Reservetable is a comprehensive restaurant reservation system designed to simplify the process of managing reservation requests for restaurant owners. The system offers a user-friendly dashboard that allows restaurant owners to efficiently handle reservation requests and streamline their table booking process. Additionally, the application features the capability for restaurant owners to generate custom reservation forms, similar to Google Forms, facilitating the collection of table booking reservations. The system's pricing structure is tailored to different feature sets, providing flexibility to restaurant owners. A super admin dashboard offers a centralized hub for Reservetable stakeholders to monitor subscriptions, orders, support interactions, and overall analytics.

Challenges:

During the development of Reservetable, several challenges arose that required effective solutions:

• Complex Reservation Workflow: Designing a reservation workflow that accommodates varying restaurant setups and customer preferences while ensuring ease of use for restaurant owners.
• Custom Form Generation: Developing a feature for restaurant owners to create customized reservation forms with ease, enabling them to gather specific booking information.
• Scalable Pricing Model: Devising a pricing model that is both flexible and scalable, allowing restaurants of different sizes to access the appropriate feature set.
• Real-time Analytics: Implementing a comprehensive analytics system to provide actionable insights for both restaurant owners and the super admin.

Tools, Technologies, and Techniques Used:

To address the challenges and create an efficient solution, a combination of tools, technologies, and techniques were employed:

• NestJS Framework: The backend of the application was built using the NestJS framework, which provides a robust and modular structure for creating GraphQL APIs.
• MongoDB: MongoDB was chosen as the database management system due to its flexibility and scalability, accommodating the dynamic nature of restaurant reservations.
• Redis: Redis was used for caching data, enhancing the system's performance and responsiveness, particularly in scenarios requiring quick data retrieval.
• Next.js: The frontend of the application was developed using Next.js, a React framework that enables server-side rendering and efficient client-side routing.

By leveraging these technologies, the Reservetable system was able to provide an intuitive and efficient platform for restaurant owners to manage reservations effectively. The NestJS framework facilitated the creation of a robust GraphQL API, while MongoDB and Redis ensured seamless data management and caching. The use of Next.js resulted in a responsive and performant frontend, enhancing the user experience for both restaurant owners and their customers.