Predictive Multimodal Interfaces for Efficient Assortment Planning
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Solution Overview
Problem
Existing enterprise applications for assortment and merchandise planning require users to manipulate large datasets inefficiently using traditional input methods like mice and keyboards, which are unnatural, inflexible, and distracting.
Innovation Solution
A system utilizing multi-modal interactions that monitor eye and hand movements, gestures, voice inputs, and tactile inputs to allow users to interact with assortment planning tasks naturally and efficiently, incorporating artificial intelligence for predictive user tracking and adaptive interface rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input methods (mouse, keyboard) are used for interacting with assortment planning applications, then the system can process large datasets, but the interaction becomes inefficient, unnatural, and distracting
Solution Approach 1:
The patent replaces mechanical input devices (mouse, keyboard) with voice recognition software and gesture-based controls. This substitution allows users to interact with assortment planning applications through natural speech and hand movements, eliminating the need for manual clicking and typing while maintaining full data processing capabilities.
Solution Approach 2:
The patent introduces voice recognition software and gesture recognition systems as intermediaries between the user and the computer system. These intermediaries translate natural human communication methods into system commands, enabling efficient interaction with large datasets without direct mechanical input device usage.
2Productivity
If users manually sift through large datasets and generate visualizations, then comprehensive analysis is achieved, but productivity decreases due to repetitive complex tasks
Solution Approach 1:
The patent implements automated data processing and visualization generation that occurs before users need the information. The system pre-processes large datasets, generates visualizations, and prepares analysis results in advance, so users receive ready-to-analyze information without manually performing repetitive sorting and visualization tasks.
Solution Approach 2:
The patent enables the system to automatically perform data sorting, filtering, and visualization generation without user intervention. The assortment planning application self-services by autonomously processing datasets and presenting organized results, reducing user effort while maintaining comprehensive analysis capabilities.
3Adaptability or versatility
If voice recognition software is used for interaction, then natural communication is enabled, but it is only suitable for infrequent cases and not comprehensive tasks
Solution Approach 1:
The patent creates a multi-modal interaction system that combines voice recognition, gesture control, and traditional input methods. This universal system can handle both infrequent simple commands through voice and comprehensive complex tasks through the combination of multiple interaction modes, making the system adaptable to all task types while maintaining reliability.
Data Source
AI summary
A system and method are disclosed for generating intelligent multi-modal system actions based, at least in part, on predicting a user action and one or more stored user inputs. Embodiments include a database and a computer comprising a processor and memory, the computer is configured to monitor user inputs using one or more sensors and one or more tactile interface devices, detect at least two modes of user input and store the user inputs in the database. The computer is further configured to evaluate the stored user inputs in the database and the at least two modes of user input to generate a system action and generate a system action based, at least in part, on predicting a user action and one or more stored user inputs.