Dynamic Product Labeling System for Circular Economy Compliance
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Solution Overview
Problem
Retailers and manufacturers face challenges in complying with circular economy laws, which require up-to-date information on product recycling, allergens, and carbon footprint, as existing solutions do not provide comprehensive, future-proof information across different countries and products, leading to compliance issues and high costs.
Innovation Solution
A computer-implemented method and system that generates and tracks labels with mandatory and non-mandatory information, using machine-readable codes like QR-codes and RFID, ensuring compliance with varying regulations and allowing consumers to access product information and recycling instructions, while updating data automatically to reflect changing laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive product information labels are implemented to comply with circular economy laws, then information completeness and compliance are improved, but device complexity and implementation costs increase
Solution Approach 1:
The patent implements a universal labeling system using QR codes and RFID tags that can store and provide multiple types of information (recycling instructions, allergen content, carbon footprint, composition) through a single standardized interface. This multi-functional label replaces multiple separate labeling systems, reducing overall complexity while maintaining information completeness.
Solution Approach 2:
The patent introduces a centralized digital database as an intermediary between the product label and the end user. The label contains machine-readable codes that link to this database, which stores comprehensive product information. This intermediary allows the physical label to remain simple while providing access to extensive information through digital means, resolving the contradiction between information completeness and labeling complexity.
2Ease of operation
If labels include machine-readable codes for accessing detailed information, then information accessibility is improved, but manufacturing precision and cost increase
Solution Approach 1:
The patent uses machine-readable codes (QR codes, RFID tags) that can be mass-produced using standard printing and tagging technologies. These codes serve as simplified copies or references to the full product information stored in a digital database, rather than requiring all information to be physically printed on the label. This approach maintains high information accessibility while avoiding the need for complex high-precision manufacturing.
3Reliability
If the system automatically updates information to reflect changing laws, then compliance reliability is improved, but use of energy and operational complexity increase
Solution Approach 1:
The patent implements an automated system that continuously monitors changes in circular economy legislation and regulations. The database is automatically updated with new compliance requirements, and the system notifies relevant users of updates. This feedback mechanism ensures ongoing compliance reliability without requiring manual intervention, while the automated nature of the system optimizes energy usage compared to manual updating processes.
Data Source
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AI summary
The present invention concerns a computer-implemented method and system (200) for generating, using and tracking a label (53) on a product (50) and/or on a product packaging. Such label (53) carries information that can be mandatory and also can be non-mandatory. The system (200) according to the invention is configured to perform a computer-implemented method, which system includes: a first computational unit (10) comprising a first user interface (11), a second computational unit (20) comprising a second database (24), remote data sources (16) which provide data to the second computational unit (20), a third computational unit (30) comprising a second user interface (12), a reading and displaying device (40) in a next life receptacle (42), configured to read label (53) and provide the second user with a unique confirmation code sent to second computational unit (20), which then feedbacks a message to second user on their personal carbon footprint.