Resource Tokenization With Smart Contracts for Trust Ownership Transfer

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Solution Overview

Problem

Conventional resource management systems face challenges in efficiently and accurately tracking and managing trust resources, leading to inefficiencies, errors, and increased risk of misappropriation due to manual processes.

Innovation Solution

A system utilizing advanced computational models for resource tokenization, including digitization, smart contracts, and ownership engines to automate resource management, enabling fractional ownership and real-time updates on distributed networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual processes are used for resource tracking and management, then operational flexibility is maintained, but accuracy and efficiency deteriorate leading to errors and increased risk of misappropriation

Engineering Contradiction:

Improveaccuracy of resource trackingVSAvoidmanual process involvement

Core Design Contradiction:

ReliabilityVSExtent of automation

Solution Approach 1:

The system enables self-service through smart contracts that automatically execute resource management operations without manual intervention. The smart contracts self-validate and self-enforce agreement terms, eliminating the need for manual tracking while improving accuracy and preventing misappropriation through automated verification.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes with computational automation. Smart contracts use cryptographic algorithms and automated computation to track and manage resources, substituting human-operated mechanical systems with automated digital systems that enhance accuracy and reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If conventional resource management systems are used, then system simplicity is maintained, but productivity and efficiency deteriorate due to manual tracking and management processes

Engineering Contradiction:

Improveresource management efficiencyVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments resource management into modular smart contracts that can be independently deployed and executed. Each smart contract handles specific resource types or operations, allowing the system to scale productivity by adding modular components without proportionally increasing overall system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The smart contract platform provides universal functionality that can manage multiple resource types through a single automated system. This multi-functional approach increases productivity by consolidating various resource management tasks into one system rather than requiring separate manual processes for each resource type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If manual resource tracking processes are used, then computational resource consumption is reduced, but measurement precision and data accuracy deteriorate

Engineering Contradiction:

Improveresource data accuracyVSAvoidcomputing resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary validation and verification actions within smart contracts before resource transactions occur. This preliminary computational action ensures data accuracy and precision by validating agreements and resource states in advance, preventing erroneous transactions and reducing the need for corrective computational operations later.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements automated feedback mechanisms through smart contracts that continuously monitor and verify resource states. This feedback loop maintains measurement precision by automatically detecting and correcting data inconsistencies, ensuring accurate resource tracking while optimizing computational resource usage through efficient verification algorithms.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260072744A1Systems and methods for resource tokenization using advanced computational models for data analysis and automated processing

Publication Date: 2026.03.12 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for resource tokenization using advanced computational models for data analysis and automated processing. The present disclosure is configured to receive a resource from a distributed network, wherein the distributed network is configured to digitize the resource. Further, the present disclosure is configured to execute a smart contract, wherein the smart contract is configured to automate execution of an agreement. Further still, the present disclosure is configured to transmit a notification to a user device to provide real-time access to the resource and resource data. Further still, the present disclosure is configured to configure, via an ownership engine, the resource data, wherein the ownership engine provides ownership transfers based on the agreement. Further still, the present disclosure is configured to implement, via an implementation engine, the resource on the distributed network.