Inventory-to-Demand-Planning Feedback Loop
What we deliver
The Problem (Before)
Safety stock calculations in demand planning systems rely on static lead-time assumptions and periodic inventory snapshots. Actual in-transit inventory positions and real-time lead-time variability are never fed back, so companies end up with either excess safety stock (wasted working capital) or too little (stockout risk).
Supply Chain Manager
The Outcome (After)
FourKites feeds real-time in-transit inventory and live lead-time data into your demand planning system, so planners right-size safety stock against the actual supply pipeline, not static assumptions.
FourKites is the only platform combining real-time multi-modal shipment visibility with inventory position intelligence in a format directly consumable by enterprise demand planning systems.
How it works
By feeding real-time in-transit inventory and dynamic lead times into demand planning systems, FourKites enables planners to right-size safety stock based on actual supply visibility rather than static assumptions.
Network-derived lead time predictions, lane-level variability data
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
FourKites is the only platform combining real-time multi-modal shipment visibility with inventory position intelligence in a format directly consumable by enterprise demand planning systems. The intelligence layer is what creates the gap. Any analytics tool can query your data. Only FourSight queries the Graph: 11 years of cross-company intelligence that cannot be replicated with software alone.
Inventory Twin, Shipment Twin
Cross-company intelligence powering every decision
Custom Insights: safety-stock optimization analytics; Custom Insights: lead-time accuracy reporting.
Inventory Intelligence
- Real-Time Inventory Position Intelligence
- AI-Powered Stockout Prevention and Allocation
- Consignment Inventory Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
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One billion hours of operational work completed by AI agents over the next decade.
