EconPapers    
Economics at your fingertips  
 

AI-Driven Personalization in Financial Services: Enhancing Customer Experience and Operational Efficiency

Manoj Kumar Vandanapu
Additional contact information
Manoj Kumar Vandanapu: Andhra University, India.

Post-Print from HAL

Abstract: This article explores how emerging technologies are influencing personalization in the financial services sector. Personalized services enhance customer experience and promote financial inclusion. By leveraging big data and AI, financial institutions can collect and analyze customer data to offer tailored services. AI-driven analytics provide real-time insights for financial modeling, risk management, and automation. The integration of machine learning structures in financial services to meet individual customer needs, ensuring product customization. Emerging technologies promise greater accuracy and personalization, driving better financial outcomes within the industry. This technological advancement is crucial for the modern financial landscape, enhancing performance and customer satisfaction.

Date: 2024-11-08
References: Add references at CitEc
Citations:

Published in Journal of Economics, Management and Trade, 2024, 30 (11), pp.1-13. ⟨10.9734/jemt/2024/v30i111249⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05100727

DOI: 10.9734/jemt/2024/v30i111249

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-06-10
Handle: RePEc:hal:journl:hal-05100727