The decision-making cycle has shifted from monthly to weekly, achieving faster results! Here are some case studies.
Here is a case study of the implementation of 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 verification being conducted in Excel with scattered data. After implementation, planner 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. - Planner productivity increased by about 15-25%. - Task automation rates improved (estimated at 30% based on 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 Contents and Scope** - Automated integration of forecasts from various OEMs enhanced by bottom-up sales forecasting and strengthened trend analysis. - Rapid breakdown 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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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.