Lin He

US Patent:

20200104771, Apr 2, 2020

Filed:

Sep 28, 2018

Appl. No.:

16/145470

Inventors:

- Redwood Shores CA, US
Ming LEI - Ellicott City MD, US
Lin HE - Johns Creek GA, US

International Classification:

G06Q 10/06
G06Q 30/02

Abstract:

Embodiments select demand forecast parameters for a demand model for a first item. Embodiments receive historical sales data for a plurality of items on a per store basis and receive a plurality of seasonality curves for the first item of the plurality of items, each seasonality curve corresponding to a different pooling level for the first item. Embodiments determine a correlation for each of the seasonality curves at each pooling level and determine a root mean squared error (“RMSE”) for each determined correlation. Embodiments determine a score for each pooling level, the score based on the corresponding correlation, RMSE and a penalty and select one of the seasonality curves based on the determined scores. Embodiments use the demand model and the selected seasonality curve to determine a demand forecast for the first item, the demand forecast including a prediction of future sales data for the first item.