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 quality of service as well as minimize investment in fixed assets. In order to make an accurate prediction, we have used artificial intelligence techniques, specifically artificial neural networks.