News
Google Shopping: AI Mode and Virtual Try-On Updates
Source: blog.google
Published on May 28, 2025
Core topic: Google Shopping AI Mode
Keywords: Google Shopping, AI Mode, virtual try-on, Shopping Graph, agentic checkout, personalized shopping, dynamic recommendations, price tracking, visualization technology, retail innovation, e-commerce trends, AI in retail, online shopping, interactive shopping, technology updates
Main keywords: Google Shopping, AI Mode, virtual try-on, Shopping Graph, agentic checkout, personalized shopping, dynamic recommendations, price tracking, visualization technology, retail innovation
Supporting n-grams: AI-powered shopping, virtual try-on tool, Shopping Graph, agentic checkout, personalized shopping experience, dynamic product recommendations, price tracking, visual try-on technology, Shopping Graph updates
Google Shopping Introduces AI Mode and Virtual Try-On Updates
Google has unveiled significant updates to its shopping platform, introducing AI Mode and enhanced virtual try-on features. These innovations aim to transform the online shopping experience by integrating advanced AI capabilities with personalized recommendations and interactive visualization tools.
The new AI Mode, announced on May 20, 2025, enhances every step of the shopping journey, from inspiration to purchase. Shoppers can now use personal photos to virtually try on clothing, making the process more immersive and tailored to individual preferences.
AI Mode: Redefining the Shopping Experience
AI Mode leverages Google's Shopping Graph, which includes over 50 billion product listings from global retailers and local shops. This extensive database provides real-time updates on reviews, prices, colors, and availability, ensuring shoppers have access to the most current information. The integration of Gemini capabilities further enhances the shopping experience by offering personalized guidance and dynamic product recommendations.
When users describe their preferences, AI Mode displays a curated selection of images and product listings tailored to their tastes. The system also considers factors like weather suitability to refine search results, ensuring that recommendations are both relevant and practical.
Agentic Checkout: Streamlining Purchases
The introduction of agentic checkout simplifies the purchasing process by allowing users to set their preferred size, color, and price for a product. By tapping "track price," shoppers can receive notifications when their desired price is available. Once notified, they can confirm the purchase details and complete the transaction seamlessly via Google Pay.
This feature is designed to help users buy products at their desired price without the need for constant monitoring. It will be rolled out to product listings in the U.S. in the coming months, further enhancing the convenience of online shopping.
Virtual Try-On: Revolutionizing Clothing Shopping
The virtual try-on technology allows shoppers to visualize how clothes look on different body types by uploading a photo. This innovative tool uses a custom image generation model that understands the nuances of clothing and human body dynamics, preserving details when applied to personal photos. Shoppers can see how clothes look on them, save their favorite looks, or share them with friends.
This feature is part of the "try on" experiment rolling out in Search Labs in the U.S. It enables users to tap the "try it on" icon on product listings and upload a full-length photo to see how the clothing fits. This interactive experience brings a new level of personalization to online shopping.
Impact on the Retail Industry
These updates to Google Shopping are expected to have a significant impact on the retail industry. By combining AI-powered recommendations with interactive visualization tools, Google is setting a new standard for personalized and immersive shopping experiences. Retailers can benefit from increased engagement and customer satisfaction, while shoppers enjoy a more intuitive and enjoyable shopping process.
As these features become more widely available, they are likely to influence broader trends in e-commerce, driving innovation and raising expectations for interactive and personalized shopping experiences.