This article explores the application and importance of intelligent warehouse management systems in modern logistics management. With the rapid development of global trade and the continuous growth of logistics demand, traditional warehouse management methods are no longer able to adapt to the growing market demand. Therefore, this article delves into how to use Recurrent Neural Network (RNN) and Radio Frequency Identification (RFID) technology to build an intelligent warehouse management system. Through the application of RFID technology, the material in and out process is automated, greatly improving the efficiency and accuracy of warehouse operations. Meanwhile, as a powerful sequence model, RNN can accurately predict the future demand for materials based on time series data, providing decision support for warehouse managers and helping them flexibly adjust inventory strategies to cope with market fluctuations. By combining RFID and RNN technologies, this article constructs an intelligent warehouse management system that can monitor logistics in real-time, accurately predict demand, and make intelligent decisions. This system not only helps to reduce logistics costs and improve inventory turnover, but also enhances customer service levels to meet the urgent market demand for efficient logistics. In addition, this article also explores the advantages of RNN in the field of intelligent warehouse management.