Case Study: Large Global Retailing Company achieves better customer shopping insights and increased revenue with Pythian

Pythian Assists Global Retailer with Advanced Analytics to Better Understand Customer Shopping Habits and Increase Revenue

Large Global Retailing Company, a global clothing retailer with 3,000 stores, needed help making sense of massive shopper data to better understand in-store buying behavior and optimize merchandise placement. The company turned to Pythian and its Google Cloud and advanced analytics expertise because it lacked the internal skills to analyze the data and answer key questions about customer traffic and shopping habits.

Pythian modernized the retailer’s data warehouse on Google Cloud Platform using tools like Google Cloud Pub/Sub, Dataflow, BigQuery, Cloud Storage, and Tableau to create a real-time analytics pipeline. The solution enabled advanced analytics on live in-store location and sales data, helping stores create custom displays, optimize staffing, and improve merchandising decisions; the company reported new insights into traffic patterns and more targeted, effective marketing based on the data.