Learning Factories (LFs), embodied as physical environments replicating realistic production systems for education, are rapidly expanding. These LFs need to enable a variety of learning objectives, allowing diverse learning activities to leverage their capabilities whilst keeping them human-centered. Subsequently, the digital level of LFs needs to be enhanced with technology and manufacturing solutions that improve the system flexibility whilst still maintaining high levels of user-friendliness and industry-realism. Based on literature and empirical observations, communication between users in certain LFs is not efficient and, hence, lacks industry realism. Moreover, inefficient unstructured material handling led to high waste of non-value-adding time and traffic bottlenecks. To avoid the inherent complexity of existing commercial systems, an Order and Inventory Management System (OIMS) was developed in-house to enhance the workflow of manual assembly tasks, facilitate inventory management, avoid vendor lock-in, and streamline material handling by enhancing communications and information flows. To give practical ground and evaluate the efficiency and flexibility improvements of this OIMS, a case study was conducted within the FAB2. The outcomes demonstrate highly flexible material handling and streamlined inventory management capabilities, unconstrained by vendor lock-in. Additional complementary benefits were also found concerning measurable insights into the operational status of workstations.