Enabling telecoms to enhance customer outflow, increase revenue and margins with the help of adequately applied Machine Learning algorithms. Made-to-measure offers based on market analysis and the services\' added value lead to providing personalized offers to reduce customers churn. A comprehensive solution for businesses, enabling assessing churn risk, increasing ARPU and securing data.The cloud-based platform was rebuilt with a view to serve the churn reduction and offer optimization. Crucial components were build using Java, NodeJS, Angular and NestJS. Thanks to the usage of Azure, AWS and client sided services, the project works in a hybrid cloud. The project transformation included also switching from waterfall development to agile manufacturing.
