Sensor-Based Product State Estimation for Individual Pricing
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Solution Overview
Problem
Managing a plurality of products with individual differences is challenging, as sales can be affected by inappropriate price setting or display unless these differences are appropriately addressed.
Innovation Solution
A product management device that includes an acquisition unit to gather sensor information, a state estimation unit to determine individual product states, an extraction unit to identify products with distinct states, and an output unit to provide specific product information for targeted management and pricing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If products are managed as identical items without individual differentiation, then management complexity is reduced, but sales performance deteriorates due to inappropriate price setting and display for products with individual differences
Solution Approach 1:
The patent segments products from a uniform group into individually distinguishable units by extracting unique features (such as color, size, shape, or other characteristics) from each product. This segmentation enables the system to identify and manage individual differences among otherwise identical products, allowing for differentiated pricing and display strategies that improve sales performance without requiring complex manual inspection processes
Solution Approach 2:
The patent replaces manual inspection and classification mechanisms with an automated image recognition system. By using cameras and computer vision algorithms to capture and analyze product features, the system substitutes human labor and mechanical sorting processes with automated optical detection, thereby maintaining low management complexity while enabling precise identification of individual product characteristics for optimized pricing and display
2Productivity
If individual product states are estimated and differentiated, then sales efficiency is improved through appropriate pricing, but measurement and detection difficulty increases
Solution Approach 1:
The patent employs image recognition technology and computer vision systems to automatically detect and measure individual product characteristics. Instead of requiring manual inspection or complex measurement devices, the system uses cameras and algorithms to capture visual features (such as color variations, size differences, or surface characteristics) and translate them into quantifiable individual state data, thereby improving sales efficiency while keeping detection processes simple and automated
Solution Approach 2:
The patent creates digital copies or representations of physical product features through image capture and processing. By converting physical product characteristics into digital image data and extracted feature vectors, the system enables easy comparison, classification, and analysis of individual product states without requiring direct physical measurement or handling of each product, thus reducing detection difficulty while maintaining high measurement accuracy
Data Source
AI summary
Provided is a product management device comprising: an acquisition means that acquires sensor information containing information relating to a plurality of displayed identical products; a state estimation means that estimates, on the basis of the sensor information, an individual state of each of the plurality of individual identical displayed products; an extraction means that extracts, on the basis of the individual state of each of the plurality of identical products, from the plurality of individual identical products, a specific product that is an individual product having a relatively different individual state; and an output means that outputs specific product information relating to the specific product.