Autotrader is an online marketplace for car shoppers and sellers. It aggregates millions of new, used, and certified second-hand cars from thousands of dealers and private sellers.
Automotive / Consumer Technology
Recommendation Engine – Leverage machine learning to predict car valuations which helps car sellers to understand what their car is worth given age, mileage, and condition.
Databricks provides Autotrader with a unified analytics platform that has fostered a collaborative environment across data science and engineering, allowing them to innovate faster.
Databricks has provided Autotrader with a Unified Analytics Platform that serves as an entry point to their data and analytics, making it accessible to people across different disciplines, including data scientists and developers. It has not only improved the collaboration across the data science and engineering teams at Autotrader, but has also help streamline and improve the process of training and deploying machine learning models — speeding time-to-market for new models by 3x.
With Databricks and Apache Spark, we’ve been able to move a particular model from development straight into production with a very limited amount of time and operational complexity.