Invention Grant
- Patent Title: Scalable regression for retail panel data
- Patent Title (中): 零售面板数据的可扩展回归
-
Application No.: US13101276Application Date: 2011-05-05
-
Publication No.: US08751289B2Publication Date: 2014-06-10
- Inventor: Yevgeniy Popkov , Su-Ming Wu , Manish Gupte
- Applicant: Yevgeniy Popkov , Su-Ming Wu , Manish Gupte
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kraguljac Law Group, LLC
- Main IPC: G06Q10/00
- IPC: G06Q10/00

Abstract:
Systems, methods, and other embodiments associated with scalable regression for retail panel are described. In one embodiment, a method includes performing a regression that estimates elasticity of demand for a retail item, wherein the regression is performed on a transformation of a demand model that does not include variables associated with base demand or seasonality. In a subsequent processing step, the method includes estimating a base demand and seasonality for the retail item based, at least in part, on the estimated elasticity of demand. The method may be performed in a database that stores retail panel data for the retail item and other retail items.
Public/Granted literature
- US20120284084A1 SCALABLE REGRESSION FOR RETAIL PANEL DATA Public/Granted day:2012-11-08
Information query