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@article{175885,
        author = {Naba Sarwar and Srushti Kamble and Vishruti Gurav and Dr Dinesh Patil},
        title = {Revolutionizing CRM with AI: Clause Detection and Client Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4700-4708},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175885},
        abstract = {Our paper presents the implementation of an AI- powered Customer Relationship Management (CRM) system that integrates a clause detection module to enhance contract management by summarizing Memorandums of Understanding (MOUs) and extracting key information using machine learning and natural language processing (NLP) techniques, particularly the Bidirectional Encoder Representations from Transformers (BERT) model. By automating contract reviews, the system significantly reduces human effort and legal risks through accurate extraction of essential clauses in complex legal language. Beyond contract management, the CRM streamlines customer relation- ship workflows by automating lead tracking, sales forecasting, customer segmentation, chatbot support, and follow-up scheduling. It reduces administrative burdens, enhances productivity, and ensures data security through encrypted storage. The results show that the AI-driven CRM boosts contract management efficiency, customer satisfaction, and business performance by minimizing manual errors and enabling data-driven decisions through predictive analytics. This paper discusses the system’s technical architecture, AI integration, benefits, and challenges of deploying it in a business environment.},
        keywords = {Customer Relationship Management, Clause Detection, Memorandums of Understanding, Machine Learning, Natural Language Processing, Predictive Analytics, Contract Management.},
        month = {April},
        }