AI Digital Asset Selection for Compliant Cross-Blockchain Transfers
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Solution Overview
Problem
The current landscape of digital asset transactions faces inefficiencies due to the limitations of using a single type of asset, complex selection processes, and varying acceptance of digital assets, which complicates transactions and hinders their utility.
Innovation Solution
A computer-implemented method and system utilizing an intelligent computing system to determine an optimal combination of digital assets for transactions based on various factors, including asset type, value, regulatory compliance, and user preferences, facilitated by an orchestration layer for cross-blockchain transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of digital assets are held in a digital wallet, then the user has more asset diversity for transactions, but the selection process becomes more complex and time-consuming
Solution Approach 1:
The system enables self-service by automatically analyzing the user's digital asset portfolio and autonomously determining the optimal asset combination for transactions. The intelligent computing system evaluates multiple factors including tax implications, regulatory compliance, and user preferences to automatically select assets without requiring manual user intervention in the complex selection process.
Solution Approach 2:
The patent replaces the manual mechanical process of asset selection with an automated intelligent computing system. Instead of users manually evaluating and selecting from multiple digital assets based on complex criteria, the system uses automated algorithms to analyze the asset portfolio and determine optimal combinations, substituting human decision-making with computational analysis.
2Adaptability or versatility
If real-time negotiation of digital asset combinations is conducted between payer and payee, then transaction flexibility is improved, but the transaction time and complexity increase significantly
Solution Approach 1:
The system performs preliminary action by pre-calculating and preparing optimal digital asset combinations before the actual transaction occurs. The intelligent computing system analyzes the payer's asset portfolio and determines the best asset mix in advance, so that during the actual transaction, the pre-determined combination can be executed immediately without requiring real-time negotiation or calculation.
Solution Approach 2:
The patent introduces an intermediary intelligent computing system that mediates between the payer and payee. Instead of the parties directly negotiating asset combinations in real-time, the intermediary system automatically determines optimal combinations based on the payer's assets and transaction requirements, facilitating faster transactions while maintaining flexibility.
3Adaptability or versatility
If digital assets are used for transactions, then new forms of value transfer are enabled, but regulatory compliance and tax implications become more complex
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring regulatory requirements and tax implications related to digital asset transactions. The intelligent computing system evaluates how different asset selection choices impact regulatory compliance and tax obligations, using this feedback to adjust and optimize the recommended asset combinations, ensuring compliance while enabling versatile value transfer.
Data Source
AI summary
Computer-implemented method, and system implementing the same, for optimizing digital asset transactions, may include: custodying in one or more first data storage system digital assets. The method may determine with a transaction optimizer module of an intelligent computing system an optimal combination of digital assets for a transaction based on a set of factors. The method may further receive from the intelligent computing system into the one or more first data storage system the optimal combination digital assets for the transaction. The method may further send with the one or more first data storage system the optimal combination of digital assets to one or more second data storage system.