Dysko — AI Fashion Discovery App | UX Case Study

Shreay Goyal
by Shreay Goyal · Mar 2026
shot

Upvote

1
Dysko — AI Fashion Discovery App | UX Case Study

Project description

Dysko is an AI-powered fashion discovery app that aggregates clothing and accessories from multiple e-commerce platforms — Myntra, Ajio, Amazon, and Meesho — into a single, seamless interface. Users simply type or speak a style command and Dysko instantly surfaces matching products from all platforms, side by side. A swipe-based shortlisting mechanic makes it easy to compare and save favorites, while the unified cart lets shoppers visit any platform in one tap. This case study covers the full design process: competitive research, problem definition, user flow mapping, high-fidelity UI design, and a complete design system including typography, color tokens, grid framework, and iconography. Tools: Figma · Adobe Photoshop · ChatGPT

Dysko — AI Fashion Discovery App | UX Case Study Image 0Dysko — AI Fashion Discovery App | UX Case Study Image 1Dysko — AI Fashion Discovery App | UX Case Study Image 2Dysko — AI Fashion Discovery App | UX Case Study Image 3Dysko — AI Fashion Discovery App | UX Case Study Image 4Dysko — AI Fashion Discovery App | UX Case Study Image 5Dysko — AI Fashion Discovery App | UX Case Study Image 6Dysko — AI Fashion Discovery App | UX Case Study Image 7Dysko — AI Fashion Discovery App | UX Case Study Image 8

Support this project

Upvote

1
© 2026 Copyright Privacy Policy and Terms of Service