FIELD

The present disclosure relates generally to establishing an efficient market for variable characteristic assets such as used aircraft parts and, in particular, to systems and methods for asynchronous, time-dependent tendering (preferring one or more offers to buy or sell) in an electronic market place for variable characteristic assets

BACKGROUND

Certain marketplace environments are subject to externalities or idiosyncratic considerations that may limit the ability to establish a predictable market or otherwise determine an efficient market price for an indicated good or service A marketplace environment may be subject to these considerations, for example, in a market for goods with variable characteristics (e.g., where goods may exhibit substantial non-uniformity), where the goods are limited in quantity or are unique (e.g., where goods may exhibit substantial or unpredictable scarcity characteristics), and/or where the goods associated with substantial variations in time-sensitive supply or demand (e.g., where the goods may exhibit demand non-uniformity, particularly where the non-uniformity is at least partially based on the dynamic, time-sensitive needs of a given buyer or seller).

Moreover, various unpredictable externalities may be included in such markets. For example, the market for a particular good may be at least indirectly linked to the value (or revenue stream) of a substantially more expensive but related good. This, in turn, may create unpredictable, externalities-type variations in value at least in part because the substantially more expensive good may not be subject to exchange or valuation via the instant market. In this regard, the value of the good for the instant market may vary wildly at least partially based on the particular characteristics of the substantially more expensive related good that is not subject to the instant market.

The case of the market for used aircraft components is illustrative. The value of such components is often highly dependent on one or more variable characteristics such as the condition, age, and time in service or time since servicing of the components. It is difficult to establish a market due to questions concerning the reliability of information concerning such characteristics. Moreover, the value of the component often has a high degree of time dependency due to external considerations. For example, for a buyer, the value of a used aircraft component may be at least partially based on the time revenue stream of a substantially more expensive asset, such as a commercial aircraft. A seller may face pressures to make sales due to, for example, the high costs of inventory or variations in market price. Accordingly, this has been a difficult market to address by conventional models.

For example, a traditional auction fails to address the foregoing challenges. A traditional auction attempts to determine the market price for an item in the context of one to many (i.e., one seller to many potential buyers). In this regard, the traditional auction may be a closed universe that does not allow for consideration of multiple, competing sellers. As such, the traditional auction limits the ability to competitively arrive at an efficient market price. Similarly, a stock market based pricing model also fails to address the foregoing challenges. While a stock market based pricing model attempts to determine the market price in the context of many to many (i.e., many potential sellers to many potential buyers), it does so based generally on the assumption that the underlying asset is a commodity or at least substantially similar (i.e., each unit of traded stock is functionally equivalent or interchangeable). Accordingly, a stock market based pricing model may not be equipped to facilitate price determination for an asset with variable or unique attributes across a given asset class (e.g., the pricing of an asset may be based on the particular condition of the given asset).

In this regard, the foregoing described externalities or idiosyncratic conditions may interfere with the establishment of a predictable market such that buyers and sellers may be limited to transacting at a suboptimal price (e.g., by transacting at a time that does not recognize a coincident interval at which the buyer's willingness to pay most closely aligns with a seller's valuation of a particular good, etc.).

SUMMARY

In view of the foregoing, the present disclosure describes techniques for the asynchronous tendering for variable characteristic assets, thereby facilitating the establishment of an efficient and rational market in a manner that eludes the traditional paradigms of synchronous bartering or auctioning, and of static fixed price marketing. The invention enables buyers and sellers to efficiently manage tenders in relation to time-dependent factors so as to optimize price while accounting for external considerations. In addition, the invention allows for verification of characteristics of assets under consideration by a trusted intermediary such that greater certainty is achieved in the marketplace

In one aspect, the present disclosure includes a method for use in asynchronous tendering for variable characteristic assets within a distributed network. The method includes receiving, at a processor of a network server, a first listing object that includes a first listing profile. The first listing profile may be indicative of a listing price corresponding to a first variable characteristic asset. The method further includes receiving, at the processor of the network server, a first offer object that includes a first offer profile. The first offer profile may be indicative of an offer price corresponding to the first variable characteristic asset. In this regard, at least one of the listing price and the offer price may include a time-dependent price. The method further includes iteratively comparing, by the processor of the network server, the received first listing object with the received first offer object to determine a time-dependent price range corresponding to the first variable characteristic asset at a given time. The time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time. The method further includes returning a strike price at least partially based on the time-dependent price range.

A number of feature refinements and additional features are applicable in the first aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following features that will be discussed may be, but are not required to be, used with any other feature combinations of the first aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to the first variable characteristic asset. The indication of condition may be verified by a trusted source such as an appraisal by an independent or objective appraiser. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the method may further include verifying, by the processor of the network server, the condition-dependent status of the first variable characteristic asset by identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. Accordingly, the method may further include determining a condition-dependent verification score at least partially based on said associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record. Notably, the physical condition of the variable characteristic asset of the variable characteristic asset record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. Additionally, the inspection may include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record.

According to another embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on the historical transactional data. Accordingly, the strike price may be at least partially based on the condition-dependent verification score.

In this regard, in an embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction. Accordingly, the returning step may further include returning a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric may include an average strike price corresponding to the completed strike price for the at least one completed transaction. Additionally, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction completion metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be substantially free from personal identification information associated with the seller profile.

In another embodiment, the iteratively comparing may be modulated by an iteration frequency. Accordingly, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Additionally, at least one of the listing price and the offer price may change from a first value to a second value in corresponding relation to the iteration frequency. In some instances, the strike price may be substantially free from information associated with the change from the first value to the second value. Of note, the strike price may correspond to a median value of the time-dependent price range.

According to another embodiment, the method may further include opening, at a database of the network server, an escrow account at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. In this regard, the buyer may be associated with the first offer object and the seller may be associated with the first listing object. The opening step may further include accepting good funds at the escrow account from the buyer and accepting a token indicative of custody of the first variable characteristic asset at the escrow account. The method may further include clearing the escrow account by transmitting the good funds from the escrow account to the seller and transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent listing price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the method may further include receiving, at the processor of the network server, a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile may be at least one of: (1) greater than the listing price of the first listing profile, and (2) received after the listing price of the first listing profile. Correspondingly, the method may further include receiving, at the processor of the network server, a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile may be at least one of: (1) less than the offer price of the first offer profile, and (2) received after the offer price of the first offer profile.

In this regard, a second aspect of the present disclosure includes a method for use in asynchronous tendering for variable characteristic assets within a distributed network. The method includes establishing a first offer object that includes a first offer profile. The first offer profile may be indicative of an offer price corresponding to a first variable characteristic asset. The method further includes transmitting, over one or more networks of the distributed network, the first offer object to a processor of a network server via a network server portal for iterative comparison by the processor with a first listing object. The first listing object may include a first listing profile indicative of a listing price corresponding to the first variable characteristic asset. In this regard, at least one of the listing price and the offer price may include a time-dependent price. The method further includes receiving a strike price. In this regard, the iterative comparison may include iteratively comparing the established first offer object with the first listing object to determine a time-dependent price range corresponding to the first variable characteristic asset at a given time. Notably, the time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time such that the received strike price may be at least partially based on the time-dependent price range of the iterative comparison.

A number of feature refinements and additional features are applicable in the second aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following feature combinations that will be discussed may be, but are not required to be, used with any other feature combinations of the second aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to the first variable characteristic asset. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first offer object to the processor of the network server via the network server portal for verifying the condition-dependent status of the first variable characteristic asset. The verifying may include identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Notably, each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. In this regard, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first offer object to the processor of the network server via the network server portal for determining a condition-dependent verification score at least partially based on said associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record. Notably, the physical condition of the variable characteristic asset of the variable characteristic asset record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. Additionally, the inspection may include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record.

According to another embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on the historical transactional data. Accordingly, the strike price may be at least partially based on the condition-dependent verification score.

In this regard, in an embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction. Accordingly, the receiving step may further include receiving a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric may include an average strike price corresponding to the completed strike price for the at least one completed transaction. Additionally, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction completion metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be substantially free from personal identification information associated with the seller profile.

In another embodiment, the iterative comparison may be modulated by an iteration frequency. Accordingly, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Additionally, at least one of the listing price and the offer price may change from a first value to a second value in corresponding relation to the iteration frequency. In some instances, the strike price may be substantially free from information associated with the change from the first value to the second value. Of note, the strike price may correspond to a median value of the time-dependent price range.

According to another embodiment, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first offer object to the processor of the network server via the network server portal for opening, at a database of the network server, an escrow account at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. In this regard, the buyer may be associated with the first offer object and the seller may be associated with the first listing object. In this regard, the opening step may further include accepting good funds at the escrow account from the buyer, and accepting a token indicative of custody of the first variable characteristic asset at the escrow account. The transmitting step may further include transmitting, over the one or more networks of the distributed network, the first offer object to the processor of the network server via the network server portal for clearing the escrow account by transmitting the good funds from the escrow account to the seller and transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent listing price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the processor of the network server may include a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile may be at least one of: (1) greater than the listing price of the first listing profile, and (2) later in time than the listing price of the first listing profile. Correspondingly, the processor of the network server may include a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile may be at least one of: (1) less than the offer price of the first offer profile, and (2) later in time than the offer price of the first offer profile.

In this regard, a third aspect of the present disclosure includes a method for use in asynchronous tendering for variable characteristic assets within a distributed network. The method includes establishing a first listing object that includes a first listing profile. The first listing profile may be indicative of a listing price corresponding to a first variable characteristic asset. The method further includes transmitting, over one or more networks of the distributed network, the first listing object to a processor of a network server via a network server portal for iterative comparison by the processor with a first offer object. The first offer object may include a first offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, at least one of the listing price and the offer price may include a time-dependent price. The method further includes receiving a strike price. In this regard, the iterative comparison may include iteratively comparing the established first listing object with the first offer object to determine a time-dependent price range corresponding to the first variable characteristic asset at a given time. Notably, the time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time such that the received strike price may be at least partially based on the time-dependent price range of the iterative comparison.

A number of feature refinements and additional features are applicable in the third aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following features that will be discussed may be, but are not required to be, used with any other feature combinations of the third aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to the first variable characteristic asset. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first listing object to the processor of the network server via the network server portal for verifying the condition-dependent status of the first variable characteristic asset. In this regard, the verifying may include identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Of note, each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. In this regard, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first listing object to the processor of the network server via the network server portal for determining a condition-dependent verification score at a least partially based on the associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record. Notably, the physical condition of the variable characteristic asset of the variable characteristic assert record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. Additionally, the inspection may include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record.

According to another embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on historical transactional data. Accordingly, the strike price is at least partially based on the condition-dependent verification score.

In this regard, in an embodiment, the first listing object may be associated with a seller profile. Notably, the seller profile may include historical transactional data corresponding to at least one completed transaction. In this regard, the receiving step may further include receiving a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric may include an average strike price corresponding to the completed strike price for the at least one completed transaction. Additionally, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be free from personal identification information associated with the seller profile.

In another embodiment, the iterative comparison may be modulated by an iteration frequency. Accordingly, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Additionally, at least one of the listing price and the offer price may change from a first value to a second value in corresponding relation to the iteration frequency. In some instances, the strike price may be substantially free from information associated with the change from the first value to the second value. Of note, the strike price may correspond to a median value of the time-dependent price range.

According to another embodiment, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first listing object to the processor of the network server via the network server portal for opening, at a database of the network server, an escrow account at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. In this regard, the buyer may be associated with the first offer object and the seller may be associated with the first listing object. The opening step may further include accepting good funds at the escrow account from the buyer, and accepting a token indicative of custody of the first variable characteristic asset at the escrow account. In this regard, the transmitting step may further include transmitting, over the one or more networks of the distributed network, the first listing object to the processor of the network server via the network server portal for clearing the escrow account by transmitting the good funds from the escrow account to the seller and transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent listing price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the processor of the network server may include a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile may be at least one of: (1) greater than the listing price of the first listing profile, and (2) later in time than listing price of the first listing profile. Correspondingly, the processor of the network server may include a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile may be at least one of: (1) less than the offer price of the first offer profile, and (2) later in time than the offer price of the first offer profile.

In this regard, a fourth aspect of the present disclosure includes a computer executed system on a computing device for asynchronous tendering for variable characteristic assets within a distributed network. The computer executed system includes a client, executable by a processor of the computer executed system, operative to receive a first listing object that includes a first listing profile and a first offer object that includes a first offer profile. The first listing profile may be indicative of a listing price corresponding to a first variable characteristic asset, and the first offer profile may be indicative of an offer price corresponding to the first variable characteristic asset. Notably, the at least one of the listing price and the offer price may include a time-dependent price. The computer executed system further includes an iterative comparator engine, executable by the processor of the computer executed system, configured to iteratively compare the received first listing object with the received first offer object to determine a time-dependent price range for the first variable characteristic asset at a given time. In this regard, the time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time. The computer executed system further includes a portal, executable by the processor of the computer executed system, operative to transmit a strike price. The strike price may be at least partially based on the time-dependent price range.

A number of feature refinements and additional features are applicable in the fourth aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following features that will be discussed may be, but are not required to be, used with any other feature combinations of the fourth aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to the first variable characteristic asset. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the computer executed system may further include a verification engine, executable by the processor of the computer executed system. The verification engine may be configured to verify the condition-dependent status of the first variable characteristic asset by identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Notably, each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. The verification engine may also be configured to determine a condition-dependent verification score at least partially based on the associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record. The physical condition of the variable characteristic asset record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. The inspection may include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record. As such, the first listing object may be associated with a seller profile. The seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on the historical transactional data. In some instances, the strike price may be at least partially based on the condition-dependent verification score.

According to another embodiment, the first listing object may be associated with a seller profile. The seller profile may include transactional data corresponding to at least one completed transaction. In this regard, the portal of the computer executed system may be further operable to transmit a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric may include an average strike price corresponding to the completed strike price for the at least one completed transaction. Furthermore, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction completion metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be substantially free from personal identification information associated with the seller profile.

In this regard, in an embodiment, the iterative comparison of the iterative comparison engine may be modulated by an iteration frequency. Notably, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Furthermore, the listing price and the offer price may change from a first value to a second value in corresponding relation to the iteration frequency. In some instances, the strike price may be substantially free from information associated with the change from the first value to the second value. Additionally, the strike price may correspond to a median value of the time-dependent price range.

In another embodiment, the computer executed system further includes an escrow engine, executable by the processor of the computer executed system, configured to open an escrow account at a database of the computer executed system at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. The buyer may be associated with the first offer object and the seller may be associated with the first listing object. In this regard, the escrow engine may be further operable to accept good funds at the escrow account from the buyer, and accept a token indicative of custody of the first variable asset at the escrow account. Additionally, the escrow engine may be operable to clear the escrow account by transmitting the good funds from the escrow account to the seller and by transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent listing price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the client of the computer executed system may be further operable to receive a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile may be at least one of: (1) greater than the listing price of the first listing profile, and (2) received after the listing price of the first listing profile. Correspondingly, the client of the computer executed system may be further operable to receive a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile may be at least one of: (1) less than the offer price of the first offer profile, and (2) received after the offer price of the first offer profile.

In this regard, a fifth aspect of the present disclosure includes a system for asynchronous tendering for variable characteristic assets within a distributed network. The system includes an access terminal remote from and in operative communication with a computer-executed system. The computer-executed system may be operable to receive a first offer object established by a given user at the access terminal. Furthermore, the first offer object may include a first offer profile indicative of an offer price corresponding to a first variable characteristic asset, and the computer-executed system may be operable to iteratively compare the first offer object with a first listing object. In this regard, the first listing object may include a first listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, at least one of the listing price and the offer price may include a time-dependent price. The system further includes a user interface provided at the access terminal for receiving a strike price generated by the computer-executed system. In this regard, the iterative comparison may include iteratively comparing the first offer object with the first listing object to determine a time-dependent price range corresponding to the first variable characteristic asset at a given time. The time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time such that the received strike price may be at least partially based on the time-dependent price range of the iterative comparison.

A number of feature refinements and additional features are applicable in the fifth aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following features that will be discussed may be, but are not required to be, used with any other feature combinations of the fifth aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to the first variable characteristic asset. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the computer executed system may be operable to verify the condition-dependent status of the first variable characteristic asset by identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Notably, each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. Additionally, the computer executed system may be operable to determine a condition-dependent verification score at least partially based on the associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record, said physical condition of said variable characteristic asset of said variable characteristic asset record. The physical condition of the variable characteristic asset of said variable characteristic asset record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. The inspection may include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record. As such, the first listing object may be associated with a seller profile. The seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on the historical transactional data. In some instances, the strike price may be at least partially based on the condition-dependent verification score.

According to another embodiment, the first listing object may be associated with a seller profile. The seller profile may include historical transactional data corresponding to at least one completed transaction. In this regard, the user interface may be further operable to receive a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric includes an average strike price corresponding to the completed strike price for the at least one completed transaction. Furthermore, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction completion metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be substantially free from personal identification information associated with the seller profile.

In this regard, in an embodiment, the iterative comparison may be modulated by an iteration frequency. Notably, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Furthermore, at least one of the listing price and the offer price may change from a first value to a second value in corresponding relation to said iteration frequency. In some instances, the strike price may be substantially free from information associated with the change from the first value to the second value. Additionally, the strike price may correspond to a median value of the time-dependent price range.

In another embodiment, the computer executed system may be operable to open an escrow account at a database of the computer executed system at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. The buyer may be associated with the first offer object and the seller may be associated with the first listing object. In this regard, computer executed system may be further operable to accept good funds at the escrow account from the buyer, and to accept a token indicative of custody of the first variable characteristic asset at the escrow account. Additionally, the computer executed system may be operable to clear the escrow account by transmitting the good funds from the escrow account to the seller by transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the computer executed system may include, at a database of the computer executed system, a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile may be at least one of: (1) greater than said listing price of said first listing profile, and (2) later in time than said listing price of said first listing profile. Correspondingly, the computer executed system may include, at a database of the computer executed system, a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile may be at least one of: (1) less than the offer price of the first offer profile, and (2) later in time than the offer price of the first offer profile.

In this regard, a sixth aspect of the present disclosure includes a system for asynchronous tendering for variable characteristic assets within a distributed network. The system includes an access terminal remote from and in operative communication with a computer-executed system. The computer-executed system may be operable to receive a first listing object established by a given user at the access terminal. Furthermore, the first listing object may include a first listing profile indicative of a listing price corresponding to a first variable characteristic asset, and the computer-executed system may be operable to iteratively compare the first listing object with a first offer object. In this regard, the first offer object may include a first offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, at least one of the listing price and the offer price may include a time-dependent price. The system further includes a user interface provided at the access terminal for receiving a strike price generated by the computer executed system. In this regard, the iterative comparison may include iteratively comparing the first offer object with the first listing object to determine a time-dependent price range corresponding to the first variable characteristic asset at a given time. The time-dependent price range may be bounded by the listing price at a minimum value at the given time and by the offer price at a maximum value at the given time such that the received strike price may be at least partially based on the time-dependent price range of the iterative comparison.

A number of feature refinements and additional features are applicable in the sixth aspect and contemplated in light of the present disclosure. These feature refinements and additional features may be used individually or in any combination. As such, each of the following features that will be discussed may be, but are not required to be, used with any other feature combinations of the sixth aspect.

For example, in an embodiment, the first listing profile may be indicative of a condition-dependent status corresponding to said first variable characteristic asset. Notably, the condition-dependent status may be indicative of a physical condition of the first variable characteristic asset. In this regard, the computer executed system is operable to verify the condition-dependent status of the first variable characteristic asset by identifying associations between the first listing object and at least one of a plurality of variable characteristic asset records. Notably, each of the at least one of the plurality of variable characteristic asset records may correspond to a variable characteristic asset and include certification data for the variable characteristic asset. The computer executed system may also be operable to determine a condition-dependent verification score at least partially based on the associations.

In another embodiment, the certification data may be indicative of a physical condition of the variable characteristic asset of the variable characteristic asset record. In this regard, the physical condition of the variable characteristic asset of the variable characteristic asset record may be at least partially based on an inspection. In this regard, the condition-dependent verification score may be at least partially based on a comparison of the physical condition of the first variable characteristic asset with the physical condition of the variable characteristic asset of the variable characteristic asset record. The inspection may also include independently audited data indicative of the physical condition of the variable characteristic asset of the variable characteristic asset record. As such, the first listing object may be associated with a seller profile. The seller profile may include historical transactional data corresponding to at least one completed transaction such that the condition-dependent verification score may be at least partially based on historical transactional data. In some instances, the strike price may be at least partially based on the condition-dependent verification score.

According to another embodiment, the first listing object may be associated with a seller profile. The seller profile may include transactional data corresponding to at least one completed transaction. In this regard, the user interface may be further operable to receive a generated comparison metric at least partially based on the at least one completed transaction. In this regard, the at least one completed transaction may include a completed strike price, and the comparison metric may include an average strike price corresponding to the completed strike price for the at least one completed transaction. Furthermore, the at least one completed transaction may include at least one historical listing price and at least one historical offer price, and the comparison metric may include a transaction completion metric. In this regard, the transaction metric may be indicative of at least one of: (1) a completed transaction rate for each of the historical listing price and the historical offer price, and (2) a completed transaction time for each of the historical listing price and the historical offer price. In some instances, the comparison metric may be substantially free from personal identification information associated with the seller profile.

In this regard, in an embodiment, the iterative comparison may be modulated by an iteration frequency. Notably, the iteration frequency may be at least partially based on at least one of a regular periodic interval, a variable characteristic asset-specific interval, a decreasing interval, an increasing interval, and a variable interval. Furthermore, at least one of the listing price and the offer price changes from a first value to a second value in corresponding relation to the iteration frequency. In some instances, the strike price may be free from information associated with the change from the first value to the second value. Additionally, the strike price may correspond to a median value of the time-dependent price range.

In another embodiment, the computer executed system may be operable to open an escrow account at a database of the computer executed system at least partially based on a received indication of an acceptance of the strike price by a buyer and a seller. The buyer may be associated with the first offer object and the seller may be associated with the first listing object. In this regard, the computer executed system may be operable to accept good funds at the escrow account from the buyer, and to accept a token indicative of custody of the first variable characteristic asset at the escrow account. Additionally, the computer executed system may be operable to clear the escrow account by transmitting the good funds from the escrow account to the seller by transmitting the token from the escrow account to the buyer.

In some instances, the first variable characteristic asset may include a used component for use in an aircraft. Furthermore, the listing price may include a time-dependent price, and the offer price may include a time-dependent offer price.

In yet another embodiment, the computer executed system may include, at a database of the computer executed system, a second listing object that includes a second listing profile indicative of a listing price corresponding to the first variable characteristic asset. Notably, the listing price of the second listing profile is at least one of: (1) greater than the listing price of the first listing profile, and (2) later in time than the listing price of the first listing profile. Correspondingly, the computer executed system may include, at a database of the computer executed system, a second offer object that includes a second offer profile indicative of an offer price corresponding to the first variable characteristic asset. Notably, the offer price of the second offer profile is at least one of: (1) less than the offer price of the first offer profile, and (2) later in time than the offer price of the first offer profile.

