# Delivery Planning

> Delivery Planning - Provides a predictive model development and deployment workflow in DataRobot for
> delivery planning to predict the risk of delayed outbound customer deliveries.

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 `2026-05-01T23:10:48.146861+00:00` (UTC).

## Primary page

- [Delivery Planning](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-deliver-plan.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-deliver-plan.html#key-features): In-page section heading.
- [Architecture](https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-deliver-plan.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

# Delivery Planning

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

The Delivery Planning application template, part of the Supply Chain & Ops Suite, provides a predictive model development and deployment workflow to predict the risk of delayed outbound customer deliveries. It utilizes data sourced from S/4HANA via SAP Datasphere and writes back predictions to Datasphere to allow exposure through Analytics Cloud.

This application template helps planners identify delays that can impact customer satisfaction and can lead to returns or lost future revenue. Persistent delay patterns for shipping points, materials, transportation routes, and other attributes can be identified so systematic changes can be made. Items at risk of delay can be flagged so that you can take action to expedite the delivery, find alternatives, or adjust downstream expectations and dependencies to minimize the impact.

## Key features

- Accurate and transparent predictive models—Identify patterns across any number of of outbound deliveries, leveraging DataRobot’s extensive set of algorithms and tuning capabilities to make sense of large volumes of data. Discover key drivers and insights at the aggregate and individual levels.
- Seamless SAP integration—Experience smooth data exchanges between SAP and DataRobot via the Datasphere connector, accessing source data and writing back predictive results. This closed loop allows you to continue using your current infrastructure while augmenting it with the advanced AI capabilities that DataRobot provides.
- Flexible external data integration—Enhance models by leveraging both standard and custom fields in SAP, or incorporate third-party data sources, capturing complex patterns beyond traditional models. This template provides predefined data queries and has the flexibility to be adapted as required.

## 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.