Digital Ordering System and Customer Flow Prediction for Restaurants Using Data Mining

Technology has almost started its journey in each and every field of our life, but still in some important areas such as food industry or food serving industries such as hotel, motels and restaurant. Even in the age of technology, the traditional pen paper method is followed by many restaurants for receiving the orders, which in turn wastes a huge amount of time of both, the restaurant and the customer. Various earlier efforts were done to bring the technology in the field of food serving industries. PDA KIOSK and Computer based techniques tried to improve the service with use of technology but faced some issues like wastage of customer time and efficiency of service. Each technique had its own advantages and a set of disadvantages. The proposed system tries to analyze the various existing systems and determine the drawbacks of each to overcome them in the proposed system. This system improves efficiency and accuracy for restaurants by saving time, eliminating human errors, getting customers feedback. As the system is automated, it becomes economical even from restaurants point of view, as it reduces manpower and it just requires one-time investment in installing the devices at tables along with this the prediction and data mining used in in the proposed system is useful for the management level for managing the resources.