Volatility in milk supply, shifting demand patterns, and razor-thin margins are making traditional planning tools obsolete — and dairy S&OP is harder than almost any other category. Perishability, seasonal intake swings, and yield complexity create planning challenges that generic tools simply weren’t built for, and those pressures are only intensifying.

This session explores where AI actually makes a difference: multi-signal demand forecasting, real-time supply balancing, and scenario stress-testing that handles the trade-offs that overwhelm traditional planning. Concrete examples include demand forecasting that accounts for promotions and customer behavior, and milk allocation models that optimize across the entire product mix.

The session also addresses how to get started without getting overwhelmed — the biggest mistakes organizations make when adopting AI, and the practical first steps that actually work. No perfect data or massive budget required. A forward-looking close covers where AI in dairy is heading, and why the window to get ahead of it is now, not later.

Portions of this webinar will be pre-recorded. If you have specific questions you would like answered, please submit them before Wednesday, April 15 – HERE​ 

The Agenda:

1. Welcome & Introduction
2. Dairy Industry S&OP Challenges
3. AI’s Role in Dairy S&OP
4. Practical AI Applications
5. Implementation Insights
6. Closing Thoughts