Introduction to Demand Modeler

Demand Modeler is a web-based app that provides demand forecasting in the cloud using a powerful AI forecasting engine. It provides accurate mid- to long- term forecasts using demand history, internal causal information (price, promotions, etc.), and external time series data available through Coupa's Trend Cloud (such as macroeconomic and World Bank time series data).

Typical users include demand modelers and supply chain modelers interested in forecasting demand.

With Demand Modeler, you can:

• Predict SKU, product family, and location/market level demand for mid- to long-term planning horizons of 12 months to 5 years in weekly, monthly, or quarterly time periods.
• Improve forecast accuracy and quantify key demand drivers
• Use powerful AI capabilities for self-learning complex features while also adjusting for seasonal trend patterns and lags that are critical for long term forecasting.
• Develop global models for cross-learning across multiple time series and identifying patterns that are often difficult to model based on a single time series.
• Incorporate internal data such as ad spend and price changes.
• Consider external data such as macro-economic indicators.
• Automate the forecast generation process for all products under one framework by combining tournament and ensemble modeling approaches with optimization of model parameters and hyperparameters.
• Measure and monitor forecast errors to identify products or locations that require further management.

Here are a few useful tips to get started:

• What's New provides information about the latest enhancements and features.
• Visit Getting started with Demand Modeler to get an overview of the product features.
• Visit the Coupa Success Portal for additional information, including training, product releases and customer events.
• The Demand forecasting overview topic provides detailed information about how Demand Modeler works