Overview
Mid-market fashion retailers are losing billions to choice paralysis: 70% cart abandonment, 40% return rates, and a 22% retention rate signal a broken shopping experience. The vision: an AI stylist that brings luxury-level personalization to every touchpoint.
Our team was challenged to design a next-generation retail solution powered by Microsoft's AI tools. We chose to focus on mid-market retailers, starting with Uniqlo, and developed St-AI-le [Style] INTEL — a suite of tools designed to solve shopper choice paralysis. My role focused on the strategic research and ethical foundations that ensured our concept was both viable and responsible.
Core Contributions
Responsible AI & Legal Research
Researched Responsible AI principles and legal considerations, focusing on the "Trust Architecture" — identifying how to mitigate bias and protect user privacy in a personalization context.
Trend & Landscape Analysis
Conducted deep-dive research into retail AI trends to help the team understand the competitive landscape and identify where Microsoft's tooling could create the most meaningful differentiation.
Demo
A preview of the St-AI-le [Style] INTEL prototype — personalized outfit curation powered by AI, built for Uniqlo shoppers.
Design and prototype by Anyssa and Garda.
User can upload a photo of their inspiration. Style Lens identifies key garments, generates the look, and matches pieces from the entire inventory — promoting items across all price tiers.
Tracks user calendar events, past purchased items, new Uniqlo collections, internal sales data, and social trends to proactively recommend hyper-personalized styles for each user.