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US Patent 11928616 Method and system for hierarchical forecasting

Patent 11928616 was granted and assigned to Kinaxis on March, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Kinaxis
Kinaxis
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Current Assignee
Kinaxis
Kinaxis
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119286160
Patent Inventor Names
Brian Keng0
Kanchana Padmanabhan0
Date of Patent
March 12, 2024
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Patent Application Number
166477480
Date Filed
September 18, 2018
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Patent Primary Examiner
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Gurkanwaljit Singh
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Patent abstract

A system and method for generation of automated forecasts for a subject based on one or more input parameters. The subject located at an end node of a hierarchy. The method includes: receiving historical data associated with the subject; determining the sufficiency of the historical data based on a feasibility of building a machine learning model to generate a forecast with a predetermined level of accuracy using the historical data; building the machine learning model using the historical data when there is sufficiency of the historical data; building the machine learning model using historical data associated with an ancestor node on the hierarchy when there is not sufficiency of the historical data; generating a forecast for the subject using the machine learning model based on the one or more input parameters; and outputting the forecast.

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