Revenue-Aware Yard Prioritization
What we deliver
The Problem (Before)
Dynamic Yard prioritizes by dwell time only. No consideration of contents, downstream impact, or urgency.
Warehouse & Logistics Manager
The Outcome (After)
Dock capacity allocated by stock-out risk, not just dwell time.
Dynamic Yard prioritizes by dwell time only, ignoring what is inside the trailer. This system scores trailers by business impact so the highest-value loads are processed first, not the longest-sitting ones.
How it works
Trailers are continuously re-scored using a composite function of dwell time, stock-out risk, required delivery date, and hot flags; updated task priority is pushed to Dynamic Yard automatically.
Network demand signals for SKU velocity
Downstream stock-out risk indicators
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Dynamic Yard prioritizes by dwell time only, ignoring what is inside the trailer. This system scores trailers by business impact so the highest-value loads are processed first, not the longest-sitting ones. The intelligence layer is what creates the gap. Building the basic capability is straightforward. Building it on top of 11 years of cross-company facility and yard intelligence is what cannot be replicated with software alone.
Inventory Twin, Order Twin, Yard Twin
Cross-company facility and yard intelligence powering every decision
Custom Insights: priority scoring dashboard; FourSight AI: "Which trailers should we process next to avoid a stock-out?"
Yard Intelligence and Optimization
- Multi-Site Yard Intelligence and Predictive Capacity Planning
- Demand-Driven Yard Planning
- Predictive Facility Capacity Planning
- Autonomous Yard Decisioning
- Yard Workforce Performance Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Every trailer in the yard: located, identified, and tracked in real time.
Gate staffing eliminated. 100% automated check-in and check-out using computer vision.
Spotter tasks dispatched and optimized automatically. No radio, no whiteboard, no guesswork.
One billion hours of operational work completed by AI agents over the next decade.
