Google is revolutionizing online shopping with new AI-powered features that solve common consumer pain points. The company’s announcement at Google I/O introduces tools that transform product discovery, price optimization, and virtual try-on experiences. These advancements leverage Google’s massive Shopping Graph database and custom AI models to create a more personalized, efficient digital shopping journey—potentially disrupting how consumers search for and purchase products online.
1. Google’s Shopping Graph gets a major upgrade
Google has integrated Gemini AI with its Shopping Graph, which now features over 50 billion product listings from major retailers and independent shops. The system refreshes two billion listings hourly, ensuring shoppers receive current pricing, discounts, and availability information.
- AI Mode allows shoppers to search for products based on both the item and intended use case, like finding a “cute travel bag” for a Portland vacation.
- The system performs “query fan-out,” running multiple simultaneous searches to find products meeting specific criteria, such as a travel bag with appropriate pockets that fits under airplane seats.
- US users will gain access to AI Mode for shopping in the coming months, with a panel that updates dynamically with new brands and options during searches.
2. Google will price-track – and purchase – products automatically
The new price-tracking feature allows shoppers to specify product details including size, color, and target price point, then monitors for discounts.
- Google will send notifications when prices drop to help users secure the best deals on desired items.
- The system can automatically add products to cart and complete purchases via Google Pay once items reach the user’s specified price point.
- Like AI Mode, this automated purchasing feature is scheduled to roll out over the coming months.
3. Try on clothing in Google’s virtual fitting room
Google has introduced virtual try-on technology powered by a custom image generation model designed specifically for fashion.
- The system accounts for body type, fabric characteristics, and clothing nuances to create realistic virtual fittings.
- Users can upload personal photos to try on clothing from Google’s Shopping Graph and share images with friends for feedback.
- This virtual fitting room technology is already available today in Search Labs for US users.
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