Investor deck sample
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EasySize is a data-driven technology that analyzes online shop order records to define correct clothing sizes. It seeks €X in funding from VCs at a valuation of ≈€X. EasySize's algorithm accurately predicts sizes 79.45% of the time by analyzing various factors like country of manufacture, clothing cut and fabric, brands and collections. It offers to integrate with online shops in under an hour and can decrease returns by 35-40%, saving shops 5-7% of revenue through a monthly subscription model based on order volume.
Investor deck sample
- 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
- 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
- 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
- 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