THE ROLE OF MACHINE LEARNING-DRIVEN SOLUTIONS IN ENHANCING MANAGERIAL DECISION-MAKING IN THE RETAIL INDUSTRY
| dc.contributor.author | Samko, Vladyslav | |
| dc.date.accessioned | 2025-04-23T12:03:11Z | |
| dc.date.available | 2025-04-23T12:03:11Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Traditionally, data processing in the retail industry heavily relies on manual methods or situational sampling, often affected by human factors such as data manipulation or falsified photo reports to hide poorly executed tasks. The purpose of this research is to analyze the practical impact of implementing machine learning (ML) technologies on enhancing managerial decision-making and business process transformation in the Ukrainian retail sector. The research aims to answer the question: How do ML-driven solutions improve the quality and efficiency of managerial decision-making in the Ukrainian retail sector? Hence, the project involved the Confectionery Corporation “Roshen” and its 20 subsidiary distributors to conduct the study and answer the stated question. Mix of quantitative and qualitative methods have been utilized in the project to assess the implementation and performance of ML-driven solutions. Based on the results of this implementation, the adoption of ML solutions optimized personnel management, improved analysis and evaluation of merchandising performance, minimized manipulations, and automated processes, thereby enhancing the quality of managerial decision-making in Confectionery Corporation “Roshen” and its 20 subsidiary distributors. The findings of the research highlight the efficiency of ML-driven solutions and show their potential for other areas such as sales forecasting of new products and marketing research. Future research should focus on enhancing automatization of current solution and exploring additional opportunities for leveraging ML to optimize business operations, reducing operational costs and strengthen competitive positioning in the retail sector. | |
| dc.identifier.citation | Samko, Vladyslav. (2025). THE ROLE OF MACHINE LEARNING-DRIVEN SOLUTIONS IN ENHANCING MANAGERIAL DECISION-MAKING IN THE RETAIL INDUSTRY. Kyiv: American University Kyiv. | |
| dc.identifier.uri | https://er.auk.edu.ua/handle/234907866/146 | |
| dc.language.iso | en_US | |
| dc.publisher | Manuscript | |
| dc.subject | machine learning | |
| dc.subject | managerial decision-making | |
| dc.subject | retail digital transformation | |
| dc.subject | business process automation | |
| dc.title | THE ROLE OF MACHINE LEARNING-DRIVEN SOLUTIONS IN ENHANCING MANAGERIAL DECISION-MAKING IN THE RETAIL INDUSTRY | |
| dc.title.alternative | РОЛЬ МАШИННОГО НАВЧАННЯ ЯК ІНСТРУМЕНТУ В ПОКРАЩЕННІ УПРАВЛІНСЬКИХ РІШЕНЬ У ГАЛУЗІ РОЗДРІБНОЇ ТОРГІВЛІ | |
| dc.type | Thesis |