Site Intelligence

AI-Powered Facility Exception Resolution

Detention and demurrage claims validated automatically with yard and gate evidence. Invalid charges disputed with proof.
Yard Twin
Shipment Twin
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AI-Powered Facility Exception Resolution

What we deliver

The Problem (Before)

Carrier detention claims require manual cross-referencing of timestamps. Invalid claims go unchallenged.

Who feels this:

Transportation Manager

The Outcome (After)

Detention and demurrage claims validated automatically with yard and gate evidence. Invalid charges disputed with proof.

What makes this different:

Carrier detention claims go unchallenged because cross-referencing timestamps is too time-consuming.

How it works

The building blocks behind this outcome.
What Happens

FourKites validates carrier detention claims against AutoGate check-in/out timestamps, dock timestamps from Dynamic Yard, and ocean port free-time data; auto-approves within tolerance or generates dispute packages.

The Intelligence Behind It

Carrier detention patterns across network

Facility dwell benchmarks for dispute context

Per diem/free time benchmarks by line/port

This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.

Why This Cannot Be Replicated

Carrier detention claims go unchallenged because cross-referencing timestamps is too time-consuming. FourKites validates every claim against yard and gate evidence automatically, disputing invalid charges with proof. 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.

Digital Twins

Yard Twin, Shipment Twin, Shipment Twin (Ocean)

FourKites Graph

Cross-company facility and yard intelligence powering every decision

FourSight AI

Custom Insights: Detention cost analysis; Custom Insights: Dispute resolution rates

Appointment Automation

AI-Powered Facility Exception Resolution is one outcome in a broader automation of appointment management. When deployed together, appointments are scheduled, rescheduled, and confirmed autonomously based on live ETAs. Alan coordinates with facilities. Tracy monitors inbound shipments. The Facility Twin provides dock availability.
  • Carrier Self-Service Appointment Booking
  • Appointment Automation + ETA Rescheduling
  • Intelligent Inbound Auto-Scheduling
  • ETA-Driven Store Labor Planning

Validation

Deployment Evidence

Live in enterprise production, validating detention and demurrage claims against yard and gate evidence.

Expected Impact Range

Lower detention and demurrage spend by disputing invalid charges automatically with timestamped proof.

Related outcomes

Site Intelligence
Zero-Blind-Spot Yard Operations

Every trailer in the yard: located, identified, and tracked in real time.

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Site Intelligence
Zero-Staff Gate Operations

Gate staffing eliminated. 100% automated check-in and check-out using computer vision.

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Site Intelligence
Spotter Task Automation

Spotter tasks dispatched and optimized automatically. No radio, no whiteboard, no guesswork.

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One billion hours of operational work completed by AI agents over the next decade.

The supply chains that adopt autonomous execution in the next 24 months will define the competitive standard for the next decade. The ones that do not will spend that decade trying to catch up.
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