Fleet management solutions have been around for quite a while and have gained a lot of trust from fleet operators.
They are a necessary tool to do real-time mapping of fleets, dispatch drivers, and do basic reporting. Most of the larger commercial fleets are equipped with tracking systems connected to the OBD port to retrieve maintenance alerts and failure codes.
The daily job of fleet managers is to maximize the fleet’s profitability and mitigate risks of fleet vehicles using various tools to get the right information to make informed decisions. Fleets need to cut costs – with steadily growing energy expenses, every single Euro spent is too much. With mobility data, being it at the granular level of the individual trip, the single driver, the vehicle or the overall fleet, operators can optimize and ensure profitability. We enable that with data augmentation, profiling, and predictive algorithms design based on your historical data.
Moreover, analyzing this data helps in better risk assessment, effective implementation of coaching plans for drivers, improving eco-efficiency, and doing the first step into predictive maintenance.
Predictive analytics can be the right hand of fleet managers to help them proactively manage their fleets in a highly competitive landscape. Forget thinking one dimensional, only about where your drivers are, and discover how to go from basic tracking to multi-dimensional insights, thanks to contextualization of data and profiling. Let’s dive into the fascinating world of using predictive mobility data analytics for your fleet.