Latest / Omni Talk Retail / How Robotics & AI Are Transforming Grocery Retail | Corey Rochkin, Oliver Wyman at FMI 2025

Transcript

How Robotics & AI Are Transforming Grocery Retail | Corey Rochkin, Oliver Wyman at FMI 2025 · Omni Talk Retail

• 0:00
  Hello,
• 0:00
  everyone.
• 0:00
  This
• 0:01
  is
• 0:01
  Omnitalk
• 0:01
  retail.
• 0:02
  I'm
• 0:02
  Chris
• 0:02
  Walton.
• 0:02
  And
• 0:02
  I'm
• 0:03
  Anne
• 0:03
  Mazinga.
• 0:03
  And
• 0:03
  we
• 0:04
  are
• 0:04
  coming
• 0:04
  to
• 0:04
  you
• 0:04
  live
• 0:05
  from
• 0:05
  the
• 0:05
  FMI
• 0:06
  conference
• 0:06
  and
• 0:06
  the
• 0:07
  Simbi
• 0:08
  booth.
• 0:08
  Booth
• 0:09
  108.
• 0:10
  Yes.
• 0:10
  We're
• 0:10
  gonna
• 0:11
  be
• 0:11
  here
• 0:11
  all
• 0:11
  day.
• 0:11
  This
• 0:11
  is
• 0:12
  our
• 0:12
  first
• 0:12
  interview
• 0:12
  of
• 0:13
  day
• 0:13
  two,
• 0:14
  and
• 0:14
  we
• 0:14
  are
• 0:14
  pleased
• 0:15
  to
• 0:15
  introduce
• 0:15
  to
• 0:15
  you.
• 0:16
  Make
• 0:16
  sure
• 0:17
  you
• 0:17
  get
• 0:17
  his
• 0:17
  name
• 0:17
  right.
• 0:17
  Corey
• 0:18
  Rokin,
• 0:19
  who
• 0:19
  is
• 0:19
  a
• 0:19
  principal
• 0:20
  at
• 0:20
  Oliver
• 0:21
  Wyman.
• 0:21
  Did
• 0:21
  I
• 0:21
  say
• 0:21
  that
• 0:22
  right?
• 0:22
  You
• 0:22
  said
• 0:22
  it
• 0:22
  perfectly
• 0:23
  well.
• 0:23
  Welcome
• 0:23
  to
• 0:24
  omnitalk.
• 0:24
  Thank
• 0:24
  you.
• 0:25
  I'm
• 0:25
  excited
• 0:25
  to
• 0:25
  be
• 0:25
  here
• 0:25
  today.
• 0:26
  We're
• 0:26
  excited
• 0:26
  to
• 0:26
  have
• 0:27
  you.
• 0:27
  I'd
• 0:28
  love
• 0:28
  for
• 0:28
  you
• 0:28
  to
• 0:28
  just
• 0:29
  give
• 0:29
  our
• 0:29
  audience
• 0:29
  a
• 0:30
  little
• 0:30
  bit
• 0:30
  of
• 0:30
  your
• 0:30
  background
• 0:31
  role
• 0:32
  and
• 0:32
  what
• 0:33
  Oliver
• 0:33
  Wyman
• 0:34
  does
• 0:34
  for
• 0:34
  those
• 0:34
  who
• 0:34
  might
• 0:35
  not
• 0:35
  be
• 0:35
  familiar.
• 0:35
  All
• 0:36
  right,
• 0:36
  that's
• 0:36
  a
• 0:36
  tall
• 0:36
  order,
• 0:37
  but
• 0:37
  I'll
• 0:37
  do
• 0:37
  what
• 0:37
  I
• 0:37
  can
• 0:38
  here.
• 0:38
  So,
• 0:39
  yeah.
• 0:39
  Corey
• 0:39
  Roken,
• 0:40
  Oliver
• 0:40
  Wyman.
• 0:40
  Oliver
• 0:41
  Wyman
• 0:41
  is,
• 0:42
  at
• 0:42
  the
• 0:42
  end
• 0:42
  of
• 0:42
  the
• 0:42
  day,
• 0:43
  management
• 0:43
  consultancy.
• 0:44
  We
• 0:44
  are
• 0:44
  a
• 0:44
  consulting
• 0:44
  firm,
• 0:45
  but
• 0:45
  our
• 0:45
  team
• 0:45
  focuses
• 0:46
  on
• 0:46
  the
• 0:46
  retail
• 0:47
  space.
• 0:47
  And
• 0:47
  we
• 0:47
  really
• 0:48
  cover
• 0:48
  end
• 0:48
  to
• 0:48
  end,
• 0:49
  from
• 0:49
  retail
• 0:50
  strategy,
• 0:50
  retail
• 0:51
  growth,
• 0:52
  down
• 0:52
  to
• 0:52
  how
• 0:52
  you
• 0:52
  actually
• 0:53
  drive
• 0:53
  change
• 0:53
  in
• 0:53
  store.
• 0:54
  And
• 0:54
  that's
• 0:54
  where
• 0:54
  I
• 0:54
  spend
• 0:54
  a
• 0:55
  lot
• 0:55
  of
• 0:55
  my
• 0:55
  time.
• 0:55
  How
• 0:55
  do
• 0:55
  you
• 0:56
  actually
• 0:56
  make
• 0:56
  impact
• 0:56
  in
• 0:57
  store?
• 0:57
  And
• 0:57
  these
• 0:58
  days,
• 0:58
  there's
• 0:59
  a
• 0:59
  lot
• 0:59
  of
• 0:59
  the
• 0:59
  traditional
• 0:59
  levers,
• 1:00
  but
• 1:00
  AI
• 1:01
  technology,
• 1:02
  robotics
• 1:03
  has
• 1:03
  really
• 1:03
  moved
• 1:03
  into
• 1:03
  the
• 1:04
  store
• 1:04
  in
• 1:04
  a
• 1:04
  way
• 1:04
  that
• 1:04
  we
• 1:04
  haven't
• 1:05
  seen
• 1:05
  in
• 1:05
  recent
• 1:05
  years.
• 1:05
  And
• 1:06
  that's
• 1:06
  where
• 1:06
  I
• 1:06
  spend
• 1:06
  a
• 1:06
  lot
• 1:07
  of
• 1:07
  my
• 1:07
  time,
• 1:07
  helping
• 1:07
  our
• 1:07
  retail
• 1:08
  clients
• 1:09
  figure
• 1:09
  out
• 1:09
  how
• 1:09
  to
• 1:09
  make
• 1:09
  that
• 1:10
  work
• 1:10
  for
• 1:10
  them.
• 1:10
  Yeah.
• 1:11
  Corey,
• 1:11
  we've
• 1:11
  heard
• 1:11
  a
• 1:11
  thing
• 1:12
  or
• 1:12
  two
• 1:12
  about
• 1:12
  you
• 1:12
  and
• 1:13
  your
• 1:13
  robotics
• 1:14
  background,
• 1:14
  so
• 1:14
  we're
• 1:15
  excited
• 1:15
  to
• 1:15
  talk
• 1:15
  to
• 1:15
  you.
• 1:16
  Yeah,
• 1:16
  we
• 1:16
  have.
• 1:16
  I
• 1:16
  mean,
• 1:16
  we
• 1:17
  heard
• 1:17
  in
• 1:17
  the
• 1:17
  halls
• 1:17
  yesterday
• 1:18
  that
• 1:18
  you're
• 1:18
  one
• 1:18
  of
• 1:18
  the
• 1:18
  foremost
• 1:19
  experts
• 1:20
  on
• 1:20
  in
• 1:21
  store
• 1:21
  technology,
• 1:21
  but
• 1:21
  particularly
• 1:22
  in
• 1:22
  store
• 1:23
  robotics.
• 1:23
  So.
• 1:24
  So
• 1:24
  my
• 1:24
  question
• 1:24
  for
• 1:24
  you
• 1:24
  is
• 1:24
  this.
• 1:25
  This
• 1:25
  morning,
• 1:25
  as
• 1:25
  we
• 1:25
  kick
• 1:26
  things
• 1:26
  off,
• 1:26
  so
• 1:27
  what
• 1:28
  separates,
• 1:28
  in
• 1:28
  your
• 1:29
  mind,
• 1:29
  in
• 1:29
  Store
• 1:29
  robotics
• 1:30
  from
• 1:30
  other
• 1:30
  tech
• 1:31
  options
• 1:31
  that
• 1:32
  claim
• 1:32
  to
• 1:32
  do
• 1:32
  the
• 1:32
  same
• 1:33
  thing?
• 1:33
  So
• 1:34
  when
• 1:34
  we
• 1:34
  look
• 1:34
  at
• 1:35
  the
• 1:35
  store
• 1:35
  and
• 1:35
  we
• 1:35
  think
• 1:35
  about
• 1:36
  what
• 1:36
  opportunities
• 1:37
  you
• 1:37
  have,
• 1:37
  you
• 1:37
  obviously
• 1:38
  have
• 1:38
  a
• 1:38
  lot
• 1:38
  of
• 1:38
  things
• 1:39
  you
• 1:39
  can
• 1:39
  do
• 1:39
  that
• 1:40
  put
• 1:40
  more
• 1:40
  power
• 1:41
  in
• 1:41
  the
• 1:41
  hands
• 1:41
  of
• 1:41
  our
• 1:41
  associates
• 1:42
  that
• 1:42
  lets
• 1:42
  them
• 1:42
  do
• 1:42
  their
• 1:43
  jobs
• 1:43
  better.
• 1:43
  And
• 1:44
  then
• 1:44
  you
• 1:44
  have
• 1:44
  technology
• 1:45
  that
• 1:45
  can
• 1:45
  actually
• 1:45
  help
• 1:46
  augment
• 1:46
  the
• 1:46
  workforce
• 1:46
  as
• 1:47
  a
• 1:47
  whole
• 1:47
  do
• 1:48
  things.
• 1:48
  And
• 1:48
  we're
• 1:48
  in
• 1:49
  a
• 1:49
  world
• 1:49
  today
• 1:49
  where
• 1:49
  labor
• 1:49
  in
• 1:50
  store
• 1:50
  is
• 1:50
  a
• 1:50
  challenge.
• 1:50
  We
• 1:50
  can't
• 1:51
  fill
• 1:51
  roles,
• 1:51
  we
• 1:51
  can't
• 1:51
  get
• 1:52
  enough
• 1:52
  associates,
• 1:52
  especially
• 1:53
  associates
• 1:53
  with
• 1:54
  expenses.
• 1:55
  And
• 1:55
  so
• 1:55
  if
• 1:55
  we
• 1:55
  can
• 1:56
  help
• 1:56
  augment
• 1:56
  them,
• 1:57
  let
• 1:57
  the
• 1:57
  people
• 1:58
  in
• 1:58
  the
• 1:58
  store
• 1:58
  do
• 1:58
  the
• 1:59
  jobs
• 1:59
  that
• 1:59
  we
• 1:59
  need
• 1:59
  people
• 2:00
  doing
• 2:00
  and
• 2:01
  think
• 2:01
  about
• 2:01
  opportunities
• 2:02
  we
• 2:02
  can
• 2:02
  leverage
• 2:02
  Robotics
• 2:03
  to
• 2:03
  fill
• 2:03
  some
• 2:04
  of
• 2:04
  those
• 2:04
  gaps.
• 2:04
  That
• 2:05
  I
• 2:05
  think
• 2:05
  is
• 2:05
  really
• 2:05
  the
• 2:05
  power
• 2:06
  of
• 2:06
  robotics
• 2:07
  and
• 2:07
  a
• 2:07
  lot
• 2:07
  of
• 2:07
  the
• 2:08
  work
• 2:08
  with
• 2:08
  robotics,
• 2:09
  vision,
• 2:10
  AI
• 2:10
  and
• 2:10
  other
• 2:11
  technology
• 2:11
  and
• 2:11
  how
• 2:11
  they
• 2:11
  can
• 2:12
  unlock
• 2:12
  capacity
• 2:12
  in
• 2:12
  the
• 2:12
  store
• 2:13
  is
• 2:13
  really,
• 2:13
  I
• 2:13
  think,
• 2:13
  going
• 2:13
  to
• 2:14
  be
• 2:14
  the
• 2:14
  differentiator
• 2:14
  and
• 2:15
  where
• 2:15
  the
• 2:15
  power
• 2:15
  is
• 2:15
  going
• 2:15
  to
• 2:15
  be
• 2:15
  there.
• 2:16
  But
• 2:16
  let
• 2:16
  me
• 2:16
  press
• 2:16
  you
• 2:16
  on
• 2:16
  that
• 2:17
  because
• 2:17
  like,
• 2:17
  you
• 2:17
  know,
• 2:18
  for
• 2:18
  people
• 2:18
  that
• 2:18
  are
• 2:18
  pretty,
• 2:18
  you
• 2:19
  know,
• 2:20
  you
• 2:20
  know,
• 2:20
  have
• 2:20
  a
• 2:20
  pretty
• 2:21
  strong
• 2:21
  acumen
• 2:21
  about
• 2:22
  this
• 2:22
  type,
• 2:23
  you
• 2:23
  know,
• 2:23
  you
• 2:23
  could
• 2:23
  argue
• 2:24
  like,
• 2:24
  you
• 2:24
  could
• 2:24
  say,
• 2:24
  well,
• 2:24
  why
• 2:25
  don't
• 2:25
  I
• 2:25
  just
• 2:25
  use
• 2:25
  fixed
• 2:25
  position
• 2:26
  cameras
• 2:26
  versus
• 2:27
  robotics?
• 2:27
  Like,
• 2:27
  what's
• 2:27
  your
• 2:28
  thought
• 2:28
  there?
• 2:28
  Capital.
• 2:29
  Capital.
• 2:30
  Okay?
• 2:30
  Capital.
• 2:31
  Fixed
• 2:31
  position
• 2:31
  cameras
• 2:32
  are
• 2:32
  very
• 2:32
  expensive.
• 2:33
  You
• 2:33
  need
• 2:33
  to
• 2:33
  cover
• 2:34
  a
• 2:34
  full
• 2:34
  store,
• 2:34
  like
• 2:34
  a
• 2:34
  full
• 2:35
  grocery
• 2:35
  store.
• 2:35
  You
• 2:35
  need
• 2:35
  a
• 2:36
  massive
• 2:36
  number
• 2:36
  of
• 2:36
  cameras
• 2:37
  everywhere.
• 2:38
  Robotics,
• 2:39
  you
• 2:39
  could
• 2:39
  have
• 2:39
  one
• 2:39
  robot
• 2:40
  going
• 2:40
  up
• 2:40
  and
• 2:40
  down
• 2:40
  every
• 2:41
  single
• 2:41
  aisle
• 2:41
  throughout
• 2:42
  the
• 2:42
  day
• 2:42
  and
• 2:43
  that
• 2:43
  covers
• 2:44
  that
• 2:44
  cost
• 2:44
  in
• 2:44
  a
• 2:44
  much
• 2:45
  more
• 2:45
  meaningful
• 2:45
  way.
• 2:46
  Now
• 2:46
  does
• 2:46
  that
• 2:46
  give
• 2:47
  the
• 2:47
  frequency
• 2:47
  of
• 2:47
  data
• 2:48
  that
• 2:48
  you
• 2:48
  need
• 2:48
  to
• 2:48
  drive
• 2:48
  the
• 2:49
  impact
• 2:49
  to
• 2:49
  get
• 2:49
  the
• 2:49
  information
• 2:50
  that
• 2:50
  you
• 2:50
  want?
• 2:50
  That
• 2:50
  I
• 2:51
  think
• 2:51
  is
• 2:51
  some
• 2:51
  of
• 2:51
  the
• 2:51
  trade
• 2:51
  off
• 2:51
  that
• 2:52
  we're
• 2:52
  seeing.
• 2:52
  And
• 2:53
  we're
• 2:53
  seeing
• 2:53
  some
• 2:53
  retailers
• 2:54
  and
• 2:54
  some
• 2:54
  other
• 2:54
  technologies
• 2:55
  come
• 2:55
  out
• 2:55
  with
• 2:56
  other
• 2:57
  options.
• 2:57
  Even
• 2:58
  a
• 2:58
  lot
• 2:58
  of
• 2:58
  players
• 2:58
  looking
• 2:59
  at
• 2:59
  how
• 2:59
  they
• 2:59
  can
• 2:59
  leverage
• 2:59
  their
• 3:00
  CCTV
• 3:00
  camera
• 3:01
  network
• 3:01
  information.
• 3:02
  But
• 3:02
  again,
• 3:03
  a
• 3:03
  lower
• 3:04
  capital
• 3:04
  play
• 3:04
  of
• 3:05
  can
• 3:05
  I
• 3:05
  get
• 3:05
  one
• 3:05
  robot
• 3:07
  that
• 3:07
  can
• 3:07
  move
• 3:07
  up
• 3:08
  and
• 3:08
  down
• 3:08
  my
• 3:08
  aisles,
• 3:09
  that
• 3:09
  can
• 3:09
  do
• 3:09
  things
• 3:09
  instead
• 3:10
  of
• 3:10
  having
• 3:10
  to
• 3:10
  cover
• 3:10
  my
• 3:10
  entire
• 3:11
  store
• 3:11
  with
• 3:11
  cameras?
• 3:12
  That
• 3:12
  traditionally
• 3:13
  has
• 3:13
  been
• 3:13
  the
• 3:13
  argument
• 3:14
  for
• 3:14
  that
• 3:14
  type
• 3:15
  of
• 3:15
  technology.
• 3:15
  And
• 3:15
  it's
• 3:15
  kind
• 3:16
  of
• 3:16
  a
• 3:16
  false
• 3:16
  dichotomy
• 3:17
  too
• 3:17
  in
• 3:17
  a
• 3:17
  lot
• 3:17
  of
• 3:17
  ways.
• 3:17
  Because
• 3:17
  it's
• 3:18
  not
• 3:18
  really
• 3:18
  an
• 3:18
  either
• 3:18
  or
• 3:19
  question.
• 3:19
  It's
• 3:19
  a
• 3:19
  situational
• 3:20
  based
• 3:20
  question
• 3:21
  at
• 3:21
  the
• 3:21
  end
• 3:21
  of
• 3:21
  the
• 3:21
  day.
• 3:21
  Is
• 3:21
  that
• 3:21
  right?
• 3:22
  And
• 3:22
  they
• 3:22
  solve
• 3:22
  different
• 3:22
  problems
• 3:23
  sometimes.
• 3:24
  Like
• 3:24
  a
• 3:25
  robot
• 3:25
  can
• 3:25
  do
• 3:25
  one
• 3:26
  thing
• 3:26
  where
• 3:26
  fixed
• 3:27
  position
• 3:27
  cameras
• 3:27
  can
• 3:27
  do
• 3:28
  others.
• 3:28
  I
• 3:28
  also
• 3:28
  know
• 3:29
  some
• 3:29
  retailers
• 3:29
  have
• 3:29
  both
• 3:30
  and
• 3:30
  have
• 3:31
  fixed
• 3:31
  position
• 3:31
  in
• 3:31
  some
• 3:31
  of
• 3:32
  their
• 3:32
  stores
• 3:32
  or
• 3:32
  in
• 3:32
  some
• 3:32
  of
• 3:32
  their
• 3:33
  departments.
• 3:33
  And
• 3:34
  robotics
• 3:35
  that
• 3:35
  fill
• 3:35
  some
• 3:35
  of
• 3:35
  the
• 3:35
  gaps.
• 3:36
  This
• 3:36
  is
• 3:37
  really
• 3:37
  especially
• 3:37
  today
• 3:38
  where
• 3:38
  there's
• 3:39
  so
• 3:39
  many
• 3:40
  new
• 3:40
  technologies
• 3:41
  that
• 3:41
  we're
• 3:41
  still
• 3:41
  trying
• 3:41
  to
• 3:41
  learn.
• 3:42
  It's
• 3:42
  really
• 3:42
  about
• 3:43
  experimenting,
• 3:44
  trying
• 3:44
  different
• 3:44
  things,
• 3:44
  finding
• 3:45
  what
• 3:45
  works.
• 3:45
  And
• 3:45
  so
• 3:46
  it's
• 3:46
  really
• 3:46
  that
• 3:46
  mixed
• 3:47
  approach
• 3:47
  that
• 3:47
  we're
• 3:47
  finding
• 3:48
  works
• 3:48
  at
• 3:48
  this
• 3:48
  stage.
• 3:49
  And
• 3:49
  I
• 3:50
  think
• 3:50
  I
• 3:50
  know
• 3:50
  the
• 3:50
  answer
• 3:50
  to
• 3:50
  this
• 3:50
  question
• 3:51
  too,
• 3:51
  based
• 3:51
  on
• 3:51
  what
• 3:51
  you
• 3:51
  said
• 3:52
  in
• 3:52
  the
• 3:52
  outset.
• 3:52
  But
• 3:53
  why
• 3:53
  robotics
• 3:54
  or
• 3:54
  even
• 3:55
  fixed
• 3:55
  position
• 3:55
  cameras
• 3:56
  over
• 3:56
  putting
• 3:56
  the
• 3:56
  device
• 3:57
  in
• 3:57
  the
• 3:57
  employees
• 3:57
  hands
• 3:58
  to
• 3:58
  take
• 3:58
  photos
• 3:59
  and
• 3:59
  get
• 3:59
  the
• 3:59
  information
• 4:00
  that
• 4:00
  way.
• 4:02
  We're
• 4:02
  in
• 4:02
  a
• 4:03
  position
• 4:03
  right
• 4:03
  now
• 4:03
  where
• 4:03
  labor
• 4:04
  is
• 4:04
  so
• 4:04
  tight
• 4:04
  in
• 4:04
  our
• 4:05
  stores
• 4:05
  that
• 4:05
  we're
• 4:06
  forcing
• 4:06
  our
• 4:06
  staff
• 4:06
  to
• 4:07
  be
• 4:07
  so
• 4:07
  busy
• 4:07
  filling
• 4:08
  shelves,
• 4:08
  doing
• 4:08
  work
• 4:09
  that
• 4:09
  they're
• 4:09
  not
• 4:09
  doing,
• 4:09
  we
• 4:09
  want
• 4:10
  them
• 4:10
  to
• 4:10
  do,
• 4:10
  which
• 4:10
  is
• 4:10
  interacting
• 4:11
  with
• 4:11
  customers.
• 4:12
  That
• 4:12
  is
• 4:12
  right
• 4:13
  now
• 4:13
  one
• 4:13
  of
• 4:13
  the
• 4:13
  biggest
• 4:14
  challenges
• 4:14
  in
• 4:15
  traditional
• 4:15
  retail,
• 4:16
  especially
• 4:16
  grocery
• 4:16
  retail,
• 4:17
  is
• 4:17
  our
• 4:17
  customers,
• 4:18
  when
• 4:18
  they
• 4:18
  walk
• 4:18
  into
• 4:18
  store,
• 4:19
  they
• 4:19
  no
• 4:19
  longer
• 4:19
  have
• 4:20
  that
• 4:20
  high
• 4:20
  service,
• 4:20
  high
• 4:21
  experience.
• 4:22
  I
• 4:22
  have
• 4:22
  a
• 4:22
  question.
• 4:23
  Who
• 4:23
  do
• 4:23
  I
• 4:23
  ask?
• 4:24
  Type
• 4:24
  environment.
• 4:24
  We
• 4:25
  want
• 4:25
  to
• 4:25
  bring
• 4:25
  that
• 4:25
  back
• 4:25
  to
• 4:25
  retail,
• 4:26
  right?
• 4:26
  Yeah,
• 4:26
  we
• 4:26
  want
• 4:26
  to
• 4:26
  bring
• 4:27
  that
• 4:27
  high
• 4:27
  quality
• 4:27
  experience
• 4:28
  back
• 4:28
  to
• 4:28
  retail.
• 4:29
  And
• 4:29
  the
• 4:29
  only
• 4:30
  way
• 4:30
  to
• 4:30
  do
• 4:30
  that
• 4:30
  is
• 4:30
  to
• 4:31
  unlock
• 4:31
  the
• 4:31
  capacity
• 4:32
  of
• 4:32
  our
• 4:32
  store
• 4:32
  teams
• 4:33
  that
• 4:33
  are
• 4:33
  so
• 4:33
  busy
• 4:34
  doing
• 4:34
  other
• 4:35
  things,
• 4:35
  doing
• 4:35
  tasks
• 4:36
  that
• 4:36
  can
• 4:36
  be
• 4:37
  supported
• 4:38
  by
• 4:38
  technology,
• 4:39
  by
• 4:39
  robotics,
• 4:39
  by
• 4:40
  other
• 4:40
  things.
• 4:40
  And
• 4:40
  so
• 4:40
  that
• 4:40
  is
• 4:40
  really
• 4:41
  what
• 4:41
  I,
• 4:41
  what
• 4:41
  I
• 4:41
  would
• 4:41
  like
• 4:41
  to
• 4:41
  see
• 4:42
  what
• 4:42
  we
• 4:42
  think
• 4:42
  is
• 4:43
  necessary
• 4:43
  to
• 4:43
  bring
• 4:43
  back
• 4:44
  the
• 4:44
  unique
• 4:45
  aspect
• 4:45
  used
• 4:45
  to
• 4:45
  have
• 4:46
  in
• 4:46
  full
• 4:46
  service
• 4:46
  grocery
• 4:47
  retail.
• 4:47
  Yeah,
• 4:47
  and
• 4:47
  it
• 4:48
  requires
• 4:48
  training,
• 4:49
  new
• 4:49
  training.
• 4:49
  How
• 4:49
  do
• 4:49
  you
• 4:50
  specifically
• 4:50
  train
• 4:50
  a
• 4:50
  robot
• 4:51
  once?
• 4:51
  Yeah,
• 4:51
  you
• 4:51
  train
• 4:52
  a
• 4:52
  robot
• 4:52
  once,
• 4:52
  you
• 4:52
  have
• 4:53
  to
• 4:53
  train
• 4:53
  a
• 4:53
  new
• 4:54
  staff
• 4:54
  member
• 4:54
  all
• 4:54
  the
• 4:55
  time.
• 4:55
  And
• 4:55
  it
• 4:55
  gets
• 4:55
  back
• 4:55
  to
• 4:55
  what
• 4:56
  you
• 4:56
  were
• 4:56
  saying
• 4:56
  with
• 4:56
  like
• 4:57
  just
• 4:57
  interacting
• 4:58
  with
• 4:58
  customers
• 4:58
  is
• 4:58
  a
• 4:58
  much
• 4:59
  more
• 4:59
  natural
• 4:59
  thing
• 4:59
  for
• 5:00
  a
• 5:00
  new
• 5:00
  associate
• 5:01
  to
• 5:01
  be
• 5:01
  able
• 5:01
  to
• 5:01
  learn
• 5:01
  how
• 5:01
  to
• 5:02
  do.
• 5:02
  I
• 5:02
  imagine
• 5:03
  that's
• 5:03
  true.
• 5:05
  Multi
• 5:05
  decade,
• 5:06
  super
• 5:07
  experienced
• 5:08
  retail
• 5:08
  associate
• 5:09
  is
• 5:09
  a
• 5:09
  thing
• 5:09
  of
• 5:09
  the
• 5:09
  past.
• 5:09
  Yeah,
• 5:10
  we
• 5:10
  no
• 5:10
  longer
• 5:10
  have
• 5:10
  that.
• 5:11
  We
• 5:11
  no
• 5:11
  longer
• 5:11
  have
• 5:11
  that
• 5:11
  anymore.
• 5:12
  And
• 5:12
  so
• 5:13
  we
• 5:13
  need
• 5:13
  to
• 5:13
  create
• 5:14
  environments
• 5:14
  where
• 5:14
  we
• 5:14
  can
• 5:14
  still
• 5:15
  set
• 5:15
  our
• 5:15
  associates
• 5:16
  up
• 5:16
  for
• 5:16
  our
• 5:17
  team
• 5:17
  members
• 5:17
  up
• 5:17
  for
• 5:18
  success,
• 5:18
  even
• 5:18
  if
• 5:18
  they
• 5:18
  don't
• 5:19
  have
• 5:19
  the
• 5:20
  generations
• 5:20
  of
• 5:20
  experience
• 5:21
  that
• 5:21
  we
• 5:21
  once
• 5:21
  had
• 5:22
  behind
• 5:22
  the
• 5:22
  store.
• 5:22
  So
• 5:22
  technology
• 5:23
  can
• 5:23
  help
• 5:23
  augment
• 5:24
  them,
• 5:24
  can
• 5:24
  help
• 5:24
  make
• 5:25
  them
• 5:25
  more
• 5:25
  powerful,
• 5:26
  more
• 5:26
  successful
• 5:26
  from
• 5:27
  day
• 5:27
  one.
• 5:27
  So
• 5:27
  it's
• 5:27
  both,
• 5:28
  yes,
• 5:28
  you
• 5:28
  don't
• 5:28
  need
• 5:28
  to
• 5:28
  train
• 5:29
  a
• 5:29
  robot,
• 5:29
  but
• 5:29
  it's
• 5:29
  also,
• 5:30
  how
• 5:30
  can
• 5:30
  robots,
• 5:31
  how
• 5:31
  can
• 5:31
  other
• 5:32
  technology
• 5:32
  make
• 5:32
  an
• 5:33
  associate
• 5:33
  more
• 5:33
  productive,
• 5:34
  more
• 5:34
  effective
• 5:34
  in
• 5:34
  day
• 5:35
  one
• 5:35
  of
• 5:35
  their
• 5:35
  job
• 5:35
  instead
• 5:36
  of
• 5:36
  having
• 5:36
  to
• 5:36
  go
• 5:36
  through
• 5:37
  days,
• 5:37
  weeks,
• 5:38
  months
• 5:38
  of
• 5:38
  training?
• 5:38
  Yeah.
• 5:39
  Well,
• 5:40
  Corey,
• 5:40
  I'm
• 5:40
  curious.
• 5:41
  You're
• 5:42
  making
• 5:42
  some
• 5:42
  really
• 5:42
  compelling
• 5:43
  cases.
• 5:43
  I
• 5:44
  don't
• 5:44
  think
• 5:44
  our
• 5:44
  audience
• 5:44
  will
• 5:45
  disagree
• 5:45
  with
• 5:45
  you,
• 5:45
  but
• 5:46
  where
• 5:46
  are
• 5:47
  we
• 5:47
  on
• 5:48
  the
• 5:48
  robot
• 5:48
  adoption
• 5:49
  curve
• 5:49
  right
• 5:50
  now?
• 5:50
  And
• 5:51
  where
• 5:51
  do
• 5:52
  you
• 5:52
  think
• 5:52
  we're
• 5:52
  headed?
• 5:53
  When
• 5:53
  will,
• 5:54
  when
• 5:54
  will
• 5:54
  all
• 5:55
  of
• 5:55
  the
• 5:55
  retailers
• 5:56
  listening
• 5:56
  pull
• 5:57
  the
• 5:57
  trigger
• 5:57
  on
• 5:57
  investing
• 5:58
  in
• 5:58
  robotics
• 5:59
  versus
• 5:59
  just
• 6:00
  exploring?
• 6:01
  We'll
• 6:01
  say,
• 6:02
  I
• 6:02
  would
• 6:02
  say
• 6:02
  we
• 6:02
  are
• 6:03
  very
• 6:03
  much
• 6:03
  still
• 6:03
  in
• 6:03
  the
• 6:04
  exploration
• 6:04
  stage.
• 6:05
  If
• 6:05
  you
• 6:05
  look
• 6:05
  across
• 6:06
  all
• 6:06
  retailers,
• 6:07
  there
• 6:07
  are
• 6:07
  some
• 6:07
  leading
• 6:08
  players,
• 6:08
  there
• 6:08
  are
• 6:08
  some
• 6:09
  who
• 6:09
  are
• 6:09
  pushing
• 6:09
  the
• 6:09
  mvp,
• 6:10
  But
• 6:10
  I
• 6:10
  think
• 6:11
  very
• 6:11
  much
• 6:11
  we're
• 6:11
  still
• 6:11
  in
• 6:11
  the
• 6:11
  exploration
• 6:12
  stage.
• 6:13
  I
• 6:13
  think
• 6:13
  some
• 6:14
  version
• 6:14
  of
• 6:14
  the
• 6:14
  technology
• 6:15
  is
• 6:15
  inevitable.
• 6:16
  Yeah,
• 6:16
  we
• 6:17
  talk
• 6:17
  about
• 6:17
  this
• 6:17
  in
• 6:18
  a
• 6:18
  lot
• 6:18
  of
• 6:18
  different,
• 6:19
  a
• 6:19
  lot
• 6:19
  of
• 6:19
  the
• 6:19
  net
• 6:20
  new
• 6:20
  technology
• 6:20
  in
• 6:20
  the
• 6:20
  market.
• 6:21
  Like,
• 6:21
  we
• 6:22
  are
• 6:22
  somewhat
• 6:22
  inevitable
• 6:23
  in
• 6:23
  this
• 6:23
  coming
• 6:23
  into
• 6:24
  the
• 6:24
  store.
• 6:24
  Is
• 6:24
  it
• 6:24
  going
• 6:24
  to
• 6:24
  take
• 6:25
  the
• 6:25
  same
• 6:25
  form
• 6:25
  or
• 6:25
  same
• 6:26
  flavor
• 6:26
  that
• 6:26
  we
• 6:26
  see.
• 6:27
  Maybe
• 6:27
  not,
• 6:27
  but
• 6:27
  it'll
• 6:27
  come.
• 6:28
  We
• 6:28
  are
• 6:28
  very
• 6:29
  much
• 6:29
  still
• 6:29
  in
• 6:29
  the
• 6:29
  exploration
• 6:30
  stage,
• 6:30
  mainly
• 6:31
  because
• 6:31
  firstly,
• 6:33
  retailers
• 6:33
  don't
• 6:33
  always
• 6:34
  have
• 6:34
  the
• 6:34
  economic
• 6:34
  capacity
• 6:35
  to
• 6:35
  do
• 6:35
  the
• 6:35
  type
• 6:36
  of
• 6:36
  innovation
• 6:36
  that
• 6:36
  other
• 6:37
  industries
• 6:37
  can.
• 6:38
  We
• 6:38
  also
• 6:39
  know
• 6:39
  that
• 6:39
  at
• 6:39
  the
• 6:39
  end
• 6:39
  of
• 6:39
  the
• 6:39
  day,
• 6:40
  the
• 6:40
  customer
• 6:41
  is
• 6:41
  in
• 6:41
  person
• 6:41
  in
• 6:42
  the
• 6:42
  store
• 6:42
  and
• 6:42
  we're
• 6:42
  very
• 6:43
  cautious,
• 6:43
  very
• 6:44
  careful
• 6:44
  about
• 6:44
  anything
• 6:45
  that
• 6:45
  can
• 6:45
  impede
• 6:46
  that
• 6:46
  customer
• 6:47
  experience.
• 6:48
  So
• 6:48
  just
• 6:49
  taking
• 6:49
  it
• 6:49
  slow,
• 6:49
  finding
• 6:50
  the
• 6:50
  right
• 6:50
  things
• 6:50
  that
• 6:50
  work,
• 6:50
  that
• 6:50
  is
• 6:51
  still
• 6:51
  the
• 6:51
  stage
• 6:51
  we're
• 6:51
  at.
• 6:51
  Again,
• 6:52
  there
• 6:52
  are
• 6:52
  some
• 6:52
  retailers
• 6:53
  that
• 6:53
  are
• 6:53
  pushing
• 6:53
  the
• 6:53
  envelope
• 6:54
  and
• 6:54
  that
• 6:55
  are
• 6:55
  seeing
• 6:55
  really
• 6:55
  incredible
• 6:56
  impacts
• 6:56
  because
• 6:57
  of
• 6:57
  that.
• 6:57
  But
• 6:58
  I
• 6:58
  think
• 6:58
  it's
• 6:58
  going
• 6:58
  to
• 6:58
  be
• 6:58
  time
• 6:59
  before
• 6:59
  you
• 6:59
  really
• 6:59
  find
• 6:59
  that
• 7:00
  these
• 7:00
  are
• 7:00
  the
• 7:00
  standard
• 7:00
  across
• 7:01
  the
• 7:01
  industry.
• 7:01
  But
• 7:01
  I
• 7:02
  do
• 7:02
  think
• 7:02
  that
• 7:02
  will
• 7:02
  come.
• 7:03
  So
• 7:03
  capital
• 7:04
  being
• 7:04
  one
• 7:05
  thing,
• 7:06
  willingness
• 7:07
  to
• 7:07
  put
• 7:07
  technology
• 7:08
  in
• 7:08
  stores
• 7:08
  and
• 7:09
  what
• 7:09
  consumers
• 7:10
  or
• 7:10
  customers
• 7:11
  level
• 7:12
  of
• 7:12
  acceptance
• 7:12
  will
• 7:13
  be.
• 7:13
  Concern
• 7:13
  about
• 7:14
  disrupting
• 7:14
  the
• 7:14
  in
• 7:14
  store
• 7:15
  processes.
• 7:15
  Yeah,
• 7:16
  the
• 7:17
  in
• 7:17
  store
• 7:17
  processes
• 7:17
  are
• 7:17
  such
• 7:18
  are
• 7:18
  built
• 7:18
  on
• 7:18
  discipline,
• 7:19
  on
• 7:19
  structure,
• 7:20
  on
• 7:20
  train
• 7:20
  someone
• 7:21
  to
• 7:21
  do
• 7:21
  something
• 7:21
  and
• 7:22
  do
• 7:22
  it
• 7:22
  well
• 7:22
  over
• 7:23
  and
• 7:23
  over
• 7:23
  again
• 7:24
  and
• 7:24
  you
• 7:24
  introduce
• 7:24
  something
• 7:25
  new,
• 7:25
  you
• 7:25
  shake
• 7:25
  that
• 7:26
  process.
• 7:26
  I
• 7:27
  keep
• 7:27
  on
• 7:27
  coming
• 7:27
  back
• 7:27
  to
• 7:27
  the
• 7:28
  complexity
• 7:28
  that's
• 7:28
  coming
• 7:29
  into
• 7:29
  storage
• 7:30
  and
• 7:30
  this
• 7:30
  is
• 7:30
  just
• 7:31
  the
• 7:31
  risk
• 7:31
  of
• 7:32
  just
• 7:32
  causing
• 7:32
  trouble
• 7:32
  there.
• 7:32
  Which
• 7:33
  is
• 7:33
  kind
• 7:33
  of
• 7:33
  an
• 7:33
  interesting
• 7:34
  point
• 7:35
  of
• 7:35
  view
• 7:35
  to
• 7:35
  begin
• 7:36
  with
• 7:36
  because
• 7:36
  that's
• 7:36
  what
• 7:36
  a
• 7:36
  robot
• 7:37
  does,
• 7:37
  is
• 7:37
  it
• 7:37
  comes
• 7:37
  in
• 7:38
  and
• 7:38
  does
• 7:38
  things
• 7:38
  the
• 7:38
  same
• 7:38
  way
• 7:39
  every
• 7:39
  time
• 7:39
  over
• 7:39
  and
• 7:39
  over
• 7:40
  and
• 7:40
  over
• 7:40
  again
• 7:40
  too.
• 7:41
  Which
• 7:41
  is,
• 7:41
  which
• 7:41
  is
• 7:41
  fascinating.
• 7:41
  It's
• 7:42
  a
• 7:42
  fascinating
• 7:42
  dichotomy
• 7:43
  intellectually
• 7:43
  when
• 7:43
  you
• 7:43
  think
• 7:44
  about
• 7:44
  it.
• 7:44
  All
• 7:44
  right,
• 7:44
  so
• 7:45
  what
• 7:46
  are
• 7:46
  the
• 7:46
  cut
• 7:47
  and
• 7:47
  dried.
• 7:48
  Well,
• 7:48
  two
• 7:48
  questions.
• 7:49
  What
• 7:49
  are
• 7:49
  the
• 7:49
  cut
• 7:49
  and
• 7:49
  dried
• 7:50
  use
• 7:50
  cases
• 7:50
  you're
• 7:50
  seeing
• 7:51
  or
• 7:51
  the
• 7:51
  value
• 7:52
  that
• 7:52
  robotics
• 7:52
  is
• 7:53
  creating
• 7:53
  in
• 7:53
  store
• 7:54
  number
• 7:54
  one
• 7:55
  right
• 7:55
  now?
• 7:56
  And
• 7:56
  then
• 7:57
  what
• 7:57
  are
• 7:57
  those
• 7:57
  use
• 7:58
  cases
• 7:58
  that
• 7:58
  are
• 7:58
  maybe
• 7:59
  not
• 7:59
  as
• 7:59
  well
• 8:00
  known
• 8:00
  yet,
• 8:00
  but
• 8:00
  that
• 8:01
  you
• 8:01
  think
• 8:01
  are
• 8:01
  to
• 8:01
  come
• 8:02
  in
• 8:02
  the
• 8:02
  future?
• 8:03
  Yeah,
• 8:03
  I
• 8:04
  think
• 8:04
  as
• 8:04
  we've
• 8:04
  seen
• 8:04
  robotics
• 8:05
  and
• 8:05
  we've
• 8:05
  seen
• 8:05
  technology
• 8:06
  come
• 8:06
  to
• 8:06
  store
• 8:07
  areas
• 8:08
  like
• 8:08
  inventory
• 8:08
  management,
• 8:09
  areas
• 8:10
  like
• 8:10
  planogram
• 8:11
  verification,
• 8:12
  price
• 8:12
  verification,
• 8:13
  those
• 8:13
  have
• 8:13
  been
• 8:14
  somewhat
• 8:14
  tried
• 8:14
  and
• 8:14
  tested
• 8:16
  use
• 8:16
  cases,
• 8:17
  again,
• 8:17
  they're
• 8:17
  still.
• 8:18
  Every
• 8:18
  retailer
• 8:18
  has
• 8:18
  a
• 8:19
  different
• 8:19
  profile
• 8:19
  on
• 8:19
  whether
• 8:19
  those
• 8:20
  actually
• 8:20
  make
• 8:20
  sense
• 8:20
  for
• 8:20
  them
• 8:21
  or
• 8:21
  not.
• 8:21
  But
• 8:21
  those
• 8:21
  are
• 8:22
  pretty
• 8:22
  well
• 8:23
  tested
• 8:24
  use
• 8:24
  cases.
• 8:25
  As
• 8:25
  we
• 8:25
  get
• 8:25
  more,
• 8:25
  we're
• 8:26
  seeing
• 8:26
  retailers
• 8:27
  start
• 8:27
  to
• 8:27
  use
• 8:27
  it
• 8:27
  for
• 8:27
  things
• 8:28
  like
• 8:28
  quality
• 8:29
  checking.
• 8:29
  What's
• 8:30
  the
• 8:30
  quality
• 8:30
  of
• 8:30
  my
• 8:30
  produce
• 8:31
  on
• 8:31
  the
• 8:31
  shelf?
• 8:31
  Am
• 8:32
  I
• 8:32
  finding
• 8:32
  bad
• 8:33
  apples,
• 8:33
  bad
• 8:33
  peaches
• 8:34
  and
• 8:34
  do
• 8:34
  I
• 8:34
  need
• 8:35
  to
• 8:35
  send
• 8:35
  people
• 8:35
  to
• 8:35
  do
• 8:35
  that
• 8:35
  rotation
• 8:36
  and
• 8:36
  even
• 8:37
  how
• 8:37
  you
• 8:37
  use
• 8:37
  that
• 8:37
  information
• 8:38
  more
• 8:38
  upstream?
• 8:39
  How
• 8:39
  do
• 8:39
  I
• 8:39
  provide
• 8:39
  that
• 8:39
  data
• 8:40
  back
• 8:40
  up
• 8:40
  to
• 8:41
  my
• 8:41
  central
• 8:42
  teams,
• 8:42
  my
• 8:42
  supply
• 8:42
  chain,
• 8:43
  my
• 8:43
  suppliers?
• 8:44
  How
• 8:44
  do
• 8:44
  I
• 8:44
  monetize
• 8:45
  that
• 8:45
  information
• 8:46
  that
• 8:46
  is
• 8:46
  very
• 8:47
  much
• 8:47
  a
• 8:47
  lot
• 8:47
  of
• 8:47
  where
• 8:47
  these
• 8:48
  discussions
• 8:48
  are
• 8:48
  going.
• 8:49
  But
• 8:49
  right
• 8:50
  now
• 8:50
  it's
• 8:51
  inventory
• 8:51
  management,
• 8:52
  kind
• 8:52
  of
• 8:52
  finding
• 8:53
  out
• 8:53
  of
• 8:53
  stocks,
• 8:54
  finding
• 8:55
  poor
• 8:56
  execution
• 8:56
  in
• 8:56
  store.
• 8:57
  That
• 8:57
  tends
• 8:57
  to
• 8:57
  be
• 8:57
  the
• 8:59
  first
• 8:59
  set
• 8:59
  of
• 8:59
  use
• 9:00
  cases
• 9:00
  that
• 9:00
  a
• 9:00
  lot
• 9:01
  of
• 9:01
  retailers
• 9:02
  are
• 9:02
  pursuing
• 9:02
  to
• 9:03
  then
• 9:03
  create
• 9:03
  the
• 9:04
  basis
• 9:04
  that
• 9:04
  this
• 9:04
  supports
• 9:05
  the
• 9:05
  technology
• 9:05
  and
• 9:05
  you
• 9:05
  have
• 9:06
  the
• 9:06
  technologies
• 9:06
  in
• 9:06
  store.
• 9:07
  How
• 9:07
  can
• 9:07
  I
• 9:07
  now
• 9:07
  make
• 9:07
  the
• 9:08
  most
• 9:08
  use
• 9:08
  of
• 9:08
  it?
• 9:08
  Corey,
• 9:09
  what
• 9:09
  about
• 9:09
  asset
• 9:09
  protection?
• 9:10
  Are
• 9:10
  you
• 9:10
  seeing
• 9:10
  anybody
• 9:11
  explore
• 9:11
  that,
• 9:12
  that
• 9:12
  you
• 9:12
  can
• 9:12
  speak
• 9:13
  of
• 9:13
  or
• 9:13
  start
• 9:14
  to
• 9:14
  look
• 9:14
  at?
• 9:14
  Like,
• 9:14
  what
• 9:15
  else
• 9:15
  can
• 9:15
  these
• 9:15
  cameras
• 9:16
  capture
• 9:16
  while
• 9:16
  they're,
• 9:17
  while
• 9:17
  the
• 9:17
  robots
• 9:18
  are
• 9:18
  roaming?
• 9:18
  Cameras
• 9:19
  do
• 9:19
  a
• 9:19
  great
• 9:19
  job.
• 9:19
  Are
• 9:20
  a
• 9:20
  good
• 9:20
  use
• 9:20
  case
• 9:20
  for
• 9:20
  that.
• 9:21
  The
• 9:21
  introduction
• 9:21
  of
• 9:22
  like
• 9:22
  smart
• 9:22
  labels,
• 9:23
  like
• 9:23
  RFID
• 9:24
  labels
• 9:24
  and
• 9:24
  multidimensional
• 9:26
  UPCs,
• 9:27
  really
• 9:27
  our
• 9:27
  barcodes
• 9:28
  really
• 9:28
  unlock
• 9:28
  the
• 9:28
  opportunity
• 9:29
  to
• 9:29
  think
• 9:29
  about
• 9:29
  new
• 9:30
  ways
• 9:30
  of
• 9:31
  seeing
• 9:31
  where
• 9:31
  my
• 9:32
  product
• 9:32
  is
• 9:32
  in
• 9:32
  my
• 9:32
  store
• 9:33
  and
• 9:33
  is
• 9:33
  it
• 9:33
  going
• 9:33
  places
• 9:34
  I
• 9:34
  don't
• 9:34
  want
• 9:34
  it
• 9:34
  to
• 9:34
  go.
• 9:35
  So
• 9:35
  I
• 9:35
  do
• 9:35
  think
• 9:35
  that
• 9:35
  that's
• 9:36
  going
• 9:36
  to
• 9:36
  be.
• 9:36
  I
• 9:37
  don't
• 9:37
  know
• 9:37
  if
• 9:37
  robotics
• 9:38
  themselves
• 9:38
  are
• 9:38
  going
• 9:38
  to
• 9:38
  be
• 9:39
  the
• 9:39
  answer
• 9:39
  to
• 9:39
  that.
• 9:39
  I
• 9:39
  think
• 9:39
  it
• 9:39
  could
• 9:39
  be,
• 9:40
  yeah.
• 9:40
  I
• 9:41
  think
• 9:41
  there's
• 9:41
  a
• 9:41
  lot
• 9:41
  of
• 9:41
  different
• 9:42
  technologies
• 9:42
  that
• 9:42
  are
• 9:43
  trying
• 9:43
  to
• 9:43
  play
• 9:43
  that
• 9:43
  space.
• 9:44
  Certainly
• 9:44
  there's
• 9:44
  a
• 9:44
  challenge
• 9:45
  right
• 9:45
  now
• 9:45
  in
• 9:45
  store
• 9:45
  less
• 9:45
  so
• 9:46
  than
• 9:46
  it
• 9:46
  was.
• 9:46
  It's
• 9:46
  less
• 9:47
  kind
• 9:47
  of
• 9:47
  agenda
• 9:47
  item
• 9:47
  number
• 9:48
  one
• 9:48
  than
• 9:48
  it
• 9:48
  was.
• 9:48
  Yeah,
• 9:49
  but
• 9:50
  it
• 9:50
  still
• 9:50
  is
• 9:50
  for
• 9:51
  sure
• 9:51
  a
• 9:52
  area
• 9:52
  to
• 9:52
  continue
• 9:52
  to
• 9:53
  think
• 9:53
  about.
• 9:53
  Well,
• 9:53
  let's
• 9:54
  get
• 9:54
  you
• 9:54
  out
• 9:54
  of
• 9:54
  here
• 9:54
  on
• 9:54
  this
• 9:55
  question,
• 9:55
  Corey.
• 9:56
  We've
• 9:56
  been
• 9:56
  asking
• 9:57
  a
• 9:57
  lot
• 9:57
  of
• 9:57
  people
• 9:58
  that
• 9:58
  we've
• 9:58
  been
• 9:58
  talking
• 9:59
  to
• 9:59
  here
• 9:59
  at
• 9:59
  FMI
• 10:00
  about
• 10:00
  how
• 10:00
  the
• 10:00
  consumer
• 10:01
  experience
• 10:01
  is
• 10:01
  going
• 10:02
  to
• 10:02
  change
• 10:02
  in
• 10:02
  grocery
• 10:03
  in
• 10:03
  the
• 10:03
  next
• 10:03
  five
• 10:04
  years
• 10:04
  or
• 10:04
  so.
• 10:05
  How
• 10:05
  do
• 10:05
  you
• 10:06
  feel
• 10:07
  operations
• 10:08
  are
• 10:08
  going
• 10:08
  to
• 10:08
  change
• 10:09
  in
• 10:09
  a
• 10:09
  grocery
• 10:09
  store
• 10:10
  in
• 10:10
  the
• 10:10
  next
• 10:10
  five
• 10:10
  years?
• 10:11
  Let's
• 10:11
  talk
• 10:11
  about
• 10:12
  it
• 10:12
  from
• 10:12
  the
• 10:12
  retailer's
• 10:13
  perspective.
• 10:14
  Well,
• 10:14
  and
• 10:15
  I
• 10:15
  kind
• 10:15
  of
• 10:15
  touched
• 10:15
  on
• 10:15
  this
• 10:16
  earlier.
• 10:16
  I
• 10:16
  would
• 10:17
  like
• 10:17
  to.
• 10:17
  I
• 10:17
  think
• 10:17
  we're
• 10:18
  expecting
• 10:18
  to
• 10:18
  see
• 10:18
  a
• 10:18
  lot
• 10:19
  of
• 10:19
  this
• 10:19
  technology
• 10:20
  will
• 10:20
  free
• 10:20
  up
• 10:21
  capacity
• 10:21
  for
• 10:21
  our
• 10:21
  store
• 10:22
  team
• 10:22
  members
• 10:22
  to
• 10:22
  spend
• 10:23
  more
• 10:23
  time
• 10:23
  with
• 10:23
  our
• 10:24
  customers.
• 10:24
  Right.
• 10:24
  We've
• 10:25
  trained
• 10:25
  our
• 10:25
  associates
• 10:26
  and
• 10:26
  our
• 10:26
  team
• 10:26
  members.
• 10:27
  We've
• 10:27
  trained
• 10:27
  our
• 10:27
  customers
• 10:28
  essentially
• 10:28
  limit
• 10:29
  interaction
• 10:29
  in
• 10:29
  some
• 10:29
  ways
• 10:30
  to
• 10:30
  not
• 10:30
  go
• 10:30
  up
• 10:31
  to
• 10:31
  someone
• 10:31
  and
• 10:31
  ask,
• 10:32
  hey,
• 10:32
  where
• 10:32
  do
• 10:32
  I
• 10:32
  find
• 10:33
  X
• 10:33
  product?
• 10:33
  Or
• 10:34
  I'm
• 10:34
  looking
• 10:34
  for
• 10:35
  X,
• 10:35
  Y,
• 10:35
  Z
• 10:36
  type
• 10:36
  thing
• 10:37
  for
• 10:37
  some
• 10:37
  recipe
• 10:37
  I'm
• 10:38
  making.
• 10:38
  I
• 10:38
  think
• 10:38
  you're
• 10:39
  going
• 10:39
  to
• 10:39
  start
• 10:39
  to
• 10:39
  see
• 10:39
  that
• 10:39
  change.
• 10:39
  I
• 10:40
  think
• 10:40
  you're
• 10:40
  going
• 10:40
  to
• 10:40
  start
• 10:40
  to
• 10:41
  see
• 10:41
  those
• 10:41
  interactions
• 10:42
  come
• 10:42
  back
• 10:43
  to
• 10:44
  retail
• 10:44
  both
• 10:45
  as
• 10:45
  you
• 10:45
  free
• 10:45
  up
• 10:46
  capacity
• 10:46
  from
• 10:46
  those
• 10:47
  team
• 10:47
  members,
• 10:47
  but
• 10:47
  also
• 10:47
  as
• 10:47
  you
• 10:48
  provide
• 10:48
  them
• 10:48
  better
• 10:48
  access
• 10:48
  to
• 10:49
  information.
• 10:49
  Right.
• 10:50
  If
• 10:50
  a
• 10:50
  team
• 10:50
  member
• 10:51
  can
• 10:51
  use
• 10:51
  the
• 10:51
  latest
• 10:52
  AI
• 10:52
  to
• 10:52
  answer
• 10:52
  a
• 10:53
  question
• 10:53
  like
• 10:54
  I
• 10:55
  walk
• 10:55
  up
• 10:55
  and
• 10:55
  I
• 10:55
  say,
• 10:56
  what
• 10:56
  is
• 10:56
  a
• 10:56
  good
• 10:56
  tomato
• 10:57
  to
• 10:57
  use
• 10:57
  for
• 10:57
  stewing?
• 10:58
  The
• 10:58
  average
• 10:59
  associate
• 10:59
  in
• 10:59
  store
• 10:59
  would
• 11:00
  have
• 11:00
  no
• 11:00
  idea
• 11:00
  what
• 11:01
  that
• 11:01
  answer
• 11:01
  is.
• 11:02
  For
• 11:02
  many
• 11:02
  retailers
• 11:02
  out
• 11:03
  there,
• 11:03
  technology
• 11:04
  can
• 11:04
  actually
• 11:05
  enable
• 11:05
  that
• 11:05
  and
• 11:06
  can
• 11:06
  help
• 11:07
  them
• 11:07
  answer
• 11:08
  those
• 11:08
  questions
• 11:08
  and
• 11:08
  provide
• 11:09
  better
• 11:09
  service
• 11:09
  to
• 11:10
  our
• 11:10
  customers.
• 11:10
  I
• 11:10
  think
• 11:11
  the
• 11:11
  return
• 11:11
  of
• 11:12
  service
• 11:12
  to
• 11:12
  some
• 11:13
  degree
• 11:13
  to
• 11:13
  the
• 11:13
  store
• 11:14
  and
• 11:14
  how
• 11:14
  we
• 11:14
  unlock
• 11:15
  labor
• 11:15
  from
• 11:15
  our
• 11:16
  stores
• 11:16
  to
• 11:16
  enable
• 11:16
  to
• 11:17
  deliver
• 11:17
  that,
• 11:17
  I
• 11:17
  think
• 11:17
  is
• 11:18
  going
• 11:18
  to
• 11:18
  be
• 11:18
  a
• 11:18
  key
• 11:18
  part
• 11:18
  of
• 11:18
  where
• 11:19
  we
• 11:19
  see
• 11:19
  the
• 11:19
  customer
• 11:19
  experience
• 11:19
  evolve.
• 11:20
  Nice.
• 11:20
  So,
• 11:21
  Corey,
• 11:21
  what
• 11:21
  is
• 11:21
  the
• 11:21
  best
• 11:21
  tomato
• 11:22
  for?
• 11:22
  Do
• 11:22
  not
• 11:22
  ask
• 11:23
  me.
• 11:23
  I'll
• 11:24
  go
• 11:24
  ask
• 11:25
  some
• 11:25
  generative
• 11:25
  AI
• 11:26
  tool.
• 11:26
  The
• 11:26
  same
• 11:26
  way
• 11:26
  that
• 11:27
  I
• 11:27
  would
• 11:27
  like
• 11:27
  to
• 11:27
  see
• 11:27
  associates
• 11:27
  do
• 11:28
  that.
• 11:28
  Oh,
• 11:29
  man.
• 11:29
  You
• 11:30
  did
• 11:30
  make
• 11:30
  me
• 11:30
  think
• 11:30
  about
• 11:30
  one.
• 11:30
  Thing,
• 11:31
  though,
• 11:31
  because
• 11:31
  I
• 11:31
  imagine
• 11:31
  you
• 11:32
  look
• 11:32
  at
• 11:32
  an
• 11:32
  average
• 11:33
  grocery
• 11:33
  P
• 11:33
  and
• 11:33
  L
• 11:33
  more
• 11:34
  than
• 11:34
  I
• 11:34
  do,
• 11:34
  and,
• 11:34
  you
• 11:35
  know,
• 11:35
  one
• 11:35
  of
• 11:35
  the
• 11:35
  questions
• 11:35
  that
• 11:35
  you
• 11:35
  raised
• 11:36
  in
• 11:36
  the
• 11:36
  beginning
• 11:36
  was,
• 11:36
  you
• 11:37
  know,
• 11:37
  there's
• 11:37
  always
• 11:37
  the
• 11:38
  fear.
• 11:38
  You
• 11:38
  know,
• 11:38
  I
• 11:38
  think
• 11:38
  when
• 11:39
  robotics
• 11:39
  are
• 11:39
  at
• 11:39
  play,
• 11:39
  like,
• 11:40
  it's,
• 11:40
  you
• 11:40
  know,
• 11:40
  it's
• 11:40
  going
• 11:40
  to
• 11:40
  take
• 11:41
  customers
• 11:41
  or
• 11:42
  employees
• 11:42
  jobs,
• 11:42
  but
• 11:43
  at
• 11:43
  the
• 11:43
  end
• 11:43
  of
• 11:43
  the
• 11:43
  day,
• 11:43
  like
• 11:43
  in
• 11:43
  a
• 11:43
  grocery
• 11:44
  operation,
• 11:44
  the
• 11:44
  point
• 11:45
  I
• 11:45
  think
• 11:45
  that
• 11:45
  you're
• 11:45
  also
• 11:45
  making,
• 11:46
  that
• 11:46
  I
• 11:46
  was
• 11:46
  talking
• 11:46
  about
• 11:47
  with
• 11:47
  somebody
• 11:47
  yesterday,
• 11:47
  is
• 11:48
  the
• 11:48
  payroll's
• 11:49
  been
• 11:49
  stripped
• 11:49
  out
• 11:49
  of
• 11:49
  most
• 11:50
  of
• 11:50
  these
• 11:50
  operations
• 11:50
  already.
• 11:51
  There's
• 11:51
  not
• 11:51
  much
• 11:51
  more
• 11:51
  you
• 11:52
  can
• 11:52
  cut,
• 11:52
  really.
• 11:52
  Right.
• 11:53
  So
• 11:53
  it
• 11:53
  is
• 11:53
  about
• 11:54
  freeing
• 11:54
  them
• 11:54
  up
• 11:54
  to
• 11:55
  do
• 11:55
  the
• 11:55
  things
• 11:55
  that
• 11:56
  they're
• 11:56
  best
• 11:56
  suited
• 11:57
  to
• 11:57
  do.
• 11:57
  Is
• 11:57
  that
• 11:57
  right?
• 11:58
  We
• 11:58
  are
• 11:58
  still
• 11:58
  in
• 11:59
  a
• 11:59
  world
• 11:59
  right
• 11:59
  now
• 12:00
  in
• 12:00
  grocery
• 12:01
  retail
• 12:01
  where
• 12:01
  labor
• 12:02
  is
• 12:02
  a
• 12:02
  challenge.
• 12:02
  We
• 12:02
  would
• 12:02
  like
• 12:03
  to
• 12:03
  be
• 12:03
  able
• 12:03
  to
• 12:03
  staff
• 12:04
  more
• 12:04
  people
• 12:04
  in
• 12:04
  our
• 12:04
  store.
• 12:04
  We
• 12:04
  just
• 12:05
  can't
• 12:05
  fill
• 12:05
  spots
• 12:05
  or
• 12:06
  fill
• 12:06
  them
• 12:06
  with
• 12:06
  experience
• 12:07
  enough
• 12:07
  people.
• 12:07
  And
• 12:08
  so
• 12:08
  we
• 12:08
  need
• 12:09
  to
• 12:09
  find
• 12:09
  ways
• 12:09
  to
• 12:10
  say
• 12:10
  this
• 12:10
  is
• 12:11
  where
• 12:11
  we
• 12:11
  need
• 12:11
  our
• 12:11
  staff
• 12:12
  to
• 12:12
  spend
• 12:12
  their
• 12:12
  most
• 12:12
  amount
• 12:12
  of
• 12:13
  time
• 12:13
  and
• 12:13
  what
• 12:13
  we
• 12:13
  need
• 12:14
  them
• 12:14
  to
• 12:14
  focus
• 12:14
  on
• 12:15
  and
• 12:16
  use
• 12:16
  technology
• 12:17
  to
• 12:17
  fill
• 12:17
  the
• 12:17
  gaps
• 12:18
  where
• 12:18
  we
• 12:18
  can.
• 12:19
  So
• 12:20
  for
• 12:20
  me,
• 12:21
  in
• 12:21
  my
• 12:21
  opinion,
• 12:21
  has
• 12:21
  nothing
• 12:22
  to
• 12:22
  do
• 12:22
  with
• 12:22
  taking
• 12:23
  labor
• 12:23
  at
• 12:23
  a
• 12:24
  store.
• 12:24
  It's
• 12:24
  more
• 12:24
  about
• 12:25
  we
• 12:25
  are
• 12:25
  labor
• 12:26
  constrained
• 12:26
  and
• 12:26
  how
• 12:27
  do
• 12:27
  we
• 12:27
  allocate
• 12:27
  us
• 12:27
  the
• 12:28
  highest
• 12:28
  value.
• 12:29
  We
• 12:29
  need
• 12:29
  to
• 12:29
  get
• 12:29
  more
• 12:29
  things
• 12:30
  done.
• 12:30
  Exactly.
• 12:30
  Gotta
• 12:30
  figure
• 12:30
  out
• 12:31
  where
• 12:31
  to
• 12:31
  get
• 12:31
  more.
• 12:31
  And
• 12:31
  so
• 12:32
  customer
• 12:32
  interaction,
• 12:33
  doing
• 12:33
  complex
• 12:34
  prep,
• 12:34
  that
• 12:35
  kind
• 12:35
  of
• 12:35
  stuff,
• 12:35
  that
• 12:35
  is
• 12:35
  exactly
• 12:36
  what
• 12:36
  I
• 12:36
  want.
• 12:36
  My
• 12:36
  store
• 12:36
  team
• 12:37
  members
• 12:37
  focused
• 12:37
  on
• 12:38
  walking
• 12:39
  up
• 12:39
  and
• 12:39
  down
• 12:39
  aisles,
• 12:40
  checking
• 12:41
  my
• 12:41
  inventory
• 12:42
  levels.
• 12:43
  Maybe
• 12:43
  that's
• 12:43
  something
• 12:43
  that
• 12:44
  robotics
• 12:44
  can
• 12:44
  take
• 12:44
  off
• 12:44
  their
• 12:45
  plate.
• 12:45
  Right?
• 12:45
  Yeah.
• 12:45
  Awesome.
• 12:46
  Awesome.
• 12:46
  Well,
• 12:46
  Corey,
• 12:47
  thank
• 12:47
  you,
• 12:47
  man.
• 12:47
  That
• 12:47
  was
• 12:47
  a
• 12:48
  great
• 12:48
  conversation.
• 12:48
  Thank
• 12:49
  you.
• 12:49
  Yeah,
• 12:49
  you
• 12:49
  were,
• 12:49
  you
• 12:49
  were
• 12:50
  ready
• 12:50
  to
• 12:50
  go
• 12:50
  here
• 12:50
  bright
• 12:50
  and
• 12:51
  early
• 12:51
  this
• 12:51
  morning.
• 12:51
  Here.
• 12:51
  Had
• 12:52
  a
• 12:52
  lot
• 12:52
  of
• 12:52
  coffee
• 12:52
  walking
• 12:53
  in
• 12:53
  here,
• 12:53
  so
• 12:54
  shaking
• 12:54
  a
• 12:54
  bit
• 12:55
  here.
• 12:56
  Really
• 12:56
  well,
• 12:57
  I
• 12:57
  think
• 12:57
  you
• 12:57
  do
• 12:57
  need
• 12:58
  to
• 12:58
  follow
• 12:58
  up
• 12:58
  on
• 12:58
  what
• 12:58
  the
• 12:58
  best
• 12:59
  tomato
• 12:59
  is
• 12:59
  for
• 12:59
  stewing.
• 13:00
  I'll
• 13:00
  come
• 13:00
  back
• 13:00
  to
• 13:00
  you
• 13:01
  with
• 13:01
  that.
• 13:01
  Our
• 13:01
  listeners
• 13:02
  are
• 13:02
  going
• 13:02
  to
• 13:02
  be
• 13:02
  messaging
• 13:02
  us,
• 13:03
  so
• 13:03
  we'll
• 13:03
  just
• 13:03
  forward
• 13:03
  all
• 13:04
  those
• 13:04
  dms
• 13:04
  right
• 13:05
  to
• 13:05
  you.
• 13:05
  Perfect.
• 13:06
  I'm
• 13:06
  dying
• 13:06
  to
• 13:06
  know.
• 13:07
  All
• 13:07
  right.
• 13:07
  And
• 13:07
  thanks
• 13:07
  to
• 13:08
  Simbi
• 13:08
  for
• 13:08
  sponsoring
• 13:09
  all
• 13:09
  our
• 13:09
  coverage
• 13:09
  here
• 13:09
  today.
• 13:10
  And,
• 13:10
  Anne,
• 13:10
  we'll
• 13:10
  be
• 13:11
  back
• 13:11
  all
• 13:11
  day.
• 13:11
  And
• 13:11
  until
• 13:12
  then,
• 13:12
  be
• 13:13
  careful
• 13:13
  out
• 13:13
  there.