Regarding to a lack of transparency, expert interviews have shown that many activities in load-carrier-management in companies are performed manually and are prone to errors. The consequences are overstock or more severe understock of load carriers. This article presents the concept of the data-based service “automated monitoring of stock levels”. The service is based on the integration of technologies for identification, communication and localization into conventional load carriers and the generation of data during the logistic process. The data are processed in a cloud-based service-system that triggers supply chain events in case of potential understock of load carriers to prevent supply chain disruptions.
