Research Article

AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES

Volume: 25 Number: 4 December 3, 2022
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences Cover
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences
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AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES

Abstract

Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to the companies. Banks have been utilizing the automation tools for core banking and branch operations. In addition, banks receive hundreds of notice documents from courts, municipalities and third parties; which usually contain private and time-sensitive information about their customers. Automated document processing requires special solutions such as optical character recognition (OCR), natural language processing (NLP) and taxonomy; and modern process automation tools can utilize these solutions to provide end-to-end automation. This paper discusses how the notice documents such as account closure, payment blockage in Turkey can be automated.

Keywords

References

  1. Asatiani, A. P. (2016). Turning robotic process automation into commercial success. OpusCapita. J. Inf. Technol. Teach. Cases, 6(2).
  2. Doguc, O. (2019). Robot Process Automation (RPA) and It’s Future. In Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 469–492). Igi-Global.
  3. Hindle, J. L. (2018). ROBOTIC PROCESS AUTOMATION: Benchmarking the Client Experience. Knowledge Capital Partners. How digital labor can drive efficiency in oil and gas. (2019). https://www.ey.com/en_ie/oil-gas/how-digital-labor-can-drive-efficiency-in-oil-and-gas
  4. Kaya, C. T., Türkyılmaz, M., & Birol, B. (2019). Impact of RPA technologies on accounting systems. Muhasebe ve Finansman Dergisi, 82, 235–250.
  5. Kelemen, Z. (2019). Impact: How RPA and AI Technologies Will Affect the Job Market. https://medium.com/slalom-technology/impact-how-rpa-and-ai-technologies-will-affect-the-job-market-b54045a5e598
  6. Kroll, C., Bujak, A., Darius, V., Enders, W., & Esser, M. (2016). Capgemini Consulting: Robotic Process Automation-Robots conquer business processes in back offices. https://www.de.capgemini-consulting.com/resource-file-access/
  7. Kukreja, M., & Nervaiya, A. s. (2016). Study of Robotic Process Automation (RPA. International Journal on Recent and Innovation Trends in Computing and Communication, 4(6), 434–437.
  8. Laurent, P., Chollet, T., & Herzberg, E. (2019). Intelligent Automation Entering the Business World.

Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Publication Date

December 3, 2022

Submission Date

August 24, 2022

Acceptance Date

September 6, 2022

Published in Issue

Year 2022 Volume: 25 Number: 4

DOI

https://doi.org/10.17780/ksujes.1166624

IZ

https://izlik.org/JA93EW89SC

Cite

RIS / Bibtex
APA
Doguc, O. (2022). AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25(4), 760-773. https://doi.org/10.17780/ksujes.1166624

Cited By

Turkish Optical Character Recognition Under the Lens: A Systematic Review of Language-Specific Challenges, Dataset Scarcity, and Open-Source Limitations

IEEE Access

https://doi.org/10.1109/ACCESS.2025.3614147