Gurugram: Marking its 15-year anniversary, Delhivery, India’s largest logistics services provider, has announced the launch of Delhivery Maps, an AI-native geospatial API suite built specifically to address India’s complex and unique logistics and addressing ecosystem.
Developed as proprietary infrastructure to power Delhivery’s nationwide logistics network, the platform is now being made commercially available to enterprises, developers, and gig-economy platforms.
Unlike traditional consumer-focused mapping platforms designed for passenger navigation, Delhivery Maps has been engineered specifically for commercial shipping and logistics operations. The platform integrates critical operational variables including heavy vehicle and bike speeds, routing constraints, incomplete address inputs, and landmark-based navigation to improve routing efficiency and delivery accuracy.
The platform’s performance is backed by historical metadata generated from more than two billion shipments and one billion daily GPS pings captured from Delhivery’s active fleet of over 100,000 vehicles.
By replacing third-party mapping providers across its Express Parcel, Part-Truckload Freight, Supply Chain Services, and Delhivery Local businesses, the company says Delhivery Maps has already demonstrated commercial scalability, operational reliability, and cost efficiency.
Commenting on the launch, Kapil Bharati, Executive Director and CTO of Delhivery, said, “We built Delhivery Maps out of operational necessity to run India’s largest logistics network intelligently and solve for unstructured addresses and commercial routing rules at a massive scale. Opening up the API and AI Models externally marks our entry as a commercial geospatial infrastructure provider.”
At the core of the platform is Naksha LLM, Delhivery’s proprietary geospatial reasoning model designed to move beyond conventional static databases by enabling dynamic reasoning loops for location intelligence.
Delhivery Maps offers a full stack of mapping capabilities including Auto-Complete, Geocoding, Reverse Geocoding, Vehicle-Aware Routing, Navigation, Distance Matrix, and Map Tiles. Through Delhivery Maps MCP, developers can access both APIs and Naksha LLM to build advanced AI workflows and autonomous agents requiring location-aware intelligence.
The company said the solution is designed to address operational inefficiencies across sectors including e-commerce, quick commerce, hyperlocal delivery, ride-hailing, and gig platforms by enabling use cases such as geospatial analysis, address validation, route planning, dispatch optimisation, ETA prediction, vehicle-specific routing, and reducing fare disputes and driver friction.
Delhivery Maps APIs are now available for commercial integration as the company expands beyond logistics into the geospatial infrastructure and enterprise technology space.
