[Case Study] Demand Forecast Optimization System
Accurately forecast demand based on manufacturing and sales data as well as external factors, achieving inventory optimization and reduction of stockouts!
We would like to introduce a case study of the development of a "Demand Forecast Optimization System" at our company. In traditional inventory management, issues such as excess inventory and stockouts were common, leading to losses for the business. Additionally, during development, we faced challenges such as addressing the complexity of models due to the integration of external data (weather, campaigns, etc.). In response to these issues, our company implemented feature engineering, ensemble learning, and the development of a visualization dashboard to enhance operational capabilities. 【Technical Challenges】 ■ Addressing model complexity due to the integration of external data (weather, campaigns, etc.) ■ Preventing overfitting to rare events (sudden demand fluctuations) and ensuring flexibility ■ Designing an interface that presents learning results in a way that is easy for business personnel to understand and utilize *For more details, please download the PDF or feel free to contact us.
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【Main Achievements】 ■ Demand forecasting accuracy: Approximately 10% improvement ■ Inventory turnover rate: Approximately 15% improvement ■ Stockout rate: Average 20% reduction ■ Order lead time: Shortened through optimization *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.