— AI-Driven B2C Digital Commerce Solution

Business Objective

The customer is a leading player in the luxury segment in the U.S., sought to enhance its digital commerce capabilities by providing a seamless and personalized platform for browsing and renting luxury items through web and mobile applications.

The primary objective was to develop an intuitive and feature-rich B2C digital commerce solution that would allow their customers to effortlessly discover, select, and book luxury items. Additionally, the project included the implementation of an analytics-driven cross-sales solution powered by machine learning to recommend relevant products based on users’ cart contents.

Solution

A cutting-edge digital commerce platform was developed, incorporating the following key features:

  • Seamless User Experience: An intuitive web and mobile application for luxury rentals, ensuring a smooth browsing and booking process.
  • AI-Powered Cross-Sales Engine: A machine learning-based recommendation system that suggests relevant products based on users’ cart selections.
  • Personalized Shopping Experience: Advanced analytics and data-driven insights to enhance customer engagement.
Results

The B2C digital commerce solution was successfully delivered, significantly improving customer experience and engagement. The AI-driven cross-sales feature enabled the customer to provide personalized recommendations, increasing sales and optimizing the shopping journey for luxury consumers.

Cooperation lasted for 3 years with a team of up to 15 engineers.

Tools & Technologies

Project Management:

  • Agile Methodologies: Scrum
  • Project Management Tools: Jira, Asana
  • Collaboration Tools: Slack, Microsoft Teams
  • Documentation: Confluence

Backend Development:

  • Programming Languages: Java, Python, Node.js
  • Frameworks: Spring, Boot, Django, Express.js
  • Databases: MySQL, PostgreSQL, MongoDB
  • Web Services: RESTful APIs
  • Authentication and Authorization: OAuth 2.0, JWT
  • Message Brokers: RabbitMQ, Apache Kafka

Frontend Development:

  • Programming Languages: HTML5, CSS3, JavaScript (ES6+), TypeScript
  • Frameworks: React
  • State Management: Redux, MobX
  • UI Component Libraries: Ant Design, Material UI
  • Build Tools: Webpack, Babel
  • Testing Frameworks: Jest, Enzyme

Mobile Development:

  • Platforms: iOS, Android
  • Cross-platform Frameworks: React Native
  • UI Frameworks: UIKit (iOS), Jetpack Compose (Android)
  • Testing Frameworks: XCTest, Espresso
  • Build Tools: Xcode, Android Studio

DevOps:

  • Version Control: Git
  • Continuous Integration and Deployment: Jenkins, GitLab CI/CD, Docker, Kubernetes
  • Configuration Management: Ansible
  • Cloud Platforms: AWS, Microsoft Azure, Google, Cloud Platform
  • Monitoring and Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana
  • Containerization: Docker, Kubernetes

Machine Learning:

  • Machine Learning Framework: TensorFlow, scikit-learn, Amazon SageMaker
  • Data Warehouse: Snowflake
  • Data Collection and Preparation: Apache Kafka
  • Data Storage: Apache Hadoop, Apache Hive
  • Data Processing: Apache Spark, Apache Flink
  • Feature Engineering: Pandas, NumPy
  • Deployment: SageMaker, Python
  • Real-time Analytics: Apache Kafka, Apache Flink

UI/UX design:

  • Design Tools: Adobe XD, Sketch, Figma
  • Wireframing and Prototyping: InVision, Balsamiq
  • Frontend Design: HTML5, CSS3, JavaScript
  • Responsive Design: Bootstrap, Material-UI
  • User Testing: UserZoom, Hotjar

Quality Assurance:

  • Testing Frameworks: Selenium, Cypress, JUnit
  • Test Automation Tools: Jenkins, GitLab CI/CD
  • API Testing: Postman, SoapUI
  • Performance Testing: JMeter, Gatling
  • Code Quality Tools: SonarQube, ESLint
  • Test Management: TestRail
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