Patents by Inventor Tim Durkin

Tim Durkin 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).

  • Publication number: 20260057454
    Abstract: A computer-implemented method of detecting account codes and displaying the detected account codes on a graphical user interface comprising receiving, by a recommendation engine of a recommendation system, invoice data comprising supplier-customer information that corresponds to a supplier-customer transaction, wherein the invoice data comprises invoice descriptions and invoice characters, wherein the invoice descriptions and the invoice characters define contexts and patterns; determining, by the recommendation engine, that an amount of the invoice characters is not more than a preset threshold number of characters; in response to determining that the amount of the invoice characters is not more than the preset threshold number of characters, filtering, by the recommendation engine, the invoice descriptions of the invoice data based on predetermined constraints to extract filtered invoice data comprising filtered description lines and to generate a training corpus for a pre-trained Natural Language Processin
    Type: Application
    Filed: October 29, 2025
    Publication date: February 26, 2026
    Inventors: Hongyang Yu, Sandip Mandlecha, Tim Durkin, Neha Arora, Rebecca Mengell, Shashank Dass, Keeyoung Kim
  • Patent number: 12462311
    Abstract: A computer implemented method comprising receiving invoice data comprising at least one of invoice descriptions and invoice characters from user computers, each of the invoice descriptions and invoice characters defines contexts and patterns, wherein each of the invoice data comprising a supplier-customer information that corresponds to a supplier-customer transaction; analyzing the at least one of the invoice descriptions and the invoice characters with corresponding contexts and patterns; determining that amount of the invoice characters is more than a threshold number of characters, for performing: matching invoice data, invoice characters with predefined historical invoice data that corresponds to the same supplier-customer information; computing a similarity score for each of the invoice data; and displaying recommendations including first account codes to map the one or more first account codes to each of the one or more invoice data based on the similarity score; determining that amount of the invoice
    Type: Grant
    Filed: November 29, 2022
    Date of Patent: November 4, 2025
    Assignee: Coupa Software Incorporated
    Inventors: Hongyang Yu, Sandip Mandlecha, Tim Durkin, Neha Arora, Rebecca Mengell, Shashank Dass, Keeyoung Kim
  • Publication number: 20240177244
    Abstract: A computer implemented method comprising receiving invoice data comprising at least one of invoice descriptions and invoice characters from user computers, each of the invoice descriptions and invoice characters defines contexts and patterns, wherein each of the invoice data comprising a supplier-customer information that corresponds to a supplier-customer transaction; analyzing the at least one of the invoice descriptions and the invoice characters with corresponding contexts and patterns; determining that amount of the invoice characters is more than a threshold number of characters, for performing: matching invoice data, invoice characters with predefined historical invoice data that corresponds to the same supplier-customer information; computing a similarity score for each of the invoice data; and displaying recommendations including first account codes to map the one or more first account codes to each of the one or more invoice data based on the similarity score; determining that amount of the invoice
    Type: Application
    Filed: November 29, 2022
    Publication date: May 30, 2024
    Inventors: Hongyang Yu, Sandip Mandlecha, Tim Durkin, Neha Arora, Rebecca Mengell, Shashank Dass, Keeyoung Kim