Evaluating and improving specific process performance is challenging due to the complexity of establishing a robust and reliable historical database and defining the appropriate methodology capable of transforming available data into valuable information to support decision-making processes. Moreover, to ensure process capability in real-time, constantly applying the most suitable variables is not an easy task. Viridis Process supports decision-making in continuous improvement projects and real-time operation. It enables predictive analyses that simulate the outcome of performance KPIs under different conditions. The system not only generates a centralized database of equipment performance correlated to operational conditions and best practices. It also performs statistical analyses and simulations for various scenarios, providing accurate estimations for each heat, batch, or working cycle in real-time, enabling corrective countermeasures when deviations are identified as well as predictive alerts, feedback, and operational guidance for process operators. Viridis Process streamlines the analysis process, allowing engineers to focus their time and effort on root causes and process improvement.