CarriersEdge integrates Netradyne dashcam data to automatically assign driver training
Driver training provider CarriersEdge has integrated Netradyne’s AI-enabled dashcam, Driver-i, with its online training automation system, allowing Netradyne customers to automatically assign and track required CarriersEdge safety and compliance training courses based on events and behaviors captured by the device.
“We’re thrilled to combine our industry-leading AI-powered safety technology with CarriersEdge’s latest online driver training features,” stated Netradyne’s Chief Business Development Officer Adam Kah in a press release. “This integration is a next-level solution for fleets that take safety seriously. By automatically assigning custom-tailored driver training programs, it simplifies the driver coaching process and ensures drivers are getting feedback reflective of their behavior, ultimately making our roadways safer.”
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The integration is designed to simplify fleets’ training practices and improve driving behavior. Using a drop-down menu, administrators can rules as needed, specify the type of driving behavior, and set trigger thresholds and periods. The integrated solution allows for cascading levels of training intervention based on the number and frequency of driver events. Rules are fleet configurable and can be changed at any time. In addition, the CarriersEdge platform documents training and coaching, which reflects the carrier’s efforts and dedication to consistently improving safety, providing proof in the case of litigation, according to the release.
According to Jane Jazrawy, CEO of CarriersEdge, assignments can be a combination of content including classroom, online courses, surveys, or policy documents, allowing for flexible learning and progressive interventions that match behavior severity and frequency. Once drivers complete the assignments, details are mailed directly to administrators and managers, providing updates on training scores and completion status.
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“Dashcam technology is rapidly evolving thanks to advancements in machine learning, edge computing, and AI. As a result, fleets have more information available at their fingertips to evaluate driving behavior in real-time,” said Jazrawy. “Correcting unsafe driving practices is a multi-step process that starts with identifying problems drivers are having and implementing solutions to help prevent the issues from reoccurring. This integration is a feature carriers can use to better streamline their remedial training practices and improve driving behavior. In addition, having solid evidence of driver training is increasingly more important in today's highly litigious environment.”
