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Fast Five Shorts | Buy Or Sell: Levi’s Claim That Data Helped It Capitalize On The Baggy Jeans Trend · Omni Talk Retail

• 0:00
  Levi's
• 0:00
  reportedly
• 0:01
  crunched
• 0:01
  the
• 0:01
  data
• 0:02
  to
• 0:02
  jump
• 0:02
  on
• 0:02
  the
• 0:03
  baggy
• 0:03
  jeans
• 0:03
  trend.
• 0:04
  According
• 0:04
  to
• 0:04
  the
• 0:04
  Wall
• 0:04
  street
• 0:05
  journal,
• 0:05
  in
• 0:05
  2020,
• 0:06
  Levi
• 0:07
  signed
• 0:07
  a
• 0:07
  deal
• 0:07
  with
• 0:07
  Google
• 0:08
  Cloud
• 0:08
  and
• 0:08
  began
• 0:09
  gathering
• 0:09
  data
• 0:10
  points
• 0:10
  from
• 0:10
  purchases,
• 0:11
  web
• 0:11
  browsing,
• 0:12
  retail
• 0:12
  partner
• 0:13
  sales
• 0:13
  and
• 0:13
  its
• 0:14
  loyalty
• 0:14
  program
• 0:14
  into
• 0:15
  a
• 0:15
  Google
• 0:15
  database
• 0:16
  and
• 0:16
  running
• 0:16
  daily
• 0:17
  machine
• 0:17
  learning
• 0:17
  algorithms
• 0:18
  designed
• 0:19
  to
• 0:19
  identify
• 0:19
  and
• 0:19
  predict
• 0:20
  purchase
• 0:20
  trends.
• 0:21
  Jesus
• 0:22
  Christ.
• 0:22
  And
• 0:23
  how
• 0:23
  many.
• 0:23
  How
• 0:24
  many
• 0:24
  buzzwords
• 0:24
  were
• 0:25
  in
• 0:25
  that
• 0:25
  last
• 0:25
  sentence?
• 0:26
  A
• 0:26
  lot.
• 0:26
  For
• 0:26
  the
• 0:26
  last
• 0:27
  time,
• 0:27
  Levi's
• 0:28
  chief
• 0:28
  Digital.
• 0:29
  For
• 0:29
  the
• 0:29
  first
• 0:29
  time.
• 0:29
  Not
• 0:30
  the
• 0:30
  last
• 0:30
  time,
• 0:30
  man.
• 0:30
  The.
• 0:30
  For
• 0:31
  the
• 0:31
  first
• 0:31
  time,
• 0:32
  Levi's
• 0:32
  Chief
• 0:32
  Digital
• 0:33
  Officer
• 0:33
  Jason
• 0:33
  Gowins
• 0:34
  told
• 0:34
  the
• 0:34
  Journal,
• 0:35
  Levi's
• 0:35
  was
• 0:35
  able
• 0:36
  to
• 0:36
  continuously
• 0:36
  pull
• 0:37
  together
• 0:37
  data
• 0:37
  from
• 0:38
  110
• 0:39
  countries,
• 0:39
  not
• 0:39
  100
• 0:39
  and
• 0:40
  110
• 0:41
  countries,
• 0:41
  and
• 0:42
  50,000
• 0:43
  points
• 0:43
  of
• 0:44
  distribution,
• 0:44
  only
• 0:45
  1100
• 0:46
  of
• 0:46
  which
• 0:47
  were
• 0:47
  Levi's
• 0:48
  own
• 0:48
  stores.
• 0:49
  Hmm.
• 0:49
  As
• 0:50
  a
• 0:50
  result,
• 0:50
  the
• 0:50
  new
• 0:50
  data
• 0:51
  system
• 0:51
  helped
• 0:51
  the
• 0:51
  company
• 0:52
  understand
• 0:52
  that
• 0:53
  Baggy
• 0:53
  and
• 0:53
  Loose
• 0:54
  silhouettes
• 0:55
  weren't
• 0:55
  just
• 0:55
  for
• 0:55
  the
• 0:55
  TikTok
• 0:56
  generation.
• 0:57
  They
• 0:57
  were
• 0:57
  for
• 0:57
  everyone.
• 0:58
  As
• 0:58
  a
• 0:58
  result,
• 0:59
  Levi's
• 0:59
  dove
• 1:00
  into
• 1:00
  marketing
• 1:00
  campaigns
• 1:01
  like
• 1:01
  Live
• 1:02
  Loose,
• 1:02
  got
• 1:02
  to
• 1:02
  like
• 1:03
  that
• 1:03
  campaign,
• 1:03
  and
• 1:04
  began
• 1:04
  evangelizing
• 1:05
  on
• 1:05
  the
• 1:05
  trendiness
• 1:06
  of
• 1:06
  roomier
• 1:07
  fits
• 1:08
  to
• 1:08
  its
• 1:08
  retail
• 1:09
  partners.
• 1:09
  And
• 1:10
  yes,
• 1:11
  are
• 1:11
  you
• 1:11
  buying
• 1:12
  or
• 1:12
  selling
• 1:12
  the
• 1:13
  impact
• 1:13
  of
• 1:13
  data
• 1:14
  that
• 1:14
  Levi's
• 1:15
  claims
• 1:15
  it
• 1:15
  has
• 1:15
  had
• 1:16
  on
• 1:16
  its
• 1:16
  business?
• 1:17
  My
• 1:18
  God,
• 1:18
  there's
• 1:18
  so
• 1:18
  many
• 1:18
  merchandising
• 1:19
  questions
• 1:20
  in
• 1:20
  this.
• 1:20
  I
• 1:20
  feel
• 1:20
  like
• 1:21
  I'm
• 1:21
  just
• 1:21
  getting
• 1:21
  slaughtered
• 1:22
  and
• 1:22
  they're
• 1:22
  going
• 1:22
  right
• 1:22
  to
• 1:22
  me.
• 1:23
  So
• 1:23
  I'm
• 1:24
  interested
• 1:25
  to
• 1:25
  hear
• 1:25
  where
• 1:25
  you
• 1:25
  land
• 1:26
  on
• 1:26
  this,
• 1:26
  Chris.
• 1:26
  But.
• 1:26
  But
• 1:27
  look,
• 1:27
  I'm
• 1:28
  buying
• 1:28
  because
• 1:29
  the
• 1:29
  price
• 1:29
  is
• 1:29
  low.
• 1:29
  You're
• 1:30
  buying.
• 1:30
  I'm
• 1:31
  buying
• 1:31
  because
• 1:31
  the
• 1:31
  price
• 1:31
  is
• 1:32
  low.
• 1:32
  And
• 1:32
  things
• 1:32
  can
• 1:33
  only
• 1:33
  go
• 1:33
  up
• 1:33
  from
• 1:33
  here.
• 1:34
  Not
• 1:34
  because
• 1:34
  I
• 1:35
  think
• 1:35
  this
• 1:35
  baggy
• 1:35
  jeans
• 1:36
  example
• 1:37
  is
• 1:37
  like
• 1:37
  the
• 1:37
  case
• 1:37
  study
• 1:38
  I
• 1:38
  would
• 1:38
  choose
• 1:39
  to
• 1:39
  represent
• 1:40
  investing
• 1:41
  in
• 1:41
  this
• 1:41
  kind
• 1:41
  of
• 1:41
  data.
• 1:42
  But
• 1:42
  I
• 1:43
  think
• 1:43
  you
• 1:43
  and
• 1:43
  I
• 1:43
  have
• 1:44
  heard
• 1:44
  repeatedly
• 1:44
  over
• 1:45
  the
• 1:45
  course
• 1:45
  of
• 1:45
  the
• 1:45
  last
• 1:45
  several
• 1:46
  weeks
• 1:46
  at
• 1:46
  all
• 1:46
  these
• 1:46
  conferences
• 1:47
  that
• 1:47
  the
• 1:47
  number
• 1:47
  one
• 1:47
  thing
• 1:47
  that
• 1:48
  the
• 1:48
  retail
• 1:48
  CEOs
• 1:49
  and
• 1:49
  executives
• 1:50
  that
• 1:50
  we've
• 1:50
  been
• 1:50
  interviewing
• 1:51
  have
• 1:51
  been
• 1:51
  saying
• 1:52
  that
• 1:52
  they're
• 1:52
  investing
• 1:53
  in
• 1:53
  is
• 1:54
  data
• 1:54
  to
• 1:54
  support
• 1:55
  decision
• 1:55
  making
• 1:56
  for
• 1:56
  them,
• 1:56
  including
• 1:56
  in
• 1:57
  merchandising
• 1:57
  scenarios.
• 1:58
  I
• 1:58
  think
• 1:59
  you
• 1:59
  also
• 1:59
  have
• 2:00
  to
• 2:00
  be
• 2:00
  investing
• 2:00
  in
• 2:00
  AI
• 2:01
  tools
• 2:01
  to
• 2:02
  kind
• 2:02
  of
• 2:02
  aggregate
• 2:02
  this
• 2:02
  data
• 2:03
  to
• 2:03
  really
• 2:04
  bring
• 2:04
  that
• 2:05
  to
• 2:05
  something
• 2:05
  that
• 2:06
  the
• 2:06
  buying
• 2:06
  and
• 2:06
  merchandising
• 2:07
  teams
• 2:07
  at
• 2:08
  Levi's
• 2:08
  in
• 2:08
  this
• 2:09
  case,
• 2:09
  can
• 2:10
  really
• 2:10
  utilize
• 2:11
  and
• 2:11
  help
• 2:12
  inform
• 2:12
  some
• 2:12
  of
• 2:13
  the
• 2:13
  decisions
• 2:13
  they're
• 2:13
  making.
• 2:14
  But
• 2:14
  much
• 2:14
  like
• 2:15
  the
• 2:15
  Walmart
• 2:16
  story
• 2:16
  that
• 2:16
  we
• 2:16
  were
• 2:16
  talking
• 2:17
  about
• 2:17
  earlier
• 2:17
  within
• 2:17
  home
• 2:18
  testing,
• 2:18
  I
• 2:18
  still
• 2:19
  think
• 2:19
  that
• 2:19
  that's
• 2:20
  going
• 2:20
  to
• 2:20
  be
• 2:20
  the
• 2:20
  thing
• 2:21
  that
• 2:21
  you
• 2:21
  have
• 2:21
  to
• 2:21
  invest
• 2:22
  in,
• 2:22
  but
• 2:22
  you
• 2:22
  still
• 2:22
  need
• 2:23
  this.
• 2:23
  The
• 2:23
  art
• 2:24
  of
• 2:24
  the
• 2:24
  Merchandising
• 2:25
  here,
• 2:25
  like,
• 2:25
  you
• 2:25
  still
• 2:26
  need.
• 2:26
  A
• 2:26
  good
• 2:26
  merchant
• 2:27
  would
• 2:27
  know
• 2:27
  that
• 2:27
  the
• 2:27
  baggage
• 2:28
  jeans
• 2:28
  trend
• 2:28
  is
• 2:29
  coming.
• 2:29
  A
• 2:29
  good
• 2:30
  merchant
• 2:30
  understands
• 2:31
  that.
• 2:31
  But
• 2:32
  I
• 2:32
  think
• 2:32
  what's
• 2:32
  cool
• 2:33
  about
• 2:33
  this
• 2:33
  is
• 2:33
  that
• 2:34
  I
• 2:34
  think
• 2:34
  you
• 2:34
  start
• 2:34
  to
• 2:35
  position
• 2:35
  Levi's
• 2:36
  in
• 2:36
  a
• 2:37
  more
• 2:37
  competitive
• 2:37
  space
• 2:38
  against
• 2:38
  some
• 2:38
  of
• 2:38
  the
• 2:39
  fast
• 2:39
  fashion
• 2:40
  players
• 2:40
  out
• 2:40
  there,
• 2:41
  like
• 2:41
  Shein
• 2:41
  and
• 2:41
  Timu,
• 2:42
  who
• 2:42
  are
• 2:42
  taking
• 2:42
  aggregated
• 2:43
  data
• 2:44
  on
• 2:44
  their
• 2:44
  platforms.
• 2:45
  How
• 2:45
  much
• 2:45
  time,
• 2:46
  like,
• 2:46
  what
• 2:46
  people
• 2:46
  are
• 2:46
  searching,
• 2:47
  how
• 2:47
  much
• 2:47
  time
• 2:47
  they're
• 2:48
  spending
• 2:48
  engaging
• 2:48
  with,
• 2:49
  you
• 2:49
  know,
• 2:49
  games
• 2:50
  or,
• 2:51
  or
• 2:51
  shopping
• 2:51
  experiences
• 2:52
  for
• 2:52
  certain
• 2:53
  products
• 2:53
  in
• 2:53
  the
• 2:53
  app
• 2:53
  and
• 2:54
  then
• 2:54
  using
• 2:54
  that
• 2:54
  data
• 2:54
  to
• 2:55
  determine
• 2:55
  how
• 2:55
  much
• 2:55
  of
• 2:55
  products
• 2:56
  they
• 2:56
  make,
• 2:56
  what
• 2:57
  trends
• 2:57
  are
• 2:57
  kind
• 2:57
  of
• 2:57
  coming
• 2:58
  down
• 2:58
  the
• 2:58
  pipeline.
• 2:59
  I
• 2:59
  think
• 3:00
  there's,
• 3:00
  there's
• 3:01
  a
• 3:01
  use
• 3:01
  case
• 3:01
  for
• 3:02
  this.
• 3:02
  I
• 3:02
  think
• 3:02
  this
• 3:03
  is
• 3:03
  just
• 3:03
  an
• 3:03
  early
• 3:03
  stage
• 3:04
  and
• 3:04
  maybe
• 3:04
  not
• 3:04
  the
• 3:04
  best
• 3:05
  example
• 3:05
  for
• 3:05
  it,
• 3:06
  but
• 3:06
  I
• 3:07
  have
• 3:07
  a
• 3:07
  feeling
• 3:07
  that
• 3:08
  you're
• 3:08
  going
• 3:08
  to,
• 3:08
  you're
• 3:09
  going
• 3:09
  to
• 3:09
  take
• 3:09
  this
• 3:09
  in
• 3:09
  a
• 3:09
  completely
• 3:10
  different
• 3:10
  direction.
• 3:11
  Chris.
• 3:13
  Well,
• 3:14
  you're
• 3:14
  not
• 3:14
  buying.
• 3:14
  You're
• 3:15
  not
• 3:15
  buying.
• 3:15
  I
• 3:15
  got
• 3:15
  to
• 3:15
  tell
• 3:16
  you,
• 3:16
  you
• 3:16
  know
• 3:17
  me
• 3:17
  really,
• 3:17
  really
• 3:18
  well
• 3:18
  at
• 3:18
  this
• 3:18
  point.
• 3:19
  You
• 3:19
  could
• 3:19
  probably
• 3:19
  tell
• 3:19
  from
• 3:19
  how
• 3:20
  I
• 3:20
  did
• 3:20
  the.
• 3:20
  I'm,
• 3:21
  I'm.
• 3:21
  No,
• 3:21
  I'm
• 3:21
  not
• 3:21
  buying
• 3:21
  this.
• 3:22
  I'm
• 3:22
  selling
• 3:22
  this
• 3:22
  hard.
• 3:23
  In
• 3:23
  fact,
• 3:23
  like,
• 3:23
  I
• 3:24
  think
• 3:24
  back,
• 3:24
  this
• 3:24
  is
• 3:24
  like,
• 3:25
  why,
• 3:25
  why
• 3:25
  I
• 3:26
  personally
• 3:26
  got
• 3:26
  into
• 3:26
  the
• 3:27
  business
• 3:27
  that
• 3:27
  we're
• 3:27
  in
• 3:27
  is,
• 3:28
  is
• 3:28
  to
• 3:28
  call,
• 3:29
  call
• 3:29
  PS
• 3:30
  on
• 3:30
  headlines
• 3:30
  like
• 3:30
  this.
• 3:31
  I'm.
• 3:31
  I'm
• 3:31
  selling
• 3:31
  this
• 3:31
  so
• 3:32
  hard.
• 3:33
  This,
• 3:33
  this
• 3:33
  story
• 3:33
  to
• 3:34
  me
• 3:34
  is
• 3:34
  an
• 3:34
  example
• 3:35
  of
• 3:35
  claiming
• 3:36
  text
• 3:37
  impact
• 3:37
  for
• 3:38
  something
• 3:38
  that
• 3:38
  lines
• 3:38
  up
• 3:39
  after
• 3:39
  the
• 3:39
  fact,
• 3:40
  after
• 3:40
  it's
• 3:40
  happened.
• 3:40
  Okay,
• 3:41
  the
• 3:41
  begging.
• 3:42
  You're
• 3:43
  just
• 3:43
  doing
• 3:43
  this
• 3:44
  on
• 3:44
  Levi,
• 3:44
  like,
• 3:44
  for
• 3:45
  this
• 3:45
  Levi's.
• 3:45
  Yeah,
• 3:46
  on
• 3:46
  the
• 3:46
  claim,
• 3:46
  on
• 3:46
  the
• 3:47
  claim
• 3:47
  that
• 3:47
  Levi's
• 3:48
  is
• 3:48
  attributing
• 3:48
  their
• 3:49
  success
• 3:49
  on
• 3:49
  the
• 3:49
  baggy
• 3:50
  jeans
• 3:50
  trend
• 3:50
  to
• 3:50
  their
• 3:51
  partnership
• 3:51
  with
• 3:51
  Google
• 3:51
  Cloud.
• 3:52
  I
• 3:52
  just
• 3:52
  think
• 3:52
  it's
• 3:52
  total
• 3:53
  baloney.
• 3:53
  I
• 3:53
  mean,
• 3:54
  and
• 3:54
  seriously,
• 3:54
  the
• 3:54
  baggy
• 3:55
  jeans
• 3:55
  trend,
• 3:55
  you
• 3:56
  didn't
• 3:56
  see
• 3:56
  that
• 3:56
  coming?
• 3:57
  I
• 3:57
  saw
• 3:58
  that
• 3:58
  coming.
• 3:58
  You
• 3:59
  know,
• 3:59
  like,
• 3:59
  I
• 3:59
  mean,
• 4:00
  and
• 4:00
  you're
• 4:00
  telling
• 4:01
  me,
• 4:01
  like,
• 4:01
  you
• 4:01
  even
• 4:01
  mentioned
• 4:02
  all
• 4:02
  the
• 4:02
  fashion
• 4:02
  merchants
• 4:03
  at
• 4:03
  Levi's
• 4:04
  went
• 4:04
  to
• 4:04
  data
• 4:04
  from
• 4:05
  Google
• 4:05
  Cloud
• 4:05
  to
• 4:06
  tell
• 4:06
  them
• 4:06
  that
• 4:06
  baggy
• 4:06
  jeans
• 4:07
  trend
• 4:07
  was
• 4:07
  calming.
• 4:08
  Come
• 4:09
  on,
• 4:09
  I
• 4:09
  wasn't
• 4:10
  born
• 4:10
  yesterday.
• 4:11
  And,
• 4:12
  and,
• 4:12
  and,
• 4:13
  but,
• 4:13
  you
• 4:13
  know,
• 4:14
  my
• 4:14
  last,
• 4:14
  I'd
• 4:14
  say
• 4:14
  is,
• 4:15
  good
• 4:15
  job
• 4:15
  by
• 4:15
  you,
• 4:16
  Jason
• 4:16
  Gowans,
• 4:16
  for
• 4:16
  trying
• 4:17
  to
• 4:17
  make
• 4:17
  Levi's
• 4:17
  sound
• 4:18
  much
• 4:18
  cooler
• 4:18
  from
• 4:18
  a
• 4:19
  tech
• 4:19
  standpoint
• 4:19
  than
• 4:19
  it
• 4:20
  probably
• 4:20
  is.
• 4:20
  And,
• 4:20
  and
• 4:20
  for
• 4:21
  my
• 4:21
  friends
• 4:21
  there,
• 4:21
  like,
• 4:22
  I've
• 4:22
  heard
• 4:22
  very,
• 4:23
  very
• 4:23
  different
• 4:24
  varying
• 4:25
  degrees
• 4:25
  of
• 4:26
  how,
• 4:26
  how
• 4:27
  tech
• 4:28
  forward
• 4:28
  Levi's
• 4:29
  is
• 4:29
  and
• 4:29
  how,
• 4:29
  and
• 4:30
  how
• 4:30
  much
• 4:30
  they
• 4:30
  struggle
• 4:31
  on
• 4:31
  the
• 4:31
  tech
• 4:31
  side
• 4:31
  of
• 4:31
  things.
• 4:32
  So,
• 4:32
  so
• 4:32
  maybe
• 4:33
  so.
• 4:33
  I,
• 4:33
  I
• 4:33
  just
• 4:33
  think
• 4:34
  this
• 4:34
  is
• 4:34
  taking
• 4:34
  a
• 4:34
  victory
• 4:35
  lap
• 4:35
  for
• 4:35
  something
• 4:35
  that
• 4:36
  is
• 4:36
  just
• 4:36
  nicely
• 4:37
  correlated
• 4:37
  with
• 4:37
  your
• 4:38
  sales
• 4:38
  performance.
• 4:38
  That's
• 4:39
  what
• 4:39
  I'd
• 4:39
  say.
• 4:39
  So.
• 4:40
  So
• 4:40
  to
• 4:40
  clarify,
• 4:41
  then,
• 4:41
  I
• 4:42
  think
• 4:42
  so
• 4:42
  you're
• 4:42
  saying
• 4:43
  you're
• 4:43
  selling
• 4:44
  the,
• 4:45
  the
• 4:45
  claim
• 4:45
  that
• 4:45
  Levi's
• 4:46
  is
• 4:46
  making.
• 4:46
  You're
• 4:47
  not
• 4:47
  selling
• 4:47
  the
• 4:47
  idea
• 4:48
  that
• 4:48
  companies
• 4:49
  should
• 4:49
  be
• 4:49
  investing
• 4:49
  in
• 4:50
  this
• 4:50
  type
• 4:50
  of
• 4:50
  technology
• 4:51
  to
• 4:51
  aggregate
• 4:52
  data
• 4:52
  to
• 4:53
  supply
• 4:53
  their
• 4:53
  merchants
• 4:54
  with,
• 4:54
  and
• 4:54
  that
• 4:54
  there
• 4:54
  could
• 4:54
  be
• 4:55
  a
• 4:55
  positive
• 4:55
  outcome
• 4:56
  from
• 4:56
  that?
• 4:57
  Yes.
• 4:58
  Right?
• 4:58
  Yes.
• 4:58
  A
• 4:58
  hundred
• 4:58
  percent.
• 4:59
  Yes.
• 4:59
  Okay,
• 5:00
  here's.
• 5:00
  I
• 5:00
  think
• 5:00
  we're
• 5:00
  on
• 5:01
  the
• 5:01
  same
• 5:01
  page.
• 5:01
  I
• 5:02
  think
• 5:02
  we're
• 5:02
  on
• 5:02
  the
• 5:02
  same
• 5:02
  page.
• 5:03
  Yes.
• 5:03
  Here's
• 5:03
  how
• 5:03
  I'm
• 5:04
  guessing
• 5:04
  this
• 5:04
  conversation
• 5:05
  actually
• 5:05
  went
• 5:05
  down.
• 5:05
  If
• 5:06
  I
• 5:06
  had,
• 5:06
  if
• 5:06
  I
• 5:06
  had,
• 5:07
  you
• 5:07
  know,
• 5:07
  a
• 5:07
  bird's
• 5:08
  eye
• 5:08
  view
• 5:08
  in
• 5:08
  a
• 5:08
  Macy's,
• 5:09
  if
• 5:09
  I
• 5:09
  was
• 5:09
  a
• 5:09
  fly
• 5:09
  in
• 5:09
  the
• 5:09
  wall
• 5:10
  or
• 5:10
  not
• 5:10
  Macy's
• 5:10
  in
• 5:11
  Levi's,
• 5:11
  if
• 5:11
  I
• 5:11
  was
• 5:11
  a
• 5:11
  fly
• 5:12
  on
• 5:12
  the
• 5:12
  wall
• 5:12
  in
• 5:12
  Levi's,
• 5:13
  like
• 5:13
  the
• 5:14
  fast.
• 5:14
  The,
• 5:14
  the,
• 5:15
  the
• 5:15
  merchants
• 5:15
  are
• 5:16
  like
• 5:16
  doing
• 5:16
  their
• 5:16
  line
• 5:16
  review.
• 5:16
  They're
• 5:17
  like,
• 5:17
  biggie
• 5:17
  Baggy
• 5:18
  Jeans
• 5:18
  is
• 5:18
  going
• 5:18
  to
• 5:18
  be
• 5:18
  the
• 5:18
  trend
• 5:19
  this
• 5:19
  year.
• 5:19
  We're
• 5:19
  going
• 5:19
  to
• 5:19
  buy
• 5:19
  into
• 5:20
  it
• 5:20
  big.
• 5:20
  And
• 5:20
  then
• 5:21
  some
• 5:21
  computer
• 5:21
  walk
• 5:22
  in
• 5:22
  the
• 5:22
  sides
• 5:22
  like,
• 5:22
  yep,
• 5:23
  our
• 5:23
  data
• 5:23
  says
• 5:23
  that,
• 5:23
  that,
• 5:24
  let's
• 5:24
  do
• 5:24
  that.
• 5:24
  And
• 5:24
  then
• 5:25
  they're
• 5:25
  like,
• 5:25
  okay,
• 5:25
  fine,
• 5:25
  yeah,
• 5:26
  let's
• 5:26
  take
• 5:26
  credit
• 5:26
  for
• 5:26
  it.
• 5:27
  That's
• 5:27
  how
• 5:27
  it
• 5:27
  works.
• 5:27
  You
• 5:28
  know
• 5:28
  that.
• 5:28
  Well,
• 5:28
  that's.
• 5:29
  That's
• 5:29
  a
• 5:29
  funny
• 5:30
  thing
• 5:30
  about
• 5:30
  retail.
• 5:31
  I
• 5:31
  mean,
• 5:31
  there's
• 5:31
  there's
• 5:32
  only
• 5:32
  still
• 5:32
  so
• 5:33
  much
• 5:33
  art
• 5:33
  and
• 5:33
  sci,
• 5:34
  you
• 5:34
  know,
• 5:34
  so
• 5:35
  much
• 5:35
  science
• 5:35
  that
• 5:35
  goes
• 5:36
  into
• 5:36
  the
• 5:36
  art
• 5:36
  of
• 5:36
  just
• 5:36
  having
• 5:37
  to
• 5:37
  make
• 5:37
  bet.
• 5:37
  I
• 5:38
  mean,
• 5:38
  Levi's
• 5:38
  has
• 5:38
  to
• 5:39
  make
• 5:39
  some
• 5:39
  pretty
• 5:39
  big
• 5:39
  fricking
• 5:40
  bets
• 5:40
  pretty
• 5:41
  darn
• 5:41
  early
• 5:41
  too.
• 5:42
  So,
• 5:42
  like,
• 5:43
  I
• 5:43
  don't
• 5:43
  know,
• 5:43
  I
• 5:44
  just,
• 5:44
  I
• 5:44
  don't.
• 5:44
  I'm
• 5:45
  not
• 5:45
  buying
• 5:45
  it.
• 5:45
  Maybe
• 5:45
  a
• 5:46
  little
• 5:46
  bit,
• 5:46
  but
• 5:46
  not
• 5:46
  buying
• 5:47
  it.
• 5:47
  All
• 5:47
  right,
• 5:48
  all
• 5:48
  right,
• 5:48
  fair.
• 5:49
  Well,
• 5:49
  we
• 5:49
  kind
• 5:50
  of
• 5:50
  agree
• 5:51
  not.
• 5:51
  But
• 5:51
  not
• 5:51
  on
• 5:52
  the
• 5:52
  Baggy
• 5:52
  Jeans
• 5:52
  case
• 5:53
  study.
• 5:53
  That's
• 5:54
  where
• 5:54
  we'll
• 5:54
  leave
• 5:54
  this.
• 5:55
  Oh,
• 5:55
  yeah.
• 5:56
  Data.
• 5:56
  100%
• 5:56
  data
• 5:57
  is
• 5:57
  the
• 5:57
  foundation
• 5:58
  of
• 5:58
  good
• 5:58
  retailing
• 5:58
  going
• 5:59
  forward.
• 5:59
  Yes,
• 6:00
  yes.