Predictive statistical process control of a batch process, such as for a batch-based fermentation process like that used for brewing and distilling. Real-time data monitoring combined with a prediction engine allows operators to make adjustments to batch productions as deviations occur.

The model creates predictions based on past behavior and process parameters of previous batches. Real-time visibility and prediction enables immediate action, either manually or automatically, directly at the point of deviation.