Promoting the use of AI in logistics management! Case study on the introduction of "Learning Center Forecast."
At TSI Holdings Co., Ltd., we outsource the operation of our warehouses, and veteran staff manually calculate the necessary shipping quantity forecasts to organize warehouse shifts based on their experience. Due to situations such as being able to shop only online during the state of emergency, we faced a significant increase in shipments, making forecasting difficult. After the introduction of our product, the error rate between actual shipping volumes and forecast values improved from 42.0% with the previous manual method to 16.8%, achieving a 25.2-point improvement. 【Business Challenges】 - Shipping quantity forecasts were manually calculated by veteran staff. - The situation during the state of emergency, where shopping was only possible online, led to a significant increase in shipments, making forecasting challenging. *For more details, please refer to the PDF document or feel free to contact us.*
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**Effects of Implementation** - The error rate between actual shipment volume and forecast values improved from 42.0% to 16.8%, achieving a 25.2-point improvement. - Improved forecasting accuracy enabled the optimization of personnel allocation in the warehouse. - By automating daily forecasts with AI, the man-hours spent on manual forecasting were reduced by 80%. *For more details, please refer to the PDF document or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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AI Inside is developing artificial intelligence business under the mission of "delivering AI to people and things around the world and contributing to a prosperous future society." By providing an AI platform, we aim to promote the decentralized creation of diverse and valuable AI and sharing among users, striving for a society where AI is spread throughout.