Integrated Neuronal Network in ERP for Management Decision Making

Abstract Enterprise Resource Planning systems have proven to be efficient and have become a de facto standard for coordinating vital business components. However, the obvious question has arisen: if each company uses the same ERP system, what happens to the competitive aspect of the business after the implementation of the IT systems? While for some organizations, ERPs have only become a necessity for running and organizing business, others want to exploit it to exceed the performance of competitors. Consequently, ERP systems are often a combined solution between the legacies of the systems they have replaced and the model proposed by the ERP provider, resulting in systems with unique, customized features. Keeping this idea, we aim to add to the present paper elements of artificial intelligence within a module for managing car sales within an ERP.