Route Optimization, Inventory Balancing, and Dispatch Planning Unified in One Operation for an Industrial Distributor

A $150M+ industrial distributor operated a factory warehouse and seven regional distribution centers across the US. Three problems compounded daily. Trucks left at 58-62% capacity because orders weren't consolidated by geography. Some DCs were overstocked while others ran dry because replenishment was reactive. And planners had no way to compare whether shipping from the factory, a regional DC, or a replenishment-then-ship path was actually cheapest. Each problem made the others worse.

For every order, there were three possible fulfillment paths: ship directly from the factory in Chicago, ship from the nearest regional DC, or replenish a DC first and then ship locally. Each path had a different cost depending on distance, vehicle type, DC handling cost, and inventory position. Planners defaulted to the nearest DC because there was no way to run the comparison across 200 orders every morning. That default was costing $0.40 to $0.65 extra per case on suboptimal routes. Each morning, the planning problem resets with new orders, new inventory positions, new priority flags, and new capacity constraints. Solving it properly meant evaluating every combination of order, source, vehicle, and delivery window simultaneously, then consolidating shipments by geography and fitting them into the right trucks. No planner, no spreadsheet, and no set of rules could optimize all of it at once. Every year, the team talked about building a better planning process. Every year, it stayed manual.

Every morning, the solution pulls the day's orders, checks inventory at every location, and evaluates all three fulfillment paths for each order on actual cost. It groups orders heading to the same area, fits them into the smallest truck that can carry the load, and flags the best plan for each route. When something doesn't look right, it surfaces the issue with full context so a planner can decide. The planner reviews and approves. Nothing ships without a human sign-off. The whole cycle finishes before 8:30 AM.

Transportation cost dropped 19%. Truck utilization went from 58–62% to 83% because orders were consolidated by geography and fitted into the right vehicle. Three fewer trucks left the dock each day. Orders that used to get excluded due to stock issues dropped by half because the system caught replenishment gaps before they became emergencies. Planners went from spending 3 hours building routes to spending 45 minutes reviewing and approving them. The same team now handles higher order volumes with more confidence, better consistency, and a full audit trail behind every decision.