Tensor-Based Demand Forecasting
Quelle: https://towardsdatascience.com/multidimensional-demand-forecasting-using-tensor-decomposition-8ea606ab19ce
Tensor-Based Demand Forecasting is a supply chain forecasting technique that models multi-dimensional data (e.g., time, location, product type) as tensors and applies tensor decomposition methods (e.g., CP or Tucker models) to uncover complex patterns and dependencies, enabling more accurate demand predictions.
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