Google launches AI-powered checkout and virtual try-on for personalized shopping

Google Introduces AI Mode and Agentic Checkout for Smarter Shopping

Google is rolling out a new AI-powered shopping experience called AI Mode. This feature integrates Google’s Gemini generative AI chatbot with the Google Shopping Graph, a real-time dataset that now includes over 50 billion product listings. These listings feature detailed information such as reviews, prices, color options, and availability, with more than 2 billion refreshed every hour.

In the coming months, shoppers will be able to interact using natural language queries. A dynamic panel on the right side of the screen will display personalized images and product listings that update in real time as the user refines their search. This approach streamlines discovery by presenting relevant options tailored to individual preferences.

Once a product is selected, the new agentic AI checkout assists with the purchase. Shoppers can set preferences like size, color, and budget by tapping “track price” on any listing. When prices drop, notifications alert the buyer. When ready, the customer confirms purchase details and taps “buy for me.” Google then adds the item to the cart on the retailer’s site and completes the transaction securely via Google Pay. This feature will initially launch in the U.S.

Advancements in Virtual Try-On Technology

Google is also launching a custom image generation model for fashion that understands the nuances of clothing and how different fabrics behave on various body types. This allows shoppers to virtually try on billions of apparel items from the Shopping Graph.

Currently piloted in the U.S., customers shopping for shirts, pants, skirts, and dresses can tap a “try it on” icon to upload a full-length photo of themselves. Within moments, they see how the chosen clothing item fits and drapes on their body. Users can save these looks or share them with friends for feedback.

Practical Implications for Product Development

• Integrating conversational AI with real-time inventory data creates a more intuitive shopping journey, reducing friction and enhancing customer satisfaction.
• Agentic checkout automates price tracking and purchasing, offering a seamless path to conversion that could increase sales velocity.
• Virtual try-on technology leverages AI to improve online apparel shopping, addressing fit and style uncertainties that often deter buyers.
• These innovations demonstrate how AI can be embedded into product experiences to meet consumer demands for personalization and convenience.

Related Retail AI Collaborations

• Warby Parker is partnering with Google to develop AI-enabled smart glasses, combining design expertise with AI capabilities.
• Papa John’s International is expanding its use of Google Cloud AI technology to enhance its ordering and delivery systems.

For product developers interested in AI applications in retail and e-commerce, exploring these case studies and emerging tools can provide valuable insights. Consider checking out specialized AI courses and resources at Complete AI Training to deepen your expertise.