Google Unveils AI Virtual Try-On & Smart Shopping Features
▼ Summary
– Google introduced three new AI-powered shopping features: virtual try-on, enhanced price alerts, and an upcoming style inspiration tool.
– The virtual try-on tool is now available nationwide in the U.S., allowing users to upload photos to visualize clothing on their bodies.
– Enhanced price alerts let shoppers set criteria like size, color, and target price for more personalized deal tracking.
– A style inspiration feature launching in 2025 will use AI to provide outfit and room design ideas based on user queries.
– E-commerce marketers must prioritize high-quality product images, competitive pricing, and visual search optimization to leverage these AI tools effectively.
Google has introduced three innovative AI-powered shopping tools designed to transform how consumers browse and purchase products online. These updates include a nationwide virtual try-on feature for apparel, smarter price tracking alerts, and an upcoming visual inspiration tool set to launch later this year.
The virtual try-on tool, now available to all U.S. users, allows shoppers to upload a full-body photo and visualize how clothing items will look on them. Accessible through Google Search, Shopping, and product image results, the feature lets users tap a “try it on” button, upload their image, and receive an AI-generated preview. Shoppers can save favorite outfits, revisit past try-ons, and even share results with friends. The tool leverages Google’s Shopping Graph, which indexes billions of apparel items to provide a vast selection of options.
Another key update is the enhanced price tracking system, which now supports alerts based on specific preferences like size, color, and target price. This refinement gives shoppers greater control over deal notifications, ensuring they only receive relevant price drop alerts for products that match their exact criteria.
Later this year, Google will roll out an AI-driven style inspiration feature within its AI Mode. This tool will generate outfit and room design ideas based on user queries, utilizing vision match technology and drawing from over 50 billion products in the Shopping Graph.
For e-commerce marketers, these advancements present both opportunities and challenges. High-quality, standardized product images will be crucial for inclusion in AI-powered displays, especially with virtual try-on now widely available. Competitive pricing strategies will also gain importance as consumers gain more precise control over deal tracking. Additionally, retailers should optimize their product feeds with detailed attribute data to ensure visibility in Google’s visual-first shopping experiences.
As AI continues to reshape online shopping, businesses must adapt by refining their product presentation, pricing, and data optimization strategies. Google’s latest tools promise a more personalized and interactive shopping journey, setting new expectations for how brands engage with customers in an increasingly AI-driven marketplace.
(Source: Search Engine Journal)
