Customer Pickup Scheduling Automation
What we deliver
The Problem (Before)
CPU scheduling via phone, email, fax. Dock congestion, unpredictable arrivals, manual follow-ups.
Transportation Manager, Warehouse & Logistics Manager, Shipping Clerk
The Outcome (After)
Customer pickups scheduled automatically. Dock congestion and wait times cut dramatically.
CPU scheduling via phone, email, and fax creates dock congestion and unpredictable arrivals. Alan automates the entire cycle so customers self-schedule and docks run at planned capacity.
Alan
How it works
Alan creates appointment slots when orders are ready, enables customer self-scheduling via portal, sends confirmations and reminders, reschedules dynamically, and pre-assigns dock doors by load type.
Customer arrival patterns by day and time
Dock utilization benchmarks
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.
CPU scheduling via phone, email, and fax creates dock congestion and unpredictable arrivals. Alan automates the entire cycle so customers self-schedule and docks run at planned capacity. The intelligence layer is what creates the gap. The basic capability is buildable. 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 cannot be replicated with software alone.
Order Twin, Shipment Twin, Appointment Twin
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
Custom Insights: CPU performance dashboard; Custom Insights: Wait time by customer
Customer Appointment Automation
- Cross-Dock Orchestration
- AI-Powered Customer Appointment Management
- Appointment Reschedule Automation
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Lower OTIF penalties and protect revenue by catching at-risk shipments early instead of disputing chargebacks after the fact.
Penalty claims validated and disputed with evidence in minutes, not hours — recovering costs that would otherwise go unchallenged.
OS&D claims processed in minutes with evidence-backed resolution recommendations.
One billion hours of operational work completed by AI agents over the next decade.
