Building an intelligent warehouse with digital twins and agentic AI

Warehouse operations are under pressure from unpredictable demand, labor shortages, and higher customer expectations. Many organizations use planning tools and automation systems, but those tools often fall behind what is happening on the floor. This white paper outlines a practical path to run a warehouse as a live, learning system. It introduces a six-stage operational flywheel that links real-world signals to better decisions. It also lays out a 3-phase roadmap that starts with a focused pilot and scales to multi-site deployment, so teams can progress with clear steps instead of a risky overhaul.