• Version
• Download 9
• File Size 292.34 KB
• File Count 1
• Create Date 5 January 2025
• Last Updated 5 January 2025

DIGITAL BANKOSPHERE

1st Mrs M Vasuki 1*,2nd A Anbhazhaghi2 and 3rd S Janani3,

1Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

2Post Graduate student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

anbhazhaghiarul@gmail.com

3Post Graduate student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

sankarjanani17@gmail.com

*Corresponding author’s email address: anbhazhaghiarul@gmail.com

 

 

Abstract: In India, the banking sector plays a pivotal role in driving economic growth and ensuring financial inclusion across diverse populations. With rapid advancements in technology and increasing customer expectations, personalized banking solutions have become essential to address varying financial needs. This paper presents a personalized banking recommendation system that leverages user data, including financial behaviour, income, age, location, and spending patterns, to provide tailored banking services. The system integrates financial analytics with customer relationship management to offer customized product recommendations such as loans, investment plans, and savings accounts. Advanced machine learning algorithms analyse user-specific data and real-time interactions to enhance service relevance and customer satisfaction. The study highlights the importance of aligning personalized banking strategies with regulatory frameworks, data privacy, and regional financial literacy levels. A comparative analysis of customer engagement and retention demonstrates the system’s effectiveness in fostering trust and long-term relationships. This paper underscores the potential of technology driven, personalized banking solutions to improve financial inclusion, customer satisfaction, and operational efficiency while addressing the unique challenges of the Indian banking ecosystem.

Key Word: Personalized Banking, Financial Inclusion, Customer Relationship Management, Banking Analytics, Recommendation Algorithms, User-Centric Services

Download