Title:
需要予測パラメータの最適化
Document Type and Number:
Japanese Patent JP7402791
Kind Code:
B2
Abstract:
Embodiments select demand forecast parameters for a demand model for one or more items, receive historical sales data for the items on a per store basis and receive a plurality of seasonality curves for a first item. Embodiments determine a repeatability of each of the seasonality curves using a correlation of each seasonality curve over year to year demand and retain a first seasonality curve based on the repeatability. Embodiments determine a smoothness of the first seasonality curve and determine a sparsity of the first seasonality curve. Based on the determined repeatability, smoothness and sparsity, embodiments determine that the first seasonality curve is reliable and repeat the receiving the plurality of seasonality curves, determining the repeatability, determining the smoothness, and determining the sparsity to determine a plurality of reliable seasonality curves. Embodiments use the demand model and the reliable seasonality curves and determine a demand forecast for the first item.
Inventors:
Popesque, catalin
Re, Brent
Mesquita, Lawrence Leo
Re, Brent
Mesquita, Lawrence Leo
Application Number:
JP2020506920A
Publication Date:
December 21, 2023
Filing Date:
July 24, 2019
Export Citation:
Assignee:
Oracle International Corporation
International Classes:
G06Q30/012
Domestic Patent References:
| JP2006085645A | ||||
| JP2006185230A | ||||
| JP2007164276A |
Attorney, Agent or Firm:
Patent Attorney Fukami Patent Office