Appointment Automation + ETA Rescheduling
What we deliver
The Problem (Before)
Appointments booked on planned times. When shipments delay, nobody reschedules until the carrier is at the gate.
Warehouse & Logistics Manager, Transportation Manager, Facility Manager, Dock Supervisor, Dispatcher
The Outcome (After)
At-risk appointments caught and rescheduled before carriers arrive at the wrong time.
Appointments are booked on planned times and never updated until the carrier arrives at the wrong time. Alan catches at-risk appointments and reschedules proactively as ETAs shift.
Alan
How it works
Alan monitors ETA changes against booked appointment windows, identifies at-risk appointments, auto-reschedules to the next available slot, resolves capacity conflicts, and notifies all stakeholders.
- ETA accuracy confidence by carrier/lane
- Historical compliance rates by facility
- Optimal rescheduling windows
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years. No single company's data could produce it.
Appointments are booked on planned times and never updated until the carrier arrives at the wrong time. Alan catches at-risk appointments and reschedules proactively as ETAs shift. 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
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company facility and yard intelligence powering every decision
Custom Insights: Reschedule rate dashboard; Custom Insights: Reschedule reason analysis
Appointment Automation
- Carrier Self-Service Appointment Booking
- Intelligent Inbound Auto-Scheduling
- 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.
