Patents by Inventor Sri Naga Venkata Sai Yaswanth Meduri

Sri Naga Venkata Sai Yaswanth Meduri 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).

  • Methods and apparatus for automatic sale forecasts using machine learning processes
    Patent number: 12020191
    Abstract: This application relates to employing trained machine learning processes to predict sales across various sale channels. For example, a computing device may generate features based on historical sales information, and trains the machine learning processes based on the generated features. In some examples, the computing device determines fixed cost effects from selling items across various sales channels, and adjusts the sales information based on the fixed cost effects. The computing device also generates features based on the adjusted sales. The computing device may apply the trained machine learning processes to sales information for one or more items to predict the sales of one or more items across one or more sales channels during a future temporal period. In some examples, the trained machine learning processes generate a ranking of items for a sales channel based on the output generated from the trained machine learning processes.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: June 25, 2024
    Assignee: Walmart Apollo, LLC
    Inventors: Tulika Dutta, Sri Naga Venkata Sai Yaswanth Meduri, Ishant Virendra Wankhede
  • METHODS AND APPARATUS FOR AUTOMATIC SALE FORECASTS USING MACHINE LEARNING PROCESSES
    Publication number: 20230281531
    Abstract: This application relates to employing trained machine learning processes to predict sales across various sale channels. For example, a computing device may generate features based on historical sales information, and trains the machine learning processes based on the generated features. In some examples, the computing device determines fixed cost effects from selling items across various sales channels, and adjusts the sales information based on the fixed cost effects. The computing device also generates features based on the adjusted sales. The computing device may apply the trained machine learning processes to sales information for one or more items to predict the sales of one or more items across one or more sales channels during a future temporal period. In some examples, the trained machine learning processes generate a ranking of items for a sales channel based on the output generated from the trained machine learning processes.
    Type: Application
    Filed: January 28, 2022
    Publication date: September 7, 2023
    Inventors: Tulika Dutta, Sri Naga Venkata Sai Yaswanth Meduri, Ishant Virendra Wankhede