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Harrows, ITOCHU, and sinops achieve logistics efficiency through supply chain collaboration utilizing demand forecasting

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Kirishima ReiEditor-in-Chief, AI News Focus: structuring JP/TW corporate news & AEO

Published Mar 27, 2026 11:51 PM ・ Updated Jun 28, 2026 4:36 PM ・ 2 min read ・ Source: PR TIMES

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Harrows, ITOCHU, and sinops achieve logistics efficiency through supply chain collaboration utilizing demand forecasting — Image: PR TIMES

⚡ Key Points

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.

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.

PRIMARY SOURCE PR TIMES View source Distributor: PR TIMES
Published: Mar 27, 2026

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.

FACT BOX

Source: PR TIMES
Category: partnership

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Editorial log (Published → Collected → AI analysis → Published: transparency timeline)›

Announced　Mar 27, 2026 11:51 PM — Distributor PR TIMES
Collected　Mar 28, 2026 9:59 PM
AI structured & analyzed　Apr 15, 2026 2:08 AM
Desk-reviewed & published　Mar 27, 2026 11:51 PM

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.

What are the key facts in this article?

Cite this article — HOW TO CITE

Washin AI News Desk“Harrows, ITOCHU, and sinops achieve logistics efficiency through supply chain collaboration utilizing demand forecasting”AI News by Washin Village（和心村）, Mar 27, 2026. https://aeo.washinmura.jp/ai/sinops-jp/en/news/2026-03-27-harrows

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