Case Study: Pöyry achieves 100x faster, more accurate pan‑European energy forecasting with FICO Xpress Optimization

Pöyry accurately predicts energy supply and demand across all of Europe

Pöyry, a leading European energy consultancy based in Vantaa, Finland, needed to move beyond spreadsheet modeling to deliver accurate, long-range forecasts across increasingly complex, interconnected energy markets. As renewables and decentralization grew, Excel-based approaches could not scale to pan‑European analyses or handle models with millions of variables and hundreds of thousands of constraints.

Pöyry adopted FICO Xpress Optimization (part of the FICO Decision Management Suite) to build flexible, large-scale linear and mixed-integer models and run scenarios in parallel. The change delivered roughly 100× faster runtimes (from ~24 hours to about 10 minutes), improved model accuracy, and the ability to produce multi-country, stochastic forecasts—expanding project scope and speeding strategic insights for clients.

Pöyry

Andrew Nind

Director