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dynamic Bayesian network

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DataFunTalk
DataFunTalk
Jul 31, 2023 · Operations

Applying Causal Inference to Inventory Management: Demand Forecasting and Strategy Implementation

This article explores how causal inference techniques, including dynamic Bayesian networks and time‑series models, can be used to improve demand forecasting and replenishment strategies in inventory management, offering both theoretical concepts and practical case studies for operational decision‑making.

causal inferencedemand forecastingdynamic Bayesian network
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Applying Causal Inference to Inventory Management: Demand Forecasting and Strategy Implementation