This AI-powered yarn sizing forecasting and decision-making system improves traditional processes that rely on manual experience. Using machine learning, it analyzes production and historical data to recommend optimal parameters in real time. It improves sizing consistency, reduces waste and errors, and boosts efficiency. Its modular design integrates with existing equipment, while a visual interface helps operators monitor and adjust settings. This solution supports digital transformation and shows strong potential for industrial application and technology transfer.