The C3 AI Demand Forecasting application enables organizations to accurately forecast future demand for products and services. This allows organizations to optimize inventory, reduce operational costs, and enhance customer satisfaction through data-driven planning and resource management.Documentation Index
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Product Features
The C3 Demand Forecasting application includes the following capabilities to support enterprise-grade forecasting workflows:- Manual ML forecast rejection: Allows planners to reject ML-generated forecasts with optional feedback, without the need to overwrite them manually.
- Evidence package: Offers a unified table and heatmap for forecast interpretation; both components are customizable and exportable.
- Filtering and display: Adds user interface options including multi-status filtering, identifier visibility, and detailed cross-page views.
- Spreadsheet component: Displays both Demand Forecasting Subject (DFS) node names and IDs, supporting granular data slicing and usability for planners.
- Error analysis tools: Supports analysis of forecast accuracy through metadata-based slicing and automated performance report generation.
Configuration workflow
The C3 AI Demand Forecasting app must be configured for an organization’s specific requirements. The configuration of the Demand Forecasting application typically involves the following steps:- Application setup
Deploy the application within a C3 AI environment and ensure necessary runtime services are available. - Data integration
Connect the application to relevant data sources, including structured enterprise databases and external input streams. - Application configuration
Define alert rules, configure the UI, and define forecasting scoring to best suit your business needs. - Forecast configuration and tuning Customize forecasting models, parameters, and workflows according to business-specific requirements.