Paper Contents
Abstract
The advent of AI-powered chatbots in the financial services industry has opened up a new era of customer interaction. This study examined how customers perceive AI-driven dialogue in the financial sector. Evaluating frequency of use, user experience, problems encountered by users and suggested improvements is the focus of this research. However, as banks and other financial institutions deploy AI-driven conversations to enhance customer engagements, understanding frequency of use has become critical. Analyses made from this study are based on your shopping patterns and issues identified from these patterns. Indeed, our interactions with such chatbots underscore how human-bot interactions can change financial services. Customer satisfaction and retention are influenced by user experience which is a core component in AI-based dialogues. This research looks at the user experience aspects including navigation, responsiveness and general efficiency of the AI empowered finance conversations. However, there still remain impediments to integrating AI-enabled conversations into financial services despite these advantages. Users face transparency related matters as well as privacy concerns and technical difficulties. This study identifies and analyses these problems, providing insights into the obstacles that customers face while interacting with AI-powered financial chatbots. In response to these challenges, the paper presents innovative approaches to improve the performance and customer happiness of AI-enabled chatbots in financial services. This study provides important findings for financial institutions looking to optimize their AI chatbot deployments for improved customer interactions and satisfaction by thoroughly assessing usage frequency, user experience, and challenges encountered.
Copyright
Copyright © 2024 Vinoth S. This is an open access article distributed under the Creative Commons Attribution License.
