STM Journals Peer-reviewed research from Consortium e-Learning Network

E-Commerce for Future & Trends Review Article

Flavor Flow: Web Implementation of Food Ordering System

  1. Hashim Meer Hashmi Department of Computer Science & Engineering, School of Engineering Sciences & Technology (SEST), Jamia Hamdard
  2. Imran Hussain Department of Computer Science & Engineering, School of Engineering Sciences & Technology (SEST), Jamia Hamdard
  3. Aqueel Khaliquee Department of Computer Science & Engineering, School of Engineering Sciences & Technology (SEST), Jamia Hamdard

Abstract

Our proposed framework is a web food request framework that enables customers to use it easily. It subdues the disadvantages of the queuing system. The proposed framework could serve as a platform for convenient online food ordering from restaurants. This system enhances the process of receiving orders from customers. The online food ordering system presents a menu online, allowing customers to place orders according to their preferences easily. Additionally, customers can track their orders efficiently with the menu. This system also includes a feature for users to rate the food items. Key- features include real-time order tracking, personalized recommendations based on user preferences and history, and robust back-end tools for eateries to monitor orders, manage inventory, and analyze sales data. Our proposed food ordering system demonstrates notable improvements in operational efficiency, customer contentment, and service quality in the food industry. Furthermore, the suggested framework can be used to suggest food items based on user ratings. Payments can be completed either online or upon delivery. For more secure requests, partitioned accounts are kept up with each client by giving them an ID and a password. This is to ensure security and avert any false act for both parties.

Keywords

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