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For the Inventor, By the Inventor

Toronto, Canada

Hua Xiao

This inventor holds 6 USPTO granted patents and 8 published patent applications. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hua Xiao. Retrieved from https://idiyas.com/inventor/hua-xiao-fpzrpf2y

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

Calculating rank
USPTO Granted Patents = 6 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:

goldMedal6 out of 365 
 
Maplebear Inc.
 patents

Years Active: 2026

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6 patents (USPTO):Explore Patents
1. 12675381 - Device error priority assignment generation for smart cart systems (2026-07-07),
2. 12664524 - Smart cart issue prediction with remedial workflow (2026-06-23),
3. 12664477 - Computing item findability through a findability machine-learning model (2026-06-23),
4. 12646032 - Using a trained machine-learning model of an online system to handle unclaimed online pickup orders (2026-06-02),
5. 12608674 - Machine learning model for predicting scheduled delivery for a self-picked order (2026-04-21),
6. 12572552 - Using machine-learning model of an online system to facilitate performing tasks of new types (2026-03-10),

Title: Innovations of Inventor Hua Xiao

Introduction

Hua Xiao is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in the realm of online systems and machine learning. With a total of 6 patents, his work focuses on improving user experience and operational efficiency in online order management.

Latest Patents

Hua Xiao's latest patents include innovative solutions for handling unclaimed online pickup orders. One of his patents describes an online system that utilizes a trained machine-learning model to intelligently manage unclaimed orders. The system identifies unclaimed orders at a source location and gathers information about each item in the order. It then applies the trained model to determine the best disposal method for each bundle, ensuring efficient handling of unclaimed items.

Another significant patent involves a machine learning model designed to predict scheduled deliveries for self-picked orders. This system responds to user proximity to a retailer and generates a score indicating the likelihood of the user accepting a delivery offer. If the score exceeds a certain threshold, the system presents a list of service options for the user to choose from, enhancing the overall delivery experience.

Career Highlights

Hua Xiao is currently employed at Maplebear Inc., where he continues to develop innovative solutions that leverage technology to improve online services. His work has been instrumental in advancing the capabilities of online order systems, making them more user-friendly and efficient.

Collaborations

Hua collaborates with talented individuals such as Naval Shah and Brent Scheibelhut, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Hua Xiao's contributions to technology through his patents reflect his commitment to enhancing online systems and user experiences. His innovative approaches to order management and delivery prediction demonstrate the potential of machine learning in transforming the industry.

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]
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