Using AI in conjunction with Causal Decision Theory (CDT) can optimize restocking decisions by predicting demand and balancing inventory risks. This approach, demonstrated with supply chain logistics, provides a data-driven method to prioritize products based on their demand and stock levels, using quantile regression to forecast potential outcomes.
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