AI-DRIVEN PERSONALIZATION IN E-COMMERCE SYSTEMS

Authors

  • Sana Farooq Department of Software Engineering, University of Lahore (UOL)
  • Bilal Siddiqui Department of Computer Science, COMSATS University Islamabad

Keywords:

AI Personalization, , E-Commerce Systems, Recommendation Algorithms, Customer Experience

Abstract

Artificial Intelligence (AI) has revolutionized the e-commerce industry by enabling personalized customer experiences that enhance user engagement, satisfaction, and conversion rates. AI-driven personalization leverages machine learning algorithms, big data analytics, and natural language processing to tailor product recommendations, marketing strategies, and customer support. This article explores the role of AI in e-commerce personalization systems, focusing on techniques such as collaborative filtering, content-based filtering, and hybrid recommendation models. We discuss the challenges faced by Pakistani e-commerce platforms in adopting AI personalization, including data privacy concerns, computational costs, and integration complexity. The paper concludes with future trends and strategic recommendations for optimizing AI-driven personalization in e-commerce environments in Pakistan.

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Published

2025-12-20

Issue

Vol. 2 No. 2 (2025): Journal of Innovative Research and Technology

Section

Articles

License

Copyright (c) 2025 Sana Farooq, Bilal Siddiqui

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