
Achieving a high level of performance from your vehicles is critical for the fleet’s success. However, managing an enterprise fleet with upwards of a thousand vehicles can take time and effort to do so consistently. As fleet costs per driver rise and vehicles become more complex, it’s critical to implement strategies that boost productivity while minimizing the impact of environmental disruptions. The good news is that many new technologies and services can identify performance gaps and allow predictive measures to be taken, lowering a fleet’s maintenance costs without compromising productivity.
Here are a few of the challenges and benefits of enterprise fleet maintenance. To read the full guide filled with helpful tips, visit Pitstop’s site here.
Challenges In Enterprise Fleet Maintenance
Data Set Organization for Quick Analysis
Fleet managers may gain insight into a fleet vehicle’s health and status through data. Given the scale of commercial fleets, doing so can be complex. For example, enterprise fleet managers must manage thousands of data points daily from their fleet of hundreds or thousands of vehicles since vehicles consistently produce data points.
It can be overwhelming to deal with the sheer amount of data, especially as it grows over time. The longer the data is left unanalyzed, the more difficult it is to make sense of it, trapping fleet managers in a circle of responding to issues. Without an effective mechanism to analyze the data acquired, this may lead to chaos.
Benefits Of Enterprise Fleet Maintenance Software
Moving from Static Preventative Scheduling to Dynamic
Fleets using telematics data may quickly convert from a proactive to a more intelligent, dynamic maintenance plan. This reduces vehicle maintenance downtime by providing early warning of possible vehicle failures, allowing business fleet managers to prioritize vehicle maintenance and repairs and even pre-order components to avoid long wait times.
For example, a logistics company’s current maintenance schedule includes a regular inspection for Vehicle A next week and Vehicle B in two weeks. By combining the fleet telematics provider with predictive software such as Pitstop, the manager discovers that Vehicle B has a critical warning indicating a likely breakdown in nine days, but Vehicle A is in good condition. The manager may now swiftly and safely adjust the schedule to prioritize Vehicle B while leaving Vehicle A to run the route, keeping the fleet running smoothly.
About Pitstop
Pitstop is an analytics platform for predictive maintenance that effortlessly interacts with enterprise fleet telematics systems to gather and process vehicle data with cutting-edge AI algorithms. Fleets can eliminate downtime, better schedule vehicle maintenance, increase productivity, and drastically lower maintenance and repair costs with the help of Pitstop’s robust and predictive analytics.
Through telematics data analysis, cloud-based proprietary algorithms, artificial intelligence, and machine learning, Pitstop has developed a platform that provides actionable insights. This provides fleet managers with a significant benefit by assisting them in comprehending and organizing all of their enterprise fleet maintenance requirements, enabling them to prevent repair costs and fleet operation disruptions and a better understanding of component-level failures. Schedule a demo with Pitstop today to find out more.