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Title: :  Consumer Behavioural Analysis Using Advanced Clustering Techniques
PaperId: :  28220
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28220
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Supriya ThatiSphoorthy Engineering College
Kaja MasthanSphoorthy Engineering College
Pravalika KonduruSphoorthy Engineering College
Aishwarya JakkidiSphoorthy Engineering College
Bhanu Prasad KarvangaSphoorthy Engineering College
Lasya Priya KSphoorthy Engineering College

Abstract

Computer Science and Engineering
Customer Segmentation, K-Means Clustering, MeanShift, DBSCAN, RFM Analysis, Unsupervised Machine Learning, Streamlit, Business Intelligence, Behavioural Analytics, MongoDB
The rapid proliferation of digital transactions has generated vast volumes of customer data, creating an urgent need for intelligent and scalable segmentation tools that convert raw information into actionable business intelligence. This paper presents a comprehensive, web-based Customer Behavioural Analysis platform that integrates three complementary unsupervised machine learning algorithms—K-Means, MeanShift, and DBSCAN within a unified, user-friendly interface. The system is built using the Streamlit framework and supports secure multi-user authentication backed by MongoDB, complete activity logging, bulk dataset processing, real-time individual customer profiling, interactive visualizations, personalized discount recommendations, and automated email reporting. The proposed platform adopts the Recency-Frequency-Monetary (RFM) behavioural scoring model as its analytical foundation, further enriched by Annual Income as an additional feature. A weighted composite scoring scheme is applied and standardized before clustering. K-Means provides fixed-group segmentation, MeanShift automatically discovers optimal clusters, and DBSCAN detects outliers and irregular behavioural patterns. The system bridges advanced machine learning theory with practical business applications, making enterprise-grade customer analytics accessible to non-technical users across industries such as retail, e-commerce, banking, and services.

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IJARIIE Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. "Consumer Behavioural Analysis Using Advanced Clustering Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 763-777
MLA Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. "Consumer Behavioural Analysis Using Advanced Clustering Techniques." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 763-777.
APA Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, & Lasya Priya K. (2026). Consumer Behavioural Analysis Using Advanced Clustering Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 763-777.
Chicago Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. "Consumer Behavioural Analysis Using Advanced Clustering Techniques." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 763-777.
Oxford Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. 'Consumer Behavioural Analysis Using Advanced Clustering Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 763-777. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Consumer_Behavioural_Analysis_Using_Advanced_Clustering_Techniques_ijariie28220.pdf (Accessed : 07 April 2026).
Harvard Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. (2026) 'Consumer Behavioural Analysis Using Advanced Clustering Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 763-777IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Consumer_Behavioural_Analysis_Using_Advanced_Clustering_Techniques_ijariie28220.pdf (Accessed : 07 April 2026)
IEEE Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K, "Consumer Behavioural Analysis Using Advanced Clustering Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 763-777, Mar-App 2026. [Online]. Available: https://ijariie.com/AdminUploadPdf/Consumer_Behavioural_Analysis_Using_Advanced_Clustering_Techniques_ijariie28220.pdf [Accessed : 07 April 2026].
Turabian Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. "Consumer Behavioural Analysis Using Advanced Clustering Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 (07 April 2026).
Vancouver Supriya Thati, Kaja Masthan, Pravalika Konduru, Aishwarya Jakkidi, Bhanu Prasad Karvanga, and Lasya Priya K. Consumer Behavioural Analysis Using Advanced Clustering Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : 07 April 2026]; 12(2) : 763-777. Available from: https://ijariie.com/AdminUploadPdf/Consumer_Behavioural_Analysis_Using_Advanced_Clustering_Techniques_ijariie28220.pdf
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