Case Study: TINE achieves accurate milk-production forecasts and improved dairy quality with Amazon Web Services (AWS)

How Crayon is Helping TINE Revolutionize the Norwegian Dairy Industry Using Machine Learning on AWS

TINE SA, Norway’s largest farmer-owned dairy cooperative, faced rising market demands and limited long-term visibility into milk production and animal health. Although it had decades of farm-level data, TINE’s on-premises systems and basic models couldn’t reliably forecast production—creating risks such as the national butter shortage in 2011—and the company needed a more data-driven approach to improve predictability, animal welfare, and product quality.

Working with Crayon/Inmeta and building on AWS, TINE extracted historical time-series data, deployed ML models and a data lake, and introduced IoT sensors to produce 24‑month forecasts at cow, farm, and national levels (predicting milk, births, and herd size). The move to AWS cut IT costs by about 50%, sped development by ~60%, enabled automated, granular production planning, improved animal care and sustainability opportunities, and spawned a spin‑out (Mimiro) to commercialize the platform internationally.

TINE

Mette Øyen Roald

Director for Radical Innovation