Predictive Appointment Capacity Intelligence
What we deliver
The Problem (Before)
Facility teams react to appointment demand as it materializes. When inbound volume exceeds dock capacity, the result is missed appointments, detention charges, and overtime labor. Today's analytics show what already happened, not what's about to.
Facility Manager, Dock Supervisor, Yard Manager, Warehouse & Logistics Manager
The Outcome (After)
Forward-looking facility capacity vs inbound demand forecasts driven by Alan's appointment patterns combined with network ETAs. Operations sees 24-72 hours ahead which facilities will be overloaded and pre-positions labor, opens overflow slots, or redirects loads.
Backward-looking yard analytics is commoditized. Predictive capacity planning requires both appointment data and network-scale ETA intelligence—only FourKites has both.
Alan
How it works
Alan books and reschedules appointments at scale. Network ETA signals predict actual inbound arrivals. Together these data streams enable forward-looking capacity vs demand modeling at the facility level, surfaced 24-72 hours in advance.
Inbound volume forecasts by facility from network ETAs.
Appointment demand patterns.
Dock capacity utilization curves.
Cross-facility load balancing opportunities.
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Backward-looking yard analytics is commoditized. Predictive capacity planning requires both appointment data and network-scale ETA intelligence—only FourKites has both. The intelligence layer is what creates the gap. Any analytics tool can query your data. Only FourSight queries the Graph: 11 years of cross-company intelligence that cannot be replicated with software alone.
Appointment Twin, Yard Twin, Shipment Twin
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
Custom Insights: Predictive Facility Capacity Dashboard; FourSight AI: "Which facilities are at risk of overflow next Tuesday?"
Performance Intelligence
- Advanced Detention and Appointment Analytics
- Late Reason Network Intelligence
- WISMO Pattern Intelligence
- ETA Root Cause Transparency
- Yard-to-Delivery Performance Correlation
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Ask any supply chain question in plain English in your data context. Get an instant, visualized answer.
Carrier performance scored automatically. Save 8 hours per week on manual evaluation.
Custom dashboards built to match your KPIs, your org, your cadence.
One billion hours of operational work completed by AI agents over the next decade.
