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Tracking business performance impact of optimized sourcing algorithms

机译:跟踪优化采购算法的业务绩效影响

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.
机译:一种方法,用于持续跟踪订单采购系统和算法的业务绩效影响,该算法决定如何通过将订单的项目分配给履行网络中的节点项目,例如商店,分发中心和第三方物流 - 提供自动化根本原因分析和解决方案建议,以预先义的KPI监测产生的业务问题。商业智能(BI)仪表板架构运行:1)一个监控模块,不断监控商业KPI并创建异常警报; 2)一种根本原因分析模块,专为每个业务问题而设计,以提供实时诊断和解决方案建议。根原因分析模块接收创建的警报,并在分析引擎下进行根本原因分析的触发器。 BI仪表板和用户界面可以可视化KPI性能和根本原因分析结果。

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