How can tweaking milk fat content by just 0.15% unlock huge savings – even for smaller dairies?

This week, we sit down with Michael Sievers from FOSS, who has spent three decades shaping the future of dairy automation. He reveals how FOSS inline sensors now measure around 80% of the world’s milk, and also how that data helps dairies boost yield, cut waste, and put real money back in the business.

Whether you run a small creamery or a mid-sized dairy, you’ll hear how precision and automation can help you save on raw materials, ride out volatile market prices, and stay competitive against the big players.

In this episode, you’ll discover:

1. How inline sensors turn raw milk data into efficiency gains.

2. Why real-time analysis is a game-changer for dairies of every size.

3. How automation drives higher yield and lower costs.

4. The surprising bottom-line impact of tiny fat adjustments.

5. How Industry 4.0 is reshaping the dairy industry.

Episode Content

01:53 Importance of Production Optimization in Dairy

04:33 Real-time Process Monitoring for Medium-sized Dairies

05:18 Practical Examples: Butter and Milk Fat Optimization

10:06 Financial Benefits of Automation for Smaller Dairies

12:30 Supply Chain Dynamics: Fat and Protein Utilization

14:19 Selling Excess Cream to Larger Dairies

17:45 Steps to Implement Inline Automation Systems

22:30 Overcoming Resistance to Technological Change in Dairies

27:18 Future Trends: AI and Inline Measurement Integration

Production

This podcast is brought to you by Au2mate.

This podcast is produced by Montanus.