AI-Driven Food Ordering and Inventory Management System
Keywords:
AI-based food recommendation, Canteen automation, Digital payments, Food ordering system, Smart canteen systemAbstract
The digital transformation in food service management has led to significant advancements in canteen automation, improving efficiency and customer experience. Traditional canteen management systems rely on manual order processing, cash-based transactions, and static menu selection, which result in long queues, order mismanagement, and food wastage. In response to these challenges, a Smart Canteen Management System (SCMS) is proposed in the paper that integrates Artificial Intelligence (AI), cloud computing, and secure digital transactions to revolutionize institutional and corporate canteen operations. The SCMS leverages advanced AI-driven recommendation engines for personalized meal suggestions based on user preferences and past orders while also incorporating predictive inventory optimization to ensure seamless food availability and minimize waste. Additionally, secure digital payments enhance the overall food ordering and management experience in institutional and corporate settings.
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