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Volumetric dispenser×AI inside - List of Manufacturers, Suppliers, Companies and Products

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[AI Prediction Implementation Case] TSI Holdings Co., Ltd.

[AI Prediction Implementation Case] TSI Holdings Co., Ltd.

Promoting the use of AI in logistics management! Case study of the introduction of "Learning Center Forecast."

At TSI Holdings Co., Ltd., we outsource warehouse operations to external parties, and veteran staff manually calculate the forecasted shipping quantities necessary for organizing warehouse shifts based on their experience. Due to circumstances such as being able to shop only online during the state of emergency, shipping volumes increased several times, making forecasting difficult. After the introduction of our product, the error rate between actual shipping volumes and forecasted values improved from 42.0% with traditional manual forecasting to 16.8%, achieving a 25.2-point improvement. 【Business Challenges】 - The forecasted shipping quantities were calculated manually by veteran staff. - Due to situations like being able to shop only online during the state of emergency, forecasting became difficult as shipping volumes increased several times. *For more details, please refer to the PDF document or feel free to contact us.*

  • Business Intelligence and Data Analysis

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AI-OCR "DX Suite" Use Case <Manufacturing Industry Edition>

AI-OCR "DX Suite" Use Case <Manufacturing Industry Edition>

Employees on-site can set up and utilize the reading settings themselves! Case studies on the use of AI-OCR to accelerate improvements.

The AI-OCR "DX Suite" provided by AI inside is widely utilized across various industries and departments. In this context, we will summarize how different companies came to use our services, including their backgrounds and challenges, as well as the results and effects after implementation. This article presents case studies of three companies in the manufacturing industry that have utilized "DX Suite." [Content] ■ Employees on the ground can set up and utilize the reading settings themselves. ■ Innovations in their own formats to improve reading accuracy. ■ Creating processes that do not involve human intervention by linking with internal management information. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.

  • Document and Data Management

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