Automated algorithms automatically combine nine industry-standard and proprietary forecasting models, mixed in an infinite number of combinations to handle a wide range of product life cycles and demand patterns including intermittent demand.
This produces a forecast that accommodates seasonality, promotions, trends, and other causal factors simultaneously. Causal correlations and other analytic parameters are automatically maintained at appropriate hierarchical levels where statistically relevant and adequate data points are available.