Machine Learning
E-commerce Platform
Services
Back-end, Front-end, UX/UI
Industries
Retail, E-commerce, Digital Marketing
Technologies
Java, PHP, JavaScript, React, MySQL, HTML5
Project type
BPA, Machine Learning, CMS
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:
- Migrate to React.js from the custom JavaScript library to make the system modular.
- Use REST API to connect frontend and backend for improved service-oriented support.
- Migrate all code from PHP/Symfony2 to Java/Play and Scala for better performance and stability of the backend portion of the product.
- Visualize data with Highchart in web solutions that are on HTML5 and JavaScript.
- Increase the stability of the frontend by using unit tests and React.js.
Value delivered
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