Case Study: MakeMyTrip achieves unified data-driven personalization and 20% higher click-through rates with Databricks

Enriching travel experiences with data & ML

MakeMyTrip, India’s leading online travel company with 45 million monthly active users, faced rapidly growing and fragmented data across hotels, flights and cars that created inconsistent, duplicate records and a tangle of hard-to-maintain pipelines. This siloed landscape slowed model training, hindered cross-team collaboration, and complicated their move to an AWS-based data platform.

Partnering with Databricks, MakeMyTrip built a unified data analytics platform with a centralized Feature Store, Delta Lake and Spark to unify streaming and batch sources into a single source of truth. The new environment streamlined featurization and collaboration, sped up model deployment and orchestration, and enabled more precise, personalized campaigns—driving a 20% increase in click-through rates and providing a scalable foundation for future ML-driven products.

MakeMyTrip

Piyush Kumar

Head of Data Platform Engineering