New cars are in short supply, with delivery times stretching up to a year due to persistent semiconductor shortages and other supply chain problems.
This affects customers of all kinds, but no more than fleet buyers. The shortage means that many fleets, from rental car companies to police departments, are unable to replace vehicles as often as they are often, leading to a growing dependence on older vehicles, and increased resources devoted to their maintenance.
Rather than simply replacing vehicles, which was often the previous strategy because it was more cost-effective than making repairs or keeping up with ongoing maintenance, fleet managers need to increase investment in inspections, monitoring, and repairs.
One of the ways they can ensure that the vehicles they deploy remain safe and in the best possible conditions is to use AI solutions that increase driver accountability, examine vehicle performance, and identify ways to ensure that they still meet the standards needed in order to ensure safety and efficacy – As well as recommending ways to update vehicles to code, or identify issues before they cause problems.
For many people, the term “fleet” brings to mind rental cars and taxis. But fleets include police and rescue vehicles, transport for government safety inspectors and regulators carrying specialized equipment, delivery vans and trucks to deliver much-needed supplies to consumers and institutions such as schools and hospitals, and much more.
The operators of these fleets need vehicles they can truly rely on; And if they fail, it could put lives at risk.
Until the supply chain backlog clears up — and that could take years, according to experts — fleets of all types will have to do their bit. To do this, they will have to bypass the usual inspection and repair procedures they have relied on in the past.
AI can assist with these in-depth inspections, using easy-to-operate mobile apps along with standard vehicle equipment such as security cameras to routinely document the status of fleet vehicles.
This creates an updated goal and record. Apps can remind drivers to record a check report when they start and end a shift, and cameras can record vehicles, details about their condition, and their in and out of services. All of this data can be uploaded to a central server, where advanced data analysis tools can process and index images in an easy-to-use format for review by fleet managers, body shops, inspectors and other suppliers.
Meanwhile, the sensors can track data on driving habits, brake usage, wear and other vehicle interior data. Based on the analysis of all this data, AI tools can make recommendations about required services or expected problems and fixes.
Tracking ongoing driving habits and vehicle conditions also makes drivers more accountable, ensuring that the vehicle is better treated, its condition is aware, and it is picked up and returned on time. This can also help extend the life of the car, or at least keep it in better condition.
The widespread use of artificial intelligence in these inspections will not only lead to safer driving and safer vehicles, but will also reduce the labor required to ensure vehicles are fit for the road.
Most of these inspections are still done manually, which means they are labor intensive in addition to being subject to human error. Automating the scan process using advanced data analysis will help ensure that scans are performed on a regular basis – without the risk of error caused by fatigue.
Advanced AI analysis systems can make the difference between poor performance and perfect performance – perhaps even between life and death.