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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62884
Volume:
10 |
5 |
May 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of MSC Computer Science
Rajarshi Shahu Mahavidyalaya, Deolali Pravara
Department of MSC Computer Science
Rajarshi Shahu Mahavidyalaya, Deolali Pravara
Department of MSC Computer Science
Rajarshi Shahu Mahavidyalaya, Deolali Pravara
Abstract: This project aims to develop a Customer Relationship Management (CRM) website designed to improve the management of customer interactions, streamline communication, and enhance sales strategies for businesses. The system is built with role-based access control (RBAC) to ensure that users with different roles (administrators, sales representatives, and support staff) can access only the necessary features. Additionally, an AI-powered assistant is integrated to provide real-time support, streamline query handling, and assist users in navigating the system efficiently. The CRM website is tailored for small to medium businesses seeking an intuitive and scalable solution to manage their customer relationships more effectively.
KEYWORDS
The developed Customer Relationship Management Website (CRM) offers a comprehensive, scalable, and secure solution for managing customer interactions and enhancing sales and support processes. By integrating role-based access control, a centralized database, and an AI-powered chatbot, the system enhances productivity, data security, and user experience. The modular design allows for future feature expansions, such as the integration of advanced analytics, marketing automation, and social media monitoring. While the CRM system has proven effective in its current form, future work could involve integrating features like mobile app support, social media integration, and predictive analytics to further enhance its functionality and provide deeper insights into customer behaviors.
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Publication Date
5/8/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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