ERP Neural Network Inventory Control

Enterprise Resource Planning (ERP) is a system of integrated applications used to have full insight over the resources of an enterprise in terms of goods, employees and customers. On the other hand, artificial neural networks are becoming a necessity in applications that require artificial intelligence. A marriage between these two concepts would yield a system capable of storing and displaying dashboards of data, and simultaneously make computed expectations that can determine the future plans of an enterprise. Many have researched different applications in which a neural network can be used in order to achieve such a system. This paper demonstrates the study and simulation of a system that can give a prediction of the goods needed for an enterprise’s inventory depending on the past history of this enterprise sale with respect to the events occurring at different time periods. The system is built using C# and using examples from a real trading cooperation history in the learning process. It was tested using fictional simulations and produced acceptable results.