data-driven technology predicting the correct clothes size
September, 2014 - Copenhagen
problem & market
8
S
XS
sizes differ dramatically across brands
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
1% fall in returns adds ≈ €12 million to the company’s bottom line
Nick Robertson CEO
“ “
€8.4 billion / year spent on returns
solution & technology
how we do it
direct integration to an online-shop in less than an hour
access to orders and returns records
API + apps for
NOpersonal info payment info clothes measurements
unique algorithm analysing various
factors manufacturing country
clothes cut
clothes fabric
brands & collections
79,45% correctly predicted sizes
!proved by
accuracy
how it looks
new clientnot logged in or a first-time buying client?
current clientlogged 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
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
free €399 €899 ind. price€99
200-1k orders
1k-5k orders
5k+ orders
Gulnaz Khusainova [email protected]
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