Case Study

Embracing predictive maintenance for life sciences manufacturers

Embracing predictive maintenance for life sciences manufacturers

Pages 5 Pages

OpenText advocates predictive maintenance for life sciences manufacturers to curb costly unplanned downtime and meet strict compliance. By integrating IoT sensor data with AI/ML, managing maintenance content and SOPs, supporting digital twins, and unifying ERP/CMMS data—delivered on scalable cloud—OpenText enables real-time monitoring, failure prediction, optimized scheduling, and streamlined audits. Reported outcomes include 20–25% less downtime and up to 30% lower maintenance costs, plus extended asset life and improved resource use. Next steps: a POC with experts, roadmap exchange, and a Business Value Consulting workshop. Contact: Scott Lundstrom.

Join for free to read