Previsão de demanda de alimentos de cesta básica em uma empresa supermercadista

Abstract

With the growth of both industry and commerce, productive service systems gain prominence. Therefore, companies in this sector need to improve and innovate more effective management techniques and processes. In this scenario, the application of demand forecasting techniques is essential to facilitate the establishment of the necessary resources for a company. In view of the above, the objective of this work is to apply quantitative demand forecasting methods for a mix of basic food products from a supermarket company, located in the city of Ituiutaba-MG. The present study is of an applied nature. In relation to the objectives, this is a quantitative research. Regarding the procedure, a case study was carried out. The results showed that the classical time series decomposition model was the one that presented the lowest MAD and MAPE values, and the 4 MAD monitoring chart indicated that the model is compliant.