Mayo-Q introduced a fully automated system that constantly monitors the quality of every batch of mayonnaise. Predictive analytics and smart sensors track fat levels in real time, eliminating the need for manual checks or guesswork. The system generates blockchain-certified quality reports, offering producers and consumers alike a new level of trust and traceability. The technology delivers both operational improvements and strategic advantages in a highly competitive market.
Mayo-Q: IoT solution for real-time quality assessment of mayonnaise production
Mayo-Q is an innovative digital quality assurance system developed by AOTECH in collaboration with Cidacos, one of Spain’s leading food manufacturers. By combining smart AONIR sensors, IoT technologies, and blockchain reporting, the project brings real-time visibility and traceability to mayonnaise production, ensuring every batch meets quality expectations while reducing waste and increasing process efficiency.
In the food industry, quality control is often based on random sampling and delayed lab results—leaving little room for immediate correction. Cidacos faced this challenge in its mayonnaise production, particularly around maintaining the required 65% fat content. Any deviations risked reprocessing, waste, or customer dissatisfaction.
Mayo-Q set out to solve this by providing continuous, real-time measurement of fat content and production conditions—allowing the company to act immediately when issues arise and document quality with full transparency.
Predictive sensors and blockchain-backed trust
Key Impacts and Outcomes
- Immediate identification of quality issues during production
- Reduced waste through more efficient ingredient use
- Fewer incidents related to incorrect dosing or recipe deviations
- Increased customer satisfaction and product consistency
- Blockchain-certified traceability for every batch
- A powerful, real-time tool to better characterise production
The solution has proven to match lab results in accuracy, validating its reliability and establishing a new benchmark for digital quality monitoring.
Expanding Beyond Mayonnaise
Following the success of Mayo-Q, AOTECH Galicia and Cidacos are exploring new applications of the system in the quality control of other sauces, including tomato sauce and ketchup. The long-term ambition is to commercialise the solution for broader use across the food industry—helping more producers benefit from real-time insights, stronger traceability, and streamlined operations.
More information
Noelia Dosil Mayán
Coordinator of the Area of Innovation, Digital Transformation, and Entrepreneurship
June 2024 - May 2025