Pando, the leading supply chain TMS company, has been recognized by Gartner as a Visionary in the 2026 Magic Quadrant for Transportation Management Systems, marking its second consecutive year in the Visionary quadrant.

This recognition reflects Pando’s continued focus on rearchitecting transportation management, shifting from fragmented systems and manual coordination to an intelligent, AI-driven execution layer that connects decisions, workflows, and ecosystem partners.

Over the past years, Pando has expanded its TMS beyond workflow automation by embedding agentic AI directly into core logistics operations. These AI agents not only assist but actively guide and execute decisions across dispatch planning, freight procurement, shipment execution, and financial reconciliation, continuously adapting to real-world constraints and performance signals.

What makes this possible is the intelligence the platform is built on. Pando is powered by over a decade of compounded freight intelligence, built from real shipment flows, carrier interactions, lane behaviour, and execution outcomes across global supply chains, and structured through its logistics knowledge graph.

This allows Pando's AI agents to operate with context, not just rules, interpreting trade-offs, learning from outcomes, and continuously improving how decisions are made and executed across the network.

“Supply chain has always carried a hidden cognitive load, with teams constantly interpreting signals, making trade-offs, and chasing alignment across the network,” said Badrinath Setlur, CEO of Pando.ai. “Pando is designed to take on that load. More importantly, it makes every decision traceable, from the moment it’s made to the impact it delivers on cost and service. Being recognized as a Visionary for the second year in a row, in our opinion, reflects a shift toward systems that don’t just support execution, but take responsibility for it.”

This evolution is grounded in a few key shifts Pando has been investing in:

• Decision-Centric AI Embedded in Execution: AI agents interpret live operational signals to recommend and execute next-best actions, enabling context-aware decision-making across logistics workflows.
• True End-to-End Freight Orchestration: A unified operating layer spanning procurement, planning, execution, audit, and payment, designed to handle real-world exceptions, not just ideal scenarios.
• Data-backed Intelligence: Compounded freight intelligence from shipments, carriers, and lanes, continuously feeds into execution, turning historical data and live signals into decision advantage.
• Customer-Led Product Evolution: Pando’s roadmap is shaped in close partnership with global enterprises, ensuring the platform evolves in line with real operational complexity, not abstract feature sets.

Pando today supports Fortune 500 manufacturers, distributors, and retailers across North America, Europe, and Asia Pacific, helping them operate more resilient, responsive, and cost-efficient logistics networks.

To access a complimentary copy of the report 2026 Gartner Magic Quadrant for Transportation Management Systems, please visit 2026 Gartner Magic Quadrant for Transportation Management Systems.