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公开(公告)号：US20170213168A1
公开(公告)日：2017-07-27
申请号：US15064844
申请日：2016-03-09
申请人： Wipro Limited
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0635 , G06Q10/0637
摘要： A method for optimizing risks in supply chain networks is disclosed. The method includes categorizing, via a risk optimizing device, contextually relevant keywords derived from a user query into a risk category selected from a plurality of risk categories; identifying, via the risk optimizing device, a risk in the supply chain network based on the contextually relevant keywords and the risk category; creating, via the risk optimizing device, a plurality of risk association rules representative of interdependencies of the risk with at least one associated risk; assigning, via the risk optimizing device, priority to each of the plurality of risk association rules based on impact of interdependent risks within corresponding risk association rules; and optimizing a risk association rule assigned high priority within the plurality of risk association rules by removing the risk or one of the at least one associated risk from the risk association rule.
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公开(公告)号：US10515315B2
公开(公告)日：2019-12-24
申请号：US15086369
申请日：2016-03-31
申请人： Wipro Limited
摘要： This disclosure relates to predicting and managing supply chain network risks. In one embodiment, a processor-implemented method obtains identifiers for supply chain contributors and parameters; and a query. The method performs a natural language processing algorithm on the query to extract text components, which it analyzes to identify supply chain component clusters and risk identifiers. It also includes executing a machine learning technique for learning of the risk identifiers and generating co-occurrence rules between the risk identifiers, as well as associated rule support and rule confidence parameters. It further includes sorting the co-occurrence rules to generate a prioritized rules list, and generating a risk prediction model for the supply chain using the prioritized rules list, using a classifier algorithm. The method further includes training the risk prediction model using a machine learning techniques for incremental learning, and generating a supply chain element modification using the trained risk prediction model.
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3.发明申请公开(公告)号：US20170154286A1
公开(公告)日：2017-06-01
申请号：US14993846
申请日：2016-01-12
申请人： Wipro Limited
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0635
摘要： This disclosure relates generally to supply chain networks and more particularly to methods and systems for identifying risks and associated root causes in supply chain networks. In one embodiment, the method includes receiving, via a risk analyzing device, a user query; performing, via the risk analyzing device, natural language processing and text analysis on the user query to derive contextually relevant keywords from the user query; categorizing, via the risk analyzing device, the contextually relevant keywords into a risk category selected from a plurality of risk categories; identifying, via the risk analyzing device, a risk in the supply chain network based on the contextually relevant keywords and the risk category; and detecting, via the risk analyzing device, a root cause from amongst a plurality of root causes associated with the risk using a causal analysis.
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公开(公告)号：US09929997B2
公开(公告)日：2018-03-27
申请号：US14870876
申请日：2015-09-30
申请人： Wipro Limited
CPC分类号： H04L51/26
摘要： The present disclosure relates to a method for dynamically prioritizing electronic messages in an electronic device. In an embodiment an electronic message prioritization unit configured in an electronic device receives one or more electronic messages from other electronic device. The prioritization unit analyzes each of the received electronic messages using language and text processing logic to identify prioritization parameters. The prioritization unit assigns a value in a predetermined order to each of the prioritization parameters based on a predefined prioritization order of the prioritization parameters. The electronic message prioritization unit prioritizes the electronic messages based on the assigned values.
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公开(公告)号：US20180032971A1
公开(公告)日：2018-02-01
申请号：US15270953
申请日：2016-09-20
申请人： Wipro Limited
摘要： This disclosure relates generally to incident ticket management, and more particularly to system and method for predicting relevant resolution for an incident ticket. In one embodiment, a method is provided for predicting a relevant resolution for an incident ticket. The method comprises receiving the incident ticket, analyzing the incident ticket to determine at least one query Ngram and at least one category, determining a similar past incident ticket based on a comparison of the at least one query Ngram and at least one Ngram derived from each of a plurality of past incident tickets belonging to the at least one category, and predicting the relevant resolution based on one or more resolution mapped to the similar past incident ticket.
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