INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This research paper explores the application of K-means clustering and RFM analysis to segment customers in a Brazilian marketplace, aiming to enhance logistics and supply chain management and improve customer satisfaction. The study identifies four distinct customer segments: Relatively New Comers/Low Spenders, Loyal Customers, Lost/Low Spenders, and Big Spenders. Through the analysis, the marketplace can tailor its logistics and supply chain strategies based on the specific needs and preferences of each segment.
"Clustering Customers of an E-Commerce Store using K-Means Clustering and RFM Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g240-g252, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305629.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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