We analyzed the efficiency of four machine learning models—ANN, LSTM, Decision Tree, and Linear Regression—in demand forecasting using a textile company's sales data. ANN provided the most accurate forecasts with the lowest data loss, while LSTM was slightly less accurate. These findings highlight the importance of advanced models in optimizing inventory management and supply chain efficiency.