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Predictive maintenance is still in its early stages, and questions about warranties and other issues must be answered before a widespread shift in industry practices can occur.

Dozens of data sets go into using predictive analytics to determine a truck driver’s risk of being in an accident.

A trucking company’s success and reputation depend directly on its drivers’ safety performance, but it’s not so easy to determine which drivers are most likely to be involved in a crash or incur a safety infraction.

Truckers looking to autogenerate written reports from their databases now have a raft of choices available, thanks to the emergence of artificial intelligence-enabled ­writing software. Essentially, these AI-generated writing solutions can drill down into company databases and autoproduce easy-to-understand, written reports.

Trucking maintenance software may soon be able to predict engine trouble long before it happens, as sensors and software become more advanced, experts said.

With high quality, reliable and structured data, fleet executives have a competitive advantage. With impactful and actionable information, they can zero in on problems that have the biggest impact on asset utilization and performance. Read Three Great Ways to Use Decisiv Analytics to learn more.

Learn how to take advantage of real time analytics and route optimization tools, new trends in driver behavior analysis to enhance safety, and how location data and services can position your business as the fleet and logistics solutions provider of choice.

The term “predictive analytics” is becoming increasingly familiar within the trucking industry as fleets look to make better use of the data collected by their back-office and onboard systems.

Take a deep dive into three topics that can help fleets gain greater visibility into their trucking operations: Blockchain, predictive analytics and remote diagnostics.