ETA-Driven Appointment Automation
What we deliver
The Problem (Before)
60% of receiving teams spend 40%+ of time on manual appointment coordination. Dock congestion and detention charges result.
Logistics Manager, Warehouse & Logistics Manager
The Outcome (After)
Appointments scheduled and rescheduled automatically. 80-90% of scheduling labor eliminated.
Most scheduling systems assign static time slots that go stale the moment a shipment delays. Alan reschedules dynamically as ETAs shift, eliminating the 40%+ of coordinator time spent on manual appointment management.
Alan
How it works
Alan receives ETA updates from the Shipment Twin in real time, creates and reschedules appointment slots based on predicted arrival, resolves dock conflicts, and notifies all stakeholders autonomously.
- Best/worst arrival windows by facility, day, and hour
- Carrier arrival patterns for labor planning
- Dwell time benchmarks by facility
- Load complexity data 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. No single company's data could produce it.
Most scheduling systems assign static time slots that go stale the moment a shipment delays. Alan reschedules dynamically as ETAs shift, eliminating the 40%+ of coordinator time spent on manual appointment management. The intelligence layer is what makes the difference. Building the basic capability is straightforward. Building it on top of 11 years of cross-company supply chain intelligence, with continuous learning from 2.5 million agent actions per month, is what took a decade and cannot be replicated with software alone.
Shipment Twin, Appointment Twin
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
- FourSight AI: "What is our appointment compliance rate this week?"
- Custom Insights: Dock utilization by time and shift
Inbound Operations Transformation
- Zero-Touch Supplier Document Processing
- 24/7 Autonomous Carrier Follow-Up
- Instant Supplier Onboarding
- Vendor Managed Loads Pre-Arrival Intelligence
- Inbound Order-to-Delivery Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Ocean bookings triggered and managed autonomously. The system monitors carrier performance against live arrival and dwell data, identifies when a carrier-lane pair is structurally underperforming, and re-tenders the booking before detention accrues. No human in the loop.
Heavyweight and parcel bookings automated end-to-end. Carrier selection, dimensional weight optimization, and booking execution handled without manual intervention.
High-priority orders move through gate, yard, and dock automatically — no phone calls required.
One billion hours of operational work completed by AI agents over the next decade.
