The decision-making cycle has shifted from a monthly to a weekly level, achieving faster results! We will introduce a case study.
We would like to introduce a case study of implementing o9 at a major global automotive parts supplier. This supplier faced various challenges, including significant variability in the quality and accuracy of forecasts from OEMs, demand forecasting and capacity checks being conducted in Excel with scattered data. After implementation, planners' productivity improved by about 15-25%. Additionally, it brought various effects such as an increase in task automation rates. 【Implementation Effects】 - Demand forecast accuracy improved by 10 percentage points, reaching the 80% range. - Planners' productivity increased by about 15-25%. - Task automation rates improved (estimated at 30% from the initial baseline). - Decision-making cycles accelerated from monthly to weekly levels. *For more details, please download the PDF or feel free to contact us.
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**Main Implementation Content and Scope** - Automatic integration of forecasts from various OEMs enhanced by bottom-up sales forecasting and strengthened trend analysis. - Rapid decomposition of automotive manufacturers' forecasts to the component level, adjusting production volumes by factory. - Utilization of external data providers to calculate take rate forecasts for each component. - Creation of unique forecasts using external drivers such as days of the week and economic data through a driver-based forecasting model utilizing machine learning capabilities. *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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Company information
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, commerce, finance, and sustainability for global enterprises through our groundbreaking planning platform. We provide solutions such as demand forecasting and supply planning utilizing AI, as well as sustainability, achieving data integration across the entire supply chain and real-time visualization. If you have any inquiries, please feel free to contact us.