Global Supply Operations
The ARIMA model, which stands for Autoregressive Integrated Moving Average, is a popular statistical technique used for time series forecasting. It combines autoregressive and moving average components along with differencing to make the data stationary, allowing for more accurate predictions of future values based on past trends. This model is particularly useful in demand forecasting in various markets, especially international ones where patterns can be influenced by many external factors.
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