Araştırma Makalesi

AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES

Cilt: 25 Sayı: 4 3 Aralık 2022
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi Kapak
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
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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

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Bilgisayar Yazılımı

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

3 Aralık 2022

Gönderilme Tarihi

24 Ağustos 2022

Kabul Tarihi

6 Eylül 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 25 Sayı: 4

DOI

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

IZ

https://izlik.org/JA93EW89SC

Kaynak Göster

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