At Woods Process Services, we leverage in-house statistical modeling and industry expertise to generate forward-looking forecasts on key reagents and commodities critical to metallurgical operations, drawing from a dataset that spans 221 different commodities across 73 countries.
Our forecasts are built using 10 years of historical pricing data sourced from Intratec.com. For example, the sodium cyanide forecast is generated using a seasonal ARIMA model, which accounts for both long-term trends and recurring seasonal patterns. While we are not at liberty to share the underlying historical data, our models are designed to provide reliable, data-driven insights to support planning and purchasing decisions.
