United StatesAgriculture and food production2025 – ongoingBayer Crop Science
E.L.Y. Crop Protection Mini advisor assistant
Bayer estimated 5–10% productivity gains among early users of its crop-protection assistant
Problem
Agronomic advisors spent hours or days interpreting lengthy product labels. Questions escalated to technical teams could take days or weeks to resolve.
Approach
Bayer worked with Microsoft to fine-tune a Phi small language model on proprietary labels and regulatory information. It hosted E.L.Y. Crop Protection Mini in Azure AI Foundry and delivered answers through E.L.Y. Copilot. Internal advisors and selected retail partners used the system with controlled access.
Results
Takeaway
Bayer placed specialized answers inside an existing advisor tool. The productivity estimate covered early users rather than a completed broad rollout.
Categories
- Size
- Large enterprise
- Industry
- Agriculture and food production
- Business function
- Internal work and knowledge managementMarketing and sales
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Microsoft described the model and interviewed Bayer executives about early use. Bayer estimated productivity gains of 5–10% and said complex questions could be resolved in under 30 seconds.
Full details are in the original sources.