NLP Message Routing via Dynamic Tables
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Solution Overview
Problem
Enterprise organizations face inefficiencies in message processing due to the need for users to manually determine the correct service and format for messages, leading to sub-optimal processing and resource wastage.
Innovation Solution
A computing platform employing natural language processing and machine learning to automatically identify message intents, repack message content into appropriate formats, and route them to the correct backend systems, ensuring all necessary data is present before processing, thereby reducing the need for manual intervention and custom services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple processing services are implemented to handle different message formats, then message processing capability is improved, but system complexity and user burden increase
Solution Approach 1:
The patent implements a universal message processing service that can handle multiple message formats through dynamic table-driven routing. Instead of creating separate services for each message type, a single service uses configurable tables to determine routing decisions based on message content, sender, recipient, and other parameters. This approach maintains high adaptability while reducing system complexity.
Solution Approach 2:
The system changes parameters dynamically by evaluating multiple attributes of incoming messages (format, sender, recipient, priority, etc.) and using these parameters to determine routing decisions. The dynamic tables store parameter-based routing rules that allow the system to adapt to different message types without requiring separate processing services for each type.
2Reliability
If users manually determine the correct service and format for messages, then message routing accuracy may be improved, but processing efficiency and user experience deteriorate
Solution Approach 1:
The message processing system performs self-service by automatically analyzing incoming messages and determining the correct routing without requiring user intervention. The system evaluates message parameters against dynamic routing tables to autonomously make routing decisions, eliminating the need for users to manually determine the correct service or format while maintaining high routing accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where routing decisions are continuously refined based on message processing outcomes. The dynamic tables can be updated with new routing rules based on accumulated data, allowing the system to improve routing accuracy over time while maintaining automated efficiency.
3Productivity
If messages are processed without validation, then processing speed is improved, but error rates and resource wastage increase
Solution Approach 1:
The system performs preliminary validation and routing determination before actual message processing. By evaluating message parameters and determining the correct routing in advance using dynamic tables, the system ensures that messages are properly validated and routed before being forwarded to backend services, preventing errors and resource wastage while maintaining processing speed.
Data Source
AI summary
Aspects of the disclosure relate to using natural language processing techniques for automated message processing. A computing platform may receive a first message and may apply natural language processing algorithms to the first message to identify an intent associated with the first message and a confidence score associated with the identified intent. The computing platform may determine that the confidence score exceeds a predetermined intent identification threshold. In response to determining that the confidence score exceeds the predetermined intent identification threshold, the computing platform may identify a destination device associated with the intent and a corresponding structured format. The computing platform may generate a second message, which may include the intent and may conform to the structured format. The computing platform may send, to the destination device, the second message, which may cause the destination device to perform an action associated with the intent.