Case Study: Grupo Fleury achieves 10% improved forecast accuracy and faster, granular demand forecasting with FICO Forecaster

Grupo Fleury applies advanced analytics to enhance demand forecasting

Grupo Fleury, one of Brazil’s largest diagnostic medicine companies (240 service centers, 3,500 tests and 10,000+ employees), faced a complex, manual demand‑forecasting process that struggled to reconcile supply and demand across many businesses, locations and services while accounting for local events like Carnival. The company needed higher granularity, faster forecast creation and a way to incorporate business expertise into analytic models to allocate resources more accurately.

Using FICO Forecaster on the FICO Xpress Insight platform—combining augmented machine learning, sophisticated statistical methods and analyst input—Grupo Fleury implemented integrated demand forecasting, performance management and potential‑demand modules with dynamic dashboards. The solution automated onboarding of new units, increased forecast granularity to day/exam, reduced forecast creation time, cut mean absolute percentage error by 10% and improved accuracy by 10%, lowering costs through better resource allocation and freeing analysts to act on strategic opportunities.

Grupo Fleury

Hans Lenk

Director of Business Analysis & Data Insights