




Collect or forward your emailed bills of entry to your Nanonets Inbox.
Snap a picture and Nanonets will take care of the rest.
Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.
Automate Customs & quality workflows/processes such as compliance, clearance, declarations and more.

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


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







Learn more about bill of entry automation & how Nanonets can help.
Automated data extraction for Bills of Entry uses Intelligent Document Processing (IDP) platforms to automatically identify, capture, and pull specific information from these complex customs documents. This process goes beyond basic Optical Character Recognition (OCR) by employing advanced AI and machine learning.
These technologies understand the context, layout, and specialized terminology within diverse Bill of Entry formats. This means crucial details like customs values, duty amounts, tariff classifications, importer/exporter details, and product descriptions are accurately identified and extracted, whether from scanned paper forms or digital files. The system then transforms this unstructured or semi-structured data into a structured, actionable format (e.g., CSV, JSON, or direct integration with customs management systems). This automation eliminates manual data entry, significantly reduces human errors, and prepares customs data for efficient processing, declarations, and compliance checks.
Various types of platforms can automate the processing of Bills of Entry, each offering different levels of capability and integration. Choosing the right one depends on an organization's specific needs for complexity, volume, and existing system compatibility:
Automated solutions can accurately capture a comprehensive range of critical data fields from Bills of Entry, which are essential for customs declarations, duty calculation, and trade compliance.
Key data points typically extracted include:
Automated platforms, such as Nanonets, are designed to handle the intricate and often tabular structure of these forms, ensuring high accuracy for all required customs fields.
The accuracy of OCR for complex and varied Bill of Entry forms depends heavily on the underlying technology.
Yes, modern automated data extraction solutions are specifically engineered to handle different versions and layouts of Bills of Entry from various customs authorities, both domestically and internationally. This capability is a hallmark of AI-powered Intelligent Document Processing (IDP) platforms. Unlike older, rigid systems, IDP solutions leverage advanced AI and machine learning models that are "layout agnostic."
These capabilities are vital for international trade, reducing manual intervention and ensuring accurate data capture despite constant variations in customs documentation.
Automating data extraction from Bills of Entry offers significant benefits for businesses engaged in import/export, logistics, and customs brokerage:
Automated Bill of Entry processing significantly enhances supply chain visibility by providing timely, accurate, and structured data at a critical juncture: customs clearance.
By providing a clear, digital window into customs processes, automated solutions empower businesses to make informed decisions and optimize their global logistics operations.
Automated Bill of Entry data extraction is a game-changer for customs brokerage firms, streamlining their core operations and improving service delivery.
Automating Bill of Entry processing has critical applications across the entire spectrum of import/export operations, enhancing efficiency, compliance, and strategic decision-making:
Automating data extraction from Bills of Entry, while highly beneficial, presents specific challenges that advanced Intelligent Document Processing (IDP) solutions are designed to overcome:
Modern IDP platforms, including Nanonets, are specifically developed to address these complexities through adaptive AI, specialized models, and human-in-the-loop workflows.