With the prologue of big data, fleet management is swiftly growing. Fleet management technologies are automated by the platforms, connected devices monitor vehicle and driver performance, and managers have remarkable insight into how the fleet is performing in real time. In point of fact, as technology persists to advance, fleet experts consider that continued driver education is the key to prevent perilous driving behaviors in the fleet which remains to be an issue for the projected future.
Back in times, there was just a simple GPS system to point the location of a vehicle and tell if a vehicle was or wasn’t in motion. But today, it has developed into a refined data gathering tool that can drive paramount benefits to fleets of all functions, compositions, and sizes.
A lot of technologies have emerged due to which fleets are able to have deeper scope into their operations, such as incursion of data from telematics. The rise of IoT and big data in the fleet is all about predictive maintenance—from data capturing to data analysis to taking the right maintenance actions. Currently, fleet telematics technology incorporates routing, geo-fencing, two-way communication, real-time driver, navigation, and a set of added features which gather vital data about vehicles and drivers for the fleet managers to build strategy and improve efficiency. Also, big data brings huge cost savings for fleet management since predictive analytics and safety features mean fewer accidents.
Forging ahead, industry experts anticipate that big data will drive decisions for all aspects of fleet management, from vehicle selection to maintenance management, and driver safety planning. As a lot of fleet management professionals are starting to embrace big data, it is predicted that fleet management tools will continue to evolve to meet demands.
