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Blogs, News & Articles

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    Automating Workflows with AI powered OCR

    Organizations across industries are constantly seeking innovative solutions to streamline operations, reduce costs, and enhance productivity. For instance, a major healthcare provider in the USA faced significant challenges with managing patient records. The manual process of entering patient information from various forms into their system was time-consuming and prone to errors. By integrating...
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    Compliance and Regulatory Trends in Invoice Automation

    According to EY's 2023 Global E-Invoicing Study, over 70% of businesses worldwide have adopted electronic invoicing (e-invoicing) to meet regulatory requirements and improve operational efficiency. With governments and regulatory bodies continuing to t...
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    Top Machine Learning Techniques for Material Test Reports Automation

    The integration of machine learning (ML) into material test report automation represents a significant leap forward in efficiency, accuracy, and insight. Material testing, which is critical for ensuring the quality and reliability of products across industries, traditionally relies on extensive manual analysis. However, machine learning algorithms can streamline this process, making it faster, ...
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    The Rising Trend of AI-Powered Invoicing for the Metal Industry

    The metal industry encompasses a diverse array of sectors, each with unique challenges and requirements. From steel and aluminum to copper and other specialized metals, the need for precise, efficient, and accurate invoice generation is paramount. AI-powered invoice solutions offer a transformative approach, streamlining processes and ensuring high levels of accuracy. This blog explores how AI ...
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    Advanced OCR and AI: The Future of Capturing Complex Data in Material Test Reports

    A crucial factor in preserving efficiency and accuracy in metal manufacturing is the effective management of Material Test Reports (MTRs). These documents contain vital information such as the Form, Grade, Size, and Finish of materials, which must be meticulously recorded and analyzed. Traditionally, this process has been manual and labor-intensive, prone to errors and inefficiencies. Howeve...