Intelligent Online Food Order Inventory Management System Using Machine Learning

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Tushar Paikara; Dr. Sonu Agrawal

Intelligent Online Food Order Inventory Management System Using Machine Learning

Authors: Tushar Paikara, Dr. Sonu Agrawal

Unique Paper ID: 182781
Volume: 12
Issue: 2
PageNo: 3131-3134

Keywords: Online food ordering Inventory management Machine learning Demand forecasting Waste reduction

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.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 3131-3134

Intelligent Online Food Order Inventory Management System Using Machine Learning

Available:https://ijirt.org/article?manuscript=182781

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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