Predictability that pays off: How Edelrot strengthened their business with hexafarms

Strawberry yields depend on a complex web of variables, climate conditions, plant growth and quality, variety choice, and cultivation management. Traditional forecasting relied on Dominik's expertise and manual estimation, leading to wide inaccuracies. Overestimates created surpluses, additional costs, and waste. Underestimates caused labor shortages and missed opportunities. Both scenarios undermined trust with marketing partners and customers and hurt profitability.

Dominik adopted hexafarms' forecasting tool, which integrates fruit and flower counts, historical production data, climate data, crop biomarkers, and 80+ other parameters. The system continuously learns from the farm's unique growing patterns to generate yield forecasts that are both accurate and actionable.

Forecast accuracy improved to 85–90%. Under- and overforecasting were cut significantly, ensuring consistent partner deliveries. Harvest peaks are now managed with better-aligned staffing and logistics.

By replacing manual estimation with a data-driven forecasting system that integrates 80+ parameters and learns from the farm's unique patterns, Dominik transformed yield prediction from guesswork into a planning foundation. This accuracy cascaded into better workforce scheduling, packaging preparation, sales commitments, and partner trust. Building on three years of success, Dominik plans to expand the system to incorporate real-time climate data and pest monitoring, transforming hexafarms from a forecasting tool into a full crop insight platform.