Every year, around eleven million tons of food were devastated in Germany during production or in the value chain itself. They end up in the waste before they reach the consumer. This does not only results in losses, but also in environmental and climate damage. The project "REIF - resource-efficient, economical and intelligent food chain" has set itself the goal of conserving waste in the food industry, using AI.
As part of the project, the potential of waste reduction using AI in dairy, meat and baked goods industry will be figured out in the following three years. The aim is to reduce food losses by up to 90 percent . To reach this goal, there are two important points along the value chain: minimizing overproduction and avoiding waste. Where conventional technologies reach their limits, artificial intelligence could offer innovative solutions. With the help of AI, for example, consumer demand can be forecasted more precisely or the production infrastructure can be enabled to react quickly to both fluctuating demand and fluctuating raw material quality.
The project includes 18 consortium partners from industry, associations and research, as well as 12 associated project partners - from the well-known brand manufacturer to the young start-up. They work in eight subprojects along the value chain. The roadmap for the implementation phase was developed by Fraunhofer IGCV, Software AG and the Technical University of Munich as part of the competitive phase of the innovation competition "Artificial intelligence as a driver for economically relevant ecosystems".
REIF is a project within the funding initiative "Artificial intelligence as a driver for economically relevant ecosystems", is sponsored by the Federal Ministry for Economic Affairs and Energy (BMWi) and supervised by the project executing organisation German Center for Aerospace. V. (DLR). For further information visit www.ki-reif.de.