Using Data to Reduce Risk the Right Way

An insured was looking for help assessing which driver violations they should address first. Our Risk Engineer and Data Science department analyzed the insured’s driving data over a 12-month period. From this baseline, there were 65K system-triggered speeding events among 250 drivers at 15 different terminals. The insured was not equipped to identify where to prioritize resources. After some initial study of loss history by the DMC Risk Engineer, the Data Science team dug deeper to address the most concerning events.

Together, they created a new event type that identified instances where a speeding alert immediately preceded a hard braking alert. Through historical data and research, our Risk Engineer assessed that this alert was more likely to result in a severe accident than speeding on its own. This focused event type lowered the number of prioritized events to less than 100, a much more actionable number.

The new prioritized alert allowed the insured to identify a subset of drivers that gave rise to this much more consequential event type. By isolating the most at-risk drivers of the large driving force, we were able to provide data-backed, targeted coaching opportunities for our insured’s safety team. Download the full case study.

Helping Our Insureds Get Safer the Right Way

DMC Risk Engineering helped a customer set and exceed a goal to reduce accidents by 10% at two of their terminals that were experiencing the highest number of claims. We categorized accidents at those terminals by cause to find improvement opportunities and used those findings to guide the customer in implementing new training material focused on sideswipe, rear-end, and fixed object collisions. We also advised the customer to review accident causes and prevention strategies with drivers during daily meetings whenever an accident occurs within their organization. Acting on both recommendations, the two terminals with the highest accident frequency have now reduced claim events by 31% year-over-year.

Using Data Analysis to Improve Operations the Right Way

A DMC risk engineer aimed to help a client reduce their lighting-related vehicle maintenance violations and set a goal to reduce their violation scores by 8% in 5 months. By utilizing a combination of DMC reports and CSA data analyses, the risk engineer provided detailed information on violations by Vehicle Identification Number (VIN) for both trailers and tractors, pinpointing where most issues were occurring. The DMC risk engineer also engaged with the customer’s executive team, encouraging them to take a more visible role in fostering compliance. The leadership team, eager to find a solution, began conducting regular on-site visits to terminals alongside the safety team. During these visits, they conducted performance assessments and random inspections, reinforcing a culture of safety and compliance. The insured shattered their 5–month goal, and within 9 months, they have reduced their maintenance violations that are directly related to lighting by 46%. These initiatives have significantly improved the customer’s maintenance practices, reflecting a positive trajectory toward enhanced safety standards and operational excellence.

We are doing trucking insurance differently.

We are Doing Things the Right Way.