Application of Machine Learning in Logistics
Quelle: https://www.mckinsey.com/business-functions/operations-and-supply-chain/our-insights/the-future-of-supply-chain-machine-learning
Application of machine learning in logistics refers to the use of algorithms that learn from historical and real-time data to optimize logistical processes such as demand forecasting, route planning, inventory management, warehouse operations, and risk management by identifying patterns and enabling data-driven predictions and decisions.
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