If you are a processed food producer dealing with inefficient ingredient sourcing — this project developed a predictive dashboard that optimizes sustainability indicators. This allows you to adjust recipes to be more local and seasonal while maintaining health standards.
AI-Driven Predictive Tools for Sustainable and Healthy Food Supply Chain Management
Imagine a giant digital map that tracks everything from how a crop is grown to how it affects your health and the planet. It uses smart computer programs to predict future trends, helping food companies make better choices. Think of it as a GPS for the food industry that guides them toward healthier and greener products.
What needed solving
Food supply chains lack a unified way to measure the combined impact of health, environment, and economics. This makes it difficult for companies to make decisions that are simultaneously sustainable, healthy, and profitable.
What was built
A predictive dashboard for industries and a mobile app for consumers featuring an eco-healthy fingerprint and reformulated recipes.
Who needs this
Who can put this to work
If you are an app developer dealing with a lack of verified sustainability data for users — this project developed a mobile app featuring an eco-healthy fingerprint. This gives your users a clear visualization of the environmental and health impact of their food choices.
If you are a producer dealing with unpredictable market demands and environmental pressures — this project developed digital twins to predict and optimize key indicators. This helps you make data-driven decisions to increase resilience and productivity.
Quick answers
What is the cost or pricing model for these tools?
Based on available project data, no specific pricing or cost structure has been disclosed as the project is currently in the implementation phase.
Can this be scaled to an industrial level?
Yes, the project aims to validate innovations through different agri-food systems and demonstrate applicability across various EU communities.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not listed, but the project focuses on creating a consolidated food data space and shared decision-making tools.
How does this integrate with existing company data?
The project explores existing private data sharing systems and uses AI to ensure data interoperability across the supply chain.
What is the timeline for deployment?
The project is active from 2024-02-01 to 2028-01-31, suggesting that final validated tools will be available toward the end of this period.
Who built it
The consortium is well-balanced for commercialization, featuring 17 partners across 8 countries. With a 41% industry ratio (including 7 industrial partners and 3 SMEs), there is strong private-sector involvement to ensure the AI tools meet market needs, supported by 6 universities for technical depth.
Contact UNIVERSIDAD DE VIGO in Spain
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Contact us to explore how to integrate these AI predictive food tools into your supply chain.