Chicago, IL, United States of America

Brandon Sim

This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Brandon Sim. Retrieved from https://idiyas.com/inventor/brandon-sim

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Brandon Sim and Predictive Machine Learning for Online Orders.

Introduction

Brandon Sim is an inventor based in Chicago, Illinois, associated with Maplebear Inc. His patent work concerns using machine learning to anticipate changes in the state of an item and coordinate actions related to an online order.

Latest Patents

Sim is credited with 1 patent: “Using Trained Machine-Learning Model of an Online System to Predict Timing of State Change of Variable State Item.” The invention describes an online system that analyzes information about an item and ambient conditions to predict when the item’s state will change as it moves from a source location. Based on that prediction, the system generates a control signal to initiate an order-related action, an action involving the item, or both.

Career Highlights

The patent reflects an application of machine learning to operational planning. By estimating when an item’s state may change, an online system can use that prediction to guide actions associated with fulfilling an order.

Collaborations

Sim’s listed coworkers include Brent Scheibelhut and Sara Starck. The patent’s focus on an online system and order-related actions also connects the invention to Maplebear Inc.’s work in online commerce and fulfillment.

Conclusion

Brandon Sim’s patent describes how machine-learning predictions about item-state changes can inform timely actions in online order operations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…