Egyptian Case Study-Sales forecasting model for automotive section

Nowadays, Forecasting of automotive Sales sector play a major role in automobile manufacturers which occupy an important valuable and great place in every country around the globe. In this study, we address automotive Sales Forecasting in largest automobile manufacturing company in Egypt after reviewing the most effective variables impact on sales volume such as unit selling price, inflation rate, per capita income, fuel price and previous sale. The model is trained using Neural Networks (ANN), Adaptive Neuro-fuzzy inference system (ANFIS) and Multiple Linear Regressions (MLR) in order to compare and select the best results. Finally, we obtained the results by the proposed model and we found that ANN technique had the superior result compared to others techniques.