Patents by Inventor Sam Crocker

Sam Crocker 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).

  • PREEMPTIVE PICKING OF ITEMS BY AN ONLINE CONCIERGE SYSTEM BASED ON PREDICTIVE MACHINE LEARNING MODEL
    Publication number: 20260105476
    Abstract: An online concierge system applies a predictive model to predict demand of items, and facilitates preemptive picking of items in advance of receiving orders to enable efficient procurement and delivery. The online concierge system may apply a time-series model and/or machine learning model that predicts demand based on historical data. Depending on the predicted demand, items may be preemptively moved from a storage location to a staging area that enables the items to be more rapidly processed and delivered to customers when orders come in.
    Type: Application
    Filed: December 15, 2025
    Publication date: April 16, 2026
    Inventors: Kenneth Jason Sanchez, Eric Hermann, Abhinav Darbari, Haochen Luo, Maksym Brodin, Sam Crocker
  • Preemptive picking of items by an online concierge system based on predictive machine learning model
    Patent number: 12518291
    Abstract: An online concierge system applies a predictive model to predict demand of items, and facilitates preemptive picking of items in advance of receiving orders to enable efficient procurement and delivery. The online concierge system may apply a time-series model and/or machine learning model that predicts demand based on historical data. Depending on the predicted demand, items may be preemptively moved from a storage location to a staging area that enables the items to be more rapidly processed and delivered to customers when orders come in.
    Type: Grant
    Filed: December 12, 2022
    Date of Patent: January 6, 2026
    Assignee: Maplebear Inc.
    Inventors: Kenneth Jason Sanchez, Eric Hermann, Abhinav Darbari, Haochen Luo, Maksym Brodin, Sam Crocker
  • PREEMPTIVE PICKING OF ITEMS BY AN ONLINE CONCIERGE SYSTEM BASED ON PREDICTIVE MACHINE LEARNING MODEL
    Publication number: 20240193627
    Abstract: An online concierge system applies a predictive model to predict demand of items, and facilitates preemptive picking of items in advance of receiving orders to enable efficient procurement and delivery. The online concierge system may apply a time-series model and/or machine learning model that predicts demand based on historical data. Depending on the predicted demand, items may be preemptively moved from a storage location to a staging area that enables the items to be more rapidly processed and delivered to customers when orders come in.
    Type: Application
    Filed: December 12, 2022
    Publication date: June 13, 2024
    Inventors: Jason Sanchez, Eric Hermann, Abhinav Darbari, Haochen Luo, Maksym Brodin, Sam Crocker