ETA Root Cause Transparency
What we deliver
The Problem (Before)
Operations teams see ETAs change but cannot understand why. When a delivery shifts from on-time to late, they have no visibility into whether the cause is excess loading time, driver rest compliance, traffic, or dwell at a prior stop.
Transportation Manager, Logistics Manager, Supply Chain Operations Manager
The Outcome (After)
Every ETA prediction is transparent. Journey Progression engine decomposes each prediction into contributing segments (loading, drive, rest, dwell, unloading) with a three-tier alert system.
Other platforms show you that an ETA changed. FourKites shows you why it changed, which segment caused it, and what you can do about it.
Tracy
How it works
Journey Progression engine decomposes each ETA prediction into contributing segments with a three-tier alert system so operations teams see exactly which segment is driving the estimate.
Network-wide segment time benchmarks by lane, facility, and carrier.
Historical loading and unloading patterns per facility.
Seasonal and day-of-week transit variability.
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Other platforms show you that an ETA changed. FourKites shows you why it changed, which segment caused it, and what you can do about it. 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.
Shipment Twin
Tracy executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
FourSight AI: "Why did the ETA change for load 12345?"; Custom Insights: Segment-level variance dashboards
Performance Intelligence
- Advanced Detention and Appointment Analytics
- Late Reason Network Intelligence
- Predictive Appointment Capacity Intelligence
- WISMO Pattern Intelligence
- 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.
