AI in Predictive Analytics for Supply Chain Optimization
Abstract
This study examines the use of AI in predictive analytics to optimize supply chain operations. A predictive model based on recurrent neural networks (RNNs) is developed to forecast demand, inventory levels, and delivery times. The model reduces operational costs by 22% and improves on-time delivery rates by 15% in simulation scenarios. The paper highlights the potential of AI to enhance efficiency and decision-making in supply chain management.
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