Automate Data Extraction from Dangerous Goods Declarations

Automate data capture from Dangerous Goods Declarations with Nanonets’ AI-powered Dangerous Goods Declaration OCR & machine learning. Extract data from Dangerous Goods Declarations & automate workflows for related use cases.
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Here's why you will love Nanonets

Capture Dangerous Goods Declarations from Emails

Collect or forward your emailed dangerous goods declarations to your Nanonets Inbox.

Automated Data Entry

Snap a picture and Nanonets will take care of the rest.

90% straight through processing

Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.

HOW WE CAN HELP

Use cases for Nanonets’ dangerous goods declaration OCR

Customs & quality

Automate Customs & quality workflows/processes such as compliance, clearance, declarations and more.

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Customs & quality

Logistics

Automate Logistics workflows/processes such as processing shipping documents, transportation documents and more.

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Logistics
Dangerous Goods Declarations
WHAT WE EXTRACT

Fields that can be identified

Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.

AWB number
Consignee
Shipper
Shipment type
Packing group
ID number
And many more...

When your business is your passion, don’t let data entry get in the way.

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How we compare

Benefits of Nanonets' Dangerous Goods Declaration OCR API

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Traditional OCR Tools
Data Formatting
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High savings
Nil or low training data
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High training data
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High training data
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Receive documents from multiple channels
Amount of training data needed
Self-learning AI
No Template setup required
IT / API friendly
Multiple export options
Cost and Time Savings

Frequently asked Questions

Learn more about dangerous goods declaration automation & how Nanonets can help.

What types of dangerous goods declarations are supported?
Are dangerous goods declaration line items extracted?
Is Nanonets’ dangerous goods declaration capturing GDPR compliant?