Order sourcing with asynchronous communication and using optimization for large sourcing networks

US10839338B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Sanjay E. Cheeran · Plano, US
• Ajay A. Deshpande · White Plains, US
• Saurabh Gupta · Delhi, IN
• Arun Hampapur · Norwalk, US
• Steve Igrejas · Newton, US
• Ali Koc · White Plains, US
• Pradyumnha G. Kowlani · Foster City, US
• Yingjie Li · Elgin, US
• Ding Ding Lin · Beijing, CN
• Xuan Liu · Yorktown Heights, US
• Christopher S. Milite · Oxford, US
• Brian Leo Quanz · Yorktown Heights, US
• Vadiraja Ramamurthy · McKinney, US
• Sachin Sethiya · Billerica, US
• Chek Keong Tan · Danbury, US
• Dahai Xing · White Plains, US
• Michael Yesudas · Plano, US
• Xiaobo Zheng · Shanghai, CN

Key dates

• Filing date: May 13, 2016
• Grant date: Nov 17, 2020
• Expiry date: Apr 13, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L43/0876
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

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.