  that
• 28:41
  I've
• 28:41
  seen.
• 28:42
  It's
• 28:42
  something
• 28:42
  that
• 28:42
  connects
• 28:43
  it
• 28:43
  all
• 28:44
  right.
• 28:44
  And
• 28:45
  gives
• 28:45
  you
• 28:45
  real
• 28:46
  time.
• 28:46
  Like,
• 28:47
  this
• 28:47
  isn't
• 28:47
  working.
• 28:48
  Let's
• 28:48
  change
• 28:48
  it
• 28:48
  this
• 28:49
  week,
• 28:49
  let's
• 28:49
  change
• 28:50
  it
• 28:50
  today.
• 28:50
  Not
• 28:51
  like
• 28:51
  at
• 28:51
  the
• 28:51
  end
• 28:51
  of
• 28:52
  the
• 28:52
  season
• 28:52
  or
• 28:52
  something
• 28:53
  like
• 28:53
  that.
• 28:53
  Like,
• 28:53
  the
• 28:54
  table
• 28:54
  of
• 28:54
  sweaters
• 28:54
  is
• 28:55
  really
• 28:55
  rocking.
• 28:55
  Let's
• 28:56
  change
• 28:56
  our
• 28:56
  San
• 28:57
  Marco
• 28:57
  store
• 28:58
  to
• 28:58
  see
• 28:59
  if
• 28:59
  that
• 28:59
  works
• 28:59
  there
• 29:00
  too.
• 29:01
  Giving
• 29:02
  that
• 29:02
  real
• 29:02
  time
• 29:02
  feedback.
• 29:03
  And
• 29:03
  maybe
• 29:03
  even
• 29:05
  I'll
• 29:05
  tease
• 29:05
  out
• 29:06
  some
• 29:06
  stuff
• 29:06
  we're
• 29:06
  looking
• 29:06
  at,
• 29:07
  maybe
• 29:07
  even
• 29:07
  suggesting
• 29:08
  actual
• 29:09
  merchandising
• 29:10
  changes,
• 29:10
  small
• 29:11
  micro
• 29:11
  changes
• 29:12
  you
• 29:12
  could
• 29:12
  make
• 29:12
  based
• 29:13
  on
• 29:13
  that
• 29:13
  pattern
• 29:14
  we're
• 29:14
  seeing
• 29:14
  in
• 29:14
  the
• 29:14
  store.
• 29:15
  Right.
• 29:16
  Like,
• 29:16
  of
• 29:16
  what
• 29:16
  people
• 29:16
  are
• 29:17
  doing
• 29:17
  and.
• 29:18
  The
• 29:18
  inventory
• 29:18
  you
• 29:18
  actually
• 29:19
  have,
• 29:19
  and
• 29:19
  then
• 29:20
  you
• 29:20
  can
• 29:20
  actually
• 29:20
  measure
• 29:20
  whether
• 29:21
  or
• 29:21
  not
• 29:21
  it
• 29:21
  was
• 29:21
  an
• 29:21
  effective
• 29:22
  change
• 29:22
  and.
• 29:23
  Yeah,
• 29:23
  exactly,
• 29:24
  exactly.
• 29:24
  A
• 29:25
  B
• 29:25
  testing.
• 29:25
  Yep.
• 29:26
  And.
• 29:27
  And
• 29:27
  I
• 29:27
  think
• 29:27
  it
• 29:27
  gets
• 29:27
  back
• 29:27
  to
• 29:28
  some
• 29:28
  of
• 29:28
  the
• 29:28
  stuff
• 29:28
  that
• 29:28
  you
• 29:28
  were
• 29:28
  saying
• 29:29
  earlier,
• 29:29
  Troy,
• 29:29
  of
• 29:30
  like
• 29:30
  the.
• 29:31
  A
• 29:31
  retailer
• 29:31
  is
• 29:32
  not
• 29:32
  engineered
• 29:33
  to
• 29:33
  be
• 29:33
  staying
• 29:33
  on
• 29:34
  top
• 29:34
  of
• 29:34
  these,
• 29:35
  you
• 29:35
  know,
• 29:35
  the,
• 29:36
  these
• 29:36
  trends
• 29:36
  and
• 29:37
  the
• 29:37
  changes
• 29:37
  that
• 29:37
  are
• 29:37
  happening,
• 29:38
  especially
• 29:38
  when
• 29:38
  you
• 29:39
  inject
• 29:39
  on
• 29:40
  top
• 29:40
  of,
• 29:40
  you
• 29:40
  know,
• 29:40
  just
• 29:41
  what's
• 29:41
  Happening
• 29:41
  in
• 29:41
  the
• 29:41
  stores.
• 29:42
  What
• 29:42
  are
• 29:43
  the,
• 29:43
  what
• 29:43
  are
• 29:43
  the
• 29:43
  trends
• 29:44
  that
• 29:44
  are
• 29:44
  coming
• 29:44
  as
• 29:45
  things
• 29:45
  like
• 29:45
  TikTok
• 29:46
  influences
• 29:47
  like
• 29:47
  today?
• 29:48
  This
• 29:48
  is
• 29:48
  going
• 29:49
  to
• 29:49
  be
• 29:49
  the
• 29:49
  product
• 29:49
  that
• 29:49
  you
• 29:49
  have
• 29:50
  to
• 29:50
  have
• 29:50
  in
• 29:50
  your
• 29:50
  stores.
• 29:51
  Where
• 29:51
  is
• 29:51
  it?
• 29:51
  Who
• 29:52
  has
• 29:52
  that?
• 29:52
  What,
• 29:53
  what
• 29:53
  stores
• 29:54
  do
• 29:54
  we
• 29:54
  think
• 29:54
  are
• 29:55
  going
• 29:55
  to
• 29:55
  have
• 29:55
  the
• 29:55
  highest
• 29:56
  likelihood
• 29:56
  to
• 29:56
  sell
• 29:56
  through
• 29:57
  this
• 29:57
  type
• 29:57
  of
• 29:57
  product?
• 29:58
  Like,
• 29:58
  there's
• 29:59
  all
• 29:59
  of
• 29:59
  these
• 29:59
  complexities
• 30:00
  that
• 30:00
  I
• 30:00
  think
• 30:00
  you're,
• 30:01
  what
• 30:01
  you're,
• 30:01
  you're
• 30:01
  telling
• 30:02
  us
• 30:02
  in.
• 30:03
  And
• 30:03
  what
• 30:03
  you
• 30:03
  just
• 30:03
  said
• 30:04
  is
• 30:04
  that,
• 30:04
  you
• 30:04
  know,
• 30:04
  it's
• 30:05
  really,
• 30:06
  it's,
• 30:06
  it's
• 30:06
  about
• 30:07
  the,
• 30:07
  the
• 30:08
  hardware,
• 30:08
  the
• 30:08
  software
• 30:09
  that
• 30:09
  you
• 30:09
  have
• 30:09
  and
• 30:09
  the
• 30:09
  technology
• 30:10
  that
• 30:10
  you
• 30:10
  have
• 30:10
  working
• 30:10
  in
• 30:11
  the
• 30:11
  store.
• 30:11
  But
• 30:11
  then
• 30:11
  it's
• 30:11
  also
• 30:12
  kind
• 30:12
  of
• 30:13
  allowing
• 30:14
  the
• 30:14
  expertise
• 30:15
  of
• 30:15
  a,
• 30:15
  of
• 30:16
  a
• 30:16
  platform
• 30:16
  provider
• 30:17
  to
• 30:17
  help
• 30:17
  your
• 30:17
  company
• 30:18
  distill
• 30:19
  that
• 30:19
  down
• 30:19
  and
• 30:19
  make
• 30:19
  it
• 30:20
  actionable.
• 30:21
  Yeah,
• 30:21
  yeah,
• 30:21
  keep
• 30:22
  it
• 30:22
  unique,
• 30:22
  keep
• 30:23
  it
• 30:23
  you
• 30:23
  as
• 30:24
  your
• 30:24
  brand,
• 30:24
  but
• 30:25
  allow
• 30:25
  tech
• 30:25
  partners
• 30:26
  to
• 30:26
  plug
• 30:26
  in
• 30:26
  that
• 30:27
  you
• 30:27
  feel
• 30:27
  like
• 30:28
  enable
• 30:28
  your
• 30:28
  business
• 30:29
  won't
• 30:29
  hold
• 30:29
  you
• 30:29
  back.
• 30:30
  And
• 30:31
  then
• 30:31
  you
• 30:31
  can
• 30:31
  always
• 30:31
  break
• 30:32
  up
• 30:32
  with
• 30:32
  them
• 30:32
  if
• 30:33
  they're
• 30:33
  not
• 30:33
  keeping
• 30:34
  up
• 30:34
  with
• 30:34
  the
• 30:34
  trends
• 30:34
  and
• 30:35
  find
• 30:35
  somebody
• 30:36
  new.
• 30:36
  Well,
• 30:37
  Chris,
• 30:37
  got
• 30:37
  to
• 30:37
  ask
• 30:38
  about
• 30:38
  computer
• 30:38
  vision.
• 30:39
  You
• 30:40
  teased
• 30:40
  it
• 30:40
  earlier,
• 30:41
  but
• 30:41
  I
• 30:41
  want
• 30:41
  to
• 30:41
  ask
• 30:41
  about
• 30:42
  robots.
• 30:42
  We're
• 30:43
  thinking
• 30:43
  about
• 30:43
  the
• 30:43
  future
• 30:44
  digitization
• 30:45
  of
• 30:45
  stores.
• 30:46
  How
• 30:46
  do
• 30:46
  you
• 30:47
  feel
• 30:47
  like
• 30:47
  robots
• 30:48
  come
• 30:48
  into
• 30:48
  play?
• 30:48
  Where
• 30:49
  is
• 30:49
  that
• 30:49
  appropriate?
• 30:50
  What
• 30:50
  should
• 30:50
  retailers
• 30:51
  and
• 30:51
  brands
• 30:51
  be
• 30:52
  thinking
• 30:52
  about
• 30:52
  as
• 30:52
  they're
• 30:53
  considering
• 30:53
  robots
• 30:54
  as
• 30:54
  a
• 30:54
  way
• 30:55
  to
• 30:55
  kind
• 30:55
  of
• 30:55
  manage
• 30:55
  inventory
• 30:56
  and
• 30:56
  things?
• 30:57
  This
• 30:57
  is
• 30:57
  an
• 30:57
  interesting
• 30:58
  one.
• 30:58
  It's
• 30:58
  definitely
• 30:59
  one
• 30:59
  in
• 30:59
  our
• 30:59
  lab
• 31:00
  that
• 31:00
  we're
• 31:00
  working
• 31:00
  on.
• 31:01
  I
• 31:01
  would
• 31:01
  say
• 31:02
  robots
• 31:02
  and
• 31:03
  stores
• 31:03
  is
• 31:03
  going
• 31:03
  to
• 31:03
  be
• 31:03
  interesting.
• 31:04
  We've
• 31:04
  deployed
• 31:06
  tens
• 31:06
  of
• 31:06
  thousands
• 31:07
  of
• 31:07
  robotic
• 31:07
  agents
• 31:08
  across
• 31:08
  all,
• 31:10
  you
• 31:10
  know,
• 31:10
  Fortune,
• 31:11
  top
• 31:11
  Fortune
• 31:11
  retailers.
• 31:12
  And
• 31:13
  so
• 31:13
  we're
• 31:13
  very
• 31:13
  experienced
• 31:14
  with
• 31:14
  robots,
• 31:15
  the
• 31:16
  good,
• 31:16
  bad
• 31:16
  and
• 31:16
  the
• 31:16
  ugly.
• 31:17
  And
• 31:17
  so
• 31:17
  what
• 31:17
  we've
• 31:17
  done
• 31:18
  is
• 31:18
  we
• 31:18
  provide
• 31:18
  this
• 31:19
  orchestration
• 31:19
  layer
• 31:20
  that
• 31:20
  allows
• 31:20
  multiple
• 31:21
  robots,
• 31:22
  different
• 31:22
  robot
• 31:23
  companies,
• 31:24
  to
• 31:24
  all
• 31:25
  work
• 31:25
  together.
• 31:25
  An
• 31:25
  agent
• 31:26
  could
• 31:26
  be
• 31:26
  a
• 31:27
  person,
• 31:28
  an
• 31:28
  agent
• 31:29
  can
• 31:29
  be
• 31:29
  a
• 31:29
  robot.
• 31:30
  An
• 31:30
  agent
• 31:30
  could
• 31:30
  be
• 31:30
  a
• 31:31
  forklift,
• 31:32
  whatever,
• 31:32
  a
• 31:33
  conveyor.
• 31:34
  It's,
• 31:34
  it's
• 31:34
  something,
• 31:35
  doing
• 31:35
  something
• 31:36
  right.
• 31:36
  And
• 31:37
  if
• 31:37
  you
• 31:37
  can
• 31:37
  orchestrate
• 31:38
  all
• 31:38
  those
• 31:38
  things
• 31:38
  together,
• 31:40
  you
• 31:40
  can
• 31:41
  really
• 31:41
  see
• 31:42
  an
• 31:42
  roi.
• 31:43
  You
• 31:43
  can
• 31:43
  really
• 31:44
  see
• 31:44
  increased
• 31:44
  throughput,
• 31:46
  you
• 31:46
  know,
• 31:46
  lower
• 31:47
  costs
• 31:47
  and
• 31:47
  stuff
• 31:47
  like
• 31:47
  that.
• 31:48
  So
• 31:48
  we
• 31:48
  look
• 31:48
  at
• 31:48
  an
• 31:49
  agent
• 31:49
  as
• 31:49
  anything
• 31:50
  we
• 31:50
  can
• 31:51
  help
• 31:51
  with
• 31:51
  the
• 31:51
  software,
• 31:52
  orchestrate,
• 31:53
  push
• 31:53
  it
• 31:53
  around,
• 31:54
  you
• 31:54
  know,
• 31:54
  tell
• 31:54
  it
• 31:54
  where
• 31:55
  to
• 31:55
  go,
• 31:55
  stuff
• 31:56
  like
• 31:56
  that.
• 31:56
  There's
• 31:56
  one
• 31:56
  question
• 31:56
  I've
• 31:57
  never,
• 31:57
  I
• 31:57
  don't
• 31:57
  think
• 31:57
  I've
• 31:58
  ever
• 31:58
  asked
• 31:58
  this
• 31:58
  of
• 31:58
  a
• 31:58
  guest
• 31:59
  before.
• 31:59
  And
• 31:59
  you,
• 31:59
  you
• 32:00
  are
• 32:00
  a
• 32:00
  kind
• 32:00
  of
• 32:00
  our
• 32:00
  resident
• 32:01
  expert
• 32:01
  on
• 32:01
  the
• 32:01
  digitization
• 32:02
  of
• 32:02
  the
• 32:02
  physical
• 32:03
  store.
• 32:03
  So,
• 32:04
  so
• 32:04
  I'm
• 32:04
  curious
• 32:05
  as,
• 32:05
  as
• 32:06
  People
• 32:06
  look
• 32:06
  ahead
• 32:07
  to
• 32:07
  NRF
• 32:08
  in
• 32:08
  January
• 32:08
  and
• 32:09
  2026
• 32:10
  in
• 32:10
  general.
• 32:12
  What
• 32:12
  would
• 32:12
  you
• 32:13
  suggest
• 32:13
  that
• 32:13
  the
• 32:13
  retailers
• 32:14
  and
• 32:14
  brands
• 32:15
  listening
• 32:16
  look
• 32:16
  into
• 32:18
  or
• 32:18
  what
• 32:18
  advice
• 32:19
  would
• 32:19
  you
• 32:19
  have
• 32:19
  for
• 32:19
  them
• 32:20
  as
• 32:20
  they
• 32:20
  approach
• 32:20
  this
• 32:21
  next
• 32:21
  year
• 32:21
  in
• 32:21
  terms
• 32:22
  of
• 32:22
  thinking
• 32:22
  about
• 32:22
  their
• 32:23
  technological
• 32:23
  roadmaps?
• 32:24
  What
• 32:25
  I'm
• 32:25
  seeing
• 32:25
  that
• 32:25
  frustrates
• 32:26
  me
• 32:27
  outside
• 32:27
  of
• 32:27
  my
• 32:28
  job
• 32:28
  and
• 32:28
  my
• 32:29
  objectives
• 32:29
  in
• 32:29
  my
• 32:29
  job.
• 32:30
  But
• 32:30
  if
• 32:30
  I
• 32:30
  was
• 32:30
  just
• 32:31
  somebody
• 32:32
  advising
• 32:32
  retailers,
• 32:34
  I
• 32:34
  see
• 32:34
  so
• 32:35
  much
• 32:35
  process
• 32:36
  that
• 32:37
  they've
• 32:37
  built
• 32:37
  up
• 32:38
  over
• 32:38
  time
• 32:38
  during
• 32:39
  the
• 32:39
  big
• 32:39
  ELAs
• 32:40
  and
• 32:40
  the
• 32:40
  big
• 32:41
  Oracle,
• 32:42
  Microsoft,
• 32:43
  IBM
• 32:44
  contracts
• 32:44
  and
• 32:44
  all
• 32:45
  the
• 32:45
  consulting
• 32:45
  companies.
• 32:46
  And
• 32:46
  so
• 32:46
  there's
• 32:46
  so
• 32:47
  much
• 32:47
  process
• 32:47
  built
• 32:48
  into
• 32:48
  selecting
• 32:49
  technology.
• 32:49
  Technology
• 32:50
  it's
• 32:50
  starting
• 32:51
  to
• 32:51
  get
• 32:51
  in
• 32:51
  the
• 32:51
  way
• 32:52
  now,
• 32:52
  despite
• 32:53
  the
• 32:53
  fact
• 32:53
  that
• 32:53
  I'm
• 32:53
  a
• 32:53
  software
• 32:54
  company
• 32:54
  trying
• 32:54
  to
• 32:54
  sell
• 32:55
  into
• 32:55
  that
• 32:55
  process.
• 32:56
  So
• 32:57
  full
• 32:57
  caveat
• 32:57
  there.
• 32:58
  But
• 32:58
  it
• 32:59
  feels
• 32:59
  like
• 32:59
  the
• 33:00
  companies
• 33:00
  where
• 33:01
  an
• 33:01
  executive
• 33:01
  can
• 33:02
  talk
• 33:02
  to
• 33:02
  someone
• 33:02
  like
• 33:03
  me
• 33:03
  or
• 33:04
  my
• 33:04
  competitor,
• 33:04
  the,
• 33:05
  the
• 33:05
  Troy
• 33:05
  at
• 33:06
  my
• 33:06
  competitor
• 33:07
  and
• 33:07
  say,
• 33:08
  tell
• 33:08
  me
• 33:08
  how
• 33:08
  you're
• 33:09
  going
• 33:09
  to
• 33:09
  fix
• 33:09
  this
• 33:09
  for
• 33:10
  me.
• 33:11
  And
• 33:11
  then
• 33:11
  they
• 33:11
  sure
• 33:12
  put
• 33:12
  in
• 33:12
  some
• 33:12
  process
• 33:12
  to
• 33:13
  make
• 33:13
  sure
• 33:13
  you're
• 33:13
  not
• 33:13
  making
• 33:14
  a
• 33:14
  decision.
• 33:14
  One
• 33:15
  person's
• 33:15
  making
• 33:15
  a
• 33:15
  decision,
• 33:16
  put
• 33:16
  in
• 33:16
  some
• 33:16
  process,
• 33:17
  do
• 33:17
  some
• 33:18
  testing
• 33:18
  and
• 33:18
  get
• 33:19
  going.
• 33:20
  Right.
• 33:20
  One
• 33:20
  of
• 33:21
  the
• 33:21
  biggest,
• 33:21
  most
• 33:21
  successful
• 33:22
  projects
• 33:22
  we
• 33:23
  had
• 33:23
  with
• 33:23
  a
• 33:23
  massive
• 33:24
  retailer,
• 33:25
  the
• 33:25
  conversation
• 33:26
  happened
• 33:27
  with
• 33:27
  how
• 33:27
  long
• 33:27
  are
• 33:28
  we
• 33:28
  going
• 33:28
  to
• 33:28
  look
• 33:28
  at
• 33:28
  this
• 33:29
  test?
• 33:30
  How
• 33:30
  long
• 33:30
  are
• 33:30
  we
• 33:30
  going
• 33:30
  to
• 33:30
  POC
• 33:31
  things?
• 33:31
  Let's
• 33:32
  get
• 33:32
  it
• 33:32
  going.
• 33:33
  Let's
• 33:33
  make
• 33:33
  the
• 33:34
  magic
• 33:34
  happen
• 33:34
  in
• 33:34
  the
• 33:35
  stores.
• 33:35
  So
• 33:36
  that
• 33:36
  would
• 33:36
  be
• 33:36
  the
• 33:36
  first
• 33:36
  thing
• 33:37
  I
• 33:37
  would
• 33:37
  say
• 33:37
  is
• 33:37
  just
• 33:38
  really
• 33:38
  look
• 33:38
  at
• 33:39
  your
• 33:39
  process
• 33:39
  and
• 33:40
  say,
• 33:40
  is
• 33:40
  this
• 33:40
  really
• 33:41
  helping?
• 33:42
  Right.
• 33:43
  I
• 33:43
  have
• 33:43
  a
• 33:44
  retailer
• 33:44
  we're
• 33:45
  working
• 33:45
  with
• 33:45
  right
• 33:46
  now
• 33:46
  where
• 33:47
  they
• 33:48
  actually
• 33:48
  said
• 33:49
  it's
• 33:49
  working.
• 33:50
  The
• 33:50
  store
• 33:51
  associates
• 33:51
  love
• 33:52
  it
• 33:52
  and
• 33:52
  we're
• 33:52
  seeing
• 33:53
  blah,
• 33:53
  blah,
• 33:54
  blah,
• 33:54
  payback.
• 33:56
  But
• 33:56
  they
• 33:57
  want
• 33:57
  to
• 33:57
  look
• 33:57
  at
• 33:57
  it
• 33:58
  again
• 33:59
  in
• 33:59
  January
• 34:00
  and
• 34:00
  February
• 34:01
  just
• 34:01
  to
• 34:01
  make
• 34:01
  sure,
• 34:02
  you
• 34:03
  know.
• 34:03
  And
• 34:03
  I'm
• 34:03
  thinking
• 34:04
  to
• 34:04
  myself,
• 34:04
  okay,
• 34:05
  of
• 34:05
  course
• 34:05
  I
• 34:05
  would
• 34:05
  love
• 34:06
  to
• 34:06
  have
• 34:06
  that
• 34:06
  now.
• 34:06
  But
• 34:07
  if
• 34:07
  I
• 34:07
  was
• 34:07
  running,
• 34:07
  if
• 34:07
  I
• 34:08
  was
• 34:08
  an
• 34:08
  owner
• 34:08
  of
• 34:08
  that
• 34:08
  retailer,
• 34:10
  what
• 34:10
  are
• 34:10
  you
• 34:10
  waiting
• 34:11
  for?
• 34:12
  Like,
• 34:12
  you
• 34:12
  know,
• 34:13
  jump
• 34:13
  in
• 34:13
  the
• 34:14
  pool.
• 34:14
  Correct
• 34:14
  it
• 34:15
  fast
• 34:15
  if
• 34:15
  it's
• 34:15
  not
• 34:16
  working,
• 34:16
  but
• 34:17
  jump
• 34:17
  in
• 34:17
  and
• 34:17
  get
• 34:18
  these
• 34:18
  projects
• 34:18
  done.
• 34:18
  Because
• 34:19
  by
• 34:19
  the
• 34:19
  time
• 34:20
  you
• 34:20
  implement
• 34:20
  rfid,
• 34:21
  maybe
• 34:21
  there's.
• 34:21
  The
• 34:21
  replacement
• 34:22
  of
• 34:22
  RFID
• 34:23
  is
• 34:23
  going
• 34:23
  to
• 34:23
  be
• 34:24
  happening.
• 34:24
  Like
• 34:24
  this
• 34:25
  keeps
• 34:25
  happening
• 34:25
  in
• 34:26
  the
• 34:26
  tech
• 34:26
  space.
• 34:27
  Like
• 34:27
  you
• 34:27
  can't
• 34:27
  be
• 34:28
  so
• 34:28
  selective
• 34:28
  and
• 34:29
  so
• 34:29
  process
• 34:29
  oriented
• 34:30
  that
• 34:30
  you
• 34:31
  miss
• 34:31
  the
• 34:32
  big
• 34:32
  splash.
• 34:33
  Right?
• 34:33
  You
• 34:33
  miss
• 34:34
  that.
• 34:34
  So
• 34:34
  that's
• 34:35
  one
• 34:35
  thing.
• 34:35
  And
• 34:35
  then
• 34:35
  I
• 34:36
  think
• 34:36
  what
• 34:36
  Ann
• 34:36
  and
• 34:37
  I
• 34:37
  were
• 34:37
  talking
• 34:37
  about
• 34:38
  with
• 34:39
  the
• 34:39
  organization
• 34:40
  of
• 34:40
  the
• 34:40
  teams,
• 34:42
  the
• 34:42
  really
• 34:42
  slow
• 34:42
  retailers
• 34:44
  seem
• 34:44
  to
• 34:44
  have
• 34:44
  a
• 34:44
  decision
• 34:45
  by
• 34:45
  committee,
• 34:46
  a
• 34:46
  big
• 34:46
  committee
• 34:47
  and
• 34:48
  four
• 34:48
  or
• 34:48
  five
• 34:49
  groups
• 34:50
  involved
• 34:51
  in
• 34:51
  the
• 34:51
  Project
• 34:52
  which
• 34:52
  is
• 34:53
  almost
• 34:53
  a
• 34:54
  death
• 34:54
  sentence.
• 34:54
  Not
• 34:55
  quite
• 34:55
  a
• 34:55
  death
• 34:55
  sentence,
• 34:55
  but
• 34:56
  almost
• 34:56
  a
• 34:56
  death
• 34:56
  sentence
• 34:57
  for
• 34:57
  a
• 34:58
  big
• 34:58
  ROI
• 34:58
  because
• 34:59
  it
• 34:59
  takes
• 34:59
  so
• 34:59
  long
• 35:00
  to
• 35:00
  get
• 35:01
  through
• 35:01
  those
• 35:01
  changes.
• 35:02
  I
• 35:02
  don't
• 35:02
  know
• 35:02
  if
• 35:02
  that's
• 35:02
  the
• 35:03
  nature
• 35:03
  of
• 35:03
  what
• 35:03
  you
• 35:03
  were
• 35:03
  asking
• 35:04
  me,
• 35:04
  Chris,
• 35:04
  but
• 35:05
  that's
• 35:06
  like,
• 35:06
  if
• 35:06
  I
• 35:06
  was
• 35:06
  advising
• 35:07
  the
• 35:08
  leaders
• 35:08
  of
• 35:08
  a
• 35:08
  company
• 35:09
  buying
• 35:09
  tech
• 35:09
  or
• 35:10
  looking
• 35:10
  at
• 35:10
  tech,
• 35:11
  that's
• 35:11
  what
• 35:11
  I
• 35:12
  would
• 35:12
  do.
• 35:12
  And
• 35:12
  then
• 35:12
  I
• 35:12
  wouldn't.
• 35:13
  I
• 35:13
  would
• 35:13
  test
• 35:14
  everything.
• 35:14
  I
• 35:14
  would
• 35:14
  have
• 35:14
  my
• 35:15
  own
• 35:15
  lab.
• 35:17
  To
• 35:17
  test
• 35:17
  things
• 35:18
  out
• 35:18
  with
• 35:18
  vendors,
• 35:18
  and
• 35:19
  a
• 35:19
  lot
• 35:19
  of
• 35:19
  these
• 35:19
  guys
• 35:19
  do,
• 35:20
  but
• 35:21
  I
• 35:21
  wouldn't.
• 35:21
  I
• 35:22
  would
• 35:22
  rely
• 35:22
  on
• 35:22
  those
• 35:23
  partners
• 35:23
  to
• 35:24
  come
• 35:24
  in
• 35:24
  and
• 35:25
  show
• 35:25
  me
• 35:25
  the
• 35:25
  best
• 35:25
  and
• 35:26
  brightest
• 35:26
  tech
• 35:26
  that's
• 35:27
  out
• 35:27
  there
• 35:27
  and
• 35:27
  then
• 35:27
  use
• 35:28
  my
• 35:28
  lab
• 35:28
  to
• 35:28
  figure
• 35:29
  out
• 35:29
  how
• 35:29
  to
• 35:29
  implement
• 35:29
  it
• 35:29
  at
• 35:30
  my
• 35:30
  place
• 35:31
  versus
• 35:31
  using
• 35:32
  my
• 35:32
  lab
• 35:32
  to
• 35:32
  figure
• 35:33
  out
• 35:33
  what
• 35:33
  to
• 35:33
  do.
• 35:34
  Right.
• 35:35
  Like
• 35:35
  the
• 35:36
  deciding
• 35:36
  and
• 35:36
  brainstorming
• 35:37
  what
• 35:37
  to
• 35:37
  do.
• 35:38
  There's
• 35:38
  a
• 35:38
  lot
• 35:39
  of
• 35:39
  companies
• 35:39
  out
• 35:39
  there
• 35:39
  spending
• 35:40
  a
• 35:40
  lot
• 35:40
  on
• 35:40
  R
• 35:41
  and
• 35:41
  D&AI
• 35:42
  and
• 35:42
  robotics
• 35:42
  and
• 35:42
  RFID.
• 35:43
  Bring
• 35:44
  them
• 35:44
  in
• 35:45
  and
• 35:45
  let
• 35:45
  them
• 35:46
  show
• 35:46
  you
• 35:46
  what
• 35:46
  they
• 35:46
  have.
• 35:47
  That's
• 35:47
  interesting.
• 35:48
  Yeah,
• 35:48
  show
• 35:48
  me
• 35:49
  instead
• 35:49
  of
• 35:49
  build
• 35:49
  what
• 35:49
  to
• 35:50
  do.
• 35:50
  That's
• 35:50
  really
• 35:50
  interesting.
• 35:50
  That's
• 35:51
  something
• 35:51
  I've
• 35:51
  never
• 35:51
  heard
• 35:51
  before.
• 35:52
  The
• 35:52
  other
• 35:52
  point
• 35:52
  too,
• 35:52
  that
• 35:53
  I
• 35:53
  want
• 35:53
  to
• 35:53
  bring
• 35:53
  out
• 35:53
  in
• 35:54
  closing
• 35:54
  too,
• 35:54
  is
• 35:55
  given
• 35:55
  our
• 35:56
  mutual
• 35:56
  experience
• 35:56
  in
• 35:56
  retail
• 35:57
  over
• 35:57
  the
• 35:57
  years,
• 35:59
  would
• 35:59
  you
• 35:59
  agree
• 35:59
  with
• 36:00
  me
• 36:00
  when
• 36:00
  you.
• 36:00
  When
• 36:00
  I
• 36:00
  would
• 36:01
  say,
• 36:01
  like,
• 36:01
  in
• 36:02
  retail,
• 36:02
  generally
• 36:02
  speaking,
• 36:03
  you
• 36:03
  know,
• 36:03
  if
• 36:03
  something's
• 36:04
  working
• 36:04
  or
• 36:04
  not
• 36:05
  right
• 36:05
  away.
• 36:06
  And
• 36:06
  so
• 36:06
  if
• 36:06
  you're
• 36:06
  piloting
• 36:07
  something
• 36:07
  and
• 36:07
  it's
• 36:08
  working,
• 36:08
  either
• 36:09
  go
• 36:09
  after
• 36:10
  it
• 36:10
  or
• 36:10
  make
• 36:11
  the
• 36:11
  decision
• 36:11
  and
• 36:11
  cut
• 36:11
  it.
• 36:12
  And
• 36:12
  if
• 36:12
  it's
• 36:12
  not
• 36:12
  working,
• 36:12
  just
• 36:13
  cut
• 36:13
  it
• 36:13
  and
• 36:13
  get
• 36:13
  out.
• 36:14
  Right.
• 36:14
  I
• 36:14
  mean,
• 36:14
  that's
• 36:15
  generally
• 36:15
  how
• 36:15
  things
• 36:15
  work.
• 36:17
  That's
• 36:17
  exactly
• 36:18
  right.
• 36:18
  Yeah.
• 36:19
  I
• 36:19
  couldn't
• 36:19
  have
• 36:19
  said
• 36:19
  it
• 36:19
  better
• 36:19
  myself.
• 36:20
  That's
• 36:20
  what
• 36:20
  I
• 36:20
  was
• 36:21
  trying
• 36:21
  to
• 36:21
  say.
• 36:21
  You
• 36:21
  said
• 36:21
  it
• 36:22
  a
• 36:22
  little
• 36:22
  better
• 36:22
  than
• 36:22
  I
• 36:22
  did.
• 36:22
  It's
• 36:23
  just
• 36:23
  like,
• 36:24
  you
• 36:24
  know,
• 36:25
  if
• 36:25
  you
• 36:25
  see
• 36:25
  it
• 36:26
  working
• 36:27
  and
• 36:27
  the
• 36:27
  magic
• 36:27
  is
• 36:28
  happening,
• 36:28
  like,
• 36:30
  it's
• 36:30
  almost
• 36:30
  like
• 36:30
  the
• 36:31
  fear
• 36:31
  of
• 36:31
  getting
• 36:31
  fired
• 36:32
  for
• 36:32
  making
• 36:32
  a
• 36:33
  technology
• 36:33
  decision
• 36:34
  is,
• 36:34
  Is
• 36:34
  overwhelming
• 36:36
  to
• 36:36
  some
• 36:36
  of
• 36:36
  these
• 36:37
  decision
• 36:37
  makers.
• 36:38
  And
• 36:39
  like,
• 36:39
  you
• 36:40
  know,
• 36:40
  I'm.
• 36:40
  I'm
• 36:40
  a
• 36:41
  go
• 36:41
  for
• 36:41
  it
• 36:41
  type
• 36:41
  of
• 36:41
  person.
• 36:42
  Go
• 36:42
  for
• 36:42
  it.
• 36:43
  Like,
• 36:43
  test
• 36:43
  it
• 36:44
  out.
• 36:44
  Go
• 36:44
  three
• 36:44
  store.
• 36:45
  Who's
• 36:45
  going
• 36:45
  to
• 36:45
  get
• 36:45
  fired
• 36:45
  for
• 36:46
  doing
• 36:46
  something
• 36:46
  in
• 36:46
  three
• 36:46
  stores?
• 36:47
  And
• 36:48
  then
• 36:48
  you
• 36:48
  can.
• 36:48
  And
• 36:48
  then
• 36:49
  you
• 36:49
  can
• 36:49
  roll
• 36:49
  it
• 36:49
  out.
• 36:50
  So
• 36:50
  I
• 36:50
  think.
• 36:50
  And
• 36:50
  then
• 36:51
  just
• 36:51
  one
• 36:51
  of
• 36:52
  the
• 36:52
  things
• 36:52
  I
• 36:52
  said
• 36:52
  early
• 36:52
  in
• 36:53
  this
• 36:53
  conversation
• 36:53
  was
• 36:54
  ground
• 36:55
  it
• 36:55
  in
• 36:55
  reality.
• 36:56
  And
• 36:56
  how
• 36:56
  is
• 36:57
  this
• 36:57
  going
• 36:57
  to
• 36:57
  help
• 36:58
  the
• 36:58
  on
• 36:58
  the
• 36:59
  ground
• 36:59
  situation
• 36:59
  in
• 37:00
  my
• 37:00
  store?
• 37:00
  Because
• 37:01
  sometimes
• 37:01
  I
• 37:01
  look
• 37:01
  at
• 37:01
  people's
• 37:02
  pilots
• 37:02
  and
• 37:02
  I'm
• 37:03
  like,
• 37:03
  and
• 37:03
  then
• 37:03
  what
• 37:04
  is
• 37:04
  that
• 37:04
  going
• 37:04
  to
• 37:04
  do.
• 37:04
  Is
• 37:05
  the
• 37:05
  associate
• 37:05
  going
• 37:05
  to
• 37:06
  do
• 37:06
  that?
• 37:07
  They're
• 37:07
  going
• 37:07
  to
• 37:07
  pick
• 37:07
  up
• 37:07
  a
• 37:08
  different
• 37:08
  device,
• 37:08
  not
• 37:09
  the
• 37:09
  device
• 37:09
  they
• 37:09
  already
• 37:09
  have.
• 37:10
  You
• 37:10
  know,
• 37:10
  that
• 37:10
  kind
• 37:10
  of
• 37:11
  stuff.
• 37:11
  So
• 37:11
  just
• 37:11
  make
• 37:11
  sure
• 37:12
  it
• 37:12
  feels
• 37:13
  like
• 37:13
  it's
• 37:14
  grounded
• 37:14
  in
• 37:14
  reality
• 37:15
  for
• 37:15
  how
• 37:15
  the
• 37:15
  stores
• 37:15
  operate
• 37:16
  now.
• 37:16
  They're
• 37:17
  not
• 37:17
  thinking
• 37:17
  of.
• 37:18
  The
• 37:18
  associate
• 37:19
  is
• 37:19
  not
• 37:19
  thinking
• 37:20
  of
• 37:21
  what
• 37:21
  new
• 37:21
  tech
• 37:22
  are
• 37:22
  they
• 37:22
  going
• 37:22
  to
• 37:22
  give
• 37:22
  me
• 37:22
  this
• 37:23
  week.
• 37:23
  They're
• 37:23
  thinking
• 37:23
  of
• 37:24
  how's
• 37:24
  my
• 37:24
  Tuesday?
• 37:25
  How's
• 37:25
  my
• 37:25
  Tuesday
• 37:26
  going
• 37:26
  to
• 37:26
  go
• 37:26
  this
• 37:26
  week?
• 37:27
  Is
• 37:27
  it
• 37:27
  going
• 37:27
  to
• 37:27
  be
• 37:27
  a
• 37:28
  nightmare
• 37:28
  or
• 37:28
  is
• 37:28
  it
• 37:28
  going
• 37:29
  to
• 37:29
  be
• 37:29
  okay?
• 37:30
  Yeah,
• 37:30
  yeah.
• 37:31
  They
• 37:31
  just
• 37:31
  want
• 37:31
  the
• 37:31
  hours
• 37:32
  most
• 37:32
  of
• 37:32
  the
• 37:32
  time.
• 37:32
  Yeah,
• 37:33
  yeah,
• 37:33
  exactly.
• 37:34
  Want
• 37:35
  the
• 37:35
  paycheck.
• 37:36
  Right.
• 37:36
  And
• 37:36
  that's
• 37:37
  clear.
• 37:37
  There's
• 37:38
  something.
• 37:38
  For
• 37:38
  those
• 37:39
  listening,
• 37:39
  we,
• 37:39
  we
• 37:40
  released
• 37:40
  a
• 37:40
  video
• 37:41
  at
• 37:41
  the
• 37:41
  Fabletics
• 37:42
  store
• 37:43
  that
• 37:43
  G
• 37:44
  Store
• 37:44
  is
• 37:44
  deployed
• 37:45
  in
• 37:45
  out
• 37:46
  in
• 37:46
  La
• 37:46
  Jolla,
• 37:46
  California.
• 37:47
  And
• 37:47
  that
• 37:47
  was
• 37:47
  one
• 37:47
  of
• 37:47
  the
• 37:48
  things
• 37:48
  that
• 37:48
  was
• 37:48
  so
• 37:48
  remarkable
• 37:49
  about
• 37:49
  it.
• 37:49
  It
• 37:49
  was
• 37:49
  like
• 37:50
  the.
• 37:50
  Their
• 37:50
  day
• 37:51
  went
• 37:51
  from
• 37:51
  a
• 37:51
  full,
• 37:52
  you
• 37:52
  know,
• 37:52
  week
• 37:52
  of
• 37:53
  doing
• 37:53
  inventory
• 37:54
  to
• 37:54
  18
• 37:54
  minutes
• 37:55
  of
• 37:55
  doing
• 37:55
  inventory
• 37:56
  on
• 37:56
  a
• 37:56
  Monday
• 37:56
  morning.
• 37:57
  Check
• 37:58
  done
• 37:58
  and
• 37:58
  you
• 37:58
  go
• 37:58
  on
• 37:59
  to
• 37:59
  doing
• 37:59
  other
• 37:59
  things
• 38:00
  in
• 38:00
  the
• 38:00
  store.
• 38:00
  So
• 38:01
  I,
• 38:01
  yes,
• 38:02
  we
• 38:02
  appreciate,
• 38:04
  we
• 38:04
  appreciate
• 38:05
  all
• 38:05
  that
• 38:05
  you
• 38:05
  and
• 38:06
  the
• 38:06
  team
• 38:06
  at
• 38:06
  Greg
• 38:06
  Orange
• 38:07
  are
• 38:07
  doing,
• 38:07
  Troy,
• 38:07
  to
• 38:08
  truly
• 38:08
  help
• 38:09
  accelerate
• 38:09
  the.
• 38:10
  The
• 38:10
  digitization
• 38:10
  of
• 38:11
  the
• 38:11
  stores
• 38:11
  in
• 38:12
  retail
• 38:12
  and
• 38:13
  retailers
• 38:13
  around
• 38:14
  the
• 38:14
  country.
• 38:15
  So,
• 38:16
  Troy,
• 38:17
  that
• 38:17
  was
• 38:18
  really
• 38:18
  awesome.
• 38:19
  We
• 38:19
  appreciate
• 38:20
  your
• 38:20
  time.
• 38:21
  You
• 38:21
  gave
• 38:21
  us
• 38:21
  so
• 38:21
  much
• 38:21
  to
• 38:22
  think
• 38:22
  about.
• 38:22
  If
• 38:23
  people
• 38:23
  want
• 38:23
  to
• 38:23
  get
• 38:23
  in
• 38:23
  touch
• 38:24
  with
• 38:24
  you,
• 38:25
  they
• 38:25
  want
• 38:25
  to
• 38:25
  call
• 38:25
  you,
• 38:26
  they
• 38:26
  want
• 38:26
  to
• 38:26
  have
• 38:26
  you
• 38:27
  show
• 38:27
  them
• 38:27
  how,
• 38:28
  how
• 38:28
  you
• 38:28
  can
• 38:28
  deploy
• 38:29
  some
• 38:30
  of
• 38:30
  the
• 38:30
  technologies
• 38:31
  we
• 38:31
  talked
• 38:31
  about
• 38:31
  today
• 38:32
  in
• 38:32
  their
• 38:33
  store,
• 38:33
  how
• 38:33
  you
• 38:33
  can
• 38:33
  support
• 38:34
  them.
• 38:34
  What's
• 38:34
  the
• 38:34
  best
• 38:35
  way
• 38:35
  for
• 38:35
  the
• 38:36
  retailers
• 38:36
  and
• 38:36
  brands
• 38:37
  in
• 38:37
  the
• 38:37
  audience
• 38:37
  listening
• 38:38
  to
• 38:38
  get
• 38:38
  in
• 38:38
  touch
• 38:38
  with
• 38:38
  you?
• 38:39
  Well,
• 38:39
  so
• 38:40
  I'm
• 38:40
  on
• 38:40
  our
• 38:40
  website
• 38:40
  so
• 38:41
  they
• 38:41
  can
• 38:41
  go
• 38:41
  to
• 38:41
  grayorange.com
• 38:43
  and
• 38:43
  just
• 38:43
  reach
• 38:44
  out.
• 38:44
  They
• 38:45
  can
• 38:45
  reach
• 38:45
  out
• 38:45
  to
• 38:45
  me
• 38:45
  on
• 38:46
  LinkedIn.
• 38:46
  I'm
• 38:47
  widely
• 38:47
  available.
• 38:47
  I
• 38:48
  can
• 38:48
  probably
• 38:48
  be
• 38:48
  reached
• 38:49
  there
• 38:49
  more
• 38:49
  than
• 38:49
  my
• 38:49
  corporate
• 38:50
  email.
• 38:51
  Then
• 38:51
  we'll
• 38:52
  be
• 38:52
  at.
• 38:52
  We'll
• 38:52
  both
• 38:53
  be
• 38:53
  in
• 38:53
  the
• 38:53
  zebra
• 38:54
  booth
• 38:54
  at
• 38:54
  NRF
• 38:55
  in
• 38:55
  New
• 38:55
  York
• 38:55
  this
• 38:55
  year.
• 38:56
  Yes.
• 38:56
  And
• 38:57
  then
• 38:57
  we
• 38:57
  have
• 38:57
  our
• 38:57
  own
• 38:58
  booth
• 38:58
  that's
• 38:58
  probably
• 38:59
  50ft
• 38:59
  from
• 38:59
  that
• 39:00
  booth,
• 39:00
  I
• 39:01
  think
• 39:01
  it
• 39:01
  is.
• 39:02
  3974
• 39:04
  is
• 39:04
  the
• 39:04
  booth
• 39:04
  number.
• 39:05
  So
• 39:05
  I'll
• 39:05
  be
• 39:05
  making
• 39:06
  my
• 39:06
  way
• 39:06
  between
• 39:07
  both
• 39:07
  of
• 39:07
  those
• 39:08
  locations.
• 39:08
  So
• 39:09
  come
• 39:09
  see
• 39:09
  us
• 39:09
  at
• 39:09
  nrf
• 39:10
  and
• 39:10
  otherwise
• 39:11
  just
• 39:11
  reach
• 39:11
  out
• 39:11
  to
• 39:11
  me
• 39:12
  from
• 39:12
  our
• 39:12
  website
• 39:12
  or
• 39:12
  LinkedIn.
• 39:13
  I'd
• 39:13
  love
• 39:13
  to,
• 39:14
  love
• 39:14
  to
• 39:14
  engage.
• 39:15
  Yes,
• 39:16
  we
• 39:16
  know
• 39:16
  from
• 39:16
  last
• 39:16
  year,
• 39:17
  Troy,
• 39:17
  you
• 39:17
  like
• 39:17
  to
• 39:17
  get
• 39:17
  your
• 39:18
  steps
• 39:18
  in
• 39:18
  at
• 39:18
  nrf.
• 39:19
  That's
• 39:19
  one
• 39:19
  of
• 39:19
  your
• 39:19
  favorite
• 39:20
  things
• 39:20
  to
• 39:20
  do
• 39:20
  there.
• 39:21
  So
• 39:21
  we'll
• 39:22
  be
• 39:22
  watching,
• 39:22
  watching
• 39:23
  you
• 39:23
  run
• 39:23
  between
• 39:23
  booths.
• 39:24
  I'm
• 39:24
  sure.
• 39:25
  Well,
• 39:27
  Troy,
• 39:27
  that
• 39:27
  wraps
• 39:28
  us
• 39:28
  up.
• 39:28
  Thanks
• 39:28
  so
• 39:29
  much
• 39:29
  to
• 39:29
  all
• 39:29
  of
• 39:29
  you
• 39:29
  for
• 39:29
  joining
• 39:30
  us
• 39:30
  today.
• 39:30
  Thanks
• 39:31
  to
• 39:31
  Troy
• 39:31
  Siwick
• 39:32
  for
• 39:32
  sitting
• 39:32
  down
• 39:32
  with
• 39:32
  us.
• 39:33
  Thank
• 39:34
  you
• 39:34
  also
• 39:34
  to
• 39:34
  our
• 39:35
  producer,
• 39:35
  Ella
• 39:35
  Seord,
• 39:36
  who
• 39:36
  helped
• 39:37
  bring
• 39:37
  us
• 39:37
  this
• 39:37
  episode
• 39:38
  of
• 39:38
  the
• 39:38
  Ask
• 39:39
  An
• 39:39
  Expert
• 39:39
  series.
• 39:40
  And
• 39:40
  as
• 39:41
  always,
• 39:41
  on
• 39:41
  behalf
• 39:42
  of
• 39:42
  all
• 39:42
  of
• 39:42
  us
• 39:42
  here
• 39:43
  at
• 39:43
  Omni
• 39:43
  Talk,
• 39:43
  be
• 39:44
  careful
• 39:44
  out
• 39:44
  there.