Dry van carrier implements Omnitracs Analytics’ Driver Retention model

Super Service, a dry van carrier delivering consumer products, beverages and paper products, has implement the Driver Retention model from Omnitracs Analytics across is fleet of 950 trucks.

Omnitracs Analytics is a business unit of Omnitracs.

According to Omnitracs, in the first six months of use, the solution helped reduce the fleet’s turnover rate of its highest-risk 10% of drivers from 203% to 66%. The result is an average of 20 drivers per month being retained, saving more than $60,000.

“Prior to deploying the Omnitracs Analytics’ predictive analytics platform, our approach to driver retention was reactive,” said Vaughn Yow, vice president of operations at Super Service. “Omnitracs Analytics has been instrumental in helping us improve driver retention by identifying the ‘at-risk’ drivers who were most likely to quit, and then addressing their concerns based on the model’s predictions. Additionally, Omnitracs Analytics’ remediation plans ensure we connect with the right drivers on the right subject, creating closer and more open relationships before problems arise. The results have been increased driver satisfaction and reduced churn, and in just one month, the technology paid for itself more than once.”

Initially, the company started with targeted coaching and strategic interventions on the highest risk 10% driver group but has since moved to 20% to have a larger impact, Omnitracs Analytics said. By analyzing a fleet’s historical data, the Driver Retention solution identifies patterns and changes in driver behavior that correlate with voluntary terminations. This enables fleets to identify drivers at higher risk to leave the company and follow the recommended coaching plans to mitigate their risks.

“Predictive Analytics is vital to helping fleets address one of their biggest pain points— keeping good drivers happy, safe and productive,” said Dean Croke, vice president of Omnitracs Analytics. “Super Service’s deployment of our Driver Retention Model and the notable results the company achieved within the first six months of use is validation of the smart investment. Fleets that talk to the right driver on the right subject at the right time can reduce churn and retain their top talent, and can also increase driver satisfaction and, in turn, develop better fleet manager-driver relationships.”

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