Your main task as a partner will be to help with the development of the image recognition and user size prediction algorithm of the Shower.
A computer science bachelor or master degree is recommended.
To apply for this position contact the creator of the job: Message Cyprien Hoelzl
Online retailers offers today more choice than classic distributors. Thus, many consumers choose to order online from suppliers that offer a large range of products, but without a personalized size recommendation. Consequently, suppliers observe a high return rate (over 30% of online orders are returned*). Shower creates a link between suppliers and consumers. It is a measurement procedure (fast and fun) that helps anyone to purchase the right size of garment online. The body measurements are acquired via image recognition of the customer’s pictures captured in a process called “shower”. With body measurements, manufacturer clothing size tables and customer preferences, shower can predict the optimal size for each brand and garment with machine learning. The technical aspects have been demonstrated in the academic world** and our next step is to build a fully functional prototype of the system. The online clothing retail accounts for over 320billion USD sales worldwide***. By diminishing the rate of returns, the satisfied consumers will repeat their purchases and in turn this will increase the benefits suppliers. Product monetization will be based on:
* Statistics released by IMRG, eCommerce
*** Statista Digital Market Outlook report, 2015