A malt yield forecast with an excellent prediction performance, as well as first transfers to Augustiner Bräu, were successfully implemented to optimize the beer brewing process. The crucial next step is getting our ready-to-use analysis modules with built-in requirements into the running production. For this, we are creating an architecture for robust deployment, considering model resilience and automated detection of data drift and performance decay to eventually trigger new model training.