Harrows, ITOCHU, and sinops achieve logistics efficiency through supply chain collaboration utilizing demand forecasting
Three companies—sinops, ITOCHU Corporation, and Harrows—conducted a demonstration experiment to optimize logistics using demand forecasting. By adjusting orders based on retail store predictions, they successfully increased truck load rates by 24% and reduced the number of delivery trucks by 22% without impacting product availability.
📋 Article Processing Timeline
- 📰 Published: March 27, 2026 at 23:51
- 🔍 Collected: March 28, 2026 at 21:59 (22h 8m after Published)
- 🤖 AI Analyzed: April 15, 2026 at 02:08 (412h 8m after Collected)
sinops, ITOCHU Corporation, and Harrows conducted a demonstration experiment as part of the Ministry of Economy, Trade and Industry's project to support sustainable logistics. Utilizing the food value chain optimization platform 'DeCM-PF,' they implemented order controls based on Harrows' store demand forecasts. The experiment prioritized logistics efficiency without negatively affecting retail stockouts, resulting in a 24% increase in truck load rates for manufacturers and a 22% reduction in delivery vehicles. The companies aim to expand this model to other retailers.
FAQ
What were the main results of this experiment?
Key results included a 24% increase in truck load rates, a 22% reduction in delivery vehicles, and improved store stockout rates.
How was the optimization achieved?
It utilized a system that calculates optimal order quantities and timing for manufacturers based on retail store demand forecasts.