AI Predictive Maintenance Lifts OEE from 58% to 82% at Automotive Parts Manufacturer

A mid-size Tier 2 automotive parts manufacturer operating 12 production lines with 847 tracked assets deployed Oxmaints AI-powered predictive maintenance platform and real-time OEE dashboard. Prior state: OEE at 58% (vs 85% world-class benchmark), $4.1M annual downtime cost, 67% reactive maintenance rate, 3.8% defect and scrap rate, and 11 OEM penalty events in 18 months worth $214K. Deployment covered 847 assets catalogued with criticality tiers and failure mode libraries, connected to Oxmaints AI engine via existing PLC and SCADA outputs with no new hardware required on 91% of assets. The platform ingested 18 months of historical sensor data and failure records, building 64 condition-triggered PM schedules replacing the outdated calendar-based system. Results after 14 months: OEE climbed from 58% to 82%, unplanned downtime fell 71%, $2.9M capacity recovered, PM compliance rose from 60% to 96%, maintenance mode shifted from 67% reactive to 78% planned and predictive. Deployed in 21 days with ROI achieved in 4 months.