Chat Abstraction Layer for Triggered Transactions and Document Records
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Solution Overview
Problem
Current automated transaction methods lack automation in executing transactions based on message triggers and integrating transaction records with underlying documents, requiring user configuration and manual initiation.
Innovation Solution
Implementing a computing system that uses natural language processing to identify transaction triggers in messages or voice chats, automatically execute transactions, and integrate transaction records with underlying documents such as invoices or IOUs, through a messaging service with an abstraction layer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automated transaction processing is implemented through linked accounts, then transaction execution speed is improved, but user configuration complexity increases
Solution Approach 1:
The system performs natural language processing on chat messages to automatically identify transaction triggers and execute transactions without requiring users to manually configure transaction parameters. The system serves itself by autonomously parsing messages, detecting intents, and initiating transactions based on conversational content.
Solution Approach 2:
The patent introduces a messaging service as an intermediary layer between users and the transaction processing system. This abstraction layer allows users to interact with the transaction system through natural language messages rather than complex configuration interfaces, simplifying the user experience while maintaining automated processing capabilities.
2Reliability
If manual transaction initiation is required, then transaction accuracy is improved, but productivity decreases
Solution Approach 1:
The system incorporates a feedback mechanism where transaction details extracted from chat messages are presented to users for confirmation before execution. This allows the system to automatically process transactions at high speed while maintaining accuracy through user verification of the detected transaction parameters.
Solution Approach 2:
The system performs preliminary analysis of chat messages to identify and extract transaction parameters before actual transaction execution. By pre-processing and validating transaction details from natural language input, the system prepares accurate transaction data in advance, reducing errors during execution while maintaining high processing throughput.
3Loss of information
If transaction records are integrated with underlying documents, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent merges transaction records with underlying documents by associating chat messages containing transaction triggers with relevant transaction data. This integration combines conversational context with formal transaction records in a unified structure, ensuring information completeness without requiring separate complex document management systems.
Solution Approach 2:
The messaging service is designed as a multi-functional system that simultaneously handles communication, transaction trigger detection, and document association. This universal platform performs multiple functions through a single interface, reducing overall system complexity while achieving comprehensive information integration.
Data Source
AI summary
A computing system can provide an interface for users of a messaging service to exchange messages with other users of the messaging service. The system can associate each exchange of messages with an underlying document, and structure the underlying document of each message exchange so that each message as a comment that is embedded or linked to the document.