Seattle, WA, United States of America

Guillermo Bravo Beneitez

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2023-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guillermo Bravo Beneitez. Retrieved from https://idiyas.com/inventor/guillermo-bravo-beneitez

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.5

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Guillermo Bravo Beneitez: Innovator in Actionable Metrics and Item Placement Systems

Introduction

Guillermo Bravo Beneitez is a notable inventor based in Seattle, WA, who has made significant contributions to the field of actionable metrics and item placement systems. With a total of 2 patents, his work focuses on enhancing the efficiency of retail environments through innovative technology.

Latest Patents

One of Guillermo's latest patents is titled "Generating actionable metrics from sensor data." This disclosure is directed to systems and techniques for generating actionable metrics data based on sensor data generated from one or more sensors within an environment. For instance, a brick-and-mortar retail environment or other materials handling facility may include one or more sensors, such as overhead cameras, which generate image data as users interact with items in the environment. Machine-learning models and/or computer-vision algorithms may then analyze the resulting image data to identify the interactions between the users and the items. The system may then generate metrics data indicating varying metrics associated with these interactions, which may be used to generate graphical user interfaces (GUI) for presenting the metrics data to vendors, brand owners, and the like.

Another significant patent is "Systems for selecting items and item placements." This disclosure describes, in part, systems for recommending items and item placements within a facility. The system may receive transaction data and inventory data associated with at least the facility. It may then use the transaction data and the inventory data to determine utility scores for items at the facility. Additionally, the system may receive data representing dimensions of the items and/or data representing dimensions of available space associated with the facility. The system may then use the utility scores, the dimensions of the items, and/or the dimensions of the available space to determine the amounts of space to provide to the items at the facility. Furthermore, the system can generate data representing an assortment of the items, where the assortment indicates at least the amounts of space, and provide the data to one or more computing devices.

Career Highlights

Guillermo Bravo Beneitez is currently employed at Amazon Technologies, Inc., where he applies his expertise in developing innovative solutions that enhance operational efficiency. His work has been instrumental in advancing the capabilities of retail technology.

Collaborations

Guillermo collaborates with talented individuals such as Rico Polim and Anthony Joseph Battista, contributing to a dynamic team focused on innovation and technology development.

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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