Autors: Hrischev, R. N., Stoykova, S. G.
Title: Bot Development for Intelligent Automation in ERP Systems
Keywords: Enterprise Resource Planning (ERP) systems, software bot, bo

Abstract: The paper presents software bot development approaches for automating the tasks of business document extraction and information extraction in a selected cloud ERP system – SAP Business Technology Platform. Three types of bots are developed: document extraction bot, document information extraction bot and conversation information extraction bot. The document extraction bot is built using an existing bot template, which is further extended to support logging of bot operations and transfer of logs by an email service. The information extraction bots are originally developed. The document extraction and document information extraction bots are connected in a bot chain for intelligent automation of business document processing. The conversation information extraction bot is deployed as a part of customer interaction service. The aim of the paper is to present the originally developed bots and bot extensions that introduce new functionality to the existing intelligent automation solutions w



    nternational Conference Automatics and Informatics (ICAI), pp. 183-188, 2022, Bulgaria, IEEE Xplore, DOI 10.1109/ICAI55857.2022.9959995

    Copyright IEEE Xplore

    Цитирания (Citation/s):
    1. Stoykova S, Shakev N. Artificial Intelligence for Management Information Systems: Opportunities, Challenges, and Future Directions. Algorithms. 2023; 16(8):357. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus