{"id":471,"date":"2024-10-16T04:06:10","date_gmt":"2024-10-15T22:36:10","guid":{"rendered":"https:\/\/electronikmedia.com\/blog\/?post_type=works&p=471"},"modified":"2026-06-16T15:30:47","modified_gmt":"2026-06-16T10:00:47","slug":"automating-multilingual-financial-document-processing-for-kreston","status":"publish","type":"works","link":"https:\/\/electronikmedia.com\/blog\/works\/automating-multilingual-financial-document-processing-for-kreston\/","title":{"rendered":"Automating Multilingual Financial Document Processing for Kreston"},"content":{"rendered":"
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\r\n Kreston, a global network of independent accounting firms, faced significant challenges in outsourcing European financial tasks to its Indian subsidiary.<\/em>\r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n

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\r\n With an expanding presence in Europe, Kreston needed to streamline the processing of multilingual financial documents while ensuring accuracy and compliance with regulatory standards. <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n

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Problem Statement<\/h4>\r\n

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The key issues Kreston faced were:<\/p>\n

Language Barriers:<\/strong> Indian accountants struggled with processing financial documents in multiple European languages, including invoices, receipts, and statements.<\/p>\n

Unstructured Data:<\/strong> Each document came in varying formats, complicating data extraction.<\/p>\n

Manual Workflow:<\/strong> Existing workflows relied on error-prone and time-consuming manual processes.<\/p>\n

Scalability:<\/strong> Kreston needed a solution capable of handling an increasing volume of documents without sacrificing speed or accuracy.<\/p>\n

These challenges led to inefficiencies, errors, and delays in financial workflows, ultimately threatening compliance and operational scalability.<\/p> <\/p>\r\n <\/div>\r\n \r\n

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Problem Statement<\/h4>\r\n

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The primary goals of Yantrik were to:<\/p>\n

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  • Eliminate the language barrier for financial document processing.<\/li>\n
  • Automate the extraction and categorization of financial data from diverse document types.<\/li>\n
  • Enhance operational efficiency by reducing manual intervention.<\/li>\n
  • Create a scalable solution to handle large volumes of multilingual financial documents.<\/li>\n<\/ul> <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n
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    Challenges Encountered<\/h4>\r\n

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    Document Diversity:<\/strong> European documents came in varied formats and layouts, requiring customized extraction models.<\/p>\n

    Language Complexity:<\/strong> Translating documents accurately without losing financial context was critical, particularly for invoices in complex European languages.<\/p> <\/p>\r\n <\/div>\r\n \r\n

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    Performance at Scale:<\/strong> Maintaining efficiency while processing large volumes of documents simultaneously was a challenge.<\/p>\n

    Data Accuracy:<\/strong> Ensuring high precision in extracting and classifying financial data across multiple languages and formats.<\/p> <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n

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    Solution Design and Approach<\/h4>\r\n

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    Yantrik addressed these challenges through an intelligent, cloud-based solution:<\/p>\n

    Automated Document Classification:<\/strong> Leveraging Azure Document Intelligence, Yantrik classified each document based on its structure and content type.<\/p>\n

    Custom Models for Design-Heavy Documents:<\/strong> For complex receipts and invoices with intricate layouts, we developed custom models to improve data extraction accuracy.<\/p> <\/p>\r\n <\/div>\r\n \r\n

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    Language Detection and Translation:<\/strong> Azure Cognitive Services provided real-time language detection, automatically translating non-English documents into English without losing key financial details.<\/p>\n

    Real-Time Data Streaming:<\/strong> Using React.js for the frontend and streaming APIs, Yantrik displayed processed documents as soon as they were ready, improving the user experience.<\/p> <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n

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    Results And Success Metrics<\/h4>\r\n

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    The deployment of Yantrik delivered immediate benefits to Kreston:<\/p>\n

    Efficiency Gains:<\/strong> Document processing times were reduced by 85%, allowing Kreston to process 50+ documents within minutes.<\/p>\n

    Accuracy Improvement:<\/strong> Yantrik achieved 98% accuracy in document classification and data extraction.<\/p> <\/p>\r\n <\/div>\r\n \r\n

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    Scalability:<\/strong> The system processed thousands of documents per day without performance degradation, enabling Kreston to scale its operations.<\/p>\n

    Elimination of Language Barriers:<\/strong> Kreston\u2019s Indian team could now process European-language documents seamlessly, significantly reducing the need for manual translation.<\/p> <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n

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    Building on Yantrik\u2019s success, future developments will include:<\/p><\/em>\r\n <\/p>\r\n <\/div>\r\n \r\n

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    Full Automation of Accounting Workflows:<\/strong> Expanding the system to cover end-to-end accounting tasks, from document processing to final reporting.<\/p>\n

    Trial Balance Automation:<\/strong> Introducing features for automatically sorting and balancing year-end financial data.<\/p>\n

    Language Expansion:<\/strong> Supporting additional languages and document types to expand into new markets.<\/p>\n

    AI-Powered Insights:<\/strong> Integrating advanced AI models to provide predictive analytics and financial forecasting.<\/p> <\/p>\r\n <\/div>\r\n <\/div><\/div>\r\n\r\n

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    Yantrik transformed Kreston\u2019s financial document processing, eliminating bottlenecks and enabling their Indian subsidiary to handle European financial tasks efficiently. By leveraging cutting-edge AI and cloud technologies, Yantrik ensured compliance, scalability, and real-time data processing, positioning Kreston for continued growth and innovation.<\/p> <\/p>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\r\n\r\n

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