Full-Link Reconciliation with Snowflake IDs for Cross-Border Payments

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Solution Overview

Problem

The cross-border payment industry lacks a unified standard for overseas banks, resulting in ultra-long transaction links that are difficult to reconcile, with service data and fund data transferred through different channels, making it challenging to form a closed-loop link, and current solutions are inadequate.

Innovation Solution

A full-link reconciliation method based on a snowflake algorithm, involving a unified reconciliation center, reconciliation rule engine, and optimized ID generation, to convert and reconcile bill data, generate unique target IDs, and trace the flow of information and fund data for a complete closed-loop reconciliation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is transferred through different bank channels for cross-border payments, then service data and fund data can be processed independently, but it becomes difficult to form a complete closed-loop link for reconciliation

Engineering Contradiction:
Improveindependence of data processingVSAvoidclosed-loop reconciliation
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces a unified reconciliation center as an intermediary system that receives data from multiple independent bank channels and service systems. This center standardizes and integrates the data from different sources, enabling closed-loop reconciliation while preserving the independence of individual data transfer channels. The reconciliation center acts as the mediator that connects otherwise disconnected data flows.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a universal reconciliation system that handles multiple types of data (service data, fund data, information flow data) through a single standardized interface. The unified reconciliation center provides multi-functional capabilities to process various data formats and reconciliation scenarios, enabling closed-loop verification across different channels while maintaining their independence.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If a unified standard is implemented for cross-border payment reconciliation, then data consistency can be improved, but the complexity of integrating different bank formats increases

Engineering Contradiction:
Improvedata consistencyVSAvoidintegration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The unified reconciliation center serves as an intermediary that absorbs the complexity of integrating different bank formats. It provides standardized interfaces for data ingestion while handling the transformation and normalization internally, thus achieving data consistency without exposing the integration complexity to external systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent employs data copying and transformation mechanisms where the reconciliation center creates standardized copies of data from various bank formats. By copying and normalizing data internally rather than requiring direct integration between systems, the solution achieves data consistency while isolating integration complexity within the reconciliation center.

Inventive Principle:
Principle #26Copying

3Adaptability or versatility

If manual reconciliation processes are used for ultra-long transaction links, then flexibility in handling different scenarios is maintained, but operating efficiency decreases

Engineering Contradiction:
Improveflexibility in handling scenariosVSAvoidoperating efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements automated reconciliation systems that perform self-service verification of data consistency across ultra-long transaction links. The system automatically matches service data with fund data, identifies discrepancies, and executes reconciliation processes without manual intervention, thereby maintaining scenario flexibility while dramatically improving operating efficiency.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The reconciliation system is designed to be dynamic and adaptable, automatically adjusting its verification processes based on different transaction scenarios. The system can handle varying data formats, transaction types, and reconciliation rules dynamically, providing both flexibility and high-speed automated processing.

Inventive Principle:
Principle #15Dynamics

4Loss of information

If unique identifiers are generated for tracking bills across information flow and fund flow, then traceability is improved, but the complexity of ID generation and management increases

Engineering Contradiction:
ImprovetraceabilityVSAvoidID generation complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges the ID generation and management functions into the unified reconciliation center. By consolidating these functions in a single system rather than distributing them across multiple independent systems, the solution improves traceability while managing complexity centrally. The reconciliation center generates and manages unique identifiers that track bills across both information flow and fund flow.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20250252506A1Full-link reconciliation method based on snowflake algorithm, apparatus, device, and medium
Publication Date: 2025.08.07 HANGZHOU PINGPONG INTELLIGENT TECH CO LTD
  • US20250252506A1 patent drawing
  • US20250252506A1 patent drawing
  • US20250252506A1 patent drawing

AI summary

A full-link reconciliation method based on a snowflake algorithm, an apparatus, a device, and a medium are provided. The method includes: responding to a reconciliation request of a cross-border service and acquiring bill source data from a service end; parsing the bill source data, and converting the bill source data into target bill data; calling a reconciliation rule engine to acquire a corresponding reconciliation rule, selecting a corresponding reconciliation algorithm, and performing a full-link reconciliation task on the target bill data to acquire a reconciliation result; transmitting unbalanced data to a corresponding exception processing system for a check processing of abnormal data; generating, based on an optimized snowflake algorithm, a unique target ID to perform a corresponding bill association with the reconciliation result, automatically penetrating, according to the unique target ID corresponding to the reconciliation result, full link data of an information flow and a fund flow, and tracing, according to the unique target ID, a whole process of the corresponding bill flowing between the fund flow and the information flow, to achieve a complete closed-loop of reconciliation.