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Using Omnitracs, Pride combats driver turnover

Omnitracs Analytics, a business unit of Omnitracs LLC, announced that Pride Transport Inc has implemented Omnitracs Analytics’ Driver Retention Model across its entire fleet to reduce turnover and enhance the safety of its drivers.
Within the first six months of implementation, Pride Transport reduced its driver turnover rate to 85% and reported a return on investment of 714%.
Jay England, chief executive officer of Pride Transport, said, “Prior to deploying Omnitracs Analytics, we were experiencing high turnover rates but couldn’t pinpoint the exact reason behind it due to the lack of technology in this area. We sought a solution that would help us retain drivers while also improving safety of the fleet. After consulting with several like-minded fleets, we selected Omnitracs Analytics’ Driver Retention Model and have been extremely impressed with the initial results. This technology has been instrumental in helping us reduce driver turnover and will continue to be a big part of our retention program.”
By analyzing a fleet’s historical data, Omnitracs Analytics’ Driver Retention Model identifies patterns and/or changes in driver behavior that correlate with voluntary terminations likely to occur in the near future. This enables fleets to better identify drivers who are most likely to leave the company voluntarily and follow the recommended coaching plans to mitigate their risks.
Omnitracs Analytics offers a comprehensive, cloud-based predictive analytics and remediation solution for transportation companies. This platform examines and aggregates thousands of data points across an organization to identify root causes of likely events before they occur, helping companies anticipate future events such as driver accidents, employee turnover, and worker compensation claims and help prevent them from taking place. Omnitracs Analytics’ product suite includes predictive modeling solutions for driver fatigue, fleet safety, worker’s compensation, recruiting, and retention.
For more details, access www.omnitracsanalytics.com or www.omnitracs.com.

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