Personalized Supply Chain Performance Intelligence


What we deliver
The Problem (Before)
Standard dashboards don't match every company's KPI structure or reporting needs.
Supply Chain Operations Manager, Director, Supply Chain Transformation/Technology, Buyer, Planner, Procurement, Customer Service
The Outcome (After)
Custom dashboards built to match your KPIs, your org, your cadence.
Standard dashboards do not match every company's KPI structure. Custom Insights lets you build dashboards that match your org, your KPIs, and your cadence, without analyst support.
How it works
Drag-and-drop dashboard builder with role-based access, shared workspaces, and subscription reports delivered on schedule, all powered by real-time data across all Digital Twins.

Network benchmarks as context in custom reports.
Industry-specific performance comparisons.
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.

Standard dashboards do not match every company's KPI structure. Custom Insights lets you build dashboards that match your org, your KPIs, and your cadence, without analyst support. 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.

All Twins

Cross-company intelligence powering every decision

Custom Insights: Drag-and-drop builder; Role-based access across parent/child companies







Supply Chain Intelligence and Analytics
- Natural Language Supply Chain Analytics
- Embedded Supply Chain Intelligence in Your BI Stack
- Supply Chain Historical Benchmarking
- Unified Operations Command Center
- Anonymous Peer Performance Benchmarking
Validation
Deployment Evidence

Expected Impact Range

Related outcomes
Carrier performance scored automatically. Save 8 hours per week on manual evaluation.
Programmatic API access for custom applications and automated reporting.
One billion hours of operational work completed by AI agents over the next decade.
