Case Study: Fit Analytics achieves faster data processing and 99.99% uptime with Google Cloud Platform

Solving sizing at scale with Google Cloud

Fit Analytics, a machine learning platform for apparel companies, needed to scale its sizing recommendations while keeping processing fast, reliable, and secure as it served more than 250 million recommendations a month. The company turned to Google Cloud Platform, using Google BigQuery, TensorFlow, and Google Kubernetes Engine to support its Fit Finder service and manage growing demand.

Google Cloud Platform helped Fit Analytics cut data processing times by a factor of 10, turning jobs that took hours into minutes. With Google Kubernetes Engine, Fit Analytics also achieved 99.99% uptime and improved scalability, enabling it to handle peak traffic and deliver up to 11.5% conversion lifts and 4.4% lower returns for customers.

Fit Analytics

Andrew Delany

Head of Marketing