AI on the Farm: How Machine Learning Is Replacing 100 Years of Gut Feel in Pricing

Join AISO for an inspiring and practical session with Bart van Dun (Partner at Metyis) and Maarten Stramrood (CDO at Nutreco) on bringing ML into Nutreco's pricing process.

As artificial intelligence rapidly moves beyond dashboards and rule-based systems, we are entering a new era of commercial decision-making, one driven by adaptive models and real-time signals. In this session, we'll explore how machine learning is moving from proof-of-concept into the core monthly rhythm of pricing at Nutreco, a global leader in animal nutrition (€5-6B in revenue) and part of SHV, the largest family-owned company in the Netherlands.

Drawing on Metyis's perspective at the intersection of AI, data, and strategy, we introduce key concepts such as ML-driven price definition, regional price adaptation, and margin simulation. It explains why pricing, with its blend of internal transactions, commodity volatility, and macro-economic signals, is the ideal first frontier for ML in a business built on operations.
A key theme: AI in pricing is no longer just analytics. It is becoming the operating system for commercial decisions at scale.
What we'll cover:
The Metyis partnership model shares risk and upsides by staying through implementation
Inside SHV: governance, culture, and how digital transformation lands in a multi-generational industrial group
How pricing at Nutreco traditionally works, and how ML is implemented to support the process
Under the hood: how the model combines internal transactional data with commodity prices, inflation, and macro-economic indicators
Why ML beats rule-based approaches: adaptiveness, scalability, and weighing dozens of signals at once
Open Q&A on careers, data science in industry, and AI in commercial decision-making
Schedule
16:30 to 17:00: Doors open, 17:00 to 18:30: Keynote and Q&A, 18:30 to 20:30: Drinks and networking at Crea.
Hosted by
AISO, in collaboration with Metyis and Nutreco
Part of Amsterdam Tech Week 2026. June 16–19
See the full AMS Tech Week calendar.