Leading Multinational Clothing Retailer

Business Challenge​

A leading European clothing retailer and distributor wanted to automate the in-store and online markdown process using advanced analytics algorithms. Large volumes of sales and inventory data required a powerful processing platform and scalable storage.

Our Approach​

MS Azure platform was selected to build an advanced analytics landscape. We architected and developed a consolidated data layer collecting sales and inventory data from various sources across global markets, including new data sources such as search engine analytics.

Result

An advanced analytics landscape with a full data scope, used by 150+ data scientists and engineers. The automation and scheduled executions of machine learning algorithms that supported various use cases such as automated demand/order forecasting and price/markdown recommendations. Integration into existing sales and pricing systems and processes.