FOOMA JAPAN 2024

FOOMA JAPAN 2024 -The World’s Leading Food Processing Expo

FOOMA JAPAN 2024 -世界最大规模的食品制造综合展览会

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Perswell

  • Product Movies
  • Debut

Winner of the SUPER-DX Contest ◆ AI demand forecasting service to support food supply chain DX. The service automatically provides advanced forecasts by reflecting weather, event and other data in real time. ◆Utilized in 200 warehouses of the Kokubu

  • Robots, IT, IoT, and Food Tech
    • AI
  • Storage, Handling, and Logistics
    • Conveyance systems

Overview of Products, Technologies, and Services

Perswell is an AI service that utilizes big data to achieve advanced forecasting and business optimization in various parts of SCM.
◆Highly accurate forecasts are realized by utilizing the latest machine learning and various external data.It can automate everything from data extraction to demand forecasting and order processing, enabling a significant reduction in man-hours. Since data scientists tune the models, highly accurate models can be used without specialized knowledge.
◆Useful for production planning, inventory optimization, distribution, and sales. The results of AI demand forecasting can be linked to your company's various systems to automate tasks such as ordering and planning.

Product Features

  • ◆Issues that can be solved
    (e.g.) Demand forecasting by human resources: Large amount of work time and burden on the person in charge, personalized forecasting, and low accuracy.
    (e.g.) Large order forecasting: Various restrictions on each product, and many locations prevent overall optimization.
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    Perswell provides an immediate solution with "Demand forecasting by AI," "Calculation of order quantity considering constraints," and "Integration with existing systems!
  • ◆Demand forecasting models can be used without a data scientist◆
    Our data scientists build the models, so you can use machine learning demand forecasting models even if you do not have your own data scientist.
  • ◆Forecasting by machine learning instead of classical statistics◆
    While classical statistics, which are widely used in demand forecasting, only utilize past actual demand data for forecasting, Perswell achieves high forecasting accuracy by utilizing the latest machine learning algorithms that can utilize various external data, which is difficult with conventional methods.
  • ◆Optimal solutions from business, system, and model perspectives◆
    Instead of blindly using machine learning models to make forecasts, we achieve high accuracy by integrally determining the scope of business, system, and model support. In addition, we provide solutions for continuous and stable forecast execution, including linkage with mission-critical systems via SFTP and automatic acquisition of various external data.
  • ◆Perswell is used in various aspects of the food supply chain◆
    Improving the accuracy of demand forecasting can streamline all aspects of supply chain operations.
    Perswell is used in various aspects of supply chain management, such as "demand forecasting for food products" at Kokubu Group headquarters, "optimization of distribution (allocation of cars and personnel)" at ZEN-NIPPON SHOKUHIN, and production planning for prepared foods.
    Outside of the food industry, the system has also been used for "demand forecasting for express tickets" for Tobu Railway, "parts procurement risk forecasting" for FUJI, and "EC package size optimization" for ORBIS.