One of the most innovative development directions at the InDeRe Food Research and Innovation Institute is the integration of artificial intelligence into digital HACCP processes. One AI function generates SQL-based reports from natural language queries, making the retrieval of management information faster and simpler.
The system also features an AI-powered e-learning module that creates targeted, GHP-based training materials based on deficiencies identified during self-audits. These materials are not generic but kitchen-specific, tailored to problems discovered at each particular location. The AI can also assist in compiling related exam questions, which quality assurance inspectors can override if necessary.
This represents a significant advancement because the system not only documents but also develops: it provides immediate feedback on errors, supports employee learning, and fosters a culture of continuous improvement. AI-supported operations thus enable faster decision-making, more targeted training, and more effective food safety control.
The development is progressing beyond the conceptual stage and is currently undergoing testing in real operational environments. A pilot is underway in 20 kitchens to evaluate the usability and effectiveness of the digital food safety management system in daily practice.
The pilot period is particularly important for determining how well digital forms, automatically generated protocols, and reporting and inspection functions can be integrated into routine operations. Special attention is also given to the system's adaptability to varying kitchen conditions, different room layouts, and diverse equipment.
The pilot experiences will provide a clearer picture of which functions best support the daily work of kitchen staff and quality assurance inspectors. Practical feedback will aid further development, refine the user interface, and ensure the system truly meets the needs of public catering stakeholders. The testing in twenty kitchens is therefore a critical milestone for the project.
András Tóth PhD
