UST Virtual Try-On: AI-Powered Virtual Fitting Room for Retail

**Features**

• **AI-based body and facial landmark detection:** Accurately maps facial and full-body points to align apparel, footwear, eyewear, and beauty products to each shopper’s unique shape, pose, and movement.
• **High-fidelity 3D rendering with true-to-color accuracy:** Uses advanced 3D visualization and rendering pipelines to replicate fabric drape, texture, gloss, and shading so products look realistic under different lighting and angles.
• **Cross-channel SDKs for ecommerce, app, and smart mirror integration:** Lightweight SDKs and APIs allow rapid integration with retail websites, mobile apps, and in-store smart mirrors, enabling a consistent virtual try-on experience across all touchpoints.
• **Real-time AI + AR visualization:** Combines augmented reality overlays with real-time computer vision tracking so shoppers can move naturally while seeing products rendered on their live image or video feed.
• **Social share and compare capabilities:** Built-in social share and side-by-side comparison features let shoppers capture looks, share with friends, and compare outfits, increasing engagement and time on site.
• **3D asset and SKU management with analytics:** Centralized tools to onboard, manage, and update 3D assets and product SKUs, with analytics on try-on frequency, product engagement, and conversion performance across categories.
• **Analytics on try-on frequency, conversion, and fit insights:** Dashboards and reports surface key metrics such as try-on events, add-to-cart rates, conversion uplift, and items frequently tried but not purchased, informing merchandising and fit strategies.
• **Secure APIs for catalog, inventory, and order system connections:** Enterprise-grade APIs integrate with ecommerce catalogs, inventory systems, and order management, ensuring product data accuracy and secure data flows in AWS retail environments.
• **Cloud-ready architecture on AWS:** Designed as a cloud-native platform leveraging AWS for elasticity, performance, reliability, and security, supporting pilots through to large-scale global deployments.

**Benefits**

• **Increase conversion rates and revenue:** Drive measurable uplift in digital sales—retailers typically see 25–40% conversion uplift when shoppers can virtually try on products before purchasing.
• **Reduce product returns and reverse logistics costs:** More accurate visualization of fit, drape, and style leads to 20–30% reduction in returns, lowering shipping, restocking, and customer support costs.
• **Boost shopper confidence and satisfaction:** Shoppers gain confidence by seeing items on themselves instead of static product images, improving satisfaction, reviews, and long-term loyalty.
• **Deliver a seamless omnichannel experience:** Offer the same virtual try-on experience across web, mobile, and store-based smart mirrors, supporting consistent brand storytelling and unified customer journeys.
• **Accelerate time to value with a 14–18 week rollout:** A structured pilot-to-deployment program, from discovery and readiness assessment through SDK integration, enables retailers to go live quickly and scale with lower implementation risk.
• **Optimize merchandising and product strategy:** Use try-on and conversion analytics to identify high-performing SKUs, uncover fit issues, refine assortments, and inform design and buying decisions.
• **Differentiate your brand with immersive AI AR retail**: Stand out in crowded ecommerce and D2C markets by delivering a premium virtual try-on and virtual fitting room experience that aligns with modern shopper expectations.
• **Scale globally with AWS-powered performance and security:** Rely on AWS infrastructure to meet performance, compliance, and security needs as traffic grows, seasonal peaks hit, and new regions or markets are added.