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公开(公告)号:US11544762B2
公开(公告)日:2023-01-03
申请号:US16773727
申请日:2020-01-27
Applicant: salesforce.com, inc.
Inventor: Yixin Mao , Sitaram Asur , Na Cheng , Gary Brandeleer , Kavya Murali , Nicholas Beng Tek Geh
Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.
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公开(公告)号:US20190236504A1
公开(公告)日:2019-08-01
申请号:US15882751
申请日:2018-01-29
Applicant: Salesforce.Com, Inc.
Inventor: Roojuta Lalani , Tyler Shopshire , Kavya Murali , Neeraj Ahuja , Sudhakara Reddy Peddi
IPC: G06Q10/06
CPC classification number: G06Q10/06315 , G06Q10/087
Abstract: A method for technical field service inventory management has been developed. A software platform manages product inventory for use by a field service technician. The platform creates objects for a work order, a product required, a location, an address/appointment, a product item, a product item transaction and a product item consumed. The product item consumed object is used to automatically update the status of product inventory as the product is used by the field service technician.
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公开(公告)号:US20210150610A1
公开(公告)日:2021-05-20
申请号:US16773727
申请日:2020-01-27
Applicant: salesforce.com, inc.
Inventor: Yixin Mao , Sitaram Asur , Na Cheng , Gary Brandeleer , Kavya Murali , Nicholas Beng Tek Geh
Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.
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公开(公告)号:US10650337B2
公开(公告)日:2020-05-12
申请号:US15882751
申请日:2018-01-29
Applicant: salesforce.com, inc.
Inventor: Roojuta Lalani , Tyler Shopshire , Kavya Murali , Neeraj Ahuja , Sudhakara Reddy Peddi
Abstract: A method for technical field service inventory management has been developed. A software platform manages product inventory for use by a field service technician. The platform creates objects for a work order, a product required, a location, an address/appointment, a product item, a product item transaction and a product item consumed. The product item consumed object is used to automatically update the status of product inventory as the product is used by the field service technician.
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