Machine Learning-Driven Customer Segmentation: A Behavior-Based Approach for F&B Providers
This study explores behavior-based customer segmentation by integrating Recency, Frequency, and Monetary value (RFM) analysis with the K-Means++ clustering algorithm. Using one year of invoice-level transactional data from a Romanian Food and Beverage (F&B) provider serving restaurants and coffe...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Romanian Foundation for Business Intelligence
2025-12-01
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| Series: | SEA: Practical Application of Science |
| Subjects: | |
| Online Access: | https://seaopenresearch.eu/Journals/articles/SPAS_39_3.pdf |
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