Building risk detection engine with Kafka and stream processing for top global retailer
Our client, a global retailer, aimed to enhance the security of their system since hackers carried out fraudulent activities on their E-commerce site.

Our client, a global retailer, aimed to enhance the security of their system since hackers carried out fraudulent activities on their E-commerce site.
Our client aimed to optimize their internal tools. The existing system lacked warehouse management functionality, which created discrepancies between the amount of raw materials on-site and in the registry.
In today's competitive retail landscape, forecasting demand accurately makes or breaks any business. A major global retailer relied on a slow and resource-intensive forecasting process that made it hard to keep up competitiveness.
Our client, a global retailer, aimed to automate their Machine Learning (ML) pipeline to leverage user behavior data and gain a competitive edge by predicting customer needs more accurately. To do so, the retailer lacked the expertise in Big Data, software development, and data transformation.
Our client, a worldwide retailer, runs a big shopping e-commerce platform that experienced a significant delay between customer actions and tailored recommendations. VirtusLab ensured the system's high availability and scalability.
Our client’s data analysis was hindered by the inability to isolate price changes. Employees from other departments had difficulty performing their work efficiently. VirtusLab enhanced the default method of overwriting the entire table in Spark.
Our client, a global retailer, offers seasonal and end-of-line deals. Therefore, the goods must leave the shelves and the department stores' before the next season starts and new goods are delivered. For this purpose, the retailer introduced a pricing strategy that lowers the prices of the products within a particular time window.
The client aimed to optimize the monitoring of their manufacturing process. The existing system relied on Programmable Logic Controllers (PLCs), which were limited and expensive to upgrade.
Once the client reached out to VirtusLab for assistance, we improved the user interface by using a Design System named Tetrisly. We streamlined processes, cut steps and features, and made it more user-friendly. This resulted in consistent service and a better guest experience.
VirtusLab helped the client in empowering their teams with a cutting-edge platform. It replaced an arduous process using Excel, optimizing exchange time through seamless digital interactions.
A world-leading retailer aimed to unify their in-house platform to enable self-service for their employees. In cooperation with VirtusLab, they reduced the paperwork and shortened company processes, increasing employee productivity.
Our global freight forwarder client needed to optimise its storage usage and operational costs. With VirtusLab's help, they migrated from CosmosDB to Azure storage which resulted in a significant reduction in costs and storage space.