Patents by Inventor Adam DZIKI

Adam DZIKI 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: 20220351018
    Abstract: A method for predicting preparation times includes: retrieving set of item-level records from a database for preparation menu items for all subscriber restaurants; training and executing a first neural network to generate embeddings for each of the menu items; for a first subset of the set, calculating actual item-level preparation time vectors; for a second subset of the historical set, generating estimated item-level preparation time vectors; retrieving a set of order-level records for preparation of orders from the database; training a second neural network to predict the order-level preparation times, wherein inputs to the second neural network comprise one or more of the item-level preparation time vectors and metadata taken from the order-level records; and following training, executing the second neural network to generate predicted order-level preparation times for current orders within a restaurant.
    Type: Application
    Filed: April 30, 2021
    Publication date: November 3, 2022
    Applicant: Toast, Inc.
    Inventors: Richard W. Jagolta, Adam Dziki, Seong Hyun Hwang
  • Publication number: 20220351167
    Abstract: A method for predicting takeout and delivery pickup times includes: retrieving set of item-level records from a database for preparation menu items for all subscriber restaurants; training and executing a first neural network to generate embeddings for each of the menu items; for a first subset of the set, calculating actual item-level preparation time vectors; for a second subset of the historical set, generating estimated item-level preparation time vectors; retrieving a set of order-level records for preparation of orders from the database; training a second neural network to predict the order-level preparation times, wherein inputs to the second neural network comprise one or more of the item-level preparation time vectors and metadata taken from the order-level records; and following training, executing the second neural network to generate predicted order-level preparation times for current orders within a restaurant, and translating the predicted order-level preparation times into pickup times.
    Type: Application
    Filed: April 30, 2021
    Publication date: November 3, 2022
    Applicant: Toast. Inc.
    Inventors: Richard W. Jagolta, Adam Dziki, Seong Hyun Hwang
  • Publication number: 20200315254
    Abstract: An aerosol provision system including a display module configured to display information relating to the aerosol provision system in a display region of a surface of the aerosol provision system and a user input module comprising measurement circuitry coupled to a plurality of sensor elements located around the display region to provide a plurality of sensing regions for detecting the presence of an object over the surface of the aerosol provision system around the display region.
    Type: Application
    Filed: December 19, 2018
    Publication date: October 8, 2020
    Inventors: Pawel ZIELAZEK, Marcin KOZLOWSKI, Adrian JAKOBCZYK, Adam DZIKI