Our machine learning model for hail damage cost estimation was trained on historical claims data and considers all relevant factors: panel, manufacturer, vehicle type, material, and the number and size of dents. Prediction accuracy is 98%. Because input data is captured in a structured and consistent way, the model delivers reproducible results — unlike manual estimates that vary from assessor to assessor.