Leading Indian ecommerce giants like Amazon, Flipkart, and Meesho are shifting their AI investments towards seller-focused tools, aiming to streamline operations and foster loyalty in a rapidly evolving landscape.
Indian ecommerce platforms are pushing artificial intelligence deeper into the business of selling, shifting attention from shoppers to merchants as competition intensifies. Amazon, Flipkart and Meesho have spent the past two years building consumer-facing tools such as smarter search, recommendations and chat assistants, but the latest battleground is the seller side: catalogue creation, pricing, advertising, forecasting and support. According to Inc42, the logic is straightforward: if platforms can help millions of merchants work faster and more accurately, they may strengthen loyalty, improve listings and ultimately grow sales without relying only on expensive customer acquisition.
Amazon has moved first with an AI seller assistant for its 1.7 million Indian sellers, built on its Bedrock platform and powered by Nova models and Anthropic’s Claude. The tool allows merchants to ask questions in plain English or Hinglish about onboarding, inventory, product catalogues and expansion. Amazon says the system has already reduced listing errors and cut routine work sharply. Meesho, meanwhile, said in its latest shareholder letter that its AI voice service now handles up to 300,000 seller calls a day, while its annual transacting seller base has risen to 1.04 million, with a large share coming from smaller towns.
Flipkart is taking a slightly different route by turning its seller technology into a product for other retailers through Flipkart Commerce Cloud, which it describes as an AI-ready commerce stack based on data from billions of transactions. The company has also focused on sellers in smaller cities, offering demand forecasting, pricing intelligence and trend analysis intended to help with inventory, manufacturing and pricing decisions. Beyond the big platforms, a growing cottage industry of seller tools is emerging in India, including services that generate listings from product photos, automate catalogues, track margins and reconcile marketplace fees, underlining how quickly AI is becoming part of the seller workflow.
Yet the commercial payoff remains hard to measure. Sellers and founders told Inc42 that AI can compress tasks that once took teams of people, from writing listings to managing ad campaigns, but they also warned that it should remain a co-pilot rather than an autonomous decision-maker. Some said algorithmic tools can improve efficiency, but they cannot replace product judgment, customer understanding or brand identity. A recent Snapdeal Bharat Seller Report found that 46% of sellers now make more than three-quarters of their sales online, while 44% said they do not use AI tools at all, suggesting that adoption is still uneven and that price sensitivity remains the dominant force in Indian ecommerce.
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