<b>Optimizing Customer Insights: AI-Driven Analytics for E-commerce Feedback and Reviews</b>

Artificial Intelligence (AI) is transforming the way businesses understand customer feedback and reviews in the e-commerce industry. With the growing reliance on digital platforms, businesses face the challenge of analyzing vast amounts of customer data efficiently. AI-powered analytics help businesses extract meaningful insights, improve customer experiences, and refine decision-making processes. This paper explores how AI enhances customer data analysis through sentiment analysis, predictive modeling, personalized engagement, and automation. It also examines the benefits, challenges, and future potential of AI in optimizing customer feedback for e-commerce growth. Additionally, this paper integrates a review of recent empirical studies, industry applications, and AI methodologies to provide a more in-depth perspective on AI’s evolving role in the e-commerce sector.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28365803.v1
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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Optimizing Customer Insights: AI-Driven Analytics for E-commerce Feedback and Reviews

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Customer churn and segmentation
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Optimizing Customer Insights: AI-Driven Analytics for E-commerce Feedback and Reviews

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Abstract

Artificial Intelligence (AI) is transforming the way businesses understand customer feedback and reviews in the e-commerce industry. With the growing reliance on digital platforms, businesses face the challenge of analyzing vast amounts of customer data efficiently. AI-powered analytics help businesses extract meaningful insights, improve customer experiences, and refine decision-making processes. This paper explores how AI enhances customer data analysis through sentiment analysis, predictive modeling, personalized engagement, and automation. It also examines the benefits, challenges, and future potential of AI in optimizing customer feedback for e-commerce growth. Additionally, this paper integrates a review of recent empirical studies, industry applications, and AI methodologies to provide a more in-depth perspective on AI’s evolving role in the e-commerce sector.

Figshare
Openalex Percentile: Top 42%
Customer churn and segmentation
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<b>Optimizing Customer Insights: AI-Driven Analytics for E-commerce Feedback and Reviews</b> · Figshare (2025) | TGRS Research Map | TGRS