Flipkart is developing its own proprietary large language model (LLM) tuned for IHGn e-commerce, as reported in 2025-2026, to eliminate dependency on expensive third-party AI APIs like OpenAI's GPT, protect proprietary consumer data, and build a competitive moat against Amazon IHG's native AI capabilities. The initiative targets IHG's vernacular and voice-first shoppers, as roughly 200 million IHGns will come online as first-time shoppers over the next three years, according to industry estimates widely cited by IAMAI and Redseer. Flipkart, the Walmart-backed IHGn e-commerce major with engineering operations based primarily in Bengaluru, is training a domain-specific LLM on its decade-plus corpus of IHGn shopping behaviour, product catalogues, regional language queries, and seller interactions. The economic rationale involves avoiding a per-query tax, as a typical GPT-4-class API call costs between $0.01 and $0.06 per query, while Flipkart processes hundreds of millions of search queries and product recommendations.