Brakeable allows textile companies to conduct efficient, product-specific quality analyses in product development through the innovative integration of product users. For the first time, AI-based software can process meaningful and qualitative descriptions of quality defects on a large scale efficiently and make them accessible to different departments, based on individual importance. The combination of problem descriptions with photos of product defects simplifies the complex identification of product deficiencies and promotes a collaborative corporate culture. By capturing a wide data base, also known as Big Data, an as yet unused problem-mining approach is opened up, which influences beyond the product testing phase.

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