September 23, 2025Applied SciencesOpen Access

Machine Learning-Based Data Quality Assessment for the Textile and Clothing Digital Product Passport

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Research demonstrates ML algorithms improve data quality in textile supply chains, suggesting better transparency through Digital Product Passports.

Machine learning algorithms enhance data quality assessment for textile products, improving transparency.
Using different datasets and ML algorithms, the best solution for data quality was identified in each case.
Sustainable practices depend on accurate data collection, which is essential for the Digital Product Passport.
The integration of diverse company data presents a significant challenge in implementing the Digital Product Passport.

Cruz et al. (2025) studied this question.

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Research demonstrates ML algorithms improve data quality in textile supply chains, suggesting better transparency through Digital Product Passports.