Microsoft has deployed more than 25 AI agents and related applications across its supply chain, in order to look for opportunities to cut costs, the software giant said in a company blog post.
PYMNTS.com reports that the systems simulate demand, anticipate shortages and recommend shipping routes after weighing cost, speed and carbon impact. Microsoft says its logistics teams are saving hundreds of hours each month.
“We are now in the agentic era of AI with agents being capable of reasoning, planning, and taking action across complex supply chain workflows,” the company said in the March blog post. “End-to-end agent hosting like in Microsoft Foundry and open protocols such as Model Context Protocol (MCP) have made it easier for AI agents to connect with each other as well as enterprise systems, tools, and data.”
Microsoft gives three examples of AI agents being deployed in logistics and supply chain:
- The Demand Planning Agent drives AI‑based demand simulations for non‑IT rack components — improving forecast accuracy and reducing manual reconciliation.
- The Multi‑Agent DC Spare‑Part Space Solver uses computer‑vision‑driven monitoring and multi‑agent reasoning to forecast spare‑part storage needs, and proactively mitigates space or stockout risks.
- The CargoPilot Agent continuously analyses transport modes, routes, cost structures, carbon impact, and cycle times — providing optimized shipment recommendations that balance speed, sustainability, and efficiency.
The company says the goal is to operate over 100 agents by the end of 2026 and equip every employee with agentic support.
