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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Zi Wang

This inventor holds 10 USPTO granted patents and 5 published patent applications. Top assignee: Maplebear Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zi Wang. Retrieved from https://idiyas.com/inventor/zi-wang-2cawrn7u

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

USPTO Granted Patents = 10 

% Patents Active = 80.0

Average Co-Inventor Count = 6.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal10 out of 342 
 
Maplebear Inc.
 patents

Years Active: 2023-2026

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10 patents (USPTO):Explore Patents
1. 12664514 - User interface enabling order fulfillment options based on predicted fulfillment times from a trained model (2026-06-23),
2. 12572886 - Using computer models to predict delivery times for an order during creation of the order (2026-03-10),
3. 12475411 - Using computer model to determine availability of service option for delivery of order placed with online system (2025-11-18),
4. 12354056 - Selectively providing machine learning model-based services (2025-07-08),
5. 12198182 - Allocating shoppers and orders for fulfillment by an online concierge system to account for variable numbers of shoppers across different time windows (2025-01-14),
6. 12175487 - Adjusting demand for order fulfillment during various time intervals for order fulfillment by an online concierge system (2024-12-24),
7. 12033109 - Generating a range of estimated fulfillment times for an order based on characteristics of an order (2024-07-09),
8. 11830018 - Adjusting demand for order fulfillment during various time intervals for order fulfillment by an online concierge system (2023-11-28),
9. 11803894 - Allocating shoppers and orders for fulfillment by an online concierge system to account for variable numbers of shoppers across different time windows (2023-10-31),
10. 11755987 - Determining estimated delivery time of items obtained from a warehouse for users of an online concierge system to reduce probabilities of delivery after the estimated delivery time (2023-09-12),

Title: Innovations by Inventor Zi Wang

Introduction

Zi Wang is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning and online services, holding a total of 7 patents. His work focuses on enhancing user experience through innovative technologies.

Latest Patents

Zi Wang's latest patents include a system for selectively providing machine learning model-based services. This online concierge system offers arrival prediction services for users placing orders to be retrieved by shoppers. The system intelligently throttles the prediction model and related services based on various predicted delivery metrics to ensure accuracy. Another notable patent involves allocating shoppers and orders for fulfillment by an online concierge system. This system utilizes a machine learning model trained on historical data to predict shopper availability, optimizing the order fulfillment process.

Career Highlights

Zi Wang has established himself as a key player in the tech industry through his innovative work at Maplebear Inc. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios. His contributions have the potential to revolutionize how online services operate, making them more efficient and user-friendly.

Collaborations

Zi Wang collaborates with talented individuals such as Houtao Deng and Ji Chen. Their combined expertise fosters a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Zi Wang's work exemplifies the spirit of innovation in the tech industry. His patents not only showcase his inventive capabilities but also highlight the importance of collaboration in driving technological advancements.

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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