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What is Big Data Analytics in Supply Chain Forecasting about?

This document discusses using machine learning and predictive analytics for demand forecasting in supply chain management. It provides an overview of different data sources in supply chains and commonly used demand forecasting techniques like time series analysis, regression modeling, neural networks, and clustering. The document reviews applications of these techniques across various industries and highlights that while neural networks and time series models are widely adopted, research gaps remain around

Author

goutam1235

Language

EN