The final thesis explores technological innovations in warehousing, with an emphasis on new technologies that are transforming warehouse and distribution center management in modern organizations. The first part of the paper describes the basic characteristics of traditional warehouses and the need for modernization due to the growing requirements for speed, accuracy and efficiency. Key innovations analyzed include automated warehouse systems (AS/RS), warehouse management systems (WMS), and the integration of the Internet of Things (IoT) and artificial intelligence (AI). Automated tools, such as robotic arms and autonomous mobile robots, improve the speed and precision of warehouse operations, while WMS enables real-time inventory tracking and inventory optimization. The paper emphasizes the importance of applying IoT technology in warehouses, where sensors and devices enable real-time data collection and analysis, thus achieving better transparency, control of storage conditions and cost reduction. AI contributes to the optimization of warehouse routes and the analysis of large amounts of data to make informed business decisions. In addition to the above advantages, the paper also considers the obstacles to the implementation of advanced technology, such as high initial costs, training costs and the need for professional staff while ensuring safe working conditions. The conclusion of the paper emphasizes the importance of further research and development of warehouse technology in order for companies to maintain a competitive advantage in the market. The paper contributes to a better understanding of the functioning of these technologies and the impact on the transformation of business systems.