AI in E-Commerce: The Impact of Predictive Recommendation Engines on Customer Retention and Sales
DOI:
https://doi.org/10.31033/IJEMR/16.3.2026.1919Keywords:
Artificial Intelligence (AI), Customer Relation, Salesforce SecurityAbstract
Artificial intelligence (AI) in e-commerce—specifically predictive recommendation engines—has fundamentally transformed digital retail. By analyzing vast datasets, these systems anticipate consumer needs, delivering hyper-personalized shopping experiences. Consequently, businesses experience profound improvements in customer retention, prolonged session engagement, and significant spikes in conversion rates and overall sales.
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References
https://www.teradata.com/insights/ai-and-machine-learning/ai-recommendation-engines
https://www.ibm.com/think/topics/collaborative-filtering
https://redis.io/blog/what-is-content-based-filtering/
https://www.mdpi.com/2504-2289/10/2/46
https://ijsrmt.com/index.php/ijsrmt/article/view/561
https://www.envive.ai/post/ai-personalization-recommendations-conversion
https://ijcrt.org/papers/IJCRT2507474.pdf
https://www.mdpi.com/0718-1876/21/6/166
https://www.rinf.tech/ai-powered-personalization-in-digital-products/
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Copyright (c) 2026 Chitranjan Singh

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Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.