Many Ways in Which AI Improves Fleet Maintenance

Fleet maintenance is decidedly a complicated task, and it is typically far more complex than the layman would imagine. It is not just assigning trucks on routes and sending them on their way; no, sir. Fleet maintenance, even in its most rudimentary form, involves extensive planning about things like routes, drivers, vehicle maintenance, fleet tracking, and countless other things. But in today’s modern world, barely anything is rudimentary, including fleet maintenance. Thankfully, we have plenty of assistance from a wide array of advanced technologies. However, in the context of fleet maintenance, there is one pair of technology that has emerged as one of the most potent when it comes to the potential to assist the sector: Artificial intelligence and machine learning.

Among other things, artificial intelligence and machine learning help leverage other avant-garde technologies, glean data from them and then use it to enhance fleet operations in previously unimaginable ways. It is helping companies to know when vehicles in their fleet are about to breakdown and even things like which route is the best suited, considering all factors involved in the equation. And if you think that the ability of artificial intelligence to help fleet management is limited to just diagnosing issues in vehicles, then you would be overwhelmingly wrong.

AI and ML, together, can help fleet management in a lot of other ways, some of which have been listed below;

1. Cut down on unforeseen downtime: If you are even vaguely familiar with fleet management, you know that downtime is not the most significant element, especially if it is unplanned. It is because any unforeseen downtime can disturb schedule and upset all plans and strategies faster than you would be able to imagine it. AI and ML help prevent that by closely monitoring and analyzing data from a variety of channels. This rich data, when examined in the context of other relevant sources and channels, allows companies to predict issues before they happen and undertake measures to rectify them as well.
2. Proper and timely maintenance: Usually, companies will check out the vehicles in the fleet to identify any possible issues. In contrast, these vehicles are parked in the garage or some such thing. And that is fine, but artificial intelligence substantially enhances that process by keeping an eye on the performance of these vehicles, tracking maintenance schedules, and keeps the folks in charge informed about these things to ensure that all and any possible issues are diagnosed promptly.
3. Enhance overall efficiency: Since AI delivers insights based on a careful analysis of data, this data can be shared with the maintenance team. They can assign a technician who has the skills to deal with the particular vehicle’s issues, thus saving companies much precious time.

Ask any fleet management professional, and they will tell you just how important it is to stay at the top of things. And this complicated endeavour can be substantially more effective when you have fleet management data analytics to aid your efforts.