Mitsubishi Shokuhin and Nissin Foods Challenge Business Practice Reform with Data Linkage of "Commercial Flow" and "Logistics Flow," Full-Scale Collaboration for Supply Chain Efficiency Begins

Mitsubishi Shokuhin Co., Ltd. (President: Kazuo Ito, hereinafter Mitsubishi Shokuhin) and Nissin Foods Holdings Co., Ltd. (President: Tokuhiro Ando, hereinafter Nissin Foods) are officially commencing a collaboration through data linkage of "commercial flow" and "logistics flow," aiming to improve supply chain efficiency in food distribution.

**Estimated 30% Reduction in Truck Numbers through AI-driven Order Optimization**

**Promoting the Creation of a New Data Linkage Mechanism Across Manufacturing, Wholesale, and Retail**

**■ Objectives and Background**
In recent years, the food distribution industry has faced challenges such as expanding demand fluctuations, increasing workload at logistics sites, and rising transportation costs due to soaring energy prices. Traditional operations, where each company prioritizes its own efficiency, have yielded limited results, making it difficult to optimize the entire supply chain. Therefore, the importance of initiatives to optimize supply-demand balance and logistics efficiency across the entire supply chain by linking data beyond corporate boundaries is increasing.

Based on this understanding of the challenges, Mitsubishi Shokuhin and Nissin Foods have conducted three empirical initiatives since October 2025 to optimize supply-demand balance and logistics efficiency through data linkage of "commercial flow" and "logistics flow," confirming quantitative results. Building on these achievements, both companies are officially launching their collaboration to improve operational efficiency and reduce logistics burden, while also aiming to enhance productivity across the entire food distribution industry and build a sustainable supply chain.

**■ Key Initiatives of This Collaboration**
- Linking supply chain-related data, such as order plans and logistics performance, held by both companies, to promote efficiency and automation of order placement/receipt and supply-demand balancing operations.
- Considering mutual utilization and optimization of logistics assets, such as warehouses and delivery trucks, owned by both companies.
- Considering the establishment of a real-time data linkage platform across manufacturing, wholesale, and retail.

**■ Main Results of Empirical Trials in FY2025**
- By pre-linking special sale order forecast data held by Mitsubishi Shokuhin, Nissin Foods reduced its inventory adjustment work hours by approximately 200 hours per month.
- By automatically linking Nissin Foods' product information to Mitsubishi Shokuhin, product information registration operations were streamlined.
- By building an AI order model that maximizes the loading efficiency per truck when Mitsubishi Shokuhin places orders with Nissin Foods, it is estimated that the number of trucks required for delivery can be reduced by approximately 30%.

**■ Future Outlook**
By utilizing AI technology to promote the efficiency and automation of order placement/receipt and supply-demand balancing operations, the time saved and costs reduced will be used to improve consumer convenience, including stable product supply, and optimize the entire supply chain.

The primary goal of this collaboration is to review traditional business practices that prioritize only self-efficiency and to build a "co-creation type data linkage process" that benefits manufacturing, wholesale, and retail companies. Through this mechanism, various "waste, unevenness, and unreasonableness" existing in the supply chain will be visualized based on data, and by linking data across boundaries, the aim is to reform business practices across the entire food distribution industry.