ORDER SOURCING WITH ASYNCHRONOUS COMMUNICATION AND USING OPTIMIZATION FOR LARGE SOURCING NETWORKS
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 predicti...
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Main Authors | , , , , , , , , , , , , , , , , , |
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Format | Patent |
Language | English |
Published |
20.07.2017
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Application Number: US201615154007 |