Food Truck Web App: Node.js & AngularJS
Overview
The Mac Mart Food Truck company wanted to create a web app to allow customers to view the locations and menus of their food trucks, as well as place orders online. They decided to use AngularJS for the frontend and NodeJS for the backend of the app.
Requirements
Our client wanted following features in the app:
- Customers should be able to view the locations and
menus of the food trucks. - Customers should be able to place orders through the
app. - Customers should be able to pay for their orders through
the app. - The app should be able to handle high volumes of traffic
and multiple orders simultaneously.
Solution
The development team decided to use AngularJS for the frontend of the app because of its ability to handle complex user interfaces and its support for real-time data binding. They also decided to use NodeJS for the backend because of its ability to handle high volumes of traffic and its support for websockets, which would be used for real-time communication between the frontend and backend.
For the locations and menus feature, the team implemented a map component using the Google Maps API and a menu component that displayed the available items for each truck. They connected these components to the backend using an API that pulled in the relevant data.
The order placement and payment features were implemented using Stripe for secure online payments. The team used websockets to enable real-time communication between the frontend and backend, allowing the app to process multiple orders simultaneously.
To ensure the app could handle high volumes of traffic, the team implemented caching and load balancing on the backend.
Results
The food truck app was successfully launched and received positive feedback from customers. They appreciated being able to view the locations and menus of the food trucks and place orders easily through the app. The real-time communication enabled by the use of websockets allowed the app to handle high volumes of traffic and multiple orders simultaneously, ensuring a smooth user experience. Overall, the use of AngularJS and NodeJS for the development of the app proved to be a successful choice.
In the case study on the food truck app, the development team implemented the following technical solution:
Frontend: AngularJS was used for the frontend of the app because of its ability to handle complex user interfaces and its support for real-time data binding. A map component was implemented using the Google Maps API to display the locations of the food trucks, and a menu component was implemented to display the available items for each truck.
Backend: NodeJS was used for the backend of the app because of its ability to handle high volumes of traffic and its support for websockets. An API was implemented to connect the frontend components to the backend and provide access to the locations and menus data. The order placement and payment features were implemented using Stripe for secure online payments, and websockets were used for real-time communication between the frontend and backend. Caching and load balancing were implemented on the backend to ensure the app could handle high volumes of traffic.
BUSINESS VALUE
Increased customer convenience: By allowing customers to view the locations and menus of the food trucks and place orders online, the app could have increased customer convenience and made it easier for them to access the company's products.
Increased sales: By providing a convenient and easy-to-use platform for placing orders, the app could have contributed to an increase in sales for the company.
Improved customer loyalty: The app could have contributed to an improvement in customer loyalty by providing a high-quality, convenient experience for customers
Reduced operational costs: By automating the process of taking orders and payments online, the app could have reduced the time and resources spent on these tasks, leading to reduced operational costs for the company.
Increased brand awareness: By providing a modern and user-friendly app, the company could have increased its brand awareness and attracted new customers.
Industry - : Fooding
Technology Leveraged
- Angular.JS
- Node.Js
- WebStock
- API
- UI