JOURNAL ARTICLE

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

Researchscholar

Year: 2025 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
Personalization Key (lock) Customer experience Product (mathematics) Customer intelligence Customer satisfaction Big data

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Topics

Socioeconomic and Demographic Analysis
Physical Sciences →  Environmental Science →  Management, Monitoring, Policy and Law
Regional resilience and development
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Regional Economic Development and Innovation
Social Sciences →  Business, Management and Accounting →  Strategy and Management

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