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TransportOne, the logistics software unit of Delhivery, has launched an AI-led autonomous transport management system to automate freight operations for large shippers. The system handles procurement, shipment planning, execution, and invoice reconciliation with minimal human intervention, reducing errors and revenue leakage. Built on a multi-agent architecture, different AI agents focus on procurement, execution, and invoicing, while users can interact through Microsoft Teams and WhatsApp using natural language. The platform reflects a growing shift toward automation in logistics, enabling teams to focus on oversight and strategic decisions rather than manual coordination.
TransportOne, a logistics software unit of Delhivery, has introduced an autonomous transport management system (TMS) to streamline freight operations for large shippers. The system applies artificial intelligence agents to core logistics tasks, including procurement of carriers, shipment planning, execution, and invoice reconciliation. Unlike traditional TMS platforms, which still require significant manual input, TransportOne's platform is designed to operate independently, involving humans only when exceptions or unusual situations arise. Advertisement
The system is built on a multi-agent structure, with each AI agent assigned to specific tasks. Procurement agents handle carrier selection and negotiate spot rates, execution agents track shipments, monitor delays, and flag issues, while invoice agents reconcile bills using contract terms, GPS data, and proof of delivery. This setup addresses common challenges in large-scale freight operations, such as revenue leakage due to rate mismatches and billing errors.
TransportOne's platform also allows users to interact through Microsoft Teams and WhatsApp using natural language prompts. This reduces the need for constant monitoring, shifting the role of logistics teams from day-to-day coordination to oversight and exception handling. Uday Anand, vice president of product at TransportOne, explained that traditional TMS platforms force users to work for the system, whereas the autonomous TMS performs workflows in the background and only escalates true exceptions.
Delhivery operates one of India's largest logistics networks, covering nearly 19,000 pin codes and providing services that range from express parcels and freight transport to supply chain solutions. The launch of this autonomous TMS builds on Delhivery's previous efforts to improve logistics transparency and operational efficiency, such as the Freight Index One platform, which provides lane-level pricing data for freight planning. The platform aims to reduce manual workload, improve cost control, and enhance accuracy in freight operations.
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