Reducing manual document workflows by 92% for FoodChain ID | Firemind
Case study

Reducing manual document workflows by 92% for FoodChain ID 

Industry: Healthcare & Life Sciences

About

FoodChain ID is a global leader in food safety, compliance, and transparency, providing trusted certification and data solutions for the food supply chain.

Challenge

FoodChain ID needed to modernise its document processing workflows to manage large volumes of compliance and product data efficiently. Manual data extraction and classification slowed operations, increasing the risk of errors and resource costs. They required an automated, scalable solution to process complex document types while maintaining stringent accuracy standards.

Solution

Firemind built an Intelligent Document Processing workflow powered by AWS. Amazon Textract extracted structured data from PDFs, going beyond OCR to capture relationships and key fields, while Amazon Comprehend applied NLP to classify and extract insights. Doccano was integrated to provide a human-in-the-loop review process, enabling retraining and continuous accuracy improvements.

This solution replaced manual workflows with an automated, adaptive system capable of learning over time. FoodChain ID achieved a 92% reduction in document processing time, freeing teams to focus on innovation and customer value. The scalable AWS-based architecture ensures compliance, accuracy, and efficiency while lowering operational costs.

Services used

  1. Amazon Textract
  2. Amazon Comprehend
  3. Doccano

Results

  • 92% faster document processing
  • Improved accuracy over time
  • Reduced operational costs
  • Scalable, adaptive workflow

The team at Firemind is very responsive, works quickly, produces quality work, and was easy to work with.

Matthew StaverVP Software Engineering, FoodChain ID

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