Semiconductor shortages and other supply chain issues are reducing the supply of new cars, extending delivery times to a year.
This is affecting all kinds of customers, but nothing more than fleet buyers. The shortage means that many fleets, from rental car companies to police departments, are often not able to replace vehicles, resulting in an increased reliance on older vehicles, and increased resources devoted to maintaining them. .
Rather than simply replacing vehicles, which was often the earlier strategy because it was more cost-effective than repairing or maintaining ongoing maintenance, fleet managers need to invest more in inspection, monitoring and repair.
One way they can ensure that the vehicles they deploy remain safe and in the best possible conditions is by using artificial intelligence solutions that increase driver responsiveness, check vehicle performance, and ensure methods to determine whether it is maintained up to the required standards. To ensure safety and effectiveness – as well as recommend ways to bring vehicles up to code, or identify issues before they cause problems.
For many people, the word “fleet” brings to mind rental cars and taxis. But the fleet also includes police and rescue vehicles, regulators carrying transport and specialized equipment for government security inspectors, delivery vans and trucks that bring much-needed supplies to consumers and institutions such as schools and hospitals, and more.
Operators of these fleets need vehicles they can truly rely on; And if they fail, it could put lives at risk.
Unless the supply chain backlog is cleared — and this could take years, according to experts — fleets of all types will have to make do with what they have. To do this, they have to go beyond the normal inspection and repair procedures they have relied on in the past.
Artificial intelligence can help with these deep-dive inspections, with standard vehicle equipment like security cameras as well as easy to operate mobile apps to regularly document the condition of fleet vehicles.
It creates a purpose and updates records. Apps can remind drivers to log an inspection report upon starting and finishing a shift, and cameras can record the vehicle, and details about its status, entering and exiting services can give. All this data can be uploaded to a central server, where advanced data analysis tools can process the images, catalog them in an easy-to-use format for fleet managers, body shops, inspectors and other suppliers to review. .
Meanwhile, the sensors can keep track of data on driving habits, brake-use, wear and tear and other internal vehicle data. Based on the analysis of all this data, AI tools can make recommendations on services needed or expected problems and repairs.
Tracking driving habits and running vehicle status also makes drivers more accountable, ensuring that the vehicle is treated better, its condition is detected and it is picked up and returned on time . This, too, can help extend the life of a vehicle, or at least keep it in better shape.
Widespread use of AI in these inspections will not only create safer driving and safer vehicles, but will also cut down on the labor required to ensure that vehicles are fit for the road.
Most such inspections are still done manually, which means they are labor-intensive as well as subject to human error. Automating the inspection process using advanced data analysis will help ensure that inspections are carried out on a regular basis – without the risk of fatigue-driven error.
Advanced AI analytics systems can differentiate between poor and ideal performance – perhaps even life and death.