Zelig

Zelig is a Virtual Try-On & Styling (VTO-S) technology platform that serves as a foundational pillar for the future of personalization in fashion and apparel commerce. It enables brands to offer immersive, interactive shopping experiences that bridge the gap between online browsing and the in-store fitting room, ultimately driving higher conversion rates, reducing returns, and increasing customer engagement through hyper-personalized style interactions.

Key features: The platform provides a suite of AI-driven capabilities including a virtual try-on module that allows customers to visualize garments on personalized avatars or via augmented reality. Its style recommendation engine analyzes individual preferences and body metrics to suggest complete outfits. Brands can implement dynamic product pages that showcase configurable looks, and a social style-sharing feature lets users save and share their curated ensembles. The technology also includes tools for look co-creation, outfit configuration, and generating data-driven insights for marketing campaigns.

What sets Zelig apart is its focus on being an integrated, foundational technology rather than a standalone app, designed to be embedded directly into a brand's existing e-commerce ecosystem. It leverages advanced machine learning for accurate fit prediction and style personalization, going beyond simple filters to understand nuanced style preferences. The platform is built to integrate seamlessly with major e-commerce platforms and product information management (PIM) systems, providing a scalable solution that transforms static product pages into interactive style destinations.

Ideal for luxury fashion brands, mainstream fashion retailers, and e-commerce platforms seeking to enhance their digital customer experience. Specific use cases include reducing size-related returns through accurate virtual fit, boosting average order value via outfit recommendations, increasing customer loyalty through personalized styling, and empowering marketing teams with trend transformation data. It is particularly valuable for industries like apparel, footwear, and accessories where fit and style confidence are critical purchase drivers.

The platform operates on a freemium model, offering core try-on features for free to get started, with advanced styling, analytics, and enterprise integration capabilities available through tiered subscription plans. Notable limitations in the free tier may include watermarked outputs, limited API calls, or restrictions on the number of monthly active users.