Tokenized Mesh Reconciliation for Real-Time Trade Anomalies

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Enterprise organizations face inefficiencies and compliance issues due to conflicting trade metadata processed by different computing systems, leading to lengthy manual interventions and failure to meet regulatory reporting requirements.

Innovation Solution

A dual-system reconciliation process involving real-time centralized reconciliations at trade processing engines and decentralized reconciliations using system-generated hashed tokenized trade digital DNA through an anomaly detection and reconciliation mesh analysis engine.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple computing systems process the same trade metadata, then processing capacity and system redundancy are improved, but conflicting trade metadata and processing errors occur

Engineering Contradiction:

Improveprocessing capacityVSAvoidtrade metadata consistency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system divides the reconciliation process into two independent segments: centralized reconciliation at trade processing engines and decentralized reconciliation at the mesh analysis engine. Each segment handles specific aspects of trade metadata validation, allowing parallel processing while maintaining consistency through structured data flow and defined reconciliation protocols.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If manual intervention is used to resolve conflicting trade metadata, then processing accuracy is improved, but processing time and operational complexity increase

Engineering Contradiction:

Improveanomaly detection accuracyVSAvoidreconciliation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The mesh analysis engine performs autonomous decentralized reconciliation of trade metadata without requiring manual intervention. The system automatically detects anomalies, validates trade data across multiple sources, and resolves conflicts through programmed reconciliation logic, eliminating the need for manual review while maintaining high detection accuracy.

Inventive Principle:

Principle #25Self-service

3Reliability

If centralized reconciliation is performed at all trade processing engines, then trade metadata consistency is improved, but system complexity and computational overhead increase

Engineering Contradiction:

Improvetrade metadata consistencyVSAvoidreconciliation system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The mesh analysis engine serves as an intermediary component that receives trade metadata from multiple processing engines and performs centralized reconciliation functions. This mediator approach consolidates complex reconciliation logic in a single dedicated system, simplifying the overall architecture while maintaining data consistency across all trading systems.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Difficulty of detecting and measuring

If decentralized reconciliation mesh analysis is implemented, then anomaly detection capability is improved, but data processing complexity and computational requirements increase

Engineering Contradiction:

Improveanomaly detection capabilityVSAvoiddata processing complexity

Core Design Contradiction:

Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The system creates simplified copies of trade metadata in the form of hashed tokens that represent the essential characteristics of trades without containing the full complex data structures. These tokenized representations enable efficient decentralized reconciliation and anomaly detection while reducing computational complexity and memory requirements compared to processing complete trade datasets.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250315890A1System and method for transaction reconciliation and anomaly detection using tokenized decentralized mesh

Publication Date: 2025.10.09 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to a dual-system reconciliation process of trades. A first real-time trade processing and centralized reconciliation engine may continuously process trades in real-time and may perform centralized reconciliation of the trades. An anomaly detection and reconciliation mesh analysis engine may tokenize trade metadata received from the first real-time trade processing and centralized reconciliation engine, generate tokenized trade digital DNA, generate hashed tokenized trade digital DNA, evaluate and validate the hashed data, and perform decentralized reconciliation mesh analysis of the hashed data using a reconciliation mesh. The anomaly detection and reconciliation mesh analysis engine may send one or more monitory policies from the reconciliation mesh to a user device and may receive a first monitory policy selection from the user device. The anomaly detection and reconciliation mesh analysis engine may update the decentralized reconciliation mesh based on the first monitory policy selection.