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Google tests direct Flipkart purchasing within Gemini and AI Mode in India

Google is testing a feature allowing select users in India to purchase products from Walmart-owned Flipkart directly through the Gemini interface and AI Mode.

4 min readRead the original reporting
Source-provided image accompanying Google tests direct Flipkart purchasing within Gemini and AI Mode in India
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techcrunch.com
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techcrunch.comhttps://techcrunch.com/2026/09/26/google-tests-buying-from-walmart-owned-flipkart-through-gemini-and-ai-mode-in-india/
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Reporting by a news outlet β€” not a first-party document.

What we could not confirm independently: This claim is attributed to the named outlet. We did not verify it against a first-party document. (techcrunch.com)

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Key terms

Feature
An input variable used by a model to make predictions.
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What happened

Google has initiated a limited test in India that enables users to purchase products from Flipkart directly within the Gemini and AI Mode interfaces. According to TechCrunch, the test introduces a 'Buy' button on specific product listings, such as electronics and smartphones, which triggers a Flipkart-branded checkout flow without requiring the user to leave the AI environment.

Google is currently conducting an early-stage test in India that allows users to complete purchases from Flipkart directly within the Gemini and AI Mode interfaces. The is currently limited to a small subset of users and a restricted range of products, primarily focusing on electronics, smartphones, and mobile accessories.

When a user interacts with a supported Flipkart listing, a 'Buy' button appears. Selecting this button initiates a Flipkart-branded checkout flow. This implementation appears distinct from Google's previously discussed Universal Commerce Protocol (UCP), which was designed to facilitate a Google-hosted checkout experience.

The test is part of a broader effort by Google to integrate 'agentic' shopping capabilities into its AI services. While Google has confirmed that Flipkart is a partner for these experiences, it has not provided specific details regarding the technical architecture or the full scope of the rollout.

Google maintains a financial interest in Flipkart, having invested approximately $350 million in the company in 2024. This relationship complements the ongoing technology partnership between the two firms.

Source details: techcrunch.com β†—

Why it matters

This development marks a significant shift in Google's AI strategy, moving from simple product discovery and recommendation to direct transaction facilitation. By integrating commerce directly into the AI interface, Google aims to capture more value from the consumer shopping journey. This move is particularly strategic in India, where Google is leveraging its existing financial stake in Flipkart to compete against Amazon during the high-volume festive shopping season. The integration of agentic shopping experiences suggests a broader industry trend where AI models act as intermediaries for e-commerce, potentially altering how consumers interact with online retailers and how platforms capture conversion data.

The integration of direct purchasing into AI interfaces represents a fundamental evolution in how search engines and AI assistants monetize user intent. By shortening the path to purchase, Google is positioning Gemini as a comprehensive shopping assistant rather than just a research tool.

For the Indian market, this is a critical move ahead of the festive shopping season, a period characterized by intense competition and high consumer spending. By prioritizing Flipkart, Google is strengthening its ecosystem in a key growth market.

The move highlights the 'agentic' shift in AI, where models are increasingly expected to perform tasks on behalf of users, such as executing financial transactions, rather than merely providing information.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:πŸ›‘οΈ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language modelβ€”it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

The primary focus is the broader rollout of this , which is reportedly planned for later in October. It remains unclear how Google will scale this beyond the current limited test or if it will extend the 'Buy' functionality to other retailers, such as Amazon, which currently appears in search results without the direct purchase option. Additionally, the underlying technology powering this specific Flipkart-branded checkout remains unconfirmed, as it differs from Google's previously announced Universal Commerce Protocol (UCP). Observers should monitor whether this integration leads to increased conversion rates for Flipkart and how it impacts the competitive landscape between major e-commerce players in the Indian market.

A wider rollout is expected in late October. It is currently unknown if this will be expanded to other retailers or if it will remain exclusive to Flipkart.

The technical mechanism behind the checkout flow remains an unknown. It is unclear if this will eventually transition to the UCP standard or if Google will maintain custom integrations for specific retail partners.

Market analysts will be watching to see if this provides a measurable competitive advantage for Flipkart over Amazon in India, particularly regarding conversion rates and user retention during the festive season.

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