Remove the brand labels, and much of the “AI” in fleet software is actually machine learning — programs that analyze your fleet data, identify patterns, and then use that information to make predictions or uncover something that proves valuable: such as when one of your vehicles might break down, or when a driver shows signs…
For years, “AI” has been added to fleet software, typically indicating a model that can anticipate a failure or alert to a severe braking situation. A more recent and specific concept is that of an AI fleet agent: an AI that can not only predict or respond but also help execute a goal, and some…
Fleet reporting and analytics involves collecting data from a fleet — where, when, and how they are operating, the fuel used, the number of engine hours accumulated, the events that take place while they’re on the road, the maintenance activities conducted, and so on — and converting that information into units that can be used…
A lot of AI in fleet management today is just a flashy label on top of rules that already existed. If a system says it is “AI-powered” but only spits out if-then alerts, we are not looking at transformation, we are looking at repackaging. In 2026, the real story is different: fleets are using AI…
