At the 2025 I/O Developer Conference, Google released a brand-new AI shopping tool that allows users to virtually try on clothes simply by uploading a photo. This feature is supported by a custom-trained image generation model specifically for the fashion sector and represents the first large-scale integration of a virtual try-on experience into Google Search.
After the user uploads a photo, the system will generate realistic virtual dressing results to help users quickly assess the outfit effect and shorten the decision-making process. This feature not only enhances the immersion of online shopping but also marks the first direct integration of image generation technology into the e-commerce search scenario.
Furthermore, Google also launched a new checkout system driven by proxies. When users select a product, this system can track price changes in real time, push discount reminders, and automatically complete the entire process from placing an order to payment, significantly simplifying the purchasing path.
All features are built on top of Google's massive **"Shopping Graph." According to official sources, this graph updates hourly and covers more than 500 billion products**, providing the most up-to-date and extensive product data support for AI models.
Google's breakthroughs in AI-driven shopping scenarios not only demonstrate the broad application prospects of generative AI in the retail sector but also foreshadow that future searches will evolve from information retrieval into full-chain consumption entry points.