Objective-Driven Navigation Recommendations for Complex Supply Chain UI
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Solution Overview
Problem
Existing supply chain software is complex and user-unfriendly, leading to user distraction, inefficiency, and increased error rates due to overwhelming information and lack of guidance, resulting in time-consuming and confusing navigation experiences.
Innovation Solution
A machine learning-based recommendation engine with a guided workflow and probabilistic matrix factorization algorithm provides actionable navigation through supply chain software, offering keyboard accessibility and context-dependent recommendations to streamline user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If supply chain software provides comprehensive information and functionality, then system capability is improved, but user ease of operation deteriorates due to information overload and complexity
Solution Approach 1:
The patent segments the complex software interface into contextualized task groups and prioritized action items. The system divides overwhelming information into manageable segments based on user objectives, displaying only relevant controls and data for each specific task rather than presenting the complete system at once. This segmentation reduces cognitive load while maintaining access to comprehensive functionality.
Solution Approach 2:
The system performs preliminary actions by pre-organizing interface elements according to predicted user needs and objectives. Before the user needs to navigate complex areas, the system pre-load s relevant controls, pre-groups related functions, and pre-prioritizes information display based on contextual analysis of user goals. This preliminary organization eliminates the need for users to navigate through unorganized complexity.
2Loss of information
If supply chain software displays comprehensive information on screen, then information availability is improved, but user navigation time increases due to distraction and loss of place
Solution Approach 1:
The patent applies local quality by customizing the information display to match the specific contextual needs of each task. Rather than presenting uniform comprehensive information throughout the interface, the system dynamically adjusts the quantity, type, and organization of information displayed in different regions and contexts. Relevant information is amplified locally while irrelevant information is suppressed, reducing distraction and helping users maintain their place.
Solution Approach 2:
The interface dynamically adapts its information density and organization based on real-time user objectives and navigation state. The system transitions between different display modes - from comprehensive overview modes when appropriate to focused task modes when needed. This dynamic reconfiguration allows the interface to provide comprehensive information when beneficial while minimizing navigation time by hiding irrelevant details during active task execution.
3Adaptability or versatility
If supply chain software provides extensive functionality, then system capability is improved, but user error rates increase due to confusion and lack of guidance
Solution Approach 1:
The patent introduces an intermediary guidance layer between the user and the complex system functionality. This intermediary takes the form of contextualized task guidance, progressive disclosure mechanisms, and intelligent defaults that mediate between user objectives and system capabilities. The intermediary translates high-level user goals into specific system actions, reducing confusion and preventing errors while preserving full system functionality.
Solution Approach 2:
The system provides self-service guidance by automatically adapting its interface and guidance based on user objectives without requiring manual configuration. The system serves itself by analyzing user actions and objectives to dynamically reconfigure the interface, providing appropriate guidance and controls automatically. This self-service capability reduces user confusion and errors while maintaining extensive functionality.
4Ease of operation
If supply chain software interface is simplified, then ease of operation is improved, but system functionality is reduced
Solution Approach 1:
The patent implements a nested interface structure where simplified task-specific interfaces are nested within the broader comprehensive system. The outer layer provides simplified, context-appropriate controls for immediate tasks, while nested inner layers contain the full system functionality that can be accessed when needed. This nesting allows users to interact with simplified interfaces for routine tasks while maintaining access to complete functionality for complex operations.
Solution Approach 2:
The system performs preliminary organization of functionality into contextualized groups before user interaction. By pre-organizing extensive functionality into intuitive task-based structures with appropriate defaults and guidance, the system makes complex functionality accessible through simplified interaction patterns. This preliminary structuring allows users to operate with simplicity while the system maintains comprehensive capability.
Data Source
AI summary
A system and method are disclosed for predicting recommendations for a user interface. The method includes generating a graphical user interface that receives a conversation-based input from at least one user of a client portal, receiving a user profile and a navigation history for the user, providing the conversation-based input from the user to a natural language processing engine, decoding using the natural language processing engine an intent and slots from the conversation-based input; and generating one or more recommendations based, at least in part, on the intent, the slots, the user profile, and the navigation history.