الذكاء الاصطناعي كآلية للتنبؤ بالمبيعات في المؤسسة الاقتصادية: دراسة حالة مؤسسة CERAM الغزوات

Abstract EN

This research aims at shedding light on the effectiveness and accuracy of artificial intelligence applications in predicting the sales volume of the new sanitary ceramic company CERAM al-Ghazawat, using the MLP artificial neural network model and its application to the organization's sales chain data for the period from January 2012 to December 2021, the evaluation quality scales (MSE, RMSE) were used so as to detect the quality of the model, after comparing the actual results with the predicted results, the study found the accuracy and effectiveness of the MLP multilayer perceptron network when applied to time series that are characterized by a nonlinear pattern.