Traceability of manufacturing processes and products

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.

Another benefit of AI in traceability is that it enables quick and accurate identification of products that may be affected by a recall. Here, AI technology can be used to identify and isolate affected products in the shortest possible time to minimize potential harm to consumers.