Predictive model based on Machine Learning for the Supply Chain and its influence on the logistics management of car sales company

Abstract

Without a doubt one of the greatest strengths that a country has is the production and exportation of raw materials and also finished products, but none of this would be possible without an optimized and automated supply chain in relation to logistics management, what this research aims to do is to present a smart supply chain model through a predictive algorithm of machine learning. After applying the predictive model, the obtained result showed that sales increased according to the type of car; Sedan 48.60%, Wagon 11.73% and Hatchback 32.52%. On the other hand, it is also observed that there is a marked relationship between variables 1 and 2 of 80.2%, and it is also observed that there is a relationship between variables 1 and 3 of 78.9%, and we also observed a relationship between variables 2 and 3 of 82.3%.