Previsão da demanda: uma aplicação prática na distribuidora XYZ

Abstract

Given the challenges posed by the globalized societies, companies need to improve and innovate in technical and managerial processes that can offset these obstacles. Therefore, it is a growing need to seek more efficient methods in order to shape the company's activities through the marketing context in which they are embedded. Thus, in this context, it is essential to empower competitive management tools with advanced technologies. Development of techniques for calculated and sophisticated demand forecasts, it is essential to facilitate the establishment of the necessary resources for a company. The objective is identify the method of forecasting the demand that best applies to the circumstances experienced by a company, which currently has stood out due to its growing number of sales, and by being inserted into a market quite concurred. The achievement of this study is a detailed analysis sales data for the three products of company, subsequently, an application of quantitative methods of demand forecasting, Thus, the results show that the series of sales of the products have a very strong downward trend, and a difficulty of perception of seasonality, since the data show an aptitude for randomness. It was diagnosed that the most efficient model was the mystification between linear regression and seasonal adjustment