Helping Hoff SA Reduce Waste and Optimize Potato Processing

Helping Hoff SA Reduce Waste and Optimize Potato Processing

Christoffer Lange

Jun 13, 2025

Hoff SA is Norway’s largest potato processor, handling vast volumes of raw material from farms across the country. With multiple production lines running in parallel, visibility and control are essential to reducing waste and ensuring consistent quality.

Together with Hoff, Digel has developed digital tools that provide real-time insight and help turn production data into better decisions.

The Challenge: Seeing the Full Picture

In modern food production, small variations can have large consequences. Raw material quality, operator experience, and machine settings all affect the final product. Hoff needed a way to understand how these variables interact.

Much of the knowledge in production today lives in the heads of experienced operators. Adjustments are made based on intuition rather than data, leading to inconsistencies in resource use and product quality. Our goal is to enable decisions based on shared, trusted data.

The Solution: From Data to Insight

Digel helped Hoff collect and visualize data across systems and production stages. This includes:

• Real-time silo overviews with volume, raw material quality and origin

• Traceability across intake, production lines, and quality checks

• Dashboards comparing shifts and lines, giving production leads clear insight

“We now base our discussions on facts, not just gut feeling. That makes a real difference in day-to-day decisions.” - Espen Slåtten, Technical Director at Hoff

A Common Industry Problem

Many potato processors face the same challenges: variation in raw material, manual control, and limited visibility. Our work with Hoff shows how better use of existing data can improve both performance and predictability.

What’s Next: Experience-Based Process Control

With the right data in place, the next step is to set process parameters based on full context; raw material, historical outcomes, environment and operations. This will allow for smarter adjustments and more consistent results over time.