Product and Price Data UI for Fast Personalized Summaries
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Solution Overview
Problem
The challenge lies in effectively summarizing and personalizing large sets of complex data related to product and price information, including the identification of patterns and arrangement of information in a user interface.
Innovation Solution
A user interface (UI) routine that allows users to select brands, competitors, and create lists of products and categories, utilizing color coding and various processes to display and analyze data, including Create User Home Items, Create List, Alert, Report, Summary, Quick View, Show Products, Show Promotions, Show Social, Show Analysis, and Recommendation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If large sets of complex data are displayed in detail, then information completeness is improved, but user understanding speed deteriorates
Solution Approach 1:
The patent segments large data sets into hierarchical groups and categories (e.g., product categories, price ranges, time periods). The interface divides comprehensive data into manageable sections that users can explore at different levels of detail, allowing complete information to be organized in a way that enables quick scanning and understanding.
Solution Approach 2:
The patent introduces multiple dimensions for data organization including hierarchical categorization, temporal dimensions (time periods), and spatial dimensions (visual layout). Data is presented across multiple levels of abstraction, allowing users to view summaries at one level and drill down to detailed information at other levels, thus maintaining information completeness while improving comprehension speed.
2Loss of time
If data is personalized and summarized, then user understanding speed is improved, but information completeness deteriorates
Solution Approach 1:
The patent applies local quality by providing different levels and types of information summarization for different user needs and contexts. The system personalizes which data aspects are emphasized based on user preferences, product categories, and analysis goals, delivering tailored summaries that maintain essential information while improving understanding speed for each specific user context.
Solution Approach 2:
The patent implements dynamic summarization where the level and type of information presentation adapts based on user interactions, selections, and preferences. The system can dynamically adjust between detailed and summarized views, allowing users to control the balance between information completeness and understanding speed according to their specific needs at different moments.
3Adaptability or versatility
If multiple data dimensions are analyzed, then analytical depth is improved, but user interface complexity deteriorates
Solution Approach 1:
The patent segments multiple data dimensions (product attributes, price information, temporal trends, categorical data) into separate, organized groups that can be independently analyzed and displayed. This segmentation allows the interface to handle complex multi-dimensional analysis by breaking it into manageable components rather than presenting all dimensions simultaneously, thus reducing perceived interface complexity while maintaining analytical depth.
4Loss of information
If detailed product and price information is displayed, then data completeness is improved, but ease of operation deteriorates
Solution Approach 1:
The patent employs multi-dimensional organization of detailed product and price information through hierarchical categories, temporal groupings, and spatial layout arrangements. This dimensional organization allows complete data to be systematically structured across multiple levels, making it easier for users to navigate and operate with the information without being overwhelmed by detail.
Data Source
AI summary
Systems and methods for a user interface to summarize and personalize a large amount of price and product information, to identify patterns therein, and to generate recommendations in relation thereto are described herein.