An AI-Based Customer Relationship Management Framework for Business Applications

Authors

  • Rashi Assistant Professor, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, India
  • Biplab Kumar Biswal Professor, KIIT School of Social Financial and Human Sciences, KIIT University, Bhubaneswar, India
  • Y. Srinivasa Rao Assistant Professor, Department of Management Studies, VFSTR Deemed to be University, Guntur, Andhra Pradesh, India
  • Navin Kamuni IT Consultant - Tech Mahindra, M.Tech.(AI-ML), BITS PILANI WILP, New Delhi, India
  • Ramchandra D. Patil Assistant Professor, Department of Management Studies (Off Campus), Bharati Vidyapeeth (Deemed to be University), Navi Mumbai, Maharashtra, India

Keywords:

Artificial Intelligence, Customer Relationship Management, business applications, recommender systems, machine learning

Abstract

In the dynamic landscape of business applications, Customer Relationship Management (CRM) plays a crucial role in developing and sustaining connections with customers. This paper introduces a new framework that uses AI technology to revolutionise customer relationship management (CRM) systems, giving organisations a competitive edge. Customers now have more product and service information at their fingertips than ever before. Retailers have a problem in catering to client preferences for the correct goods and services due to the vast variation that results in consumer demand. In order to better understand client preferences, recommender systems might benefit from product evaluations, opinions, and shared experiences. In order to provide product recommendations, it is necessary to analyse a number of key factors, such as the number of items bought and seen, the list of people who have bought the products, and the total number of products. This proposes a hybrid recommendation strategy that integrates data analytics, collaborative filtering, and machine learning. In order to get an advantage over competitors, customer relationship management systems utilise machine learning models to analyse client personal and behavioural data in order to increase customer retention.

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Published

12.01.2024

How to Cite

Rashi, R., Biswal, B. K. ., Rao, Y. S. ., Kamuni, N. ., & Patil, R. D. . (2024). An AI-Based Customer Relationship Management Framework for Business Applications. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 686 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4552

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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