Intelligent Inbound Auto-Scheduling
What we deliver
The Problem (Before)
Scheduling hundreds of daily loads is a full-time job for multiple coordinators.
Warehouse & Logistics Manager, Transportation Manager, Facility Manager, Dock Supervisor, Dispatcher
The Outcome (After)
Every inbound load auto-scheduled the moment it enters the network. No coordinator required.
Scheduling hundreds of daily loads is a full-time job for multiple coordinators. AutoBooker schedules every inbound load the moment it enters the network, with zero coordinator involvement.
How it works
AutoBooker auto-assigns appointment slots via TMS integration or bulk upload using configurable rules (carrier priority, load type, capacity), with instant scheduling, conflict detection, and carrier notification.
Facility capacity patterns by day/time
Carrier arrival reliability by lane
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Scheduling hundreds of daily loads is a full-time job for multiple coordinators. AutoBooker schedules every inbound load the moment it enters the network, with zero coordinator involvement. 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
Cross-company facility and yard intelligence powering every decision
Custom Insights: auto-scheduling utilization dashboard; Custom Insights: schedule density and coordinator-time-saved analytics.
Appointment Automation
- Carrier Self-Service Appointment Booking
- Appointment Automation + ETA Rescheduling
- AI-Powered Facility Exception Resolution
- ETA-Driven Store Labor Planning
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.
