Invention Grant
- Patent Title: Automatically generating inventory-related information forecasts using machine learning techniques
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Application No.: US17502199Application Date: 2021-10-15
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Publication No.: US12026664B2Publication Date: 2024-07-02
- Inventor: Mario Alberto Cornejo Barriere , Babak Farmanesh
- Applicant: Dell Products L.P.
- Applicant Address: US TX Round Rock
- Assignee: Dell Products L.P.
- Current Assignee: Dell Products L.P.
- Current Assignee Address: US TX Round Rock
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06Q10/087
- IPC: G06Q10/087 ; G06F17/18 ; G06N5/022

Abstract:
Methods, apparatus, and processor-readable storage media for automatically generating inventory-related information forecasts using machine learning techniques are provided herein. An example computer-implemented method includes training a machine learning model for calculating weights for multiple statistical forecasts for inventory-related data by processing historical data pertaining to at least a portion of the multiple statistical forecasts; generating two or more statistical forecasts for inventory-related data associated with an enterprise by processing data pertaining to multiple system parts across multiple geographic granularities associated with the enterprise; calculating weights for the generated statistical forecasts by processing data associated with at least a portion of the generated statistical forecasts using the trained machine learning model; generating at least one composite inventory-related forecast by combining the generated statistical forecasts in accordance with the calculated weights; and performing automated actions based on the at least one composite inventory-related forecast.
Public/Granted literature
- US20230122754A1 AUTOMATICALLY GENERATING INVENTORY-RELATED INFORMATION FORECASTS USING MACHINE LEARNING TECHNIQUES Public/Granted day:2023-04-20
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