Sara Starck

Title: Sara Starck: Inventor in Online Order Technology

Introduction

Sara Starck is an inventor associated with Arlington, Virginia, and Maplebear Inc. Her patent work concerns using machine learning to predict when an item’s state may change while an online order is being serviced.

Latest Patents

Starck is named on one patent: “Using Trained Machine-Learning Model of an Online System to Predict Timing of State Change of Variable State Item.” The invention applies a trained machine-learning model to information about an item and ambient conditions to estimate when the item will change from its original state at a source location. Based on that prediction, the online system can initiate an action related to the order, the item, or both. Starck’s listed patent count is 1 patent.

Career Highlights

Starck’s documented patent contribution focuses on applying predictive machine learning to online order operations. The approach connects estimates of an item’s changing state with operational actions, potentially helping an online system respond to conditions affecting an order.

Collaborations

The patent information also names Brent Scheibelhut and Clyde Simmons Manuel as Starck’s coworkers. Their shared association with Maplebear Inc. provides context for the company setting in which this work was developed.

Conclusion

Sara Starck’s patent highlights an application of machine learning to predicting item-state changes and coordinating actions in online order systems.