Patents by Inventor Abhijeet Gulati

Abhijeet Gulati 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: 20220050830
    Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.
    Type: Application
    Filed: November 1, 2021
    Publication date: February 17, 2022
    Applicant: Mitchell International, Inc.
    Inventors: Scott Baierl, Abhijeet Gulati, Jerry Gastineau, Penny Genovese, Vicki Gurner, John Strong, Sarika Gupta
  • Publication number: 20220035801
    Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.
    Type: Application
    Filed: July 30, 2020
    Publication date: February 3, 2022
    Applicant: Mitchell International, Inc.
    Inventors: Scott Baierl, Abhijeet Gulati, Jerry Gastineau, Penny Genovese, Vicki Gurner, John Strong, Sarika Gupta
  • Publication number: 20220019858
    Abstract: Systems and methods for managing predictions for vehicle repair estimates are provided. A method includes providing one or more images of a damaged vehicle as input to a machine learning model, wherein the machine learning model has been trained with images of other damaged vehicles and corresponding vehicle operations, wherein each of the vehicle operations represents the repair or replacement of a vehicle component; receiving output of the machine learning model responsive to the input, wherein the output comprises a plurality of values each corresponding to one of a plurality of the vehicle operations; determining a confidence metric based on the values; making a comparison between the confidence metric and a confidence threshold value; and selecting the one of the plurality of the vehicle operations corresponding to the highest value as a predicted operation based on the comparison.
    Type: Application
    Filed: July 15, 2020
    Publication date: January 20, 2022
    Inventors: Joseph Hyland, Abhijeet Gulati, Dmitri Soloviev, Chenlei Zhang, Prarit Lamba
  • Publication number: 20210097622
    Abstract: Automated vehicle repair estimation by random ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a vehicle damage object that includes a plurality of metadata objects of the damaged vehicle; fragmenting the object into fragments each including at least one of the metadata objects; providing each of the fragments to a respective artificial intelligence function; receiving a respective vehicle repair recommendation set from each of the artificial intelligence functions, wherein each of the vehicle repair recommendation sets identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; selecting a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the selected recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Applicant: Mitchell International, Inc.
    Inventors: Abhijeet Gulati, Joseph Hyland, Chenlei Zhang
  • Publication number: 20210097505
    Abstract: Automated vehicle repair estimation by preferential ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from each source of a plurality of the sources, a respective vehicle repair recommendation set for a damaged vehicle, wherein each vehicle repair recommendation set identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; determining a respective source rank of each source from a plurality of the source ranks; generating a composite vehicle repair recommendation set that identifies the recommended vehicle repair operations in an order determined according to the source ranks of the respective sources; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Applicant: Mitchell International, Inc.
    Inventor: Abhijeet Gulati
  • Publication number: 20210097489
    Abstract: Automated vehicle repair estimation by voting ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets, each identifying (i) at least one component of a damaged vehicle, (ii) a recommended vehicle repair operation for each identified component, and (iii) a score and/or confidence percentage for each operation; when a plurality of the sets identify recommended operations for one of the components, selecting the operation having the highest score, and unselecting the other operations for the component; generating a composite vehicle repair recommendation set, wherein the composite vehicle repair recommendation set identifies the selected recommended vehicle repair operation, and wherein the composite vehicle repair recommendation set does not identify the unselected recommended vehicle repair operation; and providing the composite vehicle repair recommendation set to one or more claims management systems.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Applicant: Mitchell International, Inc.
    Inventor: Abhijeet Gulati
  • Publication number: 20210097504
    Abstract: Automated vehicle repair estimation by aggregate ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets for a damaged vehicle, wherein each of the vehicle repair recommendation sets identifies at least one recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; aggregating a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the aggregated recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Applicant: Mitchell International, Inc.
    Inventors: Abhijeet Gulati, Olivier Baudoux, Sathish Venkatesan, GeengYee Chong, Dune Pagaduan
  • Publication number: 20210097506
    Abstract: Automated vehicle repair estimation by adaptive ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from a plurality of sources, vehicle repair recommendation sets identifying recommended vehicle repair operations for damaged vehicle components; selecting, by a trained artificial intelligence function, one of the operations for each component based on a plurality of learned states; generating a composite vehicle repair recommendation set identifying the selected operation; providing the composite vehicle repair recommendation set to one or more claims management systems; and repeatedly retraining the trained artificial intelligence function by adjusting the learned states according to the vehicle damage objects received, and the corresponding composite vehicle repair recommendation generated, since the last retraining of the trained artificial intelligence function.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Applicant: Mitchell International, Inc.
    Inventors: Abhijeet Gulati, Joseph Hyland
  • Publication number: 20200104805
    Abstract: A method, non-transitory computer readable medium, and an apparatus for automated estimation of repair data includes applying a first generated artificial intelligence model on a received vehicle damage image associated with an electronic claim to identify damaged component(s) on a vehicle without using any metadata. A heat map analysis is performed on the received actual vehicle damage image to identify a damage severity value associated with at least one of the identified damaged component(s). A second generated artificial intelligence model is applied on the received actual vehicle damage image and the damage severity value associated with the identified damaged component(s) to determine repair data and a repair-or-replace designation. The determined repair data and the determined repair-or-replace designation for at least one of the identified one or more damaged components is provided in response to the received actual vehicle damage image associated with the electronic claim.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 2, 2020
    Inventors: Abhijeet Gulati, Ravi Nemani, Joseph Hyland, Prarit Lamba
  • Publication number: 20190114597
    Abstract: A method, non-transitory computer readable medium and apparatus for providing predictive estimates of repair lines includes receives vehicle damage data including a plurality of images, videos, and vehicle diagnostic data. One or more damages are identified based on the received vehicle damage data. One or more repair parts data and labor data are determined for the identified one or more damages based on historical repair parts data and historical labor data. The determined one or more repair parts data and the labor data is provided via a graphical user interface.
    Type: Application
    Filed: October 16, 2018
    Publication date: April 18, 2019
    Inventors: Abhijeet Gulati, Ravi Nemani, Niv Genchel, Palak Samel, Don Carron, Jason Farnsworth, Rahul Bhuwal, Christopher Allan, Kenny Crumpler
  • Publication number: 20190114716
    Abstract: Methods, non-transitory computer readable media, and computing apparatus that assist with analyzing data includes obtaining vehicle data from one of the plurality of data sources in a plurality of formats. The obtained vehicle data is aggregated based on one or more geographic locations obtained from one of the plurality of sources. A sampling threshold size is determined for sampling the aggregated vehicle data based on one or more threshold rules. One or more machine learning algorithms are applied to the aggregated vehicle data to generate sampling data when the aggregated vehicle data is greater than the determined sampling threshold size. The generated sampling data is represented in a graphical representation format via a graphical user interface.
    Type: Application
    Filed: October 16, 2018
    Publication date: April 18, 2019
    Inventors: Abhijeet Gulati, Ravi Nemani, Eric Valenzuela, Scott Kozak