Inventory-Aware Inbound Orchestration
What we deliver
The Problem (Before)
Receiving docks are pre-scheduled with no dynamic capacity. Hot POs cannot jump the queue. A prior pilot with pre-scheduled appointments failed because there was no cross-system intelligence, no dynamic capacity reservation, and no vendor lead time modeling.
Supply Chain Manager, Warehouse & Logistics Manager
The Outcome (After)
Hot freight jumps the queue automatically. Inbound POs prioritized by stock-out risk, not arrival order.
Static appointment systems schedule by arrival order, not business impact. This system re-prioritizes every inbound load dynamically based on what the DC actually needs, not when the truck happens to show up.
Alan
How it works
PO data enriched with real-time DC inventory and demand signals generates a dynamic hotness score per inbound load; Alan reschedules appointments and yard tasks automatically based on stock-out risk.
- Carrier arrival pattern predictions for inbound scheduling
- Historical lead time variability by vendor and lane
- Cross-company inbound volume patterns for facility capacity planning
- ML ETAs for inbound shipments
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.
Static appointment systems schedule by arrival order, not business impact. This system re-prioritizes every inbound load dynamically based on what the DC actually needs, not when the truck happens to show up. 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.
Order Twin, Shipment Twin, Inventory Twin, Yard Twin, Appointment Twin
Alan executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
- FourSight AI: "Which inbound POs have the highest stock-out risk at DC X?"
- Custom Insights: PO priority scoring dashboard (hotness by DC, vendor, commodity)
Inventory Optimization Transformation
- Stock-Out-Driven Priority Routing
- AI-Powered STO Rebalancing
- Network Inventory Re-Balancing
- Alternative Sourcing Cost Avoidance
- Premium Shipment Spend Reduction via ETA Confidence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Every supplier document processed and linked to orders automatically. Zero manual data entry. For supplier-managed shipments, FourKites creates shipments and updates orders directly from these documents, eliminating manual shipment creation entirely.
Your logistics team never makes another carrier check call. Every exception resolved before it impacts delivery.
New suppliers live on the platform in days, not weeks. No IT projects required. FourKites onboards suppliers by leveraging documents and the underlying carriers already connected through our existing 500K+ carrier network.
One billion hours of operational work completed by AI agents over the next decade.
