The Role of Artificial Intelligence in Revolutionizing Personalization and Customer Engagement

Authors

  • Monika Jain School of Computing Science and Engineering, Galgotias University, Greater Noida, India Author
  • Mona Yadav Department of Information Technology, SRMSCET, Bareilly, India Author

Keywords:

Customer Engagement, Sentiment Analysis, Personalisation, Recommender Systems, Machine Learning, Natural Language Processing, Product Reviews, Customer Satisfaction.

Abstract

Artificial Intelligence (AI) is changing the world of online shopping by creating tailored experiences for customers and improving customer interactions. In this paper, the study shows how AI methods like Natural Language Processing (NLP) and machine learning are helping to study customers’ feedback and scores to create customized recommendation systems. The fusion of sentiment analysis and collaborative filtering-based recommender systems results in higher customer satisfaction rates and better customer experiences, and helps businesses build customer loyalty by employing personalised touchpoints. It enhances organisations' operational activities and remains competitive for a long time. A dataset of 363K product reviews is used to conduct sentiment analysis and build a recommendation system. The research shows connections between how customers feel about a product, their ratings, and their buying habits, offering ideas for using AI to enhance personalised strategies for businesses.

Downloads

Published

13-03-2026

Conference Proceedings Volume

Section

Articles

How to Cite

Jain , M. ., & Yadav , M. . (2026). The Role of Artificial Intelligence in Revolutionizing Personalization and Customer Engagement. DMPedia Lecture Notes in Computer Science & Engineering, IMPACT26, 264-273. https://digitalmanuscriptpedia.com/conferences/index.php/DMP-LNCSE/article/view/134