Fulfillment Center dock doors are among the scarcest resources in Amazon's inbound logistics network — each site operates with just 10 to 15 doors. Without a systematic prioritization engine, operations associates relied on manual judgment to decide which truck in the yard should be sent to the next available door. This approach introduced inconsistency, bias toward familiar carriers, and frequent misallocation that left high-priority cargo waiting while less urgent loads occupied doors.

Heimdall (InboundIQ) replaced all manual decision-making with a data-driven priority model. The system continuously evaluates every truck in the yard across five weighted dimensions — shelf criticality, appointment urgency, dwell time, stow window pressure, and arrival timing — to produce a real-time ranked queue. When a door becomes available, the highest-priority truck is automatically surfaced to the operator, eliminating guesswork and ensuring that the most business-critical cargo always moves first.