Revolutionizing Customer Service: An AI-powered Chatbot Approach using Advanced NLP Techniques

The rapid development of artificial intelligence and natural language processing has completely changed the customer service industry. The design and implementation of the AI-driven chatbot proficient in leading-edge NLP in providing sophisticated customer service is discussed. Therefore, this paper presents a fully detailed framework that links state-of-the-art NLP models based on transformer-based architectures for understanding and generating human-like responses in real time. Its chatbot system is designed to handle the widest range of customer inquiries, understanding them well and giving accurate, contextually relevant responses, while continuously learning and improving based on experiences. Our approach is rooted in far-reaching and deep sentiment analysis, intent recognition, and dialogue management to provide a seamless and personalized customer experience. The effectiveness of the proposed system is experimentally presented through the empirical study with feedback from users showing an increase in response accuracy, improvement in customer satisfaction, and improvement in operational efficacy. This research paper highlights the potential that AI and NLP could hold in revolutionizing customer service and unveils new development and application insights into the future.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/delcon64804.2024.10866078
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
1.39
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Revolutionizing Customer Service: An AI-powered Chatbot Approach using Advanced NLP Techniques

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Revolutionizing Customer Service: An AI-powered Chatbot Approach using Advanced NLP Techniques

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Abstract

The rapid development of artificial intelligence and natural language processing has completely changed the customer service industry. The design and implementation of the AI-driven chatbot proficient in leading-edge NLP in providing sophisticated customer service is discussed. Therefore, this paper presents a fully detailed framework that links state-of-the-art NLP models based on transformer-based architectures for understanding and generating human-like responses in real time. Its chatbot system is designed to handle the widest range of customer inquiries, understanding them well and giving accurate, contextually relevant responses, while continuously learning and improving based on experiences. Our approach is rooted in far-reaching and deep sentiment analysis, intent recognition, and dialogue management to provide a seamless and personalized customer experience. The effectiveness of the proposed system is experimentally presented through the empirical study with feedback from users showing an increase in response accuracy, improvement in customer satisfaction, and improvement in operational efficacy. This research paper highlights the potential that AI and NLP could hold in revolutionizing customer service and unveils new development and application insights into the future.

Chandigarh University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
AI in Service Interactions
1.39
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