EasySize helps clothing online retailers to decrease returns by recommending the correct clothes size. For online shoppers who have bought something in an online shop previously EasySize automatically predicts the size based on their previous purchases. And new customers should add a size of any piece of clothing they own. Accuracy of the algorithm is 79,45% and it helps to decrease returns by 35-40%

1. data-driven technology predicting the
correct clothes size
September, 2014 - Copenhagen

2. problem & market

3. 8
S
XS
sizes differ dramatically across brands

4. 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

5. solution & technology

6. 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

7. 79,45% correctly
predicted sizes
!
proved by
accuracy

8. 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

9. what we offer to online-shops
decreasing returns
by 35-40%
integration in
<1 hour
saving up to
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

10. ready to start?
check http://www.easysize.me/get-started/ or
send a request to gk@easysize.me

11. Gulnaz Khusainova
gk@easysize.me