Automotive Smart Supplier Selection
This AI solution analyzes cost, quality, sustainability, and risk data to help automotive manufacturers identify and select the optimal mix of suppliers. By continuously optimizing procurement and supply chain decisions, it improves resilience, reduces material and logistics costs, and supports sustainability and compliance targets.
The Problem
“Your supplier choices are based on stale spreadsheets while risks hit you in real time”
Organizations face these key challenges:
1
Supplier decisions rely on static scorecards and tribal knowledge instead of live data
2
Teams scramble to re-source parts only after a disruption, recall, or price shock hits
3
Sustainability and ESG targets are bolted on late, not built into sourcing decisions
4
Engineering, procurement, and supply chain work from different versions of supplier data