Services
Big Data & Analytics
Industries
E-commerce & Retail
Product
Our clients’ software takes syndicated & retail data (Nielsen, IRI, Spins, Whole Foods, etc.) and transforms it into dynamic selling stories for consumer product goods (CPG) sales managers. The Company’s next-generation software platform uses machine learning to make faster and smarter recommendations for customers.
Business needs
- Develop and design new functionality for analytics.
- Deliver the next version of the software to production.
- Develop a modern user interface and a data visualization system.
- Create charts for data visualization and marketing analysis.
Suggested solutions from svitla
- Migrated to React.js from a custom JavaScript library to enhance modularity in the system.
- Utilized a REST API to connect the frontend and backend, improving service-oriented support.
- Transitioned all code from PHP/Symfony2 to Java/Play and Scala to boost performance and stability of the backend.
- Visualized data using Highcharts in web solutions based on HTML5 and JavaScript.
- Increased the stability of the frontend by implementing unit tests and adopting React.js.
Technologies
Programming languages: Java, PHP, Scala, JavaScript, HTML/CSS
Framework: Java/Play, React.js, Highchart, Symfony2
Database: MySQL
Tools: GIT
Value delivered
- The product was successfully launched into production.
- Enhanced charts and data visualizations provided clearer insights into key performance indicators (KPIs).
- Daily usage of the product increased due to its streamlined and user-friendly interface.
- The performance and stability of the product improved due to the reworked backend.
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