Patents by Inventor Adam WHYBREW

Adam WHYBREW 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: 20250005609
    Abstract: In an example method, a system receives a first data set representing a plurality of first purchases of a plurality of first products by a plurality of first users, and trains a generative transformer model including one or more computerized attention mechanisms using the first data set as an input. Further, the system receives a second data set representing one or more second products selected by a second user for purchase, and provides the second data set to the generative transformer model. The system outputs a third data set generated by the generative transformer model based on the second data set, where the third data set represents a prediction of one or more third products for purchase by the second user, and stores the third data set using one or more computer storage devices.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 2, 2025
    Inventors: Adam Whybrew, Arun Karthik Ravindran, Manaswi Veligatla
  • Publication number: 20240338745
    Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. A substitution similarity between the item and another item based on the item embeddings can be identified.
    Type: Application
    Filed: March 25, 2024
    Publication date: October 10, 2024
    Applicant: The Boston Consulting Group, Inc.
    Inventors: Richard DOWNEY, Shirish DHAR, Adam WHYBREW, Jurgen HANEKOM
  • Patent number: 11972470
    Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. A substitution similarity between the item and another item based on the item embeddings can be identified.
    Type: Grant
    Filed: March 29, 2023
    Date of Patent: April 30, 2024
    Assignee: The Boston Consulting Group, Inc.
    Inventors: Richard Downey, Shirish Dhar, Adam Whybrew, Jurgen Hanekom
  • Patent number: 11948181
    Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be determined.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: April 2, 2024
    Assignee: The Boston Consulting Group, Inc.
    Inventors: Alex Bergsaaker, Adam Whybrew, Lukasz Jerzy Bolikowski, Jesse Denzil Ross Thomas, Zao Wu
  • Publication number: 20230306493
    Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. A substitution similarity between the item and another item based on the item embeddings can be identified.
    Type: Application
    Filed: March 29, 2023
    Publication date: September 28, 2023
    Applicant: The Boston Consulting Group, Inc.
    Inventors: Richard DOWNEY, Shirish DHAR, Adam WHYBREW
  • Patent number: 11669882
    Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can include one or more episodes from one or more customers. Each episode can include one or more items. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. Input including an item can be received. A substitution similarity between the item and another item based on the item embeddings can be identified.
    Type: Grant
    Filed: June 10, 2022
    Date of Patent: June 6, 2023
    Assignee: The Boston Consulting Group, Inc.
    Inventors: Richard Downey, Shirish Dhar, Adam Whybrew
  • Publication number: 20220301037
    Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can include one or more episodes from one or more customers. Each episode can include one or more items. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. Input including an item can be received. A substitution similarity between the item and another item based on the item embeddings can be identified. The item embeddings can be clustered to generate need states.
    Type: Application
    Filed: June 10, 2022
    Publication date: September 22, 2022
    Applicant: The Boston Consulting Group, Inc.
    Inventors: Richard DOWNEY, Shirish DHAR, Adam WHYBREW
  • Patent number: 11321763
    Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be accepted. Dimension information and structure information for a neural network can be defined. The neural network can be trained using the combination information indicating which SKUs were sold together in a same combination to calculate weight values and bias values for the neural network.
    Type: Grant
    Filed: September 9, 2020
    Date of Patent: May 3, 2022
    Assignee: THE BOSTON CONSULTING GROUP, INC.
    Inventors: Alex Bergsaaker, Adam Whybrew, Lukasz Jerzy Bolikowski, Jesse Denzil Ross Thomas, Zao Wu
  • Publication number: 20220122148
    Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be determined.
    Type: Application
    Filed: October 29, 2021
    Publication date: April 21, 2022
    Applicant: The Boston Consulting Group, Inc.
    Inventors: Alex BERGSAAKER, Adam WHYBREW, Lukasz Jerzy BOLIKOWSKI, Jesse Denzil Ross THOMAS, Zao WU
  • Publication number: 20220044300
    Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be accepted. Dimension information and structure information for a neural network can be defined. The neural network can be trained using the combination information indicating which SKUs were sold together in a same combination to calculate weight values and bias values for the neural network.
    Type: Application
    Filed: September 9, 2020
    Publication date: February 10, 2022
    Applicant: THE BOSTON CONSULTING GROUP, INC.
    Inventors: Alex BERGSAAKER, Adam WHYBREW, Lukasz Jerzy BOLIKOWSKI, Jesse Denzil Ross THOMAS, Zao WU