Case Study: Grip achieves smarter shipping and lower costs with Databricks

Grip uses Databricks Lakehouse to provide smart shipping solutions

Grip, an e-commerce logistics company, helps customers ship perishable goods across the U.S. by analyzing data from carriers, weather providers, warehouse systems, and support tools. Using the Databricks Data Intelligence Platform, Grip processes hundreds of thousands of orders each month and needed a way to consolidate large, complex shipping data to improve delivery recommendations and customer visibility.

With Databricks, Grip unified its data pipelines and analytics using Delta Lake and Databricks SQL Serverless, enabling smarter carrier and packaging recommendations and faster reporting. The solution helped Grip’s customers reduce damage rates by 25% and shipping costs by 30%, while also improving customer reporting from daily refreshes to near real-time.

Grip

Jimmy Cooper

Co-Founder