1
Master's degree, Organizational Architecture Laboratory, Faculty of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz
2
Associate Professor, Organizational Architecture Laboratory, Faculty of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz
Abstract
Nowadays, with the increasing volume of data in businesses and industries such as the retail sector, which seek solutions to retain existing customers and acquire new ones, the need to uncover hidden insights from this data has become evident. This industry generates a large amount of data daily, which contains valuable information. By leveraging artificial intelligence, as well as data mining techniques and algorithms, hidden patterns within this vast amount of data can be discovered. In this research, using the extended CRISP-DM methodology and the RFM,، RFMD and RFML models as inputs to the k-means algorithm, customer data has been clustered. Subsequently, association rules and the Apriori algorithm have been employed to discover relationships and patterns between the products purchased by customers within the obtained clusters. This approach aims to provide managers with solutions for better decision-making, leading to more effective actions for different customer segments and improving sales strategies.
jamshidi moghaddam,M and khayami,S R . (2024). Improving Customer Relationship Management in the Retail Industry Using Artificial Intelligence and Data Mining. Computing and distributed systems, 7(1), 98-105.
MLA
jamshidi moghaddam,M , and khayami,S R . "Improving Customer Relationship Management in the Retail Industry Using Artificial Intelligence and Data Mining", Computing and distributed systems, 7, 1, 2024, 98-105.
HARVARD
jamshidi moghaddam M, khayami S R. (2024). 'Improving Customer Relationship Management in the Retail Industry Using Artificial Intelligence and Data Mining', Computing and distributed systems, 7(1), pp. 98-105.
CHICAGO
M jamshidi moghaddam and S R khayami, "Improving Customer Relationship Management in the Retail Industry Using Artificial Intelligence and Data Mining," Computing and distributed systems, 7 1 (2024): 98-105,
VANCOUVER
jamshidi moghaddam M, khayami S R. Improving Customer Relationship Management in the Retail Industry Using Artificial Intelligence and Data Mining. Computing and distributed systems. 2024;7(1):98-105 (In Persian).