Improved loading efficiency! An AI optimization planning system that considers the irregularities and specific gravity of cargo for loading.
The "Loading System" plans and proposes appropriate loading based on conditions such as the size and weight of the cargo using AI. Since the AI plans and proposes loading based on vast calculations, the loading efficiency is improved compared to human-generated loading plans. It is possible to create loading plans using AI that consider various conditions, such as stacking heavy cargo at the bottom, bringing the center of gravity of the pallets closer to the center, and prioritizing items. 【Features】 ■ It is possible to load considering the unevenness and specific gravity of the cargo. ■ The loading efficiency is improved compared to human-generated loading plans. ■ It is possible to create loading plans using AI that consider various conditions. *For more details, please refer to the PDF document or feel free to contact us.
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【Examples of Issues That Can Be Resolved】 ■ When loading depends on the advanced planning of skilled personnel ■ When cargo cannot be transported by forklift unless loading considers the center of gravity ■ When there are many conditions such as "no stacking allowed," making it impossible to load in order *For more details, please refer to the PDF document or feel free to contact us.
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【Applications】 ■Construction industry / Food manufacturing industry / Railway industry / Freight transportation industry / Air transportation industry / Warehousing industry / Wholesale, retail, and food service industry / Service industry *For more details, please refer to the PDF document or feel free to contact us.
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Our company is engaged in the planning, sales, and support of packaged software, as well as the customization and development of packaged software. We provide AI solutions, including application distribution management systems and the AI-EYE monitoring system.
![[Case Study] JR Container Loading Case](https://image.www.ipros.com/public/product/image/33f/2000470811/IPROS98172322767876921715.jpeg?w=280&h=280)
