data-driven technology predicting the correct clothes size

seeking €X from VC at a valuation ≈€X

September, 2014 - Copenhagen

EasySize is a data-driven technology which analyses online shops orders records to define

the clothes size

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

algorithm

defined size

logged-in client with a previous orders history

OR

first-time buyer who added 1 brand size for any piece of clothing

customer input algorithm DB analysis

filters adjusted to analyse clients IDs with

orders & returns

79,45% correctly predicted sizes

proven 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

demo video

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

free €399 €899 ind. price€99

200-1k orders

1k-5k orders

5k+ orders

traction & finance

Feb, 14 Mar, 14 summer, 14 Oct, 14 winter, 15 spring, 15

Core algorithm’s

update

Technology check with

a real database

Pilots in EU

Direct sales in EU

done

Sep, 13

Startupbootcamp acceleration

Nov, 13

Prototype

done done done done

74,3% accuracy

roadmap

79,45% accuracy Sales at Sales at

Direct sales in Latin America

Direct sales in AU & NZ

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

competitors

NY, Copenhagen Berlin Stockholm Tallin, LondonHQ

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

investments

investments

VC investments to scale the business

H1, 2015 €X ≈€X valuation

proven technology and product proven business-model & generating a revenue dedicated team

team

Gulnaz KhusainovaCEO & 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

Emilis SopranosFront-end

Emmanouil GiannisakisLead web-developer

Tihana SareUI/UX

MSc in Digital media engineering, 6+ years

experience

Ieva SmitaiteCommunication Marketing analyst

Maria Kokkoli

Gulnaz Khusainova gk@easysize.me