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How AI & Smart Data Capture Are Converging To Improve Retail Store Operations | Ask An Expert · Omni Talk Retail

• 0:00
  Foreign.
• 0:08
  Hello,
• 0:09
  everyone.
• 0:09
  Welcome
• 0:10
  to
• 0:10
  another
• 0:10
  exciting
• 0:11
  and
• 0:11
  hallucinating
• 0:11
  episode
• 0:12
  of
• 0:12
  the
• 0:12
  Omnitok
• 0:13
  Ask
• 0:13
  an
• 0:13
  Expert
• 0:14
  series.
• 0:14
  I'm
• 0:14
  one
• 0:14
  of
• 0:15
  your
• 0:15
  co
• 0:15
  hosts
• 0:15
  for
• 0:15
  today's
• 0:16
  interview,
• 0:16
  Anne
• 0:16
  Mazinga.
• 0:17
  And
• 0:17
  I'm
• 0:18
  Chris
• 0:18
  Walton.
• 0:19
  We're
• 0:19
  the
• 0:19
  founders
• 0:20
  of
• 0:20
  Omnitalk,
• 0:20
  the
• 0:20
  fast
• 0:21
  growing
• 0:21
  retail
• 0:21
  media
• 0:22
  organization
• 0:22
  that
• 0:22
  is
• 0:22
  all
• 0:23
  about
• 0:23
  the
• 0:23
  companies,
• 0:23
  the
• 0:24
  technologies
• 0:24
  and
• 0:24
  the
• 0:24
  people
• 0:25
  that
• 0:25
  are
• 0:25
  coming
• 0:26
  together
• 0:26
  to
• 0:26
  shape
• 0:26
  the
• 0:27
  future
• 0:27
  of
• 0:27
  retail.
• 0:28
  Chris,
• 0:29
  we
• 0:29
  have
• 0:29
  a
• 0:29
  great
• 0:30
  episode
• 0:30
  today
• 0:31
  because
• 0:32
  as
• 0:32
  we
• 0:32
  know
• 0:33
  from
• 0:33
  our
• 0:33
  two
• 0:34
  podcasts
• 0:34
  that
• 0:34
  we
• 0:34
  record
• 0:35
  monthly.
• 0:36
  Just
• 0:37
  two.
• 0:37
  Ann.
• 0:37
  Right?
• 0:37
  Yes,
• 0:38
  we
• 0:38
  record
• 0:38
  a
• 0:38
  lot
• 0:38
  of
• 0:39
  podcasts
• 0:39
  on
• 0:39
  technology,
• 0:40
  without
• 0:40
  a
• 0:40
  doubt.
• 0:41
  Yes,
• 0:41
  yes.
• 0:42
  Our
• 0:42
  Spotlight
• 0:42
  series
• 0:43
  and
• 0:43
  our
• 0:43
  Fast5,
• 0:43
  we
• 0:44
  cover
• 0:44
  new
• 0:45
  technologies
• 0:45
  that
• 0:45
  are
• 0:45
  coming
• 0:46
  out
• 0:46
  for
• 0:46
  the
• 0:46
  retail
• 0:46
  industry
• 0:47
  nearly
• 0:48
  every
• 0:48
  day.
• 0:49
  But
• 0:49
  what
• 0:50
  we
• 0:50
  don't
• 0:50
  often
• 0:50
  hear
• 0:51
  reported
• 0:51
  on
• 0:51
  and
• 0:52
  what
• 0:52
  you
• 0:52
  and
• 0:52
  I,
• 0:52
  I
• 0:52
  think,
• 0:52
  really
• 0:53
  pride
• 0:53
  ourselves
• 0:53
  on
• 0:54
  trying
• 0:54
  to
• 0:54
  do
• 0:54
  is,
• 0:54
  is
• 0:55
  make
• 0:55
  sure
• 0:55
  that
• 0:55
  we
• 0:55
  talk
• 0:55
  about
• 0:55
  the
• 0:56
  impact
• 0:56
  that
• 0:56
  this
• 0:56
  has
• 0:57
  on
• 0:57
  the
• 0:57
  stores
• 0:58
  teams.
• 0:59
  You
• 0:59
  worked
• 0:59
  in
• 1:00
  stores,
• 1:00
  I
• 1:00
  worked
• 1:01
  in
• 1:01
  stores.
• 1:02
  This
• 1:02
  new
• 1:02
  technology
• 1:03
  is
• 1:03
  great,
• 1:03
  but
• 1:04
  it's
• 1:04
  a
• 1:04
  lot
• 1:04
  of
• 1:04
  work,
• 1:04
  right?
• 1:06
  Yeah,
• 1:06
  a
• 1:06
  hundred
• 1:06
  percent.
• 1:07
  I
• 1:07
  mean,
• 1:07
  if
• 1:07
  you
• 1:07
  don't
• 1:07
  think
• 1:07
  about
• 1:08
  how
• 1:08
  the
• 1:08
  technology
• 1:08
  investments
• 1:09
  are
• 1:09
  going
• 1:09
  to
• 1:09
  ultimately
• 1:10
  impact
• 1:10
  the
• 1:11
  people
• 1:11
  on
• 1:11
  the
• 1:11
  front
• 1:11
  lines,
• 1:12
  you're
• 1:12
  missing
• 1:13
  out
• 1:13
  on
• 1:13
  something.
• 1:14
  So
• 1:14
  that's
• 1:14
  got
• 1:14
  to
• 1:14
  be
• 1:14
  a
• 1:14
  part
• 1:15
  of
• 1:15
  the
• 1:15
  equation
• 1:15
  and
• 1:16
  the
• 1:16
  discussion
• 1:16
  every
• 1:16
  single
• 1:17
  day,
• 1:17
  you
• 1:17
  know,
• 1:17
  if
• 1:17
  you're
• 1:17
  running
• 1:18
  a
• 1:18
  retail
• 1:18
  organization.
• 1:19
  Right.
• 1:20
  Well,
• 1:20
  so
• 1:20
  today
• 1:21
  we're
• 1:21
  going
• 1:21
  to
• 1:22
  bring
• 1:22
  on
• 1:22
  an
• 1:22
  expert
• 1:23
  on
• 1:23
  the
• 1:23
  topic.
• 1:24
  We
• 1:24
  have
• 1:24
  Scandit's
• 1:25
  Director
• 1:25
  of
• 1:25
  industry
• 1:26
  solutions,
• 1:27
  Jessica
• 1:27
  Grizzolia
• 1:28
  to
• 1:28
  talk
• 1:28
  about
• 1:29
  the
• 1:29
  key
• 1:29
  retail
• 1:30
  trends
• 1:30
  that
• 1:31
  their
• 1:31
  clients
• 1:31
  at
• 1:32
  Scan
• 1:32
  IT
• 1:32
  are
• 1:32
  investing
• 1:32
  in
• 1:33
  and
• 1:33
  why
• 1:33
  retailers
• 1:34
  should
• 1:34
  be
• 1:34
  looking
• 1:34
  at
• 1:35
  the
• 1:35
  right
• 1:35
  software
• 1:36
  to
• 1:37
  use
• 1:37
  to
• 1:37
  integrate,
• 1:38
  you
• 1:38
  know,
• 1:38
  all
• 1:38
  this
• 1:39
  new
• 1:39
  tech
• 1:39
  into
• 1:40
  their
• 1:40
  current
• 1:40
  and
• 1:41
  existing
• 1:41
  stores
• 1:42
  ecosystem.
• 1:42
  So
• 1:42
  with
• 1:43
  that,
• 1:43
  Jessica,
• 1:44
  welcome
• 1:45
  to
• 1:45
  Omnitalk.
• 1:46
  We're
• 1:46
  so
• 1:46
  thrilled
• 1:47
  to
• 1:47
  have
• 1:47
  you.
• 1:48
  Hello.
• 1:49
  Hi.
• 1:49
  Thanks
• 1:50
  for
• 1:50
  having
• 1:50
  me.
• 1:51
  Yeah,
• 1:51
  it's
• 1:51
  great
• 1:51
  to
• 1:51
  have
• 1:52
  you.
• 1:52
  So
• 1:52
  thanks
• 1:52
  for
• 1:52
  being
• 1:52
  with
• 1:53
  us
• 1:53
  today.
• 1:53
  And,
• 1:53
  and
• 1:54
  just
• 1:54
  a
• 1:54
  quick
• 1:54
  note
• 1:54
  before
• 1:55
  we
• 1:55
  get
• 1:55
  started.
• 1:56
  For
• 1:57
  those
• 1:57
  watching
• 1:57
  live
• 1:58
  on
• 1:58
  LinkedIn,
• 1:58
  feel
• 1:59
  free
• 1:59
  to
• 1:59
  ask
• 1:59
  your
• 1:59
  questions
• 2:00
  of
• 2:00
  Jessica
• 2:00
  at
• 2:01
  any
• 2:01
  time
• 2:01
  via
• 2:01
  the
• 2:02
  chat
• 2:02
  session
• 2:02
  window
• 2:03
  on
• 2:04
  the
• 2:04
  right
• 2:04
  hand
• 2:04
  side
• 2:04
  of
• 2:04
  your
• 2:05
  screen
• 2:05
  if
• 2:05
  you're
• 2:05
  on
• 2:05
  your
• 2:06
  laptop
• 2:06
  and
• 2:07
  also
• 2:07
  right
• 2:08
  below
• 2:08
  the
• 2:09
  the
• 2:10
  video
• 2:10
  if
• 2:11
  you
• 2:11
  are
• 2:11
  watching
• 2:11
  on
• 2:12
  mobile.
• 2:12
  So,
• 2:12
  all
• 2:13
  right,
• 2:13
  let's
• 2:13
  get
• 2:13
  started.
• 2:14
  So
• 2:14
  Jessica,
• 2:14
  before
• 2:15
  we
• 2:15
  dive
• 2:15
  in
• 2:15
  though,
• 2:15
  why
• 2:15
  don't
• 2:16
  you
• 2:16
  tell
• 2:16
  us
• 2:16
  a
• 2:16
  little
• 2:16
  bit
• 2:16
  about
• 2:16
  your
• 2:17
  background
• 2:17
  and
• 2:18
  your
• 2:18
  role
• 2:18
  at
• 2:18
  Scandit
• 2:19
  and
• 2:19
  also
• 2:19
  what
• 2:19
  scan
• 2:20
  it
• 2:20
  does
• 2:20
  for
• 2:20
  those
• 2:20
  that
• 2:21
  maybe
• 2:21
  aren't
• 2:21
  familiar
• 2:21
  with
• 2:22
  listening
• 2:23
  to
• 2:23
  previous
• 2:23
  shows
• 2:23
  that
• 2:24
  we've
• 2:24
  done.
• 2:24
  So
• 2:25
  I'm
• 2:25
  Jessica
• 2:25
  Grisolia
• 2:26
  looking
• 2:27
  after
• 2:27
  all
• 2:28
  things
• 2:28
  Retail
• 2:29
  at
• 2:29
  Scandit
• 2:30
  being
• 2:30
  around
• 2:31
  for
• 2:32
  over
• 2:32
  10
• 2:33
  years
• 2:33
  now
• 2:33
  talking
• 2:34
  about
• 2:34
  digital
• 2:35
  products.
• 2:35
  And
• 2:36
  since
• 2:36
  six
• 2:36
  years
• 2:37
  after
• 2:37
  joining
• 2:37
  Scandit
• 2:38
  really
• 2:39
  focused
• 2:39
  on
• 2:40
  how
• 2:40
  do
• 2:40
  we
• 2:41
  bridge
• 2:41
  the
• 2:41
  digital
• 2:42
  war
• 2:42
  with
• 2:42
  the
• 2:42
  physical
• 2:43
  one
• 2:43
  and
• 2:43
  how
• 2:44
  we
• 2:44
  make
• 2:44
  those
• 2:44
  technology
• 2:45
  technologies
• 2:46
  really
• 2:46
  meaningful
• 2:47
  for
• 2:48
  customers,
• 2:48
  associates
• 2:49
  and
• 2:49
  retailers.
• 2:50
  So
• 2:51
  for
• 2:51
  the
• 2:51
  ones
• 2:51
  that
• 2:51
  don't
• 2:52
  know
• 2:52
  Scanvit,
• 2:53
  we
• 2:53
  are
• 2:53
  the
• 2:53
  global
• 2:54
  leader
• 2:54
  in
• 2:54
  smart
• 2:54
  data
• 2:54
  capture,
• 2:55
  which
• 2:56
  means
• 2:56
  that
• 2:56
  we
• 2:56
  Capture
• 2:57
  barcodes,
• 2:58
  text,
• 2:59
  IDs,
• 3:00
  object,
• 3:01
  and
• 3:01
  then
• 3:01
  we
• 3:02
  package
• 3:02
  those
• 3:02
  data
• 3:03
  to
• 3:04
  get
• 3:04
  real
• 3:04
  time
• 3:05
  information
• 3:06
  that
• 3:06
  then
• 3:06
  inform
• 3:07
  the
• 3:07
  users,
• 3:08
  especially
• 3:09
  workers
• 3:09
  for
• 3:10
  today
• 3:10
  and
• 3:10
  store
• 3:11
  associates,
• 3:11
  on
• 3:12
  how
• 3:12
  to
• 3:12
  process
• 3:13
  their
• 3:13
  actions,
• 3:14
  how
• 3:14
  to
• 3:14
  prioritize
• 3:15
  them,
• 3:15
  and
• 3:16
  how
• 3:16
  to
• 3:16
  then
• 3:16
  gain
• 3:17
  the
• 3:17
  time
• 3:17
  to
• 3:17
  be
• 3:17
  closer
• 3:18
  to
• 3:18
  the
• 3:18
  customers.
• 3:19
  So
• 3:19
  that's
• 3:19
  us
• 3:20
  in
• 3:20
  a
• 3:20
  nutshell.
• 3:21
  So
• 3:21
  Jessica,
• 3:21
  how
• 3:22
  would
• 3:22
  you
• 3:22
  explain
• 3:22
  the
• 3:22
  core.
• 3:23
  Go
• 3:24
  a
• 3:24
  little
• 3:24
  bit
• 3:24
  in
• 3:24
  depth
• 3:24
  there.
• 3:25
  So
• 3:25
  how
• 3:25
  would
• 3:25
  you
• 3:25
  explain
• 3:25
  the
• 3:25
  core
• 3:26
  technology
• 3:26
  of
• 3:26
  what
• 3:26
  scan
• 3:27
  it
• 3:27
  does
• 3:27
  for
• 3:27
  our
• 3:28
  audience?
• 3:29
  Yeah,
• 3:29
  so
• 3:29
  the
• 3:30
  technology
• 3:31
  at
• 3:31
  its
• 3:31
  core
• 3:31
  is
• 3:32
  a
• 3:32
  SDK
• 3:32
  or
• 3:33
  library
• 3:33
  that
• 3:33
  you
• 3:33
  would
• 3:34
  integrate
• 3:35
  into
• 3:35
  any
• 3:36
  existing
• 3:36
  application
• 3:37
  that
• 3:37
  normally
• 3:37
  runs
• 3:38
  on
• 3:38
  devices
• 3:39
  that
• 3:39
  have
• 3:39
  a
• 3:39
  camera.
• 3:40
  So
• 3:40
  this
• 3:40
  means
• 3:40
  that
• 3:41
  cameras
• 3:41
  are
• 3:42
  everywhere.
• 3:42
  At
• 3:42
  the
• 3:42
  core,
• 3:43
  we
• 3:43
  are
• 3:43
  a
• 3:43
  computer
• 3:43
  vision
• 3:44
  company.
• 3:45
  So
• 3:45
  big
• 3:45
  machine
• 3:46
  learning
• 3:47
  techies
• 3:48
  over
• 3:48
  here
• 3:49
  and,
• 3:49
  and
• 3:50
  therefore
• 3:50
  everything
• 3:50
  that
• 3:50
  has
• 3:51
  a
• 3:51
  camera,
• 3:51
  which
• 3:51
  right
• 3:51
  now
• 3:52
  is
• 3:52
  really
• 3:52
  everywhere.
• 3:53
  In
• 3:53
  stores
• 3:53
  we
• 3:53
  have
• 3:54
  fixed
• 3:54
  cameras,
• 3:55
  robots,
• 3:56
  we
• 3:56
  provide
• 3:57
  devices
• 3:57
  to
• 3:57
  our
• 3:57
  store
• 3:58
  associate
• 3:58
  and
• 3:59
  the
• 3:59
  store
• 3:59
  managers
• 4:00
  and
• 4:00
  so
• 4:00
  on.
• 4:00
  So
• 4:01
  everything
• 4:01
  that
• 4:01
  has
• 4:01
  a
• 4:02
  camera
• 4:02
  can
• 4:02
  capture
• 4:03
  the
• 4:03
  environment
• 4:04
  around
• 4:04
  it.
• 4:05
  And
• 4:05
  then
• 4:05
  those
• 4:06
  information
• 4:06
  through,
• 4:07
  for
• 4:07
  instance,
• 4:07
  AR
• 4:08
  overlays
• 4:09
  or
• 4:10
  other
• 4:10
  complex
• 4:11
  AR
• 4:11
  technologies,
• 4:12
  can
• 4:13
  then
• 4:13
  translate
• 4:14
  what
• 4:14
  the
• 4:14
  data
• 4:15
  means
• 4:15
  to
• 4:15
  the
• 4:16
  user.
• 4:16
  So
• 4:16
  we
• 4:17
  make
• 4:17
  that
• 4:17
  the
• 4:17
  whole
• 4:18
  complexity
• 4:19
  more
• 4:19
  transparent
• 4:19
  and
• 4:19
  easy
• 4:20
  to
• 4:20
  understand
• 4:20
  and
• 4:20
  act
• 4:21
  upon.
• 4:21
  Got
• 4:22
  it.
• 4:22
  So
• 4:22
  essentially,
• 4:22
  so
• 4:22
  essentially,
• 4:23
  if
• 4:23
  there's
• 4:23
  a
• 4:23
  camera
• 4:23
  in
• 4:24
  operation
• 4:24
  in
• 4:24
  a
• 4:24
  store
• 4:25
  environment,
• 4:25
  you
• 4:26
  guys
• 4:26
  are
• 4:26
  making
• 4:26
  sure
• 4:26
  that
• 4:26
  it
• 4:27
  works
• 4:27
  to
• 4:27
  the
• 4:27
  best
• 4:27
  of
• 4:28
  its
• 4:28
  possible
• 4:28
  ability.
• 4:29
  That's
• 4:29
  the
• 4:29
  way
• 4:29
  to
• 4:29
  sum
• 4:29
  up
• 4:30
  what
• 4:30
  exactly.
• 4:31
  All
• 4:31
  right.
• 4:31
  Exactly.
• 4:32
  Yeah,
• 4:32
  good,
• 4:32
  good
• 4:33
  starting
• 4:33
  point.
• 4:34
  Nice.
• 4:34
  Love
• 4:34
  it.
• 4:34
  Well,
• 4:35
  Jessica,
• 4:35
  let's
• 4:35
  start
• 4:35
  by
• 4:36
  talking
• 4:36
  about
• 4:36
  some
• 4:36
  of
• 4:36
  the
• 4:37
  retail
• 4:37
  trends
• 4:37
  that
• 4:38
  your
• 4:38
  team
• 4:38
  at
• 4:38
  Scandit
• 4:39
  really
• 4:39
  sees
• 4:39
  hitting
• 4:40
  the
• 4:40
  market
• 4:40
  this
• 4:40
  year.
• 4:41
  And
• 4:41
  especially
• 4:42
  the
• 4:42
  trends
• 4:42
  that
• 4:43
  you've
• 4:43
  seen
• 4:43
  some
• 4:43
  of
• 4:43
  your
• 4:43
  clients
• 4:44
  look
• 4:44
  into
• 4:44
  as
• 4:44
  well.
• 4:44
  Where's
• 4:45
  that
• 4:45
  focus
• 4:45
  for
• 4:46
  them?
• 4:46
  I've
• 4:46
  seen
• 4:47
  like
• 4:47
  really
• 4:47
  three
• 4:48
  main
• 4:48
  trends
• 4:49
  that
• 4:50
  I'm
• 4:50
  particularly
• 4:51
  also
• 4:51
  happy
• 4:52
  to
• 4:52
  see
• 4:53
  surfacing.
• 4:54
  The
• 4:54
  first
• 4:54
  one
• 4:55
  would
• 4:55
  be
• 4:56
  retail
• 4:57
  focusing
• 4:57
  on
• 4:58
  being
• 4:58
  human
• 4:58
  centric
• 4:59
  again.
• 4:59
  I
• 4:59
  think
• 5:00
  after
• 5:00
  the
• 5:00
  last
• 5:00
  couple
• 5:01
  of
• 5:01
  years
• 5:01
  and
• 5:01
  the
• 5:01
  tremendous
• 5:02
  opportunities
• 5:02
  that
• 5:03
  they
• 5:03
  have,
• 5:03
  the
• 5:03
  I
• 5:04
  really
• 5:04
  bring
• 5:04
  into
• 5:05
  the
• 5:05
  market
• 5:05
  that
• 5:06
  for
• 5:06
  a
• 5:07
  second
• 5:07
  we
• 5:07
  forgot
• 5:08
  the.
• 5:08
  That
• 5:09
  technology
• 5:09
  doesn't
• 5:10
  need
• 5:10
  just
• 5:10
  to
• 5:11
  be
• 5:11
  cool,
• 5:11
  but
• 5:11
  it
• 5:11
  needs
• 5:12
  to
• 5:12
  serve
• 5:12
  a
• 5:12
  strong
• 5:13
  purpose.
• 5:13
  So
• 5:14
  I've
• 5:14
  seen
• 5:14
  a
• 5:14
  lot
• 5:14
  of
• 5:14
  our
• 5:15
  retailers
• 5:16
  Focusing
• 5:17
  again
• 5:17
  on
• 5:18
  who
• 5:18
  am
• 5:18
  I
• 5:19
  solving
• 5:19
  a
• 5:19
  problem
• 5:20
  for?
• 5:20
  What
• 5:20
  is
• 5:21
  the
• 5:21
  problem?
• 5:21
  Is
• 5:22
  this
• 5:22
  a
• 5:22
  problem
• 5:22
  that
• 5:23
  they
• 5:23
  feel
• 5:23
  on
• 5:23
  an
• 5:24
  everyday
• 5:24
  basis?
• 5:25
  So
• 5:25
  I've
• 5:26
  observed
• 5:27
  a
• 5:27
  strong
• 5:28
  focus
• 5:28
  on
• 5:28
  human
• 5:28
  centric
• 5:29
  retail
• 5:30
  and
• 5:30
  linked
• 5:31
  to
• 5:31
  this
• 5:32
  particular
• 5:33
  problem
• 5:33
  for
• 5:33
  the
• 5:34
  store
• 5:34
  and
• 5:34
  the
• 5:34
  store
• 5:35
  associates
• 5:35
  in
• 5:35
  particular,
• 5:36
  what
• 5:36
  we
• 5:37
  see
• 5:37
  is
• 5:37
  a
• 5:37
  strong
• 5:37
  need
• 5:38
  to
• 5:38
  gain
• 5:38
  that
• 5:39
  100%
• 5:40
  visibility
• 5:41
  of
• 5:41
  the
• 5:41
  inventory.
• 5:42
  We've
• 5:42
  talked
• 5:43
  a
• 5:43
  lot
• 5:43
  in
• 5:43
  the
• 5:43
  past
• 5:44
  few
• 5:44
  months
• 5:44
  about
• 5:45
  the
• 5:45
  inventory
• 5:46
  distortions
• 5:46
  amounting
• 5:47
  about
• 5:48
  $1.7
• 5:48
  trillion
• 5:49
  globally.
• 5:50
  And
• 5:51
  how
• 5:51
  do
• 5:51
  we
• 5:52
  solve
• 5:52
  that
• 5:52
  challenge
• 5:53
  is
• 5:53
  in
• 5:53
  a
• 5:54
  way
• 5:54
  linked
• 5:54
  to
• 5:54
  our
• 5:55
  workers
• 5:55
  as
• 5:56
  well.
• 5:56
  And
• 5:56
  to
• 5:57
  me,
• 5:57
  this
• 5:57
  comes
• 5:57
  to
• 5:58
  two
• 5:58
  strong
• 5:58
  trends
• 5:59
  of
• 5:59
  looking
• 5:59
  at
• 6:00
  the
• 6:00
  inventory
• 6:01
  management
• 6:01
  that
• 6:01
  we
• 6:01
  have,
• 6:02
  especially
• 6:02
  the
• 6:02
  backrooms
• 6:03
  for
• 6:03
  retail
• 6:04
  and
• 6:04
  how
• 6:04
  we
• 6:04
  receive
• 6:05
  items.
• 6:06
  And
• 6:06
  secondly,
• 6:07
  how
• 6:07
  do
• 6:07
  we
• 6:07
  improve
• 6:08
  shelf
• 6:08
  intelligence
• 6:09
  and
• 6:10
  on
• 6:10
  shelf
• 6:10
  availability
• 6:11
  in
• 6:12
  the
• 6:12
  store?
• 6:13
  Got
• 6:14
  it.
• 6:14
  So,
• 6:14
  Jessica,
• 6:14
  I
• 6:15
  want
• 6:15
  to,
• 6:15
  I
• 6:15
  want
• 6:15
  to,
• 6:15
  I
• 6:15
  want
• 6:15
  to,
• 6:16
  I
• 6:16
  want
• 6:16
  to
• 6:16
  dive
• 6:16
  into
• 6:16
  what
• 6:17
  you
• 6:17
  just
• 6:17
  said
• 6:17
  there.
• 6:17
  So
• 6:17
  because
• 6:18
  you
• 6:18
  said
• 6:18
  something
• 6:18
  that's
• 6:18
  really
• 6:18
  interesting
• 6:19
  that
• 6:19
  I
• 6:19
  don't
• 6:19
  think
• 6:19
  Ann
• 6:19
  and
• 6:19
  I
• 6:19
  have
• 6:20
  ever
• 6:20
  heard
• 6:20
  before
• 6:21
  and
• 6:21
  I
• 6:21
  want
• 6:21
  to
• 6:21
  make
• 6:21
  sure
• 6:21
  that
• 6:22
  I
• 6:22
  caught
• 6:22
  it
• 6:22
  right.
• 6:22
  You
• 6:22
  said,
• 6:23
  you
• 6:23
  said
• 6:23
  the,
• 6:23
  basically
• 6:24
  the
• 6:24
  rise
• 6:24
  of
• 6:25
  AI
• 6:26
  is
• 6:27
  making
• 6:27
  it
• 6:27
  so
• 6:28
  that
• 6:28
  retailers
• 6:29
  are
• 6:29
  just
• 6:30
  really,
• 6:30
  businesses
• 6:31
  in
• 6:31
  general
• 6:31
  can
• 6:31
  focus
• 6:32
  more
• 6:32
  on
• 6:32
  the
• 6:32
  human
• 6:33
  element
• 6:33
  of
• 6:34
  how
• 6:34
  their
• 6:34
  work
• 6:34
  gets
• 6:35
  done,
• 6:35
  which
• 6:35
  should
• 6:36
  ultimately
• 6:36
  be,
• 6:37
  you
• 6:37
  know,
• 6:37
  better
• 6:38
  for
• 6:38
  the
• 6:38
  workforce.
• 6:39
  You're
• 6:39
  saying
• 6:39
  that's
• 6:40
  because
• 6:40
  of
• 6:40
  AI?
• 6:41
  AI
• 6:41
  first
• 6:42
  and
• 6:42
  foremost
• 6:42
  is
• 6:42
  a
• 6:43
  copilot.
• 6:43
  That's
• 6:44
  how
• 6:44
  we
• 6:44
  have
• 6:44
  always
• 6:45
  seen
• 6:45
  it
• 6:45
  at
• 6:45
  Scandit.
• 6:46
  We
• 6:46
  started
• 6:46
  with
• 6:47
  traditional
• 6:47
  AI
• 6:48
  already
• 6:49
  10
• 6:49
  plus
• 6:49
  years
• 6:50
  ago
• 6:50
  because
• 6:50
  that's
• 6:50
  the
• 6:51
  foundation
• 6:51
  of
• 6:51
  machine
• 6:52
  learning
• 6:52
  in
• 6:52
  and
• 6:52
  of
• 6:53
  itself.
• 6:53
  You
• 6:53
  know,
• 6:53
  you
• 6:53
  need
• 6:53
  to
• 6:54
  be
• 6:54
  able
• 6:54
  to
• 6:54
  interpret
• 6:55
  through
• 6:55
  the
• 6:55
  camera
• 6:56
  as
• 6:56
  if
• 6:56
  it
• 6:57
  was
• 6:57
  the
• 6:57
  eyes
• 6:57
  of
• 6:57
  a
• 6:58
  person,
• 6:58
  the
• 6:58
  world
• 6:59
  around
• 6:59
  you.
• 7:00
  And,
• 7:00
  and
• 7:00
  I
• 7:01
  do
• 7:01
  believe
• 7:01
  that
• 7:02
  initially
• 7:04
  the
• 7:05
  tremendous
• 7:05
  potential
• 7:06
  that
• 7:06
  AI
• 7:06
  has
• 7:07
  to
• 7:07
  also
• 7:07
  replace
• 7:08
  the
• 7:08
  human
• 7:08
  factor
• 7:09
  was
• 7:09
  tempting.
• 7:10
  And
• 7:10
  we
• 7:10
  had
• 7:11
  to
• 7:11
  experiment
• 7:12
  as
• 7:12
  retail
• 7:13
  tech
• 7:14
  and
• 7:14
  technology.
• 7:15
  And
• 7:16
  80%
• 7:17
  of
• 7:17
  AI
• 7:17
  project
• 7:18
  failed
• 7:19
  last
• 7:19
  year.
• 7:19
  And
• 7:19
  I
• 7:20
  think
• 7:20
  this
• 7:20
  is
• 7:20
  telling
• 7:20
  a
• 7:21
  lot.
• 7:21
  And
• 7:21
  that's
• 7:21
  why
• 7:21
  I'm
• 7:22
  seeing
• 7:22
  the
• 7:22
  purpose
• 7:23
  being
• 7:23
  back.
• 7:24
  Without
• 7:24
  the
• 7:24
  purpose,
• 7:25
  technology
• 7:26
  really
• 7:26
  struggles.
• 7:28
  Whereas
• 7:28
  the
• 7:29
  AI
• 7:29
  led
• 7:30
  projects
• 7:30
  that
• 7:31
  we're
• 7:31
  seeing
• 7:31
  be
• 7:31
  more
• 7:31
  successful
• 7:32
  in
• 7:32
  the
• 7:32
  market
• 7:33
  are
• 7:33
  the
• 7:33
  ones
• 7:34
  that
• 7:34
  use
• 7:35
  AI
• 7:35
  as
• 7:36
  an
• 7:36
  enhancer
• 7:37
  of
• 7:37
  the
• 7:38
  worker
• 7:38
  or
• 7:39
  for
• 7:40
  the
• 7:40
  customer
• 7:41
  instead
• 7:41
  of,
• 7:41
  instead
• 7:42
  of
• 7:42
  the
• 7:42
  worker.
• 7:43
  Does
• 7:43
  that
• 7:43
  make
• 7:43
  sense?
• 7:44
  It
• 7:44
  does,
• 7:44
  actually,
• 7:45
  it
• 7:45
  does.
• 7:45
  It's
• 7:45
  really,
• 7:45
  it's,
• 7:46
  it's,
• 7:46
  it's
• 7:46
  very
• 7:47
  well
• 7:47
  articulated
• 7:47
  too
• 7:48
  because
• 7:48
  you're
• 7:48
  saying
• 7:48
  like
• 7:49
  yes,
• 7:49
  AI
• 7:50
  can
• 7:50
  do
• 7:50
  that,
• 7:51
  but
• 7:52
  at,
• 7:52
  at
• 7:52
  the
• 7:52
  same,
• 7:53
  by
• 7:53
  the
• 7:53
  same
• 7:53
  token,
• 7:53
  you
• 7:54
  have
• 7:54
  to
• 7:54
  deploy
• 7:54
  it
• 7:54
  in
• 7:54
  the
• 7:55
  right
• 7:55
  areas.
• 7:55
  And
• 7:56
  you're
• 7:56
  saying
• 7:56
  what
• 7:56
  you're
• 7:56
  seeing
• 7:57
  now
• 7:57
  is
• 7:57
  that
• 7:58
  area
• 7:58
  of
• 7:58
  deployment
• 7:59
  specific
• 7:59
  being
• 8:00
  in
• 8:00
  the
• 8:01
  store
• 8:01
  around
• 8:02
  inventory
• 8:02
  and
• 8:03
  making
• 8:03
  the
• 8:03
  workers
• 8:03
  more
• 8:04
  productive.
• 8:04
  Is
• 8:04
  that
• 8:05
  right?
• 8:06
  It's
• 8:06
  exactly
• 8:06
  right.
• 8:07
  And
• 8:07
  the
• 8:08
  link
• 8:08
  here
• 8:08
  is
• 8:09
  truly
• 8:09
  that
• 8:09
  if
• 8:09
  you
• 8:10
  want
• 8:10
  to
• 8:10
  provide
• 8:10
  the
• 8:10
  right
• 8:11
  items
• 8:11
  to
• 8:11
  your
• 8:11
  customers
• 8:12
  when
• 8:12
  they
• 8:13
  want
• 8:13
  it
• 8:13
  and
• 8:14
  in
• 8:14
  the
• 8:14
  right
• 8:14
  place
• 8:15
  in
• 8:15
  the
• 8:15
  store,
• 8:16
  first
• 8:16
  of
• 8:16
  all,
• 8:17
  you
• 8:17
  need
• 8:17
  to
• 8:17
  be
• 8:17
  able
• 8:17
  to
• 8:18
  know
• 8:18
  what
• 8:19
  the
• 8:19
  shelf
• 8:19
  is
• 8:19
  supposed
• 8:20
  to
• 8:20
  look
• 8:20
  like.
• 8:21
  You
• 8:21
  need
• 8:21
  to
• 8:21
  be
• 8:21
  able
• 8:21
  to
• 8:21
  understand
• 8:22
  the
• 8:23
  state
• 8:23
  of
• 8:23
  the
• 8:23
  shelf.
• 8:24
  So
• 8:24
  that's
• 8:25
  where
• 8:25
  the
• 8:25
  on
• 8:25
  shelf
• 8:25
  availability
• 8:26
  comes
• 8:26
  into
• 8:27
  place.
• 8:27
  But
• 8:27
  this
• 8:27
  is
• 8:28
  only
• 8:28
  half
• 8:28
  of
• 8:28
  the
• 8:28
  equation.
• 8:29
  The
• 8:29
  other
• 8:30
  half
• 8:30
  for
• 8:30
  the
• 8:30
  associates
• 8:31
  is
• 8:31
  now,
• 8:32
  well,
• 8:32
  there
• 8:33
  are
• 8:33
  items
• 8:33
  missing.
• 8:34
  How
• 8:34
  do
• 8:35
  I
• 8:35
  prioritize
• 8:37
  what
• 8:37
  I
• 8:37
  replenish?
• 8:38
  So
• 8:38
  my
• 8:39
  actions
• 8:39
  based
• 8:40
  on
• 8:40
  one,
• 8:41
  what
• 8:41
  do
• 8:41
  I
• 8:41
  have
• 8:41
  on
• 8:42
  the
• 8:42
  balance
• 8:42
  on
• 8:42
  hand?
• 8:43
  If
• 8:43
  I
• 8:43
  don't
• 8:43
  have
• 8:43
  any
• 8:43
  stock,
• 8:44
  my
• 8:45
  purpose
• 8:45
  going
• 8:45
  in
• 8:46
  the
• 8:46
  back
• 8:46
  room
• 8:46
  is
• 8:46
  still
• 8:47
  not
• 8:48
  going
• 8:48
  to
• 8:48
  be
• 8:48
  solving
• 8:49
  a
• 8:50
  problem
• 8:50
  for
• 8:50
  the
• 8:50
  customer.
• 8:51
  And
• 8:51
  secondly,
• 8:53
  how
• 8:53
  am
• 8:53
  I
• 8:53
  going
• 8:53
  to
• 8:54
  prioritize
• 8:54
  the
• 8:54
  action
• 8:55
  in
• 8:55
  ways
• 8:55
  that
• 8:55
  creates
• 8:55
  a
• 8:56
  sales
• 8:56
  lift
• 8:56
  for
• 8:56
  the
• 8:57
  retailer?
• 8:57
  Because
• 8:58
  ultimately
• 8:58
  this
• 8:59
  is
• 8:59
  very
• 8:59
  important
• 8:59
  for
• 9:00
  our
• 9:00
  retailers.
• 9:00
  They
• 9:01
  need
• 9:01
  to
• 9:01
  sell
• 9:01
  more
• 9:02
  and
• 9:02
  therefore
• 9:03
  use
• 9:03
  balance
• 9:04
  on
• 9:04
  hand.
• 9:04
  So
• 9:05
  you
• 9:05
  need
• 9:05
  to
• 9:05
  know
• 9:05
  that
• 9:06
  inventory
• 9:07
  visibility,
• 9:07
  as
• 9:07
  we
• 9:08
  were
• 9:08
  saying
• 9:08
  before,
• 9:09
  and
• 9:09
  you
• 9:09
  also
• 9:09
  need
• 9:10
  to
• 9:10
  be
• 9:10
  able
• 9:10
  to
• 9:11
  then
• 9:11
  take
• 9:11
  and
• 9:12
  prioritize
• 9:12
  the
• 9:12
  items
• 9:13
  that
• 9:13
  are
• 9:13
  the
• 9:13
  best
• 9:14
  sellers,
• 9:14
  the
• 9:14
  ones
• 9:14
  with
• 9:15
  the
• 9:15
  best
• 9:15
  margins
• 9:16
  and
• 9:16
  things
• 9:16
  like
• 9:16
  that.
• 9:17
  Right.
• 9:17
  And,
• 9:18
  and
• 9:18
  this
• 9:18
  is,
• 9:18
  and
• 9:18
  this
• 9:19
  is
• 9:19
  really
• 9:19
  interesting.
• 9:19
  This
• 9:19
  I'm
• 9:19
  going
• 9:20
  to
• 9:20
  you
• 9:20
  on.
• 9:20
  This
• 9:20
  is
• 9:20
  really
• 9:20
  interesting
• 9:21
  because
• 9:21
  like
• 9:22
  what
• 9:22
  Jessica
• 9:22
  is
• 9:22
  getting
• 9:23
  at
• 9:23
  here
• 9:23
  is
• 9:23
  the
• 9:23
  whole
• 9:23
  idea
• 9:23
  of
• 9:24
  the
• 9:24
  next
• 9:24
  best
• 9:24
  action
• 9:25
  that
• 9:25
  we've
• 9:25
  talked
• 9:25
  about
• 9:25
  through
• 9:25
  AI.
• 9:26
  And
• 9:26
  so
• 9:26
  now
• 9:26
  the
• 9:27
  next
• 9:27
  best
• 9:27
  action
• 9:28
  comes
• 9:28
  into
• 9:28
  every
• 9:29
  software
• 9:29
  provider's
• 9:30
  tech
• 9:31
  that
• 9:31
  is
• 9:31
  has
• 9:32
  a
• 9:32
  software
• 9:32
  component
• 9:33
  to
• 9:33
  it
• 9:33
  too.
• 9:33
  Right.
• 9:34
  So
• 9:34
  like,
• 9:34
  you
• 9:34
  know,
• 9:34
  scan,
• 9:35
  it's
• 9:35
  going
• 9:35
  in
• 9:35
  and
• 9:35
  they're
• 9:36
  helping
• 9:36
  you
• 9:36
  scan
• 9:36
  the,
• 9:37
  you
• 9:37
  know,
• 9:37
  the
• 9:37
  items
• 9:38
  more
• 9:38
  efficiently
• 9:38
  on
• 9:38
  shelf.
• 9:39
  They
• 9:39
  can
• 9:39
  potentially
• 9:39
  provide
• 9:40
  you
• 9:40
  the
• 9:40
  next
• 9:40
  best
• 9:40
  action
• 9:41
  you
• 9:41
  should
• 9:41
  take
• 9:41
  too.
• 9:42
  Which
• 9:42
  is
• 9:42
  a
• 9:42
  whole
• 9:43
  new
• 9:43
  realm
• 9:43
  of
• 9:43
  discussion
• 9:44
  around
• 9:44
  technology
• 9:45
  that
• 9:45
  we've
• 9:45
  not
• 9:45
  had
• 9:45
  before
• 9:46
  on
• 9:46
  this
• 9:46
  show.
• 9:47
  Yeah,
• 9:48
  absolutely.
• 9:48
  I
• 9:48
  mean,
• 9:49
  I
• 9:49
  think
• 9:49
  it's,
• 9:50
  it's,
• 9:50
  it's
• 9:51
  getting
• 9:51
  into
• 9:51
  the
• 9:51
  core
• 9:52
  of
• 9:52
  what
• 9:52
  we
• 9:52
  wanted
• 9:52
  to
• 9:52
  talk
• 9:53
  about
• 9:53
  today
• 9:53
  too,
• 9:54
  which
• 9:54
  is
• 9:54
  how
• 9:55
  are
• 9:55
  you,
• 9:55
  how
• 9:56
  are
• 9:56
  you
• 9:56
  making
• 9:56
  the
• 9:57
  right
• 9:57
  software
• 9:58
  investments
• 9:58
  here?
• 9:58
  Like
• 9:59
  I
• 9:59
  think
• 9:59
  we've
• 9:59
  been
• 9:59
  talking
• 10:00
  so
• 10:00
  much
• 10:00
  about
• 10:00
  the,
• 10:01
  the
• 10:01
  hard
• 10:01
  new
• 10:01
  elevation
• 10:02
  into
• 10:02
  stores.
• 10:03
  Yeah.
• 10:03
  And
• 10:03
  it's
• 10:04
  really
• 10:04
  about
• 10:04
  how
• 10:05
  are
• 10:05
  you
• 10:05
  making
• 10:05
  sure
• 10:05
  that
• 10:06
  your
• 10:06
  software
• 10:07
  is
• 10:07
  making
• 10:08
  the,
• 10:08
  is
• 10:08
  allowing
• 10:09
  your,
• 10:09
  your
• 10:10
  stores,
• 10:10
  teams,
• 10:10
  members
• 10:11
  to
• 10:11
  do
• 10:11
  the
• 10:11
  right
• 10:12
  next
• 10:13
  thing
• 10:13
  versus,
• 10:14
  you
• 10:14
  know,
• 10:14
  putting
• 10:15
  a
• 10:15
  bunch
• 10:15
  of
• 10:15
  tech
• 10:15
  in
• 10:16
  there
• 10:16
  and
• 10:16
  hoping
• 10:17
  that
• 10:17
  it
• 10:17
  survives
• 10:18
  and
• 10:19
  that
• 10:19
  you
• 10:19
  have
• 10:20
  successful
• 10:20
  results.
• 10:20
  Like
• 10:21
  Jessica
• 10:21
  was
• 10:21
  saying,
• 10:22
  it's
• 10:22
  not
• 10:22
  you're
• 10:23
  not
• 10:23
  getting
• 10:23
  the
• 10:23
  results
• 10:23
  by
• 10:24
  just
• 10:24
  throwing
• 10:24
  the
• 10:24
  tech
• 10:25
  in
• 10:25
  there.
• 10:25
  Right,
• 10:26
  right.
• 10:26
  All
• 10:27
  right,
• 10:27
  well,
• 10:27
  Jessica,
• 10:27
  so
• 10:27
  like,
• 10:28
  even
• 10:28
  with
• 10:28
  that
• 10:28
  said,
• 10:28
  like,
• 10:28
  it's
• 10:29
  a
• 10:29
  very
• 10:29
  cool
• 10:29
  angle
• 10:29
  to
• 10:30
  think
• 10:30
  about
• 10:30
  now
• 10:30
  in
• 10:30
  terms
• 10:31
  of
• 10:31
  like,
• 10:31
  how
• 10:31
  software
• 10:31
  providers
• 10:32
  are
• 10:32
  going
• 10:32
  to
• 10:32
  go
• 10:32
  to
• 10:33
  market
• 10:33
  and
• 10:33
  how
• 10:33
  AI
• 10:34
  is
• 10:34
  going
• 10:34
  to
• 10:34
  impact
• 10:34
  them
• 10:35
  as
• 10:35
  well,
• 10:35
  especially
• 10:35
  around
• 10:36
  this
• 10:36
  next
• 10:36
  best
• 10:36
  action
• 10:36
  idea.
• 10:37
  But
• 10:37
  you
• 10:38
  know,
• 10:38
  you
• 10:38
  know,
• 10:38
  at
• 10:39
  the
• 10:39
  end
• 10:39
  of
• 10:39
  the
• 10:39
  day,
• 10:39
  like
• 10:39
  none
• 10:39
  of
• 10:40
  all
• 10:40
  this
• 10:40
  kind
• 10:41
  of
• 10:41
  talk
• 10:41
  is
• 10:41
  cheap
• 10:41
  and,
• 10:42
  and
• 10:42
  the
• 10:43
  technologies
• 10:43
  are,
• 10:44
  are
• 10:44
  not
• 10:44
  cheap
• 10:45
  at
• 10:45
  all.
• 10:45
  So
• 10:45
  like,
• 10:46
  how
• 10:47
  are
• 10:47
  you
• 10:47
  and
• 10:47
  your
• 10:48
  clients
• 10:48
  and
• 10:48
  others
• 10:48
  best,
• 10:49
  and
• 10:49
  how
• 10:49
  are
• 10:49
  the
• 10:49
  best
• 10:49
  in
• 10:50
  class
• 10:50
  retailers
• 10:51
  successfully
• 10:52
  trying
• 10:52
  to
• 10:53
  attack,
• 10:53
  you
• 10:53
  know,
• 10:54
  what
• 10:54
  you've
• 10:54
  talked
• 10:54
  about
• 10:55
  in
• 10:55
  concept
• 10:55
  at
• 10:55
  the
• 10:55
  store
• 10:56
  level?
• 10:57
  Yeah.
• 10:57
  So
• 10:58
  Chris,
• 10:58
  that's
• 10:58
  a,
• 10:58
  that's
• 10:59
  a
• 10:59
  great
• 10:59
  question.
• 10:59
  And
• 10:59
  as
• 11:00
  you
• 11:00
  said,
• 11:00
  you
• 11:00
  know,
• 11:00
  technology
• 11:01
  is
• 11:02
  not
• 11:02
  the
• 11:02
  cheapest
• 11:02
  thing
• 11:03
  to,
• 11:03
  to
• 11:03
  invest
• 11:04
  in,
• 11:04
  so
• 11:04
  it
• 11:04
  needs
• 11:04
  to
• 11:04
  be
• 11:05
  done
• 11:05
  with
• 11:05
  a,
• 11:05
  with
• 11:05
  a
• 11:06
  strong
• 11:06
  intention.
• 11:07
  So
• 11:07
  the
• 11:08
  frameworks
• 11:08
  that
• 11:08
  I've
• 11:09
  seen
• 11:09
  working
• 11:09
  best
• 11:10
  are
• 11:10
  normally
• 11:10
  made
• 11:11
  in
• 11:11
  four
• 11:11
  steps.
• 11:12
  You
• 11:12
  know,
• 11:12
  it's
• 11:12
  a
• 11:12
  little
• 11:12
  bit,
• 11:13
  a
• 11:13
  little
• 11:13
  bit
• 11:13
  of
• 11:13
  a
• 11:13
  simplification,
• 11:14
  but
• 11:14
  nonetheless,
• 11:15
  let's,
• 11:15
  let's
• 11:15
  try
• 11:16
  to
• 11:16
  go
• 11:16
  in
• 11:16
  four
• 11:16
  steps.
• 11:17
  So
• 11:17
  the
• 11:17
  first
• 11:18
  one
• 11:18
  is
• 11:18
  auditing
• 11:19
  your
• 11:19
  workflows.
• 11:20
  I've
• 11:20
  seen
• 11:20
  from
• 11:21
  our
• 11:21
  customers
• 11:21
  that
• 11:22
  the
• 11:22
  most
• 11:22
  successful
• 11:23
  projects
• 11:24
  had
• 11:24
  a
• 11:24
  clear
• 11:25
  vision
• 11:26
  about
• 11:26
  what
• 11:26
  their
• 11:27
  workflows
• 11:28
  was
• 11:28
  intended
• 11:28
  to
• 11:28
  look
• 11:29
  at
• 11:29
  at
• 11:29
  the
• 11:29
  end
• 11:30
  of
• 11:30
  the
• 11:30
  process.
• 11:30
  So
• 11:31
  not
• 11:31
  only
• 11:31
  the
• 11:32
  pain
• 11:32
  that
• 11:32
  they
• 11:32
  want
• 11:32
  to
• 11:33
  solve,
• 11:33
  which
• 11:33
  as
• 11:33
  we
• 11:34
  said
• 11:34
  before,
• 11:34
  needed
• 11:34
  to
• 11:35
  be
• 11:35
  tangible,
• 11:35
  but
• 11:36
  also
• 11:36
  how,
• 11:37
  what
• 11:38
  was
• 11:38
  the
• 11:38
  key
• 11:39
  result,
• 11:39
  how
• 11:40
  would
• 11:40
  they
• 11:40
  go
• 11:41
  and
• 11:41
  measure
• 11:41
  it?
• 11:42
  So
• 11:42
  would
• 11:42
  it
• 11:42
  be
• 11:43
  efficiency?
• 11:43
  And
• 11:44
  if
• 11:44
  yet
• 11:44
  what
• 11:44
  type
• 11:45
  of
• 11:45
  efficiency
• 11:45
  would
• 11:46
  it
• 11:46
  be
• 11:46
  cost
• 11:47
  reduction.
• 11:47
  And
• 11:47
  if
• 11:48
  in
• 11:48
  that
• 11:48
  case,
• 11:49
  what
• 11:49
  type
• 11:49
  of
• 11:50
  cost
• 11:50
  are
• 11:50
  you
• 11:50
  tackling?
• 11:51
  And
• 11:51
  so
• 11:51
  on.
• 11:51
  So
• 11:52
  first
• 11:52
  looking
• 11:53
  at
• 11:53
  what
• 11:54
  type
• 11:54
  of
• 11:54
  pain
• 11:54
  points
• 11:55
  you
• 11:55
  want
• 11:55
  to
• 11:55
  solve
• 11:55
  and
• 11:56
  how
• 11:56
  the
• 11:56
  workflow
• 11:57
  can
• 11:57
  empower
• 11:58
  that
• 11:59
  objective.
• 12:00
  The
• 12:00
  second
• 12:00
  part
• 12:00
  of
• 12:01
  the
• 12:02
  workflow
• 12:02
  or
• 12:02
  framework
• 12:03
  that
• 12:03
  we
• 12:04
  see
• 12:04
  working
• 12:04
  the
• 12:05
  best
• 12:05
  is
• 12:06
  leveraging
• 12:06
  your
• 12:06
  infrastructure.
• 12:07
  That's
• 12:08
  where
• 12:08
  we
• 12:09
  can
• 12:09
  transform
• 12:10
  what
• 12:10
  we
• 12:10
  said
• 12:11
  before
• 12:11
  tech
• 12:11
  is
• 12:12
  expensive
• 12:12
  into
• 12:13
  tech
• 12:14
  is
• 12:15
  still
• 12:15
  not
• 12:15
  that
• 12:16
  expensive
• 12:16
  because
• 12:16
  we
• 12:17
  have
• 12:17
  a
• 12:17
  lot
• 12:18
  of
• 12:18
  infrastructure
• 12:19
  that
• 12:19
  still
• 12:19
  can
• 12:20
  serve
• 12:20
  a
• 12:20
  purpose.
• 12:20
  We
• 12:21
  have
• 12:21
  legacy
• 12:22
  systems
• 12:22
  that
• 12:22
  we're
• 12:22
  not
• 12:23
  going
• 12:23
  to
• 12:23
  just
• 12:23
  like
• 12:23
  tear
• 12:24
  down
• 12:24
  completely
• 12:25
  and
• 12:25
  build
• 12:26
  anew.
• 12:27
  We
• 12:27
  have
• 12:27
  a
• 12:27
  lot
• 12:27
  of
• 12:28
  tools
• 12:28
  that
• 12:28
  our
• 12:29
  associates
• 12:29
  already
• 12:30
  have
• 12:30
  and
• 12:31
  oftentimes
• 12:31
  our
• 12:32
  customers
• 12:32
  ask
• 12:32
  us,
• 12:33
  how
• 12:33
  do
• 12:33
  I
• 12:34
  look
• 12:34
  at
• 12:34
  the
• 12:34
  tools
• 12:35
  that
• 12:35
  they
• 12:35
  have?
• 12:36
  Can
• 12:36
  I
• 12:36
  reduce
• 12:36
  the
• 12:37
  amount
• 12:37
  of
• 12:37
  tools
• 12:37
  that
• 12:38
  I
• 12:38
  provide
• 12:38
  them
• 12:38
  so
• 12:38
  that
• 12:39
  they
• 12:39
  have
• 12:39
  one
• 12:39
  that
• 12:39
  does
• 12:40
  everything?
• 12:41
  But
• 12:41
  as
• 12:41
  we
• 12:41
  said
• 12:41
  before,
• 12:42
  store
• 12:42
  manager
• 12:43
  already
• 12:44
  have
• 12:44
  tools
• 12:44
  and
• 12:45
  then
• 12:45
  store
• 12:45
  associates
• 12:46
  have
• 12:46
  as
• 12:46
  well.
• 12:47
  And
• 12:47
  there
• 12:47
  may
• 12:48
  be
• 12:48
  some
• 12:48
  more
• 12:49
  mobile
• 12:49
  solution
• 12:50
  like
• 12:50
  tablets
• 12:50
  or
• 12:50
  iPads
• 12:51
  already
• 12:51
  in
• 12:51
  store.
• 12:52
  So
• 12:52
  how
• 12:52
  can
• 12:52
  we
• 12:53
  leverage
• 12:53
  the
• 12:53
  existing
• 12:54
  infrastructure?
• 12:55
  And
• 12:56
  then
• 12:56
  we
• 12:56
  go
• 12:56
  into
• 12:57
  the
• 12:57
  flexibility
• 12:57
  of
• 12:58
  the
• 12:58
  technology.
• 12:58
  That's
• 12:58
  where
• 12:59
  you
• 12:59
  need
• 12:59
  to
• 13:00
  look
• 13:00
  at
• 13:00
  hardware
• 13:00
  and
• 13:00
  software
• 13:01
  at
• 13:01
  the
• 13:01
  same
• 13:01
  time.
• 13:02
  So
• 13:02
  we
• 13:02
  already
• 13:02
  mentioned
• 13:03
  something
• 13:03
  on
• 13:03
  the
• 13:04
  hardware,
• 13:04
  but
• 13:05
  then
• 13:05
  the
• 13:05
  software
• 13:05
  needs
• 13:06
  also
• 13:06
  to
• 13:07
  be
• 13:07
  a
• 13:07
  solution
• 13:07
  that
• 13:07
  is
• 13:07
  easy
• 13:08
  to
• 13:08
  integrate.
• 13:09
  Oftentimes
• 13:10
  our
• 13:10
  customer
• 13:11
  have
• 13:11
  asked
• 13:11
  us,
• 13:11
  hey,
• 13:12
  I
• 13:12
  cannot
• 13:13
  redo
• 13:13
  all
• 13:13
  my
• 13:13
  applications,
• 13:14
  so
• 13:15
  how
• 13:15
  can
• 13:15
  I
• 13:16
  work
• 13:16
  on
• 13:16
  maybe
• 13:17
  the
• 13:17
  application
• 13:17
  that
• 13:17
  I'm
• 13:18
  rebuilding
• 13:18
  now
• 13:19
  that
• 13:19
  is
• 13:19
  native?
• 13:20
  There
• 13:20
  are
• 13:20
  a
• 13:20
  lot
• 13:20
  of
• 13:20
  different
• 13:21
  frameworks
• 13:21
  and
• 13:21
  operating
• 13:22
  system,
• 13:23
  but
• 13:23
  sometimes
• 13:23
  we
• 13:23
  don't
• 13:24
  have
• 13:24
  the
• 13:24
  IT
• 13:24
  budget
• 13:25
  or
• 13:26
  the
• 13:27
  time
• 13:27
  to
• 13:27
  redo
• 13:28
  an
• 13:28
  application.
• 13:28
  So
• 13:29
  can
• 13:29
  I
• 13:29
  use
• 13:30
  out
• 13:30
  of
• 13:30
  the
• 13:30
  box
• 13:31
  or
• 13:31
  no
• 13:31
  code
• 13:32
  solution
• 13:33
  to
• 13:33
  still
• 13:33
  unlock
• 13:34
  the
• 13:34
  software
• 13:34
  benefits?
• 13:35
  And
• 13:35
  last
• 13:36
  but
• 13:36
  not
• 13:36
  the
• 13:36
  least
• 13:37
  is
• 13:37
  prioritize
• 13:38
  roi.
• 13:39
  All
• 13:39
  the
• 13:39
  C
• 13:40
  level
• 13:40
  that
• 13:40
  we
• 13:41
  work
• 13:41
  with
• 13:42
  keeps
• 13:42
  on
• 13:42
  telling
• 13:43
  us
• 13:43
  there's
• 13:44
  no
• 13:44
  investment
• 13:45
  if
• 13:45
  the
• 13:45
  ROI
• 13:46
  is
• 13:46
  not
• 13:46
  at
• 13:46
  least
• 13:46
  five
• 13:47
  times
• 13:47
  the
• 13:48
  cost.
• 13:48
  So
• 13:49
  ROI
• 13:50
  at
• 13:50
  least
• 13:51
  five
• 13:51
  times.
• 13:51
  Okay.
• 13:52
  That's
• 13:52
  what,
• 13:52
  what
• 13:52
  they
• 13:53
  tell
• 13:53
  us.
• 13:53
  So
• 13:54
  it's
• 13:55
  not
• 13:55
  a,
• 13:55
  it's
• 13:55
  not
• 13:55
  an
• 13:56
  easy
• 13:57
  challenge,
• 13:58
  but
• 13:58
  nonetheless,
• 13:58
  I
• 13:58
  think
• 13:59
  that
• 13:59
  that
• 13:59
  really
• 13:59
  tackles
• 14:00
  your
• 14:00
  question
• 14:01
  because
• 14:01
  you
• 14:01
  ask,
• 14:02
  you
• 14:02
  said
• 14:02
  rightfully
• 14:03
  so,
• 14:03
  technology
• 14:03
  is
• 14:04
  not,
• 14:04
  is
• 14:04
  not
• 14:05
  cheap.
• 14:05
  But
• 14:05
  if
• 14:06
  the
• 14:06
  ROI
• 14:06
  is
• 14:06
  worth
• 14:07
  it
• 14:07
  and
• 14:08
  the
• 14:08
  vision
• 14:08
  is
• 14:08
  there,
• 14:09
  then
• 14:09
  it
• 14:10
  accomplished
• 14:10
  something
• 14:10
  meaningful.
• 14:12
  Yeah.
• 14:13
  But
• 14:13
  the
• 14:13
  key
• 14:13
  piece
• 14:13
  in
• 14:13
  that
• 14:14
  framework
• 14:14
  being
• 14:14
  like
• 14:14
  you
• 14:15
  have
• 14:15
  to,
• 14:16
  the
• 14:16
  key
• 14:16
  thing
• 14:17
  I'm
• 14:17
  hearing
• 14:17
  from
• 14:17
  a
• 14:17
  lot
• 14:17
  of
• 14:17
  people
• 14:18
  right
• 14:18
  now,
• 14:18
  and
• 14:18
  I
• 14:18
  know
• 14:18
  answering
• 14:19
  the
• 14:19
  same
• 14:19
  thing
• 14:19
  too,
• 14:20
  is
• 14:20
  like,
• 14:20
  there's
• 14:20
  a
• 14:20
  sweat
• 14:21
  your
• 14:21
  assets
• 14:21
  approach
• 14:22
  to
• 14:22
  this.
• 14:22
  Like
• 14:22
  you're,
• 14:22
  you're
• 14:23
  not
• 14:23
  just
• 14:23
  going
• 14:23
  to
• 14:23
  dive
• 14:23
  in
• 14:24
  and
• 14:24
  start
• 14:24
  rebuilding
• 14:25
  everything
• 14:25
  you've
• 14:25
  got
• 14:25
  to
• 14:25
  use
• 14:26
  what
• 14:26
  you've
• 14:26
  already
• 14:27
  got
• 14:27
  to
• 14:27
  the
• 14:27
  best
• 14:28
  of
• 14:28
  its
• 14:28
  ability
• 14:29
  and
• 14:29
  then
• 14:29
  keep
• 14:30
  it
• 14:30
  as
• 14:30
  flexible
• 14:30
  as
• 14:30
  you
• 14:30
  can
• 14:31
  with
• 14:31
  the
• 14:31
  software
• 14:32
  side
• 14:32
  of
• 14:32
  things
• 14:32
  as
• 14:32
  well.
• 14:33
  That's
• 14:33
  the
• 14:33
  other
• 14:33
  key
• 14:33
  point
• 14:33
  I'm
• 14:34
  hearing
• 14:34
  from
• 14:34
  you
• 14:34
  in
• 14:35
  addition
• 14:35
  to
• 14:35
  trying
• 14:35
  to
• 14:35
  get
• 14:36
  that
• 14:36
  roi.
• 14:37
  Yeah.
• 14:37
  And
• 14:37
  what
• 14:37
  I've
• 14:38
  heard
• 14:38
  that
• 14:38
  translated
• 14:39
  with
• 14:39
  is
• 14:39
  something
• 14:40
  that
• 14:40
  maybe
• 14:40
  took
• 14:41
  six
• 14:41
  months
• 14:41
  to
• 14:41
  do
• 14:42
  a
• 14:42
  couple
• 14:42
  of
• 14:42
  years
• 14:42
  ago.
• 14:43
  Now
• 14:43
  our
• 14:43
  customers
• 14:44
  are
• 14:44
  asking
• 14:44
  us,
• 14:44
  well,
• 14:45
  can
• 14:45
  we
• 14:45
  push
• 14:46
  an
• 14:46
  update
• 14:47
  in
• 14:47
  half
• 14:48
  a
• 14:48
  day?
• 14:49
  Can
• 14:49
  we
• 14:49
  roll
• 14:50
  out
• 14:50
  a
• 14:50
  new
• 14:50
  technology
• 14:51
  in
• 14:52
  90
• 14:52
  days?
• 14:53
  And
• 14:54
  the
• 14:54
  reply
• 14:54
  must
• 14:55
  be,
• 14:55
  yes.
• 14:55
  You
• 14:55
  cannot
• 14:56
  say,
• 14:56
  I'm
• 14:56
  sorry,
• 14:57
  I
• 14:57
  need
• 14:57
  a
• 14:58
  year
• 14:58
  for
• 14:58
  that.
• 14:59
  And
• 14:59
  for,
• 15:00
  for
• 15:00
  me,
• 15:00
  you
• 15:01
  can
• 15:01
  only
• 15:01
  do
• 15:01
  that
• 15:02
  using
• 15:02
  what
• 15:02
  you
• 15:03
  have.
• 15:03
  At
• 15:03
  least
• 15:03
  partially.
• 15:04
  Right.
• 15:05
  And
• 15:05
  into
• 15:06
  your
• 15:06
  earlier
• 15:06
  point
• 15:07
  too,
• 15:07
  Jessica,
• 15:07
  like,
• 15:08
  like
• 15:08
  Chris
• 15:08
  was
• 15:09
  saying,
• 15:09
  we've
• 15:09
  been
• 15:09
  hearing
• 15:10
  directly
• 15:10
  from
• 15:10
  retailers
• 15:11
  like
• 15:11
  that
• 15:12
  that
• 15:12
  also
• 15:13
  needs
• 15:13
  to
• 15:13
  be
• 15:13
  able
• 15:13
  to
• 15:13
  integrate
• 15:14
  into
• 15:15
  the
• 15:15
  existing
• 15:16
  systems
• 15:16
  that
• 15:16
  they
• 15:16
  already
• 15:16
  have.
• 15:17
  Like
• 15:17
  we've,
• 15:17
  I've
• 15:17
  heard
• 15:18
  retailers
• 15:18
  say
• 15:18
  point
• 15:19
  blank,
• 15:19
  I
• 15:19
  will
• 15:19
  not
• 15:20
  invest
• 15:20
  in
• 15:20
  something
• 15:21
  Unless
• 15:21
  it
• 15:21
  can
• 15:21
  talk
• 15:22
  to
• 15:22
  the
• 15:22
  other
• 15:22
  systems
• 15:23
  that
• 15:23
  are
• 15:23
  already
• 15:23
  at
• 15:24
  play
• 15:24
  in
• 15:25
  my
• 15:25
  store
• 15:25
  ecosystem.
• 15:26
  So
• 15:26
  I
• 15:26
  have
• 15:26
  to
• 15:27
  imagine
• 15:27
  that,
• 15:27
  that
• 15:28
  that's
• 15:28
  a
• 15:28
  big
• 15:28
  part
• 15:28
  of
• 15:28
  this
• 15:29
  too.
• 15:30
  That's
• 15:30
  spot
• 15:30
  on.
• 15:30
  And
• 15:30
  for
• 15:31
  instance,
• 15:31
  and
• 15:31
  one
• 15:31
  of
• 15:32
  our
• 15:32
  customers,
• 15:32
  like
• 15:33
  recently
• 15:33
  a
• 15:34
  big
• 15:34
  luxury
• 15:34
  European
• 15:36
  company
• 15:37
  so
• 15:37
  active
• 15:37
  in
• 15:37
  the
• 15:37
  US
• 15:38
  they
• 15:38
  ask
• 15:39
  us
• 15:39
  for
• 15:39
  the
• 15:39
  reception
• 15:40
  process.
• 15:41
  If
• 15:41
  they
• 15:41
  had
• 15:42
  RFID
• 15:42
  already
• 15:43
  deployed,
• 15:43
  they
• 15:43
  were
• 15:43
  doing
• 15:44
  the
• 15:44
  reception
• 15:44
  with
• 15:44
  rfid,
• 15:45
  but
• 15:45
  they
• 15:45
  had
• 15:46
  a
• 15:46
  lot
• 15:46
  of
• 15:46
  reception
• 15:47
  that
• 15:47
  was
• 15:47
  unexpected
• 15:49
  or
• 15:49
  maybe
• 15:50
  boxes
• 15:50
  that
• 15:51
  could
• 15:51
  be
• 15:51
  damaged
• 15:52
  during
• 15:52
  transport
• 15:53
  or
• 15:54
  shipments
• 15:54
  that
• 15:55
  came
• 15:55
  from
• 15:55
  stores
• 15:56
  or
• 15:57
  missing
• 15:57
  items.
• 15:58
  And
• 15:58
  they
• 15:59
  asked
• 15:59
  us,
• 15:59
  okay,
• 15:59
  we're
• 16:00
  not
• 16:00
  going
• 16:00
  to
• 16:00
  replace
• 16:00
  the
• 16:01
  RFID
• 16:01
  technology.
• 16:02
  Can
• 16:02
  you,
• 16:03
  though,
• 16:03
  enhance
• 16:04
  it
• 16:04
  with
• 16:04
  smart
• 16:04
  data
• 16:05
  capture
• 16:05
  so
• 16:06
  we
• 16:06
  can
• 16:06
  catch
• 16:06
  which
• 16:07
  information
• 16:07
  we
• 16:07
  have
• 16:07
  to
• 16:08
  act
• 16:08
  upon
• 16:09
  just
• 16:09
  using
• 16:10
  the
• 16:10
  technology
• 16:11
  and
• 16:11
  the,
• 16:11
  the
• 16:12
  phones
• 16:12
  that
• 16:12
  the
• 16:13
  associate
• 16:13
  that.
• 16:13
  And
• 16:14
  this
• 16:14
  is
• 16:14
  what
• 16:14
  I
• 16:14
  mean,
• 16:15
  with
• 16:15
  using
• 16:15
  the
• 16:15
  infrastructure
• 16:16
  available
• 16:17
  that,
• 16:17
  that
• 16:18
  is
• 16:18
  very
• 16:18
  easy
• 16:18
  for
• 16:19
  us
• 16:19
  to
• 16:19
  do
• 16:20
  and
• 16:20
  for
• 16:20
  the
• 16:20
  retailer,
• 16:21
  then
• 16:21
  they
• 16:21
  can
• 16:22
  immediately
• 16:23
  visualize,
• 16:23
  okay,
• 16:24
  this
• 16:24
  parcel
• 16:25
  shouldn't
• 16:25
  be
• 16:25
  this
• 16:26
  store.
• 16:26
  There's
• 16:27
  actually
• 16:28
  a
• 16:28
  VIP
• 16:29
  waiting
• 16:29
  for
• 16:29
  this
• 16:30
  item
• 16:30
  in
• 16:31
  the
• 16:31
  next
• 16:31
  store.
• 16:32
  So
• 16:32
  you
• 16:32
  can
• 16:33
  catch
• 16:33
  it
• 16:33
  really
• 16:33
  real
• 16:34
  time.
• 16:35
  That's
• 16:35
  so
• 16:35
  interesting.
• 16:36
  And
• 16:37
  it's
• 16:37
  really
• 16:37
  opening
• 16:38
  for
• 16:39
  me
• 16:39
  at
• 16:39
  least.
• 16:39
  I
• 16:40
  don't
• 16:40
  know
• 16:40
  about
• 16:40
  you,
• 16:40
  Chris,
• 16:40
  but
• 16:41
  like
• 16:41
  a
• 16:41
  new,
• 16:42
  new
• 16:42
  visibility
• 16:43
  into,
• 16:43
  like,
• 16:43
  what
• 16:44
  Scandit
• 16:44
  is
• 16:45
  doing.
• 16:45
  Like,
• 16:45
  we
• 16:45
  knew
• 16:46
  we've
• 16:46
  worked
• 16:46
  with
• 16:46
  you
• 16:47
  guys
• 16:47
  for
• 16:47
  a
• 16:47
  long
• 16:47
  time
• 16:48
  and
• 16:48
  we
• 16:48
  know
• 16:48
  you
• 16:49
  as
• 16:49
  smart
• 16:49
  data
• 16:49
  capture,
• 16:50
  but
• 16:50
  I
• 16:50
  think
• 16:51
  you're
• 16:51
  really
• 16:51
  kind
• 16:51
  of
• 16:52
  being
• 16:52
  this
• 16:52
  facilitator,
• 16:53
  it
• 16:53
  sounds
• 16:54
  like,
• 16:54
  across,
• 16:54
  you
• 16:55
  know,
• 16:55
  all
• 16:55
  of
• 16:55
  these
• 16:56
  systems
• 16:56
  that
• 16:56
  are,
• 16:56
  that
• 16:57
  a
• 16:57
  retailer
• 16:57
  is
• 16:57
  already
• 16:58
  working
• 16:58
  with
• 16:58
  and
• 16:59
  being
• 16:59
  able
• 16:59
  to
• 17:00
  say
• 17:00
  with
• 17:00
  smart
• 17:00
  data
• 17:01
  capture,
• 17:01
  like,
• 17:01
  oh,
• 17:01
  yeah,
• 17:02
  we
• 17:02
  can,
• 17:02
  we
• 17:02
  can
• 17:03
  make
• 17:03
  up
• 17:03
  for
• 17:03
  that
• 17:04
  because
• 17:04
  we've
• 17:05
  got
• 17:05
  this
• 17:05
  flexibility
• 17:06
  in
• 17:06
  our
• 17:06
  platform.
• 17:07
  Yeah.
• 17:08
  And
• 17:08
  just
• 17:08
  as
• 17:08
  an
• 17:09
  anecdote
• 17:09
  there,
• 17:10
  I
• 17:10
  was
• 17:10
  really
• 17:10
  surprised
• 17:11
  when
• 17:11
  we
• 17:12
  audited
• 17:12
  with
• 17:12
  this
• 17:13
  customer
• 17:13
  how
• 17:13
  much
• 17:14
  those
• 17:15
  mistakes
• 17:15
  or
• 17:16
  exceptions
• 17:16
  were
• 17:17
  costing.
• 17:17
  It
• 17:18
  was
• 17:18
  a
• 17:18
  million
• 17:18
  per
• 17:18
  year
• 17:19
  just
• 17:19
  for
• 17:20
  the
• 17:20
  little
• 17:21
  palette
• 17:22
  or
• 17:23
  reception
• 17:24
  item
• 17:24
  that
• 17:25
  you
• 17:25
  missed
• 17:25
  or
• 17:26
  that
• 17:26
  was
• 17:26
  in
• 17:26
  the
• 17:26
  wrong
• 17:27
  store.
• 17:28
  So
• 17:28
  this
• 17:29
  is
• 17:29
  like
• 17:29
  a
• 17:29
  very
• 17:29
  small
• 17:30
  subset
• 17:30
  of
• 17:31
  all
• 17:31
  reception,
• 17:32
  for
• 17:32
  instance,
• 17:32
  or
• 17:33
  all
• 17:33
  backroom
• 17:33
  operations.
• 17:34
  So
• 17:34
  that's
• 17:35
  what
• 17:35
  I
• 17:35
  mean.
• 17:35
  With
• 17:35
  innovation
• 17:36
  that
• 17:36
  is
• 17:36
  progressive,
• 17:37
  like
• 17:37
  the,
• 17:38
  the
• 17:38
  small
• 17:39
  things,
• 17:39
  they
• 17:40
  can
• 17:40
  make
• 17:40
  a
• 17:40
  huge
• 17:41
  impact
• 17:41
  when
• 17:42
  you
• 17:42
  look
• 17:42
  at
• 17:42
  the
• 17:42
  holistic
• 17:43
  results.
• 17:45
  Yeah.
• 17:45
  I
• 17:45
  mean,
• 17:45
  and,
• 17:46
  and
• 17:46
  given
• 17:46
  the
• 17:46
  conversations
• 17:47
  we've
• 17:47
  had
• 17:47
  recently,
• 17:47
  like,
• 17:48
  the
• 17:48
  other
• 17:48
  thing
• 17:48
  that's
• 17:48
  coming
• 17:48
  to
• 17:49
  mind
• 17:49
  for
• 17:49
  me
• 17:49
  is
• 17:49
  like,
• 17:49
  if
• 17:49
  I'm
• 17:50
  a
• 17:50
  CEO
• 17:50
  or
• 17:51
  a
• 17:51
  cfo,
• 17:51
  I'm
• 17:52
  not
• 17:52
  green
• 17:52
  lighting
• 17:52
  anything
• 17:53
  besides
• 17:53
  replacement,
• 17:54
  like
• 17:54
  hardware.
• 17:55
  And
• 17:55
  I'm
• 17:55
  like,
• 17:55
  yeah,
• 17:56
  doing
• 17:56
  most
• 17:56
  of
• 17:57
  my
• 17:57
  bulk
• 17:57
  of
• 17:57
  my
• 17:57
  IT
• 17:58
  investment
• 17:58
  into
• 17:58
  the
• 17:58
  software
• 17:59
  side
• 17:59
  of
• 17:59
  the
• 17:59
  bit.
• 18:00
  Or
• 18:00
  my,
• 18:00
  you
• 18:00
  know,
• 18:00
  my
• 18:00
  capital
• 18:01
  investment,
• 18:01
  I
• 18:01
  should
• 18:01
  say
• 18:02
  into
• 18:02
  the
• 18:02
  software
• 18:02
  side
• 18:03
  of
• 18:03
  the
• 18:03
  business
• 18:03
  for
• 18:04
  the
• 18:04
  reasons
• 18:04
  that
• 18:04
  we're
• 18:05
  saying
• 18:05
  like.
• 18:05
  Yeah,
• 18:05
  I
• 18:05
  mean,
• 18:06
  God,
• 18:06
  I
• 18:06
  don't,
• 18:07
  I
• 18:07
  don't
• 18:07
  know
• 18:07
  if
• 18:07
  I
• 18:07
  want
• 18:07
  to
• 18:07
  be
• 18:07
  a
• 18:08
  hardware
• 18:08
  provider
• 18:08
  in
• 18:08
  2025,
• 18:09
  that's
• 18:09
  for
• 18:10
  sure.
• 18:11
  Well,
• 18:12
  Jessica,
• 18:13
  what
• 18:13
  other
• 18:13
  examples
• 18:14
  do
• 18:14
  you
• 18:14
  have?
• 18:14
  Because
• 18:14
  I
• 18:14
  love
• 18:15
  that
• 18:15
  one.
• 18:15
  I
• 18:15
  mean
• 18:16
  are
• 18:16
  there
• 18:16
  any
• 18:16
  other
• 18:17
  like
• 18:17
  clients
• 18:18
  that
• 18:18
  you've
• 18:18
  worked
• 18:18
  with?
• 18:19
  You,
• 18:19
  you
• 18:19
  have
• 18:20
  all
• 18:20
  this
• 18:20
  experience
• 18:21
  that,
• 18:21
  that's
• 18:21
  newfound
• 18:22
  experience
• 18:22
  to
• 18:23
  us,
• 18:23
  but
• 18:23
  maybe
• 18:24
  share
• 18:24
  a
• 18:24
  few
• 18:24
  more
• 18:25
  with
• 18:25
  our
• 18:25
  audience
• 18:25
  if
• 18:25
  you
• 18:26
  don't
• 18:26
  mind
• 18:26
  of
• 18:26
  like
• 18:27
  how
• 18:27
  this
• 18:27
  is
• 18:27
  all
• 18:27
  taking
• 18:28
  place.
• 18:29
  Sure.
• 18:30
  And
• 18:30
  I
• 18:30
  have
• 18:31
  like
• 18:31
  a
• 18:31
  lot
• 18:31
  of
• 18:31
  examples,
• 18:32
  so
• 18:32
  may
• 18:33
  take
• 18:33
  days,
• 18:33
  but
• 18:34
  let's
• 18:34
  try
• 18:34
  to
• 18:35
  do
• 18:35
  it.
• 18:36
  Pick
• 18:36
  your
• 18:36
  best
• 18:36
  ones.
• 18:37
  So
• 18:37
  a
• 18:37
  couple
• 18:38
  of
• 18:38
  the
• 18:38
  best
• 18:38
  ones.
• 18:38
  So
• 18:39
  Chris,
• 18:39
  you
• 18:39
  mentioned
• 18:39
  like
• 18:40
  not
• 18:40
  always
• 18:40
  you
• 18:40
  want
• 18:40
  to
• 18:40
  change
• 18:41
  hardware.
• 18:41
  We
• 18:41
  still
• 18:42
  do
• 18:42
  see
• 18:42
  successful
• 18:43
  implementation.
• 18:44
  So
• 18:44
  I
• 18:44
  would
• 18:44
  start
• 18:45
  with
• 18:45
  a
• 18:45
  recent
• 18:45
  deployment
• 18:46
  that
• 18:46
  we
• 18:46
  did
• 18:46
  with
• 18:47
  Staples
• 18:47
  Canada.
• 18:48
  Everybody
• 18:49
  loves
• 18:49
  and
• 18:49
  knows
• 18:49
  Staples
• 18:50
  and
• 18:51
  going
• 18:52
  back
• 18:52
  to
• 18:52
  that
• 18:52
  framework
• 18:53
  that
• 18:53
  we
• 18:53
  were
• 18:53
  looking
• 18:54
  at
• 18:54
  before.
• 18:54
  So
• 18:55
  what
• 18:55
  their
• 18:56
  IT
• 18:57
  wanted
• 18:57
  to
• 18:57
  do
• 18:58
  was
• 18:58
  helping
• 18:59
  the
• 19:00
  workers
• 19:01
  because
• 19:02
  they
• 19:02
  were
• 19:02
  having
• 19:03
  challenges
• 19:03
  with
• 19:03
  lower
• 19:04
  tenure
• 19:05
  but
• 19:05
  still
• 19:05
  complex
• 19:06
  tasks.
• 19:06
  So
• 19:07
  tasks
• 19:07
  like
• 19:08
  audit
• 19:08
  the
• 19:08
  prices
• 19:09
  and
• 19:09
  the
• 19:10
  promotions,
• 19:11
  understanding
• 19:12
  the
• 19:12
  product
• 19:12
  information
• 19:13
  or
• 19:14
  seeing
• 19:14
  if
• 19:15
  something
• 19:15
  was
• 19:15
  available
• 19:15
  for
• 19:16
  restocking.
• 19:17
  So
• 19:17
  the
• 19:17
  challenge
• 19:18
  was
• 19:18
  to
• 19:19
  look
• 19:19
  at
• 19:19
  those
• 19:19
  workflows
• 19:20
  and
• 19:20
  try
• 19:20
  to
• 19:20
  understand
• 19:21
  how
• 19:21
  do
• 19:21
  we
• 19:21
  help
• 19:22
  our
• 19:22
  workers
• 19:23
  in
• 19:24
  being
• 19:24
  able
• 19:24
  to
• 19:25
  accurately
• 19:26
  and
• 19:27
  efficiently
• 19:28
  complete
• 19:28
  their
• 19:28
  tasks
• 19:29
  because
• 19:29
  otherwise
• 19:30
  then
• 19:30
  there's
• 19:30
  no
• 19:30
  time
• 19:30
  to
• 19:31
  help
• 19:31
  the
• 19:31
  customers.
• 19:32
  So
• 19:32
  what
• 19:33
  they
• 19:34
  implemented
• 19:35
  was
• 19:35
  this
• 19:36
  change
• 19:36
  in
• 19:36
  the
• 19:36
  process
• 19:37
  and
• 19:37
  they
• 19:38
  moved
• 19:38
  to
• 19:39
  iPhone.
• 19:39
  So
• 19:39
  I
• 19:40
  think
• 19:40
  it
• 19:40
  was
• 19:40
  like
• 19:40
  1200
• 19:41
  iPhones
• 19:41
  that
• 19:41
  they
• 19:42
  deployed
• 19:42
  in
• 19:42
  Canada
• 19:43
  and
• 19:43
  they
• 19:44
  went
• 19:44
  from
• 19:44
  a
• 19:44
  process
• 19:45
  for
• 19:45
  the
• 19:45
  audit
• 19:45
  of
• 19:46
  the
• 19:46
  prices
• 19:46
  and
• 19:46
  promotion
• 19:47
  that
• 19:47
  was
• 19:48
  I
• 19:48
  scan
• 19:48
  something,
• 19:49
  I
• 19:49
  look
• 19:49
  at
• 19:49
  the
• 19:50
  display,
• 19:50
  I
• 19:51
  try
• 19:51
  to
• 19:51
  understand
• 19:51
  is
• 19:52
  it
• 19:52
  correct
• 19:52
  or
• 19:53
  not.
• 19:53
  And
• 19:53
  then
• 19:53
  I
• 19:53
  need
• 19:54
  to
• 19:54
  think
• 19:55
  am
• 19:55
  I
• 19:55
  going
• 19:55
  to
• 19:55
  scan
• 19:56
  the
• 19:56
  label
• 19:57
  right
• 19:57
  now?
• 19:57
  And
• 19:58
  by
• 19:58
  the
• 19:58
  time
• 19:58
  that
• 19:58
  you
• 19:58
  do
• 19:59
  this,
• 19:59
  and
• 19:59
  especially
• 20:00
  someone
• 20:00
  interrupts
• 20:01
  you
• 20:01
  like
• 20:01
  a
• 20:01
  customer,
• 20:02
  you
• 20:02
  need
• 20:02
  to
• 20:02
  start
• 20:02
  again.
• 20:03
  And
• 20:03
  they
• 20:04
  went
• 20:04
  from
• 20:04
  this
• 20:04
  three
• 20:05
  step
• 20:05
  process
• 20:06
  to
• 20:06
  a
• 20:06
  one
• 20:06
  step
• 20:07
  process
• 20:07
  I
• 20:07
  capture
• 20:07
  with
• 20:08
  the
• 20:08
  camera
• 20:08
  tells
• 20:09
  me
• 20:09
  it's
• 20:10
  correct
• 20:10
  and
• 20:10
  if
• 20:11
  not
• 20:11
  immediately
• 20:12
  automates
• 20:13
  the
• 20:13
  change
• 20:14
  on
• 20:14
  the
• 20:14
  price
• 20:14
  and
• 20:15
  sends
• 20:15
  the
• 20:15
  right
• 20:15
  activities
• 20:16
  that
• 20:16
  needs
• 20:16
  to
• 20:16
  be
• 20:17
  performed.
• 20:18
  So
• 20:18
  what
• 20:19
  they
• 20:19
  saw
• 20:19
  there
• 20:19
  is,
• 20:19
  was
• 20:19
  a
• 20:20
  45%
• 20:21
  decrease
• 20:21
  in
• 20:22
  the
• 20:22
  investment
• 20:22
  on
• 20:22
  the
• 20:23
  hardware
• 20:23
  side
• 20:23
  because
• 20:24
  they
• 20:24
  could
• 20:25
  go
• 20:25
  from
• 20:25
  more
• 20:26
  expensive
• 20:26
  hardware
• 20:27
  to
• 20:28
  a
• 20:28
  consumer
• 20:29
  grade
• 20:30
  and
• 20:30
  that's
• 20:31
  helped
• 20:31
  tremendously.
• 20:32
  But
• 20:33
  not
• 20:33
  only
• 20:33
  that
• 20:33
  they
• 20:33
  could
• 20:34
  on
• 20:34
  the
• 20:34
  software
• 20:35
  side
• 20:35
  achieve
• 20:36
  the
• 20:36
  hundred
• 20:37
  percent
• 20:38
  of
• 20:38
  compliance
• 20:39
  that
• 20:39
  they
• 20:39
  wanted
• 20:40
  on
• 20:40
  the
• 20:40
  audits
• 20:41
  that
• 20:41
  they
• 20:41
  were
• 20:41
  doing
• 20:41
  for
• 20:42
  the
• 20:42
  prices
• 20:42
  and
• 20:43
  they
• 20:43
  were
• 20:43
  doing
• 20:43
  more
• 20:43
  than
• 20:44
  20,000
• 20:44
  price
• 20:45
  audits
• 20:45
  per
• 20:45
  week,
• 20:46
  and
• 20:46
  they
• 20:47
  were
• 20:47
  all
• 20:47
  accurate.
• 20:48
  So
• 20:48
  that's
• 20:49
  where
• 20:49
  we
• 20:49
  look
• 20:50
  at
• 20:50
  those
• 20:51
  frameworks
• 20:51
  on
• 20:52
  flexibility
• 20:53
  and
• 20:53
  making
• 20:54
  it
• 20:54
  easy.
• 20:55
  And
• 20:55
  for
• 20:55
  the
• 20:55
  workers,
• 20:56
  especially
• 20:57
  the
• 20:57
  newer
• 20:57
  ones,
• 20:58
  and
• 20:58
  especially
• 20:59
  the
• 20:59
  one
• 20:59
  with
• 20:59
  less
• 21:00
  experience,
• 21:00
  really
• 21:01
  easy
• 21:01
  to
• 21:01
  navigate
• 21:02
  what
• 21:02
  you're
• 21:02
  supposed
• 21:03
  to
• 21:03
  do
• 21:03
  and
• 21:03
  how
• 21:03
  you're
• 21:04
  supposed
• 21:04
  to
• 21:04
  do
• 21:04
  it.
• 21:05
  Well,
• 21:05
  I
• 21:06
  have
• 21:06
  a
• 21:06
  couple
• 21:06
  more,
• 21:07
  if
• 21:07
  you
• 21:07
  want.
• 21:07
  Oh,
• 21:07
  yeah.
• 21:07
  I
• 21:08
  was
• 21:08
  just
• 21:08
  gonna
• 21:08
  say,
• 21:08
  though,
• 21:08
  Jessica,
• 21:09
  quickly,
• 21:10
  like,
• 21:10
  you
• 21:10
  talk
• 21:11
  about
• 21:11
  ROI
• 21:12
  being
• 21:12
  important
• 21:12
  and
• 21:13
  retailers
• 21:13
  needing
• 21:13
  to
• 21:13
  see
• 21:13
  that,
• 21:14
  certainly
• 21:14
  updating
• 21:14
  the
• 21:15
  pricing
• 21:15
  and
• 21:15
  promotion,
• 21:15
  it's
• 21:16
  a
• 21:16
  very
• 21:16
  good
• 21:16
  way
• 21:16
  to
• 21:16
  do
• 21:16
  that.
• 21:17
  But
• 21:17
  it,
• 21:18
  I,
• 21:18
  I'm
• 21:18
  also
• 21:19
  curious,
• 21:19
  like,
• 21:20
  are
• 21:20
  some
• 21:20
  of
• 21:20
  these
• 21:21
  clients
• 21:21
  of
• 21:21
  yours
• 21:22
  factoring
• 21:22
  in,
• 21:22
  like,
• 21:23
  employee
• 21:23
  workload
• 21:24
  as
• 21:24
  an
• 21:24
  ROI
• 21:25
  too?
• 21:25
  Like,
• 21:25
  you're
• 21:26
  talking
• 21:26
  about,
• 21:26
  like,
• 21:26
  the
• 21:26
  amount
• 21:27
  of
• 21:27
  work
• 21:27
  that
• 21:28
  that's
• 21:28
  cut
• 21:28
  down
• 21:28
  on.
• 21:29
  Like,
• 21:29
  there's
• 21:29
  gotta
• 21:29
  be
• 21:29
  an
• 21:30
  ROI
• 21:30
  there
• 21:31
  too,
• 21:31
  is.
• 21:32
  Is
• 21:32
  there
• 21:32
  a
• 21:33
  metric
• 21:33
  that
• 21:33
  they're
• 21:34
  using
• 21:34
  to
• 21:34
  capture
• 21:35
  that
• 21:35
  or
• 21:35
  to
• 21:35
  kind
• 21:35
  of
• 21:36
  put
• 21:36
  that
• 21:36
  into
• 21:36
  this
• 21:37
  equation
• 21:37
  as
• 21:37
  well.
• 21:38
  So.
• 21:39
  And
• 21:39
  I've
• 21:39
  seen
• 21:40
  different
• 21:40
  type
• 21:40
  of
• 21:40
  approaches,
• 21:41
  and
• 21:41
  it
• 21:42
  goes
• 21:42
  back
• 21:42
  to
• 21:43
  what
• 21:43
  we
• 21:43
  were
• 21:43
  discussing
• 21:44
  before
• 21:44
  of
• 21:44
  knowing
• 21:44
  your
• 21:45
  KPI
• 21:45
  upfront.
• 21:46
  When
• 21:46
  you
• 21:46
  set
• 21:47
  your.
• 21:49
  That
• 21:49
  case,
• 21:49
  there
• 21:50
  was
• 21:50
  a
• 21:50
  clear
• 21:50
  KPI,
• 21:51
  which
• 21:51
  was
• 21:52
  a
• 21:52
  target
• 21:53
  on
• 21:53
  how
• 21:53
  many
• 21:54
  price
• 21:54
  audits
• 21:55
  they
• 21:55
  wanted
• 21:55
  to
• 21:55
  perform.
• 21:56
  Sure.
• 21:56
  Because
• 21:57
  that
• 21:57
  had
• 21:57
  a
• 21:58
  link
• 21:58
  to
• 21:58
  customers
• 21:59
  being
• 21:59
  satisfied
• 22:00
  or
• 22:00
  not.
• 22:00
  If
• 22:01
  I
• 22:01
  am
• 22:01
  in
• 22:01
  a
• 22:01
  store
• 22:02
  and
• 22:02
  the
• 22:02
  price
• 22:03
  is
• 22:03
  not
• 22:03
  the
• 22:03
  right
• 22:03
  one,
• 22:03
  and
• 22:04
  then
• 22:04
  I
• 22:04
  go
• 22:04
  to
• 22:04
  the
• 22:04
  cashier
• 22:05
  and
• 22:05
  you're
• 22:05
  now
• 22:06
  asking
• 22:06
  me
• 22:06
  for
• 22:06
  a
• 22:06
  different
• 22:07
  price
• 22:08
  point,
• 22:08
  then
• 22:09
  it's
• 22:09
  a
• 22:09
  problem.
• 22:09
  And.
• 22:10
  And
• 22:10
  that's
• 22:11
  where
• 22:11
  the
• 22:11
  ROI
• 22:11
  is
• 22:12
  unlocked.
• 22:12
  We
• 22:12
  also
• 22:12
  had
• 22:13
  other
• 22:13
  customers
• 22:14
  in
• 22:14
  the
• 22:14
  U.S.
• 22:15
  for
• 22:15
  instance,
• 22:16
  that.
• 22:16
  So
• 22:16
  that,
• 22:16
  that
• 22:17
  problem
• 22:17
  was
• 22:18
  in
• 22:18
  the
• 22:18
  realm
• 22:18
  of
• 22:19
  millions,
• 22:20
  and
• 22:20
  they
• 22:20
  were
• 22:21
  either
• 22:21
  undercharging
• 22:22
  or
• 22:22
  overcharging
• 22:24
  for
• 22:24
  millions
• 22:25
  of
• 22:25
  dollars
• 22:25
  per
• 22:26
  year.
• 22:26
  So
• 22:27
  I
• 22:28
  remember,
• 22:28
  like,
• 22:28
  there
• 22:28
  was
• 22:28
  one
• 22:29
  of
• 22:29
  the
• 22:29
  customers,
• 22:29
  There
• 22:29
  was
• 22:29
  a
• 22:30
  turkey
• 22:30
  gate
• 22:30
  situation
• 22:31
  in
• 22:32
  which
• 22:32
  the
• 22:32
  prices
• 22:33
  of
• 22:33
  the
• 22:33
  turkey
• 22:34
  for
• 22:34
  Thanksgiving
• 22:35
  was
• 22:35
  not.
• 22:36
  They
• 22:36
  called
• 22:37
  it
• 22:37
  turkey
• 22:37
  gate
• 22:38
  and
• 22:38
  turkey
• 22:38
  gate.
• 22:39
  Yes,
• 22:40
  yes,
• 22:40
  I
• 22:40
  promised.
• 22:41
  We
• 22:42
  have
• 22:42
  also
• 22:42
  seen,
• 22:42
  like,
• 22:43
  other
• 22:43
  type
• 22:43
  of
• 22:45
  meat
• 22:45
  and
• 22:45
  animal
• 22:46
  depending
• 22:46
  on
• 22:46
  the.
• 22:46
  On
• 22:47
  the
• 22:47
  region.
• 22:47
  But
• 22:48
  what
• 22:48
  was
• 22:48
  happening,
• 22:49
  for
• 22:49
  instance,
• 22:49
  was
• 22:49
  we
• 22:50
  had
• 22:50
  this
• 22:51
  retailer
• 22:52
  that
• 22:54
  was
• 22:54
  doing
• 22:55
  the
• 22:55
  picking
• 22:56
  for
• 22:56
  the
• 22:56
  turkeys
• 22:57
  for
• 22:57
  Thanksgiving,
• 22:58
  and
• 22:58
  they
• 22:58
  had
• 22:59
  to
• 22:59
  scan
• 23:00
  the
• 23:00
  correct
• 23:01
  price.
• 23:02
  But,
• 23:02
  you
• 23:02
  know,
• 23:02
  the
• 23:03
  weight
• 23:03
  is
• 23:03
  something
• 23:03
  that
• 23:04
  you
• 23:04
  have
• 23:04
  on
• 23:04
  the
• 23:04
  label
• 23:04
  and
• 23:05
  then
• 23:05
  you
• 23:05
  have
• 23:05
  the
• 23:05
  price.
• 23:06
  But
• 23:06
  sometimes
• 23:06
  they
• 23:06
  had
• 23:07
  to
• 23:07
  enter
• 23:07
  manually
• 23:08
  the
• 23:08
  final
• 23:08
  price.
• 23:09
  And
• 23:10
  there
• 23:10
  was
• 23:10
  someone
• 23:10
  that
• 23:11
  was
• 23:11
  like,
• 23:11
  there
• 23:11
  were
• 23:12
  a
• 23:12
  lot
• 23:12
  of
• 23:12
  mistakes,
• 23:13
  but
• 23:13
  yet
• 23:13
  a
• 23:13
  turkey
• 23:14
  Suddenly
• 23:15
  has
• 23:15
  a
• 23:16
  zero
• 23:16
  more
• 23:16
  on
• 23:17
  the
• 23:17
  weight,
• 23:17
  and
• 23:18
  then
• 23:18
  it's
• 23:18
  $1,000
• 23:19
  turkey.
• 23:20
  Yeah.
• 23:20
  So
• 23:21
  this
• 23:21
  is
• 23:21
  the.
• 23:21
  The
• 23:21
  turkey
• 23:22
  weight.
• 23:22
  So
• 23:22
  imagine
• 23:23
  being
• 23:23
  a
• 23:23
  customer
• 23:23
  getting
• 23:24
  at
• 23:24
  the
• 23:24
  cashier
• 23:24
  and
• 23:25
  now
• 23:25
  your.
• 23:25
  Thanks.
• 23:26
  Thanksgiving
• 23:27
  is
• 23:27
  much
• 23:27
  more
• 23:27
  expensive
• 23:28
  than
• 23:28
  what
• 23:29
  originally
• 23:29
  was
• 23:29
  planned.
• 23:31
  A
• 23:31
  little
• 23:31
  bit,
• 23:31
  yeah.
• 23:32
  A
• 23:32
  little
• 23:32
  bit.
• 23:33
  Turkey
• 23:33
  is
• 23:33
  a
• 23:33
  little
• 23:33
  bit
• 23:33
  more
• 23:34
  expensive.
• 23:34
  Yeah,
• 23:34
  that's,
• 23:35
  that's
• 23:35
  called
• 23:35
  sticker
• 23:35
  shock
• 23:36
  for
• 23:36
  sure.
• 23:37
  Yeah.
• 23:37
  So
• 23:37
  I
• 23:37
  mean,
• 23:37
  your
• 23:38
  point
• 23:38
  is
• 23:38
  really
• 23:38
  that,
• 23:38
  so
• 23:39
  there's
• 23:39
  the
• 23:39
  price
• 23:40
  accuracy
• 23:40
  side
• 23:40
  of
• 23:41
  this
• 23:41
  and
• 23:41
  then
• 23:41
  I
• 23:41
  would
• 23:41
  imagine
• 23:42
  too
• 23:42
  there's
• 23:42
  the,
• 23:43
  the
• 23:43
  hourly
• 23:43
  payroll
• 23:44
  that
• 23:44
  the
• 23:44
  retailers
• 23:45
  are
• 23:45
  allotting
• 23:45
  to.
• 23:46
  The
• 23:46
  task
• 23:46
  of,
• 23:47
  you
• 23:47
  know,
• 23:47
  checking
• 23:47
  and
• 23:48
  auditing
• 23:48
  this
• 23:48
  to
• 23:48
  the
• 23:48
  degree
• 23:49
  that
• 23:49
  you
• 23:49
  have.
• 23:49
  Which
• 23:49
  reminds
• 23:50
  me
• 23:50
  of
• 23:50
  all
• 23:50
  my
• 23:50
  nightmares
• 23:50
  as
• 23:51
  a
• 23:51
  store
• 23:51
  manager
• 23:51
  of
• 23:51
  having
• 23:52
  to
• 23:52
  do
• 23:52
  price
• 23:52
  and
• 23:53
  shelf
• 23:53
  audits,
• 23:53
  which
• 23:53
  is
• 23:54
  not
• 23:54
  a
• 23:54
  very
• 23:54
  fun
• 23:54
  job.
• 23:55
  I'm
• 23:56
  curious.
• 23:56
  So
• 23:56
  are
• 23:56
  there
• 23:56
  any
• 23:56
  other,
• 23:57
  are
• 23:57
  there
• 23:57
  any
• 23:58
  other
• 23:58
  examples
• 23:58
  that
• 23:59
  you
• 23:59
  have
• 23:59
  that
• 23:59
  you
• 23:59
  can
• 23:59
  share?
• 23:59
  We
• 24:00
  still
• 24:00
  got
• 24:00
  a
• 24:00
  little
• 24:00
  bit
• 24:00
  of
• 24:00
  time.
• 24:01
  What's
• 24:01
  one
• 24:01
  more
• 24:01
  good
• 24:02
  example
• 24:02
  you
• 24:02
  can
• 24:02
  share
• 24:02
  with
• 24:02
  us
• 24:03
  in
• 24:03
  terms
• 24:03
  of,
• 24:03
  you
• 24:04
  know,
• 24:04
  how
• 24:04
  you're
• 24:04
  seeing
• 24:04
  what
• 24:05
  we've
• 24:05
  talked
• 24:05
  about
• 24:05
  get
• 24:05
  deployed,
• 24:06
  you
• 24:06
  know,
• 24:06
  across
• 24:07
  retail?
• 24:08
  Sure.
• 24:09
  So
• 24:09
  my.
• 24:10
  Another
• 24:10
  example
• 24:11
  that
• 24:12
  particularly
• 24:12
  closed
• 24:13
  more
• 24:13
  us
• 24:13
  on
• 24:13
  the
• 24:13
  software
• 24:14
  side
• 24:14
  was
• 24:15
  we
• 24:15
  were
• 24:15
  working
• 24:16
  with
• 24:16
  a
• 24:16
  very
• 24:17
  beloved
• 24:17
  large
• 24:18
  grocer
• 24:18
  in
• 24:19
  the
• 24:19
  US
• 24:20
  and
• 24:20
  they
• 24:21
  had
• 24:22
  over
• 24:22
  10
• 24:23
  apps
• 24:23
  that
• 24:23
  we
• 24:23
  were
• 24:23
  providing
• 24:24
  to
• 24:25
  their
• 24:25
  store
• 24:25
  associates.
• 24:26
  And
• 24:26
  you've
• 24:26
  worked
• 24:27
  in
• 24:27
  retail,
• 24:28
  you
• 24:28
  know
• 24:28
  how
• 24:28
  many
• 24:28
  apps
• 24:29
  we
• 24:29
  provide
• 24:29
  to
• 24:29
  our
• 24:29
  associate
• 24:30
  and
• 24:30
  then
• 24:30
  we
• 24:31
  want
• 24:31
  them
• 24:31
  to
• 24:31
  know
• 24:31
  them
• 24:32
  by
• 24:32
  heart
• 24:33
  and
• 24:33
  have
• 24:33
  the
• 24:33
  same
• 24:34
  experience
• 24:34
  and
• 24:35
  be
• 24:35
  fast
• 24:35
  and
• 24:36
  like,
• 24:36
  managed
• 24:36
  to
• 24:36
  put
• 24:37
  the
• 24:37
  information
• 24:37
  together
• 24:38
  somehow.
• 24:39
  And
• 24:39
  they
• 24:40
  realized
• 24:40
  that
• 24:40
  this
• 24:41
  was
• 24:41
  hindering
• 24:41
  the
• 24:41
  efficiency
• 24:42
  of
• 24:43
  their
• 24:43
  associates.
• 24:44
  So
• 24:44
  what
• 24:45
  they
• 24:45
  wanted
• 24:45
  to
• 24:45
  do
• 24:45
  is
• 24:46
  restructure
• 24:47
  some
• 24:47
  of
• 24:47
  the
• 24:47
  application,
• 24:48
  remake
• 24:48
  them.
• 24:49
  And
• 24:49
  they
• 24:50
  also
• 24:50
  wanted
• 24:50
  to
• 24:50
  provide
• 24:51
  a
• 24:51
  very
• 24:51
  consistent
• 24:52
  user
• 24:53
  interface.
• 24:54
  So,
• 24:54
  and
• 24:54
  UX
• 24:55
  to
• 24:55
  their,
• 24:56
  to
• 24:56
  their
• 24:56
  workers.
• 24:57
  But
• 24:57
  with
• 24:57
  10
• 24:57
  plus
• 24:58
  apps,
• 24:58
  that
• 24:58
  was
• 24:59
  really
• 24:59
  challenging.
• 25:00
  So
• 25:00
  first
• 25:00
  of
• 25:01
  all,
• 25:01
  going
• 25:02
  back
• 25:02
  to
• 25:02
  the
• 25:02
  hardware
• 25:02
  as
• 25:03
  well,
• 25:03
  those
• 25:03
  associates
• 25:04
  had
• 25:04
  multiple
• 25:05
  hardware
• 25:05
  that
• 25:05
  they
• 25:06
  were
• 25:06
  carrying
• 25:06
  around
• 25:07
  on
• 25:07
  a
• 25:07
  daily
• 25:07
  basis.
• 25:08
  So
• 25:08
  they
• 25:08
  move
• 25:09
  in
• 25:09
  this
• 25:09
  case
• 25:10
  to
• 25:10
  Samsung
• 25:10
  devices
• 25:11
  and
• 25:12
  in
• 25:12
  that
• 25:12
  device
• 25:13
  they
• 25:13
  were
• 25:14
  rolling
• 25:14
  an
• 25:14
  application
• 25:15
  that
• 25:15
  had
• 25:16
  either
• 25:16
  native
• 25:17
  low
• 25:17
  scan,
• 25:17
  a
• 25:18
  low
• 25:18
  code
• 25:18
  or
• 25:19
  no
• 25:20
  code
• 25:20
  solution.
• 25:21
  So
• 25:21
  it
• 25:22
  means
• 25:22
  that
• 25:22
  the
• 25:23
  software
• 25:23
  was
• 25:23
  adapting
• 25:24
  on
• 25:25
  the
• 25:25
  application
• 25:26
  ecosystem
• 25:26
  and
• 25:26
  architecture.
• 25:28
  So
• 25:28
  if
• 25:28
  they
• 25:28
  wanted
• 25:29
  to
• 25:29
  modify
• 25:29
  the
• 25:29
  app,
• 25:30
  they
• 25:30
  could,
• 25:30
  but
• 25:31
  if
• 25:31
  they
• 25:31
  couldn't
• 25:31
  because
• 25:32
  they
• 25:32
  didn't
• 25:32
  have
• 25:33
  the
• 25:33
  time
• 25:33
  from
• 25:34
  the
• 25:35
  IT
• 25:35
  department,
• 25:35
  they
• 25:36
  could
• 25:36
  just
• 25:36
  overlay
• 25:37
  the
• 25:38
  scanning
• 25:39
  capabilities
• 25:39
  in
• 25:39
  that
• 25:40
  case
• 25:40
  on
• 25:40
  their
• 25:41
  existing
• 25:41
  application
• 25:42
  without
• 25:42
  changing
• 25:43
  the
• 25:43
  investment
• 25:43
  that
• 25:43
  was
• 25:44
  previously
• 25:44
  done.
• 25:45
  So
• 25:45
  what
• 25:45
  they
• 25:45
  did
• 25:46
  is
• 25:46
  they
• 25:46
  roll
• 25:46
  it
• 25:46
  out.
• 25:47
  They
• 25:48
  implemented
• 25:48
  this
• 25:49
  process,
• 25:49
  this
• 25:49
  was
• 25:50
  the
• 25:50
  customer
• 25:51
  that
• 25:51
  I
• 25:51
  was
• 25:51
  talking
• 25:51
  about
• 25:51
  before
• 25:52
  they
• 25:52
  implemented
• 25:53
  this
• 25:53
  process
• 25:54
  in
• 25:54
  100
• 25:55
  store
• 25:55
  in
• 25:55
  90
• 25:55
  days
• 25:56
  for
• 25:56
  10
• 25:57
  +
• 25:57
  apps
• 25:58
  with
• 25:58
  all
• 25:58
  the
• 25:58
  new
• 25:59
  devices.
• 25:59
  And
• 26:00
  the
• 26:00
  results
• 26:00
  was
• 26:01
  astonishing
• 26:01
  because
• 26:02
  they
• 26:02
  scored
• 26:03
  90%
• 26:04
  satisfaction
• 26:05
  on
• 26:06
  their
• 26:06
  associate
• 26:07
  survey.
• 26:08
  So
• 26:08
  I
• 26:08
  was
• 26:08
  gonna
• 26:09
  ask
• 26:09
  that.
• 26:09
  Yeah,
• 26:10
  yeah.
• 26:10
  So
• 26:10
  that
• 26:11
  was
• 26:11
  like
• 26:11
  a
• 26:11
  game
• 26:12
  changer.
• 26:12
  And
• 26:13
  personally,
• 26:13
  I
• 26:14
  had
• 26:14
  the
• 26:14
  pleasure
• 26:14
  to
• 26:14
  be
• 26:14
  in
• 26:14
  one
• 26:15
  of
• 26:15
  the
• 26:15
  stores
• 26:15
  in
• 26:15
  New
• 26:15
  York
• 26:16
  and
• 26:16
  I
• 26:17
  was
• 26:17
  talking
• 26:17
  to
• 26:18
  one
• 26:18
  of
• 26:18
  the
• 26:18
  associates,
• 26:19
  and
• 26:19
  it
• 26:20
  was
• 26:20
  this
• 26:20
  young
• 26:21
  gentleman
• 26:21
  that
• 26:21
  was
• 26:21
  telling
• 26:22
  me
• 26:22
  how
• 26:22
  you
• 26:23
  felt
• 26:23
  empowered
• 26:24
  by
• 26:25
  the
• 26:25
  fact
• 26:25
  that
• 26:25
  his
• 26:25
  employer
• 26:26
  was
• 26:26
  providing
• 26:26
  him
• 26:27
  with
• 26:27
  a
• 26:27
  tool
• 26:28
  that
• 26:28
  he
• 26:28
  loved
• 26:29
  with
• 26:29
  all
• 26:30
  the
• 26:30
  knowledge
• 26:31
  that
• 26:31
  he
• 26:31
  needed,
• 26:32
  and
• 26:32
  he
• 26:32
  felt
• 26:32
  he
• 26:32
  was
• 26:33
  cared
• 26:33
  for
• 26:33
  and
• 26:34
  trained
• 26:34
  properly
• 26:35
  so
• 26:35
  that
• 26:35
  he
• 26:35
  could
• 26:36
  do
• 26:36
  his
• 26:36
  job
• 26:36
  with
• 26:37
  passion.
• 26:37
  And
• 26:38
  you,
• 26:38
  you
• 26:38
  should
• 26:38
  have
• 26:39
  seen
• 26:39
  the
• 26:39
  passion
• 26:39
  of
• 26:39
  that,
• 26:40
  the
• 26:40
  man.
• 26:41
  And
• 26:41
  I
• 26:41
  was
• 26:42
  like,
• 26:42
  those
• 26:42
  are
• 26:42
  the
• 26:43
  stories
• 26:43
  that
• 26:43
  really
• 26:43
  make
• 26:44
  an
• 26:44
  impact
• 26:44
  for
• 26:44
  us.
• 26:45
  You
• 26:45
  know,
• 26:45
  when
• 26:45
  you
• 26:45
  see
• 26:46
  people
• 26:46
  empowered
• 26:47
  and
• 26:47
  happy
• 26:47
  about
• 26:47
  using
• 26:47
  the
• 26:48
  technology,
• 26:49
  that's
• 26:49
  what
• 26:50
  matters
• 26:50
  for
• 26:50
  us.
• 26:50
  Yeah,
• 26:51
  yeah,
• 26:51
  well,
• 26:52
  and
• 26:52
  it
• 26:52
  goes
• 26:52
  back
• 26:52
  to
• 26:52
  what
• 26:52
  you
• 26:52
  said
• 26:53
  in
• 26:53
  terms
• 26:53
  of
• 26:53
  the
• 26:53
  framework
• 26:53
  that
• 26:54
  you
• 26:54
  would,
• 26:54
  that
• 26:54
  would,
• 26:54
  you
• 26:55
  would
• 26:55
  recommend
• 26:55
  people
• 26:55
  use
• 26:56
  to
• 26:56
  evaluate
• 26:56
  technologies
• 26:57
  too,
• 26:57
  which
• 26:57
  is
• 26:57
  like,
• 26:57
  you
• 26:57
  actually
• 26:58
  gave
• 26:58
  the
• 26:58
  retailer
• 26:59
  in
• 26:59
  question
• 26:59
  here
• 27:00
  room
• 27:00
  to
• 27:00
  grow
• 27:01
  too,
• 27:01
  in
• 27:01
  terms
• 27:01
  of
• 27:01
  how
• 27:01
  they
• 27:02
  deploy
• 27:02
  this.
• 27:02
  So
• 27:02
  they,
• 27:03
  they're
• 27:03
  having
• 27:03
  success
• 27:03
  already.
• 27:04
  But
• 27:04
  the
• 27:04
  other
• 27:04
  thing
• 27:04
  I
• 27:05
  took
• 27:05
  from
• 27:05
  it
• 27:05
  is
• 27:05
  that
• 27:05
  there's
• 27:06
  more
• 27:06
  that
• 27:06
  they
• 27:06
  can
• 27:07
  now
• 27:07
  add
• 27:07
  very
• 27:07
  simply
• 27:08
  to
• 27:08
  how
• 27:08
  they
• 27:08
  want
• 27:08
  to
• 27:09
  use
• 27:09
  this
• 27:10
  technology
• 27:10
  platform
• 27:11
  going
• 27:11
  forward.
• 27:12
  All
• 27:12
  right,
• 27:12
  well,
• 27:12
  let's
• 27:12
  get
• 27:12
  you
• 27:13
  out
• 27:13
  of
• 27:13
  here
• 27:13
  on
• 27:13
  this.
• 27:14
  You
• 27:14
  know,
• 27:15
  you've,
• 27:15
  you
• 27:15
  said
• 27:16
  you've
• 27:16
  set
• 27:16
  my
• 27:16
  mind
• 27:17
  particularly
• 27:17
  on
• 27:17
  some
• 27:17
  new
• 27:18
  trends.
• 27:18
  This
• 27:18
  new
• 27:19
  trends
• 27:19
  for
• 27:19
  2025,
• 27:20
  particularly
• 27:20
  software
• 27:21
  versus
• 27:21
  hardware,
• 27:21
  which
• 27:22
  is
• 27:22
  something
• 27:22
  that
• 27:22
  we've
• 27:22
  been
• 27:22
  hearing
• 27:22
  a
• 27:23
  lot.
• 27:23
  This
• 27:23
  whole
• 27:24
  thing
• 27:24
  about,
• 27:24
  you
• 27:24
  know,
• 27:25
  the
• 27:25
  next
• 27:25
  best
• 27:26
  action
• 27:26
  being
• 27:26
  provided
• 27:27
  by
• 27:27
  software
• 27:27
  providers
• 27:28
  across
• 27:28
  the
• 27:28
  industry
• 27:29
  is
• 27:29
  really
• 27:29
  fascinating
• 27:29
  to
• 27:30
  me
• 27:30
  too.
• 27:30
  So,
• 27:31
  so
• 27:31
  if
• 27:31
  we
• 27:31
  look
• 27:31
  ahead,
• 27:31
  we
• 27:32
  always
• 27:32
  like
• 27:32
  a
• 27:32
  little
• 27:32
  prognostication
• 27:33
  on
• 27:33
  the
• 27:33
  show.
• 27:33
  If
• 27:34
  we
• 27:34
  look
• 27:34
  ahead
• 27:34
  to
• 27:34
  2026,
• 27:36
  what
• 27:36
  are
• 27:36
  those,
• 27:36
  what
• 27:36
  are
• 27:37
  those
• 27:37
  things
• 27:37
  that
• 27:37
  you
• 27:37
  think
• 27:37
  we'll
• 27:37
  be
• 27:38
  seeing
• 27:38
  next
• 27:38
  year
• 27:38
  around
• 27:39
  the
• 27:39
  corner?
• 27:41
  Yeah.
• 27:41
  So,
• 27:41
  Chris,
• 27:42
  I,
• 27:42
  I
• 27:43
  hope
• 27:43
  next
• 27:43
  year
• 27:44
  we're
• 27:44
  going
• 27:44
  to
• 27:44
  be
• 27:44
  discussing
• 27:45
  the,
• 27:46
  the
• 27:47
  first
• 27:47
  large
• 27:47
  scales
• 27:48
  AI
• 27:48
  agent
• 27:49
  deployments.
• 27:49
  And
• 27:49
  I'm
• 27:50
  really
• 27:50
  curious
• 27:50
  to
• 27:50
  know
• 27:51
  if
• 27:51
  we're
• 27:51
  going
• 27:52
  to
• 27:52
  talk
• 27:52
  about
• 27:52
  it
• 27:52
  in
• 27:53
  a
• 27:53
  positive.
• 27:54
  I
• 27:54
  think
• 27:55
  there
• 27:55
  is
• 27:56
  potential
• 27:56
  for
• 27:57
  greatness
• 27:57
  and
• 27:57
  also
• 27:58
  for
• 27:58
  disasters.
• 27:59
  I've
• 27:59
  seen
• 27:59
  a
• 27:59
  lot
• 27:59
  of
• 27:59
  different
• 28:00
  takes
• 28:01
  and
• 28:01
  that's
• 28:01
  where
• 28:02
  I
• 28:03
  think
• 28:03
  it
• 28:03
  links
• 28:03
  to
• 28:03
  what
• 28:03
  we've
• 28:04
  discussed
• 28:04
  today.
• 28:05
  You
• 28:05
  know,
• 28:05
  it
• 28:05
  needs
• 28:05
  to
• 28:05
  be
• 28:05
  done
• 28:06
  with
• 28:06
  a
• 28:06
  strong
• 28:06
  intention.
• 28:07
  You
• 28:07
  cannot
• 28:07
  just
• 28:08
  do
• 28:08
  it
• 28:08
  to
• 28:08
  replace
• 28:09
  the
• 28:09
  cost
• 28:09
  of
• 28:09
  having
• 28:10
  humans
• 28:11
  that
• 28:12
  take
• 28:12
  care
• 28:12
  of
• 28:12
  your
• 28:12
  customers.
• 28:13
  So
• 28:13
  I
• 28:14
  really
• 28:14
  want
• 28:14
  to
• 28:14
  know
• 28:15
  how
• 28:15
  that
• 28:15
  pans
• 28:16
  out.
• 28:16
  So
• 28:16
  I
• 28:16
  hope
• 28:17
  it's
• 28:17
  going
• 28:17
  to
• 28:17
  be
• 28:17
  positive,
• 28:18
  but
• 28:18
  there
• 28:19
  may
• 28:19
  be
• 28:19
  some
• 28:19
  surprises
• 28:20
  down,
• 28:20
  down
• 28:21
  the
• 28:21
  lane
• 28:21
  there
• 28:22
  and
• 28:23
  something
• 28:23
  that
• 28:23
  is
• 28:23
  more
• 28:23
  closer
• 28:24
  to
• 28:24
  the
• 28:24
  technology
• 28:24
  that
• 28:25
  we
• 28:25
  do.
• 28:26
  I
• 28:26
  really
• 28:26
  want
• 28:27
  to
• 28:27
  see
• 28:27
  those
• 28:27
  hybrid
• 28:28
  deployment
• 28:29
  especially
• 28:29
  for
• 28:30
  shelf
• 28:30
  intelligence
• 28:31
  solutions.
• 28:32
  As
• 28:32
  I
• 28:32
  said
• 28:32
  at
• 28:32
  the
• 28:32
  beginning,
• 28:33
  we
• 28:33
  have
• 28:33
  a
• 28:34
  lot
• 28:34
  of
• 28:34
  cameras
• 28:34
  all
• 28:34
  around
• 28:35
  the
• 28:35
  source
• 28:36
  and
• 28:37
  it's
• 28:38
  still
• 28:38
  tough
• 28:38
  for
• 28:39
  our
• 28:39
  retailers
• 28:39
  to
• 28:40
  put
• 28:40
  all
• 28:41
  those
• 28:41
  vision
• 28:41
  together
• 28:42
  and
• 28:43
  in
• 28:43
  the
• 28:43
  same
• 28:44
  type
• 28:44
  of
• 28:45
  technology
• 28:46
  and
• 28:46
  software.
• 28:47
  And
• 28:47
  I
• 28:47
  do
• 28:47
  think
• 28:48
  the
• 28:48
  technology
• 28:48
  is
• 28:48
  almost
• 28:49
  ready
• 28:49
  to
• 28:50
  pull
• 28:50
  it
• 28:50
  together.
• 28:51
  And
• 28:51
  I
• 28:51
  do
• 28:51
  think
• 28:52
  that
• 28:52
  in
• 28:52
  2026
• 28:53
  we're
• 28:53
  going
• 28:53
  to
• 28:53
  have
• 28:54
  amazing
• 28:55
  hybrid
• 28:56
  deployments
• 28:57
  where
• 28:57
  robots
• 28:58
  are
• 28:58
  around
• 28:58
  doing
• 28:59
  part
• 28:59
  of
• 28:59
  the
• 28:59
  job
• 28:59
  and
• 28:59
  your
• 29:00
  associates
• 29:00
  are
• 29:00
  doing
• 29:01
  the
• 29:01
  other
• 29:01
  part
• 29:01
  and
• 29:02
  maybe
• 29:02
  a
• 29:02
  fixed
• 29:02
  cameras
• 29:03
  in
• 29:03
  different
• 29:04
  store
• 29:04
  formats
• 29:05
  or
• 29:05
  for
• 29:05
  different
• 29:06
  type
• 29:06
  of
• 29:06
  aisles.
• 29:06
  And
• 29:07
  I
• 29:07
  really
• 29:07
  want
• 29:07
  to
• 29:07
  see
• 29:07
  those
• 29:08
  one
• 29:08
  maybe
• 29:08
  with
• 29:09
  some
• 29:09
  wearables,
• 29:10
  who
• 29:10
  knows.
• 29:10
  Yeah,
• 29:11
  yeah,
• 29:11
  yeah,
• 29:11
  yeah.
• 29:11
  Coordinated
• 29:12
  computer
• 29:12
  vision
• 29:13
  AI
• 29:13
  is
• 29:13
  really,
• 29:13
  is
• 29:14
  really
• 29:14
  interesting.
• 29:14
  I
• 29:14
  know
• 29:14
  and
• 29:14
  I
• 29:14
  believe
• 29:15
  in
• 29:15
  that
• 29:15
  too.
• 29:15
  But
• 29:15
  I
• 29:15
  want
• 29:15
  to
• 29:15
  go
• 29:16
  back
• 29:16
  before
• 29:16
  I
• 29:16
  let
• 29:16
  you
• 29:16
  go.
• 29:17
  Like
• 29:17
  I
• 29:17
  want
• 29:17
  to
• 29:17
  go
• 29:17
  back
• 29:17
  to
• 29:17
  the
• 29:17
  agent
• 29:18
  I
• 29:18
  think
• 29:18
  because
• 29:19
  hearing
• 29:20
  that
• 29:20
  a
• 29:20
  lot,
• 29:21
  can
• 29:21
  you
• 29:21
  paint
• 29:22
  it
• 29:22
  gets
• 29:23
  my
• 29:23
  interest.
• 29:23
  Like
• 29:24
  what
• 29:24
  does
• 29:25
  that
• 29:25
  actually
• 29:25
  look
• 29:25
  like?
• 29:26
  Like
• 29:26
  how
• 29:26
  does
• 29:26
  that,
• 29:27
  how
• 29:27
  does
• 29:27
  that
• 29:27
  change
• 29:28
  what
• 29:28
  you
• 29:28
  guys
• 29:28
  do?
• 29:29
  How
• 29:29
  does
• 29:29
  that
• 29:29
  impact
• 29:29
  retailers?
• 29:30
  How
• 29:30
  will
• 29:30
  they
• 29:30
  be
• 29:30
  doing
• 29:31
  things
• 29:31
  differently?
• 29:32
  I
• 29:32
  have
• 29:32
  trouble
• 29:32
  conceptualizing
• 29:33
  what
• 29:34
  agentic
• 29:34
  AI
• 29:35
  means
• 29:35
  within
• 29:35
  in
• 29:36
  terms
• 29:36
  of
• 29:36
  like
• 29:36
  how
• 29:37
  a
• 29:37
  store
• 29:37
  will
• 29:37
  do
• 29:38
  its
• 29:38
  day
• 29:38
  to
• 29:39
  day
• 29:39
  jobs.
• 29:39
  Like
• 29:39
  how
• 29:40
  do
• 29:40
  you
• 29:40
  think
• 29:40
  about
• 29:40
  that.
• 29:41
  Question
• 29:41
  for
• 29:41
  the
• 29:42
  store
• 29:42
  itself
• 29:43
  at
• 29:43
  Scan
• 29:44
  it
• 29:44
  Personally
• 29:44
  we
• 29:44
  are
• 29:45
  not
• 29:45
  heavily
• 29:46
  indexing
• 29:46
  on
• 29:47
  agentic
• 29:48
  right
• 29:48
  yet.
• 29:49
  It
• 29:49
  may
• 29:49
  be
• 29:50
  something
• 29:50
  that
• 29:51
  could
• 29:51
  be
• 29:51
  in
• 29:51
  the
• 29:51
  roadmap
• 29:52
  for
• 29:52
  our
• 29:52
  self
• 29:52
  intelligence
• 29:53
  solution.
• 29:53
  We're
• 29:54
  still
• 29:54
  focusing
• 29:54
  heavily
• 29:55
  on
• 29:55
  AI
• 29:56
  for
• 29:57
  task
• 29:58
  management
• 29:59
  and
• 29:59
  predictive
• 30:00
  behavior,
• 30:01
  on
• 30:01
  what's
• 30:02
  the
• 30:02
  next
• 30:03
  best
• 30:03
  action
• 30:03
  as
• 30:03
  we
• 30:04
  were
• 30:04
  saying
• 30:04
  before.
• 30:04
  So
• 30:05
  that's
• 30:05
  our
• 30:05
  main
• 30:06
  focus.
• 30:07
  I've
• 30:07
  seen
• 30:08
  some
• 30:08
  of
• 30:08
  the
• 30:08
  retailers
• 30:09
  that
• 30:09
  we
• 30:09
  work
• 30:09
  with
• 30:10
  really
• 30:10
  looking
• 30:11
  at
• 30:11
  how
• 30:11
  do
• 30:11
  I
• 30:12
  provide
• 30:12
  a
• 30:13
  sort
• 30:13
  of
• 30:13
  like
• 30:13
  a
• 30:16
  almost
• 30:16
  human
• 30:17
  interaction
• 30:18
  to
• 30:18
  our
• 30:18
  customers
• 30:19
  that
• 30:20
  want
• 30:20
  to
• 30:20
  have
• 30:20
  more
• 30:21
  information
• 30:21
  in
• 30:21
  store.
• 30:22
  And
• 30:22
  that's
• 30:23
  where
• 30:23
  I
• 30:24
  say
• 30:24
  it
• 30:24
  has
• 30:24
  a
• 30:25
  lot
• 30:25
  of
• 30:25
  good
• 30:25
  potential
• 30:26
  and
• 30:26
  bad
• 30:26
  because
• 30:27
  if
• 30:27
  it's
• 30:27
  done
• 30:28
  with
• 30:28
  the
• 30:28
  intention
• 30:29
  of
• 30:29
  helping
• 30:30
  your
• 30:30
  customer
• 30:31
  finding
• 30:31
  what
• 30:31
  they
• 30:32
  want
• 30:32
  that
• 30:33
  I
• 30:33
  think
• 30:33
  is
• 30:33
  going
• 30:34
  to
• 30:34
  is
• 30:34
  going
• 30:34
  to
• 30:34
  work.
• 30:35
  If
• 30:35
  it's
• 30:36
  done
• 30:36
  with
• 30:36
  intention
• 30:37
  of
• 30:38
  getting
• 30:38
  that
• 30:39
  cross
• 30:39
  sell
• 30:40
  or
• 30:40
  their
• 30:40
  upsell
• 30:41
  at
• 30:41
  all
• 30:42
  cost,
• 30:42
  that's
• 30:43
  where
• 30:43
  I
• 30:43
  think
• 30:44
  that
• 30:44
  it
• 30:44
  may
• 30:45
  have
• 30:45
  some
• 30:45
  challenges
• 30:46
  and
• 30:46
  I've
• 30:46
  seen
• 30:47
  like
• 30:47
  both.
• 30:48
  So
• 30:48
  some
• 30:48
  of
• 30:48
  our
• 30:48
  retailers
• 30:49
  or
• 30:49
  some
• 30:49
  of
• 30:49
  the
• 30:50
  retailers
• 30:50
  that
• 30:50
  we
• 30:50
  talk
• 30:50
  to
• 30:51
  are
• 30:51
  really
• 30:51
  taking
• 30:52
  it
• 30:52
  as
• 30:52
  a
• 30:52
  pure
• 30:53
  AI
• 30:53
  approach.
• 30:54
  Let
• 30:54
  it
• 30:54
  work
• 30:55
  on
• 30:55
  its
• 30:55
  own
• 30:55
  and
• 30:56
  understand
• 30:56
  and
• 30:57
  recommend
• 30:57
  the
• 30:58
  best
• 30:58
  product
• 30:58
  for
• 30:58
  the
• 30:59
  customer.
• 30:59
  And
• 31:00
  some
• 31:00
  maybe
• 31:00
  want
• 31:01
  to,
• 31:01
  you
• 31:01
  know,
• 31:01
  have
• 31:02
  a
• 31:02
  different
• 31:02
  take
• 31:02
  on
• 31:02
  it.
• 31:03
  So
• 31:03
  I'm
• 31:03
  curious
• 31:03
  to
• 31:04
  see
• 31:04
  what,
• 31:04
  what
• 31:05
  that's
• 31:05
  going
• 31:05
  to
• 31:05
  look
• 31:05
  like.
• 31:06
  Yeah,
• 31:06
  Chris,
• 31:07
  I
• 31:07
  think
• 31:07
  we
• 31:07
  have
• 31:07
  to
• 31:08
  start
• 31:08
  asking
• 31:08
  the
• 31:09
  same
• 31:09
  question
• 31:09
  that
• 31:09
  we
• 31:09
  used
• 31:10
  to
• 31:10
  ask
• 31:10
  people
• 31:11
  when
• 31:11
  AI
• 31:12
  started
• 31:12
  first
• 31:13
  was,
• 31:13
  you
• 31:13
  know,
• 31:14
  starting
• 31:14
  to
• 31:14
  emerge.
• 31:15
  I
• 31:15
  was
• 31:15
  just
• 31:15
  thinking
• 31:15
  the
• 31:16
  same
• 31:16
  thing.
• 31:16
  I
• 31:16
  know
• 31:16
  exactly
• 31:17
  what
• 31:17
  you're
• 31:17
  going
• 31:17
  to
• 31:17
  say.
• 31:17
  You
• 31:18
  have
• 31:18
  to
• 31:18
  ask
• 31:19
  how,
• 31:19
  what
• 31:19
  agentic
• 31:20
  AI
• 31:21
  means
• 31:21
  to
• 31:21
  people.
• 31:21
  And
• 31:22
  I'm
• 31:22
  so
• 31:22
  glad.
• 31:22
  Jessica,
• 31:23
  I
• 31:23
  think
• 31:23
  you,
• 31:23
  you
• 31:24
  gave
• 31:24
  an
• 31:24
  example
• 31:24
  of
• 31:25
  what
• 31:25
  I
• 31:25
  think
• 31:25
  most
• 31:26
  of
• 31:26
  us
• 31:26
  assume
• 31:26
  is
• 31:27
  the
• 31:27
  first
• 31:27
  move
• 31:28
  for
• 31:28
  agentic
• 31:28
  AI,
• 31:29
  which
• 31:29
  is
• 31:29
  handling
• 31:30
  some
• 31:30
  of
• 31:30
  those
• 31:31
  early
• 31:31
  on
• 31:32
  questions
• 31:32
  or
• 31:33
  prompts
• 31:34
  at
• 31:34
  customers,
• 31:34
  like
• 31:35
  almost
• 31:35
  improving
• 31:35
  the
• 31:36
  chat
• 31:36
  bot
• 31:36
  experience
• 31:37
  and
• 31:37
  making
• 31:37
  it
• 31:38
  one
• 31:38
  that
• 31:38
  actually
• 31:39
  works.
• 31:40
  But
• 31:41
  I
• 31:41
  think
• 31:41
  it's
• 31:42
  something
• 31:42
  that
• 31:42
  we
• 31:42
  have
• 31:42
  to
• 31:43
  go
• 31:43
  back
• 31:43
  and
• 31:43
  really
• 31:43
  ask
• 31:44
  each
• 31:44
  person
• 31:45
  that
• 31:45
  we
• 31:45
  talk
• 31:45
  to
• 31:45
  about
• 31:45
  it,
• 31:46
  the
• 31:46
  specific
• 31:46
  use
• 31:47
  cases
• 31:47
  that
• 31:47
  they
• 31:48
  see
• 31:49
  going
• 31:50
  forward
• 31:50
  here
• 31:50
  in
• 31:51
  the
• 31:51
  next
• 31:51
  few
• 31:52
  months
• 31:52
  even.
• 31:54
  Yeah,
• 31:54
  it's
• 31:55
  something,
• 31:55
  it's
• 31:55
  something
• 31:55
  I'm
• 31:55
  going
• 31:56
  to
• 31:56
  be
• 31:56
  keyed
• 31:56
  in
• 31:56
  on
• 31:56
  at
• 31:56
  Shop
• 31:57
  Talk
• 31:57
  too.
• 31:57
  And
• 31:57
  particularly
• 31:58
  like
• 31:58
  I'm,
• 31:59
  I
• 31:59
  actually
• 31:59
  want
• 31:59
  to
• 31:59
  understand,
• 32:00
  you
• 32:00
  know,
• 32:00
  what
• 32:00
  is
• 32:00
  agentic
• 32:01
  AI
• 32:01
  and
• 32:02
  how
• 32:02
  are,
• 32:02
  how
• 32:02
  are
• 32:03
  different
• 32:03
  people
• 32:03
  across
• 32:04
  the
• 32:04
  industry
• 32:04
  thinking
• 32:04
  it's
• 32:04
  going
• 32:05
  to
• 32:05
  play
• 32:05
  out?
• 32:05
  Because,
• 32:05
  you
• 32:05
  know,
• 32:06
  a
• 32:06
  lot
• 32:06
  of
• 32:06
  what
• 32:06
  you
• 32:06
  just
• 32:06
  said
• 32:06
  too
• 32:06
  is
• 32:06
  just
• 32:07
  traditional
• 32:07
  generative
• 32:07
  AI.
• 32:08
  But
• 32:08
  agentic
• 32:09
  AI
• 32:09
  is
• 32:09
  actually
• 32:09
  like
• 32:10
  where
• 32:10
  the,
• 32:10
  you
• 32:10
  know,
• 32:10
  from
• 32:11
  my
• 32:11
  understanding
• 32:11
  is
• 32:11
  where
• 32:11
  the
• 32:12
  AI
• 32:12
  becomes
• 32:12
  the
• 32:13
  worker.
• 32:13
  And
• 32:14
  so
• 32:14
  that's
• 32:14
  where
• 32:14
  I
• 32:14
  have
• 32:14
  trouble
• 32:15
  seeing
• 32:16
  that
• 32:16
  in
• 32:17
  the
• 32:17
  store.
• 32:17
  And
• 32:17
  Jessica,
• 32:18
  I
• 32:18
  think
• 32:18
  your
• 32:18
  point
• 32:18
  is
• 32:19
  exactly
• 32:19
  right.
• 32:20
  You
• 32:20
  have
• 32:20
  to
• 32:20
  be
• 32:20
  very
• 32:21
  smart
• 32:21
  about
• 32:21
  how
• 32:21
  you
• 32:21
  deploy
• 32:22
  that
• 32:22
  in,
• 32:23
  in
• 32:23
  an
• 32:23
  actual
• 32:23
  retail
• 32:24
  store
• 32:24
  operation
• 32:25
  if
• 32:25
  it's
• 32:25
  consumer
• 32:26
  facing
• 32:26
  or
• 32:26
  maybe
• 32:27
  it's
• 32:27
  employee
• 32:27
  facing
• 32:28
  only
• 32:28
  too,
• 32:28
  which
• 32:28
  is
• 32:28
  another
• 32:29
  angle.
• 32:29
  But
• 32:29
  we'll
• 32:30
  have
• 32:30
  to
• 32:30
  have
• 32:30
  you
• 32:30
  back
• 32:30
  to
• 32:30
  talk
• 32:31
  about
• 32:31
  that
• 32:31
  next
• 32:31
  time.
• 32:32
  It's
• 32:33
  gonna
• 32:33
  be
• 32:33
  great
• 32:33
  then.
• 32:34
  Well,
• 32:35
  Jessica,
• 32:35
  thank
• 32:36
  you
• 32:36
  so
• 32:36
  much.
• 32:36
  This
• 32:37
  was
• 32:37
  incredible.
• 32:38
  We
• 32:38
  really
• 32:38
  appreciate
• 32:39
  you
• 32:39
  taking
• 32:39
  the
• 32:40
  time
• 32:40
  with
• 32:40
  us
• 32:41
  today
• 32:41
  to
• 32:41
  share
• 32:41
  some
• 32:42
  of
• 32:42
  the
• 32:42
  trends.
• 32:42
  And
• 32:42
  then
• 32:43
  I
• 32:43
  think
• 32:43
  even
• 32:43
  more
• 32:44
  importantly,
• 32:44
  just
• 32:45
  how
• 32:45
  some
• 32:45
  of
• 32:45
  these
• 32:46
  best
• 32:46
  in
• 32:46
  class
• 32:46
  retailers
• 32:47
  are
• 32:47
  really
• 32:47
  deploying
• 32:48
  this
• 32:48
  in
• 32:49
  their
• 32:49
  stores.
• 32:49
  So
• 32:50
  thank
• 32:50
  you
• 32:50
  for
• 32:51
  shedding
• 32:51
  some
• 32:51
  light
• 32:51
  on
• 32:52
  that
• 32:52
  for
• 32:52
  us
• 32:53
  and
• 32:53
  for
• 32:53
  our
• 32:53
  audience.
• 32:54
  And
• 32:55
  Chris
• 32:55
  mentioned
• 32:55
  it.
• 32:56
  Shop
• 32:56
  Talk's
• 32:56
  coming
• 32:57
  up
• 32:57
  here.
• 32:57
  In
• 32:57
  a
• 32:57
  few
• 32:57
  days,
• 32:58
  you'll
• 32:58
  be
• 32:59
  out
• 32:59
  at
• 32:59
  Shop
• 32:59
  Talk.
• 33:00
  I
• 33:00
  imagine.
• 33:01
  What's
• 33:01
  the
• 33:01
  best
• 33:02
  way
• 33:02
  for
• 33:02
  people
• 33:02
  to
• 33:02
  get
• 33:03
  in
• 33:03
  touch
• 33:03
  with
• 33:03
  you?
• 33:04
  Whether
• 33:04
  it's
• 33:05
  scheduling
• 33:05
  time
• 33:06
  with
• 33:06
  you
• 33:06
  and
• 33:06
  the
• 33:06
  team
• 33:06
  at
• 33:06
  Shop
• 33:07
  Talk
• 33:07
  or,
• 33:07
  or
• 33:08
  following
• 33:08
  up
• 33:08
  after
• 33:09
  this
• 33:09
  event.
• 33:10
  We
• 33:11
  are
• 33:11
  participating
• 33:12
  in
• 33:12
  some
• 33:13
  of
• 33:13
  the
• 33:13
  programs
• 33:13
  from
• 33:13
  the
• 33:14
  meetup
• 33:14
  from
• 33:14
  Shop
• 33:15
  Shop
• 33:15
  Talk.
• 33:16
  So
• 33:16
  contact
• 33:16
  us
• 33:17
  there.
• 33:17
  Book
• 33:17
  your
• 33:18
  meeting.
• 33:18
  We
• 33:19
  also
• 33:19
  have
• 33:19
  a
• 33:19
  contact
• 33:19
  form
• 33:20
  on
• 33:20
  our
• 33:20
  website
• 33:21
  or
• 33:21
  hit
• 33:21
  on,
• 33:22
  on
• 33:22
  LinkedIn.
• 33:23
  My
• 33:23
  contact,
• 33:23
  Jessica
• 33:24
  Grisalia.
• 33:25
  Well,
• 33:25
  that
• 33:25
  wraps
• 33:26
  us
• 33:26
  up.
• 33:26
  Thanks
• 33:26
  to
• 33:26
  everyone
• 33:26
  for
• 33:27
  tuning
• 33:27
  in,
• 33:27
  thanks
• 33:27
  to
• 33:28
  Jessica
• 33:28
  of
• 33:28
  Scan
• 33:28
  IT
• 33:29
  for
• 33:29
  taking
• 33:29
  time
• 33:30
  with
• 33:30
  us
• 33:30
  to
• 33:30
  interview
• 33:31
  with
• 33:31
  us
• 33:32
  today,
• 33:32
  and
• 33:32
  thanks
• 33:32
  to
• 33:33
  all
• 33:33
  of
• 33:33
  you
• 33:33
  that
• 33:33
  join
• 33:33
  us
• 33:33
  live
• 33:33
  on
• 33:34
  LinkedIn.
• 33:34
  And
• 33:34
  for
• 33:34
  those
• 33:35
  that
• 33:35
  are
• 33:35
  listening
• 33:35
  in,
• 33:35
  possibly
• 33:36
  or
• 33:36
  even
• 33:36
  watching
• 33:37
  later
• 33:37
  as
• 33:38
  well,
• 33:38
  on
• 33:38
  behalf
• 33:39
  of
• 33:39
  all
• 33:39
  of
• 33:39
  us
• 33:39
  at
• 33:39
  omnitalk,
• 33:40
  as
• 33:40
  always,
• 33:40
  be
• 33:41
  careful
• 33:41
  out
• 33:41
  there.