Predicting zippers: the power of ML in the small textile companyies

Dalmau Clotet, Júlia

Predicting zippers: the power of ML in the small textile companyies

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Citation

Dalmau Clotet, J. Predicting zippers: the power of ML in the small textile companyies. 2023. handle: http://hdl.handle.net/10230/58028

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Abstract

The textile industry has begun to embrace algorithm and Machine Learning (ML) predictions over the past decade to improve their sales performance and overall efficiency. In this project, ML models are applied in a zipper dataset to try to find an accurate prediction about future sales trends for a small company called Kreband. Furthermore, an analysis of the zippers features is applied to see which is the impact in the ML model and how the company can reduce costs and gain efficiency to compete against the multinational companies.