Prescribe uses advanced predictive and prescriptive machine learning capabilities to predict defects, faults and quality errors and prescribe optimal control parameters to improve production. The solution can be integrated into a manufacturer’s existing data environment in as little as four to eight weeks. It ingests and analyzes process and quality control information from databases, spreadsheets, streaming sensors and PLC sources and can record as many as a thousand data points a second. Machine learning models can learn from this data to identify optimal control bounds. A Web interface helps operators to identify when operational parameters have exceeded the target control bounds and prioritizes the changes required to optimize production and reduce scrap.