Segmentation of Consumers of fur Products in a Commercial Enterprise and Forecasting Demand for them
V. N. Kibzun, N. P. Nagornaya
State Organization of Higher Professional Education «Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky»
Abstract: The purpose of the work is to improve the methods of forecasting the economic indicators of a trading enterprise. An economic and mathematical model of the formation of demand for fur products is proposed. This model is built in the form of regression equations – one and multivariate variables. In the course of the study, a comparative analysis of the forecasted economic indicators of the enterprise was carried out and a model of the demand for fur products was built in the form of an equation for the relationship between their turnover and the amount (consumption) of each type of fur product and its price. When forecasting the demand for fur products, polynomial and linear equations were used. A simulation model was also used, which allows predicting and analyzing the dynamics of possible situations in the future and evaluating the consequences of tested strategies in order to find the optimal one. This allows you to purposefully influence the system and control the processes taking place in it. The effectiveness of the method of expert estimates for assessing the volume of demand is shown. A block diagram of economic and mathematical modeling of population demand for a specific product is proposed.
Keywords: demand, consumer segmentation, fur products, degree of satisfaction of needs.
Pages: 34-42.
Link for citation: Kibzun, V. N.; Nagornaya, N. P. Segmentation of Consumers of fur Products in a Commercial Enterprise and Forecasting Demand for them. – Text : electronic. – In: Proceeding of the Donbas National Academy of Civil Engineering and Architecture. – 2021. – Issue 2021-1(147) Modern building materials. – Р. 34-42. – URL: https://donnasa.ru/publish_house/journals/vestnik/2021/2021-1(147)/st_04_kibzun_nagornaya.pdf (date of access: 15.10.2024). (in Russian)
Issue 2021-1 (147)Journal: Proceeding of the Donbas National Academy of Civil Engineering and Architecture
Publish house: Donbas National Academy of Civil Engineering and Architecture