Automatically generate statistically driven, weighted consensus forecasts.
Monitor forecast performance to understand value added or lost at each step.
Use time-series forecasting to build models that reflect your business realities.
Visually analyze demand data to spot patterns and insights related to sales, shipments, pricing, promotions, etc.
Evaluate sales history and plan for future events – new products, locations, channel introduction – using what-if scenario analysis.
Measure the effect of sales and marketing strategies on consumer demand using multitiered causal analysis.
Gain near-real-time insight into supply and demand dynamics so you can avoid under- or over-stocking.
Calculate optimal inventory policies using multiechelon optimization with state-of-the-art simulation.
Use predictive modeling and what-if analysis to find out how different variables will affect the supply/demand balance.