AI Automation, Automation, Generative AI, AWS

How Indiframe Transformed Fabrication Document Preparation

Key Challenges

Indiframe relied on a manual process to convert information from ERP-generated PDFs into fabrication documents. Preparing the documents took around one hour per work order and required the application of fabrication rules, careful processing of information, and clear annotations for factory teams.

Key Results

The automated workflow reduced fabrication document preparation time from approximately one hour to under two minutes per work order. The solution processes work-order units in parallel and generates structured, rule-based and annotated Excel outputs intended for factory use.

Overview

Indiframe’s factory teams relied on ERP-generated PDFs that had to be manually converted into fabrication documents, with each work order taking around an hour to process and requiring careful application of fabrication rules and annotations. To streamline this, Ankercloud developed an automated workflow that processes the information in ERP PDFs, handles multiple units within a work order in parallel, and generates consistent, rule-based and annotated Excel outputs for factory use. The solution reduced fabrication document preparation time from around one hour to under two minutes per work order, significantly reducing manual effort and accelerating the overall process.

Challenges

  • Manual Document Preparation: Fabrication documents were prepared manually from ERP-generated PDFs, taking around one hour per work order.
  • Time-Consuming Processing: Each work order required the relevant units and information to be reviewed and processed before the fabrication document could be prepared.
  • Complex fabrication rules: Teams needed to carefully interpret and apply fabrication rules to ensure the documents were accurate.
  • Factory-Ready Output: The resulting documents needed to be clearly structured and annotated so they could be used by factory teams.
  • Scalability: Processing work orders manually made it difficult to efficiently handle higher volumes without increasing operational effort. 

Solution

  • Automated PDF Processing: Developed an automated workflow to extract and process information from ERP-generated PDFs.
  • Parallel Processing: The solution processes the units within a work order in parallel, reducing overall document preparation time.
  • Rule-Based Generation: Fabrication rules are applied during processing to generate structured outputs.
  • Annotated Excel Outputs: The workflow generates Excel-based fabrication documents with annotations intended for factory use.
  • AI-Assisted Workflow: Claude Sonnet and Opus were used in the solution to support the document-generation workflow.
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    Business Outcome

    The automated workflow reduced fabrication document preparation time from approximately one hour to under two minutes per work order, significantly accelerating the document-generation process.

    The solution also helped standardize the preparation of fabrication documents by generating consistent, rule-based and annotated Excel outputs designed for factory use.

    The team reported good accuracy across the generated documents, supporting a more efficient and streamlined fabrication-document preparation process.

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