How to Use Google's AI Shopping Features in India? Follow Our Comprehensive Step-By-Step Guide

Google is launching a suite of AI-driven shopping tools in India, designed to make online retail more intuitive and personalized. Powered by the latest Gemini models and integrated with the Shopping Graph, these features allow users to discover, compare, and select products directly within the Google ecosystem.

The Shopping Graph currently tracks over 50 billion product listings, with real-time updates on stock levels and pricing. These new tools expand upon existing features like Virtual Try-On, integrating them deeply into the Gemini app, Google Search, and Circle to Search.

Shopping in the Gemini App

In the Gemini app, product discovery is now a conversational experience. Instead of basic text suggestions, Gemini provides:

• Interactive Product Cards: Visual summaries of items.
• Live Price Comparisons: Data pulled from across the web.
• Direct Purchase Links: Seamless transitions from research to checkout.

Users can describe their specific needs in natural language, such as "find a waterproof trekking jacket for monsoon season," and receive tailored options that align with Indian shopping preferences.

How to Use Gemini for End-to-End Shopping

1. Open the Google Gemini app on your phone
2. Type a natural query (e.g., "Best budget smartphones under Rs. 30,000")
3. Review AI-generated suggestions with product listings
4. Scroll through price comparisons across multiple sellers
5. Use the comparison table to evaluate features, reviews, and pricing
6. Tap on a product to view buying options directly

Tip: You can also ask follow-up questions like "Which one has better battery life?" without starting over.

Enhanced Search and Circle to Search

AI-Powered Search has been upgraded to handle complex shopping queries. It now provides structured answers including reviews, high-quality images, and stock availability. A key highlight is the ability to automatically generate comparison tables, allowing users to view product specs side-by-side without manual effort.

How to Use Circle to Search for Instant Shopping

1. Open any image (Instagram, gallery, browser, etc.)
2. Activate Circle to Search (long-press home or gesture)
3. Circle, tap, or scribble over an item (or entire outfit)
4. Let AI identify multiple products in the image
5. Browse similar items with prices and links
6. Tap a result to explore or buy

Tip: Works especially well for fashion, outfits can be broken into individual items.

Circle to Search is also becoming more powerful for Indian fashion enthusiasts. Users can now highlight multiple items within a single image simultaneously. For instance, you can "circle" an entire outfit, and the AI will identify and suggest similar items for each individual piece (shoes, pants, and shirts) instantly.

How to Use AI Mode in Google Search

1. Open Google Search
2. Enter a conversational query (e.g., "Good laptops for students under Rs. 60,000")
3. View structured results with images, prices, and reviews
4. Explore side-by-side comparison tables (if comparing products)
5. Refine your search with follow-up prompts
6. Click on a listing to proceed to purchase

Tip: You don't need exact keywords, just ask like you would talk to a person.

Experience Clothing Virtually Before You Buy

Virtual Try-On is reshaping online apparel shopping by letting you preview how clothes will look before you buy. This feature helps eliminate guesswork around fit and style, making it easier to choose confidently. Whether using your own photo or a model preview, Virtual Try-On adds a personalized layer to digital shopping while streamlining the journey from discovery to checkout.

How to Use Virtual Try-On for Apparel

• Step 1: Search for clothing items via Gemini or Google Search
• Step 2: Select a product that supports Virtual Try-On
• Step 3: Upload your photo or use a model preview
• Step 4: See how the outfit looks on you
• Step 5: Decide and proceed to purchase

Language and Availability

Google is rolling out these AI-driven features with support for both English and Hindi. The company has confirmed that these tools are part of an ongoing effort to streamline product research and make digital commerce more convenient for Indian users across all mobile devices.