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What is Textile Demand Forecasting with ML about?

This thesis presents a machine learning-based approach to production demand forecasting in the textile industry, addressing the limitations of traditional methods that rely solely on historical sales data. By incorporating both internal and external factors, the proposed models aim to improve forecasting accuracy and efficiency, ultimately helping manufacturers optimize production processes and reduce costs. The research highlights the importance of leveraging advanced data analysis techniques to adapt to t

Author

Saurabh Bhalerao

Language

EN