Illustrative scenario. Figures are modelled on typical Omnifys deployments and are not drawn from a named client engagement.
The challenge
An agricultural producer farming 14,000 hectares forecast yield from experience and spot checks. Labour and transport were booked on estimates often 20% out, causing either idle crews or last-minute hire at premium rates.
What Omnifys deployed
- Yield forecasting from field sensors, satellite imagery and weather
- Harvest window prediction per block
- Labour and haulage requirements generated from the forecast
- Continuous re-forecasting as conditions change
Agents used: Demand Forecasting Agent, Real-Time Prediction Agent, Report Generation Agent.
Results
- 28% — improvement in forecast accuracy
- $240K — saved on premium-rate emergency labour
- 11% — reduction in crop losses from late harvest
- Weekly — re-forecasting during the growing season
Why it worked
Forecasting did not change what grew. It changed whether the right number of people and trucks were there on the right day.
Explore this for your business
Every Omnifys agent routes tasks across 15+ leading LLMs, integrates through n8n, Zapier and 300+ connectors, and ships with monitoring, audit trails and human-approval steps you control. Typical deployment runs two to six weeks from discovery to production. Book a free 30-minute consultation to map the highest-impact automation for your team.