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@article{174893,
        author = {Arya Samir Chapadgaonkar and Rutuja Pradip Ahire and Sarvesh Vivek Joshi and Swati Sardeshmukh},
        title = {Mechanical CRM Trends-A Survey-Based Study CRM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1405-1410},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174893},
        abstract = {Customer Relationship Management (CRM) systems have evolved significantly to address the changing dynamics of business-customer interactions. This survey explores contemporary CRM architectures that integrate rental-based services (B2C), product purchasing (B2B), and sentiment analysis for customer feedback. Modern CRM systems leverage technologies such as React and Vite for frontend development, FastAPI for backend services, and MongoDB Atlas for data management. We examine how dual dashboard implementations for rental services and traditional sales enhance business operations. Key functionalities surveyed include rental product management, order scheduling, predictive maintenance, chatbot integration, product lifespan tracking, and sentiment-driven customer engagement. Additionally, we analyze advanced capabilities including dynamic pricing strategies, real-time analytics, IoT-based monitoring, and AI-powered feedback analysis that collectively enhance customer experience and inform business decision-making.},
        keywords = {Customer Relationship Management (CRM), CRM Systems, Rental Business Services, AI Chatbot, Product Lifecycle, Data Analytics, Customer Experience.},
        month = {April},
        }