Automatically generating inventory-related information forecasts using machine learning techniques
Abstract:
Methods, apparatus, and processor-readable storage media for automatically generating inventory-related information forecasts using machine learning techniques are provided herein. An example computer-implemented method includes training a machine learning model for calculating weights for multiple statistical forecasts for inventory-related data by processing historical data pertaining to at least a portion of the multiple statistical forecasts; generating two or more statistical forecasts for inventory-related data associated with an enterprise by processing data pertaining to multiple system parts across multiple geographic granularities associated with the enterprise; calculating weights for the generated statistical forecasts by processing data associated with at least a portion of the generated statistical forecasts using the trained machine learning model; generating at least one composite inventory-related forecast by combining the generated statistical forecasts in accordance with the calculated weights; and performing automated actions based on the at least one composite inventory-related forecast.
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