In a market defined by rising costs, volatile grain quality, and pressure for consistency, Stybel, Israel’s leading flour milling company, sought to modernise how it manages grain.

Recognising that traditional approaches to storage, blending, and purchasing were no longer sufficient, Stybel partnered with Equinom to implement Manna™ for Wheat, an AI-powered grain intelligence platform.The result was a measurable transformation across the value chain,from more efficient bin use and smarter blending to better purchasing decisions. This case demonstrates that data driven innovation can deliver tangible value in even the most traditional industries.

About Stybel

Founded in 1935, Stybel operates five milling sites throughout Israel and serves industrial bakeries, food manufacturers, and artisan bakers nationwide. A four generation family business, Stybel is known for quality, innovation, and its strategic vision for the future.

The challenge

Despite a wealth of operational data, Stybel faced four persistent challenges:

Storage inefficiency, with bins under utilised due to wheat being sorted by limited specs (e.g., protein level).

Manual blending, requiring constant adjustments and guesswork to meet flour performance targets.

Purchasing uncertainty, where protein-focused buying often led to unexpected processing issues.

Rigid supply chains, especially for imported wheat, whichlimited flexibility and increased downstream costs.

The Manna™ Breakthrough

‍Manna™ for Wheat connects historical and real-time data, including spectral data from NIR scans, lab tests, and production logs, with machine learning to predict how wheat will perform in milling and baking.

Key features include:

‍Grain clustering – Grouping wheat lots by biochemical andspectral similarity, enabling smarter allocation.

Optimised binning – Real-time grain placement recommendations that maximise storage and reduce movement.

Predictive blending – AI-driven blending strategies that cut costs while maintaining quality.

Impact at a glance

‍+5–15 percent increase in bin utilisation

–0.5–2 percent reduction in blending cost per ton

Improved quality consistency and sourcing accuracy

Historical data activated for real-time decisions

“Manna™ gave us insight, not just data, into how different grains behave. The improvements in consistency and efficiency exceeded expectations” says Omer Thon, from Stybel.

Strategic shift

‍With Manna™, Stybel moved from reactive operations to predictive management. The company now evaluates wheat pre-milling, minimises lab testing, and makes faster, clearer sourcing decisions.

Next steps

‍Stybel is collaborating with Equinom to extend Manna™ into baking, using AI to predict flour performance in specific end products and better connect grain inputs to customer needs.

Takeaway for millers

‍Stybel’s success highlights how millers globally can unlock the value of their data. In an industry still dominated by protein specs, Manna™ shows that predictive tools are no longer optional—they are the future.