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For the Inventor, By the Inventor

New York, NY, United States of America

Madeline Mesard

This inventor holds 11 USPTO granted patents and 18 published patent applications. Top assignee: Maplebear Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madeline Mesard. Retrieved from https://idiyas.com/inventor/madeline-mesard

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

USPTO Granted Patents = 11 

% Patents Active = 18.2

Average Co-Inventor Count = 4.7

ph-index = 1


Company Filing History:

goldMedal11 out of 349 
 
Maplebear Inc.
 patents

Years Active: 2025-2026

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11 patents (USPTO):Explore Patents
1. 12755313 - Using a trained machine-learning model to facilitate picking items in a warehouse (2026-10-06),
2. 12749047 - Automated identification of items placed in a cart and routing based on same (2026-09-29),
3. 12675816 - Using a machine learning model to predict a user's quantity ceiling for different categories of items in a catalog (2026-07-07),
4. 12664579 - Selectively displaying videos by an online system (2026-06-23),
5. 12646030 - Using a trained model of an online system to generate action recommendations by predicting future demand (2026-06-02),
6. 12614223 - Dynamic determination of event type using multitask classification model for increasing efficiency of item pipeline (2026-04-28),
7. 12614222 - Using a trained model to generate action recommendations by predicting metrics related to items ordered at an online system (2026-04-28),
8. 12608674 - Machine learning model for predicting scheduled delivery for a self-picked order (2026-04-21),
9. 12579569 - Automatic generation of personalized collection of items around a theme at an online system (2026-03-17),
10. 12548055 - Using a generative artificial intelligence model to generate a personalized image of a catalog item (2026-02-10),
11. 12417465 - Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors (2025-09-16),

Title: The Innovative Mind of Madeline Mesard

Introduction

Madeline Mesard is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of technology, particularly in developing systems that enhance user experience through data analysis. Her innovative approach has led to the creation of a unique patent that addresses price sensitivity in online systems.

Latest Patents

Madeline holds a patent for a system that utilizes a trained model to predict a user's price sensitivity based on data acquired from in-store sensors. This patent, titled "Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors," describes a method where an online system generates input data by gathering replacement data via a user interface at a device associated with the user. The system also collects in-store behavior data related to the replacement of items performed by the user at a retailer's location. By applying a price sensitivity model, the system predicts a price sensitivity score for the user, which indicates their price sensitivity feature. This information is then used to identify actions that prompt the user to convert one or more items.

Career Highlights

Madeline is currently employed at Maplebear Inc., where she continues to innovate and develop new technologies. Her work focuses on enhancing user interactions and improving the efficiency of online systems. With her expertise, she has contributed to the advancement of data-driven solutions in the retail sector.

Collaborations

Madeline collaborates with talented individuals such as Brent Scheibelhut and Charles Wesley. Together, they work on various projects that aim to push the boundaries of technology and improve user experiences.

Conclusion

Madeline Mesard is a trailblazer in the field of technology, with her innovative patent showcasing her ability to merge data analysis with user experience. Her contributions at Maplebear Inc. and collaborations with her colleagues highlight her commitment to advancing the industry. Her work continues to inspire future innovations in the realm of online systems.

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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