Introduction:
Most US supply chain leaders have run a GenAI pilot. Most pilots haven’t made it into production. MIT NANDA tracked 300 enterprise deployments and found 95% delivered zero measurable P&L impact. Only 5.6% of supply chain organizations are using AI broadly in production today. The model is rarely why. What stalls a logistics GenAI deployment is the foundation underneath it fragmented data across TMS, WMS, ERP and carrier systems; integrations that let AI advise but not act; monitoring that misses drift until it shows up as a missed SLA; governance written before CBP ruling H350722 existed.
Most US logistics organizations don’t have an AI problem. They have an AI execution gap. The Logistics GenAI Foundation Playbook breaks down the five foundation layers that decide whether your supply chain AI works in production with build-first actions, the 2026 US regulatory context, and field patterns from C.H. Robinson, UPS, Echo Global Logistics, and Walmart.
