- 专利标题: Tracking business performance impact of optimized sourcing algorithms
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申请号: US15827458申请日: 2017-11-30
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公开(公告)号: US10937084B2公开(公告)日: 2021-03-02
- 发明人: Shyh-Kwei Chen , Ajay A. Deshpande , Saurabh Gupta , Arun Hampapur , Ali Koc , Yingjie Li , Dingding Lin , Xuan Liu , Christopher S. Milite , Brian L. Quanz , Chek Keong Tan , Dahai Xing , Xiaobo Zheng
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Scully, Scott, Murphy & Presser, P.C.
- 代理商 Joseph Petrokaitis, Esq.
- 主分类号: G06Q30/06
- IPC分类号: G06Q30/06 ; G06Q10/06
摘要:
A method for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.
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