The Analysis of Customers’ Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future

first_pagesettingsOrder Article Reprints Open AccessArticle The Analysis of Customers’ Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future by Marina Kholod 1ORCID,Alberto Celani 2,*ORCID andGianandrea Ciaramella 2 1 AI, Neurotechnology and Business Analytics Laboratory, Plekhanov Russian University of Economics, Stremyanny Lane, 36, Moscow 117997, Russia 2 Architecture Built Environment and Construction Engineering (ABC) Department Politecnico di Milano, Polytechnic University of Milan, Leonardo da Vinci Square, 32, 20133 Milan, Italy * Author to whom correspondence should be addressed. Appl. Sci. 2024, 14(24), 11567; https://doi.org/10.3390/app142411567 Submission received: 17 October 2024 / Revised: 4 December 2024 / Accepted: 7 December 2024 / Published: 11 December 2024 (This article belongs to the Special Issue Applied Machine Learning for Information Retrieval) Downloadkeyboard_arrow_down Browse Figures Versions Notes Abstract In today’s business landscape, the volume of transaction data is rapidly increasing. This study explores the integration of Point of Sale (POS) and Radio-Frequency Identification (RFID) technologies to enhance the analysis of customer transactions using big data tools. By leveraging these technologies, businesses can extract valuable insights to improve processes, optimize inventory, and boost customer satisfaction. The research employs an object—subject management approach, which facilitates real-time decision-making by merging retail transactions of the clients with their movement patterns. An experiment involving around 7000 customers demonstrates the effective collection and processing of POS and RFID data, highlighting the benefits of integrating these data streams. Key metrics, such as time spent in different store sections, provide deeper insights into consumer behavior. The findings reveal the potential of these technologies to transform retail services, offering opportunities for demand forecasting, risk management, and personalized customer experiences. The study concludes that merging POS and RFID data opens new avenues for developing management solutions aimed at enhancing customer engagement and the operational efficiency of the retailer. Future research will focus on further elaborating these solutions to maximize the benefits of integrated data analysis.