project44 has introduced Autopilot, a no-code platform that enables supply chain teams to deploy and manage AI agents for automating logistics workflows and operational decision-making. Built on more than 18 months of AI agent deployment across project44’s network, the platform supports use cases including network operations, freight procurement, carrier onboarding, exception management, and shipment coordination. According to project44, its AI agents have already delivered measurable business outcomes, including a 4% reduction in freight spend, a 70% reduction in manual coordination efforts, sourcing cycles up to 75% faster, and up to 40% lower disruption-related costs. Autopilot provides a visual workflow environment where teams can configure conditions, escalation paths, and operational rules without requiring engineering support.
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The platform uses pre-built templates based on project44’s supply chain expertise while allowing organizations to customize workflows for specific carriers, lanes, shipment types, and operational structures. “Our customers shouldn’t have to choose between speed and control,” said Jett McCandless, Founder and CEO of project44. “With Autopilot, they get both. The agents are built. The context is there. Point it at your operation and the system goes to work, reducing freight spend, closing data gaps, unlocking cash tied up in inventory.” Powered by project44’s logistics data graph spanning 259,000 carriers and 1.5 billion shipments annually, the platform also includes enterprise governance features such as audit trails, role-based permissions, workflow controls, and real-time visibility into AI-driven operations.
