AI-Powered Stockout Prevention and Allocation
What we deliver
The Problem (Before)
Inventory decisions are reactive. When risk is detected, teams scramble for solutions without data on best option.
Supply Chain Manager
The Outcome (After)
Stockout risks scored by revenue impact. AI recommends the fix: transfer, expedite, or re-route.
Inventory decisions are reactive: teams scramble when risk is detected. This system predicts stockouts two weeks ahead, scores them by revenue impact, and recommends the optimal fix, not just the alert.
How it works
The system predicts stockouts 7-14 days in advance, scores risk by revenue impact and customer tier, and recommends specific actions (transfer, expedite, re-route) with execution via PO Connect.
Network demand patterns for risk scoring
Supplier lead time variability
External disruption signals affecting inventory
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Inventory decisions are reactive: teams scramble when risk is detected. This system predicts stockouts two weeks ahead, scores them by revenue impact, and recommends the optimal fix, not just the alert. 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, Order Twin, Shipment Twin
Cross-company intelligence powering every decision
FourSight AI: "Which SKUs are at risk of stockout next week?"; Custom Insights: Risk scoring dashboard
Inventory Intelligence
- Real-Time Inventory Position Intelligence
- Inventory-to-Demand-Planning Feedback Loop
- Consignment Inventory Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Ask any supply chain question in plain English in your data context. Get an instant, visualized answer.
Carrier performance scored automatically. Save 8 hours per week on manual evaluation.
Custom dashboards built to match your KPIs, your org, your cadence.
One billion hours of operational work completed by AI agents over the next decade.
