Applying conformal prediction in real-world industrial use cases is rare, and publications are often limited to popular open-source data sets. This paper demonstrates two experimental use cases where the conformal prediction framework was applied to regression problems at Husqvarna Group with the two Python-based open-source platforms MAPIE and Crepes. The paper concludes by discussing lessons learned for the industry and some challenges for the conformal prediction community to address.