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Hi-tech, electronics, and semiconductor companies face unique challenges when they forecast and manage supply chain demand for their products. They can’t always identify end customers or markets. The multi-layered supply chain, including contract manufacturers, distributors, and wholesalers, limits their visibility. Additionally, geopolitics, trade wars, local market conditions, and changing technological needs impact demand management data. Demand Management solutions on AWS use machine learning (ML) algorithms built with internal and external data sources, including macroeconomic data, distribution history, and consumer market trends. By using these solutions, companies can generate high-probability forecasts with “what-if” simulations that help stakeholders visualize capacity planning.
Build Demand Forecasts at Scale.
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Demand forecasting is the process of leveraging historical data and other analytical information to build models that help predict future estimates of customer demand for specific products over a specific period. It helps shape product road map, inventory production and inventory allocation, among other things.
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Start using Solution Accelerators with your free Databricks trial or your existing account.
o9 Solutions offer AI and knowledge-powered planning & decision-making platform, enabling a truly Integrated Business Planning (IBP) capability for driving supply chain agility, revenue growth, and optimal financial performance.
Palantir Foundry empowers critical institutions of varying technical maturity to harness data throughout their operations and power their most critical decisions. Foundry provides seamless data management, analysis, and operational workflows atop a secure, extensible platform.
The solution forecasts future demand based on historical, internal and external demand signals. Decision makers are presented with Forecast predictions, demand drivers, and scenarios based on pricing, promotions, and assortment inputs, to confidently make supply chain and financial decisions.