Take a Science-Backed, Outside-In Approach to Demand Predictions
Explore how advanced AI algorithms paired with an intelligent use of internal and external data can bring new context to demand across your enterprise.
Demystify Demand Modeling
Apply a deep library of machine-learning algorithms to your historical demand models to understand signals in an unbiased way. Self-learn from complex demand patterns (e.g. seasonality) and find common segmentation groups to prescribe the best model for data-driven insights.
Master Cause and Effect
Access a wealth of external data from our Trend Cloud and/or other available data providers, including weather, macroeconomic indicators and events, to better understand causal factors and test new demand scenarios and sensitivities.
Put Your 'What-If' to the Test
Digitally test what-if demand scenarios and sensitivities across time horizons. Probabilistic forecasting allows you to evaluate multiple demand scenarios to arm your planners with insights for faster, smarter decisions amidst changing conditions.
Pick Your Future
A highly flexible time horizon allows modelers to predict demand from four weeks to three years into the future.
Consider Demand Implications Across the Enterprise
Connect and Integrate with both Coupa Supply Chain Modeler and Coupa Supply Chain App Studio to continually provide accurate demand predictions as input to all relevant supply chain decisions.