Processing packaging label information automatically thanks to AI


GS1 BelgiLux, part of the global GS1 network, faced bottlenecks in manual product data extraction. With ML6, they implemented an AI solution that cut processing from 48 hours to near real-time. The result: higher accuracy, faster onboarding, and quicker time-to-market.

Catch up quickly
GS1 BelgiLux teamed up with ML6 to automate product label data extraction with AI, cutting processing time from 48 hours to near real-time. The solution boosted accuracy, scalability, and efficiency—accelerating product onboarding, improving data quality, and driving faster time-to-market for their clients.
About this client
By teaming up with ML6, GS1 BelgiLux cut label processing from 48 hours to near real-time, boosting accuracy, speeding up product onboarding, and driving faster time to market.
Best known for the barcode, GS1 drives supply chain efficiency, safety, and visibility across 20+ sectors. GS1 BelgiLux, a member organisation of GS1, faced a major bottleneck: manually extracting product data from labels for their data platform. To solve it, they teamed up with ML6 to implement an AI-powered solution that transformed their data capture process—faster, smarter, and ready to scale.
Impact

Challenge
Manual Processes Creating Bottlenecks
01Extracting product data from labels was a slow and error-prone task that could take up to 48 hours. This manual effort not only delayed product onboarding but also created friction for suppliers and retailers who depend on accurate, timely information to move products to market.
Scaling Pressures from Growing Data Volumes
02With an ever-expanding range of products and stricter demands for data quality, GS1 BelgiLux faced mounting pressure to process higher volumes at speed. The manual approach simply could not keep up, risking lower accuracy, higher operational costs, and a weakened customer experience.
Solution
ML6, a prominent European AI solutions provider, built an AI solution that automated label data extraction using a Large Multimodal Model, Optical Character Recognition (OCR), prompt engineering, and expert rules to automate the data extraction process with remarkable accuracy. API integration ensured seamless data flow into their platform.
High accuracy
01he AI achieved 75+% accuracy in extracting crucial product details such as names, ingredients, and nutritional values, directly from labels.
Real-time processing
02GS1 cut processing time from 48 hours to near real-time.
Scalability
03The solution is built to scale easily to handle high volumes and is ready for future growth.
Results
The implementation of the AI solution delivered significant positive outcomes for GS1 BelgiLux:
The solution significantly reduced manual data entry and correction time, accelerating product onboarding and time-to-market for GS1 BelgiLux's clients.
By providing NCSC employees with quicker access to information, tools like the internal chatbot and ENSOC virtual assistant directly contribute to an improved quality of service, both internally and externally. Being able to process vulnerability data faster also enhances the timeliness and relevance of information shared with the public, contributing to a more digitally secure Netherlands.
Significant progress has been made in establishing AI Governance within the NCSC, including the definition of a tailored AI Governance framework. The implementation of the Three Lines of Defence model is structuring responsibilities for AI risk management. The development and initial roll-out of AI training programs are increasing AI literacy across the NCSC. These efforts collectively ensure a more responsible and compliant approach to AI adoption, aligning with ethical considerations, security requirements, and legal frameworks such as the EU AI Act.
Initiatives focused on developing scalable and reusable AI components aimed at creating efficiencies and accelerate the deployment of future AI applications within the NCSC.
Targeted training programs have been developed and are being implemented to raise the overall AI literacy within the NCSC at various levels, including introductory trainings on AI, generative AI, trustworthy AI, AI adoption, and AI governance.
The Collaboration
ML6 played a crucial role in the success of this project by providing:
- AI Expertise: ML6's team of AI experts developed and implemented the solution, ensuring its effectiveness and efficiency.
- Technology selection: ML6 selected and integrated the most suitable AI technologies, including Large Multimodal Models and OCR, to achieve optimal results.
- Project management: ML6 managed the project from start to finish, ensuring timely delivery and adherence to project goals.
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