Dynamic Modeler for Automated Task Reconciliation

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Solution Overview

Problem

Conventional platforms require multiple user commands across multiple interfaces to complete tasks, leading to inefficiencies and the need for manual reconciliation of discrepancies in transactions.

Innovation Solution

A dynamic modeler that generates a single shared event, cascading filter, and final event, powered by application context, to auto-generate tasks and ensure data integrity through a distributed ledger system, allowing for integrated IoT and non-IoT resource collaboration on a single platform.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple user commands across multiple interfaces are used to complete tasks, then task completion is achieved, but operational efficiency deteriorates and manual reconciliation is required

Engineering Contradiction:

Improvetask completion efficiencyVSAvoidnumber of commands required

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The patent merges multiple separate user commands and interfaces into a single unified command structure. The system consolidates task initiation, execution, and reconciliation into one automated workflow triggered by a single user command, eliminating the need to navigate multiple interfaces and issue separate commands for each step.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system implements self-service automation where the platform automatically performs task execution, data reconciliation, and cross-interface coordination without requiring manual intervention. Once triggered by a user command, the system autonomously manages the entire task lifecycle including resource allocation, event processing, and discrepancy resolution.

Inventive Principle:

Principle #25Self-service

2Reliability

If manual reconciliation of discrepancies is performed, then data accuracy can be verified, but time consumption and operational complexity increase

Engineering Contradiction:

Improvedata integrityVSAvoidreconciliation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system implements automated feedback mechanisms that continuously monitor task execution and data consistency across interfaces. Discrepancies are automatically detected and reported back to the system, which then triggers corrective actions without requiring manual verification. This closed-loop feedback system maintains data integrity while eliminating time-consuming manual reconciliation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent introduces an automated intermediary reconciliation layer that sits between different interfaces and processes. This intermediary automatically compares data across interfaces, identifies discrepancies, and resolves conflicts according to predefined rules, eliminating the need for manual intervention while ensuring data accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If a single shared event and automated task generation system are implemented, then operational efficiency improves, but system complexity increases

Engineering Contradiction:

Improveautomated task execution speedVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system implements a universal event processing architecture that handles multiple task types and interfaces through a single shared event structure. This multi-functional framework can process diverse tasks (financial transactions, resource allocation, data synchronization) using the same core event mechanism, reducing operational complexity despite the automated capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses parameter-based configuration to manage complexity. Instead of hardcoding different processing logic for each task type, the system changes behavioral parameters and rules dynamically based on the specific task context. This allows a single complex system to adapt to various scenarios through parameter adjustment rather than structural modification.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11782584B2Dynamic modeler

Publication Date: 2023.10.10 HAMZE HAYSSAM

AI summary

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamically modeling a page using dynamic data. One of the methods includes receiving, at a dynamic modeling system, a dynamic input request comprising data characterizing a single dynamic final event of a main task; automatically detecting one or more discrepancies in the single dynamic final event; generating, in response to the one or more discrepancies, a run-time task interface that identifies one or more dynamic options for responding to the one or more discrepancies, comprising: automatically generating a new child task of the main task for addressing the one or more discrepancies; and automatically determining a recipient resource of the new child task; sending, to the recipient resource, data characterizing the run-time task interface; receiving, from the recipient resource, data characterizing the completed child task; and automatically validating one or more fields of the completed child task.