project44 Launches Autopilot to Automate AI-Driven Supply Chain Operations

New updates have been reported about project44.

project44 has introduced Autopilot, a no-code platform that allows supply chain teams to design, deploy, and govern AI agents that autonomously manage operational workflows across its Decision Intelligence Platform. Built on more than 18 months of live AI agent deployments on project44’s network, Autopilot is already tied to quantifiable outcomes, including a 4% reduction in freight spend, a 70% cut in manual coordination, sourcing cycles up to 75% faster, and disruption-related costs reduced by up to 40%.

Autopilot positions project44 to deepen its role as an AI orchestration layer for global logistics, shifting repetitive exception management, carrier outreach, and operational oversight from human teams to continuously running agents that act on real-time network signals. Customers gain a visual workflow canvas with pre-built templates derived from project44’s supply chain expertise, then adapt conditions, escalation paths, and notifications to their own carrier bases, lanes, and shipment types, while all agent actions remain fully logged and auditable.

The launch is designed for enterprise governance: administrators can control which workflows are active, set limits on agent outreach to avoid over-contacting carriers, manage contact directories, and enforce role-based permissions so only authorized users can alter configurations while others maintain visibility. This balance of speed and control was emphasized by founder and CEO Jett McCandless, who framed Autopilot as a way for customers to reduce freight costs, close data gaps, and unlock working capital tied up in inventory without sacrificing oversight.

Autopilot runs on project44’s logistics data graph, which connects more than 259,000 carriers and 1.5 billion shipments annually across 186 countries, processing over 700 million logistics events per day to continuously validate carrier and shipment data. That data scale enables AI agents to detect risks and gaps in real time, and the company reports that its agents have already initiated nearly one million automated carrier communications, with customer adoption of AI agents growing more than 235% year over year.

Customer feedback indicates that the platform’s configurability is a key differentiator, with users citing the ability to tailor workflows so that the right tasks reach the right people and less technical carriers can be integrated without adding operational complexity. Strategically, Autopilot extends project44’s AI agent orchestration capabilities across network operations, carrier onboarding, procurement, and exception handling, reinforcing its positioning as a central decision and automation hub for shippers aiming to scale global operations while managing cost, risk, and service performance.