Predictive maintenance is the future of field service — and it just may be here. Here’s what you need to know about implementing predictive maintenance in your organization.
If there’s one metric that’s top of mind for field service leaders today, it’s asset uptime. In an industry where customer expectations around the speed and quality of service continue to rise, every minute of unplanned downtime is a hit to your brand.
Fortunately, the Internet of Things (IoT) is helping organizations minimize unplanned downtime by making it easier to monitor equipment health in real time. Instead of basing maintenance schedules on the expected life cycle of a component, companies are using artificial intelligence (AI) and smart sensors to predict failure, based on real-time data and historical trends.
Using technology to drive asset uptime is nothing new. For years, field service organizations have relied on sensors and computerized maintenance management systems to identify potential problems and trigger maintenance requests. But rapid improvements to AI capabilities and a steady decrease in the cost of IoT sensors are helping organizations collect more data and drive automation.