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Predicting Tier-2 & Tier-3 Supplier Insolvency & Operational Risk in Automotive

An automotive OEM sourcing critical precision castings, rubber seals, and specialized fasteners from a complex network of 1,200 Tier-2 and Tier-3 suppliers.

Runs onPurti
identified and mitigated 3 critical sub-tier supplier
2 monthsidentified and mitigated 3 critical sub-tier supplier

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Tier-1 suppliers frequently suffered production halts because their sub-tier component vendors faced financial distress or environmental regulatory shutdowns.
  • The OEM had zero line-of-sight into Tier-2 and Tier-3 supplier operational health until parts stopped arriving at assembly plants.
  • Re-tooling a new sub-tier casting vendor during emergency outages took up to 12 weeks, halting vehicle assembly.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Multi-Tier Supply Chain Graph Mapping

Purti maps N-tier supplier relationships, visualizing deep dependencies from Tier-1 down to raw material mines.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • Identified and mitigated 3 critical sub-tier supplier insolvencies 2 months before production impact.
  • Eliminated single-source bottleneck risks across 4 major vehicle assembly platforms.
  • Zero vehicle assembly line downtime caused by sub-tier supplier bankruptcies.

Capabilities this relies on

  • forecasting
  • system connectors
  • scenario simulation
  • alert routing
  • risk scoring

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