Patents by Inventor Brunda Panthula

Brunda Panthula 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).

  • Dynamic inventory segmentation with predicted prediction time window
    Patent number: 11270258
    Abstract: A machine learning system for dynamically segmenting inventory includes a memory having instructions therein, and at least one processor configured to execute the instructions to, using a reinforcement learning agent (“RLA”): determine, based at least in part on first inventory data corresponding to at least a portion of a first prediction time window for the RLA, a second prediction time window for the RLA; segment a first supply of inventory, based at least in part on the second prediction time window and at least a portion of the first inventory data; determine, based at least in part on second inventory data corresponding to at least a portion of the second prediction time window, a third prediction time window for the RLA; and segment a second supply of inventory, based at least in part on the third prediction time window and at least a portion of the second inventory data.
    Type: Grant
    Filed: January 23, 2020
    Date of Patent: March 8, 2022
    Assignee: International Business Machines Corporation
    Inventors: Sudhanshu Sekher Sar, Balakrishnan Rajenderan, Brunda Panthula, Layana Abraham
  • Dynamic Inventory Segmentation with Predicted Prediction Time Window
    Publication number: 20210233012
    Abstract: A machine learning system for dynamically segmenting inventory includes a memory having instructions therein, and at least one processor configured to execute the instructions to, using a reinforcement learning agent (“RLA”): determine, based at least in part on first inventory data corresponding to at least a portion of a first prediction time window for the RLA, a second prediction time window for the RLA; segment a first supply of inventory, based at least in part on the second prediction time window and at least a portion of the first inventory data; determine, based at least in part on second inventory data corresponding to at least a portion of the second prediction time window, a third prediction time window for the RLA; and segment a second supply of inventory, based at least in part on the third prediction time window and at least a portion of the second inventory data.
    Type: Application
    Filed: January 23, 2020
    Publication date: July 29, 2021
    Inventors: Sudhanshu Sekher Sar, Balakrishnan Rajenderan, Brunda Panthula, Layana Abraham