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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