Inbound Order-to-Delivery Intelligence
What we deliver
The Problem (Before)
No unified view of order status. PO in ERP, shipment in TMS, carrier updates via email. Cross-referencing takes hours.
Supply Chain Manager, Logistics Manager
The Outcome (After)
Every PO visible from creation to dock delivery. Risks flagged weeks in advance.
ERPs show planned status. TMS shows shipment status. Neither shows the full picture. FourKites unifies PO and shipment data into one continuous view with predictive risk scoring weeks ahead.
How it works
PO data is ingested from ERP, linked automatically to shipments, and tracked from creation to dock delivery with ML-powered ETAs and proactive risk alerts at every milestone.
- ML-powered predictive ETAs for inbound shipments
- Supplier on-time benchmarks across network
- Lane-specific transit time variability
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.
ERPs show planned status. TMS shows shipment status. Neither shows the full picture. FourKites unifies PO and shipment data into one continuous view with predictive risk scoring weeks ahead. 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
Cross-company intelligence powering every decision
- FourSight AI: "Which POs are at risk of missing delivery?"
- Custom Insights: Order performance (on-time, in-full, at-risk)
Inbound Operations Transformation
- Zero-Touch Supplier Document Processing
- 24/7 Autonomous Carrier Follow-Up
- Instant Supplier Onboarding
- ETA-Driven Appointment Automation
- Vendor Managed Loads Pre-Arrival Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Ocean bookings triggered and managed autonomously. The system monitors carrier performance against live arrival and dwell data, identifies when a carrier-lane pair is structurally underperforming, and re-tenders the booking before detention accrues. No human in the loop.
Heavyweight and parcel bookings automated end-to-end. Carrier selection, dimensional weight optimization, and booking execution handled without manual intervention.
High-priority orders move through gate, yard, and dock automatically — no phone calls required.
One billion hours of operational work completed by AI agents over the next decade.
