https://github.com/yoc00lig/restaurant-management-system

The Restaurant Management System is a relational database project. The system provides comprehensive support for a catering company, facilitating both take-away and on-site ordering services. 🍽️
https://github.com/yoc00lig/restaurant-management-system

database databases-course management-system

Last synced: 3 months ago
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The Restaurant Management System is a relational database project. The system provides comprehensive support for a catering company, facilitating both take-away and on-site ordering services. 🍽️

• Host: GitHub
• URL: https://github.com/yoc00lig/restaurant-management-system
• Owner: YoC00lig
• Created: 2022-03-20T22:02:33.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2022-12-04T00:33:24.000Z (over 2 years ago)
• Last Synced: 2025-03-18T05:19:13.192Z (3 months ago)
• Topics: database, databases-course, management-system
• Language: TSQL
• Homepage:
• Size: 1.01 MB
• Stars: 2
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 Restaurant management system.  🍽 🍲 

 Simple database supporting a catering company.

 The project was carried out as part of the "Basics of databases" course at AGH UST in a 3-person team. 

 A detailed description can be found  here (in Polish).


General informations:

 🔸 Take-away and on-site ordering service. 

 🔸 Table reservation for at least two people. 

 🔸 Offer for individual customers and companies. 

 🔸 Generating invoices (for a single order or for the whole month). 


 Menu:

 🍔 At least half of the dishes in the menu is changed at least once every two weeks. 

 🍔 On selected days you can order seafood. 

 🍔 Menu is set the day before. 


Reservation:

 📋 Possible with the minimum value (WZ) of the order and WK previous orders.

 📋 Must be approved by the employee.

 📋 For companies: per company or for specific company employee (by name).


Discounts:

 ⬇️ One-time or long-perm discount.

 ⬇️ Available under certain conditions (for instance number of orders).


Reports:

 📊 Monthly and weekly reports.

 📊 Reports are available for both companies and individual customers.

 📊 Related to discount, number of orders, statistics etc.





 📌 Database diagram: