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, enabling auto-generation of tasks and reconciliation processes, and utilizes a distributed ledger for transaction records, ensuring automated task execution and dispute resolution without manual intervention.
Engineering Contradictions & Design Principles
Engineering 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
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 for multiple separate commands across different interfaces.
Solution Approach 2:
The system implements self-service automation where the platform automatically executes subsequent commands, performs task coordination, and reconciles transactions without requiring manual user intervention. Once triggered by a single user command, the system autonomously manages the entire task lifecycle including cross-device coordination and dispute resolution.
2Reliability
If manual reconciliation of discrepancies is performed, then transaction accuracy is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor transactions across devices and platforms. Discrepancies are automatically detected, flagged, and reconciled through predefined rules and algorithms, providing real-time feedback without manual intervention. This maintains transaction accuracy while eliminating time-consuming manual reconciliation processes.
Solution Approach 2:
The system performs preliminary automated reconciliation checks before transactions are finalized. By pre-configuring reconciliation rules and executing them automatically as part of the transaction workflow, the system prevents discrepancies rather than requiring post-hoc manual correction, thereby maintaining accuracy while reducing time loss.
3Productivity
If automated task generation is implemented, then productivity increases, but system complexity increases
Solution Approach 1:
The patent implements a universal automated task generation system that handles multiple task types, devices, and platforms through a single multi-functional framework. The system uses standardized protocols and interfaces that can accommodate various task scenarios without requiring separate automation logic for each case, thereby increasing productivity while controlling system complexity through reuse and standardization.
4Reliability
If distributed ledger technology is used for transaction records, then transaction integrity is enhanced, but data storage requirements increase
Solution Approach 1:
The system extracts and stores only essential transaction data elements in the distributed ledger, separating critical integrity-information (transaction hashes, timestamps, participant identifiers) from detailed transaction data. This selective extraction maintains transaction integrity through cryptographic verification while minimizing data storage requirements by storing only the minimal necessary information on-chain.
Data Source
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 obtaining, from a user device associated with a first resource of a dynamic modeling system, a dynamic final event comprising data representing a transaction of the dynamic modeling system; generating, by a rule monitor of the dynamic modeling system and using the data representing the transaction, a task chain for the plurality of tasks, comprising: generating a plurality of tasks in the task chain, and determining, for each task in the task chain, one or more criteria for executing the task; and for each task of the plurality of tasks: determining, by the rule monitor, that the one or more criteria for executing the task are satisfied; and in response to determining that the one or more criteria are satisfied, executing the task.


