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00:00:03
hi everyone my name is antonio and the problem that we
00:00:07
saw in the market is that the modern woman once
00:00:09
and it struck shop that doesn't really have the time to shop around so more more turn to online shopping
00:00:15
but online customers are expected to shift should you and liz options available on the web
00:00:21
this process really is overwhelming uninspiring and far from customers century
00:00:26
so we yeah jamie and i wanted to create a solution that flips the current e. commerce model on its head
00:00:33
and really truly masters personalisation any comments so man to
00:00:38
do use you to jamie out that show stylist
00:00:41
jamie's using artificial intelligence to get to know your personal style
00:00:46
and then sends you a g. rated selection of outfit recommendations tailored to your
00:00:50
taste so imagine a sporty phi um recommend the system for fashion
00:00:56
as it work so you as a new customer you sign up to jamie by playing eight short little fun in south game
00:01:03
after that you receive a regular feature of outfit recommendations taylor to taste this
00:01:09
also gives jamie a chance to learn more about you all the time
00:01:13
you all your recommendations are also stored in your um account
00:01:17
so that allows you to browse you personally online shop
00:01:21
the n. b. p. was launched in april of this young um we have since uh quite just over a thousand
00:01:27
three hundred sign ups which includes to personal style preference state
00:01:30
of these customers um and i generating first revenue
00:01:35
the business model behind jane i is a two sided market place so
00:01:39
we connecting customers with small boutique brands and jamie and i act
00:01:44
as a platform connecting the two fruit data only takes in machine
00:01:48
learning and takes a commission on every purchase that it might
00:01:53
the team behind jane and i had to suisse is this my sister lady um hold a
00:01:58
p. h. d. in dayton only dixon looks after to take side of the business
00:02:01
um i have a master in entrepreneurship and look up to the business side of jamie nigh
00:02:07
um we're always looking for interested partners in the fields of investment fashion you can mess
00:02:12
in media so if interested please come talk to me thank you very much
00:02:22
um any questions for a jamie and i
00:02:26
going once going twice not be so shy
00:02:31
sorry
00:02:34
so on one on one side um we have their general
00:02:37
traditional online retailer this i'm not ways we sort of
00:02:41
see our strength in um the weaknesses which is basically
00:02:45
the lack of um personalisation and any information overload
00:02:48
and on the other side we have um more per slice other shopping so this is
00:02:53
where we see a lot of our string from on the basis model side so that was a lot of them working
00:02:58
which human stylists we we um use technology which makes it much more
00:03:02
scalable um a lot of them you are working with stock
00:03:05
we use a drop shipping approach which means if a customer purchases from last t. brand in
00:03:10
um since differ from instructor customers so that makes it much easier for us as well
00:03:16
yeah
00:03:18
it uh what that so far but we also on the remote met stephanie uh some overlap with the um we met and so
00:03:25
i'm not yeah not so far um it's definitely something we
00:03:29
wanna incorporate and natural language processing as well at
00:03:32
the moment it's more net content base level was so with that initial style game that the custom signs
00:03:38
up we've and also the cam continues rating of the new outfits that you receive so every time you see
00:03:44
the new recommendation they can for you rated and also different collaborative filtering approaches with a cluster building
00:03:53
thank you very much oh one more question sorry i
00:04:00
so um so far i. p. strategies more like a secret source that having to um

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