Title: An empirical study for customer relationship management in banking sector using machine learning techniques

Authors: Guruprasad Dash; Bhagirathi Nayak

Addresses: Faculty of Management Studies (FMS), Sri Sri University, Cuttack, Odisha, India ' Faculty of Management Studies (FMS), Sri Sri University, Cuttack, Odisha, India

Abstract: Customer creation is necessary for a new bank and as well as retention is an existing bank that is more productive and cost-effective. Indian banks' CRM aims to develop and retain their customers and to view a whole organisational structure as a fully integrated attempt to seek, build, and meet the needs of customers. The deposit and innovation capacity is extremely low in rural areas, but immense in urban regions because the majority of the potential product scheme is well known. It was assumed that analysis and CRM in the banking sector were appropriate in these circumstances. The study is an analytical survey using Machine Learning (ML) techniques aimed at investigating the technological progress faced by commercial banks, and how far banks have gained to create a better performance of the financial sector of public and private sector banks.

Keywords: CRM; financial sector; machine learning.

DOI: 10.1504/IJCAT.2022.124953

International Journal of Computer Applications in Technology, 2022 Vol.68 No.3, pp.286 - 291

Received: 12 May 2021
Accepted: 19 Jun 2021
Published online: 18 Aug 2022 *

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