Abstract: A computer-implemented method for estimating at least one quality parameter of paperboard produced in a paperboard production subprocess of a paperboard processing pipeline by a data-driven module having a preprocessing module and a machine-learning module. Sensor data is acquired along the processing pipeline. Features are extracted from the sensor data by the preprocessing module. The machine-learning module is trained to reproduce target quality values from historical features. After training, the machine-learning module processes real-time features and estimates at least one quality parameter. A system implements the computer-implemented method and to a paperboard production machine includes such a system.