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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48679
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In this digital era the behaviour of customers has undergone a profound transformation due to easy accessibility of internet and smart engineering technologies. Many industries, businesses, companies and organizations are offering the services to them. The market is very competitive so there is a need to adopt a technology as per customer expectations to cope up with these problems. The customer segmentation is one the best way to rectify these problems. This method is based upon to grouping customers based on similarities to tailor offerings and experiences. With the help of these segments, they can better meet specific needs and can build a best customer relationship. This paper explores how traditional and advanced customer segmentation methods such as K-Means Clustering, Principal Component Analysis, decision Tree Classifier, Elbow Method etc. to engineering innovation and highlights the intersection of customer analytics and engineering design, provide customize solutions.
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Publication Date
5/24/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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