Invention Grant
- Patent Title: Predicting the severity of an active support ticket
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Application No.: US14491594Application Date: 2014-09-19
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Publication No.: US09785918B2Publication Date: 2017-10-10
- Inventor: Gabriele Bodda , Ryan Currier , Venkitesh Subramanian , Prerna Makanawala , Rei Kasai , Devasena Rajamohan , Amith Manoharan Chithambaram , Terence Chesire , Kiran Karadi
- Applicant: Gabriele Bodda , Ryan Currier , Venkitesh Subramanian , Prerna Makanawala , Rei Kasai , Devasena Rajamohan , Amith Manoharan Chithambaram , Terence Chesire , Kiran Karadi
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Fountainhead Law Group P.C.
- Main IPC: G06Q10/00
- IPC: G06Q10/00

Abstract:
An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.
Public/Granted literature
- US20150347906A1 Predicting the Severity of an Active Support Ticket Public/Granted day:2015-12-03
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