Case Study: Leading Auto Manufacturer achieves $6.9M annual cost avoidance with Uptake Radar

$6.9M per Year Through Predictive Analytics for a Leading Auto Manufacturer

A leading U.S. auto manufacturer worked with **Uptake** to improve data-driven decision-making in its manufacturing operations. While the company had already applied digital technologies in downstream areas like paint and final assembly, its press shop remained an untapped opportunity for better efficiency, quality, and cost savings. It needed a solution that could combine APM/EAM capabilities with advanced data science across machine, maintenance, and production data.

Using **Uptake Radar**, the manufacturer deployed predictive analytics at the asset level in its stamping presses. Uptake aggregated PLC alarms and sensor data, SPC and threshold alerts, MES production details, and maintenance work orders to predict failures, detect anomalies, and surface actionable insights in real time. The results included more than **$6.9 million** in estimated cost avoidance, over **30%** reduction in scrap, **90%** reduction in indirect material waste, and an increase of **1.6%** in rated capacity per line per year.