Introducing an advanced digital manufacturing platform driven by the Internet of Things, Datonis offers ready-to-use applications that facilitate monitoring, measuring, analyzing, and forecasting outcomes harnessing the capabilities of artificial intelligence. This platform adopts a holistic approach to integrate IT and operational technology systems, enabling the monetization of expertise through the development of new applications and services. The system includes interplant process benchmarking and predictive models for quality assurance, alongside real-time compliance checks for quality audits. It features alerts for process compliance, trends in Cpk, and monitoring of quality rejections and scrap, all while establishing correlations between processes and defects. The platform also provides alerts for checklist schedule violations, conducts trend analyses on checklist data, and offers a flexible framework for creating diverse types of checklists. Users can receive checklist notifications, log observations on mobile devices, and consult images and videos before making decisions regarding checklist items. Additionally, there is an interactive application for operators, enabling them to engage with the platform and track progress in real-time, while the operator workbench allows them to provide feedback, raise alarms, request assistance, and access engineering documentation as needed. This comprehensive integration not only enhances operational efficiency but also fosters a culture of continuous improvement within manufacturing processes.