Case Study: Molymet achieves rapid, multi-year "what-if" forecasting with Quantrix

Quantrix Delivers Dynamic Forecasting to Molymet

Molymet, a global metallurgical firm headquartered in Chile, faced fragile, time‑consuming forecasting built on manual spreadsheets—loading and transforming data took about eight hours, models were error‑prone, and the company could only produce one‑year projections. To address these challenges Molymet engaged Quantrix (with consulting partner Ingemax) to replace spreadsheets and enable dynamic "what if" forecasting connected to income statement and cash flow data.

Quantrix delivered a modeling solution that links to multiple data sources, automates ETL, and supports price‑and‑timing scenario analysis; the change cut data‑loading from a full workday to roughly 10 minutes, reduced projection preparation from over a month to same‑day scenario generation, and enabled three‑ to five‑year forecasts. Quantrix also increased confidence in calculations, eliminated excessive spreadsheet formulas, and produced a replicable model Molymet is deploying across the group.

Molymet

Juan Cristóbal Valenzuela

New Business Manager