Tracking & Navigation

Route4Me

By Route4Me

By leveraging the Netradyne integration, Route4Me helps growing businesses conquer last-mile complexity in order to scale efficiently and deliver service their customers can trust. With more than 30 million routes optimized over 750M stops and 3 billion miles, Route4Me’s patented, proven technology sets the industry standard for speed, simplicity, and sustainability. We believe taming last-mile chaos is good for business and good for the planet because we all win with superior customer service and a carbon-neutral last mile.

Features & benefits

Push the Driver•i GPS data to Route4Me.
Compare planned routes to the actual route.
Import your vehicle information into Route4Me.
Coach drivers based on planned vs actual to optimize fleet efficiencies.

Explore more integrations

Fleet Management

Gridline Analytics

Gridline Driver Performance Scorecard. Combine driver fleet efficiency data, such as idle, MPG, and HOS Violations from Geotab telematics, with driver information, such as driver safety camera data from Netradyne, to get a holistic, single-pane view of your driver and location performance.

Insurance

National Interstate & Vanliner

National Interstate and Vanliner are committed to helping Netradyne customers unlock the full potential of their driver data. By integrating this data with our deep underwriting and loss control expertise, we deliver tailored insights that promote safer driving and proactive risk management that could lower your overall insurance costs. This collaboration enhances the value of your insurance program while supporting your fleet's journey toward smarter, more informed operations.Note: a signed Data Sharing Agreement (DSA) is required to complete the integration with National Interstate & Vanliner.

Driver Workflows

PeopleNet

Drivers can automatically have their drive time captured in PeopleNet assigned within the Netradyne application. As Netradyne analyzes 100% of drive time, the GreenZone® Score and driver performance are correctly attributed to the driver based on the time spent driving in PeopleNet.