Title: Robotic process automation for the advance payment to suppliers process

Authors: Ana Julia Dal Forno; Karina Novakoski Fagundes; Ciro André Pitz; Maiquel de Brito

Addresses: Textile Engineering Department, Santa Catarina Federal University – Campus Blumenau, Rua João Pessoa, 2750 – B110, Velha, CEP 89036-256, Blumenau/SC, Brazil ' Santa Catarina Federal University – Campus Blumenau, Rua João Pessoa, 2750 – B110, Velha, CEP 89036-256, Blumenau/SC, Brazil ' Control, Automation and Computer Department, Santa Catarina Federal University – Campus Blumenau, Rua João Pessoa, 2514 – C303, Velha, CEP 89036-004, Blumenau/SC, Brazil ' Control, Automation and Computer Department, Santa Catarina Federal University – Campus Blumenau, Rua João Pessoa, 2514 – C303, Velha, CEP 89036-004, Blumenau/SC, Brazil

Abstract: In the corporate environment, several activities are performed manually, forcing operators to perform repetitive tasks instead of focusing on process improvement. For this reason, organisations are investing in robotic process automation (RPA) tools to perform the tasks, providing quality and productivity gains. This work aimed to use the Blue Prism software to automate the advance payment to suppliers process, which replaces the manual work of an attendant with a robot. The development was carried out for the administrative department of a company in the food sector located in Gaspar/SC, Brazil. The activities developed by the robot range from the initial service on the portal, Service Now, to the inclusion of the advance in the SAP system, and the closure of the service. The results showed an increase in efficiency and productivity, with an annual gain of 28 hours, in addition to system integration, and a decrease in service errors, which provides quality to the information.

Keywords: ERP; process improvement; Blue Prism; software integration.

DOI: 10.1504/IJBPIM.2024.140154

International Journal of Business Process Integration and Management, 2024 Vol.11 No.3, pp.214 - 220

Received: 04 Nov 2023
Accepted: 26 Mar 2024
Published online: 25 Jul 2024 *

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