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@article{180810,
        author = {Nagesh S Havashetti and Gagan Mulkeri and Anirudh Kulkarni and Dr Amareshwari patil},
        title = {INVENTOVISION:ERM based Inventory Tracking system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {4760-4767},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180810},
        abstract = {Inventory management is a vital function in any organization that deals with physical goods, directly impacting operational efficiency and profitability. Traditional inventory systems often suffer from manual errors, delayed updates, stock mismatches, and lack of real-time visibility. To address these challenges, this project proposes InventoVision, an ERM-based inventory tracking system designed to automate, streamline, and enhance inventory operations.The system integrates Enterprise Resource Management (ERM) with modern technologies such as real-time dashboards, REST APIs, and cloud deployment. By enabling real-time tracking of stock movements across departments, it minimizes manual data entry and provides accurate, live updates. The project adopts agile development practices and uses tools like React for frontend, MySQL for backend storage, and Power BI/Grafana for data visualization.Key features include low-stock alerts, centralized dashboards, threshold-based monitoring, and integration with procurement and sales modules. The system has shown promising results such as 98% tracking accuracy, 85% reduction in manual errors, and 60% faster decision-making.},
        keywords = {Inventory Management, ERM Integration, Real-Time Tracking, QR Code Tagging, Dashboard Analytics,Supply Chain Automation, RESTAPIIntegration,MySQLDatabase,ReactFrontend,Power BI.},
        month = {June},
        }