Description
Continuous Process Optimization uses machine learning to analyze historical process data and suggest ongoing improvements to workflows. By examining patterns in past performance, AI identifies inefficiencies and recommends specific adjustments to streamline operations, reduce waste, and enhance productivity. This use case supports a culture of continuous improvement, helping organizations remain competitive by adapting and optimizing their processes over time.