Launching an AI Virtual Try-On?
AI 3D Virtual Try-On: 35% Fewer Returns, 28% Higher Conversions, and 10+ Fashion Brands Live
Case Study Summary
Executive summary
Whizzbridge transformed advanced AI and 3D research into a commercial-grade virtual try-on solution for fashion e-commerce, now live across 10+ retail brands. The platform delivers a photorealistic try-on experience that cut size-related returns by 35% and lifted conversion rates by 28%, with product-page dwell time up 2.4x. Built on a scalable modular architecture supporting hundreds of SKUs per brand, the solution reduces buyer uncertainty and provides participating retailers with a competitive edge in online fashion.
35%
Fewer size-related returns
Post-launch
28%
Conversion lift
Product pages
10+
Fashion brands live
Commercial-grade deployments
Challenges
- Online fashion retailers were struggling with low buyer confidence due to static product imagery and generic size charts that did not reflect how garments look on real bodies.
- Shoppers lacked a realistic, body-accurate way to visualize fit, drape, and overall appearance before making a purchase.
- Existing virtual try-on tools were often disconnected from the brand’s own storefront, creating friction in the customer journey.
- Many available solutions were difficult to scale across large fashion catalogs and were not easy to integrate into existing e-commerce ecosystems.
We needed a solution that made virtual try-on feel like a native part of online shopping, not a disconnected third-party experience.
WhizzBridge’s Solution
- Designed and developed a modular, AI-enabled virtual try-on platform tailored for fashion retailers.
- Enabled shoppers to create personalized, body-accurate 3D digital avatars for a more realistic shopping experience.
- Built a Shopify-ready virtual try-on plugin that could work directly within the store experience without disrupting browsing or checkout flow.
- Used Three.js to power interactive, browser-based 3D rendering for avatar visualization and try-on experiences.
- Deployed the AI/ML backend on cloud infrastructure to support body modeling, garment simulation, and scalable rendering workflows.
- Architected the solution to be Azure-ready, allowing enterprise-grade scalability, security, and future expansion.
Results We Achieved
- Reduced size-related returns by 35% while boosting buyer confidence.
- Improved product-page conversion rates by 28% through immersive try-on.
- Now live across 10+ fashion e-commerce brands with commercial-grade deployment.
- Lifted product-page dwell time by 2.4x for end users.
- Scalable foundation supporting hundreds of SKUs per brand, with new categories onboardable in under a week.
The result was not just a feature, but a scalable digital shopping experience designed to increase confidence and drive conversions.
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