Google Introduces AI-Powered Virtual Try-On and Smart Shopping Features

• Personalized Virtual Try-On (Launched May 2025, U.S. via Search Labs):

  Google allows users to upload a full-body photo and see how apparel looks on them. The tool supports try-ons for shirts, dresses, pants, and skirts directly from search results. The system uses a generative image model for fashion that respects user poses and captures how fabrics stretch, fold, and drape across diverse body types. Try-on images can be saved or shared for feedback.

• First at Global Scale:

  This is the first virtual try-on system operating at the scale of billions of items. It draws from Google’s Shopping Graph and adapts garment visuals to user-supplied photos. Google emphasized that its system retains clothing detail accuracy even in non-standard poses, offering a fashion-tech breakthrough.

• AI Model Technology (Gemini + Custom Fashion Generator):

  The solution combines Google’s Gemini AI with a specialized image model built for clothing. It enables photorealistic generation, grounded in an understanding of body geometry and garment behavior. This improves realism for dynamic try-ons.

• AI Mode for Contextual Product Discovery (Rolling Out Since March 2025):

  AI Mode integrates natural-language search and product understanding. Users can phrase complex needs (e.g., “a bag for a May trip to rainy Portland”) and the system performs parallel searches (“query fan-out”) to identify ideal items based on real-time context (e.g., waterproof material, pockets). Results appear in an interactive side panel and update as preferences change.

• Shopping Graph Integration (50B+ Listings, 2B+ Updates/Hour):

  Google’s Shopping Graph supports AI Mode and try-on capabilities with live product information. It includes over 50 billion items from global retailers to local shops. More than 2 billion entries are refreshed hourly, maintaining up-to-date prices, availability, sizes, and reviews.

• “Buy for Me” Agentic Checkout (Coming Soon, U.S.):

  The agentic checkout tool allows users to track items, define preferences (size, price, color), and approve an automated purchase. Once a price threshold is met, Google completes the transaction via Google Pay, securely checking out on the user’s behalf.

• Inspiring, Image-Rich Interface:

  AI Mode presents users with dynamic visual panels tailored to search context and style preferences. This design encourages discovery while providing visual cues aligned with user needs and seasonal or situational demands.

• Support for Informed, Confident Shopping Decisions:

  Shoppers can easily review and compare styles, receive automated product suggestions, and preview potential purchases in real-time on themselves. By bridging imagination and decision-making, Google positions its tools as trust-building agents in the e-commerce journey.

Why This Matters:

Google’s investment in AI-assisted commerce places the user at the center of a smarter, faster, and more intuitive shopping experience. By merging generative visual tech, large-scale product indexing, and autonomous checkout flows, Google is setting new standards for personalization and decision support in digital retail. This advancement signals a broader shift toward agentic shopping, where consumers rely on AI to inform, visualize, and execute their purchase intent with minimal friction.