Software Development
McDonald's
Challenge
The client wanted to implement direct personal marketing, but being a physical store, they couldn't collect a database of customer information and behavior. Moreover, they aimed to attract a new customer segment.
Solution
We conducted extensive research and analysis to identify the needs and preferences of our target audience. Based on this, we meticulously designed and meticulously developed a captivating and immersive mobile side-scroll platform game. This game has been specifically crafted to not only attract a new customer segment but also to retain our returning clients. To ensure a seamless user experience, we implemented advanced tracking systems that enable us to monitor and analyze customer behavior. Through this, we are able to gain valuable insights into when and where our customers utilize discounts and on which products. By understanding these patterns, we can make data-driven decisions to optimize our marketing strategies and further enhance customer satisfaction.
Involvement & Process
The game development is organized under the SCRUM framework, utilizing weekly sprints for effective project management. C# is our go-to tool for creating in the Unity Engine. Our codebase is hosted on GitHub, providing a collaborative and version-controlled environment. To maintain code quality and functionality, we have a comprehensive testing process. This includes a combination of automated testing tools to catch potential issues early in the development cycle and manual testing to ensure a thorough examination of the application's user interface and functionality
We used Firebase and Javascript for the backend side of the game. The same weekly sprint principle was used for the development process. Additionally, Swagger served as our main tool for describing and visualizing RESTful APIs, facilitating communication between the backend and Game components.
Result
New customers were attracted, and a newly created data pool was utilized for personalized data-driven marketing. Customer audiences were created based on the collected data, enabling the creation of unique opportunities specifically targeted at the right customers. As a result, their ROI increased to 80%.
Tech
HTML/CSS
Tailwind.css
Javascript
Typescript
React
Redux
Next.js
Angular
Vue.js
Node.JS
Nest.JS
Express.JS
Python
Django
.NET
C#
Golang
Java Spring
Laravel
PHP
Java
Kotlin
Swift 5
Swift UI
React Native
TensorFlow
PyTorch
Mediapipe
Google Colab.
Scikit-Learn
Apache
Docker
Kubernetes
Jenkins
Git
Ansible
AWS
GCP
Azure
Digital Ocean
Firebase
Terraform
ArgoCD
Unity Engine
Unreal engine
Vuforia Engine
AR Core
AR Kit
Mediapipe
OpenCV
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