Google has unveiled a major overhaul of its shopping experience in India, integrating advanced artificial intelligence tools across its Gemini app, Search, and Circle to Search feature. The upgrades aim to streamline product discovery, enhance visual and conversational shopping, and provide users with real-time insights on pricing, availability, and reviews. By combining its Gemini AI models with the expansive Shopping Graph, Google is positioning itself as a more intuitive shopping assistant for Indian consumers.
The updates are designed to make online shopping faster and more efficient, reducing the need for multiple apps or complex search queries. Users can now access these AI-driven features directly within familiar platforms, offering a seamless and multilingual experience in both English and Hindi.
Also read: Google Unveils Gemma 4: Open AI Models Designed to Run From Data Centres to Smartphones
Gemini App: Smarter Shopping in Chat
The Gemini app now offers an integrated shopping experience, allowing users to brainstorm gift ideas, plan outfits, or browse products within a single chat interface. Users can ask Gemini for shoppable product listings, side-by-side comparisons, pricing from across the web, and even links to retailers, all without leaving the app.
This functionality leverages Google’s Shopping Graph, a dynamic repository containing over 50 billion product listings, with roughly 2 billion updated hourly. By tapping into this database, Gemini ensures that product availability, pricing, and details are always current. The app’s conversational AI allows users to interact naturally with the system, moving from ideation to purchase in a streamlined process.
Conversational Shopping in AI Mode
Google Search’s AI Mode has also received a significant upgrade tailored for shoppers in India. The feature now offers “intelligently organized responses” that combine visuals, real-time pricing, reviews, and product availability in one cohesive view. Users comparing products can see side-by-side tables highlighting key features and insights derived from customer reviews.
Unlike traditional keyword-based searches, AI Mode enables more natural queries, providing contextual and personalized results. By integrating Gemini’s AI capabilities and the Shopping Graph, Google aims to reduce the friction in online shopping and help consumers make better-informed decisions.
Circle to Search: Visual Discovery Expanded
Circle to Search, a visual search tool available on devices such as the Google Pixel 10 and Samsung Galaxy S26 series, has been enhanced to identify multiple objects within a single image. Users can tap, scribble, or circle entire outfits or collections of items to discover individual components like shoes, tops, and accessories. The tool then provides options to explore similar products and recreate the look directly from the image.
This feature is particularly aimed at social media shoppers looking to replicate outfits or home décor ideas, bridging the gap between inspiration and actionable shopping.
Why This Matters
Google’s integration of AI-driven shopping into existing platforms reflects a broader trend toward conversational commerce and visual discovery. By combining Gemini’s natural language processing with real-time product data from the Shopping Graph, the company is making online shopping more intuitive, personalized, and efficient. For Indian consumers, these updates could significantly cut down time spent comparing products across multiple sites, while providing more confidence in purchasing decisions.
Industry Impact
The upgrades also signal a strategic push by Google to capture a larger share of the Indian e-commerce market, which is projected to exceed $200 billion by 2026. By embedding AI shopping tools into widely used apps and devices, Google positions itself not just as a search engine but as a comprehensive shopping assistant, competing with established players like Amazon and Flipkart.