Unscheduled maintenance can vex even the most prepared fleet managers, resulting in substantial costs due to downtime and increased expenses when repairs must be made by third-party maintenance providers. In many cases, unscheduled breakdowns can be prevented using the latest prognostic and telematic tools now available to fleets. 

The problem can be especially acute for those companies that operate last-mile and vocational vehicles. For example, delivery vans and work trucks run long days with lots of stops, so a single breakdown can throw off a whole route or job site, even though these vehicles already report a lot about their own condition. 

During this session, an expert panel of industry leaders will share real examples of how last-mile and vocational fleets can use vehicle data and artificial intelligence (AI) to minimize the risk of unscheduled breakdowns. We’ll present practical recommendations to help fleet managers in these applications use predictive and prognostic tools to catch problems early, decide what problems need attention first, and keep their trucks on the road.