Weekly forecast accuracy improved by 3 to 5 percentage points, and date forecast accuracy improved by 6 to 10 percentage points!
We would like to introduce a case study of the implementation of o9 at a major global dairy manufacturer. This manufacturer faced various challenges, including significant variability in forecasting accuracy and quality, as well as managing the forecasting process using Excel while utilizing SAP APO as the execution layer. After the implementation, bias was improved in almost every week. Additionally, by incorporating detailed promotional information, it became possible to forecast the uplift from promotions globally, resulting in a variety of benefits. 【Main Implementation Details and Scope】 ■ Automation of past anomaly corrections and segmentation of the product portfolio ■ Best-fit forecasting including a machine learning driver-based model using internal and external drivers such as promotions, holidays, and weather ■ Decomposition of weekly forecasts of past shipment performance into daily forecasts using smart AI analytics *For more details, please download the PDF or feel free to contact us.
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【Implementation Effects】 ■ Weekly forecast accuracy improved by 3 to 5 percentage points, and daily forecast accuracy improved by 6 to 10 percentage points. ■ Bias improved in almost all weeks. ■ Forecast accuracy increased for approximately 90% of total quantities. ■ By adding detailed promotional information (such as price, duration, display, etc.), it has become globally possible to predict uplift from promotions. ■ Identification of various external drivers that are not utilized internally. *For more details, please download the PDF or feel free to contact us.
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o9 Solutions Japan Co., Ltd. is a company that offers the AI-powered supply chain planning platform "o9 Digital Brain." Our mission is to transform decision-making related to supply chain, commercial, financial, and sustainability aspects for global enterprises through our groundbreaking planning platform. We provide solutions such as demand forecasting, supply planning, and sustainability utilizing AI, achieving data integration and real-time visualization across the entire supply chain. Please feel free to contact us if you have any inquiries.