Zelig for Web

Transforming Fashion E-Commerce with Zelig

Zelig is an AI-driven virtual try-on and styling platform created for the fashion market. This web-based tool enables shoppers to upload their own photos or pick from an in-app catalog of models to see how garments would look on a real person. By letting users combine pieces and experiment with complete outfits, Zelig makes online shopping more interactive and visually informative.

How the Platform Works

• Start by uploading a personal photo or selecting a model from the platform’s image library.
• The AI maps garments onto the chosen image and renders a realistic preview of fit and drape.
• Users can mix and match tops, bottoms, outerwear, and accessories to build complete looks.
• Favorite combinations can be saved to a private wardrobe for future reference or direct purchase.

Advantages for Shoppers and Brands

• Personalized visual previews reduce uncertainty about size and style, improving shopper confidence.
• Brands see higher engagement and conversion by offering a more immersive buying experience.
• The saved-looks feature encourages repeat visits and builds a tailored shopping history for each user.
• Integrating Zelig into product pages helps retailers present items in context, making choices easier for customers.

Practical Applications

Zelig is particularly useful for digital storefronts, mobile shopping apps, and social commerce experiences. It supports styling features for customers who want to plan outfits, discover new pairings, or evaluate how a piece will complement their existing wardrobe.

Alternative Solutions to Consider

• GenPictures — a paid solution focused on high-quality model imagery and virtual try-ons.
• TryOnAI — enterprise-oriented virtual fitting tools with advanced retail integrations.
• VirtualFittingPro — offers a free trial and tools for rapid store implementation.