Objective:
The main purpose of the App is to provide food services at the restaurant with minimum contact. It also includes managing the customer service tables to ensure appropriate distance between two customers. The Food Service is digitalised with the menu options available through the App. The information of the customer is stored based on the customer preference. The customer feedbacks are analysed to improve the food service. The complete restaurant services can be administered centrally using the App.
Major features of the App:
- The Food service tables are digitalised.
- The Food menu options are controlled dynamically through the App.
- The data flow between the service tables and the kitchen service can be controlled through the App.
- The customer feedbacks and the sales are analysed using Lean Management Techniques.
- The critical customer information can be managed centrally with a client no with the consent of the customer.
- The pre-order options can be available based on the Restaurant needs.
Food Service Table:
The QR Bar code option can be used to uniquely identify the food service table. customer cannot enter any random no to book the Food Service Table.
Menu Options:
The menu options should always be dynamic displayed on the current day options. In case if a food item is not available during a day, then it should automatically be hidden from the display. The special menu for the day can be highlighted.
Kitchen Service:
The Kitchen Service is alerted centrally using a Display that is controlled by the main service pattern. The data flow between the customer and kitchen Service must be fast and transparent.
Customer Feedbacks:
The customer orders and feedbacks are analysed daily, weekly, monthly. Lean principles must highlight the food with high revenue. It should also indicate peak service time during each day. The app must help in solving the customer feedbacks, on the next subsequent corresponding customer visit. The respective customer and the restaurant manger must be aware of the resolved issue.
Pre-order Option:
           The App gives an option to book the food service table in advance.
Critical points for the development of the App:
- The customer data can be stored as a client no in the server centrally. The actual customer data must always be stored locally with restaurant manager. This ensure that the customer data is protected to the maximum.
- The App, storage cost is estimated against the return on investment.
- The data flow between the different point, must be checked with parameters such as data size.
- The Food Menu options must always be dynamically controlled with less inputs from the App user (Restaurant manager).
- Secure payment options can be an additional feature.
Market Analysis:
The App is specifically suited for the local German markets for the following reasons:
- Customer data being stored locally with the restaurant.
- Current pandemic situation enforces less contact in public places such as restaurants. German locals wish to enjoy the Restaurant atmosphere rather than placing the order from home.
- Simple to develop features such as QR barcode and local storage implementation
- One real time case is Vapiano restaurant which had to close due to the loss incurred during the pandemic.
| Parameters | Current proposal |
| Book orders | |
| Customer reviews | |
| Payment service | |
| Local table control option | |
| Local data storage |
| Tasks |
| User Interface, Database Architecture |
| Object model, Framework, Business logic |
| Testing |
| Implementation |
User Interface:
Restaurant Manager
Conclusion:
The App solves the current pandemic issue with less contact in the Restaurant. The Restaurant can be controlled centrally, and its sales can be monitored every hour. It is an affordable App to meet the local requirements of a restaurant and all the data are stored to only a confined network.