When people often talk about a fleet of vehicles, their most familiar image is usually that of trucks, trailers and even vans, given their relevance in the logistics industry. However, we should not forget the latest protagonists in terms of alternative vehicles to the usual ones: motorcycles and bicycles.
More and more companies have already implemented electric light vehicle management, promoting sustainability and last mile capillarity. However, how can you have control over a fleet of motorcycles and bicycles? Does it differ much from a conventional fleet of trucks and vans?
If you are curious about the following points to keep in mind when controlling a fleet of light vehicles, take a look!
Define a fleet management strategy
Like any logistics fleet, such a fleet requires a good strategy in its respective document in order to be in line with the needs and other business strategies. In particular, if one takes into account objectives such as the sustainability of the activities for which an electric light vehicle management can grant.
It should be noted that a fleet strategy must be connected to the fleet policy, which establishes everything that can be covered by the strategy, both its objectives and the rules to be followed by both the personnel involved and the drivers. Consequently, it is essential that all the organization involved in the fleet participates in the realization of the strategy so that the strategy is defined in a realistic and well realized way.
Automate routine tasks
Fleet management (and, for that matter, electric light vehicle management) is known to have very tedious tasks and optimizing time and cost savings is paramount to improving the efficiency of the process. These include paperwork, MOT, fines, regulatory compliance and supplier cost invoices, and so on.
Therefore, the automation of manual processes is an almost essential step because of the numerous benefits it provides. Among its advantages are reducing the number of unnecessary tasks, going paperless, creating the possibility of analyzing data collected from operations and improving the use of human resources.
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