A French energy group manages over 8,500 suppliers worldwide, from critical raw materials to highly specialized maintenance services. How do you anticipate a failure before it happens?
The purchasing department was facing geopolitical instability, rising energy costs and new CSR constraints (duty of vigilance law, CSRD). Teams regularly noticed unforeseen shortages on strategic categories: spare parts for power plant maintenance plans, raw materials, specialized expertise.
Traditional e-procurement tools couldn't reveal tier-2 and tier-3 dependencies, nor simulate the impact of a failure, let alone anticipate a geopolitical risk affecting an extended supplier.
of the components on a strategic production line depended on a single supplier, based in a geopolitically unstable region.
By modeling the whole supply network as a graph, the mapping made critical dependencies visible, including at indirect subcontractors. This figure didn't come out of a months-long audit: it was already in the data, it just lacked the structure to read it.
Supplier : country, tier 1/2/3, certification, ESG score, criticality. Component : category, criticality, unit price, carbon footprint. Project : location, sector, critical dependencies.
Order : date, amount, status (in progress, delivered, blocked). Region : geopolitical risk, energy risk, regulatory compliance. Audit : date, result, ESG and compliance anomalies.
Buyers test different scenarios: a key supplier shutting down, raw material price hikes, and measure the cascading effects on ongoing projects.
These analyses made it possible to diversify the supplier panel, strengthen strategic partnerships, and integrate ESG criteria into tenders to reduce regulatory exposure.
fewer critical-risk suppliers, thanks to panel diversification.
time saved compared to the initially deployed solutions.
of extra visibility on supply-disruption scenarios.
CSR and "duty of vigilance" reports are produced from the same structure: presenting the network and the audits is enough.
Thanks to fine-grained total-cost-of-ownership analysis, supplier by supplier and component by component.
Purchasing departments move from a reactive, fragmented logic to a proactive, systemic approach: modeling not just the data, but its relationships and how each piece affects the others.
We map a real purchasing category (tiers 1 through 3 included) and simulate the failure of the supplier that worries you most.
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