Interconnected Decision Trees for Faster Item Code Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems require users to navigate multiple separate trees to find item codes, which is time-consuming and resource-intensive, especially when items belong to multiple groups or lack a corresponding code.
Innovation Solution
A system utilizing decision trees that allows users to navigate between and through interconnected trees using branch nodes, enabling simultaneous navigation and code assignment, reducing the number of trees accessed and resources required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users navigate through multiple separate trees to find item codes, then they can find codes for items belonging to multiple groups, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The patent combines multiple separate decision trees into a single integrated decision tree structure. The system creates a unified tree that encompasses item codes from multiple groups, allowing users to navigate through one tree rather than switching between multiple separate trees. This merging reduces navigation time and resource consumption while maintaining the ability to find codes for items belonging to multiple groups.
Solution Approach 2:
The integrated decision tree is designed to serve multiple functions simultaneously - it can find item codes for items belonging to any of the multiple groups within a single navigation process. The tree structure is universal in that it handles diverse item categories without requiring separate navigation paths, thereby improving efficiency and reducing time loss.
2Reliability
If users navigate through multiple separate trees, then they can access comprehensive item code information, but the amount of resources used increases
Solution Approach 1:
By merging multiple decision trees into one integrated structure, the system reduces the computational overhead associated with navigating through multiple separate trees. The unified tree consolidates the information from all groups, allowing the system to use fewer resources for navigation while still providing comprehensive item code information across all item groups.
3Adaptability or versatility
If the system requires users to access multiple trees, then it can handle items belonging to multiple groups, but the device complexity increases
Solution Approach 1:
The system merges multiple separate decision trees into a single integrated decision tree, thereby reducing device complexity. Instead of requiring users to access and navigate through multiple separate tree structures, the unified tree consolidates all item code information from multiple groups into one accessible structure, simplifying the system architecture while maintaining full adaptability for handling items belonging to multiple groups.
Data Source
AI summary
Systems and methods electronically assist a user in searching for codes corresponding to items by using decision trees. Entities are often required to follow specific rules based on classifications, or codes, corresponding to items. The systems and methods described herein allow entities to easily search for and obtain codes corresponding to entities by facilitating navigation through multiple decision trees by navigating from one decision tree to another.