Better forecasts come from more market context. Causal forecasting integrates all relevant demand signals into a single source of truth and performs predictive and visual analytics that improve forecast quality, resulting in better decisions ahead of the demand curve.
Increase customer satisfaction
Anticipate demand and increase production accordingly.
Increase revenue by predicting and then reducing stock-outs.
Improve new product and new store introductions with better customer insight at the point of sale and by incorporating relevant social analytics and other external data sources.
Logility’s causal forecasting solution augments your core demand forecasting and provides a more proactive approach versus basing inventory positions and replenishment schedules solely on shipment data.
Improve forecast accuracy by incorporating information from external demand signals, thereby increasing their ability to predict mid-term demand patterns.
Reduce lead times
Drive enhanced scheduling and procurement; lower expediting and inventory costs while increasing deployment scheduling efficiency.
Reduce over- or under-stock situations.