Zero-Discrepancy Yard Inventory
What we deliver
The Problem (Before)
Manual trailer ID requires physical checks. Location discrepancies between system and reality are common.
Warehouse & Logistics Manager, Transportation Manager, Facility Manager, Dock Supervisor, Dispatcher
The Outcome (After)
Trailer identification automated via RFID. No manual checks, no location discrepancies.
Manual trailer identification requires physical yard checks that create discrepancies between system and reality. RFID automates identification during normal spotter operations, no dedicated audit runs needed.
How it works
UHF passive RFID tags are read by side-facing and rear-facing antennas as spotters drive past, automatically updating trailer positions during normal operations and flagging discrepancies.
This outcome draws on the FourKites Graph for facility benchmarks, inbound volume predictions, and carrier arrival patterns.
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Manual trailer identification requires physical yard checks that create discrepancies between system and reality. RFID automates identification during normal spotter operations, no dedicated audit runs needed. 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.
Yard Twin
Cross-company facility and yard intelligence powering every decision
Custom Insights: trailer reconciliation reports; Custom Insights: location-accuracy and discrepancy-rate analytics.
Facility Modernization
- Zero-Blind-Spot Yard Operations
- Zero-Staff Gate Operations
- Spotter Task Automation
- Intelligent Dock Door Assignment
- End-to-End Facility Arrival Orchestration
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Carriers book their own appointments. No calls, no emails, no faxes.
At-risk appointments caught and rescheduled before carriers arrive at the wrong time.
Every inbound load auto-scheduled the moment it enters the network. No coordinator required.
One billion hours of operational work completed by AI agents over the next decade.
