Reestructuración de procesos en una empresa importadora y distribuidora de fertilizantes a nivel nacional.

Abstract

In a globalized world there are new ways and opportunities to which we must adapt, especially to new technological tools. It is important for companies to make an analysis of these tools to make the right decisions in the long term, resulting in the ability to restructure processes so that they are optimal. In this case, artificial intelligence is one of the most striking and innovative concepts for companies in recent times due to the great contribution it generates in the business environment. Within the concepts of artificial intelligence, we have Machine Learning, which provides the necessary resources to perform an analysis of what a company needs through data management that it has. The objective of this research is to analyze the efficiency of the salesmen of Quimasa S.A., by means of different Machine Learning processes, since this company has not implemented this type of analysis. The sales data of the company for the last year was obtained and the use of Supervised Learning processes was made, which were Decision Tree and Random Forests, to let the company, know the performance of the sales that were made and to improve in the long term so that the same mistakes are not made.