Sample of an investor deck we used at EasySize. All the confidential information is removed.

1. data-driven technology predicting the
correct clothes size
seeking €X from VC
at a valuation ≈€X
September, 2014 - Copenhagen

2. EasySize is a data-driven technology which
analyses online shops orders records to define
the clothes size

3. problem & market

4. 8
S
XS
sizes differ dramatically across brands

5. problem
35%
80-90%
20%
of all clothes bought online are returned
of all returns are due to the wrong size
of revenue is spent on returns in EU
€8.4 billion / year
“ 1% fall in returns adds ≈ €12 million to the company’s bottom line
“
Nick Robertson
CEO
spent on returns

6. solution & technology

7. how we do it
direct integration to
an online-shop in
less than an hour
access to orders
and returns records
API + apps for
NO
personal info
payment info
clothes measurements
unique algorithm
analysing various
factors manufacturing
country
clothes
cut
clothes
fabric
brands &
collections

8. algorithm
defined
size
customer input algorithm DB analysis
first-time buyer
who added 1
brand size for
any piece of
clothing
OR
logged-in
client with a
previous
orders history
filters adjusted to
analyse clients IDs with
orders & returns

9. 79,45% correctly
predicted sizes
proven by
accuracy

10. how it looks
new client
not logged in or a
? first-time buying client
current client
logged in client with
previous orders
a light-box to add a brand size of any
piece of clothing a customer owns
auto-defined and recommended size for every page
based on previous orders
demo video

11. what we offer to online-shops
decreasing returns
by 35-40%
integration in
<1 hour
saving
5-7% revenue
1 month
free trial + monthly subscription based on
number of orders made with EasySize
0-50
orders
50-200
orders
200-1k
orders
1k-5k
orders
5k+
orders
free €99 €399 €899 ind. price

12. traction & finance

13. Core
algorithm’s
update
Technology
check with
a real database
Pilots
in EU
Direct sales
in EU
done done done
done done
Direct sales in
Latin America
Feb, 14 Mar, 14 summer, 14 Oct, 14 winter, 15 spring, 15
Startupbootcamp
acceleration
Sep, 13
Prototype
Nov, 13
74,3%
accuracy
roadmap
79,45%
accuracy Sales at Sales at
Direct sales
in AU & NZ

14. traction
september, 2014
december, 2014
X shops
integrated
X shops
paying
december, 2015
X shops
integrated
X shops
paying
estimated annual
revenue - €X
estimated annual
revenue - €X

15. competitors
NY,
HQ Copenhagen Berlin Stockholm Tallin, London
founded Jan, 13 Jul, 10 Feb, 11 Mar, 10
product B2C: social
media platform
to share body
measurements
B2B: 5-10
questions about
an user’s figure
and parameters
B2B: based on
clothes
measurements
B2B: virtual
fitting room &
3D body model
seed €350k €1 mln €1 mln €1.4 mln
series a €1.5 mln €3 mln €4.2 mln €5.6 mln
London
Jan, 08
B2C: virtual
fitting room &
3D body model
€2.5 mln
€3.3 mln

16. investments

17. investments
VC investments to scale the business
H1, 2015 €X ≈€X valuation
proven technology and product
proven business-model & generating a revenue
dedicated team

18. team

19. Gulnaz Khusainova
CEO & Founder
MSc in Strategic
Marketing
founder of
3 startups
7+ years as an IT &
marketing specialist
ex-head of strategic
planning and data
analytics unit in bank

20. Emilis Sopranos
Front-end
Emmanouil Giannisakis
Lead web-developer
Tihana Sare
UI/UX
MSc in Digital media
engineering, 6+ years
experience

21. Ieva Smitaite
Maria Kokkoli
Communication Marketing analyst

22. Gulnaz Khusainova
gk@easysize.me