Citation :

Shyam Patel, 2024. "OCR Technology in SAP ERP: Enhancing Efficiency and Accuracy of Business Process" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 3: 110-115.

Abstract :

Optical Character Recognition (OCR) is a transformative technology that converts various document types, including scanned paper documents, PDFs, and images from digital cameras, into editable and searchable data. This research paper delves into OCR technology, focusing on its application within SAP ERP systems. It examines the significant benefits OCR offers, such as enhancing efficiency, accuracy, and reducing costs by automating data extraction and document processing. The paper also reviews current OCR products in the market, evaluating their advantages and limitations. Additionally, it discusses emerging trends in OCR technology, offering a forward-looking perspective on its development. By integrating OCR, businesses can streamline these processes, leading to substantial operational improvements. The paper aims to provide a comprehensive analysis of OCR's integration into SAP ERP systems, highlighting implementation strategies, key features, and potential challenges. It includes practical examples like Order to Cash, Procure to Pay, and cash application processes to showcase how OCR technology can optimize business operations. Furthermore, the adoption of OCR technology is expected to play a crucial role in reducing the carbon footprint associated with these processes, aligning with broader sustainability goals. Overall, this research offers valuable insights into the current state and future potential of OCR in enhancing business efficiency within ERP systems.

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Keywords :

Accuracy, Automation, CASH application, Data Extraction, Document Processing, Efficiency, Esker, Future Trends, Integration, OCR, Optical Character Recognition, SAP ERP.