Projeções de faturamento de uma empresa no segmento de moda e a importância do planejamento financeiro: um estudo de caso

Abstract

The aim of this paper is to study and construct a forecast model for the QR Company’s billing. For this purpose, it uses time series, seeking to generate forecasts that help in the elaboration of a financial planning for the company. To support the work, a study about financial planning, the company and the fashion e-commerce segment was carried out. The study consisted of research and apply a data analysis method that can be used as a decision-making support tool on the preparation of the brand’s financial planning. The historical monthly billing database covers the period from June 2020 to November 2021. Using the Exponential Damping Method, on multiple leves, it was possible to create forecasts, however, through models with not clearly explained. In conclusion, the use of this mathematical-statistical method to generate revenue forecasting scenarios, to assist in the elaboration of a financial planning, but more data is necessary. It’s proposed that there is a systematic routine for updating the database, so that this and other analysis methodologies can be applied.