Classification Microservices for Alternative Transaction Workflows
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Solution Overview
Problem
Existing transaction processing systems are complex and inflexible, leading to inefficiencies, missed deadlines, and additional costs due to suboptimal workflows and incomplete transaction processing, necessitating a need for dynamic and alternative processing solutions.
Innovation Solution
A transaction exchange platform utilizing a streaming data platform and microservices, with classification microservices that leverage machine-learning models to determine and implement alternative workflows for transaction objects, ensuring efficient and complete processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a monolithic payment processing system is used to accommodate multiple transaction types and workflows, then the system can handle diverse transaction requirements, but the system complexity increases and any single point of failure can halt the entire approval process
Solution Approach 1:
The patent divides the monolithic payment processing system into independent microservices, each responsible for specific transaction types or workflow steps. This segmentation allows the system to handle diverse transaction requirements while reducing overall complexity, as each microservice can be developed, deployed, and maintained independently.
Solution Approach 2:
The patent creates a universal transaction processing framework that can accommodate multiple transaction types through a common interface and routing mechanism. This framework provides multi-functionality without requiring separate systems for each transaction type, thereby managing complexity while maintaining versatility.
2Reliability
If the approval workflow is configured to enforce detailed regulations and security checks, then transaction processing reliability improves, but processing time increases and deadlines may be missed
Solution Approach 1:
The patent implements dynamic workflow configuration that can adjust the level of scrutiny and processing steps based on transaction characteristics, risk profiles, and regulatory requirements. This allows the system to maintain high reliability for complex transactions while reducing processing time for simpler, lower-risk transactions.
Solution Approach 2:
The patent changes key parameters of the approval process by implementing parallel processing paths, asynchronous validation steps, and conditional routing that can bypass certain checks based on pre-established criteria. This maintains reliability through comprehensive validation while reducing time loss through intelligent parameter adjustment.
3Ease of manufacture
If a single workflow is used for all transactions of a type, then the processing logic is simple to implement, but alternative more effective workflows cannot be utilized
Solution Approach 1:
The patent implements feedback mechanisms that monitor transaction processing outcomes and use this information to dynamically select or generate alternative workflows. The system learns from processing results and adjusts workflow selection to improve efficiency while maintaining implementation simplicity through automated decision-making.
Solution Approach 2:
The patent enables the system to automatically generate and select alternative workflows based on transaction characteristics and historical performance data, without requiring manual configuration for each scenario. This self-service capability maintains simplicity while improving productivity through adaptive workflow selection.
4Manufacturing precision
If comprehensive validation and approval steps are performed for each transaction, then processing accuracy improves, but transactions may stall or remain incomplete for significant periods
Solution Approach 1:
The patent performs preliminary validation and routing decisions before the main processing workflow begins. By pre-validating transaction data, pre-determining appropriate workflows, and pre-allocating processing resources, the system maintains high processing accuracy while reducing the duration of the main processing phase.
Solution Approach 2:
The patent implements continuous processing through asynchronous validation steps, parallel processing paths, and automated fallback mechanisms that prevent transactions from stalling. The system maintains continuity of useful action by ensuring that validation and approval processes continue without interruption through multiple concurrent channels.
Data Source
AI summary
Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions in accordance with corresponding workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Further, the microservices may leverage machine-learning models to determine whether transaction objects may be more effectively processed using alternative or secondary workflows. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows.