Quantifying ROI and Business Value For Predictive Maintenance - with Richard Ella

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode discusses:

• Predictive Maintenance & ROI: The episode discusses the transition from reactive to predictive maintenance and how establishing clear return on investment (ROI) metrics is key to justifying and optimizing maintenance strategies.

• Key Performance Indicators (KPIs): It outlines essential KPIs—including unplanned downtime, maintenance-related downtime, asset life extension, efficiency gains, and knowledge retention—that together define success.

• Building Trust & Collaboration: Emphasis is placed on the importance of engaging in honest, detailed conversations with customers to build trust and align expectations, ensuring that predictive maintenance projects deliver real value.

• Data-Driven Decision Making & AI Adoption: The conversation highlights how leveraging data and generative AI can provide deep insights into asset performance, enabling more intelligent maintenance practices and faster diagnosis.

• Continuous Learning & Knowledge Sharing: The episode underscores the value of capturing, sharing, and using knowledge—both successes and setbacks—to continuously improve maintenance processes and reduce overall downtime.

Quote of the episode: “Return on investment KPIs are like layers in a ladder—you can’t jump straight to one without establishing a baseline. They’re all interwoven and necessary to build a complete picture of success.”

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance