
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
2025
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A Study on Leveraging AI-POWERED Chatbots for Enhanced Customer Experience Analytics
Author(s) | Adventson Samuel, Dr.M.Nasrin sulthana |
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Country | India |
Abstract | ABSTRACT Among rising business concerns today-the enhancement of customers' experience is one that drives the integration and development of smarter tools. At the center stage here are AI-enabled chatbots-an intelligent system employing machine learning combined with natural language processing. One of its vital effects is to automate response in real time while gathering helpful data regarding those interactions. End. The effectiveness of chatbots in providing deeper insights about customer behaviour, satisfaction, and sentiment is assessed through the study by examining how they capture and process data from customer conversations. The paper also mentions several advantages and challenges in the incorporation of AI-driven analytics into current customer service strategies. This study demonstrates, through case studies and industry examples, how businesses can use data generated by chatbots to make informed decisions, improve service delivery, and personalize customer interactions. The findings contribute to a deeper understanding of how AI-powered chatbots are reshaping customer experience analytics and offer actionable insights for businesses seeking to optimize their customer engagement strategies. |
Keywords | KEYWORDS: AI-Powered Chatbots, Customer Experience Analytics, Personalized Customer Engagement, Data-Driven Decision Making. |
Field | Business Administration |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-04-28 |
Cite This | A Study on Leveraging AI-POWERED Chatbots for Enhanced Customer Experience Analytics - Adventson Samuel, Dr.M.Nasrin sulthana - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4266 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.4266 |
Short DOI | https://doi.org/g9gx65 |
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