AI-Enabled Personalization Strategies and Their Impact on E-Commerce Performance

Authors

  • Mr Shaikh Mohd Rehan, Mr Rizwan Sattar Khan

Keywords:

AI-Enabled Personalization, E-Commerce Performance, Customer Experience Optimization, Behavioral Data Analytics, Conversion Rate Enhancement

Abstract

By providing highly customized purchasing experiences, artificial intelligence (AI) has completely changed the e-commerce industry. This study examines the effects of AI-driven personalization techniques (such as customer segmentation, recommendation systems, and dynamic content) on important performance indicators for online retailers, including conversion rate, average order value, customer retention, and total revenue. The analysis, which makes use of secondary data from industry publications, case studies, and peer-reviewed studies, indicates that businesses using AI personalization routinely perform better than those using generic strategies. But there are still issues, especially with regard to algorithmic bias, data privacy, and implementation costs.

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How to Cite

Mr Shaikh Mohd Rehan, Mr Rizwan Sattar Khan. (2025). AI-Enabled Personalization Strategies and Their Impact on E-Commerce Performance. International Journal of Research & Technology, 13(S4), 205–210. Retrieved from https://ijrt.org/j/article/view/711

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