Case Study: Blip achieves scalable chatbot insights with Databricks

Reshaping the customer experience with humanized chatbots

Blip, a company that builds humanized chatbots for customer service, payment processing, and lead generation, was struggling to keep up with rapidly growing data volumes. As their data silos became harder to manage and query performance slowed, they needed a better way to centralize behavioral and customer data for analytics, machine learning, and dashboarding. Blip used the Databricks Data Intelligence Platform to support its data-driven chatbot operations.

Databricks helped Blip implement a lakehouse architecture with Delta Lake, Delta Sharing, Unity Catalog, and Power BI integration to centralize, govern, and share data securely across teams and customers. The solution improved ETL scalability, enabled real-time insights, and removed barriers to reporting. As a result, Blip can democratize chatbot insights, track metrics like users, messages per day, and unanswered messages, and use fresher data to improve customer service, marketing, and chatbot performance.

Blip

Tiago Amaral Batista

Tech Lead and Data Engineer