• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2024

    6.713

    Impact Factor 2023

    6.464

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2024

    6.713

    Impact Factor 2023

    6.464

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2024

    6.713

    Impact Factor 2023

    6.464

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

Developing a Smart Integrated Chatbot Interface to Facilitate the Autonomous Customer Relationship Management (CRM) by Employing Natural Language Processing (NLP) Based Technology

Ishant Sangwan

Class XII student, Venkateshwar Global School

66 - 73 Vol. 11, Issue 1, Jan-Dec, 2025
Receiving Date: 2025-05-03;    Acceptance Date: 2025-05-30;    Publication Date: 2025-07-21
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http://doi.org/10.37648/ijiest.v11i01.008

Abstract

In the digital era, Customer Relationship Management (CRM) systems have become central to sustaining competitive advantage through enhanced customer satisfaction and operational efficiency. With the exponential rise in digital interactions, chatbot interfaces powered by Natural Language Processing (NLP) models have emerged as transformative tools in automating and personalizing customer service. This research explores the design, integration, and evaluation of chatbot user interfaces (UIs) tailored for CRM using advanced NLP techniques. The study begins with a comprehensive review of existing literature, highlighting the evolution of chatbots from rule-based systems to intelligent, context-aware virtual assistants. Key NLP components—such as intent recognition, entity extraction, sentiment analysis, and context management—are discussed in the context of enhancing user interaction and personalization.

    References

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