Guaranteed Offer Generator for Asset Valuation Risk

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Solution Overview

Problem

The auction and consignment industries face challenges in providing guaranteed offers that mitigate risk for sellers while ensuring reasonable sales prices for assets, as existing methods often result in low-ball sales or excessive risk for the selling entity.

Innovation Solution

A system and method for automatically generating guaranteed offers using a Guaranteed Offer Generator (GOG) that processes data through a server system, incorporating depreciation, demographics, and conversion probability assessment engines to determine a valid baseline price and adjust it accordingly, thereby minimizing risk for both the asset owner and the guarantor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a guaranteed offer is provided to eliminate seller risk, then the seller's security is improved, but the risk transferred to the guarantor increases

Engineering Contradiction:
Improveseller's securityVSAvoidrisk for guarantor
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a guarantor as an intermediary entity that assumes the risk between the seller and the auction house. The guarantor provides a guarantee fund that protects the seller against low-ball sales, while the auction house retains control over the actual selling process. This intermediary structure allows risk transfer to a specialized party that can better manage and price that risk.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent changes the risk parameter by introducing a guarantee fund with a specific monetary value that caps the guarantor's exposure. The guarantee amount is set as a parameter that can be adjusted based on the asset value and market conditions, transforming the unlimited risk into a controlled, parameterized risk that the guarantor can manage.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If traditional auction methods are used to maintain market-driven pricing, then price accuracy is improved, but seller risk increases

Engineering Contradiction:
Improveprice accuracyVSAvoidseller security
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent segments the pricing function from the risk-bearing function. The auction house continues to perform the pricing function through market-driven bidding processes, while the guarantor separately handles the risk function through the guarantee fund. This segmentation allows both price accuracy and seller security to be optimized independently.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The guarantor provides preliminary protection to the seller before the auction takes place by establishing the guarantee fund in advance. This preliminary action ensures that the seller has security coverage before entering the market-driven auction process, eliminating the need to choose between risk and price accuracy.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If the auction house assumes full risk to provide guaranteed offers, then seller security is improved, but the auction house's financial exposure increases

Engineering Contradiction:
Improveseller securityVSAvoidfinancial exposure
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The guarantor acts as an intermediary that absorbs the financial exposure, allowing the auction house to provide guaranteed offers without directly bearing the full financial risk. The guarantee fund is held by or on behalf of the guarantor, separating the auction house's operational role from the risk-bearing role.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Object-affected harmful factors

If conservative pricing is used to protect the guarantor, then risk mitigation is improved, but the offer becomes less appealing to sellers

Engineering Contradiction:
Improverisk mitigationVSAvoidoffer appeal
Core Design Contradiction:
Object-affected harmful factorsVSAdaptability or versatility

Solution Approach 1:

The guarantee amount is made dynamic rather than fixed, allowing it to adjust based on market conditions, asset type, and risk assessment. This dynamic parameter enables the system to provide higher guarantees for lower-risk scenarios (increasing appeal) while maintaining appropriate risk mitigation for higher-risk cases.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11138620B1Guaranteed offer generator
Publication Date: 2021.10.05 XCIRA
  • US11138620B1 patent drawing
  • US11138620B1 patent drawing
  • US11138620B1 patent drawing

AI summary

Automatically generating guaranteed offers for commodities and non-commodities As such, the present disclosure presents various embodiments, as well as features and aspects thereof, of a guaranteed offer generator (“GOG”). The GOG accumulates and assimilates data, and then algorithmically processes this data with a server system to generate a guaranteed offer that, while removing the risk of an asset owner relinquishing his or her property in response to a low-ball sell, does not create an unacceptably high risk on the part of the guaranteed offeror.