Case Study

Automate Unstructured Document Parsing & Entry in Manufacturing

By ComPDFKit | Thu. 28 Nov. 2024
ComIDPIntelligence Document ProcessingManufacturing

Efficiently managing and processing vast amounts of paper and digital documents is the key for traditional manufacturing enterprises in streamlining workflows and achieving digital transformation. We ComIDP team successfully helped a smart meter manufacturer overcome this challenge. 

 

Through intelligent recognition, parsing, and extraction of unstructured documents, coupled with custom development to meet their specific data matching and filling requirements, we built an efficient, automated document processing flow that significantly improved work efficiency. In this article, we will explore the tailor-made solution we provided for this enterprise and how intelligent document processing can help businesses achieve more efficient and intelligent operations.

 

automate-unstructured-doc-parsing-entry-in-manufacturing

 

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Client Requirements

 

The smart meter manufacturer received a large number of technical tender documents during a tendering process, which were typically unstructured formats such as Word or PDF files, containing various product categories and their corresponding parameters. 

 

They needed to extract specific parameters from these tendering documents and organize them into technical parameter tables in Excel format. Due to the diversity of product specifications and the scattered nature of the parameter data across different tables, accurate extraction and matching of relevant data from a large volume of information was required.

 

tender-doc-parameter-doc

 

Currently, they primarily relied on manual methods to process the information, which not only consumed significant time and labor but also led to errors. Therefore, they sought to leverage AI technology to automatically recognize and process these technical documents and generate product technical parameter tables. Additionally, they hoped to apply it to other similar scenarios, such as contract processing and recruitment data analysis.

 

ComIDP Intelligent Document Processing Solution

 

We engaged in multiple in-depth discussions with this manufacturer to fully understand their business needs and pain points. To meet their high standards for data accuracy, efficiency, and flexibility, our ComIDP team developed a tailor-made intelligent document processing solution after extensive brainstorming and optimization. 

 

Through continuous communication and refinement, we ensured that the solution could not only extract, match, and fill the required data accurately but also seamlessly integrate with the client's existing systems for automated document processing.

 

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Intelligent Document Parsing

 

In their unstructured documents, about 70% of the key information to be extracted is tabular data, while the remaining 30% is scattered in paragraph text. The table data was relatively standardized without complex table structure, though there could be differences in field order and column names. Meanwhile, the exported structured parameter documents are based on a fixed template but had multiple versions, with the main distinction being different column names.

 

To handle these documents, our R&D team first performed layout analysis on the imported Word and PDF files. ComIDP's intelligent document parsing technology supports over 24 types of data labels, allowing for high-precision parsing of content such as text, tables, images, headers and footers, directories, formulas, and code. This ensured that the parsed data maintained consistency with the original document. 

 

Based on the client's document types and requirements, ComIDP parsed both the text and tables within the documents. At the same time, ComIDP parsed the Excel parameter templates that needed to be filled, iterating through the list data and extracting the parameter information from each row to lay the foundation for subsequent data filling.

 

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Intelligent Document Recognition and Extraction

 

On the basis of intelligent document parsing, ComIDP employs advanced AI OCR technology to accurately recognize and extract text information from technical documents, organized by paragraphs. 

 

Meanwhile, we leveraged our proprietary table recognition technology to efficiently proccess various complex tables. Even in the case of borderless tables, merged cells, and other challenges, ComIDP's intelligent table extraction achieved over 85% accuracy in converting them into structured Excel or JSON formats, ensuring high-precision extraction and structured transformation of document content to meet the client's data quality and efficiency requirements.

 

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Customized Services

 

To meet the specific needs of the enterprise, ComIDP provided a customized intelligent data retrieval and matching service. For complex table data, we utilized advanced key-value pair technology to compare and retrieve the extracted key information against preset parameters in the template, ensuring precise data matching.

 

For matched data, our solution automatically extracted and filled it into the Excel technical parameter document according to predefined rules. For unmatched data, the solution further employed a large language model for semantic recognition to intelligently infer appropriate data. For data that still could not be matched, the system automatically filled in default values, ensuring document completeness and consistent formatting.

 

Through the automated data filling process, their emplyees no longer had to rely on manual operations, significantly improving work efficiency and reducing the potential risks associated with human errors.

 

Workflow Automation: ComIDP + RPA + ERP

 

In the future, we two parties will work together to integrate ComIDP's intelligent document processing solution with RPA (Robotic Process Automation) and their enterprise systems, achieving comprehensive business process automation.

 

This integration will revolutionize traditional document processing methods, greatly enhancing work efficiency and reducing human errors. RPA will automatically execute repetitive and high-frequency document processing tasks, overcoming time and manpower limitations, and ensuring 24/7 continuous operation to support the client's global operations. At the same time, the system will push accurate data to the ERP in real-time, streamlining data flow and enhancing the precision of resource management, production scheduling, and business operations, laying a solid foundation for future digital transformation.

 

Conclusion

 

ComIDP's intelligent document processing solution has successfully helped the manufacturing enterprise automate the processing of technical documents. Compared to traditional manual document processing, ComIDP increased document processing speed by 90% and reduced error rates by 98%. Additionally, ComIDP can handle massive volumes of documents, processing over 1 million pages per hour, significantly improving work efficiency.

 

If you're interested in learning more about ComIDP's intelligent document processing solution, feel free to visit our official website for more information, or try out our Demo to experience the benefits of intelligent document processing firsthand. Let's explore more possibilities together and start your journey towards intelligent upgrades!

 

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