Patents by Inventor Richard Gigliotti

Richard Gigliotti 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).

  • Machine learning technologies to predict opportunities for special pricing agreements
    Patent number: 11966934
    Abstract: Artificial Intelligence (AI) based methods and systems for predicting opportunities for special pricing agreements (SPA) are disclosed herein. An example method includes receiving a user input indicating a stock keeping unit (SKU) and a customer name, and accessing an SPA database to determine (i) a customer type, (ii) a customer address, and (iii) any historical SPAs corresponding to the customer. The example method further includes predicting, by utilizing a machine learning (ML) model, a set of SPA opportunities that each have a respective cost and a respective confidence interval and that satisfy a confidence interval threshold. The example method further includes determining a first SPA opportunity corresponding to a highest respective confidence interval, and a second SPA opportunity corresponding to a lowest cost of each SPA opportunity in the set of SPA opportunities; and transmitting a notification of the first and second SPA opportunities for display to a user.
    Type: Grant
    Filed: May 2, 2022
    Date of Patent: April 23, 2024
    Assignee: WESCO DISTRIBUTION, INC.
    Inventors: Rafael Da Matta Navarro, Shashi Dande, Juliana Kostrinsky, Benjamin Albu, Richard Gigliotti, Edward Cerny, Trevor Baumel
  • MACHINE LEARNING TECHNOLOGIES TO PREDICT OPPORTUNITIES FOR SPECIAL PRICING AGREEMENTS
    Publication number: 20230351420
    Abstract: Artificial Intelligence (AI) based methods and systems for predicting opportunities for special pricing agreements (SPA) are disclosed herein. An example method includes receiving a user input indicating a stock keeping unit (SKU) and a customer name, and accessing an SPA database to determine (i) a customer type, (ii) a customer address, and (iii) any historical SPAs corresponding to the customer. The example method further includes predicting, by utilizing a machine learning (ML) model, a set of SPA opportunities that each have a respective cost and a respective confidence interval and that satisfy a confidence interval threshold. The example method further includes determining a first SPA opportunity corresponding to a highest respective confidence interval, and a second SPA opportunity corresponding to a lowest cost of each SPA opportunity in the set of SPA opportunities; and transmitting a notification of the first and second SPA opportunities for display to a user.
    Type: Application
    Filed: May 2, 2022
    Publication date: November 2, 2023
    Inventors: Rafael Da Matta Navarro, Shashi Dande, Juliana Kostrinsky, Benjamin Albu, Richard Gigliotti, Edward Cerny, Trevor Baumel