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[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.