Detecting Every Problem for
Optimum Fleet Management
With the demand for transportation and logistics slated to double in the next two decades, service providers are faced with a massive challenge of improving reliability and assuring steady availability. Can the key solution to optimum fleet management be discovered in the sea of noise picked up by the millions of sensors deployed in your systems?
With DataRPM’s Cognitive Predictive Maintenance solution, differentiating signals from the noise generated by millions of connected sensors is achievable and will empower transport and logistics providers to gain better control over their fleet’s performance. CPdM’s prowess to create distinctive models of failure – permuting and combining internal sensor data integrated with information from external sources – makes predictions dependable and far more accurate.
Here’s an answer to fleet management that will have you racing to unmatched cost savings.