Case Study: Maison Orphée achieves 6× more agility and faster, fresher forecasts with John Galt Solutions' ForecastX

Maison Orphée Forecasting Demand Where Freshness Is a Cold-Pressing Concern

Maison Orphee is a Quebec-based maker of cold-pressed oils, vinegars, mustards and condiments with about 100 SKUs distributed through three distribution centers and sold via retailers and e-commerce. Faced with perishable products, seasonal supplier constraints and an annual forecasting process that became quickly outdated, the company struggled with frequent ad-hoc adjustments that eroded plan quality — so they engaged John Galt Solutions and its ForecastX forecasting tool.

John Galt Solutions implemented ForecastX (including the ProCast algorithm) directly in Maison Orphee’s Excel workflows to automatically select optimal statistical models, account for seasonality, promotions and supply-side harvest effects, and overlay planned marketing events. The change let the team update forecasts every two months instead of once a year, cut revision sessions from many days to just a few hours, and delivered a six-times increase in agility when responding to changing supply chain constraints.

Maison Orphee

Elizabeth Gelineau

Demand Planner