Trade Document Automation
Stop hand-filling customs paperwork for every shipment
Fluid AI fills in import and export documents from the order and shipment data you already have: consignee, HS code, invoice number, gross weight and the rest.
ISO 27001 certified · Backed by Insignia Ventures & Grab Ventures · Trusted across Singapore and Malaysia
Why trade paperwork takes so long
- Teams still hand-fill customs paperwork for every shipment.
- The same details are re-typed from orders, invoices and packing records.
- The work is repetitive and hard to scale, and stops when the person who does it is away.
How Trade Document Automation works
Read order and shipment data
Fluid AI pulls the details from your ERP orders, invoices and shipment records.
Fill the documents
Fields such as consignee, HS code, invoice number and gross weight are filled in automatically.
Review and send
Your team checks the completed document instead of building it from scratch.
What you get
Auto-filled declarations
Export declarations filled from data you already hold.
Fewer re-keying errors
Details come from the source records, not retyped by hand.
Connected to your ERP
Orders and invoices flow straight into the paperwork.
Built around your process
Our team maps how your documents actually move before building.
Questions
Which documents can Fluid AI fill?
Import and export paperwork such as export declarations. During implementation our team maps the documents your shipments need.
Where does the data come from?
From the order and shipment data in your ERP and related records, so details are not re-typed by hand.
Does Fluid AI replace our ERP or accounting system?
No. Fluid AI works on top of the ERP and accounting systems you already run. It syncs invoices, payments and customer data with them, so your team keeps one source of truth.
How long does implementation take?
Most teams start with one focused workflow. Timelines depend on your ERP setup and scope, but many customers begin seeing value within weeks, not months.
Related
Ready to run finance on an AI team member?
One module or the whole stack. No rip-and-replace.