Intelligent food ordering management system

Tan, Yan Ling (2017) Intelligent food ordering management system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Intelligent food ordering management system is developed to manage the food ordering process and generates useful sales analysis report for decision making on food quantity preparation. Normally, the customers need to spend an average of one hour for a day going to the restaurant, ordering the meals and pay for it. Some advance restaurants have provided the customer to order a meal through a call. But, the customers do not always get what they want because the selected item is sold out or because the item is not provided by the restaurant. This project is aimed to develop an intelligent food ordering management system for food industry benefit to allow the restaurants manage the online food menu and orders by customer. Meanwhile, the customer can use the system by browsing the websites to place orders by just a few clicks quickly and easily. Besides that, the system has the special features with embedded artificial intelligent techniques. Based on the food sales data, the system will predict the food preparing quantity to recommend the restaurant the quantity they have to prepare for that particular food by using K-means clustering method to get a more accurate prediction quantity rather than using the average food sales quantity. So, the issue of food shortage because of less food quantity preparation and the issue of food waste on a restaurant due to the over food quantity preparation can be solved through this system. This intelligent system also will give some advices to admin based on results of the prediction. The methodology implemented in this system is waterfall model as it is suitable to ensure that the implemented technique fulfills the requirement of the system.

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