Nicholas Scott Eggert

Title: Innovations of Nicholas Scott Eggert

Introduction

Nicholas Scott Eggert is a notable inventor based in Inver Grove Heights, MN (US). He has made significant contributions to technology, holding a total of 8 patents. His work primarily focuses on enhancing user experience and operational efficiency in various systems.

Latest Patents

One of his latest patents is titled "Similarity learning-based device attribution." This invention discloses methods and systems for attributing browsing activity from multiple network-connected devices to a single user. The process involves receiving cookies generated by different unidentified devices and applying a random forest classifier to determine the likelihood that two cookies were created by the same user. This technology allows for personalized content delivery based on the characteristics of the paired cookies.

Another significant patent is the "Retail shelf image processing and inventory tracking system." This system automatically detects empty spaces on retail store shelves and identifies missing products. It utilizes shelf-mounted imaging devices to capture images of shelves, which are then processed to detect products and identify any discrepancies. When an empty shelf space is detected, a message is sent to store employees to ensure timely restocking.

Career Highlights

Nicholas Scott Eggert is currently employed at Target Brands, Inc., where he continues to innovate and develop new technologies. His work has had a profound impact on retail operations and user interaction with technology.

Collaborations

He has collaborated with notable coworkers such as Ryan David Siskind and Stephen Radachy, contributing to a dynamic and innovative work environment.

Conclusion

Nicholas Scott Eggert's contributions to technology through his patents demonstrate his commitment to innovation and efficiency. His work continues to influence the fields of user experience and retail management.