# Demand Planning

> Demand Planning - 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 build and
> deploy a predictive model.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-01T23:10:48.147405+00:00` (UTC).

## Primary page

- [Demand Planning](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-sap-ibp.html): Full documentation for this topic (HTML).

## Sections on this page

- [Key features](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-sap-ibp.html#key-features): In-page section heading.
- [Architecture](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-sap-ibp.html#architecture): In-page section heading.

## Related documentation

- [Applications](https://docs.datarobot.com/en/docs/wb-apps/index.html): Linked from this page.
- [Application templates](https://docs.datarobot.com/en/docs/wb-apps/app-templates/index.html): Linked from this page.
- [Business planning templates](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/index.html): Linked from this page.

## Documentation content

# Demand Planning

> [!NOTE] Premium
> Contact your account team to learn more about deploying this premium template for your organization.

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

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