Revolutionizing Personalized Banking Through AI: An Empirical Study of Customer Satisfaction in SBI, Puducherry

In conclusion, this study has illuminated the profound impact of Artificial Intelligence (AI) on the enhancement of personalized banking services, with a focused investigation into the State Bank of India (SBI) in Pondicherry. The findings underscore the transformative potential of AI technologies, including machine learning, natural language processing, and data analytics, in reshaping the landscape of customer experiences within the banking sector. Through a comprehensive exploration of AI adoption at the SBI Pondicherry branch, this research has identified the key benefits, challenges, and implications associated with leveraging AI for tailoring services to individual customer needs. The insights gained from customer perceptions and satisfaction levels offer valuable guidance for financial institutions seeking to navigate the evolving dynamics of the digital banking era. As AI continues to evolve, this study provides a timely contribution to the ongoing discourse on optimizing personalized banking services, emphasizing the need for a strategic and customer-centric approach in harnessing the full potential of AI for the benefit of both financial institutions and their clientele.

1.    M. Thisarani and S. Fernando, "Artificial Intelligence for Futuristic Banking," 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Cardiff, United Kingdom, 2021, pp. 1-13, doi: 10.1109/ICE/ITMC52061.2021.9570253. 2.    Das, Subrata & Agarwal, Rajiv & Das, Gourab & Dhinakaran, D. & Vijai, C. (2021). Mobile Banking in India: A Customer Experience Perspective. Journal of Contemporary Issues in Business and Government. 27. 2021. 10.47750/cibg.2021.27.03.197. 3.    P. Tayal, N. Rastogi, T. K. Ahuja, S. Tyagi, K. Joshi and Y. M. Mohialden, "Impact of AI On the Banking Industry 4.0," 2022 7th International Conference on Computing, Communication and Security (ICCCS), Seoul, Korea, Republic of, 2022, pp. 1-4, DOI: 10.1109/ICCCS55188.2022.10079399. 4.    Mehndiratta, G. Arora and R. Bathla, "The use of Artificial Intelligence in the Banking Industry," 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), New Delhi, India, 2023, pp. 588-591, DOI: 10.1109/REEDCON57544.2023.10150681. 5.    SALEEM, S., & Mathew, S. M. (2022). Application Of Artificial Intelligence In Banking: A Study Based On SBI-Sia Virtual Assistant. 6.    Fares, O. H., Butt, I., & Lee, S. H. M. (2022). Utilization of artificial intelligence in the banking sector: a systematic literature review. Journal of Financial Services Marketing. 7.    Umamaheswari, S., & Valarmathi, A. (2023). Role of Artificial Intelligence in The Banking Sector. Journal of Survey in Fisheries Sciences, 10(4S), 2841-2849. 8.    Paramesha, M., Rane, N., & Rane, J. (2024). Artificial intelligence, machine learning, deep learning, and blockchain in financial and banking services: A comprehensive review. Machine Learning, Deep Learning, and Blockchain in Financial and Banking Services: A Comprehensive Review (June 6, 2024). 9.    Polireddi, N. S. A. (2024). An effective role of artificial intelligence and machine learning in banking sector. Measurement: Sensors, 33, 101135. 10. Bastan, M., Hasani, N., Salimi, B., Ghazizadeh, A., & Hamid, M. (2024). A systematic framework for meet the challenges of artificial intelligence banking. In Proceedings of the International Conference on Industrial Engineering and Operations Management, Augsburg, Germany.