Abstract: Systems and methods, and computer readable media for inventory demand estimation of a region are disclosed. The method receives an item identifier associated with an item for demand estimation. The method may then access overall demand forecast data for the item and identify geographical regions, and evaluate a demand share estimate of the item in the geographical regions. The method may also determine a set of item identifiers associated with a segment of items related to the item and determine the demand estimation for the segment of items. The method may then generate demand estimation of the item at the geographical regions using a Bayesian framework with demand share of the item and demand estimation of the segment of items in a geographical region, and overall demand forecast data for the item as input. The method may use the generated demand estimation at a region to generate demand estimation in other encompassing geographical regions.

Abstract: The present disclosure provides a computerized method for item distribution, including retrieving, from a data structure, an inventory of a SKU at each of a plurality of destinations; determining a buffer of each of the destinations; determining an average buffer across the destinations; identifying at least one high utilization destination and at least one low utilization destination based on differences from the average buffer; and redistributing a network inventory by, iteratively and for each of the high utilization destinations: finding, in the data structure, a low utilization destination having a common attribute with the high utilization destination; and sending, to a user device for display, an instruction to transfer a redistribution quantity of the SKU from the low utilization destination to the high utilization destination.