We talk a lot about using data analytics in trucking for improved efficiency, predictive maintenance, and so on, but data analytics is an important tool in improving a fleet’s safety performance.
Data analytics, artificial intelligence and machine learning can help you identify problem areas that need to be addressed, from evaluating driver trainers to geographical problem areas. It can help you develop meaningful driver scorecards and rewards programs. In-cab data “on the edge” can alert drivers to upcoming trouble spots or risky driving practices. Predictive analytics can even help predict which drivers are most likely to be involved in a crash.
We’ll explore how to use data to improve fleet safety programs, with real-world experiences from fleets.
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