Digital River, Inc.

Scott Michael Sutherland

Ian Holsman

Sandeep Tikoo

Theodore Russell Cahall, Jr

Ivan Atanasov Atanasov

Embodiments of the invention are directed to a system and method for providing a high-volume transaction queueing, reserve ecommerce solution that automatically engages and queues transactions when a primary back-end transaction processing system becomes unresponsive or unstable. Through machine learning algorithms, embodiments of the invention control transaction submission rates by queuing them and throttling the rate at which they are processed based on self-awareness and constant monitoring, feedback and health checks of the primary system. When metrics indicate that the third-party system can begin accepting transactions again, the system automatically feeds the queued transactions along with real-time orders at a rate that the third-party system can successfully manage.

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Minneapolis, MN, United States of America

Scott Michael Sutherland