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Google’s New AI Try On Tool Could Change How You Shop for Clothes

3 min read.

Author

Midas AI
July 25, 2025

Google has launched a trio of AI shopping features, with virtual try on at the centre of the update. The tool lets users upload a full body photo and see how clothing looks on their own body. This marks a shift from model based previews to personalized visual experiences. It is now live across Google Search, Shopping, and product results on Google Images in the United States.

How It Actually Works

When browsing apparel in AI Mode, you will see a try it on icon on eligible products. Tap it, upload your photo, and within moments, you see an image of yourself wearing the item. If you like the look, you can save or share it. The AI is trained to respect how fabrics drape, stretch, and fold, creating realistic simulations. The feature is powered by a new custom image generation model and connected to Google’s Shopping Graph, which includes more than fifty billion product listings.

This functionality builds on Doppl, Google’s experimental AI fashion app launched earlier this summer. Doppl offers video based try ons and deeper style curation using the same AI engine but allowing more creative exploration.

Why It Matters Now

This marks a major leap in how people shop online. Instead of guessing how a dress or shirt will look, shoppers can visualize it directly on themselves. Early results show that shoppers engage more and stay longer. User activity and willingness to explore multiple looks rose significantly with personalized try on previews.

Return rates in fashion and cosmetics remain high. Digital try ons reduce uncertainty, boost buyer confidence, and improve retention. Analysts expect higher conversion and lower friction as consumers embrace this familiar and visual experience.

What Comes Next

Google is also rolling out smarter price alert tools. Shoppers can now track deals based on size, color, and budget, receiving notifications only when a preferred item drops in price. Later this year, AI Mode will add visual inspiration tools powered by generative AI, letting users search through visual prompts for outfit ideas and décor arrangements.

In retail, brands and ecommerce platforms will need to optimize product data, refresh imagery, and support rich metadata for clothing attributes. AI shopping assistants and intelligent checkout flows are becoming standard expectations.

Why Retailers and Founders Should Care

If you build or sell products online, this signals a change in how discovery and transactions happen. Keyword search and static listings are giving way to interactive, visual, and AI supported experiences.

Building agents that connect conversational flows, real time inventory, loyalty systems, and brand personalization is now critical. Ensuring data hygiene and integration readiness will give companies leverage as AI features expand.

For companies in fashion or visual commerce, now is the moment to pilot AI try on, test engagement lift, and prepare for broader AI enhancements in shopping workflows.

Your Next Moves

Look at your most popular apparel or accessories and update visuals for AI platforms. Track conversion metrics for AI Mode traffic. Experiment with personalized try on prompts and gather customer feedback.

Ensure your product catalog is structured. Standardize metadata like size, fit, material, and brand. Enable real time inventory and price data so AI agents can deliver accurate options.

AI powered fashion discovery is no longer optional. The tools that can visually close the gap between imagination and purchase will win.

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