Patents by Inventor Vishal D. Kelkar

Vishal D. Kelkar 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).

  • Predictive queue control and allocation
    Patent number: 11366670
    Abstract: A predictive queue control and allocation system includes a queue and a queue control server communicatively coupled to the queue. The queue includes a first and second allocation of queue locations. The queue stores a plurality of resources. The queue control server includes an interface and a queue control engine implemented by a processor. The interface monitors the plurality of resources before the plurality of resources are stored in the queue. The queue control engine predicts that one or more conditions indicate that a queue overflow will occur in the first allocation of queue locations. The queue control engine prioritizes the plurality of resources being received by the queue. The queue control engine may apply a machine learning technique to the plurality of resources. The queue control engine transfers the plurality of resources prioritized by the machine learning technique.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: June 21, 2022
    Assignee: Bank of America Corporation
    Inventors: Anuj Sharma, Gaurav Srivastava, Vishal D. Kelkar
  • PREDICTIVE QUEUE CONTROL AND ALLOCATION
    Publication number: 20200201647
    Abstract: A predictive queue control and allocation system includes a queue and a queue control server communicatively coupled to the queue. The queue includes a first and second allocation of queue locations. The queue stores a plurality of resources. The queue control server includes an interface and a queue control engine implemented by a processor. The interface monitors the plurality of resources before the plurality of resources are stored in the queue. The queue control engine predicts that one or more conditions indicate that a queue overflow will occur in the first allocation of queue locations. The queue control engine prioritizes the plurality of resources being received by the queue. The queue control engine may apply a machine learning technique to the plurality of resources. The queue control engine transfers the plurality of resources prioritized by the machine learning technique.
    Type: Application
    Filed: February 28, 2020
    Publication date: June 25, 2020
    Inventors: Anuj Sharma, Gaurav Srivastava, Vishal D. Kelkar
  • Predictive queue control and allocation
    Patent number: 10606604
    Abstract: A predictive queue control and allocation system includes a queue and a queue control server communicatively coupled to the queue. The queue includes a first and second allocation of queue locations. The queue stores a plurality of resources. The queue control server includes an interface and a queue control engine implemented by a processor. The interface monitors the plurality of resources before the plurality of resources are stored in the queue. The queue control engine predicts that one or more conditions indicate that a queue overflow will occur in the first allocation of queue locations. The queue control engine prioritizes the plurality of resources being received by the queue. The queue control engine may apply a machine learning technique to the plurality of resources. The queue control engine transfers the plurality of resources prioritized by the machine learning technique.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: March 31, 2020
    Assignee: Bank of America Corporation
    Inventors: Anuj Sharma, Gaurav Srivastava, Vishal D. Kelkar
  • Predictive Queue Control and Allocation
    Publication number: 20190065206
    Abstract: A predictive queue control and allocation system includes a queue and a queue control server communicatively coupled to the queue. The queue includes a first and second allocation of queue locations. The queue stores a plurality of resources. The queue control server includes an interface and a queue control engine implemented by a processor. The interface monitors the plurality of resources before the plurality of resources are stored in the queue. The queue control engine predicts that one or more conditions indicate that a queue overflow will occur in the first allocation of queue locations. The queue control engine prioritizes the plurality of resources being received by the queue. The queue control engine may apply a machine learning technique to the plurality of resources. The queue control engine transfers the plurality of resources prioritized by the machine learning technique.
    Type: Application
    Filed: August 22, 2017
    Publication date: February 28, 2019
    Inventors: Anuj Sharma, Gaurav Srivastava, Vishal D. Kelkar