Case Study: Simpl achieves faster ML training and data democratization with Databricks

Ensuring frictionless payments shoppers can bank on

Simpl, India’s one-tap checkout and post-purchase platform, needed a more scalable way to support its 30,000 merchants and 10+ million monthly transactions. Its outdated tech stack and siloed data caused frequent failures, slow ML model training, and cumbersome deployments that made it hard to deliver real-time analytics and improve the checkout experience.

With the Databricks Data Intelligence Platform, Simpl unified data and streamlined ML and analytics workflows using Databricks SQL and Databricks Lakeflow Jobs. The results were significant: ML training time dropped from weeks to a single day, analytics turnaround improved by 35%, and time to market for ML models accelerated by 90%, while broader data access helped more teams work directly with business-critical data.

Simpl

Vikas Goyal

Principal Engineer