AI-Powered Chatbots for Customer Support: A Study on the Efficiency of AI-Driven Chatbots

  • Unique Paper ID: 176817
  • PageNo: 6672-6675
  • Abstract:
  • Customer support is a fundamental pillar of modern businesses, playing a crucial role in customer retention, brand loyalty, and overall consumer satisfaction. As digital transformation is ongoing in transforming sectors, companies are progressively adopting chatbot technologies to improve client satisfaction service efficiency and optimize operational workflows. These automated systems serve as digital representatives, providing instant responses, reducing service delays, and improving accessibility across multiple communication channels such as online platforms, applications for mobile devices, and social networking sites platforms. Chabot’s can be defined into two main categories, namely: rule based and AI based models. Identify Rule-Based Chatbot: Rule-based Chabot works based on predefined scripts and structured workflows, helping them to be very effective in handling repetitive and But they are not flexible for complex requests beyond how they have been designed to function, which can frustrate customers with nuanced inquiries. In contrast, AI-based chatbots use machine learning, natural language processing (NLP), and other technologies to understand user intent, respond contextually, and learn from past interactions. These systems learn from continuously data through user activity making them capable of producing much more accurate responses that adapt over time. By employing their use of AI, chatbots gain the capability to determine customer sentiment, anticipate user needs, and even provide preemptive solutions, greatly enhancing engagement and creating a better customer experience.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{176817,
        author = {Manish Jadon and Roshan Chaudhary and Aakash Singh and Harsh Thakur},
        title = {AI-Powered Chatbots for Customer Support: A Study on the Efficiency of AI-Driven Chatbots},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6672-6675},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176817},
        abstract = {Customer support is a fundamental pillar of modern businesses, playing a crucial role in customer retention, brand loyalty, and overall consumer satisfaction. As digital transformation is ongoing in transforming sectors, companies are progressively adopting chatbot technologies to improve client satisfaction service efficiency and optimize operational workflows. These automated systems serve as digital representatives, providing instant responses, reducing service delays, and improving accessibility across multiple communication channels such as online platforms, applications for mobile devices, and social networking sites platforms.
Chabot’s can be defined into two main categories, namely: rule based and AI based models. Identify Rule-Based Chatbot: Rule-based Chabot works based on predefined scripts and structured workflows, helping them to be very effective in handling repetitive and But they are not flexible for complex requests beyond how they have been designed to function, which can frustrate customers with nuanced inquiries.
In contrast, AI-based chatbots use machine learning, natural language processing (NLP), and other technologies to understand user intent, respond contextually, and learn from past interactions. These systems learn from continuously data through user activity making them capable of producing much more accurate responses that adapt over time.
By employing their use of AI, chatbots gain the capability to determine customer sentiment, anticipate user needs, and even provide preemptive solutions, greatly enhancing engagement and creating a better customer experience.},
        keywords = {},
        month = {April},
        }

Cite This Article

Jadon, M., & Chaudhary, R., & Singh, A., & Thakur, H. (2025). AI-Powered Chatbots for Customer Support: A Study on the Efficiency of AI-Driven Chatbots. International Journal of Innovative Research in Technology (IJIRT), 11(11), 6672–6675.

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