AI-Powered Personalization in E-Commerce: Transforming Consumer Experience Through Data Insights

The e-commerce industry has rapidly evolved in recent years, with personalization becoming a central aspect ofenhancing customer satisfaction and driving sales. With the vast amount of consumer data available, artificial intelligence (AI)plays a pivotal role in creating personalized shopping experiences. By analyzing customer behavior, preferences, and pastinteractions, AI enables e-commerce platforms to deliver tailored product recommendations, dynamic pricing, and targetedmarketing strategies. This paper explores the application of AI in e-commerce personalization, highlighting key technologiessuch as machine learning, natural language processing (NLP), and recommendation systems. It examines how AI-drivenpersonalization benefits both consumers and businesses, leading to increased customer engagement, loyalty, and ultimately,revenue growth. Additionally, the paper discusses the challenges and ethical considerations associated with data privacy and thefuture potential of AI in revolutionizing the online shopping experience.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15311705
Primary Topic
Socioeconomic and Demographic Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Personalization in E-Commerce: Transforming Consumer Experience Through Data Insights

Zenodo (CERN European Organization for Nuclear Research)
Socioeconomic and Demographic Analysis
article

AI-Powered Personalization in E-Commerce: Transforming Consumer Experience Through Data Insights

article en

Abstract

The e-commerce industry has rapidly evolved in recent years, with personalization becoming a central aspect ofenhancing customer satisfaction and driving sales. With the vast amount of consumer data available, artificial intelligence (AI)plays a pivotal role in creating personalized shopping experiences. By analyzing customer behavior, preferences, and pastinteractions, AI enables e-commerce platforms to deliver tailored product recommendations, dynamic pricing, and targetedmarketing strategies. This paper explores the application of AI in e-commerce personalization, highlighting key technologiessuch as machine learning, natural language processing (NLP), and recommendation systems. It examines how AI-drivenpersonalization benefits both consumers and businesses, leading to increased customer engagement, loyalty, and ultimately,revenue growth. Additionally, the paper discusses the challenges and ethical considerations associated with data privacy and thefuture potential of AI in revolutionizing the online shopping experience.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Socioeconomic and Demographic Analysis
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AI-Powered Personalization in E-Commerce: Transforming Consumer Experience Through Data Insights · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS