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Omnitracs Analytics
 formerly FleetRisk Advisors

Omnitracs, LLC

3525 Piedmont Rd, NE
Bldg 6, Suite 110
Atlanta, GA 30305

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Driver Retention Model

Drivers Don’t Quit, They Leave

Drivers for the most part are just like any other employee and leave their job for similar reasons as other employees do. These reasons are unique to each driver, each employee and to each company, but the vast majority of drivers leave when they have given up on their current employer.

Leading up to the decision to leave their job, the drivers’ behavior and performance changes in subtle ways. Omnitracs Analytics detects these subtle changes in driver behavior which are reflected in your data and uses them to provide key insight into which drivers are likely to leave your company soon.

See Retention Predictors

Retention Predictors

Omnitracs Anayltics analyzes thousands of data points to identify the subtle changes over hundreds of data points that collectively represent a pattern that reflects a change in the driver’s behavior.

      Pay     

Stops

    Miles   

      Training     

Prior
Employment

    Trips   

Medical

Orders

Critical
Events


Compliance

Contrary to conventional wisdom no single data point can be used to accurately predict future events consistently. Omnitracs Analytics’ predictive modeling technology uses all available data across thousands of data points to build a true picture of the driver’s behavior and provide the opportunity for remediation.

Omnitracs Analytics further supplements client data with external data sources and internal Omnitracs Analytics insights to create a comprehensive image of the driver’s performance, and more importantly, a map to detect subtle changes in behavior that are correlated with higher risk of target events.

See Results

The Proof Is In The Numbers

Omnitracs Analytics’ predictive modeling and remediation strategies help customers reduce employee turnover by identifying the drivers that are likely to leave their current employment. The below graph looks at two different groups of drivers—those who have been intervened with early (based on remediation recommendations from Omnitracs Analytics) and those who were not remediated. The side-by-side comparison clearly demonstrates how Omnitracs Analytics predictive models successfully identify at-risk employees and help fleets prevent the loss of their most valuable assets—their drivers.

Real Omnitracs Analytics customer results based on aggregate data measuring 16,000 drivers.

  • We Can Predict

    Predicted
    Accidents
    Actual
    Accidents

    Lowest Risk

    Low

    Average

    High

    *Click on bars to view details.

    Non-Remediated Drivers

    We Can Prevent

    Highest Risk

    Remediated Drivers

  • The Proof

    Annualized Turnover

    Non-Remediated Drivers

    Remediated Drivers

Hear from our featured client  video-logo-maverick