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@article{199753,
        author = {Samarth Bhinge and Vedant Dnyaneshwar Hande and Suyash Vijaykumar Devkate and Rishikesh Dnyandeo Astarkar and Prasad Ligade},
        title = {SMART-INV: Smart Inventory System with AI/ML and IoT Integration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14867-14878},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199753},
        abstract = {This paper presents SmartInv, a multi-tenant inventory management system integrating AI/ML and IoT technologies. Built on React Native, Node.js, and PostgreSQL, the system features real-time synchronization, role-based access control, and intelligent analytics. AI/ML capabilities include demand forecasting (88.8% accuracy), product recommendations (73% precision), and anomaly detection (94% TPR). IoT integration provides environmental monitoring (99.5% uptime) and RFID tracking (99.2% accuracy). The system handles 1000 concurrent users with 95% of requests under 500ms, achieved 99.7% uptime, and delivered $106,000 monthly savings with 23% stockout reduction.},
        keywords = {Inventory Management, Multi-tenant Architecture, React Native, AI/ML Integration, IoT Sensors, Real-time Analytics, Demand Forecasting, RFID Technology, Predictive Analytics, Mobile Computing},
        month = {April},
        }