ORDER SOURCING WITH ASYNCHRONOUS COMMUNICATION AND USING OPTIMIZATION FOR LARGE SOURCING NETWORKS

• Main Authors: Kowlani Pradyumnha G, Koc Ali, Milite Christopher S, Li Yingjie, Zheng Xiaobo, Deshpande Ajay A, Ramamurthy Vadiraja S, Igrejas Steve, Yesudas Michael, Lin Ding Ding, Tan Chek Keong, Xing Dahai, Liu Xuan, Hampapur Arun, Quanz Brian L, Cheeran Sanjay E, Gupta Saurabh, Sethiya Sachin
• Format: Patent
• Language: English
• Published: 20.07.2017
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A predictive engine on a computer environment comprising a shared pool of configurable computing resources is executed to perform a predictive analysis on data pipelined into the computer environment, the data received from a plurality of sources and in a plurality of different formats, the predictive engine generating a network level cost information based on the predictive analysis on a dynamic and continuous basis. Asynchronous communication comprising the network level cost information from the predictive engine is received and a set of candidate nodes for order fulfillment is generated based on the network level cost information and a defined distance between the set of candidate nodes and a target destination. An optimization engine on the computer environment is invoked that filters the set of candidate nodes. A number of fulfillment nodes that meet one or more of a constraint and preconfigured rule is output.