Shippio Launches 'AI Shipment Creation': Automating Trade Case Registration
Shippio has launched 'AI Shipment Creation,' a new feature for its trade platform that uses AI to automatically extract trade information from emails and attached documents, enabling one-click system registration.
📋 Article Processing Timeline
- 📰 Published: May 22, 2026 at 00:00
- 🔍 Collected: May 21, 2026 at 15:31
- 🤖 AI Analyzed: May 21, 2026 at 19:43 (4h 11m after Collected)
Shippio Inc. (Headquarters: Minato-ku, Tokyo; CEO: Takanori Sato), a company dedicated to promoting trade digital transformation (DX) under the vision of 'Advancing International Logistics,' has launched 'AI Shipment Creation,' a Microsoft Outlook and Gmail extension that integrates with the 'Shippio Platform.' This feature uses AI to automatically read trade information from email bodies and attached PDFs (such as ports of departure/arrival, estimated dates, and cargo details) and register it into the Shippio platform with a single click.
## Background and Challenges
In import/export operations, massive volumes of emails regarding cargo transport are received daily from overseas partners and international logistics providers (forwarders). Trade administrators have had to manually check each email and PDF, re-enter information into internal trade management systems, and organize documents. For companies handling many trade cases, this data entry process represents a significant operational burden, with frequent requests to eliminate the effort of re-entering the same information.
## Features of 'AI Shipment Creation'
### Automatic Extraction of Trade Data
The AI analyzes email content and automatically reads key fields necessary for trade operations, such as case reference numbers, ports of departure/arrival, estimated dates, Incoterms, transport modes (sea/air), and export/import classification. Administrators only need to verify the content, freeing them from manual data entry.
### Automatic Saving and Classification of Documents
PDFs attached to emails are automatically uploaded to the Shippio Platform, where AI categorizes them into trade document types like Invoice, Packing List, or Bill of Lading.
### Automated Case Reference Number Assignment
The system automatically sets case reference numbers using a priority hierarchy: Reference number in email -> BL number -> Booking number. If no matching information is found, it automatically generates a number, ensuring consistent registration without confusion regarding internal company rules.
### One-Click Case Registration
By simply clicking a button added to the email screen, case registration and document saving are completed, reducing a task that previously took several minutes to just a few seconds.
## Supported Services and Use Cases
- Supported Email Services: Microsoft Outlook / Gmail (Google Workspace)
- Intended Use Cases: Automatically registering trade cases from Booking Confirmations or Shipping Instructions, updating case info from forwarder notifications, and centralizing management for multiple partners.
## Future Outlook
Shippio will continue to develop and improve features based on user feedback. By continuously promoting the automation of trade operations using AI, Shippio aims to contribute to productivity improvements across the platform in which all stakeholders involved in trade operations participate.
## Background and Challenges
In import/export operations, massive volumes of emails regarding cargo transport are received daily from overseas partners and international logistics providers (forwarders). Trade administrators have had to manually check each email and PDF, re-enter information into internal trade management systems, and organize documents. For companies handling many trade cases, this data entry process represents a significant operational burden, with frequent requests to eliminate the effort of re-entering the same information.
## Features of 'AI Shipment Creation'
### Automatic Extraction of Trade Data
The AI analyzes email content and automatically reads key fields necessary for trade operations, such as case reference numbers, ports of departure/arrival, estimated dates, Incoterms, transport modes (sea/air), and export/import classification. Administrators only need to verify the content, freeing them from manual data entry.
### Automatic Saving and Classification of Documents
PDFs attached to emails are automatically uploaded to the Shippio Platform, where AI categorizes them into trade document types like Invoice, Packing List, or Bill of Lading.
### Automated Case Reference Number Assignment
The system automatically sets case reference numbers using a priority hierarchy: Reference number in email -> BL number -> Booking number. If no matching information is found, it automatically generates a number, ensuring consistent registration without confusion regarding internal company rules.
### One-Click Case Registration
By simply clicking a button added to the email screen, case registration and document saving are completed, reducing a task that previously took several minutes to just a few seconds.
## Supported Services and Use Cases
- Supported Email Services: Microsoft Outlook / Gmail (Google Workspace)
- Intended Use Cases: Automatically registering trade cases from Booking Confirmations or Shipping Instructions, updating case info from forwarder notifications, and centralizing management for multiple partners.
## Future Outlook
Shippio will continue to develop and improve features based on user feedback. By continuously promoting the automation of trade operations using AI, Shippio aims to contribute to productivity improvements across the platform in which all stakeholders involved in trade operations participate.
FAQ
Which email services are supported by the AI shipment creation tool?
It supports Microsoft Outlook and Gmail (Google Workspace).
What happens if a reference number is not found in the email?
If the information cannot be found, the system automatically assigns a number, allowing for seamless case registration.
How can we sign up for this feature?
Please contact Shippio directly if you are interested in implementing and using this feature.