AI-Driven Sizing Tool for Draper James

42% of online shoppers say they aren't sure what size to buy. 40% of online purchases are returned, and over 58% are due to the wrong size or fit. The fashion industry is the second most polluting industry worldwide.

Companies that can suggest to customers the right size increase sales by 15%. Help customers find the right size and reduce returns (and increase sales while you are at it). Help reduce CO2 impact by reducing returns (which lead to CO2 emissions and clothes going to landfill).

I used a user-centered design approach combining technical feasibility research with extensive user testing to create an intuitive interface for complex AI technology. The approach started with desk research on similar platforms and user pain points around online sizing. I conducted affinity mapping to organize findings and built information architecture for various user scenarios. The focus was on making sophisticated AI technology accessible through clear visual guidance and step-by-step instructions.

Illustrations showing the step-by-step instructions helps users to understand what to do

Simplifying the flow by asking the most essential information for users

The result suggests users who could be the perfect fit according to the two pictures they take

The first Marketplace that tested the eStylar feature was Draper James, which faced high return rates due to poor fit, leading to customer frustration and increased costs. The solution uses AI and computer vision to help shoppers find items that fit their exact size and body shape.