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CalAmp CrashBoxx Transforms Vehicle Collisions into Actionable IoT Intelligence

By Ken Briodagh May 25, 2017

In a recent release, CalAmp, a developer of Internet of Things (IoT) enablement solutions, has announced the availability of new capabilities for its CrashBoxx vehicle risk management system. The system is designed to enable insurers, fleet managers and vehicle repair centers to leverage the CrashBoxx to provide automated accident reconstruction and predictive vehicle damage assessments.

CrashBoxx is a multi-tiered vehicle risk management service that provides businesses with faster, deeper and more actionable insights into crash events in near real-time.

The two new CrashBoxx service options are:

Accident reconstruction that provides detailed analysis of a collision within minutes of the event, including force of the crash, direction of impact, speed prior to impact and other key metrics to automate loss recovery; and Predictive physical damage, which helps determine in whether the vehicle is a total loss or repairable.

“Connected vehicle technology is making great strides in encouraging safer driving, but the impacts of crash events have far-reaching implications for drivers and businesses,” said Justin Schmid, SVP and GM, telematics systems business, CalAmp. “CrashBoxx is unparalleled in aftermarket vehicle risk management and our new automated accident reconstruction and predictive vehicle damage capabilities empower insurers, fleet owners and vehicle repair centers with actionable intelligence to expedite the repair process, improve third party recovery and mitigate fraud.”

CalAmp said that it expects customers from a wide range of industries to find efficiencies, more productivity and customer service benefits. The company identified certain key verticals, including:

Fleet managers that need to address unreported crashes, provide timely assistance to drivers involved in a crash and help managers evolve policies to protect the well-being of drivers and minimize company liability;

Insurers looking to lower the costs of processing a claim by automating functions associated with assessing damage and the triage of vehicles in the field while reducing fraud by providing defensible data during the accident reconstruction process; and

Vehicle repair centers that can unlock potential revenue opportunities.




Edited by Maurice Nagle

Editorial Director

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