Automated Prioritization System for Consumer Goods Selection
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Solution Overview
Problem
Online purchasers face overwhelming choices of goods and services due to the vast and unorganized nature of available information, with no standardized way to portray information, leading to confusion and unreliable data.
Innovation Solution
An automated prioritization and organization system that uses specific user-defined attributes, optionally combined with collaborators' preferences, weighted by intrinsic data to generate prioritized lists of products and/or services, enabling effective collaboration and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users browse online goods and services, then they can access vast choices, but they become overwhelmed by the unorganized nature of information
Solution Approach 1:
The patent segments the overwhelming information into organized categories and attributes. It divides goods and services into structured data fields (price, location, ratings, features) and presents them through filtered lists rather than unorganized browsing, reducing cognitive load while maintaining choice variety.
Solution Approach 2:
The patent introduces an intermediary system (the prioritization engine) that mediates between the user and the vast information database. This intermediary automatically organizes, filters, and prioritizes information based on user preferences, eliminating the need for users to manually sort through unorganized data.
2Adaptability or versatility
If vendors portray goods and services differently, then they can highlight unique features, but there are no standardized ways to portray information
Solution Approach 1:
The patent standardizes information portrayal by transforming diverse vendor descriptions into consistent parameter formats. It converts various product attributes into uniform data fields with standardized representations, enabling reliable comparison while preserving vendor-specific features through configurable attribute weights.
3Reliability
If the system provides detailed information about goods and services, then users can make informed decisions, but the amount of information becomes overwhelming
Solution Approach 1:
The patent extracts only the most relevant information for each user based on their preferences and priorities. It filters the vast information database to present only curated data points that matter to the individual user, eliminating unnecessary information while maintaining decision accuracy through selective data extraction.
Solution Approach 2:
The patent applies local quality by tailoring the level of detail and information presentation to each user's specific needs. Different users receive different information depths and attribute emphasize based on their individual preferences, ensuring high decision accuracy without overwhelming any single user with excessive information.
4Ease of operation
If users manually organize and prioritize information, then they can control the selection process, but it requires significant time and effort
Solution Approach 1:
The patent implements self-service by enabling users to define their preferences once, and the system automatically applies these preferences to organize and prioritize information without ongoing manual intervention. Users maintain control through preference configuration, while the automated system handles the time-consuming organization tasks.
Solution Approach 2:
The patent performs preliminary action by having users define their preferences and priorities in advance. This initial setup allows the automated system to organize and prioritize information automatically during subsequent searches, eliminating the need for manual organization time while preserving user control over the selection process.
Data Source
AI summary
According to an embodiment, an automated prioritization and organization system is described which aids in identifying and defining personal preferences by using specific attributes indicated by the user, and optionally fused with user defined collaborators' preferences, weighted by additional intrinsic data selected by the user to generate lists of prioritized products and/or services. Locations of products and/or services can be displayed on a map relative to locations of other points of interest. Input item priority rankings can be changed by the user, as well as output ranking of the products and/or services.


