Feature Availability Indicator for Price-Based Product Selection
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Solution Overview
Problem
Consumers face difficulties in selecting online products as they struggle to determine which features are available at specific price points and how additional features are included or excluded, lacking a clear and intuitive way to navigate feature availability across different price ranges.
Innovation Solution
A system and method that utilize computer instructions to categorize item features based on price selections, displaying feature identifiers and status indicators to clearly show which features are included or excluded at certain price points, allowing users to easily identify available and additional features within their budget.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers manually review product listings and specifications to determine feature availability at different price points, then they can gather information about product features, but the process becomes time-consuming and complex
Solution Approach 1:
The patent segments the product catalog into price-based groups and further segments features into included/excluded categories. By organizing features into discrete, visually distinct groups (included features vs. excluded features), consumers can quickly scan and understand what is available at their price point without manually reviewing each product listing. This segmentation transforms a complex information-gathering task into a simple visual comparison.
Solution Approach 2:
The patent introduces an intermediary interface element (the feature availability indicator) that mediates between the complex product database and the consumer. This intermediary automatically processes the consumer's price input and returns a simplified visual representation of feature availability, eliminating the need for consumers to manually query and compare multiple product listings. The intermediary handles the complex information retrieval and presentation tasks automatically.
2Adaptability or versatility
If consumers examine multiple product listings to understand which features are included or excluded at their budget, then they can make informed decisions, but the interface complexity and difficulty of navigation increase
Solution Approach 1:
The patent extracts the essential information (feature availability status) from complex product listings and presents it in isolation as a simple visual indicator. By taking out only the relevant feature inclusion/exclusion data and displaying it separately from full product specifications, the interface maintains simplicity while providing comprehensive feature information. Consumers see only the critical information needed to make decisions without being overwhelmed by detailed product specifications.
Solution Approach 2:
The patent uses color changes or visual status indicators to encode feature availability information. By assigning distinct visual states (such as checkmarks, colored indicators, or icon changes) to represent included versus excluded features, the interface conveys complex feature availability data through simple visual cues. This reduces interface complexity by replacing text-heavy specifications with intuitive visual representations that consumers can quickly interpret.
3Loss of information
If consumers manually compare features across items at different price points to understand the relationship between price and features, then they can identify value, but the process lacks clarity and intuitiveness
Solution Approach 1:
The patent performs preliminary action by automatically calculating and organizing feature availability information before the consumer needs to view it. When a consumer enters a price point, the system has already pre-processed the product data to determine which features are included or excluded at that price level. This preliminary organization of information by price brackets and feature inclusion status allows consumers to immediately see the price-feature relationship without having to manually compare multiple products or perform complex analysis.
Solution Approach 2:
The patent introduces an intermediary computational layer that automatically analyzes the relationship between price and features. This intermediary takes the consumer's price input, queries the product database, and returns a synthesized view of feature availability. The intermediary handles the complex task of determining which features are included or excluded at each price point, transforming raw product data into clear, actionable insights about price-feature relationships without requiring consumer effort.
Data Source
AI summary
Some embodiments include a method of facilitating item selection based on features. Other embodiments of related systems and methods are also disclosed.