Methodology
Material network — supply chain as an interactive graph
The Intelligence Graph connects materials, suppliers, origin countries, BOM lines, regulatory signals and news from your portfolio. No separate data model — everything uses the same backend as risk scores, coverage map and early warnings.
Step 1
Graph from portfolio data
After CSV/XLSX import, nodes are created for countries, suppliers, materials and BOM outputs. Edges show dependencies and exposure paths — updated live when the portfolio changes.
Step 2
Cascade simulation
A slider models failure probability along the chain. Affected edges and nodes are highlighted — see how a supplier outage impacts downstream materials.
Step 3
Timeline & score history
A week slider shows historical score snapshots and alert events in graph context — when did a signal first become visible before the spot market reacted?
Step 4
Coverage gaps (ghost nodes)
Suppliers from the coverage map not in your portfolio appear as ghost nodes — max three per material to keep the graph readable. Blindspots become visible without cluttering the layout.
Step 5
Intelligence briefing PDF
Export the current graph state as PDF — KPIs, top exposure paths and recommended next steps for management and audit. Browser-safe via pdf().toBlob(), no server render.
Demo vs live data
Without a portfolio upload the terminal shows a demo graph for gallium. With an imported portfolio, nodes, exposure and gaps are computed from your supplier data — same logic as in the Risk Terminal.
The Intelligence Graph is decision support based on market and portfolio data. No guarantee of supply chain completeness — tier-2/3 dependencies require additional due diligence.