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Development of Intelligent Robotic Process Automation: A Utility Case Study in Brazil
- Source :
- IEEE Access, Vol 9, Pp 71222-71235 (2021)
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Robotic Process Automation (RPA) refers to process automation applications of traditional Information Technologies based on robot software with the ability to capture and interpret the specific processes of organizations. Studies show that RPAs are able to reduce resources and optimize processes effectively in relation to customers. Some of these call center business processes deal with customers most likely to complain; therefore, a “Proactive Notification” robot was developed to classify these types of customers to be prioritized. This robot defines the creation of an RPA architecture for proactive notifications applied to an electric company in Brazil. The methodology used for the development of this project consisted of data management, predictive models, and peripheral components for sending SMS and making calls. It was tested against all customers in 40 cities (two states) and the model considers the historical basis of 3 years of occurrences to predict customers with a high probability of filing a complaint due to power failure. The results show that customers who were called for this type of problem did not call the call center again to complain, suggesting positive acceptance of the robot. In conclusion, the robot presented herein is capable of making proactive notifications with high precision to customers with the highest probability of complaints, predicting possible problems.
- Subjects :
- Process management
General Computer Science
Business process
Computer science
Data management
Robot software
02 engineering and technology
Proactive notification
Data modeling
020204 information systems
0502 economics and business
disruptive technology
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
electric power sector
business.industry
05 social sciences
General Engineering
Information technology
predictive models
Process automation system
Automation
robotic process automation
TK1-9971
Robot
Electrical engineering. Electronics. Nuclear engineering
business
RPA
050203 business & management
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....140e1352b3a70b869eb8597191d61956
- Full Text :
- https://doi.org/10.1109/access.2021.3075693