Second-Hand Product Valuation via Digital Data Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automatic product sorting systems are not suitable for sorting second-hand products, as they assume all products are new and in equal condition, failing to account for age and usage, which affects their value.
Innovation Solution
A method and device that scan identification codes to retrieve digital product data, including publication date and prices from online databases, to determine individual product sale prices, considering age and condition, and apply labels with these prices, enabling the sorting and valuation of second-hand products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a conventional automatic sorting system is used, then sorting efficiency is improved, but the system cannot handle second-hand products with varying conditions and ages
Solution Approach 1:
The system retrieves digital product data including publication date and online store prices, then automatically determines individual sale prices based on product age and condition parameters. This allows the sorting system to adapt to second-hand products by dynamically adjusting valuation parameters rather than treating all products uniformly.
Solution Approach 2:
A computer system acts as an intermediary between the scanning system and sorting modules, retrieving digital product data from databases or online sources and determining appropriate sale prices and sorting categories based on product age, condition, and market data.
2Measurement precision
If digital product data is retrieved and sale price is automatically determined, then valuation accuracy is improved, but system complexity increases
Solution Approach 1:
The computer system performs multiple functions: it scans identification codes, retrieves digital product data from various sources (databases or online), determines sale prices based on multiple factors (age, condition, market data), and controls sorting operations. This multi-functionality consolidates complexity into a single coordinating system rather than requiring separate specialized systems for each function.
3Measurement precision
If product condition is assessed by comparing dimensions, then condition detection accuracy is improved, but measurement time increases
Solution Approach 1:
The system retrieves original product dimensions from digital product data in advance, before physical measurement. This preliminary retrieval of reference data allows for rapid comparison with actual measured dimensions, reducing total measurement time while maintaining accurate condition assessment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the efficient sorting and valuation of second-hand products by determining sale prices based on age and condition, allowing for accurate pricing and processing of products that are no longer new and in varying conditions.
Implementation Method 1
scanning the identification code of the products using a first visual system
Data Source
AI summary
A method for sorting, valuation and labeling products provided with an identification code, comprising the steps of supplying products; scanning the identification code of the products using a first visual system; identifying the products based on the scanned identification code; applying a label to the product; sorting the products into categories; wherein when identifying the products on the basis of the scanned identification code, digital product data is retrieved, wherein the digital product data includes at least a publication date and additionally a list price and/or a sale price according to at least one online store, and where a sale price is automatically determined based on the digital product data, which is printed on the label.