Role of AI in Personalizing Customer Experiences in E – Commerce

This study utilizes regression analysis and one-sample t-tests to investigate how AI-driven customization affects e-commerce consumer happiness. Online shopping has been revolutionized by AI-powered services like chatbots, predictive discounts, and tailored product suggestions. The results demonstrate that AI-driven personalization considerably raises consumer happiness, confirming the idea that greater degrees of AI customization result in happier customers. Further supporting the notable positive correlation between AI personalization and customer happiness is regression analysis, which shows how important AI-driven variables are in influencing customer experiences. The report emphasizes how crucial it is to improve AI-powered customer service, guarantee data privacy transparency, optimize AI algorithms for better suggestions, and use predictive discounting techniques. In order to improve customization strategies, future studies should examine demographic differences in AI adoption. E-commerce companies may increase consumer interaction, establish credibility with AI-driven customisation, and cultivate enduring client loyalty by putting these tactics into practice.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-26
DOI
https://doi.org/10.5281/zenodo.15141638
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of AI in Personalizing Customer Experiences in E – Commerce

Zenodo (CERN European Organization for Nuclear Research)
Yersinia bacterium, plague, ectoparasites research
article

Role of AI in Personalizing Customer Experiences in E – Commerce

article en

Abstract

This study utilizes regression analysis and one-sample t-tests to investigate how AI-driven customization affects e-commerce consumer happiness. Online shopping has been revolutionized by AI-powered services like chatbots, predictive discounts, and tailored product suggestions. The results demonstrate that AI-driven personalization considerably raises consumer happiness, confirming the idea that greater degrees of AI customization result in happier customers. Further supporting the notable positive correlation between AI personalization and customer happiness is regression analysis, which shows how important AI-driven variables are in influencing customer experiences. The report emphasizes how crucial it is to improve AI-powered customer service, guarantee data privacy transparency, optimize AI algorithms for better suggestions, and use predictive discounting techniques. In order to improve customization strategies, future studies should examine demographic differences in AI adoption. E-commerce companies may increase consumer interaction, establish credibility with AI-driven customisation, and cultivate enduring client loyalty by putting these tactics into practice.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
Yersinia bacterium, plague, ectoparasites research
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