The Virtual IoT Manufacturing System (VIMS) project aims to develop and industrialize a new, complete and integrated digital ecosystem (VIMS system/platform) for industrial and manufacturing environments. The core of the VIMS system combines an IIoT (Industrial Internet of Things) platform, along with all its data collected from the factories, advanced analysis techniques and Artificial Intelligence (AI) models with a Digital Twin (DT) of the factory or production line. Two use cases in the pharmaceutical sector out of this project are presented here. The first use case assesses the application of predictive calibration of the clean room environmental monitoring sensors (temperature, humidity and differential pressure) with the potential to change from periodic to condition-based calibration. The second use case is based on an application the planning team can use as a support tool for the production planning in order to get optimum options for the production batch scheduling.