Invention Grant
- Patent Title: Training a machine learning algorithm to predict when computing devices may have issues
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Application No.: US16944251Application Date: 2020-07-31
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Publication No.: US12165076B2Publication Date: 2024-12-10
- Inventor: Lokesh Venugopal , Amit Sawhney , Sachin Jayant Deo
- 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
- Agent Krishnendu Gupta; Deepika Bhayana; Nikhil Patel
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00

Abstract:
In some examples, a server may use machine learning to determine, based on service requests associated with multiple computing devices, that a component included in the multiple computing devices is predicted to fail at a particular date. The server may use the machine learning to determine, based on the particular date and an expiration date of a warranty associated with the computing devices, that a customer may initiate a service request on a predicted service date. The machine learning may determine recommended solutions including purchasing an extended warranty, purchasing extended services (e.g., on-site service), purchasing a depot clinic service, or trading in the multiple computing devices for newer computing devices. In response to receiving a purchase order to purchase at least one of the recommended solutions, the server may initiate at least one of the recommended solutions.
Public/Granted literature
- US20220036214A1 TRAINING A MACHINE LEARNING ALGORITHM TO PREDICT WHEN COMPUTING DEVICES MAY HAVE ISSUES Public/Granted day:2022-02-03
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