Case Study
Embracing predictive maintenance for life sciences manufacturers
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.
