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Supply Chain Analytics - Capgemini

The way we do itBusiness AnalyticsSupply Chain AnalyticsSupply Chain Analytics aims to improve operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational and tactical encompasses virtually the complete value Chain : sourcing, manufacturing, distribution and Chain Challenges Lack of synchronization between planning and execution. Lack of real-time data visibility, with no common view across all businesses and channels. Irregular reviews of safety stock levels, causing frequent stock-outs or excess inventory.

Our statistical analysis makes use of a range of quantitative and exploratory techniques. Predictive modeling techniques help us deliver dynamic models to forecast product demand. We also use optimization models and client-identified tools to find an appropriate strategy for complex operational problems with multiple constraints.

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  Statistical, Predictive

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