Deadline Content Extraction and Profile Management
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Solution Overview
Problem
Current methods fail to automatically extract and manage deadline content from diverse billing statements, leading to manual tracking and potential late payments.
Innovation Solution
A method and apparatus that extract deadline content from documents, compare it to existing profiles, and create new profiles as needed, allowing for automated tracking and storage, with reminders integrated into e-reader software and notification systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual tracking of billing deadlines is used, then flexibility in handling diverse vendor formats is maintained, but time consumption and risk of late payment increase
Solution Approach 1:
The system automatically extracts deadline content from documents and compares it against stored profiles without requiring manual user intervention. The deadline processing module autonomously performs extraction, comparison, and profile creation tasks, allowing the system to serve itself rather than requiring continuous manual tracking by the user.
Solution Approach 2:
The system pre-processes documents by extracting deadline content and comparing it to existing profiles before the user needs to act on the information. By performing extraction and comparison operations in advance, the system prepares deadline data ready for user review, eliminating the need for manual tracking at the moment of need.
2Productivity
If automated extraction of deadline content is implemented, then time efficiency improves, but system complexity increases due to need for profile management
Solution Approach 1:
The profile management system is designed to be dynamic and adaptive. When new document types or formats are encountered, the system automatically creates new profiles through the deadline processing module, rather than requiring static pre-configuration of all possible profiles. This allows the system to evolve and adapt to new vendors and document formats automatically.
Solution Approach 2:
The deadline processing module serves multiple functions: it extracts deadline content from documents, compares extracted content against existing profiles, creates new profiles when needed, and stores both content and profiles. This multi-functional approach consolidates what could be separate complex systems into a single versatile component.
3Extent of automation
If standard billing information formats are required, then automated extraction becomes feasible, but adaptability to diverse vendor formats is reduced
Solution Approach 1:
The system handles format diversity by changing parameters dynamically. The deadline processing module adjusts extraction parameters and comparison criteria based on the specific document type and vendor format being processed. This allows automated extraction to work across diverse formats without requiring a single rigid standard.
Solution Approach 2:
The system segments the profile management into modular, manageable units. Each vendor or document type can have its own profile with specific extraction and comparison parameters, allowing the system to handle diverse formats through standardized segmentation rather than requiring monolithic format standardization across all vendors.
Data Source
AI summary
A computer implemented method and apparatus for managing deadline content in a document. The method comprises extracting deadline content from a document; comparing the extracted deadline content to content in one or more existing deadline profiles; and providing for storage on a cloud server, at least one of the extracted deadline content when the extracted deadline content matches the content in an existing deadline profile, or the extracted deadline content and a new deadline profile for the document when the extracted deadline content does not match an existing deadline profile.