Invention Grant
- Patent Title: System forecasting and improvement using mean field
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Application No.: US14528563Application Date: 2014-10-30
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Publication No.: US10235686B2Publication Date: 2019-03-19
- Inventor: Wolf Kohn , Zelda B. Zabinsky , Rekha Nanda , Yanfang Shen , Michael Ehrenberg
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Kelly, Holt & Christenson, PLLC
- Agent Christopher J. Volkmann
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06F17/30 ; G06Q10/04 ; G06Q10/08
Abstract:
A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster.
Public/Granted literature
- US20160125434A1 SYSTEM FORECASTING AND IMPROVEMENT USING MEAN FIELD Public/Granted day:2016-05-05
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