The emergence of new technologies in the sector of logistics and supply chain managementservices has scaled up businesses at an unimaginable rate, thus reaching new boundaries in termsof lead time and efficiency. In order to register continuous growth and cope with an increaseddata intake flow, companies need to coordinate projects, human resources and data seamlessly.The purpose of this study is to determine and implement an alternative method for enhancingwarehouse process management and automation by adopting new, affordable and robusthardware and software technologies. The work revolved around the development of anexperimental shelf which uses a microcontroller and embedded Artificial Intelligence toautomate the process of inventory monitoring and control. The project is not meant to be abreakthrough in terms of automation systems, but rather a small contribution to the transition of amore automated, robust, efficient and open-source future. The developed data model returnedabove average results which might suggest a production ready concept. Taking as key factors therelatively small size of the dataset, as well as the standardized nature of the model, the affordableprerequisites and the ease of assembly and implementation, it enables to say that the massadoption of intelligent embedded systems for automated solutions has a promising future.