Industry First: High-Precision Demand Forecasting for Fruit Trays Using Weather Data × AI—Nihon Mold Industry

Nihon Mold Industry Co., Ltd. (Headquarters: Mikawa Anjo, Aichi Prefecture; President: Yudai Ishihara) has developed a proprietary demand forecasting model for fruit shipments using meteorological big data to address risks of overstocking and shortages in the agricultural container sector.

The model focuses on pears—a product with high seasonal variability—and visualizes tray demand for each size based on composite data such as average temperature, precipitation, and wind speed. This approach is expected to significantly improve operations, targeting a 30% reduction in inventory.

Previously, the container industry relied on forecast-based production to meet seasonal demand surges, leading to inventory risks and environmental impact due to excessive product movement. President Ishihara participated in a 'Weather Data Analyst' program and constructed the model by correlating 20 years of sales data with meteorological records. After successful verification in 2024, the company plans to apply this model to other products and contribute to lowering environmental impact by providing analytical feedback to their customers.