Demand planning¶

This business application template, part of the Supply Chain & Ops Suite, provides a demand planning predictive model development and forecasting workflow in DataRobot. It utilizes example data stored in SAP Datasphere and sourced from SAP IBP to enhance demand forecasting. It helps demand planners predict SKU-level demand fluctuations, optimize inventory allocation, and reduce stockouts and markdowns.

Key features¶

• AI-enhanced forecasting: Augment SAP IBP’s built-in models with DataRobot’s advanced time series forecasting, improving accuracy by factoring in external variables like climate and inflation.
• Proactive forecast adjustments: Identify SKUs with high-forecast discrepancies, allowing planners to focus on correcting the most impactful errors.
• Seamless SAP IBP integration: Connect via the SAP BTP Integration Suite to enable smooth data exchanges between SAP IBP and DataRobot’s external forecasting models.
• Optimized inventory planning: Ensure precise replenishment decisions, reducing markdowns and stockouts while adapting to regional demand shifts.
• Flexible external data integration: Enhance forecasts by incorporating third-party data sources, capturing complex demand patterns beyond traditional models.

Architecture¶

Each template provides an end-to-end AI architecture, from raw inputs to deployed application, while remaining highly customizable for specific business requirements.

Application templates contain three families of complementary logic. For this template, you can opt-in to fully custom AI logic and a fully custom front-end or utilize DataRobot's off-the-shelf offerings:

• AI logic: Necessary to service AI requests, generate predictions, and manage predictive models.

• App logic: Necessary for user consumption, whether via a hosted front-end or integrating into an external consumption layer.

• Operational logic: Necessary to turn on all DataRobot assets.