AI-BASED RETAIL BUSINESS ANALYSIS USING K-MEANS CLUSTERING
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Artificial Intelligence (AI) has been identified as an emerging technology in the retail industry that has the potential to offer data-driven insights into customer purchase behavior. Today’s retail environment is capable of storing large amounts of customer purchase behavior in the form of customer transactional data. However, it is not possible to leverage statistical methods to perform analysis on large customer transactional data. This paper aims to perform an AI- based analysis of real customer purchase behavior data consisting of 1,800 transactions collected during 2023-
Machine learning methods will be used to perform an analysis of customer purchase behavior. Customers will be segmented into high-value, medium-value, and low-value segments using K-Means classification. This paper aims to show that AI-based customer segmentation is useful in decision-making in the retail industry, as suggested by previous studies on AI-based customer segmentation.
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S, G. (2026). AI-Based Retail Business Analysis using K-Means Clustering. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.192
S, Gurushankar. "AI-Based Retail Business Analysis using K-Means Clustering." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.192.
S, Gurushankar. "AI-Based Retail Business Analysis using K-Means Clustering." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.192.
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