Detect and correct anomalies, outliers, and demand shifts at scale, so noise is removed before it impacts forecasts and downstream decisions.

Classify items by demand behavior to apply the right forecasting strategy and the right level of automation, segment by segment.

Select and run the most relevant forecasting models for each demand pattern, improving accuracy, consistency, and planner confidence.

Incorporate predictable events and continuous variables (weather, holidays, pricing, promotions) so forecasts reflect real-world dynamics.

Understand what changed, why it changed, and which drivers were used, enabling transparency, tunable parameters, and governed decision-making.

Leverage AI assistants and specialized agents to analyze issues, explore scenarios, and support end-to-end workflows, with your objectives and rules.