Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach

A company may receive loads of invoices and need to process them to make the payment in time. Staff need to manually extract the information from the invoices and key in the payment details into the company system, which will take a lot of man-hours and be subject to human error. This paper proposes...

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Published in:2022 IEEE 20th Student Conference on Research and Development, SCOReD 2022
Main Author: Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145436834&doi=10.1109%2fSCOReD57082.2022.9973841&partnerID=40&md5=221ae0c2fcfeb16d7eb5cfea09104c05
id 2-s2.0-85145436834
spelling 2-s2.0-85145436834
Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
2022
2022 IEEE 20th Student Conference on Research and Development, SCOReD 2022


10.1109/SCOReD57082.2022.9973841
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145436834&doi=10.1109%2fSCOReD57082.2022.9973841&partnerID=40&md5=221ae0c2fcfeb16d7eb5cfea09104c05
A company may receive loads of invoices and need to process them to make the payment in time. Staff need to manually extract the information from the invoices and key in the payment details into the company system, which will take a lot of man-hours and be subject to human error. This paper proposes the use of optical character recognition (OCR) and artificial intelligence (AI) to extract semi-structured data from invoice images. The Robotic Process Automation (RPA) bot approach was developed as automation for entering data into the company's system to automate system. The validation result displays how well the system performed in terms of accuracy and processing time for the samples of invoice images. The system shows that accuracy is 100% with less than 30 seconds to complete the process. Hence, RPA with AI and OCR are suitable methods to be used as the invoice processing solution. © 2022 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
spellingShingle Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
author_facet Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
author_sort Rohaime N.A.; Abdul Razak N.I.; Thamrin N.M.; Shyan C.W.
title Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
title_short Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
title_full Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
title_fullStr Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
title_full_unstemmed Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
title_sort Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach
publishDate 2022
container_title 2022 IEEE 20th Student Conference on Research and Development, SCOReD 2022
container_volume
container_issue
doi_str_mv 10.1109/SCOReD57082.2022.9973841
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145436834&doi=10.1109%2fSCOReD57082.2022.9973841&partnerID=40&md5=221ae0c2fcfeb16d7eb5cfea09104c05
description A company may receive loads of invoices and need to process them to make the payment in time. Staff need to manually extract the information from the invoices and key in the payment details into the company system, which will take a lot of man-hours and be subject to human error. This paper proposes the use of optical character recognition (OCR) and artificial intelligence (AI) to extract semi-structured data from invoice images. The Robotic Process Automation (RPA) bot approach was developed as automation for entering data into the company's system to automate system. The validation result displays how well the system performed in terms of accuracy and processing time for the samples of invoice images. The system shows that accuracy is 100% with less than 30 seconds to complete the process. Hence, RPA with AI and OCR are suitable methods to be used as the invoice processing solution. © 2022 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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