AI-Driven Chatbots in Customer Service: An Effective Evaluation

Artificial Intelligence (AI)-driven chatbots are revolutionizing the way organizations approach customer service by providing round-the-clock, automated, and intelligent assistance to users across platforms. These chatbots, powered by technologies such as machine learning and natural language processing (NLP), enable businesses to engage with customers efficiently, offering personalized, consistent, and scalable support. This paper aims to evaluate the effectiveness of AI chatbots in enhancing customer service quality through a detailed exploration of their capabilities, applications, and associated challenges. By conducting an extensive literature review and analyzing real-world case studies, this study identifies the major benefits such as improved response times, cost efficiency, and enhanced user experience. Simultaneously, it also highlights the critical concerns regarding algorithmic limitations, data security, and customer trust. The findings of this paper are aimed at guiding organizations in making informed decisions when implementing AI chatbots and suggest practical recommendations for their optimal utilization in delivering superior customer service.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-29
DOI
https://doi.org/10.22214/ijraset.2025.72841
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Chatbots in Customer Service: An Effective Evaluation

Mr. Johnson Lathe, Mr. Gaurav
1 links
International Journal for Research in Applied Science and Engineering Technology
AI in Service Interactions
article

AI-Driven Chatbots in Customer Service: An Effective Evaluation

Mr. Johnson Lathe, Mr. Gaurav
article en

Abstract

Artificial Intelligence (AI)-driven chatbots are revolutionizing the way organizations approach customer service by providing round-the-clock, automated, and intelligent assistance to users across platforms. These chatbots, powered by technologies such as machine learning and natural language processing (NLP), enable businesses to engage with customers efficiently, offering personalized, consistent, and scalable support. This paper aims to evaluate the effectiveness of AI chatbots in enhancing customer service quality through a detailed exploration of their capabilities, applications, and associated challenges. By conducting an extensive literature review and analyzing real-world case studies, this study identifies the major benefits such as improved response times, cost efficiency, and enhanced user experience. Simultaneously, it also highlights the critical concerns regarding algorithmic limitations, data security, and customer trust. The findings of this paper are aimed at guiding organizations in making informed decisions when implementing AI chatbots and suggest practical recommendations for their optimal utilization in delivering superior customer service.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Openalex Percentile: Top 93%
AI in Service Interactions
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