Retail, Fashion & E-Commerce
A growing fashion retailer wanted to bring the in-store fitting room experience to their online customers. As more shoppers moved to digital channels, the brand saw an opportunity to reduce hesitation around purchases by helping users visualize how clothes would look on them before buying.
Their goal was to increase conversion rates, reduce returns, and make online shopping more interactive and personal.
Buying clothing online often comes with uncertainty:
We developed a browser-based Virtual Try-On (VTO) tool that uses AI to realistically overlay clothing items onto a customer’s uploaded photo or live camera feed.
Garment Overlay: The system maps clothing items to the user’s body, adjusting for pose, size, and fabric behavior — giving a near real-life preview of how items would look when worn.
Device-Friendly: Built as a lightweight web application, the VTO worked seamlessly across mobile and desktop, with no need for additional apps or technical steps.
Style Confidence: Customers could try multiple items quickly, seeing how colors, fits, and layers looked on them before adding to cart.
Integrated directly into the retailer’s product pages, the tool became a natural part of the shopping journey.
The retailer was also able to collect anonymized data on try-on behavior — helping them better understand customer preferences and outfit combinations.
After launching the Virtual Try-On feature, the retailer saw:
The tool helped bridge the gap between the physical and digital shopping experience — giving customers more confidence and improving the bottom line.
This project shows how AI can bring retail experiences to life online. By combining convenience with personalization, the Virtual Try-On tool helped the brand stand out in a competitive space — delivering value both to the customer and the business.
