The system receives structured information about the vehicle and the damage during the phone-based claims notification. Based on over 800 data points per claim — including vehicle data, damage patterns, component combinations, and calculation data — PLAN D extracted features and trained a machine learning model that predicts the expected repair costs within seconds, broken down by labor, paint, and material costs.

Additionally, the system calculates the replacement value and provides a routing recommendation for the next process step. The claims handler receives this information live during the phone call and can immediately trigger the correct follow-up processes.