> For the complete documentation index, see [llms.txt](https://docs.struct.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.struct.com/fundamental-concepts.md). # Fundamental concepts - [Overview](https://docs.struct.com/fundamental-concepts/overview.md): Struct PIM is built on a set of core concepts that define how product data is structured, managed, and distributed across the platform. - [Data Model](https://docs.struct.com/fundamental-concepts/data-model.md): The data model defines how information is structured in Struct PIM. It determines how product data is stored, organized, and related forming the foundation for everything - [Data Management](https://docs.struct.com/fundamental-concepts/data-management.md): Data management in Struct PIM focuses on how product information is created, maintained, and improved over time. - [Workflows & Automation](https://docs.struct.com/fundamental-concepts/workflows-and-automation.md): Workflows and automation in Struct PIM define how work is structured, managed, and executed across teams. - [Channels & Distribution](https://docs.struct.com/fundamental-concepts/channels-and-distribution.md): Channels and distribution in Struct PIM define how product data is delivered to external systems and used across different platforms. - [Drafts](https://docs.struct.com/fundamental-concepts/drafts.md): Drafts let you prepare changes to products, variant groups and variants without touching the current data, and merge them when they have been reviewed. - [Supplier data onboarding](https://docs.struct.com/fundamental-concepts/supplier-data-onboarding.md): Supplier data onboarding lets your suppliers fill in product data directly in a branded portal, while you decide what they see, what they are asked for and what needs your review. - [Data Onboarding Platform roadmap](https://docs.struct.com/fundamental-concepts/supplier-data-onboarding/data-onboarding-platform-roadmap.md): What the Data Onboarding Platform does today, and what comes next for the supplier portal, sources and the AI engine. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.struct.com/fundamental-concepts.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.