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@article{177639,
        author = {Rohith Lashetty and Sai Pragna Kurnoothala and Thukaram Kethavath and Kavya Lonka and Anusha Rani Baini},
        title = {Amma's Bhojanam Smart Restaurant Manager Preorder System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1068-1072},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177639},
        abstract = {Conversational The emergence of technology-driven intelligent meal ordering systems has been spurred by the growing demand for efficient restaurant management. In a bid to enhance customer satisfaction and operational efficiency, this study explores web- based meal ordering systems integrating social media analysis, QR payment, and AI-powered demand forecasting. Restaurants can improve service quality, reduce wait times, and optimize stock through real-time data analysis. Additionally, having client response available on social media enables businesses to suitably adjust their service. With the efficient process of ordering food, the suggested system guarantees hassle-free transactions, better customer interaction and satisfaction, as well as saner decision- making by restaurant business owners.},
        keywords = {AI-driven restaurant management, QR code food ordering, Predictive analytics in restaurants, Social media sentiment analysis, Real-time inventory tracking, Automation in food ordering systems.},
        month = {May},
        }