Automation of Making Marketing Decisions

Authors

  • Giorgi Kuchava Business and Technology University, Tbilisi, Georgia, Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi, Georgia
  • Maia Mantskava Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi, Georgia, European University, Tbilisi, Georgia

Keywords:

Sales volume, factor of influence, trend, prediction, correlation, prediction error

Abstract

The article considers the application of complex marketing analysis to predict the sales volume of an organi-zation, in order to plan the optimal amount of costs and assess the risks of making marketing decisions. The given method is not the usual prediction of the indicator by indicator, and takes into account the interaction of the studied indicator with various market factors. An information technology corresponding to the method was developed using the Ms Excel package.

References

. Scott Armstrong J., Brodie Roderick J. Forecasting for Marketing. Quantitative Methods in Marketing, Second Edition. London: International Thompson Business Press. 2009; :92-119.

. Frank E. Harrell Jr. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression. Springer: 2nd ed. 2015; :582

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Published

2021-11-18

How to Cite

Giorgi Kuchava, & Maia Mantskava. (2021). Automation of Making Marketing Decisions. International Journal of Formal Sciences: Current and Future Research Trends, 12(1), 1–6. Retrieved from https://ijfscfrtjournal.isrra.org/index.php/Formal_Sciences_Journal/article/view/593

Issue

Vol. 12 No. 1 (2021)

Section

Articles

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