Aplicación del Machine Learning en plataformas digitales de servicios delivery en la ciudad de Guayaquil.

Abstract

The objective of this research is to analyze the Machine Learning applied in delivery apps and its contribution to the growth of sales in the commercial sector of Guayaquil. To address it, the theoretical foundations related to Machine Learning were analyzed, where it was understood that it was a discipline that allows automation in certain processes carried out by a computer, making human intervention less and less. To this, in the business field it can be very useful to make sales predictions, and database analysis that allow opening a market opportunity in areas that at first glance could not be done without the appropriate support. For this reason, the work was complemented with an interview with three experts in the field of Machine Learning, whose opinion was decisive to learn more about the challenges, costs and recommendations of applying Machine Learning. Although everyone agrees that the benefits of this tool are vital on an economic scale, there is no exact value that determines how much the implementation of this tool could cost in business; but it is more recommended for medium or large businesses because they estimate that they are the ones who have the possibility of making a greater investment.