Advancing Warehouse Management Systems: Optimizing Loading-Unloading, Conditioning, Packing and Marking Processes with Adaptive AI Technology

Abstract

-Warehouse management efficiency is critical in current supply chain operations, necessitating the deployment of adaptive technological solutions. This study investigates the application of modern technologies to improve several areas of warehouse management systems (WMS), such as loading and unloading, conditioning, packing, marking, and provisioning. This study explains the challenges faced by traditional warehouse management procedures and the potential given by adaptive technological improvements using a detailed analysis of existing literature. Key technologies such as the Internet of Things (IoT), robotics, artificial intelligence (AI), and automation are reviewed in the context of their use to improved warehouse operations. Furthermore, the paper emphasizes the advantages of integrating these technologies, such as increased efficiency, accuracy, and scalability, while also discussing potential barriers and concerns for successful implementation. Warehouses can satisfy the changing needs of contemporary supply chain systems and improve productivity by using adaptive technological solutions.