Spark 3 migration for the top global retailer
Our client aimed to optimize their data analytics strategy. Doing so would reduce the manhours and other operational costs needed to complete their daily tasks.
Industries: Retail
Centralized deployment platform for a top global retailer
Our client aimed to optimize the development of their internal projects by centralizing their deployment platform. Doing so would speed up the development and free up manhours of their in-house engineering team.
Enterprise API providing location data for a global retailer
A global retailer offers over 200 domain-specific services for their business operations, providing essential information on both physical and virtual store locations worldwide to 170 internal departments via an enterprise API.
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.
Hybrid cloud and real-time data processing
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.
Predictive analytics saves retailer £ 1M in fulfilment costs
Our client, a worldwide operating retailer, was spending £350M per year on the fulfillment and delivery of groceries solely in the UK.
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.
Forecasting framework for a global retailer
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.
Automatization of the end-to-end Machine Learning pipeline
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.
Real-time personalisation to increase sales opportunities
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.
Handling billions of rows in Spark
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.
Automated intelligent markdowns for a global retailer
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.