Optimization of demand forecast parameters
US11080726B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2018 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Jun 21, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.