Case Study: Bama achieves smarter financial forecasting and lower cash flow losses with Snowflake

BAMA Creates a Fresh and Healthy Future with Snowflake

Bama, the largest fruits and vegetables company in the Nordics, needed a better way to bring data into the cloud and make it more accessible across a complex value chain. Using Snowflake, Bama centralized its data and enabled data science to support smarter decisions, especially for challenges like currency exchange risk and finance forecasting.

Snowflake helped Bama keep data, governance, machine learning, orchestration, model hosting, and training in one platform. With Snowpark ML, Bama built machine learning models to predict currency needs and improve due-date forecasting, allowing the finance team to buy currency proactively. The result was a 35% reduction in cash flow-related losses, worth up to an estimated $700,000, while also improving time-to-market for new ML solutions.

Bama

Hans Martin Espegren

Head of data science