Case Study: MUSINSA achieves smarter fashion recommendations and data-driven growth with Databricks

Helping consumers make intelligent fashion choices

MUSINSA, Korea’s leading online fashion platform with 13 million subscribers, was growing rapidly and generating far more structured and unstructured data across sales, brands, users, and behavioral logs. To support smarter fashion recommendations, better decision-making, and more efficient operations, MUSINSA turned to Databricks and its Data Intelligence Platform to address increasing data complexity.

Databricks helped MUSINSA build a more accessible, unified data environment for different employee roles and data needs, including governance with Unity Catalog. The result was improved ability to manage nearly 5 billion data points per month and support data-driven personalization, broader brand exposure, and operational efficiency at scale, helping MUSINSA maintain its position as Korea’s No. 1 fashion store.

Musinsa

Hwansung Yu

Team Lead of Data Platform