This case study explores how People10 implemented an AI-driven predictive maintenance platform for a pharmaceutical manufacturer, achieving a 25–30% reduction in unplanned downtime.
By integrating IIoT sensors with Machine Learning, the solution monitors critical assets like pumps and HVAC systems in real-time. The platform utilizes Asset Health Index (AHI) and Remaining Useful Life (RUL) analytics to detect early degradation and automate anomaly alerts. This scalable edge-to-cloud architecture enables proactive, GMP-compliant maintenance workflows, significantly improving Overall Equipment Effectiveness (OEE) and operational reliability across multiple manufacturing facilities.
