If you are a food producer dealing with food chain security and fraud—this project developed AI-driven risk analysis and blockchain tracking that ensures the origin of ingredients is provable and compliant.
AI and Blockchain Platform for Real-Time Supply Chain Tracking and Regulatory Compliance
Imagine a digital passport for every product that records every stop it makes from the factory to the store. It uses a secure digital ledger so no one can fake the data and smart software to spot red flags or missing links in the chain. It's like having a GPS and an automated auditor for your entire business network.
What needed solving
Supply chains are fragmented and complex, making it hard for companies to prove their sustainability or origin claims. This lack of transparency creates risks regarding regulatory compliance and fraud.
What was built
A blockchain platform featuring AI risk scoring, a weakness analysis model for network topology, and an automated data extraction tool for business documents.
Who needs this
Who can put this to work
If you are a clothing brand dealing with complex global sourcing and sustainability claims—this project developed a digital product passport based on UNECE standards that proves where materials come from.
If you are an aerospace manufacturer dealing with strict safety regulations and part traceability—this project developed a secured B2B data sharing network that provides real-time visibility over the supply chain.
Quick answers
What is the cost or pricing model for this platform?
Based on available project data, specific pricing or cost structures for the end-user are not mentioned.
Can this be deployed at an industrial scale?
Yes, the project has already achieved pilots in the food and textile industries and is designed as a backbone solution for Industry 4.0.
What IP or licensing standards are used?
The platform implements the UNTP (UN Transparency Protocol), a global standard for traceability and digital product passports defined by UNECE.
How does it help with government regulations?
It uses AI-driven risk analysis algorithms to help companies anticipate and comply with evolving regulatory requirements across the product life cycle.
How is the data integrated from existing business documents?
The project built a Visual Document Understanding (VDU) layer using AI to automatically extract data from semi-structured business documents.
Who built it
The project is led by a single French SME, TILKAL, which received 100% of the industry contribution. This lean structure indicates a high level of internal technical ownership and a direct path to commercialization without the complexity of large academic partnerships.
Contact TILKAL in France for partnership or licensing inquiries.
Talk to the team behind this work.
Contact us to explore how to integrate this blockchain traceability tool into your supply chain.