Case Study: TOMRA achieves smarter predictive maintenance and faster innovation with Google Cloud Platform

TOMRA Collection Enabling the circular economy with technology

TOMRA Collection, a leading innovator in clean loop recycling, needed a way to improve the availability and performance of its reverse vending machines while preparing for petabyte-scale data growth. The company turned to Google Cloud Platform to support its customer-centric, data-driven innovation efforts, including a Smart Service concept built with Google Cloud services such as BigQuery, Firebase, Pub/Sub, and Vertex AI.

With Google Cloud Platform, TOMRA Collection rapidly prototyped AI and machine learning proof of concepts, enabling real-time data analysis and predictive maintenance to anticipate component failures before they happened. The result was faster prototyping, improved machine uptime, fewer unplanned repairs, and better customer transparency, helping TOMRA process billions of containers a year more efficiently and advance its sustainability goals.

TOMRA

Mariusz Szerepko

Data Scientist