Price Monitoring Automation with Marketing Forecasting Methods
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Date
2022-09
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Publisher
International Journal of Computer Science and Network Security
Abstract
The main aim of the article is to solve the problem of automating
price monitoring using marketing forecasting methods and Excel
functionality under martial law. The study used the method of
algorithms, trend analysis, correlation and regression analysis,
ANOVA, extrapolation, index method, etc. The importance of
monitoring consumer price developments in market pricing at the
macro and micro levels is proved. The introduction of a Dummy
variable to account for the influence of martial law in market
pricing is proposed, both in linear multiple regression modelling
and in forecasting the components of the Consumer Price Index.
Experimentally, the high reliability of forecasting based on a
five-factor linear regression model with a Dummy variable was
proved in comparison with a linear trend equation and a fourfactor
linear regression model. Pessimistic, realistic and
optimistic scenarios were developed for forecasting the
Consumer Price Index for the situation of the end of the Russian-
Ukrainian war until the end of 2023 and separately until the end
of 2024.
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Citation
Penkova O., Zakharchuk O., Blahun I., Berher A., Nechytailo V., Kharenko A. Price monitoring automation with marketing forecasting methods