Solera Predictive Analytics uses the power of AI and machine learning to predict the likelihood of a collision among individual drivers by automatically comparing current driving data against historical trends. By addressing driving behavior before a crash occurs, fleets can reduce their exposure to risk. The cost of a single crash to the fleet can easily reach into the millions if deaths or injuries result. If the driver is found to be in violation of regulations, the costs can rise rapidly.
Using innovative probability-based analytics, Solera’s Accident Severity Model accurately predicted 90% of severe accidents in the 50% of drivers deemed to be at the highest risk.
Predictive Analytics uses data from dedicated and mobile telematic devices to establish accident patterns, which AI and machine learning can then use to predict future risky behavior. Risk scores are assigned and reported to fleets and drivers.
Predictive Analytics examines 1,200 comparative data points, searching for patterns that indicate the most costly collisions. These include previous employers, the number of positions held, time between jobs, violations, training, the driver’s range of experiences, and many more.
Data-driven predictive analytics removes guesswork, assumptions, and personal biases, either in or against the driver’s favor, from the equation. With data to back the Driver Risk Score, conversations can be professional and productive.
Safety managers can quickly identify high-fatigue and accident-severity probabilities while there is still time to talk to high-risk-score drivers before an incident occurs so that remedial action can be taken.
Predictive Analytics protects fleets from the debilitating combined burden of repair costs or equipment replacements, injury claims, insurance increases, legal fees, and lost business.
Unbiased View
Data-driven predictive analytics removes guesswork, assumptions, and personal biases from the equation
Predict Issues
Safety managers quickly identify high-fatigue and accident-severity probabilities while there is still time to talk to high-risk-score drivers.
Reduced Financial Burden
Predictive Analytics helps protect fleets from repair costs, equipment replacements, injury claims, insurance increases, legal fees, and lost business.
