> For the complete documentation index, see [llms.txt](https://guide.digicust.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.digicust.com/features/data-extraction/delivery-notes.md).

# Delivery Notes

Extracting data from delivery notes is a vital component of Dexter's data extraction feature, enabling businesses to automate the customs declaration process and ensure compliance with import and export regulations. Here are some key points to consider:

Why Extract Data from Delivery Notes?

• **Critical Information**: Delivery notes often contain critical information that is not included in invoices or other documents, such as the weight and dimensions of the shipment, the number of packages, and the origin and destination addresses. This information is required by customs officials to accurately assess the duties and taxes owed on the shipment.

• **Compliance with Regulations**: Providing accurate and complete information on delivery notes is essential for compliance with import and export regulations. Failure to do so can result in delays, fines, or even seizure of the shipment.

• **Streamline the Customs Declaration Process**: By automating the extraction of data from delivery notes, Dexter enables businesses to streamline their customs declaration process, saving valuable time and resources.

• **Improved Accuracy and Completeness**: With a 98% accuracy rate, Dexter's data extraction feature ensures that businesses can rely on the accuracy of the extracted data, without the need for manual verification.

Overall, Dexter's data extraction feature from delivery notes is a vital tool that enables businesses to streamline their customs declaration process, improve their overall efficiency, and ensure compliance with import and export regulations. By automating the extraction of data from delivery notes, businesses can provide accurate and complete information to customs officials, avoiding potential fines or penalties, and focus on more value-adding tasks.

<br>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://guide.digicust.com/features/data-extraction/delivery-notes.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
