Cloud transformation for a Top10 global retailer
VirtusLab helped design and migrate many systems, resulting in faster delivery and better quality in the cloud infrastructure area.
VirtusLab helped design and migrate many systems, resulting in faster delivery and better quality in the cloud infrastructure area.
Our client, a flexographic printing manufacturer, specializes in producing labels and soft packaging. Their customers demand an accurate and quick estimation of production costs and lead time.
Our retail client collects and processes data from their online store on-premises. Their growth in customer data posed a potential threat to business growth since the remaining solution showed processing limitations.
Our client, a worldwide operating retailer, was spending £350M per year on the fulfillment and delivery of groceries solely in the UK.
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.