Document Generation for Plastics Manufacturer

AI-Powered Document Automation Cuts Manual Workload by 84%

A leading plastics company in Asia streamlines work order creation with generative AI, improving efficiency across regional operations.

About
Challenge

The company was facing inefficient operations in generating work order forms. Employees were spending significant time manually formatting and editing these documents for each order, including processes such as copying and pasting from templates, adjusting layouts, and editing  content. With multiple factories operating across East Asia, they also had to process documents in multiple languages, adding further complexity.

Key pain points included:

  • Excessive time spent on creating document for each work order

  • Fragmented workflows slowing down operations
  • Inconsistent quality and formats across different teams
Solution

The company incorporated a generative AI-powered document automation module to transform how work order forms are created. By leveraging large language models (LLMs), the system drafts well-structured documents in minutes — reducing the need for manual input and ensuring consistency across teams.

Feature Highlights
  • AI-assisted generation of work order documents with predefined formatting

  • Streamlined workflows from content draft to layout and final output

  • Built-in multilingual support to meet regional factory requirements

Feature

Solution Architecture

Result
  • 84% reduction in document creation time, from 2 hours to just 19 minutes

  • Improved operational efficiency, freeing up staff for higher-value work
  • Greater consistency and accuracy in document output
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