Case Study: Rue Gilt Groupe achieves 10x purchase engagement and 25x faster model building with Databricks

Rue Gilt Groupe - Customer Case Study

Rue Gilt Groupe is an off‑price online fashion retailer serving 19 million shoppers. To deliver personalized experiences they needed to ingest and analyze over 400 GB of data per day and run 20+ transformation queries for data science, but their pipeline was computationally expensive and lacked a distributed system to meet scaling and performance needs.

Databricks provided a fully managed, distributed platform for faster ETL and distributed machine learning for their recommendation engine, yielding estimated 60% query speedups and 25x faster parallel model building and prediction. Those improvements helped drive a 10x increase in purchase engagement, repeat visitation rates above 60%, and over 5% incremental revenue in a beta release.

Rue Gilt Groupe

Benjamin Wilson

Lead Data Scientist