System and method that varies the terms and conditions of a subsidized loan
A system and method that varies the terms and conditions of a subsidized loan includes a data collection circuit structured to receive data related to an item of collateral that provides security for a loan; a valuation circuit structured to determine a value for the item of collateral based on the received data and a valuation model; a smart contract circuit structured to create a smart lending contract, wherein the smart lending contract specifies a covenant defining a required value of the item of collateral; and a loan management circuit comprising: a value comparison circuit structured to compare the value of the item and the specified covenant and determine a collateral satisfaction value, an automated agent circuit structured to automatically implement loan related activities in response to the collateral satisfaction value, wherein the loan related activities comprise: issuing a notice of default or a foreclosure action.
1. A system, comprising:
a data collection circuit structured to:
maintain a blockchain that stores data relating to secured loans and corresponding collateral data relating to collateral items; and
receive sensor data collected by a mobile data collector monitoring an item of collateral that provides security for a loan, the mobile data collector comprising at least one of a drone or a mobile robot;
a valuation circuit structured to determine a value of the item of collateral based on the received sensor data and a valuation model;
a smart contract circuit structured to instantiate a smart contract corresponding to the loan, the smart contract including computer-readable instructions that adapt at least one processor to specify a covenant defining a required value for the item of collateral; and
a loan management circuit comprising:
a value comparison circuit structured to:
compare the determined value of the item of collateral to the required value for collateral specified in the covenant;
determine a collateral satisfaction value, comprising:
maintaining a training data set for an artificial intelligence comprising feedback data of outcomes of success comprising recognition of a pattern of prices or value of the item of collateral over time, the training data set including the sensor data collected by the mobile data collector monitoring the item of collateral; and
iteratively training the artificial intelligence, using the training data set, to determine a route of travel for the mobile data collector to monitor the item of collateral based on the feedback data of outcomes of success; and
an automated agent circuit structured to:
cause the mobile data collector to follow the determined route of travel to monitor the item of collateral;
automatically implement a loan-related activity in response to the collateral satisfaction value,
wherein the loan related activities comprise at least one of: issuing a notice of default or a foreclosure action, and
wherein the computer-readable instructions of the smart contract further adapt the at least one processor to:
generate one or more blocks containing data corresponding to the loan related activities,
generate one or more hash values of the one or more blocks, and
link the one or more blocks to the blockchain via the one or more hash values.
2. The system of claim 1 , wherein the smart contract circuit is further structured to:
determine at least one of a term or a condition for the smart contract in response to the collateral satisfaction value; and
iteratively modify the smart contract to include the at least one of the term or the condition.
3. The system of claim 1 , wherein the valuation circuit comprises a valuation model improvement circuit structured to modify the valuation model based on:
a first set of valuation determinations for a first set of items of collateral; and
a corresponding set of loan outcomes having the first set of items of collateral as security.
4. The system of claim 1 , wherein the data collection circuit includes at least one of: an Internet of Things system, a camera system, a networked monitoring system, an internet monitoring system, a mobile device system, a wearable device system, a user interface system, or an interactive crowdsourcing system.
5. The system of claim 1 , wherein:
the valuation circuit further comprises a collateral classification circuit structured to identify a group of off-set items of collateral; and
each member of the group of off-set items of collateral and the item of collateral share a common attribute.
6. The system of claim 1 , wherein the valuation circuit further comprises a market value data collection circuit structured to monitor and report marketplace information for offset items of collateral relevant to the value of the item of collateral.
7. The system of claim 6 , wherein the market value data collection circuit is further structured to: monitor one of pricing or financial data for the offset items of collateral in at least one public marketplace; and report the monitored one of pricing or financial data.
8. The system of claim 1 , further comprising a blockchain service circuit structured to store at least one of the smart contract or a reference to the smart contract as blockchain data.
9. The system of claim 1 , further comprising:
a reporting circuit structured to report a collateral event based on the received data,
wherein the collateral event is related to at least one of: a value of the item of collateral, a condition of the item of collateral, or an ownership of the item of collateral.
10. The system of claim 9 , further comprising an automated agent circuit structured to perform a collateral-related action in response to the collateral event.
11. The system of claim 10 , wherein the collateral-related action is at least one of: validating title for the item of collateral, recording a change in title for the item of collateral, assessing the value of the item of collateral, initiating inspection of the item of collateral, initiating maintenance of the item of collateral, initiating security for the item of collateral, or modifying terms and conditions for the item of collateral.
12. The system of claim 10 , wherein the automated agent circuit is further structured to perform a loan-related action in response to the collateral event.
13. A method, comprising:
maintaining a blockchain that stores data relating to secured loans and corresponding collateral data relating to collateral items;
receiving sensor data collected by a mobile data collector monitoring an item of collateral that provides security for a loan, the mobile data collector comprising at least one of a drone or a mobile robot;
determining a value of the item of collateral based on the received data and a valuation model;
instantiate a smart contract corresponding to the loan, the smart contract specifying a covenant having a required value for collateral;
comparing, via the smart contract, the determined value of the item of collateral to the required value for collateral specified in the covenant;
determining, via the smart contract, a collateral satisfaction value, comprising:
maintaining a training data set for an artificial intelligence comprising feedback data of outcomes of success comprising recognition of a pattern of prices or value of the item of collateral over time, the training data set including the sensor data collected by the mobile data collector monitoring the item of collateral; and
iteratively training the artificial intelligence, using the training data set, to determine a route of travel for the mobile data collector to monitor the item of collateral based on the feedback data of outcomes of success;
causing the mobile data collector to follow the determined route of travel to monitor the item of collateral;
automatically implementing, via the smart contract, a loan-related activity in response to the collateral satisfaction value;
generating one or more blocks containing data corresponding to the loan-related activity;
generating one or more hash values of the one or more blocks; and
linking the one or more blocks to the blockchain via the one or more hash values.
14. The method of claim 13 , further comprising:
determining at least one of a term or a condition for the smart contract in response to the collateral satisfaction value; and
modifying the smart contract to include the at least one of the term or the condition.
15. The method of claim 13 , further comprising modifying the valuation model based on:
a first set of valuation determinations for a first set of items of collateral; and
a corresponding set of loan outcomes having the first set of items of collateral as security.
16. The method of claim 13 , further comprising:
identifying a group of off-set items of collateral,
wherein each member of the group of off-set items of collateral and the item of collateral share a common attribute.
17. The method of claim 16 , further comprising monitoring and reporting marketplace information for data relevant to a member of the group of off-set items of collateral.
18. The method of claim 17 , wherein monitoring marketplace information comprises monitoring at least one public marketplace for pricing data or financial data related to the member of the group of off-set items of collateral.
19. The method of claim 18 , further comprising modifying the smart contract in response to the marketplace information.
20. The method of claim 18 , further comprising automatic initiation of a loan related action in response to one of the pricing data or the financial data.
21. A system, comprising:
a data collection circuit structured to:
maintain a blockchain that stores data relating to secured loans and corresponding collateral data relating to collateral items; and
receive sensor data collected by a mobile data collector monitoring an item of collateral that provides security for a loan, the mobile data collector comprising at least one of a drone or a mobile robot;
a valuation circuit structured to determine a value of the item of collateral based on the received data and a valuation model; and
a smart contract circuit structured to instantiate a smart contract corresponding to the loan, the smart contract including computer-readable instructions that adapt at least one processor to:
specify a covenant defining a required value for item of collateral;
compare the determined value of the item of collateral to the required value for collateral specified in the covenant;
determine a collateral satisfaction value, comprising:
maintaining a training data set for an artificial intelligence comprising feedback data of outcomes of success comprising recognition of a pattern of prices or value of the item of collateral over time, the training data set including the sensor data collected by the mobile data collector monitoring the item of collateral; and
iteratively training the artificial intelligence, using the training data set, to determine a route of travel for the mobile data collector to monitor the item of collateral based on the feedback data of outcomes of success;
cause the mobile data collector to follow the determined route of travel to monitor the item of collateral;
automatically implement loan-related activities in response to the collateral satisfaction value, the loan related activities comprising at least one of: issuing a notice of default or a foreclosure action;
generate one or more blocks containing data corresponding to the loan related activities;
generate one or more hash values of the one or more blocks; and
link the one or more blocks to the blockchain via the one or more hash values.