Swiggy lets users order through ChatGPT, Claude
Swiggy is enabling users to order meals, groceries, and book tables directly through AI assistants such as ChatGPT and Gemini, pushing commerce beyond traditional app interfaces.
Foodtech major Swiggy on Tuesday said it has enabled users to order food, groceries, and book restaurant tables directly through conversational artificial intelligence tools such as ChatGPT, Claude, and Google Gemini, embedding commerce inside AI chat interfaces.
The quick commerce and food delivery company said the integration is powered by the Model Context Protocol (MCP)—an open-source framework that allows AI systems to securely connect to live services and execute transactions. The rollout spans Swiggy Food, its restaurant delivery business; Instamart, its quick commerce arm; and Dineout, its dining-out platform.
Customers can now browse and purchase from over 40,000 products using natural language prompts, bypassing traditional app-based navigation.
The move reflects a broader shift toward what technology executives call "agentic AI," in which software agents move beyond answering queries to handling tasks such as search, comparison, checkout, and delivery tracking. In Swiggy's case, an AI assistant can assemble a grocery cart, apply coupons, confirm addresses, and place an order, or find a restaurant and complete a table reservation in a single conversational flow.
Madhusudhan Rao, CTO of Swiggy, said the integration aims to reduce friction in everyday decisions, particularly in a market where convenience is shaped by time constraints and routine needs. Conversational commerce, he said, lets users simply express intent while software agents handle execution.
Users connect to Swiggy's services through custom connectors, without opening the company's app. Swiggy has also published technical specifications through a public GitHub repository, signalling an effort to attract developers and AI platforms to build on its systems.
For Swiggy, the MCP integration lays the groundwork for more personalised use cases, meal planning, dietary-specific shopping, and occasion-based ordering—while maintaining what it described as privacy-first safeguards.
In India, only a handful of companies have made comparable moves into AI-native commerce. The closest parallel is BigBasket, which participated in a pilot allowing users to shop and pay via ChatGPT using UPI, enabling end-to-end transactions through a conversational AI interface.
Platforms such as JioMart have enabled chat-based ordering through WhatsApp, while Zomato has deployed AI primarily for recommendations and internal workflows rather than full conversational ordering via third-party AI assistants.
Swiggy's MCP integration places it among a small group of Indian companies experimenting with agent-driven commerce outside their own apps, rather than simply layering AI onto existing interfaces.
Edited by Suman Singh