AI Scraper for Dynamic Electronic Organizational Chart Generation
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Solution Overview
Problem
Current organizational chart tools lack advanced functionality to efficiently manage dynamic organizational structures and relationships across multiple organizations, failing to keep pace with technological advancements and globalization, leading to complexity in understanding and interacting with organizational changes.
Innovation Solution
A method and system for generating and modifying electronic organizational charts using artificial intelligence-based scraper applications that retrieve and validate data from various sources, select appropriate templates, and present charts on a display, allowing users to access, evaluate, and communicate within the organizational structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If paper-based organizational charts are used to present organizational structure, then the overview of organization structure is achieved, but the difficulty to maintain and keep up-to-date increases
Solution Approach 1:
The patent replaces manual paper-based organizational charts with an automated electronic system that uses web crawlers and data processing algorithms to automatically retrieve, update, and maintain organizational structure information from multiple sources, eliminating the need for manual updates and ensuring timeliness
Solution Approach 2:
The system enables self-updating organizational charts by automatically crawling data sources, processing information, and regenerating charts without human intervention, allowing the organizational structure information to maintain itself current through automated processes
2Adaptability or versatility
If traditional organizational chart tools are used to manage organizational structures, then basic visualization is achieved, but the functionality to manage dynamic organizational structures and relationships across multiple organizations is limited
Solution Approach 1:
The patent creates a multi-functional system that not only visualizes organizational structures but also automatically retrieves data from multiple sources, processes information, manages relationships across organizations, and generates reports, making a single tool capable of handling diverse organizational management needs
Solution Approach 2:
The system divides the organizational chart into manageable components including multiple data sources, web crawlers for different platforms, data processing modules, and visualization layers, allowing each segment to be independently optimized and maintained while working together to manage complex organizational structures
3Productivity
If manual methods are used to update organizational charts, then simplicity of process is maintained, but the time and effort required to keep charts current increases
Solution Approach 1:
The patent implements continuous automated data retrieval and processing operations where web crawlers continuously monitor data sources, process information as it becomes available, and update organizational charts in real-time or near-real-time, eliminating interruptions and manual batch updates
Solution Approach 2:
The system performs preliminary data collection, validation, and processing operations automatically before the organizational chart needs to be updated, so that when updates are required, the information is already prepared and can be immediately reflected in the charts without delay
Data Source
AI summary
A method for generating an electronic organizational chart for an organization, comprising: receiving information from a data source relating to the organization; using the information, selecting a template for the organization chart from a template store, wherein the template represents a type of organization; populating the template with the information to generate the electronic organizational chart; and, presenting the electronic organizational chart on a display.


