Appointment Adjustment System Using Language Model
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Solution Overview
Problem
Existing appointment adjustment systems require users to manually switch between communication tools and appointment management tools, leading to complex operations and limited versatility, especially when dealing with emails from unknown senders without a fixed format.
Innovation Solution
An appointment adjustment system that uses a language-analyzable machine learning model to acquire adjustment appointment data from communication data, allowing seamless transmission of this data to an appointment management tool, thereby simplifying the adjustment process and increasing user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If email software automatically adds appointments from emails with specific formats and specific senders, then appointment data acquisition is automated, but versatility is limited and cannot handle emails from unknown senders without fixed formats
Solution Approach 1:
The system uses a language model to enable the email software to understand and extract appointment data from various email formats and senders, not just predetermined formats. The language model allows the system to perform multiple functions: parsing structured emails, understanding unstructured natural language emails, and adapting to different sender styles, thereby achieving universal appointment data acquisition across diverse email types
Solution Approach 2:
The system changes the parameter of data interpretation from fixed format matching to flexible language-based understanding. By introducing a language model that can analyze semantic meaning rather than relying on rigid format parameters, the system adapts to varying email structures and sender-specific formats while maintaining automated appointment extraction
2Ease of operation
If users manually switch between communication tool and appointment management tool to adjust appointments, then appointment adjustment can be performed, but operations become complicated and user convenience decreases
Solution Approach 1:
The system merges the communication tool and appointment management tool into an integrated workflow. The email software itself gains appointment management capabilities through the language model, allowing users to adjust appointments directly within the communication interface without switching to a separate appointment management tool, thereby combining two previously separate functions into one unified system
Solution Approach 2:
The email software performs appointment adjustment functions autonomously by using the language model to interpret communication content and automatically update appointment data. The system serves itself by embedding appointment management capabilities within the communication tool, eliminating the need for manual intervention to switch between applications
Data Source
AI summary
Provided is an appointment adjustment system including at least one processor, the at least one processor being configured to: acquire communication data indicating content of a communication performed through use of a communication tool; acquire adjustment appointment data indicating an adjustment appointment which is an appointment to be adjusted through the communication based on the communication data and a language-analyzable machine learning model; and transmit the adjustment appointment data to an appointment management tool configured to work in cooperation with the communication tool.