July 30, 2025Open Access

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

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This analysis reveals data quality challenges in the textile sector's digital product passport, suggesting machine learning can enhance transparency.

The Digital Product Passport enhances transparency and enables informed consumer choices in the textile industry.
Implementing the DPP faces challenges due to diverse companies and variable information in the value chain.
Utilizing machine learning algorithms can standardize and validate the quality of data for DPP adoption.
Four tailored machine learning solutions are proposed to address specific data quality issues across various datasets.

Cruz et al. (2025) studied this question.

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This analysis reveals data quality challenges in the textile sector's digital product passport, suggesting machine learning can enhance transparency.