Latest / Omni Talk Retail / How DoorDash is Powering Omnichannel Excellence with AI & Data | Live at Shoptalk 2025

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How DoorDash is Powering Omnichannel Excellence with AI & Data | Live at Shoptalk 2025 · Omni Talk Retail

• 0:00
  Welcome
• 0:00
  back,
• 0:01
  everybody.
• 0:01
  We
• 0:02
  are
• 0:02
  here
• 0:02
  with
• 0:03
  our
• 0:03
  final
• 0:04
  interview
• 0:05
  of
• 0:05
  Shop
• 0:05
  Talk
• 0:06
  day
• 0:06
  two.
• 0:07
  This
• 0:07
  is
• 0:07
  Omnitok
• 0:08
  Retail.
• 0:08
  I'm
• 0:08
  Anne
• 0:09
  Mazinga.
• 0:09
  And
• 0:09
  I'm
• 0:09
  Chris
• 0:10
  Walton.
• 0:10
  And
• 0:10
  standing
• 0:11
  between
• 0:11
  us,
• 0:12
  we
• 0:12
  have
• 0:12
  one
• 0:13
  of
• 0:13
  the
• 0:13
  OGs
• 0:14
  of
• 0:14
  DoorDash.
• 0:15
  This
• 0:15
  is
• 0:15
  like
• 0:15
  a
• 0:16
  super
• 0:16
  exciting
• 0:17
  interview,
• 0:17
  Chris,
• 0:17
  because
• 0:18
  Jessica
• 0:19
  Lax,
• 0:20
  the
• 0:20
  Chief
• 0:20
  analytics
• 0:21
  officer,
• 0:21
  standing
• 0:22
  between
• 0:22
  us.
• 0:22
  You
• 0:22
  were
• 0:23
  what.
• 0:23
  What
• 0:23
  employee
• 0:24
  were
• 0:24
  you
• 0:24
  at
• 0:24
  Doordash?
• 0:25
  You
• 0:25
  know,
• 0:25
  I
• 0:26
  don't
• 0:26
  know
• 0:26
  the
• 0:26
  actual
• 0:26
  number,
• 0:27
  but
• 0:27
  it
• 0:27
  was
• 0:28
  probably
• 0:28
  in
• 0:28
  the
• 0:29
  20s.
• 0:30
  In
• 0:30
  the
• 0:30
  20s?
• 0:31
  Yeah.
• 0:31
  And
• 0:31
  how
• 0:31
  many
• 0:31
  people
• 0:31
  are
• 0:32
  at
• 0:32
  Doordash
• 0:32
  now?
• 0:34
  More
• 0:34
  than
• 0:34
  20,000.
• 0:36
  I
• 0:36
  mean,
• 0:36
  you've
• 0:37
  seen
• 0:37
  some
• 0:37
  things.
• 0:38
  I
• 0:39
  have.
• 0:39
  My
• 0:40
  lips
• 0:40
  are
• 0:40
  sealed.
• 0:40
  We
• 0:41
  don't
• 0:41
  have
• 0:41
  to
• 0:41
  talk
• 0:41
  about
• 0:41
  all
• 0:41
  of
• 0:42
  them
• 0:42
  right
• 0:42
  now,
• 0:42
  but
• 0:43
  I'm
• 0:43
  really
• 0:43
  excited
• 0:44
  to
• 0:44
  dive
• 0:44
  in
• 0:44
  with
• 0:44
  you
• 0:45
  today.
• 0:45
  Before
• 0:46
  we
• 0:46
  do
• 0:46
  that,
• 0:46
  I
• 0:46
  just
• 0:47
  want
• 0:47
  to
• 0:47
  give
• 0:47
  a
• 0:47
  quick
• 0:48
  thank
• 0:48
  you
• 0:48
  to
• 0:48
  Meta,
• 0:49
  who
• 0:49
  has
• 0:49
  made
• 0:49
  all
• 0:50
  of
• 0:50
  our
• 0:50
  coverage
• 0:50
  here
• 0:50
  at
• 0:51
  Shop
• 0:51
  Talk
• 0:51
  today
• 0:51
  day
• 0:52
  two,
• 0:52
  possible.
• 0:53
  Thank
• 0:53
  you
• 0:53
  to
• 0:53
  Meta,
• 0:54
  where
• 0:54
  you
• 0:54
  can
• 0:54
  unlock
• 0:55
  seamless
• 0:55
  customer
• 0:56
  centric
• 0:56
  experiences
• 0:57
  with
• 0:57
  omnichannel
• 0:58
  ads.
• 0:59
  Thank
• 1:00
  you
• 1:00
  again
• 1:00
  to
• 1:00
  them
• 1:00
  for
• 1:00
  making
• 1:01
  all
• 1:01
  of
• 1:01
  our
• 1:01
  coverage
• 1:01
  possible.
• 1:02
  All
• 1:02
  right,
• 1:02
  let's
• 1:03
  dive
• 1:04
  in.
• 1:04
  Yes,
• 1:04
  Jessica.
• 1:05
  So
• 1:06
  like
• 1:06
  Ann
• 1:06
  said,
• 1:07
  you
• 1:07
  were
• 1:07
  one
• 1:07
  of
• 1:07
  the
• 1:07
  first
• 1:08
  team
• 1:08
  members
• 1:08
  at
• 1:08
  Doordash,
• 1:09
  but
• 1:10
  let's
• 1:10
  talk
• 1:10
  about
• 1:10
  your
• 1:10
  background
• 1:11
  a
• 1:11
  little
• 1:11
  bit
• 1:11
  too.
• 1:11
  Like
• 1:11
  chief
• 1:12
  analytics
• 1:12
  officer.
• 1:13
  I
• 1:13
  think
• 1:13
  you
• 1:13
  may
• 1:13
  be
• 1:13
  the
• 1:13
  first
• 1:14
  one
• 1:14
  of
• 1:14
  those
• 1:14
  we've
• 1:14
  ever
• 1:15
  had
• 1:15
  on
• 1:15
  our
• 1:15
  show.
• 1:16
  I'm
• 1:16
  honored
• 1:16
  how
• 1:16
  you
• 1:17
  became
• 1:17
  that
• 1:17
  and
• 1:18
  what
• 1:18
  is
• 1:18
  it
• 1:18
  that
• 1:18
  you
• 1:19
  do
• 1:19
  on
• 1:19
  a
• 1:19
  daily
• 1:19
  basis?
• 1:20
  That's
• 1:20
  a
• 1:20
  great
• 1:20
  question.
• 1:21
  So
• 1:22
  I
• 1:22
  am
• 1:24
  a
• 1:24
  bit
• 1:24
  of
• 1:24
  an
• 1:24
  anomaly,
• 1:25
  which
• 1:25
  is
• 1:25
  I
• 1:26
  have
• 1:26
  a
• 1:26
  job
• 1:26
  that
• 1:26
  I
• 1:27
  shouldn't
• 1:27
  have.
• 1:28
  I
• 1:28
  actually
• 1:29
  started
• 1:29
  off
• 1:29
  as
• 1:29
  a
• 1:30
  GM
• 1:31
  over
• 1:31
  10
• 1:31
  years
• 1:32
  ago.
• 1:32
  So
• 1:32
  I
• 1:32
  started
• 1:33
  in
• 1:33
  2014
• 1:33
  at
• 1:34
  DoorDash,
• 1:35
  and
• 1:35
  I
• 1:35
  was
• 1:36
  the
• 1:36
  first
• 1:36
  general
• 1:36
  manager
• 1:37
  we
• 1:37
  hired.
• 1:38
  And
• 1:38
  since
• 1:39
  then,
• 1:39
  I've
• 1:39
  sort
• 1:39
  of
• 1:39
  navigated
• 1:40
  into
• 1:40
  the
• 1:41
  analytics
• 1:41
  space
• 1:42
  by
• 1:42
  just
• 1:43
  being
• 1:43
  endlessly
• 1:44
  curious,
• 1:45
  really.
• 1:45
  So.
• 1:45
  So
• 1:45
  I
• 1:46
  have
• 1:46
  a
• 1:46
  natural
• 1:46
  curiosity
• 1:47
  and
• 1:47
  I
• 1:47
  ask
• 1:48
  a
• 1:48
  lot
• 1:48
  of
• 1:48
  questions,
• 1:49
  and
• 1:49
  there
• 1:49
  was
• 1:49
  no
• 1:50
  one
• 1:50
  to
• 1:50
  answer
• 1:50
  those
• 1:50
  questions
• 1:51
  except
• 1:51
  for
• 1:51
  myself.
• 1:52
  And
• 1:53
  so
• 1:53
  I
• 1:53
  had
• 1:54
  to
• 1:54
  figure
• 1:54
  out
• 1:54
  how
• 1:55
  to
• 1:55
  acquire
• 1:56
  the
• 1:56
  skills
• 1:56
  to
• 1:56
  be
• 1:56
  able
• 1:56
  to
• 1:56
  answer
• 1:57
  those
• 1:57
  questions.
• 1:58
  Started
• 1:58
  asking
• 1:59
  more
• 1:59
  questions,
• 2:00
  answering
• 2:00
  more
• 2:00
  questions,
• 2:01
  built
• 2:01
  a
• 2:02
  team
• 2:02
  to
• 2:02
  help
• 2:02
  me
• 2:03
  answer
• 2:03
  those
• 2:03
  questions,
• 2:04
  and
• 2:04
  that's
• 2:05
  how
• 2:05
  I
• 2:05
  moved
• 2:05
  into
• 2:05
  the
• 2:06
  analytics
• 2:06
  space.
• 2:06
  Wow,
• 2:07
  interesting.
• 2:07
  But
• 2:07
  are
• 2:07
  you,
• 2:07
  like,
• 2:08
  a
• 2:08
  quant
• 2:08
  in
• 2:08
  any
• 2:09
  way,
• 2:09
  shape
• 2:09
  or
• 2:09
  form,
• 2:09
  or,
• 2:10
  like,
• 2:10
  you
• 2:10
  know,
• 2:10
  like,
• 2:10
  what's
• 2:10
  your.
• 2:11
  You
• 2:11
  gotta
• 2:11
  have
• 2:11
  some,
• 2:11
  like,
• 2:12
  math
• 2:12
  in
• 2:12
  your
• 2:12
  background,
• 2:13
  right?
• 2:13
  Or,
• 2:13
  like,
• 2:13
  what's
• 2:13
  going
• 2:13
  on?
• 2:14
  So
• 2:14
  I
• 2:14
  do
• 2:14
  have
• 2:14
  some
• 2:15
  math
• 2:15
  in
• 2:15
  my
• 2:15
  background.
• 2:15
  I
• 2:16
  actually
• 2:16
  started
• 2:16
  off
• 2:16
  as
• 2:16
  an
• 2:17
  investment
• 2:17
  bank
• 2:17
  banker.
• 2:18
  So
• 2:19
  I
• 2:19
  spent
• 2:19
  several
• 2:20
  years
• 2:20
  after
• 2:21
  graduating
• 2:22
  in
• 2:22
  the
• 2:23
  investment
• 2:23
  Banking
• 2:23
  space
• 2:24
  at
• 2:24
  Lehman
• 2:24
  Brothers.
• 2:25
  So
• 2:25
  that'll
• 2:25
  date
• 2:25
  me.
• 2:26
  Ah,
• 2:26
  yes.
• 2:27
  And
• 2:27
  then
• 2:27
  I
• 2:27
  went
• 2:28
  to
• 2:28
  business
• 2:28
  school
• 2:29
  where
• 2:29
  I
• 2:29
  started
• 2:30
  a
• 2:30
  company
• 2:31
  called
• 2:31
  giftsimple,
• 2:32
  which
• 2:32
  ultimately
• 2:33
  failed.
• 2:33
  But
• 2:34
  it
• 2:34
  was
• 2:34
  that
• 2:35
  failure
• 2:35
  that
• 2:37
  created
• 2:38
  the
• 2:38
  introduction
• 2:39
  to
• 2:39
  Tony
• 2:39
  Hsu,
• 2:40
  our
• 2:40
  co
• 2:40
  founder
• 2:41
  and
• 2:41
  CEO
• 2:42
  through
• 2:42
  Sequoia.
• 2:43
  And
• 2:43
  he
• 2:43
  liked
• 2:44
  my
• 2:44
  background,
• 2:45
  that
• 2:45
  I
• 2:45
  wasn't
• 2:45
  just
• 2:46
  a
• 2:46
  banker
• 2:46
  with
• 2:47
  an
• 2:47
  mba,
• 2:47
  but
• 2:47
  I
• 2:48
  had
• 2:48
  tried
• 2:48
  to
• 2:49
  start
• 2:49
  something,
• 2:50
  had
• 2:50
  that
• 2:50
  entrepreneurial
• 2:51
  spirit.
• 2:51
  And
• 2:52
  so
• 2:52
  when
• 2:53
  he
• 2:53
  was
• 2:53
  looking
• 2:53
  to
• 2:53
  hire
• 2:54
  his
• 2:54
  first
• 2:54
  GM
• 2:54
  and
• 2:55
  help
• 2:55
  launch
• 2:55
  a
• 2:55
  bunch
• 2:55
  of
• 2:55
  cities,
• 2:57
  my
• 2:57
  resume
• 2:58
  was
• 2:59
  sent
• 2:59
  to
• 2:59
  him
• 2:59
  and
• 2:59
  he
• 2:59
  thought
• 2:59
  it
• 3:00
  looked
• 3:00
  interesting.
• 3:00
  Wow.
• 3:01
  And
• 3:01
  so
• 3:01
  then
• 3:01
  you.
• 3:02
  And
• 3:02
  then
• 3:02
  it
• 3:02
  transpired
• 3:03
  into
• 3:03
  you
• 3:04
  taking
• 3:04
  on
• 3:05
  more
• 3:06
  of
• 3:06
  an
• 3:06
  elevated
• 3:06
  role
• 3:07
  too,
• 3:07
  and
• 3:07
  learning
• 3:07
  how
• 3:08
  to
• 3:08
  do
• 3:08
  that
• 3:08
  as
• 3:09
  you
• 3:09
  figure
• 3:10
  out
• 3:10
  what
• 3:10
  that
• 3:10
  role
• 3:10
  is
• 3:10
  about.
• 3:11
  Exactly.
• 3:11
  So
• 3:12
  I
• 3:13
  knew
• 3:13
  some
• 3:13
  basic
• 3:13
  SQL
• 3:14
  when
• 3:14
  I
• 3:14
  had
• 3:15
  started.
• 3:15
  Started,
• 3:16
  but
• 3:16
  our
• 3:16
  data,
• 3:17
  there
• 3:17
  was
• 3:17
  no
• 3:17
  one
• 3:17
  to
• 3:18
  access
• 3:19
  the
• 3:19
  data
• 3:19
  for
• 3:19
  me.
• 3:20
  I
• 3:20
  had
• 3:20
  to
• 3:20
  actually
• 3:21
  figure
• 3:21
  out
• 3:22
  how
• 3:22
  to
• 3:22
  do
• 3:22
  that
• 3:22
  myself.
• 3:23
  We
• 3:23
  didn't
• 3:23
  have
• 3:23
  structured
• 3:24
  data
• 3:24
  models
• 3:25
  that
• 3:25
  would
• 3:25
  make
• 3:25
  queries.
• 3:26
  Exactly.
• 3:27
  Wow,
• 3:27
  that's
• 3:27
  amazing.
• 3:28
  Yeah.
• 3:28
  So
• 3:29
  self
• 3:29
  taught.
• 3:29
  And
• 3:29
  SQL
• 3:30
  and
• 3:30
  Python,
• 3:31
  out
• 3:31
  of
• 3:31
  the
• 3:31
  goodness
• 3:32
  of
• 3:32
  his
• 3:32
  heart.
• 3:33
  One
• 3:33
  of
• 3:33
  our
• 3:33
  early
• 3:33
  engineers
• 3:34
  actually
• 3:34
  tutored
• 3:35
  me
• 3:35
  on
• 3:35
  the
• 3:35
  weekends
• 3:36
  to
• 3:36
  teach
• 3:36
  me
• 3:36
  Python
• 3:37
  and
• 3:38
  that's
• 3:39
  just
• 3:39
  the
• 3:39
  beginning
• 3:40
  of
• 3:40
  where
• 3:40
  I
• 3:40
  am
• 3:40
  today.
• 3:41
  That's
• 3:41
  a
• 3:41
  true
• 3:41
  startup
• 3:42
  story.
• 3:42
  That
• 3:42
  is
• 3:43
  awesome.
• 3:43
  God,
• 3:44
  I
• 3:44
  love
• 3:44
  that
• 3:44
  story.
• 3:44
  And
• 3:44
  so
• 3:45
  cool.
• 3:45
  I
• 3:45
  mean,
• 3:45
  you're
• 3:45
  definitely
• 3:46
  in
• 3:46
  line
• 3:46
  with
• 3:47
  the
• 3:47
  kind
• 3:47
  of
• 3:47
  people
• 3:48
  that
• 3:48
  we
• 3:49
  align
• 3:49
  with.
• 3:49
  Where,
• 3:50
  you
• 3:50
  know,
• 3:51
  doing.
• 3:51
  Doing
• 3:52
  what
• 3:52
  you
• 3:52
  cook
• 3:52
  yourself.
• 3:53
  Yeah,
• 3:53
  exactly.
• 3:54
  Doing
• 3:54
  it
• 3:54
  and
• 3:54
  actually
• 3:55
  getting
• 3:55
  that
• 3:55
  experience
• 3:56
  to
• 3:56
  help
• 3:56
  you
• 3:56
  figure
• 3:56
  out.
• 3:57
  Yeah,
• 3:57
  that
• 3:57
  one
• 3:58
  didn't
• 3:58
  work.
• 3:58
  But
• 3:58
  how
• 3:58
  are
• 3:58
  you
• 3:59
  going
• 3:59
  to
• 3:59
  apply
• 3:59
  what
• 3:59
  you
• 3:59
  learned,
• 4:00
  the
• 4:00
  next
• 4:00
  role?
• 4:01
  Well,
• 4:01
  I
• 4:02
  want
• 4:02
  to
• 4:02
  shift
• 4:02
  gears
• 4:02
  just
• 4:03
  a
• 4:03
  little
• 4:03
  bit
• 4:04
  because
• 4:04
  you've
• 4:05
  made
• 4:05
  some
• 4:06
  pretty
• 4:06
  big
• 4:06
  announcements,
• 4:07
  I
• 4:07
  would
• 4:07
  say
• 4:07
  in
• 4:08
  the
• 4:08
  last
• 4:08
  couple
• 4:08
  days,
• 4:09
  you
• 4:09
  being
• 4:09
  doordash,
• 4:10
  I'd
• 4:11
  love
• 4:11
  for
• 4:11
  you
• 4:11
  to
• 4:11
  share
• 4:12
  a
• 4:12
  few
• 4:12
  of
• 4:12
  those
• 4:12
  with
• 4:12
  our
• 4:13
  audience.
• 4:13
  We
• 4:13
  did
• 4:13
  cover
• 4:14
  one
• 4:14
  of
• 4:14
  them
• 4:14
  on
• 4:14
  our
• 4:15
  Fast
• 4:15
  5
• 4:15
  this
• 4:15
  morning
• 4:16
  about
• 4:17
  partnership
• 4:17
  with
• 4:17
  Klarna.
• 4:18
  But
• 4:18
  what
• 4:19
  are
• 4:19
  you
• 4:19
  launching
• 4:20
  here
• 4:21
  at
• 4:21
  Shop
• 4:21
  Talk?
• 4:22
  Jessica?
• 4:23
  So
• 4:23
  we've
• 4:23
  got
• 4:23
  a
• 4:23
  number
• 4:24
  of
• 4:24
  announcements.
• 4:25
  So
• 4:25
  you
• 4:25
  mentioned
• 4:26
  the
• 4:26
  Klarna
• 4:26
  partnership.
• 4:27
  We
• 4:27
  also
• 4:28
  announced
• 4:29
  a
• 4:29
  partnership
• 4:29
  with
• 4:30
  DSW
• 4:31
  because
• 4:31
  as
• 4:31
  you
• 4:32
  know,
• 4:32
  you
• 4:32
  can
• 4:33
  get
• 4:33
  a
• 4:33
  lot
• 4:33
  of
• 4:33
  things
• 4:33
  delivered
• 4:34
  through
• 4:35
  doordash,
• 4:35
  not
• 4:36
  just
• 4:36
  restaurants.
• 4:37
  We
• 4:37
  have
• 4:38
  a
• 4:38
  huge
• 4:39
  new
• 4:39
  verticals
• 4:40
  business
• 4:40
  across
• 4:40
  grocery,
• 4:41
  retail,
• 4:42
  convenience,
• 4:43
  pets,
• 4:44
  flowers.
• 4:45
  And
• 4:46
  so
• 4:46
  DSW
• 4:46
  is
• 4:47
  one
• 4:47
  of
• 4:47
  the
• 4:47
  latest
• 4:48
  partnerships
• 4:48
  within
• 4:49
  our
• 4:49
  retail
• 4:49
  vertical.
• 4:50
  That's
• 4:50
  awesome.
• 4:51
  There
• 4:51
  are
• 4:51
  such
• 4:52
  things
• 4:52
  as
• 4:52
  shoe
• 4:52
  emergencies.
• 4:53
  I
• 4:53
  feel
• 4:53
  like
• 4:54
  that's
• 4:54
  always,
• 4:54
  everybody's
• 4:55
  always
• 4:55
  like,
• 4:56
  do
• 4:56
  you
• 4:56
  need
• 4:56
  shoes
• 4:57
  in
• 4:57
  30
• 4:57
  minutes
• 4:57
  or
• 4:57
  less?
• 4:58
  Absolutely
• 4:59
  you
• 4:59
  need
• 5:00
  shoes.
• 5:00
  Especially
• 5:00
  when
• 5:01
  you're
• 5:01
  at
• 5:01
  a
• 5:01
  conference
• 5:02
  in
• 5:02
  landlocked
• 5:03
  Las
• 5:03
  Vegas.
• 5:04
  I
• 5:04
  am
• 5:04
  super
• 5:05
  excited
• 5:05
  about
• 5:05
  the
• 5:05
  door
• 5:06
  or
• 5:06
  the
• 5:06
  DSW
• 5:06
  DoorDash
• 5:07
  partnership
• 5:08
  and
• 5:08
  may.
• 5:08
  Or
• 5:08
  may
• 5:09
  not
• 5:09
  need
• 5:09
  those
• 5:09
  today.
• 5:10
  Actually,
• 5:10
  I
• 5:10
  do.
• 5:10
  Yes.
• 5:11
  I
• 5:11
  will
• 5:11
  be
• 5:11
  doing
• 5:12
  that
• 5:12
  immediately
• 5:12
  after
• 5:13
  this
• 5:13
  interview.
• 5:14
  Explain
• 5:14
  the
• 5:15
  Klarna
• 5:15
  Partnership,
• 5:15
  too,
• 5:15
  if
• 5:15
  you
• 5:16
  don't
• 5:16
  mind,
• 5:16
  for
• 5:16
  those
• 5:16
  maybe
• 5:16
  that
• 5:17
  aren't
• 5:17
  as
• 5:17
  familiar
• 5:17
  with
• 5:17
  Klarna.
• 5:18
  Yeah,
• 5:18
  I
• 5:18
  mean,
• 5:19
  I've
• 5:19
  seen
• 5:19
  the
• 5:20
  memes
• 5:20
  like
• 5:20
  you
• 5:20
  probably
• 5:21
  all
• 5:21
  have,
• 5:22
  but,
• 5:23
  you
• 5:23
  know,
• 5:23
  as
• 5:23
  I
• 5:23
  mentioned,
• 5:24
  we
• 5:24
  don't
• 5:24
  just
• 5:24
  deliver
• 5:25
  burritos.
• 5:26
  There
• 5:27
  are
• 5:27
  a
• 5:27
  lot
• 5:27
  of
• 5:27
  things
• 5:28
  that
• 5:28
  you
• 5:28
  can
• 5:28
  order
• 5:29
  on
• 5:29
  DoorDash
• 5:30
  that
• 5:30
  are
• 5:30
  quite
• 5:31
  pricey,
• 5:31
  that
• 5:31
  are
• 5:32
  larger
• 5:32
  ticket
• 5:32
  items.
• 5:33
  We
• 5:33
  were
• 5:33
  talking
• 5:34
  earlier
• 5:34
  about
• 5:35
  ordering
• 5:36
  ipods
• 5:37
  on
• 5:37
  the
• 5:37
  AirPods.
• 5:38
  Sorry,
• 5:38
  yes.
• 5:39
  Dating
• 5:40
  myself
• 5:40
  again.
• 5:42
  I
• 5:43
  loved
• 5:43
  my
• 5:43
  ipod.
• 5:44
  Yeah,
• 5:44
  obviously
• 5:45
  we
• 5:45
  all
• 5:45
  did.
• 5:46
  But
• 5:46
  you
• 5:46
  can
• 5:47
  order
• 5:47
  AirPods
• 5:48
  through
• 5:48
  DoorDash
• 5:49
  or
• 5:50
  even
• 5:50
  a
• 5:51
  leaf
• 5:51
  blower
• 5:51
  from
• 5:52
  the
• 5:52
  Home
• 5:52
  Depot.
• 5:53
  And
• 5:53
  so
• 5:53
  for
• 5:54
  shoes.
• 5:55
  Exactly.
• 5:56
  Shoes
• 5:56
  from
• 5:56
  dsw.
• 5:57
  And
• 5:58
  so
• 5:58
  if
• 5:58
  you.
• 5:59
  For
• 5:59
  folks,
• 6:00
  the
• 6:00
  Klarna
• 6:00
  Partnership
• 6:01
  is
• 6:01
  really
• 6:01
  about
• 6:01
  flexibility.
• 6:02
  So
• 6:02
  we
• 6:02
  want
• 6:03
  consumers
• 6:03
  to
• 6:04
  have
• 6:04
  the
• 6:04
  payment
• 6:05
  options
• 6:05
  that
• 6:06
  work
• 6:06
  best
• 6:06
  for
• 6:06
  them,
• 6:07
  whether
• 6:07
  that's
• 6:08
  PayPal
• 6:09
  or
• 6:09
  Apple
• 6:10
  Pay
• 6:10
  or
• 6:10
  traditional
• 6:11
  credit
• 6:11
  card
• 6:11
  or
• 6:12
  Buy
• 6:12
  Now,
• 6:12
  Pay
• 6:13
  later
• 6:13
  through
• 6:13
  Klarna.
• 6:14
  It's
• 6:15
  really
• 6:15
  just
• 6:15
  about
• 6:15
  flexibility.
• 6:16
  And
• 6:16
  so
• 6:17
  you
• 6:17
  also
• 6:17
  can
• 6:17
  use
• 6:18
  Klarna
• 6:18
  if
• 6:19
  you
• 6:19
  want
• 6:19
  to
• 6:19
  get
• 6:20
  an
• 6:20
  annual
• 6:20
  DashPass
• 6:21
  subscription
• 6:22
  for
• 6:22
  a
• 6:22
  discounted
• 6:23
  price
• 6:23
  and
• 6:23
  then
• 6:23
  break
• 6:24
  up
• 6:24
  that
• 6:25
  rather
• 6:25
  than
• 6:25
  paying
• 6:25
  it
• 6:26
  all
• 6:26
  at
• 6:26
  once.
• 6:26
  Oh,
• 6:27
  my
• 6:27
  gosh,
• 6:27
  I
• 6:27
  didn't
• 6:27
  know
• 6:28
  about
• 6:28
  that
• 6:28
  little
• 6:28
  angle.
• 6:29
  Now
• 6:29
  we're
• 6:29
  in
• 6:29
  the
• 6:29
  life
• 6:30
  hacks,
• 6:30
  eh?
• 6:32
  Life
• 6:32
  hacks
• 6:33
  with
• 6:33
  lax,
• 6:33
  I
• 6:33
  think.
• 6:34
  Yeah,
• 6:34
  that's
• 6:34
  what
• 6:34
  we
• 6:34
  got
• 6:35
  going
• 6:35
  on
• 6:35
  here
• 6:35
  today.
• 6:36
  All
• 6:36
  right,
• 6:36
  it's
• 6:36
  gonna
• 6:37
  be
• 6:37
  my
• 6:37
  new
• 6:37
  podcast.
• 6:38
  Thanks
• 6:38
  for
• 6:38
  that.
• 6:39
  That's
• 6:39
  a
• 6:39
  good
• 6:39
  one.
• 6:40
  All
• 6:40
  right,
• 6:41
  so
• 6:41
  retail
• 6:41
  media,
• 6:42
  it's
• 6:42
  been
• 6:42
  the
• 6:42
  talk
• 6:43
  of
• 6:43
  this
• 6:44
  conference.
• 6:44
  It's
• 6:45
  been
• 6:45
  the
• 6:45
  talk
• 6:45
  of
• 6:45
  many
• 6:45
  conferences
• 6:46
  over
• 6:46
  the
• 6:46
  past
• 6:46
  years.
• 6:46
  It's
• 6:47
  been
• 6:47
  the
• 6:47
  talk
• 6:47
  of
• 6:47
  the
• 6:47
  industry
• 6:47
  for
• 6:48
  the
• 6:48
  past
• 6:48
  little
• 6:49
  while,
• 6:49
  too.
• 6:50
  What
• 6:50
  have
• 6:50
  you,
• 6:51
  you
• 6:51
  know,
• 6:51
  it's
• 6:51
  a
• 6:51
  very
• 6:52
  important
• 6:52
  part
• 6:52
  of,
• 6:52
  you
• 6:52
  know,
• 6:53
  what
• 6:53
  you
• 6:53
  guys
• 6:53
  do
• 6:53
  on
• 6:53
  a
• 6:54
  daily
• 6:54
  basis
• 6:54
  as
• 6:54
  well.
• 6:55
  What
• 6:55
  have
• 6:55
  you
• 6:55
  seen
• 6:56
  that,
• 6:56
  you
• 6:57
  know,
• 6:57
  separates
• 6:57
  the
• 6:57
  retailers
• 6:58
  that
• 6:58
  get
• 6:58
  the
• 6:58
  retail
• 6:59
  media
• 6:59
  side
• 7:00
  from
• 7:00
  those
• 7:00
  that
• 7:00
  don't?
• 7:02
  When
• 7:02
  you
• 7:02
  mean
• 7:02
  retail
• 7:03
  media,
• 7:03
  you're
• 7:03
  specifically
• 7:04
  talking
• 7:04
  about,
• 7:04
  like,
• 7:05
  advertisers
• 7:05
  within
• 7:05
  the
• 7:06
  platform.
• 7:06
  Yeah,
• 7:07
  I
• 7:07
  think,
• 7:07
  you
• 7:07
  know,
• 7:07
  we
• 7:08
  have
• 7:08
  42
• 7:09
  million
• 7:10
  monthly
• 7:10
  active
• 7:11
  users
• 7:12
  that
• 7:12
  are
• 7:12
  using
• 7:13
  the
• 7:13
  DoorDash
• 7:14
  or
• 7:14
  Volt
• 7:14
  platform
• 7:15
  globally.
• 7:16
  And
• 7:16
  so
• 7:16
  it's
• 7:17
  a
• 7:17
  massive
• 7:18
  audience
• 7:19
  to
• 7:19
  get
• 7:19
  your
• 7:19
  products
• 7:20
  in
• 7:20
  front
• 7:20
  of.
• 7:21
  And
• 7:21
  while
• 7:21
  we
• 7:22
  do
• 7:22
  a
• 7:22
  lot
• 7:22
  of
• 7:22
  things
• 7:23
  using
• 7:23
  our
• 7:23
  own
• 7:23
  data
• 7:24
  to
• 7:24
  improve
• 7:24
  personalization,
• 7:25
  you
• 7:26
  have.
• 7:26
  There's
• 7:26
  a
• 7:27
  great
• 7:27
  opportunity
• 7:28
  to
• 7:28
  acquire
• 7:28
  new
• 7:29
  Consumers
• 7:30
  spread
• 7:30
  your
• 7:30
  reach,
• 7:31
  showcase
• 7:31
  new
• 7:32
  offerings
• 7:32
  through.
• 7:33
  Through
• 7:33
  advertising.
• 7:34
  One
• 7:34
  of
• 7:34
  the
• 7:35
  other
• 7:35
  large
• 7:35
  announcements
• 7:36
  we
• 7:36
  just
• 7:36
  had
• 7:36
  was
• 7:37
  advertising
• 7:38
  through
• 7:38
  Double
• 7:38
  Dash,
• 7:39
  which
• 7:39
  is
• 7:40
  at
• 7:40
  checkout,
• 7:41
  after
• 7:41
  you
• 7:41
  placed
• 7:42
  your
• 7:42
  order,
• 7:42
  you
• 7:42
  can
• 7:43
  add
• 7:43
  on.
• 7:43
  That's
• 7:44
  great.
• 7:44
  You
• 7:44
  can
• 7:44
  add
• 7:44
  on
• 7:45
  more
• 7:45
  items
• 7:46
  to
• 7:46
  your
• 7:46
  order
• 7:46
  from
• 7:47
  other
• 7:47
  stores.
• 7:48
  And
• 7:48
  that's
• 7:48
  a
• 7:48
  great
• 7:49
  way
• 7:49
  to
• 7:49
  get
• 7:49
  visibility
• 7:50
  in
• 7:50
  front
• 7:50
  of
• 7:50
  consumers
• 7:51
  who
• 7:51
  may
• 7:51
  not
• 7:51
  even
• 7:51
  know
• 7:52
  that
• 7:52
  you're
• 7:52
  on
• 7:52
  doordash,
• 7:53
  who
• 7:53
  may
• 7:53
  not
• 7:53
  be
• 7:53
  aware
• 7:54
  that
• 7:54
  you
• 7:54
  sell
• 7:54
  certain
• 7:55
  items
• 7:56
  and
• 7:56
  to
• 7:56
  be
• 7:56
  able
• 7:57
  to
• 7:57
  get
• 7:57
  additional
• 7:58
  incremental
• 7:59
  sales
• 7:59
  on
• 7:59
  the
• 7:59
  platform.
• 8:00
  Right.
• 8:00
  That's
• 8:01
  so
• 8:01
  cool.
• 8:02
  I
• 8:02
  have
• 8:02
  to
• 8:02
  ask,
• 8:03
  in
• 8:03
  order
• 8:04
  to
• 8:04
  enable
• 8:04
  that,
• 8:04
  especially
• 8:05
  to
• 8:05
  the
• 8:06
  level
• 8:06
  that
• 8:06
  you're
• 8:06
  doing
• 8:07
  that,
• 8:07
  how
• 8:08
  does
• 8:08
  AI
• 8:08
  come
• 8:09
  into
• 8:09
  play
• 8:09
  there?
• 8:09
  Are
• 8:10
  you
• 8:10
  tapping
• 8:10
  that?
• 8:11
  That
• 8:11
  is
• 8:12
  a
• 8:12
  technology
• 8:12
  to
• 8:12
  help
• 8:13
  kind
• 8:13
  of
• 8:13
  place
• 8:14
  the
• 8:14
  right
• 8:14
  ads
• 8:15
  in
• 8:15
  front
• 8:15
  of
• 8:15
  the
• 8:15
  right
• 8:15
  customers
• 8:16
  at
• 8:16
  the
• 8:16
  right
• 8:16
  time.
• 8:17
  Absolutely.
• 8:17
  So
• 8:18
  we
• 8:18
  have
• 8:18
  an
• 8:18
  enormous
• 8:19
  amount
• 8:19
  of
• 8:20
  data,
• 8:20
  a
• 8:20
  lot
• 8:20
  of.
• 8:20
  If
• 8:21
  you
• 8:21
  think
• 8:21
  about
• 8:21
  all
• 8:21
  of
• 8:22
  the
• 8:22
  information
• 8:22
  we
• 8:22
  have
• 8:23
  that
• 8:23
  we
• 8:23
  collect
• 8:24
  from
• 8:24
  the
• 8:25
  actions
• 8:25
  that
• 8:25
  consumers
• 8:26
  take
• 8:26
  on
• 8:26
  the
• 8:26
  platform,
• 8:27
  their
• 8:27
  engagement,
• 8:28
  their
• 8:28
  search
• 8:28
  behavior,
• 8:29
  what
• 8:29
  they've
• 8:30
  ordered
• 8:30
  before,
• 8:30
  when
• 8:31
  they've
• 8:31
  order,
• 8:32
  what
• 8:32
  promotions
• 8:33
  they've
• 8:34
  taken
• 8:35
  advantage
• 8:35
  of
• 8:35
  on
• 8:35
  past
• 8:36
  orders,
• 8:36
  we
• 8:37
  have
• 8:37
  all
• 8:37
  of
• 8:37
  that
• 8:37
  information
• 8:38
  and
• 8:38
  we
• 8:38
  can
• 8:38
  use
• 8:38
  it
• 8:39
  in
• 8:39
  order
• 8:39
  to
• 8:40
  surface
• 8:40
  more
• 8:40
  relevant
• 8:41
  selection
• 8:42
  for
• 8:42
  them
• 8:43
  to
• 8:43
  reduce
• 8:44
  friction
• 8:44
  and
• 8:44
  really
• 8:44
  make
• 8:45
  browsing
• 8:45
  and
• 8:46
  choosing
• 8:46
  what
• 8:47
  you
• 8:47
  want
• 8:47
  delightful.
• 8:48
  One
• 8:49
  of
• 8:49
  the
• 8:49
  most
• 8:49
  fun
• 8:50
  problems
• 8:50
  that
• 8:50
  we
• 8:51
  are
• 8:51
  using
• 8:51
  AI
• 8:52
  for
• 8:52
  is
• 8:52
  actually
• 8:53
  grocery
• 8:53
  substitutions.
• 8:54
  Oh
• 8:55
  really?
• 8:55
  If
• 8:55
  you
• 8:55
  think
• 8:55
  about
• 8:56
  it,
• 8:56
  we
• 8:56
  have
• 8:57
  hundreds
• 8:57
  of
• 8:58
  thousands
• 8:58
  of
• 8:58
  SKUs.
• 8:59
  And
• 8:59
  if
• 9:00
  somebody
• 9:00
  orders
• 9:00
  chocolate
• 9:01
  chip
• 9:01
  cookies,
• 9:02
  something
• 9:02
  that
• 9:02
  I
• 9:03
  often
• 9:03
  do,
• 9:04
  and
• 9:05
  the
• 9:05
  store
• 9:05
  is
• 9:06
  out
• 9:06
  of
• 9:06
  chocolate
• 9:06
  chip
• 9:07
  cookies,
• 9:07
  we
• 9:07
  have
• 9:07
  to
• 9:07
  figure
• 9:08
  out
• 9:08
  what
• 9:08
  are
• 9:08
  the
• 9:09
  right
• 9:09
  substitutions
• 9:10
  to
• 9:10
  make
• 9:10
  for
• 9:11
  that
• 9:11
  order.
• 9:11
  If
• 9:12
  you
• 9:12
  order
• 9:12
  Chips
• 9:12
  Ahoy
• 9:13
  chocolate
• 9:14
  chip
• 9:14
  cookies,
• 9:14
  in
• 9:15
  the
• 9:15
  old
• 9:15
  days
• 9:16
  when
• 9:16
  we
• 9:16
  would
• 9:16
  do
• 9:17
  user
• 9:17
  testing,
• 9:17
  we
• 9:17
  would
• 9:18
  see
• 9:18
  that
• 9:18
  things
• 9:19
  like
• 9:19
  chocolate
• 9:19
  chip
• 9:20
  cookie
• 9:20
  dough
• 9:20
  ice
• 9:20
  cream
• 9:21
  would
• 9:21
  come
• 9:21
  up
• 9:22
  as
• 9:22
  a
• 9:23
  substitution.
• 9:24
  Exactly.
• 9:24
  Fuzzy
• 9:25
  matching
• 9:25
  of
• 9:25
  the
• 9:25
  name,
• 9:26
  while
• 9:27
  delicious,
• 9:28
  I
• 9:28
  don't
• 9:28
  think
• 9:28
  that
• 9:29
  that
• 9:29
  was
• 9:29
  a
• 9:30
  great
• 9:30
  substitution.
• 9:31
  I
• 9:31
  think
• 9:31
  we
• 9:31
  can
• 9:31
  do
• 9:31
  better.
• 9:33
  And
• 9:33
  so
• 9:33
  what
• 9:34
  we
• 9:34
  would
• 9:34
  hope
• 9:34
  to
• 9:34
  see
• 9:34
  is
• 9:35
  maybe
• 9:35
  another
• 9:35
  chocolate
• 9:35
  chip
• 9:36
  cookie
• 9:36
  brand
• 9:37
  like
• 9:37
  Entenmanns
• 9:38
  or
• 9:38
  Tate's
• 9:39
  as
• 9:40
  an
• 9:40
  alternative.
• 9:40
  And
• 9:41
  so
• 9:41
  through
• 9:42
  our
• 9:42
  data
• 9:42
  labeling,
• 9:43
  through
• 9:44
  getting
• 9:44
  actual
• 9:45
  data
• 9:46
  from
• 9:46
  consumers
• 9:46
  about
• 9:47
  the
• 9:47
  substitutions
• 9:48
  that
• 9:48
  they
• 9:48
  want,
• 9:49
  we're
• 9:49
  able
• 9:49
  to
• 9:50
  learn
• 9:50
  and
• 9:50
  run
• 9:51
  more
• 9:52
  sophisticated
• 9:52
  algorithms
• 9:53
  that
• 9:53
  surface
• 9:54
  the
• 9:54
  right
• 9:54
  substitutions
• 9:55
  at
• 9:55
  the
• 9:55
  right
• 9:55
  time
• 9:56
  for
• 9:56
  the
• 9:56
  right
• 9:56
  consumer
• 9:57
  based
• 9:57
  on
• 9:57
  their
• 9:57
  pre
• 9:58
  conferences.
• 9:58
  Yeah,
• 9:59
  that's
• 9:59
  so
• 9:59
  true,
• 10:00
  actually,
• 10:00
  because
• 10:00
  when
• 10:00
  I
• 10:00
  was
• 10:01
  placing,
• 10:01
  as
• 10:01
  I
• 10:02
  mentioned,
• 10:02
  one
• 10:02
  of
• 10:02
  my
• 10:03
  hacks
• 10:03
  for
• 10:03
  shop
• 10:04
  talk,
• 10:04
  or
• 10:04
  any
• 10:04
  conference
• 10:04
  for
• 10:05
  that
• 10:05
  matter,
• 10:05
  is
• 10:05
  having
• 10:06
  a
• 10:06
  dash
• 10:06
  pass
• 10:06
  subscription.
• 10:07
  I
• 10:08
  did
• 10:08
  notice
• 10:08
  yesterday
• 10:09
  and
• 10:09
  I
• 10:09
  typically
• 10:10
  just
• 10:10
  avoid
• 10:11
  the
• 10:11
  Substitutions
• 10:12
  and
• 10:12
  say
• 10:12
  no
• 10:13
  substitutions
• 10:13
  at
• 10:14
  all
• 10:14
  cost.
• 10:14
  Because
• 10:14
  I
• 10:15
  just.
• 10:15
  If
• 10:15
  you
• 10:15
  don't
• 10:15
  have
• 10:15
  it,
• 10:16
  I
• 10:16
  don't
• 10:16
  want
• 10:16
  it.
• 10:16
  It's
• 10:17
  not
• 10:17
  usually
• 10:17
  right.
• 10:17
  But
• 10:17
  I
• 10:18
  have
• 10:18
  to
• 10:18
  say,
• 10:19
  this
• 10:19
  time,
• 10:19
  doing
• 10:20
  this,
• 10:20
  I
• 10:21
  did
• 10:21
  go
• 10:21
  through
• 10:22
  a
• 10:22
  few
• 10:22
  items
• 10:23
  that
• 10:23
  were
• 10:23
  served
• 10:24
  up
• 10:24
  to
• 10:24
  me,
• 10:24
  like,
• 10:25
  this
• 10:25
  might
• 10:25
  be
• 10:25
  low.
• 10:26
  Do
• 10:26
  you
• 10:26
  want
• 10:26
  this
• 10:27
  item?
• 10:27
  And
• 10:27
  for
• 10:28
  the
• 10:28
  first
• 10:28
  time,
• 10:29
  it
• 10:29
  was
• 10:30
  more
• 10:30
  accurate.
• 10:31
  Like,
• 10:31
  it
• 10:32
  was
• 10:32
  actually
• 10:32
  raspberries
• 10:33
  that
• 10:33
  were
• 10:34
  maybe
• 10:34
  organic
• 10:35
  raspberries
• 10:35
  versus,
• 10:36
  like,
• 10:36
  raspberry
• 10:37
  jam
• 10:38
  or
• 10:38
  something,
• 10:38
  which.
• 10:38
  Exactly.
• 10:39
  That's
• 10:40
  just.
• 10:40
  That's.
• 10:40
  It's
• 10:41
  a
• 10:41
  testament
• 10:41
  to
• 10:41
  how
• 10:41
  you're
• 10:42
  really
• 10:42
  trying
• 10:42
  to
• 10:42
  make
• 10:43
  that
• 10:43
  shopping
• 10:44
  experience
• 10:44
  better
• 10:44
  and
• 10:44
  more
• 10:45
  reliable
• 10:45
  for
• 10:45
  me
• 10:45
  as
• 10:45
  a
• 10:46
  doordash
• 10:46
  customer.
• 10:46
  Exactly.
• 10:47
  It's
• 10:47
  all
• 10:48
  like
• 10:48
  a
• 10:48
  crawl,
• 10:48
  walk,
• 10:49
  run
• 10:49
  kind
• 10:49
  of
• 10:50
  process,
• 10:50
  similar
• 10:51
  to
• 10:51
  the
• 10:51
  origins
• 10:52
  of
• 10:52
  doordash
• 10:54
  in
• 10:54
  general,
• 10:55
  which
• 10:55
  is
• 10:55
  you
• 10:55
  start
• 10:55
  doing
• 10:56
  things,
• 10:56
  then
• 10:56
  you
• 10:56
  do
• 10:57
  them
• 10:57
  better
• 10:57
  and
• 10:57
  smarter,
• 10:58
  and
• 10:58
  you
• 10:58
  learn
• 10:58
  from
• 10:59
  your
• 10:59
  own
• 10:59
  mistakes
• 10:59
  and
• 11:00
  you
• 11:00
  learn
• 11:01
  from
• 11:01
  the
• 11:02
  data
• 11:02
  that
• 11:02
  you
• 11:02
  collect.
• 11:03
  So
• 11:03
  that's
• 11:03
  obviously
• 11:03
  my
• 11:04
  passion.
• 11:04
  And
• 11:05
  then
• 11:05
  you
• 11:05
  can
• 11:05
  get
• 11:05
  even
• 11:05
  better
• 11:06
  and
• 11:06
  really
• 11:06
  make
• 11:07
  it
• 11:07
  magical
• 11:07
  for
• 11:07
  consumers.
• 11:08
  And
• 11:08
  the
• 11:08
  technology
• 11:09
  is
• 11:09
  adapted
• 11:09
  to
• 11:09
  allow
• 11:10
  you
• 11:10
  that
• 11:11
  at
• 11:11
  a
• 11:11
  speed
• 11:11
  that
• 11:11
  makes
• 11:12
  sense,
• 11:12
  too.
• 11:12
  Right?
• 11:13
  Yeah.
• 11:13
  I
• 11:13
  would
• 11:13
  call
• 11:13
  out
• 11:13
  two
• 11:14
  things
• 11:14
  you
• 11:14
  said
• 11:14
  there,
• 11:15
  one
• 11:16
  of
• 11:16
  which
• 11:16
  is
• 11:17
  how
• 11:17
  you
• 11:17
  talked
• 11:18
  about
• 11:18
  if
• 11:18
  you've
• 11:18
  been
• 11:18
  on
• 11:19
  the
• 11:19
  platform
• 11:19
  before,
• 11:19
  it
• 11:20
  starts
• 11:20
  to
• 11:20
  know
• 11:20
  you
• 11:20
  and
• 11:20
  it
• 11:21
  knows
• 11:21
  your
• 11:21
  habits.
• 11:21
  And
• 11:21
  I
• 11:22
  think
• 11:22
  doordash
• 11:22
  does
• 11:22
  make
• 11:23
  it
• 11:23
  easier
• 11:23
  than
• 11:24
  most
• 11:24
  other
• 11:24
  platforms
• 11:25
  of,
• 11:25
  you
• 11:25
  know,
• 11:25
  me
• 11:26
  reordering
• 11:26
  the
• 11:26
  things
• 11:27
  that
• 11:27
  I've
• 11:27
  ordered
• 11:27
  before,
• 11:28
  which
• 11:28
  it
• 11:28
  makes
• 11:29
  it
• 11:29
  just
• 11:29
  so
• 11:29
  easy
• 11:29
  to
• 11:30
  use.
• 11:30
  And
• 11:30
  the
• 11:30
  second
• 11:30
  point
• 11:31
  I
• 11:31
  call
• 11:31
  out
• 11:31
  is
• 11:31
  this
• 11:32
  is
• 11:32
  the
• 11:32
  first
• 11:32
  time
• 11:32
  in
• 11:32
  history
• 11:32
  again
• 11:33
  that
• 11:33
  we've
• 11:33
  had
• 11:33
  entamins
• 11:34
  dropped
• 11:35
  on
• 11:35
  a
• 11:35
  podcast,
• 11:36
  so
• 11:36
  nicely
• 11:37
  done
• 11:37
  again.
• 11:38
  All
• 11:39
  right,
• 11:39
  so
• 11:41
  I
• 11:41
  want
• 11:41
  to
• 11:41
  ask
• 11:41
  you
• 11:41
  this
• 11:42
  question.
• 11:42
  So,
• 11:42
  Chief
• 11:42
  analytics
• 11:43
  officer,
• 11:44
  you
• 11:44
  get
• 11:44
  probably
• 11:45
  a
• 11:45
  bird's
• 11:45
  eye
• 11:45
  view
• 11:46
  into
• 11:46
  a
• 11:46
  lot
• 11:46
  more
• 11:46
  data
• 11:47
  in
• 11:47
  terms
• 11:47
  of
• 11:47
  where
• 11:47
  things
• 11:47
  are
• 11:48
  going
• 11:48
  than,
• 11:48
  say,
• 11:49
  other
• 11:49
  people.
• 11:50
  Where
• 11:50
  does
• 11:50
  that
• 11:51
  data
• 11:51
  tell
• 11:51
  you
• 11:52
  that
• 11:52
  the
• 11:52
  Omnichannel
• 11:53
  retail
• 11:54
  experience
• 11:54
  is
• 11:54
  heading
• 11:55
  next?
• 11:56
  So
• 11:56
  I
• 11:56
  think
• 11:56
  you
• 11:57
  bring
• 11:57
  up
• 11:57
  a
• 11:57
  really
• 11:57
  great
• 11:57
  sort
• 11:58
  of
• 11:58
  keyword,
• 11:58
  omnichannel.
• 11:59
  I
• 11:59
  think
• 11:59
  it's
• 12:00
  important
• 12:00
  to
• 12:00
  meet
• 12:00
  consumers
• 12:01
  where
• 12:01
  they
• 12:01
  are,
• 12:02
  whether
• 12:02
  that's
• 12:02
  online,
• 12:03
  through
• 12:03
  the
• 12:03
  doordash
• 12:03
  platform,
• 12:04
  or
• 12:04
  in
• 12:05
  store.
• 12:05
  We
• 12:06
  want
• 12:06
  to
• 12:06
  make
• 12:06
  sure
• 12:06
  that
• 12:07
  they
• 12:07
  can
• 12:07
  find
• 12:07
  what
• 12:07
  they
• 12:08
  need,
• 12:08
  when
• 12:08
  they
• 12:08
  need
• 12:08
  and
• 12:09
  how
• 12:09
  they
• 12:09
  need
• 12:09
  it.
• 12:10
  And
• 12:11
  your
• 12:11
  in
• 12:11
  store
• 12:12
  shopping
• 12:12
  behavior,
• 12:12
  being
• 12:12
  able
• 12:13
  to
• 12:13
  tie
• 12:13
  that
• 12:13
  to
• 12:14
  your
• 12:14
  digital
• 12:15
  shopping
• 12:15
  behavior
• 12:16
  is
• 12:16
  really
• 12:16
  important
• 12:17
  because
• 12:18
  it
• 12:18
  helps
• 12:18
  us
• 12:18
  to
• 12:18
  learn
• 12:19
  what
• 12:19
  your
• 12:19
  preferences
• 12:20
  are.
• 12:20
  Do
• 12:20
  you
• 12:21
  like
• 12:21
  organic
• 12:21
  raspberries
• 12:23
  or
• 12:23
  not?
• 12:24
  And
• 12:24
  so
• 12:24
  the
• 12:24
  more
• 12:24
  information
• 12:25
  we
• 12:25
  have,
• 12:26
  the
• 12:26
  better
• 12:27
  we
• 12:27
  can
• 12:29
  make
• 12:29
  the
• 12:30
  recommendations
• 12:31
  and
• 12:32
  improve
• 12:33
  the
• 12:34
  shopping
• 12:34
  experience
• 12:35
  for
• 12:35
  consumers.
• 12:35
  So
• 12:35
  I
• 12:36
  Think
• 12:36
  there's
• 12:36
  a
• 12:36
  lot
• 12:37
  more
• 12:37
  that
• 12:37
  we
• 12:37
  can
• 12:38
  do,
• 12:39
  particularly
• 12:39
  on
• 12:40
  the
• 12:40
  edges.
• 12:41
  We
• 12:41
  focus
• 12:41
  a
• 12:41
  lot
• 12:41
  on
• 12:43
  what
• 12:43
  are
• 12:43
  the
• 12:44
  most
• 12:44
  frequent
• 12:44
  queries,
• 12:45
  and
• 12:45
  you
• 12:45
  talk
• 12:46
  a
• 12:46
  lot
• 12:46
  about
• 12:46
  repeat
• 12:47
  behavior.
• 12:48
  But
• 12:48
  the
• 12:49
  hardest
• 12:49
  problem
• 12:49
  is
• 12:50
  the
• 12:50
  first
• 12:50
  time
• 12:50
  you
• 12:50
  encounter
• 12:51
  something,
• 12:51
  the
• 12:51
  first
• 12:52
  time
• 12:52
  you
• 12:52
  search
• 12:52
  for
• 12:52
  a
• 12:53
  new
• 12:53
  category
• 12:53
  or
• 12:54
  a
• 12:54
  new
• 12:54
  item.
• 12:55
  How
• 12:55
  do
• 12:55
  we
• 12:55
  get
• 12:56
  that
• 12:56
  right?
• 12:56
  How
• 12:57
  do
• 12:57
  we
• 12:57
  figure
• 12:57
  out
• 12:58
  based
• 12:58
  on
• 12:58
  consumers
• 12:59
  that
• 12:59
  look
• 12:59
  like
• 12:59
  you?
• 13:01
  Metaphorically
• 13:02
  speaking,
• 13:03
  yeah,
• 13:03
  of
• 13:04
  course.
• 13:05
  But
• 13:05
  how
• 13:05
  do
• 13:05
  we
• 13:05
  learn
• 13:06
  from
• 13:06
  consumers
• 13:06
  who
• 13:07
  have
• 13:07
  similar
• 13:07
  behaviors
• 13:08
  that
• 13:08
  you
• 13:08
  have
• 13:10
  and
• 13:10
  see
• 13:10
  what
• 13:10
  they've
• 13:11
  selected
• 13:11
  so
• 13:12
  that
• 13:12
  we
• 13:12
  can
• 13:12
  do
• 13:12
  the
• 13:12
  same
• 13:13
  and
• 13:13
  make
• 13:13
  your
• 13:13
  experience
• 13:14
  better
• 13:14
  that
• 13:14
  first
• 13:15
  time
• 13:15
  instead
• 13:16
  of
• 13:16
  having
• 13:16
  to
• 13:16
  always
• 13:16
  learn
• 13:17
  from
• 13:17
  your
• 13:18
  own
• 13:18
  behavior
• 13:18
  on
• 13:19
  the
• 13:19
  platform?
• 13:19
  Got
• 13:19
  it.
• 13:20
  We're
• 13:20
  just
• 13:20
  at
• 13:20
  the
• 13:20
  beginning.
• 13:21
  As
• 13:21
  you
• 13:21
  mentioned,
• 13:22
  the
• 13:22
  technology
• 13:22
  is
• 13:23
  developing
• 13:23
  incredibly
• 13:24
  fast,
• 13:24
  and
• 13:24
  I'm
• 13:25
  so
• 13:25
  excited
• 13:26
  about
• 13:26
  what
• 13:26
  the
• 13:26
  future
• 13:27
  will
• 13:27
  bring.
• 13:28
  There
• 13:28
  are
• 13:28
  so
• 13:28
  many
• 13:28
  challenging
• 13:29
  problems
• 13:30
  we
• 13:30
  have
• 13:30
  to
• 13:31
  solve
• 13:31
  across
• 13:32
  our
• 13:32
  three
• 13:32
  audiences,
• 13:33
  consumers,
• 13:34
  dashers
• 13:34
  and
• 13:35
  merchants
• 13:35
  across
• 13:36
  all
• 13:36
  of
• 13:36
  the
• 13:36
  verticals
• 13:37
  and
• 13:37
  items
• 13:37
  and
• 13:38
  skus
• 13:38
  that
• 13:38
  we
• 13:38
  have.
• 13:39
  It's
• 13:39
  just
• 13:40
  a
• 13:40
  really
• 13:41
  ripe
• 13:41
  environment
• 13:42
  for
• 13:42
  hard
• 13:42
  problems.
• 13:43
  And
• 13:43
  you
• 13:43
  know,
• 13:44
  as
• 13:44
  at
• 13:44
  doing
• 13:45
  what
• 13:45
  I
• 13:45
  do,
• 13:45
  I
• 13:45
  love
• 13:46
  the
• 13:46
  hard
• 13:46
  problems.
• 13:47
  Right.
• 13:47
  But
• 13:47
  so
• 13:47
  if
• 13:48
  I
• 13:48
  recap.
• 13:48
  Recap
• 13:49
  what
• 13:49
  you're
• 13:49
  saying.
• 13:49
  Basically
• 13:49
  saying
• 13:49
  on
• 13:50
  the
• 13:50
  margins,
• 13:50
  there's
• 13:50
  still
• 13:51
  just
• 13:51
  so
• 13:51
  much,
• 13:52
  so
• 13:52
  much,
• 13:53
  so
• 13:53
  many
• 13:54
  rows
• 13:54
  to
• 13:54
  be
• 13:54
  hoed,
• 13:55
  so
• 13:55
  to
• 13:55
  speak,
• 13:55
  on
• 13:56
  just
• 13:56
  improving
• 13:56
  the
• 13:56
  personalization
• 13:57
  for
• 13:57
  the
• 13:57
  returning
• 13:58
  shopper
• 13:58
  as
• 13:58
  well
• 13:58
  as
• 13:59
  the
• 13:59
  new
• 13:59
  shopper.
• 14:00
  Exactly.
• 14:02
  Okay,
• 14:02
  well,
• 14:02
  Jessica,
• 14:03
  because
• 14:03
  we
• 14:04
  have
• 14:04
  you
• 14:04
  here,
• 14:05
  I
• 14:05
  want
• 14:05
  to
• 14:05
  close
• 14:06
  with
• 14:06
  any
• 14:06
  advice
• 14:07
  that
• 14:07
  you
• 14:07
  have
• 14:08
  for
• 14:08
  any
• 14:08
  of
• 14:08
  our
• 14:08
  retailers
• 14:09
  and
• 14:09
  brands
• 14:10
  listening
• 14:10
  at
• 14:10
  home
• 14:11
  or
• 14:11
  from
• 14:11
  the
• 14:11
  show,
• 14:12
  whether
• 14:13
  that's
• 14:13
  advice
• 14:13
  on
• 14:14
  how
• 14:14
  to
• 14:14
  attack
• 14:15
  unified
• 14:15
  commerce
• 14:16
  going
• 14:16
  into
• 14:16
  the
• 14:17
  year
• 14:17
  ahead
• 14:17
  to
• 14:18
  survive
• 14:18
  a
• 14:18
  startup
• 14:19
  as
• 14:20
  one
• 14:20
  of
• 14:20
  the
• 14:20
  first
• 14:21
  20
• 14:21
  people
• 14:21
  before
• 14:22
  20,000
• 14:23
  employees
• 14:23
  start.
• 14:24
  What.
• 14:25
  What
• 14:25
  knowledge
• 14:26
  can
• 14:26
  you
• 14:26
  share,
• 14:26
  impart
• 14:27
  on
• 14:27
  our
• 14:27
  audience?
• 14:28
  Oh,
• 14:28
  wow.
• 14:28
  That's
• 14:29
  a
• 14:29
  tough
• 14:29
  question.
• 14:30
  I
• 14:30
  think.
• 14:30
  So
• 14:31
  I'm
• 14:31
  going
• 14:31
  to,
• 14:31
  because
• 14:32
  of
• 14:32
  my
• 14:32
  role
• 14:32
  and
• 14:32
  because
• 14:33
  I
• 14:33
  am
• 14:33
  the
• 14:33
  first
• 14:34
  chief
• 14:34
  analytics
• 14:35
  officer
• 14:35
  that
• 14:35
  you
• 14:36
  have
• 14:37
  interviewed
• 14:37
  on
• 14:38
  your
• 14:38
  podcast.
• 14:38
  I'm
• 14:39
  going
• 14:39
  to
• 14:39
  go.
• 14:39
  I'm
• 14:40
  going
• 14:40
  to
• 14:40
  go
• 14:40
  with
• 14:40
  the
• 14:40
  analytics
• 14:40
  base,
• 14:41
  which
• 14:41
  is
• 14:41
  one
• 14:42
  you
• 14:42
  should
• 14:42
  have
• 14:42
  an
• 14:42
  analytics
• 14:43
  team
• 14:44
  and
• 14:44
  that
• 14:44
  you
• 14:44
  should
• 14:45
  measure
• 14:45
  as
• 14:45
  much
• 14:45
  as
• 14:46
  possible,
• 14:46
  because
• 14:47
  having
• 14:47
  that
• 14:47
  information
• 14:48
  is
• 14:49
  really
• 14:49
  the
• 14:49
  foundation
• 14:50
  on
• 14:50
  which
• 14:51
  so
• 14:51
  much
• 14:51
  can
• 14:52
  be
• 14:52
  built.
• 14:52
  Whether
• 14:52
  that's
• 14:53
  tracking
• 14:53
  the
• 14:53
  right
• 14:54
  metrics
• 14:54
  for
• 14:54
  your
• 14:54
  business
• 14:55
  so
• 14:55
  that
• 14:55
  you
• 14:55
  can
• 14:55
  hold
• 14:55
  yourself
• 14:56
  accountable
• 14:56
  to
• 14:57
  hitting
• 14:57
  your
• 14:57
  goals
• 14:58
  and
• 14:58
  pivot
• 14:58
  when
• 14:59
  necessary
• 14:59
  when
• 14:59
  things
• 15:00
  aren't
• 15:00
  working
• 15:00
  out
• 15:01
  so
• 15:01
  that
• 15:01
  you
• 15:01
  can
• 15:01
  understand
• 15:01
  if
• 15:02
  the
• 15:02
  things
• 15:02
  that
• 15:02
  you're
• 15:03
  shipping
• 15:03
  to
• 15:04
  consumers
• 15:04
  or
• 15:05
  the
• 15:05
  business
• 15:05
  decisions,
• 15:05
  decisions
• 15:06
  you're
• 15:06
  making
• 15:07
  have
• 15:07
  the
• 15:08
  desired
• 15:09
  effect
• 15:09
  to
• 15:09
  solve
• 15:09
  the
• 15:10
  root
• 15:10
  problem
• 15:11
  for
• 15:11
  your
• 15:12
  customer,
• 15:12
  which
• 15:12
  is
• 15:13
  Ultimately,
• 15:13
  what
• 15:13
  you're
• 15:14
  trying
• 15:14
  to
• 15:14
  do
• 15:15
  or
• 15:15
  to
• 15:15
  build
• 15:16
  these
• 15:16
  new
• 15:16
  AI
• 15:17
  models
• 15:17
  on
• 15:18
  top
• 15:18
  of,
• 15:18
  you
• 15:18
  need
• 15:18
  that
• 15:19
  data
• 15:19
  foundation,
• 15:20
  or
• 15:20
  the
• 15:21
  models
• 15:21
  aren't
• 15:21
  going
• 15:21
  to
• 15:22
  be
• 15:22
  that
• 15:22
  great.
• 15:22
  So
• 15:23
  I
• 15:23
  think
• 15:23
  it
• 15:23
  all
• 15:23
  comes
• 15:24
  down
• 15:24
  to
• 15:24
  thinking
• 15:24
  about
• 15:25
  analytics,
• 15:25
  thinking
• 15:26
  about
• 15:26
  data
• 15:26
  and
• 15:27
  being
• 15:27
  really
• 15:27
  intentional
• 15:28
  with
• 15:28
  your
• 15:29
  strategy
• 15:30
  and
• 15:31
  making
• 15:31
  sure
• 15:31
  that
• 15:31
  you
• 15:31
  open
• 15:32
  a
• 15:32
  seat
• 15:32
  at
• 15:32
  the
• 15:32
  table
• 15:33
  for
• 15:33
  whoever
• 15:34
  you
• 15:34
  have
• 15:34
  on
• 15:34
  the
• 15:34
  analytics
• 15:35
  team
• 15:35
  to
• 15:35
  help
• 15:36
  make
• 15:36
  those
• 15:36
  better
• 15:37
  business
• 15:37
  decisions
• 15:38
  and
• 15:38
  help
• 15:38
  you
• 15:38
  make
• 15:38
  them
• 15:38
  more
• 15:39
  quickly.
• 15:39
  So
• 15:40
  I
• 15:40
  just
• 15:40
  sort
• 15:40
  of
• 15:40
  advocate
• 15:41
  for
• 15:41
  all
• 15:42
  the
• 15:42
  analytics
• 15:42
  folks
• 15:42
  out
• 15:43
  there
• 15:43
  who
• 15:43
  have
• 15:43
  great
• 15:43
  ideas
• 15:44
  that
• 15:44
  want
• 15:44
  to
• 15:44
  be
• 15:44
  heard.
• 15:45
  Well,
• 15:45
  help
• 15:45
  uncover
• 15:45
  the
• 15:46
  questions
• 15:46
  or
• 15:46
  the.
• 15:47
  Problems
• 15:47
  that
• 15:47
  you're
• 15:47
  trying
• 15:48
  to
• 15:48
  solve
• 15:48
  before.
• 15:48
  You
• 15:48
  throw
• 15:49
  teams
• 15:49
  or
• 15:49
  technology
• 15:50
  at
• 15:50
  them.
• 15:51
  Absolutely.
• 15:52
  Okay.
• 15:53
  Well,
• 15:54
  I
• 15:54
  don't
• 15:54
  know.
• 15:54
  That's
• 15:54
  awesome.
• 15:55
  I
• 15:55
  don't
• 15:55
  know
• 15:55
  if
• 15:55
  there's
• 15:55
  anything
• 15:56
  more
• 15:56
  to
• 15:56
  say
• 15:56
  after
• 15:57
  that.
• 15:58
  Thank
• 15:58
  you
• 15:58
  so
• 15:59
  much,
• 15:59
  Jessica,
• 16:00
  for
• 16:00
  your
• 16:00
  time
• 16:00
  today,
• 16:01
  for
• 16:01
  sharing
• 16:01
  your
• 16:02
  wisdom
• 16:02
  with
• 16:02
  all
• 16:03
  of
• 16:03
  our
• 16:03
  Omnitalk
• 16:03
  audience.
• 16:04
  Thank
• 16:04
  you.
• 16:05
  Finally
• 16:05
  again,
• 16:05
  to
• 16:05
  Meta
• 16:06
  once
• 16:06
  more.
• 16:07
  We
• 16:07
  really
• 16:07
  appreciate
• 16:08
  your
• 16:08
  support
• 16:08
  of
• 16:09
  our
• 16:09
  Omnich
• 16:09
  coverage.
• 16:10
  Chris,
• 16:11
  anything
• 16:11
  you
• 16:12
  want
• 16:12
  to
• 16:12
  say
• 16:12
  before
• 16:12
  we
• 16:13
  wrap
• 16:13
  up
• 16:13
  day
• 16:13
  two?
• 16:14
  No,
• 16:14
  but
• 16:14
  I'm
• 16:14
  going
• 16:14
  to
• 16:14
  be
• 16:15
  the
• 16:15
  first
• 16:15
  subscriber
• 16:15
  to
• 16:16
  Life
• 16:16
  Hacks
• 16:16
  with
• 16:17
  Lax,
• 16:17
  I
• 16:17
  think,
• 16:17
  Ann.
• 16:18
  So
• 16:19
  maybe
• 16:19
  we
• 16:19
  can
• 16:19
  convince
• 16:19
  her
• 16:20
  to
• 16:20
  come
• 16:20
  under
• 16:20
  the
• 16:20
  Omnitok
• 16:21
  umbrella.
• 16:24
  Coming
• 16:24
  to
• 16:25
  a
• 16:25
  podcast
• 16:25
  network.
• 16:26
  Yeah,
• 16:26
  right.
• 16:27
  The
• 16:27
  Omnitalk
• 16:27
  podcast
• 16:28
  network.
• 16:28
  All
• 16:28
  right.
• 16:28
  But
• 16:28
  until
• 16:29
  next
• 16:29
  time,
• 16:29
  be
• 16:30
  careful
• 16:30
  out
• 16:30
  there.