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Forecasting in an Uncertain World
In this paper we discuss approaches to demand forecasting that use artificial intelligence
and machine learning approaches that combine all available data, external and internal
which when combined with operational planning simulation (the Digital Twin) will help
adaptively synchronize the demand and supply in omni-channel supply- and distribution
chains.
Simulation-based optimization to identify the right facilities to serve the right
demands most effectively and factor human biases. Demand clustering by zip codes and
channel-types will allow for planning at a granular fulfillment type and reduce the final cost of fulfillment.
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