Traceability or tracking in production and supply chain is an important issue for companies to continuously ensure quality and safety of their products. Artificial intelligence can help automate and improve tracking.
Through the use of AI, data can be collected and analyzed in real time from various sources, such as production equipment, supply chain systems, or sensors. Algorithms can be developed that use machine learning technologies to identify and evaluate relationships between data.
In production, for example, the tracking of manufacturing processes and products can be automated. Here, AI can be used to monitor processes in real time to detect potential errors or failures and ensure product traceability throughout the manufacturing process. Our HookTracing® system solution also enables animal-specific batch tracing and control.
AI can also help improve traceability in the supply chain. For example, the transport routes of products can be monitored using sensors and GPS technologies to track the supply chain in real time. By analyzing this data, problems such as delays or bottlenecks can be identified and solved at an early stage.
Improve the quality and safety of products.
Increase efficiency of production and supply chain processes.
With the AI solution ArtificialVet®, animal welfare indicators and slaughter findings are specified and standardized via exemplary camera images.
Our AI application BoxInspector® provides automated quality assurance through image recognition with optimal recognition performance.
The AI solution HookTracing® offers the visual identification of individual animals via camera images of the Eurohooks (DIN 250).
In our AI potential workshop, we identify concrete use cases for AI in your company.
LivestockGuardian: Our AI-powered sensor data analysis for automated and continuous high animal activity detection.
With the AI solution MeatVision, (disassembled) products in returnable transport packaging and EURO boxes are automatically recognized.
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