Case Study: Trigo achieves scalable, seamless shopping experiences with Looker

Creating the grocery shopping experience of the future with Google Cloud

Trigo, a startup turning traditional supermarkets into smart stores with AI and 3D modeling, needed a cloud platform that could scale quickly, stay reliable, and remain cost-effective as it expanded globally. Working with Looker, Trigo sought support for handling growing real-time data from stores across North America, Europe, the Middle East, and beyond while reducing latency and supporting rapid rollout.

Looker helped Trigo implement a scalable data and cloud architecture using tools such as Cloud Bigtable, Google Kubernetes Engine, Pub/Sub, and BigQuery to manage microservices, data streams, and analytics. The result was faster processing, better system reliability, and improved efficiency as new stores moved from testing to live, helping Trigo lower costs and deliver more value to retailers.

Trigo

Daniel Gabay

Chief Technology Officer