SlideShare a Scribd company logo
97% of shoppers are
anonymous.
Retailers lack the data to
deliver personalisation.

Problem
$40BN
Of revenue
generated by
recommendations
Source (McKinsey;Accenture)
We are building the
world’s first data
collective for the
fashion industry.
Solution
Price
Range
Size
Cross-domain browsing
and purchase history
Before your website loads

Identify browser’s:

See Fashion
Personal Stylist
40%
Conversion
increase
Out of Stock
Visual Search
65%
ABV increase
Trend Forecasting &
Inventory Planning
15%
cost saving
Granted patent to
prevent in-store
shoppers from
comparing prices
online
Acquires
Feb
2006
7 in-house fashion
Feb
2016
Mar
2017
Apr
2017
On-demand
clothing patent
granted
Apr
2015
Acquires
Acquires
Oct 2017
Jun
2017
May
2017
Launches
Why now?
$5BN+
Data Driven Companies Make More Money
Market
$5BN
$2BN
Personalization
$10BN
by 2021
$300BN
Digital Marketing
Competition
Real-time
personalisation
Customer Insights
Trend
Forecasting
Partnerships
Go-to-Market
Traction
First 2000
Recommendations
Enterprise Access
Custom Solutions
for retail groups
Personalization /API
Intelligence PlatformClosed Network
from $2000/month
Free
from $5000/month
Business Model
AARON
JONES
CEO
IVANA
OJUKWU
COO
ISTVAN
SZUKACS
CTO
Team Advisors
MICHAEL
FASOSIN
SPINDRIFT
JONATHAN
AKEWE
PUBLICIS GROUP
SIMON
WARD
BRITISH FASHION COUNCIL
TOLU
TITOLOYE
BARCLAYS
Fundraising
Use of Funds
- Develop personalisation and visual search
apps to attract smaller brands
- Hire dedicated sales and marketing team
- Expand developer and data scientist team
Ivana Ojukwu
ivana@see.fashion

415-684-0015
Aaron Jones
aaron@see.fashion

415-997-3289

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