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. But, to be more competitive in a complex market, the supply chain can improve its performance by applying coordination between its different retailers, called "Transshipment-Lateral", which organizes stock transfers between sites of the same level, either according to a preventive policy to reduce the risks of stock shortages in the face of anticipated customer demands, or according to an emergency policy to resolve the problem of actual stock shortages.

DOI: doi.org/10.63721/25JPAIR01101

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