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Google experiments with AI‑driven shopping on Flipkart in India

Google experiments with AI‑driven shopping on Flipkart in India

Google has begun a limited trial that lets users purchase select items from Flipkart, the Walmart‑owned Indian marketplace, directly through its Gemini AI model and the AI Mode interface. The trial is currently restricted to a narrow set of products and a small user group, with a wider rollout expected later in October.

The integration leverages Gemini’s conversational capabilities, allowing shoppers to ask the model for product recommendations, compare features, and complete transactions without leaving the chat environment. By embedding the checkout flow within AI Mode, Google aims to streamline the e‑commerce experience and test how conversational commerce can compete with traditional app‑based shopping.

Flipkart, which commands a substantial share of India’s online retail market, has been expanding its ecosystem through partnerships that bring new technology to its platform. The collaboration with Google follows a broader industry trend of embedding artificial intelligence into shopping journeys, a move that promises faster decision‑making for consumers and potentially higher conversion rates for retailers.

Industry observers note that the test comes at a time when both companies are seeking deeper engagement in the Indian market. Google’s Gemini model, introduced as a successor to its earlier language models, has been positioned as a cornerstone of the firm’s generative AI strategy. Meanwhile, Walmart continues to invest heavily in Flipkart to capture growth in a country where mobile commerce is surging.

While the trial is still in its early stages, the companies have indicated that data collected will inform how the service can be scaled. Metrics such as user satisfaction, transaction completion rates, and the range of product categories that can be effectively handled by the AI will shape the upcoming broader deployment slated for October.

Analysts caution that the success of AI‑driven purchasing will depend on factors like pricing parity, trust in AI recommendations, and the ability to handle complex queries such as returns or warranty information. Should the expanded rollout prove effective, it could signal a shift toward more integrated, voice‑oriented shopping experiences across India’s rapidly digitising consumer base.

Source: techcrunch
Christina Kyriasoglou — Bloomberg (Berlin, Germany)

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