This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Toast, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Richard W Jagolta: Innovator in Predictive Technology
Introduction
Richard W Jagolta is a notable inventor based in Gloucester, MA (US). He has made significant contributions to the field of predictive technology, particularly in the restaurant industry. His innovative approach focuses on enhancing order preparation efficiency through advanced deep learning systems.
Latest Patents
Richard W Jagolta holds a patent for a "Deep learning system for dynamic prediction of order preparation times." This method involves retrieving item-level records from a database for preparation menu items across various subscriber restaurants. It includes training and executing a neural network to generate embeddings for menu items, calculating actual and estimated item-level preparation time vectors, and predicting order-level preparation times using a second neural network. This technology aims to optimize the preparation times for current orders within a restaurant.
Career Highlights
Richard is currently employed at Toast, Inc., where he applies his expertise in deep learning and predictive analytics. His work is instrumental in developing systems that improve operational efficiency for restaurants. With a focus on innovation, he continues to push the boundaries of technology in the food service industry.
Collaborations
Richard collaborates with talented professionals such as Adam Dziki and Seong Hyun Hwang. Their combined efforts contribute to the advancement of predictive technologies and enhance the capabilities of the systems they develop.
Conclusion
Richard W Jagolta is a pioneering inventor whose work in predictive technology is transforming the restaurant industry. His innovative patent demonstrates the potential of deep learning systems to improve operational efficiency and customer satisfaction.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
