Case Study: Auto Avaliar achieves faster vehicle appraisals and greater reliability with Looker

Auto Avaliar Revolutionizing automotive eCommerce with Google Cloud

Auto Avaliar, a Brazil-based B2B automotive eCommerce platform, needed a more scalable and secure way to support used-vehicle appraisals, bidding, and sales as its legacy infrastructure struggled with growth, slowdowns, and long development cycles. The company turned to Looker as part of its Google Cloud stack, using it alongside BigQuery and other cloud services to improve analytics and support its dealers and multi-brand stores.

With the help of Looker and Google Cloud, Auto Avaliar built a faster, more reliable platform that processes more than 200,000 monthly appraisals and annual sales of over 144,000 vehicles. The solution also helped reduce appraisals and sales processing time by 90%, cut mean time to resolution from four hours to under 10 minutes, and accelerate time to market by 40%, while enabling real-time dashboards and better business decisions through data analytics.

Auto Avaliar

Rogério Alves

Director of Development