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Browsing by Author "Kibet Mark Sabila"

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    Online Food Ordering System (Case Study: Nagongera Resturant)
    (Busitema University, 2024) Kibet Mark Sabila
    The inefficiencies associated with the manual ordering methods of food lead to the aim to develop an Online Food Ordering and delivery processes. The system offers a real-time updates to enhance customer satisfaction and operational efficiency. The system allows user access where customers can log in using their email and password, enabling them to browse menus, place orders and track the order statuses in real-time. The system facilitates the management of orders, including order placement, updates and delivery tracking. And it provides instant notifications on order status, ensuring customers and restaurant staff are informed throughout the process. Sampling, observation, interview methods were employed to gather insights and requirements from the potential users and stakeholders for the system design. Structured system analysis and design was utilized to ensure a systematic approach to system planning and analysis where Rapid Application Development (RAD) was adopted for iterative and efficient development of the system. The data models include the Context diagram which outlines the systems interactions with the external entities such as customers and the restaurant staff, data flow diagram which depicts how data is processed within the system and Entity relationship diagram which details the data entities involved and their relationships. The system streamlines the ordering process, reducing the time and errors associated with the manual methods. It minimizes the ordering mistakes and enhances overall order management. And it simplifies the process for customers and the restaurant staff, making food ordering and management more accessible and efficient. The Online Food Ordering System is designed to address the inefficiencies and accuracies of traditional food ordering methods. By integrating real-time updates and a user-friendly interface, the system significantly enhances the food ordering experience for customers and optimizes operations for the restaurant staff.
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