Case Study: Berlin Brands Group accelerates machine learning production with Valohai

Berlin Brands Group pioneers direct-to-consumer brands through data

The Berlin Brands Group, a direct-to-consumer company with a portfolio of over 56 brands, sought to leverage machine learning to generate valuable insights from its extensive data. To quickly move its first ML initiatives from design to production without building infrastructure from scratch, the company adopted the Valohai MLOps platform.

Valohai provided the managed infrastructure that allowed the data science team to focus purely on building models for use cases like demand forecasting and NLP. This solution enabled Berlin Brands Group to achieve a new tier of productivity, shipping ambitious ML solutions quickly and beginning its transformation into an ML-powered organization.

Berlin Brands Group

Alessandro Valentino

Data Scientist