This document describes a personalized style advice service that uses data and algorithms to provide customized outfit and styling recommendations to customers. It aims to solve problems of too much choice, lack of confidence, and not enough time by creating a "personal shopper in your life." Customers are analyzed and given recommendations on styles, sizes, and outfits suited to their shape, occupation, and preferences. The service has been successful in reducing return rates and increasing engagement and purchases. It works by analyzing garment details and creating "fashion fingerprints" for customers to deliver daily, weekly, and themed recommendations.

1. Personalised Style Advice for Everyone
Style By Numbers and the Science of Sexy
“Eradicate the frustrating cycle of click, buy,
try and return. It’s the new personal shopper
in your life"
“"The machines may or may not take over the
world, but they will ensure we're impeccably
dressed"
“You’re in good hands. Perfect for the
time-starved or anyone whose
confidence is lagging"

2. THE CONSUMER’S PROBLEM
2

3. Too much choice

4. what suits my body shape?
Low confidence

5. Outfit advice

6. Not enough time

7. Confused by sizing

8. Anonymous customers
+
=
Unannotated garments
No personalisation
High return rates
Lower conversion

9. THE SOLUTION
9

10. Customer Proposition - Inspiration, Confidence & Trust
Truly customer-centric and personal
Offers individual style advice to every woman:
• How to dress to their shape
• Discovery of new styles they will love
• How to best wear the trends
• Completing their look
• Their best size to buy
Empowers shoppers: Creates the know how and
confidence to find their way in a ‘busy’ fashion world
Removes the ‘gamble’ of online shopping
10

11. Beauty & The Geeks
Fashion Domain Expertise
Technical Expertise and Wizardry
Styling Rules
Turn Stylists’ Minds into Algorithms
Seasonal Trends
Data Experts
Emotional Components
Allow Solution to Scale
Understand Nuances of Female Mind
Mathematicians, Physicists & Statisticians
11

12. Personal Style Advice & Recommendations on dressipi.com
12

13. Retailer Personal Shopper
Fashion Fingerprint, Recommendations, Size Finder
Online Promotion
13

14. The Competitive Difference
• Unique expert and technology approach
• Real personal recommendations (“fit & flatter”)
• Increases engagement, conversation, returns, basket value and loyalty
14

15. The Transformation
My Brands
•Mango
•Oasis
•River Island
•Azzaro
•DKNY
•Fendi
•J Brand
My Occupation
Child minder, studying to
be a nurse
My Style
Child minder, studying to
be a nurse
My Colours
We take (anonymous)
customers and browsers
We get to know these users
really well
15
And transform those
users into confident
stylish shoppers

16. Results so far…
• Over 250,000 profiles
• Average return rate of items purchased: 10%
• Purchasers as % of active monthly visitors: 5%
• Outfit Builder recommendation purchases: 50%
• Email open rates: 45%
• Basket value across all brands: £109

17. HOW IT WORKS
17

18. The Dressipi ‘Matching’ Technology
…Neckline
…Sleeve Style
…Sleeve Length
…Style
…Fit
…Fabric
…Texture
…Length
…Pattern
…Colour
50-60 Data
Points per
Garment

19. The Dressipi Fashion Fingerprint
“5 minute DNA”

20. Style Guide

21. Daily Recommendations

22. Weekly & Themed Emails

23. Lists

24. Themes & Features

25. Outfit Builder – Launching April 2013 – 3 Fold Increase in Revenue
WORK
WEEKEND

26. Outfit Results – 1 Jacket 2 Ways (Weekend to Wedding)
40-50 year customer
WEEKEND
WEDDING

27. Outfit Results – Same Trousers for an Evening Look - 2 different Shapes
Both customers in their 20s
SLIM
PLUS

28. Outfit Results – Recreating Victoria Beckham’s Look Specifically for You
Different Aged Customers
In her 20s
In her 40s

29. Capsule Wardrobe – Launching Q2 2013

30. Coming Soon
All Consumer Connection Points (Q3/Q4 2013)
• Style Advice on the go
• Connected to consumers 24/7
• In store experience augmented
• Near field marketing
• Increased conversion & basket size
• Customer ‘care’
In Store
• Integration with any POS technology
30
• Create on demand styling service in store
• Exclusive offering

31. THANK YOU
sarah@dressipi.com