AI Automotive Process Optimization
This AI solution uses AI and machine learning to continuously monitor automotive production lines, detect bottlenecks, and recommend optimal process adjustments in real time. By improving line balance, reducing scrap and rework, and increasing overall equipment effectiveness (OEE), it boosts throughput and lowers manufacturing costs while maintaining consistent quality.
The Problem
“Your production lines leak capacity and cash because no one sees issues in real time”
Organizations face these key challenges:
OEE stuck in the same band for years despite continuous improvement projects
Bottlenecks shift daily and are only discovered after queues, delays, or missed takt time
Scrap and rework costs are high, with root causes hard to pinpoint quickly
Engineers spend hours pulling and reconciling data from MES/SCADA/ERP instead of improving the process