Why the Advancement of Artificial Intelligence is Good News for the Fleet Management Industry
Article by Ben Hocking
In recent years, Artificial Intelligence has seen massive improvements. Once heralded as the end of human interaction and workforces, a better understanding of the limits of the technology has created an entirely new avenue for the applications of AI and the necessity of integration within a human workforce. Here are just a few examples about how artificial intelligence can be beneficial in the fleet management industry.
Working with current workforces rather than replacing them
Previously, Artificial Intelligence was seen as the replacement to workers and managers alike. However, with the advancement of technology, companies are seeing opportunities to use AI alongside current workforces to accelerate and simplify a number of tasks, with the workers themselves still being key in the success of the company.
It can be used for tasks such as identifying and sorting different documentation and communications into their relevant queues for action, freeing up time for the workers to address the documents and increase productivity. The necessity for human co-ordination is still present though, as current AI is unable to identify aspects such as context, so it could group all communications from a client together, but that is where the human would have to take over.
AI can be used to improve driver safety
Road safety will always be a concern, but advancements in AI can be implemented to help identify and reduce safety issues. For example, AI can review high-definition video and use it to identify high-risk behaviours by drivers, such as distractions and signs of driver fatigue, as well as detecting poor driving procedures such as following distance and accounting for adverse weather and traffic conditions. By identifying these issues, fleet management companies can better ensure the prevention of poor driving habits and subsequently reduce costs and backlash that may come as a result
Maintenance made easy
No vehicle is without the need of maintenance and repair, and sometimes minor issues can have a snowball effect if not rectified, leading to significant and costly breakdowns. With more electronic sensors and parts in vehicles than ever, automotive vehicles are operating more like computers than machines, gathering detailed information about how they are operating at any point in time. Using this information, Artificial Intelligence can enable on-the-go maintenance checks and perform real-time diagnosis without the need for routine human intervention.
So, there we have it. When implemented properly, AI can introduce a great deal of value to fleet management services in a number of different areas of the business, improving quality and efficiency of workloads, safety and even providing preventative measures for potential breakdowns.
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