Application of Neural Networks to Stock Prediction in "Pool" Companies

Nowadays, carrying out precise stock predictions is essential for many companies in order to reduce material in storage. It allows these companies to decrease their investment in material. In the particular case of " Pool " companies, this need becomes greater since they have to maintain the quality of service as well as to minimize the investment in fixed assets. In order to make an accurate prediction, we have used artificial intelligence techniques, specifically artificial neural networks. Introduction Nowadays, many companies require the use of predictions to adjust material stocks stored in their warehouses.