LA INTELIGENCIA ARTIFICIAL Y SU IMPACTO EN LA GESTIÓN DE INVENTARIOS EN LA CADENA DE SUMINISTRO

Abstract

The use of systems and algorithms in a field of great relevance that is the supply chain is becoming more and more frequent, integrating a large amount of data (Big Data) that exists in cyberspace, which operated with artificial intelligence efficiently and effectively manage risks. The objective of this research is to determine how the use of machine learning, advanced optimization and the inclusion of algorithms, positively impacts inventory management, mainly in the reduction of stock and in the savings of internal or external storage within the supply chain. The warehouse management system method known under the acronym WMS (SAP WMS complex mode, 2024; SAP EWM, 2024). In a sample of 130 companies the auto parts industry located in Guanajuato. The results showed that the use of the artificial intelligence clustering algorithm generated a considerable improvement in both warehouse saturation by going from a utilization level of 68% to a maximum average utilization of 93%.