The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 17, 2020
Filed:
May. 13, 2016
International Business Machines Corporation, Armonk, NY (US);
Sanjay E. Cheeran, Plano, TX (US);
Ajay A. Deshpande, White Plain, NY (US);
Saurabh Gupta, Irving, TX (US);
Arun Hampapur, Norwalk, CT (US);
Steve Igrejas, Nashua, NH (US);
Ali Koc, White Plains, NY (US);
Pradyumnha G. Kowlani, Foster City, CA (US);
Yingjie Li, Chappaqua, NY (US);
Ding Ding Lin, Beijing, CN;
Xuan Liu, Yorktown Heights, NY (US);
Christopher S. Milite, Oxford, CT (US);
Brian L. Quanz, Yorktown Heights, NY (US);
Vadiraja S. Ramamurthy, Allen, TX (US);
Sachin Sethiya, Billerica, MA (US);
Chek Keong Tan, Danbury, CT (US);
Dahai Xing, White Plains, NY (US);
Michael Yesudas, Plano, TX (US);
Xiaobo Zheng, Shanghai, CN;
International Business Machines Corporation, Armonk, NY (US);
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.