Automotive Supply Chain Resilience AI
This AI solution analyzes complex automotive supply networks using graph-based LLMs to detect vulnerabilities, forecast disruptions, and simulate risk scenarios such as pandemics or geopolitical shocks. It recommends optimized sourcing, inventory, and logistics strategies that strengthen resilience, reduce downtime, and protect revenue across the end-to-end automotive supply chain.
The Problem
“You can’t see supply chain failures coming until your production lines stop”
Organizations face these key challenges:
No single, real-time view of multi-tier suppliers, parts, and logistics dependencies
Risk teams find out about disruptions after they’ve already hit production schedules
Scenario planning is slow, manual, and based on stale or incomplete data
Resilience decisions default to overstocking and expensive buffers instead of targeted actions