Intelligent methods for business rule processing: State-of-the-art

da Costa, Cristiano André, Santos, Uélison Jean Lopes dos, Reis, Eduardo Souza dos, Antunes, Rodolfo Stoffel, Pacheco, Henrique Chaves, França, Thaynã da Silva, Righi, Rodrigo da Rosa, Barbosa, Jorge Luis Victória, Jebadoss, Franklin, Montalvao, Jorge, Kunkel, Rogerio

arXiv.org Artificial Intelligence 

Business automation processes have gained popularity in recent times. Robot Process Automation (RPA) reached its peak in September 2018, according to Google Trends data [1]. In this article, we provide an in-depth analysis of selected papers that describe the current state-of-the-art on RPA and Intelligent Process Automation (IPA). The main objective of this article is to present the latest research and understanding of intelligent methods for processing business rules, especially related to service order handling. The methods discussed involve the use of machine processing techniques and natural language processing. The article is structured as follows: Section 2 describe the research methodology. Section 3 focuses on Robot Process Automation (RPA).