Cooperation Between Artificial Intelligence and Lateral Transshipment: Qualitative Study

Abstract Artificial intelligence (AI) is transforming inventory management by leveraging advanced algorithms and machine learning techniques to analyze large data sets quickly and accurately. AI-powered systems can process data at unprecedented scale and speed, unlike traditional methods that rely on manual data entry and analysis. Transshipment and supply chain management are crucial concepts in modern logistics, often used to optimize the flow of goods between different points in the network. It refers to the process of transferring goods from one means of transport to another during their journey. It can occur at various points in a transportation network, such as ports, warehouses, or distribution hubs. This allows for more efficient redistribution of goods, often for geographical or economic reasons.