Review of models of reading warehouse goods for the purpose of their monitoring in autonomous modes of operation

Abstract

This article discusses a model for reading goods in a warehouse for the purpose of monitoring them in autonomous operating modes. The relevance of the topic is driven by the need to enhance the efficiency of warehouse process management and minimize errors amid growing trade volumes. The proposed model is based on the integration of RFID, IoT and blockchain technologies for automatic identification of goods, data collection and analysis in real time. Special attention is paid to the system's autonomy, including the use of embedded algorithms for data processing and decision-making without constant connection to a central server. The article also examines the limitations of the model, such as high implementation costs and integration complexities, and proposes ways to overcome them, including phased implementation and the use of hybrid solutions.