Spotter Task Automation
What we deliver
The Problem (Before)
Manual dispatching by radio or whiteboard. Task priority based on gut feel. Inefficient routing.
Warehouse & Logistics Manager, Transportation Manager, Facility Manager, Dock Supervisor, Dispatcher
The Outcome (After)
Spotter tasks dispatched and optimized automatically. No radio, no whiteboard, no guesswork.
Manual dispatching by radio or whiteboard means spotter tasks are prioritized by gut feel. Dynamic Yard dispatches and optimizes tasks automatically based on real-time yard state and priority.
How it works
Dynamic Yard auto-creates spotter tasks on check-in, assigns by zone and spotter availability, manages task workflows (pull, spot, move, hook) via mobile tablet, and validates completion with position updates.
Spotter efficiency benchmarks by facility type
Optimal task routing 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 dispatching by radio or whiteboard means spotter tasks are prioritized by gut feel. Dynamic Yard dispatches and optimizes tasks automatically based on real-time yard state and priority. 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, Appointment Twin
Cross-company facility and yard intelligence powering every decision
Custom Insights: Spotter efficiency dashboard; Custom Insights: Task completion by spotter/shift
Facility Modernization
- Zero-Blind-Spot Yard Operations
- Zero-Staff Gate Operations
- Intelligent Dock Door Assignment
- End-to-End Facility Arrival Orchestration
- Zero-Discrepancy Yard Inventory
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.
