Cross-Dock Orchestration
What we deliver
The Problem (Before)
Cross-dock requires coordinating inbound with outbound. Manual coordination across tracking, appointments, dock creates delays.
Warehouse & Logistics Manager, Transportation Manager
The Outcome (After)
Inbound-to-outbound cross-dock flow coordinated end-to-end. Zero manual handoffs.
Cross-dock coordination requires manual handoffs between tracking, appointments, gate, and yard. This system synchronizes inbound-to-outbound flow end-to-end, rescheduling automatically when any leg shifts.
Alan
How it works
Inbound ETA drift automatically triggers outbound rescheduling; Alan reschedules both facilities; AutoGate assigns docks by load type; detention clocks and free-time thresholds trigger escalation at 75%/90%.
Carrier on-time history for inbound lanes
Load complexity for slot duration
Door efficiency by load type and commodity
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Cross-dock coordination requires manual handoffs between tracking, appointments, gate, and yard. This system synchronizes inbound-to-outbound flow end-to-end, rescheduling automatically when any leg shifts. 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, Yard Twin
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
Custom Insights: Cross-dock throughput dashboard; Custom Insights: Turnaround time analytics
Customer Appointment Automation
- Customer Pickup Scheduling Automation
- 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.
