The GenAI-Driven Freight Network: Reimagining Planning, Execution, and Exception Management in U.S. Trucking

About the Whitepaper

The U.S. trucking industry is at a turning point. Carriers face rising costs, volatile demand, and constant disruptions that make planning and execution harder than ever. This whitepaper explores how a GenAI-driven freight network can bring order to that complexity—by connecting planning, dispatch, and exception management into one continuous decision loop.

What It Covers

• The current pain points in U.S. trucking: driver shortages, deadhead miles, dispatch delays, and SLA breaches.
• How a GenAI orchestration layer can unify siloed systems and replace guesswork with real-time, adaptive decision-making.
• Practical use cases across planning, execution, and exception management, showing measurable gains in utilization, cost per mile, and on-time performance.
• A business impact framework with clear ROI outcomes, including reduced disruption costs and faster recovery times.
• An adoption roadmap for carriers and 3PLs, with risks and mitigation strategies to ensure success.

Why You Should Read It

If you are a carrier, 3PL, or logistics leader, this paper will help you see beyond fragmented tools and reactive firefighting. It provides a clear, actionable view of how GenAI can cut costs, improve reliability, and create a freight network that learns and adapts with every move. The insights here are practical, backed by industry data, and focused on business results that matter.