Agricultural producers struggle to accurately forecast crop yields and manage supply chain uncertainty

Pomelo producers and agricultural organizations like AILIMPO need reliable forecasting methods to predict harvest volumes, but face significant uncertainty in yield projections that affects pricing, export planning, and inventory management. Current forecasting relies on historical data and manual estimation, leading to 8% year-over-year variations that create supply chain inefficiencies, pricing volatility, and missed market opportunities for both producers and distributors.