Key Takeaways
1. Gemini AI Integration: Google is integrating its Gemini AI into all applications and services, enhancing user experience across platforms.
2. Virtual Try-On Feature: Users can virtually try on clothes by uploading a full-body image, with billions of clothing items available for selection.
3. Social Sharing Options: Users can save AI-generated images of outfits and share them with friends and family for feedback.
4. Price Tracking Feature: The “Track Price” option alerts users when their desired product prices drop, incorporating local retailers.
5. Personalized Search Suggestions: Gemini AI offers tailored recommendations based on user needs, such as suggesting materials for travel-related purchases.
Google I/O 2025 focused heavily on advancements in artificial intelligence. The Gemini AI is progressively being integrated into all of the applications and services provided by the tech giant. This integration extends to Google Shopping, which reportedly showcases more than 50 billion products sourced from both local shops and major shipping companies.
User-Friendly Features
At present, this function is exclusively available in the United States, yet it serves as an impressive preview of future innovations. To get started, users need to sign up for Search Labs, pick their favorite clothes, and then click on “Try on.” This process requires users to upload a full-body image of themselves, enabling the Gemini AI to demonstrate how the chosen apparel appears when “worn.” Google claims that there are billions of clothing items available for virtual fitting. For those seeking a second opinion, users can save the AI-generated images of their selected outfits and share them directly with friends and family.
Price Tracking Made Easy
Another noteworthy feature is the “Track Price” option, which operates much like traditional price comparison sites and incorporates local retailers. As per usual, users will receive alerts when their desired price is met. Furthermore, the AI is tailored to meet the specific needs of users during their searches. For instance, if someone is in search of a bag for a journey to a particular location, Gemini will suggest what type of material would be ideal for that destination, such as waterproof if traveling to London. This is meant to alleviate the hassle of independent research. These AI-driven functionalities are anticipated to roll out in the U.S. shortly.
Source:
Link