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

• Author(s): Ankur
• Paper ID: 1719392
• Page: 3024-3030
• Published Date: 29-06-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 12 June-2026
• DOI: https://doi.org/10.64388/IREV9I12-1719392

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.

Keywords

Artificial Intelligence, Customer Service, Customer Satisfaction, Chatbots, Service Quality, Customer Experience, Digital Transformation.

Citations

IRE Journals:
Ankur "AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 3024-3030 https://doi.org/10.64388/IREV9I12-1719392

IEEE:
Ankur "AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026, doi: https://doi.org/10.64388/IREV9I12-1719392

APA:
Ankur (2026). AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review. Iconic Research And Engineering Journals, 9(12). doi: https://doi.org/10.64388/IREV9I12-1719392

MLA:
Ankur "AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026. Crossref, https://doi.org/10.64388/IREV9I12-1719392

BibTeX

@article{1719392,
author = {Ankur},
title = {AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {12},
pages = {3024-3030},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1719392.pdf},
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.},
keywords = {Artificial Intelligence, Customer Service, Customer Satisfaction, Chatbots, Service Quality, Customer Experience, Digital Transformation.},
month = {June}
}