Developing a customer demand forecast by extrapolated time series trend
Автор: Fakhridinova S.F.
Журнал: Экономика и социум @ekonomika-socium
Рубрика: Основной раздел
Статья в выпуске: 6-2 (97), 2022 года.
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The program for studying consumer demand may include various tasks. However, it is always required that estimates of the current state of demand be given, as well as estimates of the volume and structure of demand in the future. The article shows the use of extrapolation of the dynamic series trend to predict customer demand using the example of store turnover data for a certain period of time. A quadratic model for forecasting the volume of trade has been identified.
Extrapolation, forecasting, hyperbolic equation, time series, analytical alignment method
Короткий адрес: https://sciup.org/140299075
IDR: 140299075