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AI-driven personalization in e-commerce: evaluating the transformative effects on consumer behavior

Year: 2025

Type: article

Abstract: This paper explores the transformative effects of AI-driven personalization on consumer behavior within the e-commerce landscape. It investigates how advanced AI algorithms enhance customer engagement by delivering tailored product recommendations, improving satisfaction, and fostering loyalty. The study also examines the challenges and ethical considerations surrounding data privacy and algorithmic transparency. By providing valuable insights into AI’s role in shaping consumer preferences, this research underscores the critical importance of personalization strategies for sustaining competitive advantage in today’s digital marketplace.

Source: Zenodo (CERN European Organization for Nuclear Research)

Authors: Iqbal, Farina, Afiat, Apurba, Shoily, Mahrin Mobassera, Turzo, Shovan Samanta, Arafat, Md. Saeelan

Institutions: BRAC University, Independent University, Bangladesh, Daffodil International University, University of Chittagong

Language: English

Topic: AI in Service Interactions

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7083674564

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