ПРИМЕНЕНИЕ КЛАСТЕРНОГО АНАЛИЗА ДЛЯ ОПТИМИЗАЦИИ АССОРТИМЕНТА ТОРГОВОГО ПРЕДПРИЯТИЯ
Ключевые слова:
ассортимент торгового предприятия, товарная матрица, статистические подходы к анализу дан-ных, кластерный анализ, параметры кластеризации, методы кластерного анализа, выручка, торго-вая наценка, оборачиваемость, удельные показатели эффективности продаж
Аннотация
В настоящей статье рассмотрены вопросы оптимизации ассортимента торгового предприятия методами кластерного анализа. Исследуются различные варианты параметров кластеризации, включающие показатели эффективности продаж: валовые (выручка и торговая наценка) и удельные (выручка с единицы торговой площади, наценка с единицы торговой площади и оборачиваемость). На основе полученных результатов даются рекомендации по изменению номенклатуры ассортиментной матрицы торгового предприятия.
Литература
REFERENCES
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1. Lapshinov S.B., Zhukova Ya.E., Speransky S.N., Amarzhargalan T. Improving the efficiency of invent-tory management based on the creation of statistical modelsю. News from higher education institutions. Textile technology. 2022. N 2(398). Р. 59-64.
2. Ermolaev M. B., Kadamtseva G. G., Lapshinov. S.B. Econometrics: a textbook. Ivanovo: Institute of Business, Information Technologies and Finance, 2011. 111 p.
3. Ventzel E.S. Probability theory: Textbook. For univer-sities. 6th ed. ster. M.: Higher School, 1999. 576 p.
4. Sergeev V.I., Elyashevich I.P. Planning the need for supplies based on forecasting methods. Logistics and supply chain Management = Logistics and Supply. National Logistics Association. 2012. N 3 (50). Р. 7-16.
5. Sterligova A.I. Inventory management in supply chains: Textbook. Moscow: INFRA-M, 2008. 430 p.
6. Utkin A.I., Speransky S.N., Ryabova O.N., T. Amar-zhargalan. Cross-functional management of the effici-ency of business processes of a textile enterprise using a balanced scorecard. News from higher education institutions. Textile technology. 2023. N 2 (404). Р. 42-50.
7. Thomopoulos N. Demand Forecasting for Inventory Control. Springer. 2016. 183 p.
8. Ellram L.M., Tate W.L., Petersen K.J. Offshoring and reshoring: an update on the manufacturing location decision. Journal of Supply Chain Management. Vol. 49, N 2, 2013. P. 14-22.
9. Morgunova Yu.N. Logistical costs: problems of definition and accounting. Everything for an account-tant. 2018. N 13(249). URL: http:// cyber-leninka/v/ logisticheskie-zatraty-problemy-predeleniya-iucheta/ обращения 10/15/2021
10. Moiseeva N.K. Economic fundamentals of logistics: textbook. Moscow: IINFRA, 2019. 528 p.
11. Glinskaya O.S., Skorikova I.S. Classification of logis-tics costs in online retail organizations. Audit and financial analysis. 2019. N 2. Р.48-51.
12. Strunnikova S.E., Novikov V.A. Financial risk management in investment and innovation projects. Modern high technology. Regional application. 2023. N 2(74). Р. 40-48. DOI:10.6060/snt. 20237402.0004.
13. Stepanova S.M., Gorinova S.V. Designing financial and material flows of an organization using neural network programming. Modern high technology. Regional application. 2023. N 1(73). Р. 16-23.
14. Sizova O.V., Savchenko V.G., Rychikhina N.S. Introduction of digital technologies into the retail store sales accounting system. Modern high technology. Regional application. 2022. N 4(72). Р. 62.
15. Tatarinov K.A., Tyapkina M.F. Knowledge management in a learning organization. Ivecofin. 2023. N 02(56). P. 36-44.
Опубликован
2026-05-27
Как цитировать
Борисович, Л., Эрностовна, Ж., Николаевич, С., & Борисович, Е. (2026). ПРИМЕНЕНИЕ КЛАСТЕРНОГО АНАЛИЗА ДЛЯ ОПТИМИЗАЦИИ АССОРТИМЕНТА ТОРГОВОГО ПРЕДПРИЯТИЯ. Современные наукоёмкие технологии. Региональное приложение, 86(2), 46-51. извлечено от https://snt-isuct.ru/article/view/7306
Выпуск
Раздел
Экономические науки
