Google Tests Gemini Shopping in India: AI Mode Integrates with Flipkart

Google is testing a new feature in the Indian market that allows users to purchase products directly from Walmart-owned e-commerce platform Flipkart through the Gemini assistant and Search's AI Mode. The test is currently limited in scope, covering only select products and specific user groups, with a broader rollout planned for later this month.

AI Shopping Moves from Discovery to Transaction

This move marks Google's effort to extend its generative AI capabilities from information retrieval into actual commerce. In the past, searching for products typically returned links and price comparisons. By integrating Gemini with Flipkart's product catalog, Google aims to complete the entire shopping journey — from discovery and comparison to final purchase — within an AI conversation or AI Mode interface.

In a market like India, where e-commerce competition is fierce and mobile-first behavior dominates, this kind of "conversational shopping" experience could fundamentally change how users find and buy products. Instead of switching between multiple apps, users simply describe what they need to the AI, receive recommendations, and complete the purchase directly.

Google's AI Mode is a generative AI-enhanced layer built into its search product. Rather than returning a list of blue links, it uses a large language model to synthesize information from multiple sources into a structured response. Gemini, meanwhile, is Google's multimodal LLM assistant, already integrated into Android devices, Google Search, and numerous Google apps. Connecting Flipkart's product catalog to both of these surfaces means Google is inserting a transaction layer at the exact moment user intent is strongest — when someone is actively searching or asking about a product — dramatically shortening the path from "want to buy" to "order placed."

This approach is known in the industry as Conversational Commerce: the core idea is that AI understands a user's natural language request and automatically handles product matching, price comparison, and purchase redirection, rather than relying on users to manually filter search results.

Google and Walmart's Strategic Partnership

The choice of partner is notable. Flipkart is one of India's largest homegrown e-commerce platforms, acquired by Walmart in 2018. Google and Walmart have collaborated on multiple fronts before, and their latest joint move in AI shopping can be seen as another strategic play against shared competitors like Amazon.

For Walmart, tapping into Google's massive search and AI user base means Flipkart can reach a much broader pool of potential buyers. For Google, Flipkart's rich local product inventory and fulfillment capabilities provide a real transactional backbone for its AI shopping features.

The Google-Walmart relationship dates back to 2017, when the two companies announced a voice shopping partnership allowing consumers to purchase Walmart products through Google Assistant. Since then, they've deepened ties in cloud services (Walmart uses Google Cloud) and retail technology. Looking at the competitive landscape, Amazon owns both an e-commerce platform and the Alexa voice assistant, creating a closed loop of traffic and transactions — precisely where both Walmart and Google individually fall short. Google has traffic but lacks product fulfillment; Walmart has inventory and warehousing but lacks a search entry point. This India collaboration is a continuation of their long-term strategy to counter Amazon through complementary strengths, and could serve as a blueprint for replicating the model in other markets.

Why India First

India is one of the world's fastest-growing digital consumer markets, with a large and young internet population and rapidly expanding smartphone penetration. Google's decision to pilot AI shopping in India reflects both the market's scale and growth potential, as well as Flipkart's role as a mature local partner with established e-commerce infrastructure.

The limited-test approach is a prudent one — validate functionality, user acceptance, and transaction conversion at small scale before deciding whether to expand. The fact that a broader rollout is planned for later this month suggests Google has reasonable confidence in early results and is preparing to scale.

What This Means for AI Shopping

Combining large language models with e-commerce transactions is a direction the major tech players are racing to explore. AI is no longer just a tool for answering questions — it's increasingly taking on the role of shopping assistant and even transactional agent. Google's test in India is a concrete manifestation of this trend.

That said, AI shopping still faces significant challenges before it matures: ensuring neutrality and accuracy in product recommendations, handling payments and post-purchase support, and balancing monetization with user experience are all questions that need to be answered in practice. This India pilot may provide some early answers.

Given the information currently available, Google has not disclosed which product categories are included, how many users are participating in the test, or the precise role AI plays in purchase decisions. These details will become clearer as the rollout progresses.

Google isn't the only player in the AI shopping space. OpenAI has explored product recommendations via ChatGPT's shopping plugins and GPT-4o's image recognition; Perplexity AI launched a "shopping mode" with built-in buy buttons; and Meta has integrated product tagging and AI recommendations into Instagram and WhatsApp. Compared to these competitors, Google's core advantage lies in its search engine processing billions of queries with clear purchase intent every day, along with its long-established Google Shopping partnerships with global retailers. However, AI's role in facilitating transactions has also drawn regulatory scrutiny — the EU's Digital Markets Act has already placed restrictions on Google's self-preferencing of products in search results, and the expansion of AI shopping features could face similar compliance pressure.