Patents by Inventor Sanjay E. Cheeran

Sanjay E. Cheeran has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Order sourcing with asynchronous communication and using optimization for large sourcing networks
    Patent number: 10839338
    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.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: November 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Sanjay E. Cheeran, Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Steve Igrejas, Ali Koc, Pradyumnha G. Kowlani, Yingjie Li, Ding Ding Lin, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Vadiraja S. Ramamurthy, Sachin Sethiya, Chek Keong Tan, Dahai Xing, Michael Yesudas, Xiaobo Zheng
  • ORDER SOURCING WITH ASYNCHRONOUS COMMUNICATION AND USING OPTIMIZATION FOR LARGE SOURCING NETWORKS
    Publication number: 20170206481
    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.
    Type: Application
    Filed: May 13, 2016
    Publication date: July 20, 2017
    Inventors: Sanjay E. Cheeran, Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Steve Igrejas, Ali Koc, Pradyumnha G. Kowlani, Yingjie Li, Ding Ding Lin, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Vadiraja S. Ramamurthy, Sachin Sethiya, Chek Keong Tan, Dahai Xing, Michael Yesudas, Xiaobo Zheng