Distribution centers depend on complex, automated systems to keep supply chains moving, and in today’s hyper-competitive, e-commerce-driven landscape, unplanned downtime is not an option. The proliferation of sensors and data collection holds great potential to keep systems running and uptime at a maximum, all while reducing maintenance costs and staffing requirements.
Enter predictive analytics. By leveraging key data points, machine learning, and OEM equipment expertise, operations can more accurately determine when performance issues will occur and maintenance action is necessary. This enables operations to more efficiently deploy technicians and control maintenance spend while meeting critical performance goals. Predictive analytics break through the data deluge of increasingly connected facilities to provide real-world benefit from practical, targeted insights.