Abstract:

The banking sector is now sensing the effects of technological advancements, economic volatility, increased competition, and more demanding customers. The success and expansion of a bank depend on a consistent base of loyal and satisfied customers. Banks in today's highly competitive market are always on the lookout for ways to improve their services in order to keep their existing customers and win over new customers. When it comes to keeping customers, banks no longer settle for merely meeting their expectations; instead, they are actively working to exceed those expectations through customer delight. Indians favor public sector banks over private ones for a number of reasons. The purpose of this research is to analyze the relationship between service quality and the customers' level of happiness and loyalty in public sector banks in Tamil Nadu. The 650 clients of Tamil Nadu's public sector banks were polled using a standard questionnaire. The predictive analysis is performed using a deep learning technology called Artificial Neural Network (ANN). Predicting bank customers' satisfaction required correlation, regression, and ANN analysis. This study uses empirical research. Artificial Neural Networks provide predictive analysis. ANN models validate and predict customer satisfaction. Statistical measures assess ANN model efficacy. 5 iterations predicted customer satisfaction with 86.87 percent accuracy. The survey concluded that select public sector banks in Tamil Nadu have a very good service, which helped them to increase their satisfaction level of the customer

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