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Big Data Analytics in Distribution
The application of big data techniques to analyze and optimize every aspect of the distribution process, from forecasting to route planning.
Implications
The use of large datasets and advanced analytics to optimize distribution networks, improve demand forecasting, and enhance supply chain efficiency.
Example
Example: Walmart uses big data analytics in distribution to predict demand for different products, optimizing stock levels and reducing waste across its supply chain.
Related Terms
Different from traditional distribution methods, which may rely on historical data and intuition, big data analytics provides real-time, data-driven insights.
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