Patents by Inventor Raghunandan Somaraju

Raghunandan Somaraju 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).

  • MATCHING PAST POST-APPROVED TRANSACTIONS WITH PAST PRE-APPROVED TRANSACTIONS USING MACHINE LEARNING SYSTEMS
    Publication number: 20220405701
    Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.
    Type: Application
    Filed: August 23, 2022
    Publication date: December 22, 2022
    Inventors: Maggie Mae Joy, Daniel Benson, Fang-Kuey Chang, Kiran Ratnapu, Ankit Narang, Shoan Jain, Raghunandan Somaraju, Prasanna Kumar, Angela Welchel, Mikin Faldu, Dipeshkumar Vasantbhai Prajapati, Ketan Vasantkumar Darji, Rucha Apte
  • Matching past post-approved transactions with past pre-approved transactions using machine learning systems
    Patent number: 11449827
    Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.
    Type: Grant
    Filed: November 6, 2019
    Date of Patent: September 20, 2022
    Assignee: Coupa Software Incorporated
    Inventors: Maggie Mae Joy, Daniel Benson, Fang-Kuey Chang, Kiran Ratnapu, Ankit Narang, Shoan Jain, Raghunandan Somaraju, Prasanna Kumar, Angela Welchel, Mikin Faldu, Dipeshkumar Vasantbhai Prajapati, Ketan Vasantkumar Darji, Rucha Apte
  • MATCHING PAST POST-APPROVED TRANSACTIONS WITH PAST PRE-APPROVED TRANSACTIONS USING MACHINE LEARNING SYSTEMS
    Publication number: 20200380455
    Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.
    Type: Application
    Filed: November 6, 2019
    Publication date: December 3, 2020
    Inventors: Maggie Mae Joy, Daniel Benson, Fang-Kuey Chang, Kiran Ratnapu, Ankit Narang, Shoan Jain, Raghunandan Somaraju, Prasanna Kumar, Angela Welchel, Mikin Faldu, Dipeshkumar Vasantbhai Prajapati, Ketan Vasantkumar Darji, Rucha Apte