Aplicación de Machine Learning en la demanda de productos permisibles.

Abstract

Today the world is going through a digital transformation, both financial, commercial, logistic, climatic, technological, telecommunications, among others sectors are adopting new technological tools that allow it to determine or anticipate probabilistic behaviors and that can be prepared in some way before any adverse situation with the purpose of reducing the risk or the impact caused. Artificial intelligence is one of the novel concepts that have caused a great impact in recent years, since it uses large databases to optimize the ability to predict what the company wants. Machine Learning is the clearest example of resource optimization since with a large amount of information, this automated learning calculates all possible scenarios reducing probabilistic capacity to its maximum expression. The objective of this work is to analyze the feasibility of the application of Machine Learning in the forecast of the demand of a perishable product since studies of application to the industrial sector of production or baking are unknown. This analysis will be carried out through the big data of a bakery company in conjunction with the respectful previous study of the product's shelf life.