Case Study: eyos achieves real-time retail data scaling and faster customer insights with Google Cloud Platform

eyos scaling from small startup to global business with App Engine

eyos, a UK retail technology company, needed a way to identify in-store shoppers and process highly variable receipt-level data in real time as it grew from a startup to serving global retailers. To solve this scaling and infrastructure challenge, eyos used Google Cloud Platform, including Google App Engine and BigQuery, to power its eyos retail offering.

Google Cloud Platform implemented managed, automatically scaling services that let eyos launch faster, handle traffic spikes, and connect data across retailers’ systems without managing servers. The results included access to brick-and-mortar retail data within 2.5 seconds of purchase, faster support-ticket resolution with detailed logs in BigQuery, and growth across four continents and 30 countries while keeping costs predictable.

eyos

Alexander Kayser

Co-Founder