AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review

Artificial Intelligence (AI) has emerged as a transformative technology in customer service by enabling businesses to deliver personalized, efficient, and round-the-clock support. AI-powered tools such as chatbots, virtual assistants, recommendation systems, and predictive analytics have significantly enhanced customer interactions while reducing operational costs. However, despite these advantages, concerns regarding privacy, trust, emotional intelligence, and service quality continue to influence customer satisfaction. This conceptual review examines existing literature on AI-driven customer service and its impact on customer satisfaction. Drawing upon secondary data from journals, books, and industry reports, the paper explores the relationship between AI-enabled service quality, personalization, response speed, perceived usefulness, and customer satisfaction. The review concludes that while AI substantially improves service efficiency and customer experience, organizations should integrate human support with AI technologies to maximize customer satisfaction and long-term loyalty.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-06-29
DOI
https://doi.org/10.64388/irev9i12-1719392
Primary Topic
AI in Service Interactions
Type
article
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article

AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review

Ankur
Iconic Research and Engineering Journals
AI in Service Interactions
article

AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review

Ankur
article en

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in customer service by enabling businesses to deliver personalized, efficient, and round-the-clock support. AI-powered tools such as chatbots, virtual assistants, recommendation systems, and predictive analytics have significantly enhanced customer interactions while reducing operational costs. However, despite these advantages, concerns regarding privacy, trust, emotional intelligence, and service quality continue to influence customer satisfaction. This conceptual review examines existing literature on AI-driven customer service and its impact on customer satisfaction. Drawing upon secondary data from journals, books, and industry reports, the paper explores the relationship between AI-enabled service quality, personalization, response speed, perceived usefulness, and customer satisfaction. The review concludes that while AI substantially improves service efficiency and customer experience, organizations should integrate human support with AI technologies to maximize customer satisfaction and long-term loyalty.

Iconic Research and Engineering JournalsVol. 9(12)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
AI in Service Interactions
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AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review — Ankur · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS