Shaik, Irfan Abdul Karim, Mohanasundaram, T, KM, Rekha, Palande, Sachin Antion and Drave, Vinayak A. (2023) An Impact of Artifical Intelligence on customer relationship management (CRM) in retail banking sector. European Chemical Bulletin, 12 (5). pp. 470-478. ISSN 2063-5346
AN IMPACT OF ARTIFICIAL INTELLIGENCE ON CUSTOMER RELATIONSHIP MANAGEMENT (CRM) IN RETAIL BANKING SECTOR.pdf
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Abstract
Customer relationship management (CRM) is still evolving and has seen significant modifications. Important companies have focused on using automation and artificial intelligence (simulated intelligence) technologies to understand client purchase patterns, to improve brand and customer communication, and to strengthen connections. To truly answer consumer questions and increase customer loyalty, businesses are turning to AI-based CRM. Organizations use customer relationship management (CRM) as a set of tools, processes, and technologies to track, analyze, and collaborate on customer data throughout the customer lifecycle. It focuses on how the development of advanced banking has been impacted by buyer individual computerization and how this has further impacted buyer expectations and experiences. It looks at how banks utilize chat bots and other artificially intelligent virtual assistants to change how people use their financial offices. The analysis found that as technology has advanced, consumer expectations for banks have also increased. Even though banks change their client administration contributions through virtual pros, customers are not using these at a normal rate. Neobanks are not performing at their full potential, according to studies, because of information gaps among consumers brought on by banks' poor customer communication.
Item Type: | Article |
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Keywords: | Artificial Intelligence | Customer Relationship Management | Retail Banking Sector |
Subjects: | Social Sciences and humanities > Social Sciences > Social Sciences (General) |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Amees Mohammad |
Date Deposited: | 18 May 2023 09:41 |
Last Modified: | 18 May 2023 09:41 |
URI: | https://pure.jgu.edu.in/id/eprint/6012 |
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