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@article{182781,
        author = {Tushar Paikara and Dr. Sonu Agrawal},
        title = {Intelligent Online Food Order Inventory Management System Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3131-3134},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182781},
        abstract = {The increasing demand for online food delivery services has necessitated efficient inventory management solutions for restaurants and cloud kitchens. This research proposes a smart Online Food Order Inventory Management System that integrates real-time order tracking with intelligent stock monitoring using machine learning algorithms. The system is designed to forecast food demand, optimize inventory levels, and reduce food waste by automating the inventory control process. The proposed model employs data analytics and prediction techniques to enhance decision-making and streamline restaurant operations.},
        keywords = {Online food ordering, Inventory management, Machine learning, Demand forecasting, Waste reduction},
        month = {July},
        }