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International Journal of Business Intelligence Research (IJBIR)
Volume 2, Issue 1, January-June 2024, pp. 1-10, Article ID: IJBIR_02_01_001
Available online at https://iaeme.com/Home/issue/IJBIR?Volume=2&Issue=1
Journal ID: 5662-3033
© IAEME Publication
AI-ENABLED CUSTOMER RELATIONSHIP
MANAGEMENT IN THE FINANCIAL
INDUSTRY: A CASE STUDY APPROACH
Dr. N. Kannan
Professor, School of Management Studies,
Sathyabama Institute of Science and Technology,
Rajiv Gandhi Road, Chennai-600119.
ABSTRACT
AI-Enabled Customer Relationship Management (CRM) has emerged as a
transformative approach for financial institutions to enhance customer engagement,
improve service delivery, and drive business growth. This paper presents a case study
approach to explore the implementation and impact of AI-enabled CRM in the financial
industry. Through a comprehensive analysis of real-world examples, we examine how
AI technologies, such as machine learning, natural language processing, and predictive
analytics, are utilized to personalize customer interactions, anticipate customer needs,
and optimize marketing strategies. The case studies highlight the effectiveness of AI-
enabled CRM in improving customer satisfaction, increasing cross-selling
opportunities, and fostering long-term customer loyalty. Additionally, we discuss the
challenges and opportunities associated with implementing AI-driven CRM solutions,
along with best practices for maximizing their benefits in the financial sector. Overall,
this paper provides valuable insights into the role of AI in revolutionizing customer
relationship management practices in the financial industry.
Keywords: AI-Enabled Customer Relationship Management, Financial Industry, Case
Study Approach, Machine Learning, Natural Language Processing, Predictive
Analytics, Personalization, Customer Engagement, Service Delivery, Business Growth,
Customer Satisfaction, Cross-Selling Opportunities, Long-Term Customer Loyalty
Cite this Article: N. Kannan, AI-Enabled Customer Relationship Management in the
Financial Industry: A Case Study Approach. International Journal of Business
Intelligence Research (IJBIR), 2(1), 2024, 1-10.
Available online at https://iaeme.com/Home/issue/IJBIR?Volume=2&Issue=1