Pre-coded Automatic Docketing for Unstructured Text Sorting
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Solution Overview
Problem
In business docketing systems, managing a large number of incoming communications, documents, and tasks with varying types and deadlines is inefficient, as existing systems struggle to effectively sort and automate the docketing process.
Innovation Solution
Implementing a pre-coding system that categorizes incoming electronic communications into predetermined categories by identifying and associating structured text pre-codes with unstructured text communications, allowing for automated sorting and easier docketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a large number of incoming communications and documents are manually sorted and docketed, then accuracy in categorization can be maintained, but productivity and efficiency deteriorate due to the time-consuming nature of manual processing
Solution Approach 1:
The system performs preliminary coding of incoming communications by analyzing unstructured text and assigning pre-codes before the main docketing process. This advance categorization into broad buckets enables faster subsequent processing and reduces the time required for manual sorting during the main docketing workflow
Solution Approach 2:
The docketing system automatically analyzes incoming communications, extracts relevant information from unstructured text, assigns appropriate pre-codes, and categorizes documents without requiring manual intervention for each item. The system serves itself by autonomously performing the sorting and initial categorization tasks that would otherwise require human docketers
2Ease of operation
If manual sorting into broad categories is performed before detailed docketing, then ease of operation improves, but device complexity increases due to the additional pre-coding step
Solution Approach 1:
The docketing process is segmented into distinct stages: pre-coding for broad category classification, followed by detailed docketing for specific task management. This segmentation allows each stage to focus on its specific function, making the overall system easier to operate despite the added complexity of the pre-coding step
3Manufacturing precision
If automated docketing is implemented without pre-coding, then device complexity is reduced, but manufacturing precision deteriorates due to difficulty in accurately categorizing unstructured text
Solution Approach 1:
Pre-codes serve as an intermediary layer between unstructured incoming communications and the structured docketing system. The pre-coding step translates unstructured text into standardized category codes that the automated docketing system can efficiently process, thereby improving categorization accuracy without requiring the main docketing system to become overly complex
Data Source
AI summary
Various embodiments disclosed relate to a method of sorting and coding incoming docket tasks and items. The present disclosure includes methods and systems for analyzing and associate pre-codes with incoming electronic communications. In a method of docketing, an electronic communication can be received, a first pre-code can be identified, a second pre-code can be automatically selected and associated with the electronic communication, and the electronic communication can be sent to a docketing system.