Consumer Trends and Online Shopping: An Effective Application of Data Mining

Understanding Customer Behavior and Loyalty in Dynamic Online Markets

Authors

  • V. Srikanth
  • Dr. Ashish Chaturvedi

Keywords:

consumer trends, online shopping, data mining, behavioural examples, time interims, electronic business-to-customer relationship, dynamic markets, business sector competition, customer churn, loyalty

Abstract

Customers and their behavioural examples over various time interims, is an essential application for organizations, particularly in the event of the last level of the online retail chain which is worried about electronic Business-to-Customer relationship. This is especially essential in powerful and regularly evolving markets, where customers are driven by consistently changing business sector rivalry and requests. This could prompt the forecast of 'agitate', or which customers are leaving the organization's faithfulness.

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Published

2018-04-01

How to Cite

[1]
“Consumer Trends and Online Shopping: An Effective Application of Data Mining: Understanding Customer Behavior and Loyalty in Dynamic Online Markets”, JASRAE, vol. 15, no. 1, pp. 68–71, Apr. 2018, Accessed: Jun. 27, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7577

Issue

Vol. 15 No. 1 (2018): Journal of Advances and Scholarly Researches in Allied Education (JASRAE)

Section

Articles

How to Cite

[1]
“Consumer Trends and Online Shopping: An Effective Application of Data Mining: Understanding Customer Behavior and Loyalty in Dynamic Online Markets”, JASRAE, vol. 15, no. 1, pp. 68–71, Apr. 2018, Accessed: Jun. 27, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7577