Case Study: THE SWING achieves smarter fleet operations and 20% revenue growth with Databricks

Making day-to-day transportation personalized and effortless

SWING, Korea’s leading personal mobility provider, needed a way to keep up with rapid fleet growth, frequent vehicle relocations, and new services while its legacy analytics stack and BigQuery-based workflow became slow, costly, and hard to scale. The company also struggled to process IoT data for real-time vehicle monitoring and to turn data into timely operational decisions.

By adopting Databricks Data Intelligence Platform, SWING improved fleet management, IoT optimization, and data governance with AI-driven insights for smarter vehicle location analysis and relocation. Databricks helped streamline operations, boost customer satisfaction, and support a 20% revenue increase through better data-driven decisions.

SWING

Seunggyon Hur

VP of Tech