MRI
MRI India Journals Vol. 15 No. 2 (2026)

The Use of AI Chatbots in Enhancing Customer Service and Satisfaction

Authors

  • Aarchana Patil Department of MBA, MES'S IMCC, Pune
  • Omkar Mangale MES IMCC, Pune
  • Siddhika Shirname MES IMCC, Pune
  • Divya Mang MES IMCC, Pune
  • Vaishnavi Medhe MES IMCC, Pune
  • Girija Samleti MES IMCC, Pune

DOI:

https://doi.org/10.65521/ijrdmr.v15i2.3214

Keywords:

Artificial Intelligence AI Chatbots Customer Service Customer Satisfaction Natural Language Processing Machine Learning Customer Experience Automated Support

Abstract

AI chatbots have recently become an important part of modern customer service because they can offer quick, personalized and round-the-clock support with the help of artificial intelligence. Using technologies such as natural language processing and machine learning, these systems are able to understand customer queries and provide appropriate responses, which helps organizations save time, effort and cost.

Businesses from different sectors, including e-commerce, banking, healthcare and telecommunications, now use chatbots to provide fast replies, maintain consistent service quality and tailor interactions based on data  collected from users during previous conversations.

At the same time, chatbots still have limitations, especially when they face complex or emotionally sensitive issues that require human judgment and empathy. Because of this, many companies combine chatbots with human agents to maintain a high level of service.

Overall, AI chatbots have become a key element in current customer service innovations by improving efficiency and contributing to a better customer experience. With further development in artificial intelligence, these tools are expected to become even more accurate, user-friendly and effective in the future.

 

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Published

2026-05-29

How to Cite

Patil, A., Mangale, O., Shirname, S., Mang, D., Medhe, V., & Samleti, G. (2026). The Use of AI Chatbots in Enhancing Customer Service and Satisfaction. International Journal on Research and Development - A Management Review, 15(2), 44–49. https://doi.org/10.65521/ijrdmr.v15i2.3214

Issue

Section

Articles