Applying K Means Clustering Techniques on Retail Shop-Reference-Cited by-同舟云学术

Applying K Means Clustering Techniques on Retail Shop

Published:2024-07-09 Issue: Volume: Page:616-623
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Chandra Mohini C.P ¹,V. Raghavendran ¹

Affiliation:

1. Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India

Abstract

Implement a customer segmentation system using k-mean clustering for a Retail business. Collect Data and pre-processing to clear missing data and inconsistence data and then visualization to analysis(EDA), apply K-Means to divide customer into distinct groups based on purchasing behaviour. Analyse and create customer profiles for each segment to optimize marketing strategies and enhance customer Engagement. Main goal of in this project on price optimization, Increase revenue, brand awareness and increase relationship between customer and enhance marketing Strategies and increasing sales.

Publisher

Naksh Solutions

Reference10 articles.

1. "Market Segmentation: A Review" by Paul Smith. (Journal of Marketing Management, 1956) - This seminar paper lays the foundation for modern market segmentation and provides a historical perspective on theconcept.

2. "Market Segmentation: Conceptual and Methodological Foundations" by Wagner A. Kamakura and Michel Wedel. (International Journal of Research in Marketing, 1997) - This paper delves into the conceptual and methodological aspects of market segmentation, providing an in-depth understanding of the process.

3. "Customer Segmentation and Clustering Using SAS Enterprise Miner" by Randall S. Collica. (Book, 2014) - This book covers practical approaches to customer segmentation using SAS Enterprise Miner, offering insights into the application of data analytics in segmentation.

4. "Customer Segmentation and Clustering Using Unsupervised Learning" by Deepak Arora. (Book, 2018) - This book focuses on customer segmentation using unsupervised learning techniques and provides a comprehensive guide to data-driven segmentation methods.

5. "A Review of Customer Relationship Management: Success Factors & Benefits" by Hussain Al-Hawari, T. Y. Hartley, and Moheeb Abu Saud. (Journal of Database Marketing & Customer Strategy Management, 2005) -This paper explores the relationship between customer relationship management (CRM) and customer segmentation, highlighting success factors and benefits.