Latest / Omni Talk Retail / Innovation In Practice | How MC Sonae Manages 100+ Tech Experiments Per Year

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Innovation In Practice | How MC Sonae Manages 100+ Tech Experiments Per Year · Omni Talk Retail

• 0:00
  Bonjour,
• 0:01
  everyone,
• 0:01
  and
• 0:01
  hello,
• 0:02
  this
• 0:02
  is
• 0:02
  omnitalk
• 0:03
  Retail.
• 0:03
  I'm
• 0:03
  Chris
• 0:03
  Walton.
• 0:04
  And
• 0:04
  I'm
• 0:04
  Anne
• 0:04
  Mazinga.
• 0:05
  And
• 0:05
  we
• 0:05
  are
• 0:05
  coming
• 0:05
  to
• 0:05
  you
• 0:05
  live
• 0:06
  from
• 0:06
  the
• 0:06
  Fusion
• 0:06
  Group's
• 0:07
  podcast
• 0:07
  studio
• 0:08
  at
• 0:08
  NRF's
• 0:08
  big
• 0:09
  show
• 0:09
  in
• 0:09
  Paris.
• 0:10
  Oui,
• 0:10
  oui,
• 0:10
  Anne.
• 0:11
  And
• 0:11
  we
• 0:12
  are
• 0:12
  pleased
• 0:12
  to
• 0:12
  kick
• 0:12
  off
• 0:13
  our
• 0:13
  coverage
• 0:13
  today
• 0:13
  with
• 0:13
  Rafael
• 0:14
  Perez,
• 0:15
  the
• 0:15
  head
• 0:15
  of
• 0:15
  tech
• 0:15
  experimentation
• 0:16
  at
• 0:16
  MC
• 0:17
  Sonet.
• 0:18
  Rafael,
• 0:19
  welcome
• 0:19
  to
• 0:19
  omnitalk.
• 0:20
  Thank
• 0:20
  you.
• 0:20
  It's
• 0:20
  a
• 0:21
  pleasure
• 0:21
  to
• 0:21
  be
• 0:21
  here.
• 0:22
  Thank
• 0:22
  you
• 0:22
  for
• 0:22
  the
• 0:22
  invite.
• 0:23
  Well,
• 0:23
  Rafael,
• 0:24
  let's
• 0:24
  start
• 0:24
  by
• 0:24
  giving
• 0:24
  our
• 0:25
  audience
• 0:25
  a
• 0:25
  little
• 0:25
  bit
• 0:26
  of
• 0:26
  background
• 0:26
  on
• 0:27
  you
• 0:27
  and
• 0:27
  then
• 0:28
  on
• 0:28
  MC
• 0:28
  Sone,
• 0:28
  if
• 0:29
  you
• 0:29
  don't
• 0:29
  mind,
• 0:29
  just
• 0:29
  for
• 0:30
  those
• 0:30
  listeners
• 0:31
  who
• 0:31
  might
• 0:31
  be
• 0:31
  meeting.
• 0:31
  Sure.
• 0:32
  So
• 0:32
  I'm
• 0:33
  Rafael,
• 0:33
  quite
• 0:33
  passionate
• 0:34
  about
• 0:35
  startups,
• 0:36
  innovation,
• 0:37
  experimentation
• 0:37
  as
• 0:38
  a
• 0:38
  whole,
• 0:39
  and
• 0:39
  my
• 0:39
  role
• 0:40
  at
• 0:40
  MC
• 0:40
  Sanai.
• 0:41
  It's
• 0:41
  all
• 0:41
  about
• 0:41
  experimentation.
• 0:42
  So
• 0:42
  I
• 0:42
  lead
• 0:43
  the
• 0:43
  IT
• 0:43
  Labs
• 0:43
  team
• 0:44
  that
• 0:45
  runs
• 0:45
  the
• 0:45
  technological
• 0:46
  experimentation
• 0:46
  across
• 0:47
  the
• 0:47
  value
• 0:47
  chain
• 0:48
  of
• 0:49
  mc.
• 0:50
  So
• 0:50
  we
• 0:51
  scout
• 0:51
  startups,
• 0:52
  we
• 0:53
  manage
• 0:53
  the
• 0:53
  experimentation
• 0:54
  funnel,
• 0:54
  we
• 0:54
  push
• 0:54
  them
• 0:55
  through
• 0:56
  the
• 0:56
  fence,
• 0:57
  through
• 0:57
  the
• 0:57
  funnel
• 0:57
  so
• 0:57
  we
• 0:58
  can
• 0:58
  explore
• 0:58
  that
• 0:59
  further.
• 1:00
  About
• 1:00
  mc.
• 1:00
  It's
• 1:01
  the
• 1:01
  leading
• 1:01
  retailer
• 1:01
  in
• 1:02
  Portugal.
• 1:03
  We
• 1:03
  have
• 1:03
  food
• 1:03
  retail
• 1:04
  with
• 1:04
  different
• 1:04
  formats,
• 1:05
  supermarkets,
• 1:06
  supermarkets,
• 1:06
  convenience
• 1:07
  stores,
• 1:07
  online
• 1:07
  of
• 1:08
  course,
• 1:09
  as
• 1:09
  well.
• 1:09
  But
• 1:10
  we
• 1:10
  also
• 1:10
  have
• 1:10
  health,
• 1:11
  wellness
• 1:11
  and
• 1:11
  beauty,
• 1:11
  cafeterias,
• 1:12
  pet
• 1:13
  care.
• 1:13
  But
• 1:13
  let's
• 1:14
  keep
• 1:14
  it
• 1:14
  short,
• 1:14
  we
• 1:14
  have
• 1:14
  a
• 1:15
  lot
• 1:15
  of
• 1:15
  things
• 1:15
  going
• 1:15
  on.
• 1:16
  And
• 1:16
  from
• 1:16
  a
• 1:16
  retail
• 1:17
  perspective,
• 1:17
  you
• 1:17
  really
• 1:17
  do
• 1:18
  run
• 1:18
  the
• 1:18
  range,
• 1:18
  right,
• 1:18
  from
• 1:19
  large
• 1:20
  size
• 1:20
  stores
• 1:20
  all
• 1:20
  the
• 1:20
  way
• 1:21
  down
• 1:21
  to
• 1:21
  small
• 1:21
  hypermarkets
• 1:22
  as
• 1:22
  well,
• 1:22
  right?
• 1:23
  Yeah,
• 1:23
  we
• 1:23
  started
• 1:23
  with
• 1:24
  hypermarkets,
• 1:24
  but
• 1:25
  we
• 1:25
  felt
• 1:25
  that
• 1:26
  customers
• 1:27
  needed
• 1:27
  more
• 1:28
  convenience,
• 1:28
  more
• 1:29
  proximity.
• 1:29
  So
• 1:30
  over
• 1:30
  the
• 1:30
  last
• 1:30
  40
• 1:31
  years,
• 1:31
  which
• 1:31
  is
• 1:33
  how
• 1:33
  old
• 1:33
  the
• 1:33
  company
• 1:33
  is,
• 1:34
  we've
• 1:34
  been
• 1:34
  evolving
• 1:34
  through
• 1:35
  the
• 1:35
  formats
• 1:36
  that
• 1:36
  our
• 1:36
  customers
• 1:36
  need.
• 1:37
  So,
• 1:37
  okay,
• 1:38
  so
• 1:38
  going
• 1:38
  back
• 1:38
  to
• 1:38
  your
• 1:39
  job
• 1:39
  then,
• 1:39
  how
• 1:39
  do
• 1:39
  you
• 1:39
  decide
• 1:41
  what
• 1:41
  your
• 1:41
  framework
• 1:42
  is
• 1:42
  for
• 1:42
  which
• 1:43
  emerging
• 1:43
  technologies
• 1:44
  you
• 1:44
  should
• 1:44
  experiment
• 1:45
  and
• 1:45
  which
• 1:45
  ones
• 1:45
  are
• 1:45
  worth
• 1:46
  the
• 1:46
  hype?
• 1:48
  That's
• 1:48
  always
• 1:49
  a
• 1:49
  big
• 1:49
  question.
• 1:49
  Very
• 1:50
  scientific,
• 1:50
  I'm
• 1:50
  sure.
• 1:52
  Yeah,
• 1:52
  it's
• 1:52
  a
• 1:52
  difficult
• 1:53
  one
• 1:53
  because
• 1:54
  it's
• 1:55
  not
• 1:55
  obvious,
• 1:55
  because
• 1:56
  you
• 1:56
  only
• 1:57
  know
• 1:57
  that's
• 1:57
  a
• 1:58
  hype
• 1:58
  when
• 1:58
  the
• 1:58
  hype
• 1:58
  is
• 1:58
  over.
• 1:59
  Right.
• 1:59
  So
• 2:02
  it's
• 2:02
  already
• 2:02
  too
• 2:02
  late.
• 2:03
  But
• 2:03
  we've
• 2:03
  been
• 2:03
  trying
• 2:04
  different
• 2:04
  things
• 2:05
  from
• 2:05
  the
• 2:05
  past
• 2:05
  nine
• 2:06
  years
• 2:06
  that
• 2:06
  we
• 2:07
  created
• 2:07
  these
• 2:07
  experimentation
• 2:08
  team.
• 2:08
  So
• 2:09
  we
• 2:09
  experimented.
• 2:10
  Nine
• 2:10
  years.
• 2:10
  Okay.
• 2:10
  Yeah,
• 2:11
  it's
• 2:12
  been
• 2:12
  nine
• 2:12
  years
• 2:13
  since
• 2:13
  the
• 2:13
  creation
• 2:13
  of
• 2:14
  IT
• 2:14
  Labs.
• 2:15
  We've
• 2:15
  been
• 2:16
  experimenting.
• 2:16
  Really
• 2:17
  complex
• 2:17
  matrix
• 2:18
  where
• 2:18
  you
• 2:18
  look
• 2:18
  into,
• 2:19
  is
• 2:19
  it
• 2:19
  a
• 2:19
  tech
• 2:19
  push,
• 2:20
  is
• 2:20
  it
• 2:21
  business
• 2:21
  pull?
• 2:24
  What's
• 2:24
  the
• 2:24
  potential
• 2:25
  impact,
• 2:26
  what's
• 2:26
  the
• 2:26
  effort,
• 2:27
  what
• 2:27
  resources
• 2:28
  do
• 2:28
  you
• 2:29
  need?
• 2:29
  We
• 2:29
  measure
• 2:30
  that
• 2:30
  up
• 2:30
  or
• 2:31
  up
• 2:31
  to
• 2:31
  simple
• 2:32
  criteria
• 2:33
  like
• 2:33
  just
• 2:33
  effort,
• 2:34
  impact.
• 2:34
  But
• 2:34
  in
• 2:34
  the
• 2:35
  end,
• 2:35
  to
• 2:35
  be
• 2:35
  honest,
• 2:36
  it's
• 2:36
  been
• 2:36
  Gut
• 2:36
  feeling.
• 2:37
  It
• 2:37
  is.
• 2:37
  Yeah.
• 2:38
  But
• 2:39
  this
• 2:39
  gut
• 2:39
  feeling
• 2:39
  doesn't
• 2:40
  come
• 2:40
  out
• 2:40
  in
• 2:41
  a
• 2:41
  vacuum
• 2:41
  because
• 2:41
  it's
• 2:42
  connected
• 2:42
  with
• 2:42
  the
• 2:43
  market
• 2:43
  research
• 2:43
  we
• 2:44
  do,
• 2:44
  the
• 2:44
  customer
• 2:45
  behavior
• 2:45
  that
• 2:45
  we
• 2:46
  are
• 2:46
  following,
• 2:47
  our
• 2:48
  interaction
• 2:48
  with
• 2:48
  the
• 2:48
  business
• 2:49
  units.
• 2:49
  But
• 2:50
  having
• 2:50
  all
• 2:50
  this
• 2:51
  in
• 2:51
  mind,
• 2:51
  in
• 2:51
  the
• 2:52
  end,
• 2:52
  it
• 2:53
  just
• 2:53
  gets
• 2:54
  filling.
• 2:54
  But
• 2:55
  however,
• 2:56
  even
• 2:56
  if
• 2:56
  we
• 2:56
  bet
• 2:56
  on
• 2:56
  hype,
• 2:57
  that's
• 2:57
  fine,
• 2:58
  because
• 2:58
  in
• 2:58
  the
• 2:58
  end
• 2:59
  we
• 2:59
  learned,
• 2:59
  let's
• 2:59
  say,
• 3:00
  the
• 3:00
  metaverse.
• 3:00
  It's
• 3:01
  something
• 3:01
  we
• 3:01
  explored
• 3:02
  for
• 3:02
  sure,
• 3:02
  but
• 3:03
  in
• 3:03
  the
• 3:03
  end
• 3:03
  we
• 3:03
  learned
• 3:04
  about
• 3:04
  it.
• 3:05
  It's
• 3:05
  fine.
• 3:06
  It
• 3:06
  was
• 3:06
  a
• 3:06
  lesson
• 3:07
  for
• 3:07
  us.
• 3:07
  And
• 3:07
  fortunately,
• 3:08
  the
• 3:08
  company
• 3:08
  allows
• 3:09
  a
• 3:09
  culture
• 3:09
  where
• 3:10
  you
• 3:10
  can
• 3:10
  try
• 3:10
  experiment,
• 3:11
  and
• 3:11
  in
• 3:12
  the
• 3:12
  end,
• 3:12
  if
• 3:12
  it's
• 3:12
  not
• 3:13
  worth
• 3:13
  it,
• 3:13
  at
• 3:13
  least
• 3:13
  we
• 3:13
  know
• 3:14
  what
• 3:14
  it
• 3:14
  is,
• 3:14
  what
• 3:14
  it
• 3:14
  takes,
• 3:15
  and
• 3:16
  we
• 3:16
  move
• 3:16
  on.
• 3:16
  So
• 3:17
  that's
• 3:17
  interesting
• 3:17
  approach.
• 3:18
  So
• 3:18
  then
• 3:19
  can
• 3:19
  I
• 3:19
  assume
• 3:20
  then
• 3:20
  that
• 3:20
  you
• 3:20
  guys
• 3:20
  are
• 3:20
  pretty
• 3:21
  aggressive
• 3:22
  in
• 3:22
  terms
• 3:22
  of
• 3:22
  what
• 3:23
  you
• 3:23
  decide
• 3:23
  to
• 3:23
  cut
• 3:23
  back
• 3:24
  on
• 3:24
  to?
• 3:24
  Like,
• 3:26
  do
• 3:26
  you
• 3:26
  take
• 3:26
  a
• 3:26
  close
• 3:27
  look
• 3:27
  at,
• 3:27
  okay,
• 3:27
  is
• 3:28
  it
• 3:28
  working?
• 3:28
  Is
• 3:28
  it
• 3:28
  not?
• 3:28
  And
• 3:29
  try
• 3:29
  to
• 3:29
  get
• 3:29
  out
• 3:29
  of
• 3:29
  it
• 3:29
  if
• 3:30
  you
• 3:30
  feel
• 3:30
  like
• 3:30
  it's
• 3:30
  not
• 3:30
  working
• 3:30
  very
• 3:31
  quickly.
• 3:31
  Is
• 3:31
  that
• 3:31
  part
• 3:31
  of
• 3:31
  the
• 3:32
  process
• 3:32
  too?
• 3:33
  Yeah,
• 3:33
  we
• 3:34
  have
• 3:34
  a
• 3:34
  very
• 3:34
  pragmatic
• 3:34
  approach.
• 3:35
  So
• 3:36
  first
• 3:36
  of
• 3:36
  all,
• 3:36
  we
• 3:37
  start
• 3:37
  with
• 3:38
  a
• 3:38
  technical
• 3:39
  perspective.
• 3:41
  Does
• 3:41
  it
• 3:41
  work?
• 3:42
  Does
• 3:42
  the
• 3:42
  hypothesis
• 3:43
  that
• 3:43
  we
• 3:43
  are
• 3:43
  considering
• 3:44
  make
• 3:44
  sense?
• 3:46
  If
• 3:46
  we
• 3:46
  reach
• 3:47
  to
• 3:47
  good
• 3:47
  results,
• 3:47
  then
• 3:49
  we
• 3:49
  move
• 3:49
  on
• 3:50
  to
• 3:50
  the
• 3:50
  next
• 3:50
  stage.
• 3:50
  If
• 3:51
  it
• 3:51
  doesn't,
• 3:52
  we
• 3:52
  pick
• 3:52
  a
• 3:52
  different
• 3:52
  technology.
• 3:53
  Our
• 3:53
  pipeline
• 3:54
  has
• 3:54
  more
• 3:54
  than
• 3:54
  100
• 3:55
  initiatives
• 3:56
  a
• 3:56
  year.
• 3:57
  We
• 3:57
  push
• 3:58
  more
• 3:58
  than
• 3:58
  half
• 3:59
  to
• 3:59
  deeper
• 3:59
  exploration,
• 4:00
  and
• 4:00
  then
• 4:01
  we
• 4:01
  end
• 4:01
  up
• 4:01
  executing
• 4:02
  a
• 4:02
  third
• 4:03
  of
• 4:03
  it.
• 4:03
  So
• 4:04
  there's
• 4:04
  a
• 4:04
  funnel
• 4:04
  that
• 4:04
  we
• 4:05
  push.
• 4:05
  There
• 4:05
  are
• 4:05
  a
• 4:06
  lot
• 4:06
  of
• 4:06
  options.
• 4:06
  So
• 4:07
  we,
• 4:07
  we
• 4:07
  follow
• 4:08
  what
• 4:08
  seems
• 4:08
  more
• 4:08
  promising.
• 4:09
  Got
• 4:09
  it.
• 4:09
  How
• 4:10
  do
• 4:10
  you
• 4:10
  then,
• 4:10
  Rafael,
• 4:11
  balance
• 4:12
  kind
• 4:12
  of
• 4:12
  some
• 4:13
  of
• 4:13
  these
• 4:13
  breakthrough
• 4:14
  technologies,
• 4:14
  like
• 4:14
  AI
• 4:15
  is
• 4:15
  one
• 4:15
  that
• 4:15
  comes
• 4:16
  to
• 4:16
  mind,
• 4:16
  you
• 4:16
  know,
• 4:17
  generative
• 4:17
  AI
• 4:18
  and
• 4:18
  search
• 4:18
  and
• 4:19
  all
• 4:19
  these
• 4:19
  components
• 4:20
  of
• 4:20
  AI
• 4:20
  right
• 4:20
  now
• 4:20
  that
• 4:21
  are
• 4:21
  really
• 4:21
  breakthrough
• 4:22
  technologies
• 4:23
  with
• 4:24
  some
• 4:24
  of
• 4:24
  those
• 4:25
  more
• 4:25
  incremental
• 4:26
  technologies
• 4:27
  that
• 4:27
  might
• 4:28
  take
• 4:28
  a
• 4:28
  little
• 4:28
  bit
• 4:28
  longer
• 4:29
  or
• 4:30
  require
• 4:30
  more
• 4:31
  experimentation.
• 4:32
  How
• 4:32
  do
• 4:32
  you
• 4:32
  kind
• 4:32
  of
• 4:32
  balance
• 4:33
  that
• 4:33
  in
• 4:33
  everything
• 4:34
  that
• 4:34
  you
• 4:34
  oversee?
• 4:35
  Yeah,
• 4:35
  another
• 4:35
  one
• 4:35
  that
• 4:36
  it's
• 4:36
  not
• 4:36
  linear.
• 4:37
  Right?
• 4:38
  But
• 4:38
  yeah,
• 4:39
  again,
• 4:39
  fortunately,
• 4:40
  the
• 4:40
  company
• 4:40
  has
• 4:41
  an
• 4:41
  organization,
• 4:42
  a
• 4:42
  structure
• 4:43
  that
• 4:43
  allows
• 4:43
  that
• 4:43
  to
• 4:44
  more
• 4:44
  or
• 4:44
  less
• 4:44
  happen
• 4:44
  naturally.
• 4:46
  For
• 4:46
  example,
• 4:46
  within
• 4:46
  IT
• 4:47
  labs,
• 4:47
  we
• 4:47
  do
• 4:47
  a
• 4:47
  bit
• 4:47
  of
• 4:48
  both.
• 4:48
  There
• 4:48
  are
• 4:48
  things
• 4:48
  that
• 4:49
  are
• 4:49
  breakthroughs
• 4:49
  that
• 4:50
  we
• 4:50
  have
• 4:50
  no
• 4:51
  idea
• 4:51
  even
• 4:51
  if
• 4:51
  it
• 4:51
  makes
• 4:52
  sense
• 4:52
  for
• 4:52
  retail.
• 4:53
  The
• 4:53
  metaverse
• 4:53
  example
• 4:54
  I
• 4:54
  just
• 4:54
  mentioned,
• 4:54
  we
• 4:54
  were
• 4:55
  exploring
• 4:55
  it
• 4:55
  on
• 4:56
  the
• 4:56
  technology
• 4:57
  point
• 4:57
  of
• 4:57
  view
• 4:57
  and
• 4:58
  what
• 4:58
  angle
• 4:59
  can
• 4:59
  we
• 4:59
  see
• 4:59
  for.
• 5:01
  For
• 5:01
  retail?
• 5:03
  So
• 5:03
  we
• 5:04
  look
• 5:04
  into
• 5:05
  that,
• 5:05
  but
• 5:05
  we
• 5:05
  also
• 5:06
  look
• 5:06
  into
• 5:06
  technologies
• 5:07
  that
• 5:07
  adds
• 5:08
  up
• 5:08
  something
• 5:08
  to
• 5:09
  a
• 5:09
  current
• 5:09
  business
• 5:10
  that
• 5:10
  we
• 5:10
  already
• 5:11
  have.
• 5:11
  We
• 5:11
  do
• 5:11
  that
• 5:11
  within
• 5:12
  the
• 5:12
  IT
• 5:12
  labs.
• 5:12
  But
• 5:13
  we
• 5:13
  have
• 5:13
  other
• 5:13
  teams
• 5:13
  that
• 5:14
  also
• 5:14
  contribute
• 5:14
  to
• 5:14
  that.
• 5:15
  So
• 5:15
  innovation,
• 5:16
  it's
• 5:16
  not
• 5:16
  just
• 5:16
  the
• 5:16
  responsibility
• 5:17
  of
• 5:17
  one
• 5:17
  team,
• 5:17
  it's
• 5:18
  a
• 5:18
  company
• 5:19
  wide
• 5:19
  responsibility.
• 5:20
  So
• 5:20
  we
• 5:20
  have
• 5:20
  our
• 5:21
  delivery
• 5:22
  teams
• 5:22
  that
• 5:22
  engage
• 5:22
  on
• 5:23
  a
• 5:23
  regular
• 5:23
  basis
• 5:23
  with
• 5:23
  the
• 5:23
  business
• 5:24
  and
• 5:24
  they
• 5:24
  do
• 5:25
  new
• 5:25
  solutions
• 5:26
  as
• 5:26
  per
• 5:26
  the
• 5:26
  business
• 5:27
  request.
• 5:27
  They
• 5:28
  improve
• 5:28
  the
• 5:28
  current
• 5:29
  solutions
• 5:29
  that
• 5:29
  we
• 5:29
  already
• 5:30
  have.
• 5:30
  So
• 5:30
  that's
• 5:31
  another
• 5:31
  channel.
• 5:32
  And
• 5:32
  we
• 5:32
  also
• 5:32
  have
• 5:33
  a
• 5:33
  dedicated
• 5:33
  innovation
• 5:34
  team
• 5:34
  that
• 5:36
  follows
• 5:36
  and
• 5:37
  supported
• 5:37
  by
• 5:37
  granted
• 5:38
  projects.
• 5:38
  For
• 5:38
  example,
• 5:39
  they
• 5:39
  can
• 5:39
  push
• 5:40
  through
• 5:40
  those
• 5:40
  more
• 5:41
  breakthroughs
• 5:41
  that
• 5:42
  typically
• 5:42
  require
• 5:43
  more
• 5:43
  financial
• 5:43
  investment,
• 5:44
  more
• 5:44
  resources.
• 5:45
  So
• 5:45
  we
• 5:45
  also
• 5:45
  use
• 5:46
  that
• 5:46
  as
• 5:47
  a
• 5:47
  tool
• 5:48
  to
• 5:48
  leverage
• 5:48
  more
• 5:49
  breakthroughs
• 5:49
  that
• 5:50
  typically
• 5:50
  requires
• 5:51
  more
• 5:51
  effort.
• 5:52
  Got
• 5:52
  it,
• 5:52
  got
• 5:52
  it.
• 5:52
  So
• 5:53
  the
• 5:53
  question
• 5:53
  of
• 5:53
  ROI
• 5:54
  always
• 5:54
  comes
• 5:54
  up
• 5:54
  in
• 5:54
  these
• 5:54
  discussions,
• 5:55
  you
• 5:55
  know,
• 5:55
  so,
• 5:56
  so
• 5:57
  how
• 5:58
  do
• 5:58
  you
• 5:58
  guys
• 5:58
  think
• 5:58
  about
• 5:59
  that
• 6:01
  as
• 6:01
  a
• 6:02
  discipline,
• 6:02
  so
• 6:02
  to
• 6:02
  speak,
• 6:03
  in
• 6:03
  what
• 6:03
  you're
• 6:03
  doing?
• 6:04
  Where
• 6:04
  does
• 6:05
  it
• 6:05
  come
• 6:05
  in?
• 6:05
  Does
• 6:05
  it
• 6:05
  come
• 6:06
  in
• 6:06
  at
• 6:06
  a
• 6:06
  certain
• 6:06
  process?
• 6:06
  Does
• 6:07
  it
• 6:07
  come
• 6:07
  in
• 6:07
  early,
• 6:07
  does
• 6:07
  it
• 6:08
  come
• 6:08
  in
• 6:08
  later?
• 6:08
  Does
• 6:09
  it
• 6:09
  come
• 6:09
  in
• 6:09
  at
• 6:09
  all?
• 6:09
  How
• 6:10
  do
• 6:10
  you
• 6:10
  think
• 6:10
  about
• 6:10
  it?
• 6:10
  Yeah,
• 6:11
  again,
• 6:11
  it
• 6:11
  depends.
• 6:12
  A
• 6:12
  lot
• 6:12
  depends.
• 6:12
  Right?
• 6:13
  It's
• 6:13
  again
• 6:14
  a
• 6:14
  hard
• 6:14
  question
• 6:15
  because
• 6:15
  as
• 6:15
  I
• 6:16
  was
• 6:16
  saying
• 6:16
  before,
• 6:16
  within
• 6:16
  IT
• 6:17
  labs,
• 6:17
  we
• 6:17
  always
• 6:18
  look
• 6:18
  at
• 6:18
  things
• 6:18
  in
• 6:19
  two
• 6:19
  perspectives.
• 6:19
  We
• 6:20
  start
• 6:20
  with
• 6:20
  a
• 6:20
  technology
• 6:21
  perspective
• 6:21
  first.
• 6:22
  So
• 6:22
  we
• 6:23
  set
• 6:23
  a
• 6:23
  specific
• 6:23
  hypothesis
• 6:24
  for
• 6:24
  a
• 6:24
  specific
• 6:25
  technology
• 6:26
  and
• 6:26
  we
• 6:26
  run
• 6:26
  what
• 6:27
  we
• 6:27
  need
• 6:27
  to
• 6:27
  run
• 6:28
  to
• 6:28
  validate
• 6:28
  that
• 6:29
  technology.
• 6:29
  If
• 6:30
  things
• 6:30
  go
• 6:30
  well,
• 6:31
  we
• 6:31
  already
• 6:31
  have
• 6:31
  a
• 6:32
  success
• 6:32
  for
• 6:32
  us.
• 6:32
  So
• 6:33
  we
• 6:33
  already
• 6:33
  proved
• 6:33
  that
• 6:34
  that
• 6:34
  technology
• 6:34
  can
• 6:35
  take
• 6:35
  us
• 6:35
  somewhere,
• 6:36
  depending
• 6:37
  on
• 6:37
  what
• 6:37
  we
• 6:37
  are
• 6:37
  talking
• 6:38
  about,
• 6:38
  of
• 6:38
  course,
• 6:39
  and
• 6:39
  then
• 6:39
  we
• 6:39
  share
• 6:40
  the
• 6:40
  results,
• 6:40
  Then
• 6:41
  the
• 6:41
  business
• 6:41
  perspective
• 6:42
  comes
• 6:42
  in.
• 6:43
  And
• 6:43
  on
• 6:44
  the
• 6:44
  business
• 6:44
  perspective,
• 6:45
  it's
• 6:46
  a
• 6:46
  little
• 6:46
  bit
• 6:46
  harder
• 6:46
  and
• 6:46
  many
• 6:47
  things
• 6:47
  can
• 6:47
  happen.
• 6:48
  Sometimes
• 6:48
  it's
• 6:48
  a
• 6:48
  timing
• 6:49
  thing,
• 6:49
  so
• 6:50
  technology
• 6:50
  makes
• 6:51
  sense,
• 6:51
  but
• 6:51
  it's
• 6:51
  not
• 6:51
  the
• 6:52
  right
• 6:52
  time
• 6:52
  for
• 6:52
  us.
• 6:52
  We
• 6:52
  have
• 6:52
  other
• 6:53
  priorities
• 6:54
  and
• 6:54
  if
• 6:54
  we
• 6:54
  do
• 6:54
  not
• 6:55
  have
• 6:55
  the
• 6:55
  commitments
• 6:55
  on
• 6:55
  the
• 6:55
  business
• 6:56
  side,
• 6:57
  it's
• 6:57
  not
• 6:57
  worth
• 6:58
  doing
• 6:58
  it
• 6:58
  right
• 6:58
  away.
• 6:59
  So
• 6:59
  it
• 6:59
  holds
• 7:00
  for
• 7:00
  some
• 7:00
  time.
• 7:01
  It
• 7:02
  can
• 7:02
  evolve
• 7:02
  to
• 7:03
  a
• 7:03
  broader
• 7:03
  pilot,
• 7:04
  for
• 7:04
  example,
• 7:04
  where
• 7:05
  we
• 7:05
  bring
• 7:06
  more
• 7:06
  data
• 7:06
  in,
• 7:07
  we
• 7:07
  generate
• 7:07
  more
• 7:08
  resources
• 7:09
  and
• 7:09
  we
• 7:09
  have
• 7:09
  better
• 7:09
  data
• 7:10
  to
• 7:10
  do
• 7:11
  a
• 7:11
  business
• 7:11
  case,
• 7:12
  for
• 7:12
  example,
• 7:12
  where
• 7:12
  we
• 7:13
  better
• 7:13
  analyze
• 7:14
  the
• 7:14
  potential
• 7:14
  at
• 7:15
  the
• 7:15
  potential
• 7:15
  roi.
• 7:16
  Or
• 7:16
  in
• 7:16
  some
• 7:16
  cases
• 7:17
  we
• 7:17
  launch
• 7:17
  a
• 7:17
  procurement
• 7:18
  process
• 7:18
  because
• 7:19
  we
• 7:19
  try
• 7:19
  the
• 7:20
  technology.
• 7:20
  The
• 7:20
  partner
• 7:21
  we
• 7:21
  tried
• 7:21
  might
• 7:21
  not
• 7:21
  be
• 7:22
  the
• 7:22
  best
• 7:22
  partner.
• 7:22
  So
• 7:23
  we
• 7:24
  also
• 7:24
  might
• 7:25
  run
• 7:25
  that
• 7:25
  procurement
• 7:26
  process
• 7:26
  to
• 7:26
  see
• 7:27
  from
• 7:27
  that
• 7:28
  approach
• 7:28
  what
• 7:28
  other
• 7:29
  options
• 7:29
  we
• 7:29
  have
• 7:29
  so
• 7:30
  we
• 7:30
  do
• 7:30
  a
• 7:30
  better
• 7:31
  analysis.
• 7:31
  So
• 7:31
  once
• 7:32
  again,
• 7:32
  it's
• 7:32
  definitely
• 7:33
  not
• 7:33
  linear.
• 7:33
  It
• 7:34
  depends
• 7:34
  a
• 7:34
  lot
• 7:34
  on
• 7:34
  the
• 7:35
  complexity,
• 7:35
  the
• 7:35
  use
• 7:36
  case,
• 7:36
  the
• 7:36
  timing.
• 7:38
  So
• 7:38
  net,
• 7:39
  net.
• 7:39
  It's
• 7:39
  part
• 7:39
  of
• 7:39
  the
• 7:40
  process
• 7:40
  always.
• 7:40
  It's
• 7:41
  just
• 7:41
  deciding
• 7:41
  when.
• 7:42
  When
• 7:42
  is
• 7:42
  the
• 7:42
  right
• 7:42
  time
• 7:43
  to
• 7:43
  bring
• 7:43
  it
• 7:43
  into
• 7:43
  the
• 7:44
  discussion.
• 7:44
  Yeah,
• 7:45
  definitely.
• 7:45
  Otherwise,
• 7:46
  unless
• 7:46
  I've
• 7:47
  heard
• 7:47
  that
• 7:47
  ever
• 7:47
  explained.
• 7:47
  Actually
• 7:48
  the
• 7:48
  business
• 7:48
  will
• 7:48
  be
• 7:49
  losing
• 7:49
  time
• 7:49
  and
• 7:49
  our
• 7:49
  partners
• 7:50
  will
• 7:50
  be
• 7:50
  losing
• 7:50
  time.
• 7:51
  Something
• 7:51
  I
• 7:51
  value
• 7:52
  a
• 7:52
  lot.
• 7:52
  It's
• 7:52
  a
• 7:53
  startup
• 7:53
  time
• 7:53
  because
• 7:55
  their
• 7:55
  currency.
• 7:56
  It's
• 7:56
  time
• 7:56
  because
• 7:56
  they
• 7:56
  have
• 7:57
  a
• 7:57
  limited.
• 7:59
  Right.
• 7:59
  When
• 7:59
  you're
• 7:59
  working
• 7:59
  with
• 7:59
  startups,
• 8:00
  100%
• 8:00
  they.
• 8:00
  Have
• 8:01
  a
• 8:01
  limited
• 8:01
  number
• 8:01
  of
• 8:01
  PoCs
• 8:02
  they
• 8:02
  can
• 8:02
  do
• 8:02
  with
• 8:02
  companies.
• 8:03
  So
• 8:03
  I
• 8:03
  also
• 8:03
  take
• 8:04
  that
• 8:04
  in
• 8:04
  consideration.
• 8:04
  If
• 8:05
  I
• 8:05
  know
• 8:05
  that
• 8:05
  it's
• 8:06
  not
• 8:06
  going
• 8:06
  to
• 8:06
  be
• 8:06
  moving
• 8:06
  forward
• 8:07
  in
• 8:07
  the
• 8:07
  short
• 8:08
  term,
• 8:08
  I'm
• 8:08
  the
• 8:08
  first
• 8:08
  one
• 8:08
  telling
• 8:09
  them
• 8:09
  just
• 8:09
  hold,
• 8:10
  prioritize
• 8:10
  other
• 8:11
  retailers
• 8:11
  and
• 8:11
  then
• 8:12
  we
• 8:12
  speak
• 8:12
  afterwards.
• 8:13
  My
• 8:14
  background
• 8:14
  with
• 8:14
  startups
• 8:15
  provides
• 8:15
  me
• 8:16
  that
• 8:17
  position
• 8:18
  of
• 8:18
  knowing
• 8:19
  how
• 8:19
  to
• 8:19
  be
• 8:19
  in
• 8:19
  the
• 8:20
  startup
• 8:20
  shoes
• 8:20
  so
• 8:20
  we
• 8:20
  can
• 8:21
  have
• 8:21
  a
• 8:21
  better
• 8:21
  balance
• 8:21
  and
• 8:22
  a
• 8:22
  good
• 8:22
  win
• 8:22
  win
• 8:23
  conversation
• 8:23
  among
• 8:23
  us
• 8:24
  and
• 8:24
  other
• 8:24
  partners.
• 8:24
  That's
• 8:25
  a
• 8:25
  big
• 8:25
  nugget.
• 8:25
  Well
• 8:26
  Rafael,
• 8:26
  I'm
• 8:27
  curious
• 8:27
  because
• 8:28
  you
• 8:28
  are
• 8:28
  evaluating
• 8:29
  so
• 8:29
  many
• 8:29
  technologies,
• 8:32
  what
• 8:32
  are
• 8:32
  you
• 8:32
  most
• 8:32
  excited
• 8:33
  about
• 8:33
  experimenting
• 8:34
  with
• 8:34
  right
• 8:34
  now?
• 8:34
  Or
• 8:35
  what
• 8:35
  do
• 8:35
  you
• 8:35
  feel
• 8:36
  like
• 8:36
  you
• 8:36
  have
• 8:37
  prioritized
• 8:37
  on
• 8:38
  your
• 8:38
  team
• 8:38
  at
• 8:38
  the
• 8:38
  moment?
• 8:39
  Yeah.
• 8:39
  I
• 8:40
  believe
• 8:40
  the
• 8:40
  expected
• 8:40
  answer
• 8:41
  is
• 8:41
  of
• 8:41
  course
• 8:42
  the
• 8:42
  implementation
• 8:43
  of
• 8:43
  AI
• 8:43
  across
• 8:43
  the
• 8:44
  value
• 8:44
  chain.
• 8:44
  Right.
• 8:44
  But
• 8:44
  I'll
• 8:45
  try
• 8:45
  to
• 8:45
  move
• 8:45
  away
• 8:46
  from
• 8:46
  that
• 8:46
  obvious
• 8:48
  answer.
• 8:48
  Good.
• 8:48
  Because
• 8:49
  we
• 8:49
  would
• 8:49
  have
• 8:49
  said
• 8:49
  what
• 8:49
  specifically
• 8:50
  too.
• 8:50
  Yeah,
• 8:51
  I'm
• 8:51
  trying
• 8:52
  to
• 8:52
  move
• 8:52
  away
• 8:52
  from
• 8:52
  that.
• 8:52
  So
• 8:53
  we
• 8:53
  are
• 8:54
  actually
• 8:54
  running
• 8:55
  a
• 8:55
  pilot
• 8:55
  right
• 8:55
  now
• 8:56
  of
• 8:57
  in
• 8:57
  store
• 8:57
  analytics.
• 8:58
  It's
• 8:59
  a
• 8:59
  technology,
• 8:59
  the
• 9:00
  use
• 9:00
  case,
• 9:00
  it's
• 9:00
  not
• 9:00
  new.
• 9:01
  It's
• 9:01
  being
• 9:01
  able
• 9:01
  to
• 9:02
  have
• 9:02
  in
• 9:02
  store
• 9:02
  analytics
• 9:03
  just
• 9:03
  like
• 9:03
  you
• 9:03
  have
• 9:03
  for
• 9:03
  any
• 9:04
  commerce
• 9:04
  website.
• 9:04
  Sure.
• 9:05
  Number
• 9:05
  of
• 9:06
  visitors,
• 9:06
  the
• 9:06
  journey,
• 9:07
  heatmaps,
• 9:08
  all
• 9:09
  of
• 9:09
  that.
• 9:09
  So
• 9:09
  how
• 9:09
  can
• 9:09
  we
• 9:10
  get
• 9:10
  that?
• 9:10
  So
• 9:10
  as
• 9:11
  I
• 9:11
  was
• 9:11
  saying,
• 9:11
  use
• 9:12
  case,
• 9:12
  it's
• 9:12
  not
• 9:12
  new,
• 9:12
  but
• 9:13
  the
• 9:13
  approach
• 9:13
  is,
• 9:13
  it's
• 9:13
  a
• 9:14
  really
• 9:14
  light
• 9:14
  approach,
• 9:15
  securing
• 9:16
  data
• 9:16
  and
• 9:16
  privacy
• 9:17
  from
• 9:17
  customers.
• 9:18
  Oh
• 9:18
  wow.
• 9:18
  We
• 9:19
  just
• 9:19
  deployed
• 9:19
  it
• 9:19
  in
• 9:19
  one
• 9:20
  of
• 9:20
  our
• 9:20
  stores.
• 9:20
  We
• 9:21
  are
• 9:21
  now
• 9:21
  running
• 9:21
  them,
• 9:23
  letting
• 9:23
  it
• 9:23
  run
• 9:23
  so
• 9:24
  we
• 9:24
  can
• 9:24
  analyze
• 9:24
  the
• 9:24
  data
• 9:25
  and
• 9:26
  the
• 9:26
  possibilities
• 9:27
  of
• 9:27
  what
• 9:27
  we
• 9:27
  can
• 9:27
  do
• 9:27
  with
• 9:28
  that
• 9:28
  data.
• 9:28
  It's
• 9:28
  tremendous
• 9:29
  on
• 9:29
  layouts,
• 9:30
  on
• 9:30
  marketing,
• 9:31
  on
• 9:31
  hyper
• 9:31
  personalization
• 9:32
  and
• 9:32
  everything.
• 9:32
  So
• 9:33
  it's
• 9:33
  something
• 9:33
  that
• 9:34
  really
• 9:34
  excites
• 9:34
  me
• 9:35
  about
• 9:35
  if
• 9:35
  the
• 9:35
  technology
• 9:35
  works.
• 9:36
  So
• 9:36
  we
• 9:36
  are
• 9:37
  still
• 9:37
  on
• 9:37
  the
• 9:37
  technology
• 9:37
  side,
• 9:38
  testing.
• 9:38
  So
• 9:38
  what
• 9:38
  kinds
• 9:39
  of
• 9:39
  things
• 9:39
  are
• 9:39
  you
• 9:39
  tracking
• 9:40
  then?
• 9:41
  We
• 9:41
  are
• 9:41
  well
• 9:42
  going
• 9:42
  deeper
• 9:42
  on
• 9:42
  the
• 9:43
  technology.
• 9:43
  We
• 9:43
  are
• 9:43
  tracking
• 9:45
  the
• 9:45
  sensors
• 9:46
  of
• 9:46
  the
• 9:46
  phone,
• 9:46
  even
• 9:46
  if
• 9:47
  the
• 9:47
  phone
• 9:47
  is
• 9:47
  on
• 9:48
  flight
• 9:48
  mode
• 9:48
  because
• 9:49
  the
• 9:49
  sensors
• 9:50
  are
• 9:50
  always
• 9:50
  emitting.
• 9:50
  So
• 9:52
  we
• 9:52
  have
• 9:52
  some
• 9:53
  hardware
• 9:54
  on
• 9:54
  the
• 9:54
  store
• 9:54
  that
• 9:54
  captures
• 9:55
  that,
• 9:55
  that
• 9:55
  pinpoints
• 9:56
  that
• 9:56
  and
• 9:57
  can
• 9:59
  track
• 9:59
  any
• 9:59
  device
• 10:00
  that
• 10:00
  gets
• 10:00
  in
• 10:00
  store.
• 10:01
  Then
• 10:01
  we
• 10:01
  map
• 10:02
  the
• 10:02
  areas,
• 10:02
  we
• 10:02
  cross
• 10:02
  the
• 10:03
  location
• 10:03
  and
• 10:03
  then
• 10:03
  we
• 10:04
  generate
• 10:04
  the.
• 10:04
  Insights,
• 10:05
  try
• 10:05
  to
• 10:05
  get
• 10:05
  the
• 10:05
  X,
• 10:05
  Y
• 10:06
  and
• 10:06
  Z's.
• 10:06
  Yeah,
• 10:07
  right.
• 10:07
  Exactly.
• 10:07
  Exactly.
• 10:08
  Then
• 10:08
  if
• 10:08
  you
• 10:08
  move
• 10:09
  even
• 10:09
  to
• 10:09
  A
• 10:10
  step
• 10:10
  further,
• 10:11
  you
• 10:11
  can
• 10:11
  even
• 10:11
  include
• 10:12
  an
• 10:12
  opt
• 10:12
  in
• 10:13
  option
• 10:13
  on
• 10:13
  your
• 10:13
  loyalty
• 10:14
  card
• 10:14
  app.
• 10:14
  And
• 10:15
  if
• 10:15
  you
• 10:15
  do
• 10:15
  that,
• 10:15
  you
• 10:15
  can
• 10:16
  do
• 10:16
  hyper
• 10:16
  personalization
• 10:17
  because
• 10:17
  you
• 10:17
  can
• 10:17
  target
• 10:17
  exactly
• 10:18
  where
• 10:18
  the
• 10:18
  customer
• 10:18
  is
• 10:19
  at
• 10:19
  the
• 10:19
  store
• 10:19
  when
• 10:20
  he
• 10:20
  enters.
• 10:20
  You
• 10:20
  can
• 10:20
  trigger
• 10:21
  something
• 10:21
  to
• 10:22
  incentivize
• 10:23
  a
• 10:23
  loyalty
• 10:24
  based
• 10:24
  purchase
• 10:25
  or
• 10:25
  even
• 10:26
  push
• 10:26
  for
• 10:26
  retail
• 10:26
  media
• 10:27
  on
• 10:27
  specific
• 10:27
  aisles,
• 10:28
  specific
• 10:28
  products,
• 10:29
  specific
• 10:29
  promotions.
• 10:30
  So
• 10:30
  that's,
• 10:31
  that's,
• 10:31
  that's
• 10:31
  the
• 10:31
  potential.
• 10:32
  Got
• 10:32
  it,
• 10:32
  got
• 10:32
  it.
• 10:32
  Do
• 10:33
  you
• 10:33
  guys
• 10:33
  have
• 10:33
  scan
• 10:33
  and
• 10:33
  go
• 10:33
  in
• 10:34
  your
• 10:34
  operations
• 10:35
  too?
• 10:35
  And
• 10:36
  that,
• 10:36
  that
• 10:36
  could
• 10:36
  potentially
• 10:36
  be
• 10:36
  a
• 10:37
  part
• 10:37
  of
• 10:37
  this
• 10:37
  too.
• 10:38
  Very
• 10:38
  interesting.
• 10:38
  Yeah,
• 10:39
  we've
• 10:39
  always,
• 10:39
  we've
• 10:39
  always
• 10:40
  hypothesized
• 10:40
  about
• 10:40
  the
• 10:41
  day
• 10:41
  when
• 10:41
  we
• 10:41
  can
• 10:41
  analyze
• 10:42
  a
• 10:42
  store
• 10:42
  like
• 10:42
  an
• 10:42
  E
• 10:42
  commerce
• 10:43
  browser.
• 10:43
  We
• 10:43
  haven't
• 10:43
  seen
• 10:44
  it
• 10:44
  yet
• 10:44
  done,
• 10:44
  but
• 10:45
  it's,
• 10:45
  it's
• 10:45
  getting
• 10:45
  closer
• 10:46
  and
• 10:46
  closer
• 10:46
  every
• 10:46
  year.
• 10:47
  All
• 10:47
  right,
• 10:47
  we'll
• 10:47
  get
• 10:47
  you
• 10:48
  out
• 10:48
  of
• 10:48
  here
• 10:48
  on
• 10:48
  this.
• 10:49
  Now
• 10:50
  you
• 10:50
  can
• 10:50
  take
• 10:50
  this
• 10:50
  question
• 10:51
  as
• 10:51
  broadly
• 10:51
  or
• 10:52
  as
• 10:52
  specifically
• 10:53
  as
• 10:53
  you
• 10:53
  want.
• 10:53
  It's
• 10:53
  up
• 10:53
  to
• 10:53
  you.
• 10:54
  But
• 10:54
  my
• 10:54
  question
• 10:55
  for
• 10:55
  you
• 10:55
  is
• 10:56
  which
• 10:56
  technology
• 10:57
  do
• 10:57
  you
• 10:57
  think
• 10:57
  is
• 10:57
  going
• 10:57
  to
• 10:58
  have
• 10:58
  the
• 10:58
  biggest
• 10:58
  impact
• 10:58
  on
• 10:59
  retail
• 10:59
  over
• 10:59
  the
• 11:00
  next
• 11:00
  10
• 11:00
  years?
• 11:02
  Again,
• 11:03
  AI,
• 11:04
  right
• 11:05
  comes
• 11:05
  to
• 11:06
  mind.
• 11:07
  Yeah,
• 11:08
  definitely
• 11:08
  AI.
• 11:08
  But
• 11:09
  in
• 11:09
  particular
• 11:11
  with
• 11:11
  the
• 11:11
  evolution
• 11:11
  of
• 11:11
  AI
• 11:12
  and
• 11:12
  the
• 11:12
  integration
• 11:12
  of
• 11:13
  AI
• 11:13
  with
• 11:13
  autonomous
• 11:14
  robots,
• 11:14
  I
• 11:15
  believe
• 11:15
  it's
• 11:15
  where
• 11:15
  the
• 11:16
  potential
• 11:16
  might
• 11:17
  be
• 11:18
  given
• 11:18
  the
• 11:18
  time
• 11:18
  frame
• 11:18
  you
• 11:18
  are
• 11:19
  giving.
• 11:19
  Okay,
• 11:19
  okay.
• 11:21
  I'm
• 11:21
  going
• 11:21
  to
• 11:21
  call
• 11:21
  it.
• 11:22
  Digital
• 11:22
  AI
• 11:23
  can
• 11:23
  already
• 11:23
  do
• 11:24
  so
• 11:24
  much
• 11:24
  more
• 11:24
  for
• 11:24
  retail.
• 11:25
  But
• 11:27
  retail
• 11:27
  is
• 11:27
  still
• 11:28
  a
• 11:28
  very
• 11:28
  physical
• 11:29
  business.
• 11:29
  We
• 11:29
  need
• 11:30
  to
• 11:30
  take
• 11:31
  products
• 11:31
  from
• 11:31
  one
• 11:31
  place
• 11:32
  to
• 11:32
  the,
• 11:32
  to
• 11:32
  the
• 11:33
  other.
• 11:33
  Let
• 11:34
  it
• 11:34
  be
• 11:34
  to
• 11:34
  a
• 11:34
  store,
• 11:34
  from
• 11:35
  a
• 11:35
  warehouse
• 11:35
  to
• 11:35
  a
• 11:35
  store,
• 11:35
  from
• 11:36
  a
• 11:36
  store
• 11:36
  to
• 11:36
  a
• 11:37
  customer
• 11:37
  house,
• 11:38
  it
• 11:38
  doesn't
• 11:38
  matter.
• 11:39
  And
• 11:39
  with
• 11:39
  the
• 11:39
  evolution
• 11:40
  of
• 11:40
  autonomous
• 11:41
  robots
• 11:42
  and
• 11:42
  the
• 11:42
  integration
• 11:42
  of
• 11:43
  AI,
• 11:43
  the
• 11:43
  smarter
• 11:44
  AI
• 11:44
  that
• 11:44
  we
• 11:44
  are
• 11:45
  seeing
• 11:45
  on
• 11:45
  those
• 11:46
  autonomous
• 11:46
  robots,
• 11:47
  I
• 11:47
  believe
• 11:47
  that
• 11:47
  within
• 11:48
  a
• 11:48
  10
• 11:48
  year
• 11:48
  time
• 11:48
  frame
• 11:49
  there's
• 11:49
  a
• 11:49
  lot
• 11:49
  of
• 11:49
  potential.
• 11:49
  There's
• 11:50
  a
• 11:50
  huge
• 11:52
  incremental
• 11:53
  benefit
• 11:55
  on
• 11:55
  the
• 11:55
  instrument.
• 11:55
  And
• 11:56
  you
• 11:56
  think
• 11:56
  that's
• 11:56
  in
• 11:56
  store,
• 11:57
  warehousing
• 11:57
  both
• 11:58
  sides?
• 11:58
  I
• 11:58
  would
• 11:58
  say
• 11:59
  pretty
• 11:59
  much
• 11:59
  everywhere.
• 11:59
  You
• 12:00
  can
• 12:00
  automate
• 12:02
  easily,
• 12:03
  warehouses,
• 12:04
  replenishment
• 12:04
  in
• 12:05
  store.
• 12:05
  Because
• 12:05
  you
• 12:06
  start
• 12:06
  getting
• 12:06
  autonomous
• 12:07
  robots
• 12:07
  with
• 12:08
  the
• 12:08
  sensibility
• 12:09
  of
• 12:09
  a
• 12:09
  human.
• 12:09
  Because
• 12:10
  one
• 12:10
  thing
• 12:10
  is
• 12:10
  a
• 12:10
  robot
• 12:11
  that
• 12:11
  just
• 12:11
  pushes
• 12:12
  a
• 12:12
  box
• 12:12
  from
• 12:12
  point
• 12:13
  A
• 12:13
  to
• 12:13
  point
• 12:13
  B.
• 12:13
  But
• 12:14
  a
• 12:14
  robot
• 12:14
  that
• 12:15
  can
• 12:15
  pick
• 12:15
  up
• 12:15
  a
• 12:16
  specific
• 12:16
  product
• 12:17
  and
• 12:17
  even
• 12:17
  a
• 12:17
  fragile
• 12:18
  product
• 12:18
  and
• 12:18
  place
• 12:18
  it
• 12:19
  on
• 12:19
  a
• 12:19
  shelf,
• 12:20
  it's
• 12:21
  a
• 12:21
  completely
• 12:21
  different
• 12:21
  thing
• 12:22
  and
• 12:22
  completely
• 12:23
  different
• 12:23
  potential.
• 12:24
  Yeah,
• 12:24
  especially
• 12:24
  with
• 12:25
  labor
• 12:25
  being
• 12:25
  such
• 12:26
  an
• 12:26
  issue
• 12:27
  cost
• 12:27
  wise
• 12:28
  and
• 12:29
  with
• 12:29
  the
• 12:29
  availability
• 12:30
  of
• 12:30
  labor
• 12:30
  in
• 12:31
  a
• 12:31
  lot
• 12:31
  of
• 12:31
  places.
• 12:32
  Well,
• 12:33
  you
• 12:33
  heard
• 12:33
  it
• 12:33
  here
• 12:33
  first.
• 12:34
  This
• 12:34
  man's
• 12:34
  on
• 12:34
  the
• 12:34
  front
• 12:34
  lines
• 12:35
  of
• 12:35
  technology
• 12:35
  innovation
• 12:36
  in
• 12:36
  Portugal
• 12:37
  particularly
• 12:37
  and
• 12:38
  across
• 12:38
  Europe.
• 12:38
  They're
• 12:39
  very
• 12:39
  well
• 12:39
  regarded
• 12:40
  retailer.
• 12:40
  Rafael,
• 12:40
  thank
• 12:41
  you
• 12:41
  for
• 12:41
  joining
• 12:41
  us.
• 12:41
  My
• 12:42
  pleasure.
• 12:42
  Thank
• 12:42
  you
• 12:42
  to
• 12:42
  Vusion
• 12:43
  Group
• 12:43
  for
• 12:43
  sponsoring
• 12:44
  our
• 12:44
  coverage
• 12:44
  here
• 12:44
  from
• 12:45
  NRF's
• 12:45
  big
• 12:46
  show
• 12:46
  in
• 12:46
  Europe
• 12:47
  in
• 12:47
  Paris.
• 12:47
  And
• 12:48
  Anne,
• 12:48
  until
• 12:48
  next
• 12:49
  time,
• 12:49
  be
• 12:49
  careful
• 12:49
  out
• 12:50
  there.