Implementación de Machine Learning en el área de ventas de la empresa Zapec S.A.

Abstract

Today the world has become globalized and opportunities to adapt properly with new tools have taken the lead in the digital age. Companies currently must analyze the importance of maintaining a proper order in all decisions that are taken in the long term and how these can evolve into a more optimal impact. Artificial intelligence is one of the newest concepts of recent times, because the tools it provides manage to meet the necessary parameters in the business environment. Machine learning provides the necessary resources to analyze all the scenarios that a company requires when handling all the data that is generated in the long term. The objective of this paper is to analyze the viability of the sales forecast of Zapec S.A, since they do not know the use of machine learning, the basis of the company itself was obtained with the use of unsupervised learning and using linear regression proceeds to make a forecast to help the company to properly boost and in the future improve those factors that may affect the performance of sales that are made.