Case Study: Leading E-commerce Retailing Company achieves reduced excess inventory, 10% sales boost, and 65% fewer pricing discrepancies with Dataiku

Leading E-commerce Retailing Company - Customer Case Study

Leading E-commerce Retailing Company, a large European retailer with over 3,500 stores and an e-commerce arm, was losing margin to competitors and suffering from reactive seasonal markdowns and inconsistent pricing across stores and online. To address these challenges they worked with Dataiku and adopted Dataiku Data Science Studio (DSS) to bring predictive analytics into their pricing process.

Dataiku built and deployed predictive pricing models (in six months) that ingested competitor prices, used a REST API to push automated price changes, provided real-time model monitoring, and delivered a pricing dashboard for store and online managers. Using Dataiku’s solution the retailer reduced excess inventory, cut online/in-store pricing discrepancies by 65%, and increased sales by 10%, while improving store manager productivity and governance of pricing changes.