Network Intelligence

Real-Time Inventory Position Intelligence

Inventory visible in real time: on-hand, in-transit, in-yard. Stockouts predicted 7-14 days ahead.

Inventory Twin

Order Twin

Shipment Twin

Yard Twin

Real-Time Inventory Position Intelligence

What we deliver

The Problem (Before)

ERP shows planned inventory, not reality. In-transit and at-yard invisible. Stockouts detected too late.

Who feels this:

Supply Chain Manager

The Outcome (After)

Inventory visible in real time: on-hand, in-transit, in-yard. Stockouts predicted 7-14 days ahead.

What makes this different:

ERP shows planned inventory, not reality. Inventory Twin shows actual position in real time: what is on-hand, what is in-transit, and what is sitting in a trailer in the yard.

How it works

The building blocks behind this outcome.

What Happens

Real-time inventory levels (on-hand, in-transit, in-yard) with batch/lot tracking, configurable projections, IoT integration for bin-level accuracy, and automated cycle counting.

The Intelligence Behind It

Network demand signals for SKU velocity

Supply risk indicators from supplier/lane patterns

Cross-company inventory flow patterns

This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.

Why This Cannot Be Replicated

ERP shows planned inventory, not reality. Inventory Twin shows actual position in real time: what is on-hand, what is in-transit, and what is sitting in a trailer in the yard. 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.

Digital Twins

Inventory Twin, Order Twin, Shipment Twin, Yard Twin

FourKites Graph

Cross-company intelligence powering every decision

FourSight AI

FourSight AI: "Projected inventory for SKU X at Chicago next week?"; Custom Insights: Inventory position by location

Inventory Intelligence

Real-Time Inventory Position Intelligence is one outcome in a broader transformation. When deployed alongside these outcomes, inventory decisions are driven by real-time positions and forward-looking risk signals, not safety stock buffers. The Inventory Twin projects demand. The Shipment Twin feeds live inbound data. Stockout risk is detected 7-14 days in advance.

See all Network Intelligence outcomes

AI-Powered Stockout Prevention and Allocation
Inventory-to-Demand-Planning Feedback Loop
Consignment Inventory Intelligence

Validation

Deployment Evidence

Live in enterprise production, showing real-time on-hand, in-transit, and in-yard inventory with early stockout prediction.

Expected Impact Range

Lower in-transit inventory and released working capital by seeing true positions and predicting stockouts days ahead.

Related outcomes

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Ask any supply chain question in plain English in your data context. Get an instant, visualized answer.

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Automated Carrier Performance Scorecards

Carrier performance scored automatically. Save 8 hours per week on manual evaluation.

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Personalized Supply Chain Performance Intelligence

Custom dashboards built to match your KPIs, your org, your cadence.

See all Network Intelligence outcomes

One billion hours of operational work completed by AI agents over the next decade.

The supply chains that adopt autonomous execution in the next 24 months will define the competitive standard for the next decade. The ones that do not will spend that decade trying to catch up.

Ready? Talk to an Outcome Advisor