TruckerCloud’s First Notice of Loss (FNOL) telematics solution represents a significant advancement in commercial auto claims management. Utilizing in-cab camera and ELD data to identify crash events, this technology provides timely alerts to insurance companies and empowers them with the data needed to act decisively.
The data provided by TruckerCloud includes location, driver details, G-force event data, speed data, and video footage. TruckerCloud’s customers are taking different approaches to the utilization of the FNOL data and endpoints depending on its intended response, claims, and TPA structure.
One client has integrated TruckerCloud's FNOL alerts into its operations by routing potential crash information directly to agents for follow-up with insureds. Since the agent plays an important role in the relationship with the insured, they can easily use TruckerCloud data to provide a valuable check-in without overstepping boundaries. This method also allows the agent to filter out any false positives.
Another insurer has adopted a more proactive approach by setting up a webhook to TruckerCloud's potential crash alerts. This setup enables immediate email and system notifications upon an event occurrence, which are then forwarded to an immediate response “quick strike” team. This team contacts the fleet owner or safety manager to discuss the potential crash details. If necessary, on-site assistance is deployed at the crash location.
The timeliness of alerts is crucial. TruckerCloud can alert insurance companies of potential crashes within 10 minutes of the event occurring. Prior to implementing TruckerCloud’s FNOL solution, one insurer reported that the average loss-to-report time for events with high G-force impacts was over 8 days. Now, TruckerCloud clients can respond within minutes.
TruckerCloud's FNOL telematics solution is proving instrumental in mitigating risks in the trucking industry. By providing real-time, actionable data, the solution enables insurance companies to respond promptly and effectively to incidents.
