US 11,727,505 B2
Systems, methods, and apparatus for consolidating a set of loans
Charles Howard Cella, Pembroke, MA (US)
Assigned to Strong Force TX Portfolio 2018, LLC, Fort Lauderdale, FL (US)
Filed by Strong Force TX Portfolio 2018, LLC, Santa Monica, CA (US)
Filed on Aug. 20, 2020, as Appl. No. 16/998,910.
Application 16/998,910 is a continuation of application No. 16/998,668, filed on Aug. 20, 2020.
Application 16/998,668 is a continuation of application No. PCT/US2019/058671, filed on Oct. 29, 2019.
Application PCT/US2019/058671 is a continuation in part of application No. PCT/US2019/030934, filed on May 6, 2019.
Claims priority of provisional application 62/843,992, filed on May 6, 2019.
Claims priority of provisional application 62/843,456, filed on May 5, 2019.
Claims priority of provisional application 62/843,455, filed on May 5, 2019.
Claims priority of provisional application 62/818,100, filed on Mar. 13, 2019.
Claims priority of provisional application 62/787,206, filed on Dec. 31, 2018.
Claims priority of provisional application 62/751,713, filed on Oct. 29, 2018.
Claims priority of provisional application 62/751,713, filed on Oct. 29, 2018.
Claims priority of provisional application 62/667,550, filed on May 6, 2018.
Prior Publication US 2020/0394709 A1, Dec. 17, 2020
Int. Cl. G06N 20/00 (2019.01); G06Q 40/00 (2023.01); G16Y 10/50 (2020.01); G06Q 50/00 (2012.01); G06Q 30/0208 (2023.01); G06Q 10/10 (2023.01); G06Q 30/0207 (2023.01); G06F 16/27 (2019.01); G06N 3/08 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0201 (2023.01); G06F 9/46 (2006.01); G06Q 10/0639 (2023.01); G06Q 20/40 (2012.01); H04L 9/06 (2006.01); G06F 16/23 (2019.01); G06N 5/04 (2023.01); G06Q 40/08 (2012.01); G06F 9/54 (2006.01); G06Q 30/018 (2023.01); G06Q 50/18 (2012.01); G06Q 50/26 (2012.01); G16Y 40/10 (2020.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06Q 40/03 (2023.01); G06N 3/042 (2023.01); G06V 10/762 (2022.01); G06Q 40/04 (2012.01)
CPC G06Q 50/01 (2013.01) [G06F 9/466 (2013.01); G06F 9/543 (2013.01); G06F 16/2379 (2019.01); G06F 16/27 (2019.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06N 3/042 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/0639 (2013.01); G06Q 10/10 (2013.01); G06Q 20/405 (2013.01); G06Q 30/018 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0206 (2013.01); G06Q 30/0208 (2013.01); G06Q 30/0215 (2013.01); G06Q 30/0278 (2013.01); G06Q 40/03 (2023.01); G06Q 40/08 (2013.01); G06Q 50/18 (2013.01); G06Q 50/188 (2013.01); G06Q 50/26 (2013.01); G06V 10/762 (2022.01); G16Y 10/50 (2020.01); G16Y 40/10 (2020.01); H04L 9/0637 (2013.01); G06Q 40/04 (2013.01); G06Q 2220/18 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A system for consolidating a set of loans, comprising:
at least one processor;
a set of data collection and monitoring services that executes on the at least one processor and collects:
information about a set of loans,
a condition of a collateral for the set of loans, and
a set of electronically recorded interactions and outcomes between entities for a set of loan consolidation transactions,
wherein the set of data collection and monitoring services monitors the condition of the collateral for the set of loans, and
wherein the at least one processor maintains a training data set comprising the set of electronically recorded interactions and outcomes between the entities for the set of loan consolidation transactions;
a blockchain service circuit structured to interface with a distributed ledger having a blockchain, wherein the blockchain service circuit communicates with the set of data collection and monitoring services to generate data on the blockchain corresponding to the information about the set of loans, the condition of the collateral for the set of loans as monitored by the set of data collection and monitoring services, and the set of electronically recorded interactions and the outcomes between the entities for the set of loan consolidation transactions;
an artificial intelligence circuit that executes on the at least one processor and is trained, by the at least one processor, on the set of electronically recorded interactions and classifies the set of loans as candidates for consolidation based on the set of electronically recorded interactions; and
a robotic process automation (RPA) circuit that is trained, by the at least one processor, on the training data set, and wherein the RPA circuit communicates with the artificial intelligence circuit to:
receive the condition of the collateral as monitored by the set of data collection and monitoring services from the blockchain data as accessed from the blockchain via a first application programming interface (API); and
manage consolidation of at least a subset of the set of the classified loans on behalf of a party to one or more of the candidates for the consolidation,
wherein the RPA circuit manages the consolidation based on an expected outcome of a consolidation activity that is predicted based on the condition of the collateral as monitored by the set of data collection and monitoring services, and
the RPA circuit further manages the consolidation by:
automatically setting conditional steps and automatically executing the conditional steps based on the condition of the collateral as monitored by the set of data collection and monitoring services,
wherein the conditional steps include:
automatically facilitating, via a second API, a negotiation of a term of the set of loans; and
updating the training data set based on an outcome of the negotiation,
wherein the at least one processor further trains the RPA circuit on the updated training data set,
wherein the at least one processor determines at least one of the outcome or a negotiating event of the negotiation associated with the consolidation, and records, in the distributed ledger, the at least one of the outcome or the negotiating event, and
wherein upon completion of the negotiation, the at least one processor automatically configures a smart contract for a consolidated loan based on the outcome of the negotiation.