AI Size advisor
A Size advisor that suggest users best fit when they are buying clothes in a marketplace
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problem
42% of online shoppers claim that they aren't sure what size to buy when shopping online. 40% of purchases made online are returned and over 58% of returns are due to wrong size or fit. The fashion industry is the second most polluting industry worldwide.
solution
Companies that are able to suggest customers what size to wear, 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 emmissions and clothes going to landfill).
The project combined artificial intelligence and computer vision to create a simple photo-based sizing tool. Users take two photos following guided instructions, and the AI analyzes their measurements to recommend the best size for each garment, addressing the fundamental challenge of online clothing fit.
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.
year
2019
timeframe
4 weeks
tools
Figma, Hotjar & Google Analytics
category
AI strategy
01
Illustrations showing the step-by-step instructions helps users to understand what to do
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Simplifing the flow by asking the most important information for users
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The result suggest users which could be the perfe fit according with the two pictures they take
outcomes
The first Marketplace who tested eStylar feature was Draper James who 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. After one week users
learnings
Working with a few amount of outsources force you to be more creative. User testing and tracking after implementation were a key for the impovement of the project.
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Returns
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Sales
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Convertion rate
see also
