International Journal of Research and Scientific Innovation (IJRSI)
AI-Powered Personalization in Retail Shopping and Its Influence on Consumer Purchase Decisions
Published June 22, 2026 • Vol. 13, Issue 6, pp. 968–974Open Access
DOI: 10.51244/IJRSI.2026.1306000068
Abstract
The rapid integration of Artificial Intelligence (AI) into retail environments has significantly transformed the way consumers interact with products and make purchase decisions. AI-powered personalization systems, implemented by leading retail platforms such as Amazon and Flipkart, analyze consumer data including browsing behaviour, purchase history, and preference patterns to deliver highly customized product recommendations. This study aims to examine the influence of AI-powered personalization on consumer purchase decisions in the retail sector, with a specific focus on understanding behavioural responses among consumers in semi-urban regions of Tamil Nadu.
Keywords: AI-powered personalization, retail shopping, consumer behaviour, purchase decision
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 6 |
| Pages | 968–974 |
| Publication date | June 22, 2026 |
| DOI | 10.51244/IJRSI.2026.1306000068 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Rajalakshmi K, Dhivakar J, Elavarasan P, Rajesh A, & Rekshana Devi R (2026). AI-Powered Personalization in Retail Shopping and Its Influence on Consumer Purchase Decisions. International Journal of Research and Scientific Innovation (IJRSI), 13(6), 968-974. https://doi.org/10.51244/IJRSI.2026.1306000068
BibTeX
@article{Rajalakshmi2026,
title = {AI-Powered Personalization in Retail Shopping and Its Influence on Consumer Purchase Decisions},
author = {Rajalakshmi K and Dhivakar J and Elavarasan P and Rajesh A and Rekshana Devi R},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {6},
pages = {968--974},
year = {2026},
doi = {10.51244/IJRSI.2026.1306000068},
publisher = {RSIS International}
}