Predictive Facility Capacity Planning
What we deliver
The Problem (Before)
Operations leaders learn about capacity shortfalls when trucks are already queuing at the gate. No forward-looking signal to pre-position labor, open overflow slots, or redirect loads to a nearby facility.
Facility Manager, Dock Coordinator, Yard Coordinator, Shift Manager
The Outcome (After)
Network ETAs + appointment demand + yard state combined to surface capacity shortfalls 24-72 hours ahead. FourSight AI recommends overflow slots, load redirection, or additional spotter pre-positioning before congestion materializes.
Most facilities discover capacity shortfalls only when trucks are already queuing at the gate. This forecasts congestion days ahead by fusing inbound ETAs, appointment demand, and yard state against network-wide arrival patterns, so teams act before congestion forms instead of reacting after it.
How it works
FourKites combines network ETAs, appointment demand, and live yard state to project dock and yard capacity 24-72 hours ahead. When a facility trends toward a shortfall, FourSight AI flags it early and recommends overflow slots, load redirection, or additional spotter pre-positioning before congestion builds.
Inbound Volume predictions from networks-wide ETA signals Carrier arrival pattern predictions for inbound scheduling Cross-facility capacity utilization patterns across the FourKites Network.
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
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.
Shipment Twin, Yard Twin, Appointment Twin
Cross-company facility and yard intelligence powering every decision
FourSight AI: "Is any facility projected to exceed dock capacity in the next 24-72 hours?" Custom Insights: capacity-shortfall forecasting and overflow planning dashboards.
Yard Intelligence and Optimization
- Multi-Site Yard Intelligence and Predictive Capacity Planning
- Revenue-Aware Yard Prioritization
- Demand-Driven Yard 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.
