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US Patent 11416912 High volume transaction queueing with machine learning

Patent 11416912 was granted and assigned to Digital River on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Digital River
Digital River
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Current Assignee
Digital River
Digital River
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114169120
Patent Inventor Names
Theodore Russell Cahall, Jr.0
Ian Holsman0
Scott Michael Sutherland0
Sandeep Tikoo0
Ivan Atanasov Atanasov0
Date of Patent
August 16, 2022
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Patent Application Number
153947750
Date Filed
December 29, 2016
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Patent Citations
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US Patent 10223729 Ecommerce high volume order management system and method
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US Patent 10373242 Network traffic-based throttling of electronic commerce activity
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US Patent 10057333 Coordinated processing of data by networked computing resources
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US Patent 10063661 Multi-tenant cloud-based queuing systems
Patent Primary Examiner
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Greg C Bengzon
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CPC Code
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G06Q 20/108
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G06Q 20/4014
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G06Q 20/4018
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G06Q 20/405
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G06Q 30/0222
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G06Q 30/0613
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G06Q 30/0633
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G06Q 40/08
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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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