Commercial Invoices for Customs
Capture important data from your commercial invoices, including line item details, without painstaking manual work, so your team can scale profitably, whatever your documentation volumes are.
Adrian Green
Business Improvement
“A fully automated process”
“Data capture was once a time consuming and expensive task managed by multiple operators, but with Shipamax, it has evolved into a fully automated process, allowing operators to spend less time on data extraction and more time focused on valuable customer-facing tasks.”
Processing Technology
Straight through processing
Reduce the risk of errors, save your team from manual work, and handle huge volumes of documentation with ease. Shipamax automatically categorises commercial invoices directly from your inbox, validating key information including product descriptions, quantities, weight and values before posting directly into CargoWiseOne for customs declaration creation.
Data Extraction
Line item level extraction
With Shipamax, you'll never have to create another template to extract line item data. Shipamax's proprietary Contextual Understanding Layer understands the context of your commercial invoice documents out-of-the-box - no matter the format or language.
Product Codes
Smart product code matching
Shipamax's smart product matching will maximise matches between invoice lines and products in your curated database. Your records for this product will be imported into the line, saving manual work when cross-checking incorrect and missing codes with your database.
Other Features
All emails auto-forwarded to a dedicated Shipamax mailbox, with the option to create seperate mailboxes for different offices.
Out of the box integration with CargoWiseOne.
Upload a copy of the document directly into the eDocs function.
Process files containing multiple documents of the same or different types.
Set team and user level permission for exception management.
View documents by a selected status and search documents by key identifiers.
Leave comments on documents for team members.
View what data has been extracted and then change or add new information if necessary.
View the root causes for exceptions, which are automatically flagged by the system.
