Automated Multi-Server Cloud Reconciliation for High-Volume Transfers

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Solution Overview

Problem

Existing data transfer processes between entities in cloud management systems are inefficient and manual, particularly when handling millions of data transfers simultaneously, requiring manual entry and multiple server connections for data reconciliation.

Innovation Solution

A system and method for automated data reconciliation that facilitates data transfer and reconciliation across multiple servers, using a designated server to drive data elements and perform automatic recording, with features like data transfer and reconciliation mechanisms, enabling secure cloud-based data management and payment processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data transfer processes are used between servers, then data security can be maintained through controlled access, but productivity and efficiency deteriorate due to manual entry requirements for millions of data transfers

Engineering Contradiction:

Improvedata transfer efficiencyVSAvoidsystem automation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary automated system that acts as a mediator between sending and receiving servers. This intermediary system handles the complex automation tasks including generating transfer requests, receiving statements, performing reconciliations, and executing payments, thereby enabling high-volume automated data transfers without requiring the sending and receiving servers to directly complex interactions with each other.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the data transfer system into distinct functional components: a sending server that initiates transfers, an intermediary automated system that manages the transfer process including statement reception and reconciliation, and a receiving server that processes incoming data. This segmentation allows each component to specialize in specific tasks, improving overall efficiency while managing complexity through modular design.

Inventive Principle:

Principle #1Segmentation

2Reliability

If multiple server connections are used for data reconciliation, then data accuracy and security are improved, but device complexity and operational difficulty increase

Engineering Contradiction:

Improvedata reconciliation accuracyVSAvoidsystem operation simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The automated system performs self-service by automatically receiving statements from receiving servers, conducting reconciliations between transfer requests and received data, and executing payments without human intervention. The system autonomously manages multiple server connections, handling the complexity of coordinating between sending servers, receiving servers, and payment processors while maintaining high accuracy through automated verification processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent implements feedback mechanisms where the automated system receives statements from receiving servers that confirm data receipt and processing status. This feedback loop enables the system to verify successful transfers, identify discrepancies through automated reconciliation, and trigger corrective actions such as retrying failed transfers or adjusting payments, thereby maintaining high reliability while simplifying operation through closed-loop control.

Inventive Principle:

Principle #23Feedback

3Productivity

If automated systems are implemented for data transfer, then productivity increases, but the risk of system errors and security vulnerabilities increases

Engineering Contradiction:

Improveautomated data processing speedVSAvoidsystem error risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The automated system incorporates continuous feedback through statement reception and automated reconciliation processes. Each data transfer is verified by comparing the transfer request against the received data and payment confirmation, creating multiple checkpoints that detect and correct errors before they propagate. This feedback-driven verification significantly reduces system errors while maintaining high automated processing speeds.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent implements prior cushioning through pre-transaction verification and reconciliation processes. Before executing payments or finalizing transfers, the system performs automated reconciliations that verify data integrity, validate transaction details, and confirm receiving server readiness. These preliminary checks cushion against potential errors and security vulnerabilities by identifying and addressing issues before they can cause harm, thereby enabling safe high-speed automated processing.

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

Data Source

PatentUS12388895B2Multiple server automation for secure cloud reconciliation

Publication Date: 2025.08.12 XERO

AI summary

In various example embodiments, a system and method for automated data reconciliation processing is presented. The system receives a data movement request with a first status indicator and appends a unique request code to the data movement request. The system causes presentation of the data movement request at a client device and receives a movement response from a second server via a network. The system modifies the first status indicator of the data movement request to a second status indicator to provisionally reflect the receipt of the movement response and verifies the indication of movement from a receiving entity.