BUSINESS INFORM JOURNAL.

УКР

ENG

Search:

REGISTRATION CERTIFICATE

KV #19905-9705 PR dated 02.04.2013.

FOUNDERS

RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)

According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media.
ID R30-03156

PUBLISHER

Liburkina L. M.

SITE SECTIONS

Assessment, Analysis, and Forecasting of Consumer Preferences in Assortment Management
Mashchenko M. A., Gudymenko V. P.

Mashchenko, Marina A., and Gudymenko, Viacheslav P. (2025) “Assessment, Analysis, and Forecasting of Consumer Preferences in Assortment Management.” Business Inform 8:127–135.
https://doi.org/10.32983/2222-4459-2025-8-127-135

Section: Economic and Mathematical Modeling

Article is written in Ukrainian
Downloads/views: 0

Download article (pdf) -

UDC 658.628, 519.2

Abstract:
A set of models for assessing, analyzing, and forecasting consumer preferences of a production-trade enterprise has been developed, consisting of four main blocks. The task of the first block is to create an initial system of indicators reflecting key characteristics of demand, consumer behavior, and assortment efficiency. The tasks of the second block include classification and ranking of the current product set into homogeneous groups, classification and ranking of clients, analysis of demand elasticity, analysis of demand dependence on a set of influencing factors, identification of key factors affecting product choice, and measurement of the importance of product characteristics for the buyer. The main model of the third block is a probabilistic model for forecasting consumer preferences, which treats the process of changes in system states as a random process with discrete states and discrete time. The fourth module consists of static and dynamic decision-making models. The latter allows, given a known initial state of the system, finding a conditionally optimal sequence of actions (single-step strategies) for a predefined planning horizon. A practical implementation of the consumer preference forecasting model is presented using the consumer sentiment index as an example. The model enables obtaining forecast probabilities of consumer preference states, which serve as a quantitative basis for making well-founded managerial decisions in the field of product assortment optimization. Using the proposed set of models creates the conditions for improving planning efficiency, reducing uncertainty, and enhancing management flexibility under dynamic market changes.

Keywords: product assortment management, consumer preferences, analysis, assessment, forecasting, system, set of models, probability.

Fig.: 3. Tabl.: 1. Formulae: 9. Bibl.: 21.

Mashchenko Marina A. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]
Gudymenko Viacheslav P. – Postgraduate Student, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]

List of references in article

Bahety, P. K., Sarkar, S., De, T., Kumar, V., & Mittal, A. (2022). Exploring the factors influencing consumer preference toward dairy products: an empirical research. Vilakshan – XIMB Journal of Management, 21(1), 15–32. https://doi.org/10.1108/XJM-03-2022-0062
Beckmann, S. C., & Elliott, R. H. (2000). Interpretive consumer research: paradigms, methodologies and applications. Copenhagen Business School Press.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2006). Consumer behavior. Harcourt College Publishers, New York.
Chaudhuri, N., Gupta, G., & Sharma, S. K. (2024). Outpacing choices: Examining dynamic consumer preferences across multi-generational information-intensive digital products. International Journal of Information Management, 77. https://doi.org/10.1016/j.ijinfomgt.2024.102784
Chunikhina, T. S., Polozov, O. B., & Turchyn, O. A. (2024). Shtuchnyi intelekt i analiz spozhyvchykh trendiv: perspektyvy vykorystannia v marketynhu [Artificial intelligence and analysis of consumer trends: prospects for use in marketing]. Investytsii: praktyka ta dosvid, 22, 162–168. https://doi.org/10.32702/2306-6814.2024.22.162
Dykha, M., Hrypynska, N., Tsehelyk, H., & Marko, M. (2019). Optymizatsiia planu vyrobnytstva produktsii shliakhom trykryterialnoho modeliuvannia [Optimization of the production plan by three-criteria modeling]. Technology Audit and Production Reserves, (4(49)), 40–45. https://doi.org/10.15587/2312-8372.2019.181104
Dykha, M., Maksymchuk, V., & Vilchynska, T. (2023). Teoretyko-metodychni osnovy upravlinnia asortymentom produktsii [Theoretical and methodical foundations of product range management]. Herald of Khmelnytskyi National University. Economic Sciences, 324(6), 397–402. https://doi.org/10.31891/2307-5740-2023-324-6-6
Federal Reserve Bank of St. Louis. https://fred.stlouisfed.org/series/UMCSENT
Feng, Y., Caldentey, R., & Ryan, C. T. (2021). Robust Learning of Consumer Preferences. Operations Research, 70(2), 918–962. https://doi.org/10.1287/opre.2021.2157
Hayes, A. (2023). Michigan Consumer Sentiment Index (MCSI): What it Means, Uses. Investopedia. https://www.investopedia.com/terms/m/mcsi.asp
Howard, J. A. (1969). The theory of buyer behavior. Wiley, New York.
Hrypynska, N. V. (2020). Applying dynamic programming method to solving the problem of optimal allocation of funds between projects. Journal of Automation and Information Sciences, 52(1), 56–64. https://doi.org/10.1615/JAutomatInfScien.v52.i1.60
Jiang, H., Kwong, C. K., Okudan Kremer, G. E., & Park, W.-Y. (2019). Dynamic modelling of customer preferences for product design using DENFIS and opinion mining. Advanced Engineering Informatics, 42. https://doi.org/10.1016/j.aei.2019.100969
Karabaza, I., Popova, Yu., & Il’ienkov, M. (2023). Vplyv zovnishnikh faktoriv na spozhyvachiv posluh: analiz ta modeliuvannia [Influence of external factors on consumers of services: analysis and modeling]. Sotsialni tekhnolohii, 8, 115–122. https://doi.org/10.35362/st.2023.08.15
Kotvytska, N. M., Oriabynskyi, A. S., & Parankevych, M. I. (2024). Osoblyvosti zovnishnoho monitorynhu maloho pidpryiemnytstva v konteksti spozhyvchykh tovariv [Features of external monitoring of small business in the context of consumer goods]. Ekonomika ta suspilstvo, 67. https://doi.org/10.32782/2524-0072/2024-67-90
Liberto, D. (2024). Consumer Sentiment: Definition, Measurement, and Importance. Investopedia. https://www.investopedia.com/terms/c/consumer-sentiment.asp
Naida, R., Lebedynets, T., & Vovk, L. (2023). Teoretychni modeli spozhyvchoi psykholohii: vplyv na rynkovu povedinku [Theoretical models of consumer psychology: influence on market behavior]. Ekonomichnyi chasopys-XXI, 176(3), 40–44. https://doi.org/10.21003/ea.V176-03
Nakonechna, T., Blystiv, I., & Burak, V. (2023). Modeliuvannia spozhyvchoi povedinky v umovakh transformatsii systemy suspilnykh tsinnostei [Modeling consumer behavior in the context of transformation of the system of social values]. Ekonomika i suspilstvo, 43, 102–108. https://doi.org/10.32782/2524-0072/2023-43-13
Proskurnina, N., Bestuzheva, S., & Kozub, V. (2022). Analitychni aspekty doslidzhennia povedinky spozhyvachiv v umovakh tsyfrovizatsii ekonomiky Ukrainy [Analytical aspects of consumer behavior research in the context of digitalization of the economy of Ukraine]. Ekonomika ta suspilstvo, 36. https://doi.org/10.32782/2524-0072/2022-36-4
Valentia, A. (2023). The theory of consumer choice: understanding the decision-making process. https://doi.org/http://dx.doi.org/10.2139/ssrn.4508226
Zhurylo, V. V. (2022). Otsinka ta analiz pokaznykiv spozhyvchoi loialnosti u marketynhovii diialnosti kompanii [Evaluation and analysis of consumer loyalty indicators in the marketing activities of the company]. Skhidna Yevropa: ekonomika, biznes ta upravlinnia, 34, 87–95. http://srd.pgasa.dp.ua:8080/xmlui/handle/123456789/8852

FOR AUTHORS

License Contract

Conditions of Publication

Article Requirements

Regulations on Peer-Reviewing

Publication Contract

Current Issue

Frequently asked questions

INFORMATION

The Plan of Scientific Conferences

OUR PARTNERS

Journal «The Problems of Economy»

The site and its metadata are licensed under CC BY-SA.

Write to webmaster