Production2026
V-TRY
An AI virtual try-on product that helps people see how clothes could look on them before they buy. V-TRY is designed to make online fashion shopping feel more personal, more visual, and much closer to the confidence of trying something on in real life. The experience extends beyond a single storefront, bringing try-on into real browsing moments through a Chrome extension and lightweight web app flow.
My Role
Designed and built the Chrome extension, the first iteration of the web app frontend, and the ecommerce detection and injected button flow that bridges product pages into try-on generation.
Product Goal
Let shoppers preview products on themselves before they commit to a purchase.
Experience Strategy
Bring try-on into the shopper's natural browsing flow through the extension and web app.
Product Flow
A browser-led try-on journey that brings V-TRY into the places where purchase decisions are actually made.
Injected try-on flow inside ecommerce
This flow shows V-TRY running directly on an ecommerce site: hovering a Nike product, clicking the injected V-TRY button, opening the Chrome extension side panel, and triggering the generation process that returns the try-on image.
