Case Study: Global Auto Auctions achieves millisecond vehicle search with Zoolatech

A Zoolatech Case Study

Preview of the Global Auto Auctions Case Study

Global Auto Auctions speeds vehicle search 50–100x with Zoolatech

Global Auto Auctions, an online vehicle marketplace, faced significant performance and scalability challenges with its legacy search architecture. As its inventory grew beyond 600,000 vehicles, searches were slow, taking 8-30 seconds, due to an inefficient data structure and an inability to handle complex filtering. Zoolatech was engaged to modernize the platform and address these bottlenecks.

Zoolatech redesigned the data model for efficiency and implemented Elasticsearch to power the search functionality. This solution included a new search API and a modernized JavaScript interface. The results were dramatic, with Zoolatech delivering a 50-100x performance improvement that reduced search times from seconds to just 100-300 milliseconds, providing a scalable foundation for the marketplace's future growth.


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