Keyword-Modifier Chat Command Processing for Financial Support
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Solution Overview
Problem
Financial institutions face challenges in efficiently managing customer interactions through automated virtual support agents, as existing chat support platforms struggle to process keyword-based commands accurately and provide comprehensive support, leading to user frustration and increased operational costs.
Innovation Solution
A computing device and method that enables a virtual chat communication platform to store and process keyword and modifier combinations, allowing for accurate command execution and providing users with help options, while supporting multiple simultaneous chat sessions to enhance user experience and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated virtual support agents are implemented to reduce call and chat density, then operational costs and manual intervention requirements are reduced, but the ability to accurately process keyword-based commands and provide comprehensive support deteriorates
Solution Approach 1:
The command processing system is segmented into distinct components: a keyword identification module that extracts potential keywords from user input, a modifier detection module that identifies qualifying terms, and a validation module that verifies command structure. This segmentation allows each component to specialize in specific processing tasks, improving overall accuracy while maintaining automated efficiency.
Solution Approach 2:
An intermediary processing layer is introduced between the user's natural language input and the core support system. This intermediary layer includes a command structure validator that checks for proper syntax and a keyword-modifier matcher that ensures semantic correctness, thereby bridging the gap between automated processing and reliable command execution.
2Device complexity
If existing chat support platforms use basic keyword matching, then implementation complexity is reduced, but the ability to provide comprehensive support and reduce user errors deteriorates
Solution Approach 1:
The chat support platform is designed with universal components that can handle multiple functions: the same keyword-modifier processing framework handles various command types (transfers, payments, account inquiries), and the error detection mechanisms work across different command structures. This multi-functionality approach allows comprehensive support capabilities without proportionally increasing implementation complexity.
Solution Approach 2:
The system uses parameter-based command structures where keywords represent action types and modifiers represent specific parameters or targets. By changing the parameters (keywords and modifiers) rather than the underlying processing logic, the system can adapt to handle diverse support scenarios while maintaining a consistent, relatively simple implementation framework.
3Extent of automation
If keyword-based command processing is implemented, then automated support capability is improved, but user errors increase due to incorrect command syntax
Solution Approach 1:
The system implements feedback mechanisms that provide real-time validation to users. When a user inputs a command, the system immediately checks for proper syntax, valid keywords, and correct modifier usage, then provides specific error messages guiding the user to correct their input. This feedback loop reduces user errors by helping users learn the correct command syntax through direct interaction.
Solution Approach 2:
The system performs preliminary validation of command syntax and structure before processing the actual request. By checking for proper keyword-modifier pairing and valid command formats in advance, the system prevents erroneous commands from reaching the execution stage, thereby reducing user errors while maintaining high automated support capability.
Data Source
AI summary
A computing device, a computer program product, and a computer-implemented method for delivering enhanced financial services and, more particularly, for facilitating a virtual chat communication session with a support agent. A user can request an operation in the virtual chat communication session by typing in a command which includes a keyword and a modifier for the keyword. The command would then be parsed by the computing device and when found to be a valid command, it would then be implemented.