Artificial Intelligence is steadily starting to gain traction in the domain of fleet management. Industry experts like Jason Wible Frenchcreek points out that fleet managers are now beginning to understand how AI can be helpful in making their job more streamlined and productive. With the use of AI, fleet managers can effectively monitor their fleet and address their business requirements. It also helps them to prioritize driver safety without compromising on efficiency and expenses. This technology makes it much simpler to keep track of varied fleet operations and make prompt, well-informed decisions.
Jason Wible Frenchcreek shares insights into how AI helps in fleet management
AI powered fleet management platforms have the capability to deliver the same degree of accuracy, accessibility, and speed to the logistics, mobility and transportation. It makes the transportation of goods more economical, faster and safer. By leveraging AI technology, one can actually competently predict the failure of the parts and the whole vehicle. They do not have to just assume that their maintenance and mechanics routine will keep the fleet on the roads for an optimal period of time. Fleet management systems equipped with ML and AI can identify threats at speeds that humans are unable to. Through AI, fleet management companies gain access to visibility and insights into issues that help in:
- Improving safety
- Reducing the expenses linked to parts and labor
- Boosting productivity and revenue generation
- Prioritizing asset renewal and replacement
- Cutting down unplanned repair and maintenance expenses
Getting goods to the right place is an ongoing challenge in the sector of fleet management. By applying AI, companies can cope with unforeseen obstacles and ensure improved on-time delivery rates. This technology also helps fleet operators to elevate their route planning, and subsequently steer clear of traffic accidents, roadblocks and more. As fleet managers get real-time driver location information, they can be assured that all their employees are at the place where they need to be at a specific time. In case a driver is behind schedule, the fleet manager can connect with the driver for more details. After learning the specifics of their issues, they can make use of AI to determine the ideal ways to assist the driver in getting back on track and save time.
Keeping a fleet in top condition and operate safely is another major challenge for companies. This issue becomes all the more complex as the number of vehicles used by a business increases. Failing to stay on top of maintenance may cause the fleet manager to deal with rising expenses stemming from emergency repairs. If a number of vehicles are unusable at once due to maintenance issues, it can even disrupt time-sensitive schedules. There are certain AI tools available today that support predictive maintenance strategies for fleet management. They generally use Internet of Things (IoT) sensors for detecting issues that people may not notice at once, like higher-than-normal temperature or excessive vibration. Fleet managers subsequently get alerts about these instances before any breakdown can take place.
Jason Wible Frenchcreek mentions that over the years, artificial intelligence has reshaped how operations take place in diverse industries, including fleet management. This technology plays an important role in removing bottlenecks, preventing unwanted events, and streaming maintenance schedules.