Counterfeiting in the textile industry is a growing global problem, impacting both brands and consumers. The counterfeit fashion industry alone is estimated to be worth over $3 trillion per year, with far-reaching consequences for legitimate businesses and ethical practices. To address this challenge, TRICK (Traceability and Circular Knowledge Platform) is pioneering an innovative AI-driven Anti-Counterfeiting service which aims to revolutionize the fight against counterfeit textiles.
TRICK's Anti-Counterfeiting service tackles the counterfeiting issue at its core, focusing on controlling textile production declarations from raw materials to fabrics. Unlike traditional methods that concentrate solely on finished products, TRICK's approach covers the upper part of the value chain, which has a more substantial environmental impact.
Counterfeit declarations related to sustainability and circular practices pose a significant threat, especially with the adoption of the Digital Product Passport as expected by European Ecodesign regulations. Current control techniques lack standardized data sets and homogeneous data models, hindering the implementation of AI-based solutions.
TRICK is committed to providing a complete, reliable, cost-effective, and standardized platform to support sustainable and circular approaches. Its core objective is to enable enterprises to collect product-secured data through blockchain technology and a marketplace for needed services and data. This approach ensures the traceability and transparency required to combat counterfeit declarations effectively.
TRICK's Anti-Counterfeiting service integrates seamlessly into the TRICK platform. The service analyzes data, generates comprehensive reports, and returns them as PDF files to users. The PDF reports contain vital information presented in a clear and organized manner:
Composition Analysis: This technique scrutinizes the materials used in textiles and their proportions. Deviations from expected compositions can signal potential counterfeiting.
Milestone Order Analysis: TRICK establishes reference milestones based on industry standards and compares the actual order of milestones to the expected order, flagging any discrepancies.
Time Interval Analysis: The service calculates elapsed times between milestone pairs and compares them against predefined expected ranges using robust statistical techniques.
Scoring System: Each lot undergoes a scoring process, reflecting its compliance with quality and authenticity standards. Discrepancies and anomalies are flagged, and detailed PDF reports are generated.
TRICK's Anti-Counterfeiting service represents a significant leap in combating counterfeit textiles and ensuring quality control. By providing a robust scientific foundation, comprehensive analysis techniques, and a user-friendly interface, TRICK empowers stakeholders to make informed decisions and protect the textile industry's integrity. As TRICK continues to accumulate data, its capabilities will only grow, making it an invaluable asset in the fight against counterfeit declarations and promoting sustainable and circular practices in the textile industry.