End-to-End Live Load Flow Automation


What we deliver
The Problem (Before)
Live loads require manual coordination across tracking, appointments, gate, yard. Each handoff is a call or email.
Logistics Manager, Transportation Manager
The Outcome (After)
Live loads flow from ETA change through dock assignment with zero manual touchpoints.
Live loads require manual coordination across tracking, appointments, gate, and yard for every handoff. This system flows a live load from ETA change through dock assignment with zero manual touchpoints.
How it works
ETA drift auto-reschedules at both facilities; geofence triggers pre-check-in SMS; AutoGate processes arrival and assigns dock; detention clock starts at check-in; check-out triggers authoritative delivered signal.

Carrier on-time history for lane
Load complexity for slot duration
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.

Live loads require manual coordination across tracking, appointments, gate, and yard for every handoff. This system flows a live load from ETA change through dock assignment with zero manual touchpoints. 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.

Shipment Twin, Appointment Twin, Yard Twin

Cross-company facility and yard intelligence powering every decision

Custom Insights: live load turnaround analytics; Custom Insights: manual-touchpoint and detention reduction dashboards.







Operational Flow Optimization
- Cross-Dock Orchestration
- Hot Load & Priority Order Fast-Track
- Backhaul Optimization
- Proactive Yard Product Protection
- Proactive Cold Chain Product Protection
Validation
Deployment Evidence

Expected Impact Range

Related outcomes
Every trailer in the yard: located, identified, and tracked in real time.
Gate staffing eliminated. 100% automated check-in and check-out using computer vision.
Spotter tasks dispatched and optimized automatically. No radio, no whiteboard, no guesswork.
One billion hours of operational work completed by AI agents over the next decade.
