Company Filing History:
Years Active: 2022
Title: Scott Michael Sutherland: Innovator in High-Volume Transaction Queueing
Introduction
Scott Michael Sutherland is an accomplished inventor based in Minneapolis, MN (US). He has made significant contributions to the field of transaction processing through his innovative patent. His work focuses on enhancing the efficiency and reliability of ecommerce solutions.
Latest Patents
Sutherland holds a patent for "High volume transaction queueing with machine learning." This invention is directed towards a system and method that provides a high-volume transaction queueing solution. It automatically engages and queues transactions when a primary back-end transaction processing system becomes unresponsive or unstable. The invention utilizes machine learning algorithms to control transaction submission rates by queuing them and throttling the rate at which they are processed. This is based on self-awareness, constant monitoring, feedback, and health checks of the primary system. When metrics indicate that the third-party system can accept transactions again, the system automatically feeds the queued transactions along with real-time orders at a manageable rate.
Career Highlights
Scott Michael Sutherland is currently employed at Digital River, Inc., where he applies his expertise in transaction processing and machine learning. His innovative approach has positioned him as a key player in the development of advanced ecommerce solutions.
Collaborations
Sutherland has collaborated with notable colleagues, including Theodore Russell Cahall, Jr. and Sandeep Tikoo. These partnerships have contributed to the advancement of technology in the field of transaction processing.
Conclusion
Scott Michael Sutherland is a pioneering inventor whose work in high-volume transaction queueing has the potential to transform ecommerce solutions. His innovative patent demonstrates the importance of integrating machine learning into transaction processing systems.