eStylar
AI size advisor for Draper James
This tool uses artificial intelligence and computer vision to help shoppers find items that match their exact size and body shape, addressing one of e-commerce's biggest challenges.
2019
eStylar was designed to tackle sizing issues in online clothing shopping, a common problem in e-commerce. Draper James 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.
SERVICES
As a Founder Designer, I led product development from research to implementation, coordinating with technical teams and leadership.
Project Overview
Reduce return rates, improve fit accuracy, and increase customer confidence in online clothing purchases through AI-powered size recommendations.
Create an AI-powered body scanner that analyzes user photos to provide personalized size recommendations for online clothing shopping.
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.
Approach
Team refining user journeys
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.
Process
The process balanced technical complexity with user simplicity, requiring careful coordination between UX design and AI implementation teams.
I initiated design discovery and conducted user research to understand sizing pain points. The process involved creating detailed UI components, documenting edge cases, and facilitating collaboration between UX and development teams. I developed user journey maps and led regular executive reporting meetings to ensure alignment with business goals.
The design philosophy centered on simplifying complex technology for everyday users. The approach emphasized clear visual guidance to help users successfully complete the photo-taking process while ensuring the AI received quality input for accurate measurements.
Key Learnings & Takeaways
Delivered a streamlined 3-screen process that guides users through taking photos for AI analysis and provides personalized size recommendations.
The final solution transforms complex AI technology into a simple 3-step process. Users receive clear instructions, take two photos, and get personalized size recommendations, making advanced technology accessible to everyday shoppers.
Product Images
This project demonstrated how to successfully integrate cutting-edge AI technology into user-friendly design. The solution addressed a real business problem while creating a competitive advantage for Draper James in the online fashion market.
Achievements
This brings to the marketplace: Competitive Advantage: Positioned Draper James as an innovative retailer. Improved Customer Experience: Higher satisfaction and purchase confidence Cost Savings: Reduced return processing, shipping and restocking Reduced Return Rates: Only 15% returns among advisor users
The tool significantly reduced return rates while improving customer satisfaction and positioning Draper James as an innovative retailer.
Within 3 months, 250+ users utilized the AI Size Advisor with strong adoption and effectiveness. The tool provided psychological comfort to shoppers, addressing one of online clothing shopping's biggest pain points. The project established Draper James as an innovative retailer while delivering measurable business value through reduced operational costs.
User using AI
Return rate
