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
- Amazon Textract
- Amazon Comprehend
- Doccano
The Results
- 92% faster document processing
- Improved accuracy over time
- Reduced operational costs
- Scalable, adaptive workflow
