AI for Container Drayage & Yard Truck Dispatch Optimization
Coordinate drayage moves, yard trucks, and gate flows with AI to cut dwell time, fuel, and demurrage while boosting throughput.
Congestion at ports and inland ramps erodes capacity. AI-driven dispatch, slotting, and routing reduce truck idling, improve crane/RTG productivity, and minimize demurrage/per-diem charges.
Reefer/priority box handling; exceptions routing.
Stack strategy to reduce reshuffles.
Crane/RTG task sequencing aligned with truck arrivals.
Events: exceptions, holds, customs, inspections.
Real-time gate/truck telemetry; validate appointments.
Yard state store with box locations and priorities.
Frequently asked questions
What is the purpose of the Driver app and EDI updates related to assignments?
Driver app/EDI updates for assignments and gate times.
Which reports are available regarding dwell time, movements, fuel consumption, and exceptions?
Reports on dwell, moves, fuel, and exceptions.
How can gate/TOS and truck telemetry be integrated, and what key performance indicators (KPIs) should be tracked as a baseline?
The system integrates data from gate systems (TOS – Terminal Operating System) with real-time truck telemetry to monitor dwell times and turn KPIs, providing valuable insights into operational efficiency.
What is the deployment strategy for gate slot smoothing, and how does it interact with the pilot dispatch optimizer on a single yard block?
Gate slot smoothing involves adjusting arrival windows to optimize gate utilization, while the pilot dispatch optimizer uses this data to improve dispatch decisions within a specific yard block, streamlining operations.
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.