- 专利标题: TRAINING A MACHINE LEARNING ALGORITHM TO PREDICT WHEN COMPUTING DEVICES MAY HAVE ISSUES
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申请号: US16944251申请日: 2020-07-31
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公开(公告)号: US20220036214A1公开(公告)日: 2022-02-03
- 发明人: Lokesh Venugopal , Amit Sawhney , Sachin Jayant Deo
- 申请人: Dell Products L. P.
- 申请人地址: US TX Round Rock
- 专利权人: Dell Products L. P.
- 当前专利权人: Dell Products L. P.
- 当前专利权人地址: US TX Round Rock
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06N20/00
摘要:
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.
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