The research results indicate that the UiPath Document Understanding system is capable of integrating AI, OCR, and Robotic Process Automation (RPA) technologies into a single automated workflow that is able to improve time efficiency, data accuracy, and reduce human errors in the banking document management process.
This paper explains how technologies like OCR convert scanned documents into machine-readable formats and how supervised and unsupervised learning improve classification and data extraction and highlights improved performance in terms of accuracy, precision, recall, and processing time compared to traditional systems.
Andrew Collins, Emma Roberts· International Journal of Art...· 0 citations
Relevance. In the context of digital transformation and the active introduction of electronic document management systems, the volume of processed data is significantly increasing, a significant part of which contains personal information. An increase in the number of incidents related to data leaks, as well as stricte...
S. Gavrilov, A. V. Shamsutdinova, I. F. Shaymardanov· Informatization and communic...· 0 citations
In this work, presented is a technical description of a software module for automating customer order processing in an industrial company. Analyzed is the finding that manual processing of unstructured orders takes twenty to forty minutes per document and leads to errors when matching against a catalog of four thousand...
Александр Александрович Ерофеев, A. N. Babkevich, M. Ozerova et al.· International Conference on...· 0 citations
The SRIPSI system allows for transaction recording through everyday Indonesian/English language, a real-time balance dashboard, transaction history, and straightforward reporting, effectively addressing the shortcomings of previous manual applications like Money Lover and Wallet.
S. W., Tholib Hariono· NEWTON: Networking and Infor...· 0 citations
The results indicate that the proposed system reduces manual processing, improves routing accuracy, accelerates document handling, enhances document traceability, and facilitates centralized digital archiving, and supports a more efficient administrative workflow.
Wardhatun Khasanah, Abd. Ghofur, F. Santoso· G-Tech· 0 citations
This project proposes an AI Smart Document Management System with Dynamic Field Extraction that leverages Deep Learning and modern web technologies to address inefficiencies in organization, retrieval, and data extraction.
Kata Raju Reddy, Korada Ramya· International Journal of Sci...· 0 citations
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