Imagine a smart dashboard for food factories that acts like a fitness tracker for the planet. It monitors how much water and energy a plant uses and suggests ways to cut waste using AI. It also helps coordinate the delivery of raw materials so nothing spoils while waiting in line.
Food producers struggle to track and reduce resource consumption (water/energy) and optimize the logistics of perishable raw materials, leading to waste and higher costs.
["Green Deal Index (GDI): A single indicator for environmental sustainability assessment.", "CLARUS Data Space: A secure, IDSA-compliant environment for data sharing and sovereignty.", "CLARUS AI Toolkit: A set of models for predictive maintenance, energy forecasting, and logistics optimization."]
If you are an industrial food processor dealing with high utility bills — this project developed AI models that forecast energy and water consumption to reduce waste. This allows for more precise resource management during the freezing process.
If you are a by-product processing plant dealing with perishable raw materials — this project developed logistics optimization tools that manage the arrival of by-products. This ensures product quality is maintained by reducing wait times.
If you are a sustainability auditor dealing with fragmented environmental data — this project developed the Green Deal Index (GDI) that turns complex operational data into a single sustainability score. This simplifies reporting and traceability for EU compliance.
Based on available project data, no specific pricing or cost structures are mentioned.
Yes, the solution was validated through two large-scale industrial pilots focusing on frozen food and meat by-product production.
Based on available project data, specific licensing terms are not provided, though it utilizes standardized open protocols and IDSA principles for data sovereignty.
It uses a secure and interoperable Data Space compliant with International Data Spaces Association (IDSA) principles to ensure data transparency and auditability.
The project period runs from 2022-09-01 to 2025-11-30, indicating it is currently in the validation and finalization phase.
The consortium is highly industry-oriented, with 50% of the 10 partners being industrial entities, including 2 SMEs. This balance between 3 universities, 2 research centers, and 5 companies suggests a strong focus on practical application and commercial viability rather than pure theory.
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