Read and cross-check import documents before filing
AI reads the invoice, packing list, and B/L and cross-checks goods, quantities, weights, and values. A customs specialist resolves mismatches before filing.
- Runs on your own PCs and servers
- Use Azure OpenAI, Amazon Bedrock, Google Vertex AI, or an in-house model
- Its engine is Descarty's open-source Dagu (GPL-3.0)
36 documents for 12 import shipments (invoices, packing lists, and B/Ls) cross-checked in 54 seconds, and the 3 shipments that disagree on gross weight, quantity, or packages shown with the documents' own words. After the specialist approved, the 3 queries went to the importers and the 9 matching shipments were marked ready to file. Kitewell built the workflow 19 minutes after the request.
A real run on October 29, 2026, sped up. The system it works with was built for the demo.
The problem today
For every import shipment, staff read the invoice, packing list, and B/L from the shipper and copy what is needed to prepare the customs filing. Quantities and weights often disagree between documents, and checking takes time.
The workflow in Kitewell
- Add the shipper's documents to a batch sheetAutomatic
- AI reads descriptions, quantities, weights, and values from the invoice, packing list, and B/LAI judgment
- Extract mismatches between documentsAutomatic
- The customs specialist confirms mismatches with the shipper and settles the detailsApproval
- Export the data used to prepare the filingAutomatic
What AI does
Reads the needed fields from documents in any layout, quoting where each value came from, and shows mismatches between documents with the reason.
Where people decide
The customs specialist checks mismatches and decides what is declared. Filing through NACCS stays with the specialist, as today.
Prove Kitewell on your own systems
Try it free for 14 days on your own PC. To see it working first, ask for a 30-minute demo. There is also a one-month onboarding (¥500,000 before tax), where we build your first job together.
What to check when you try this work
- Whether the needed fields are read correctly from your main shippers' document layouts
- Whether the mismatch criteria match your checking procedure
- How to pass the data to whatever you use to prepare filings
How the onboarding runs
- Week 1Requirements and success criteria
- Weeks 2 to 3Build
- Week 4Verify on production screens
- Final dayReport
One-month onboarding
- Length
- One month
- Cost
- ¥500,000 (tax excluded). Your staff build, with the developer beside them
- If you go on to a license
- The onboarding fee is credited to the first year's contract
- Without the onboarding
- At Team scale, start on Team monthly (¥14,800 per computer a month, tax excluded), and cancel in any month
You can try it first on your own PC, in the free 14-day trial.
Frequently asked questions
- Does it file through NACCS?
- No. Checking mismatches, deciding what is declared, and filing through NACCS stay with the customs specialist, as today. Kitewell reads and cross-checks the documents and outputs data to prepare the declaration.
- Do our documents and screens leave the company?
- Kitewell runs on your own PCs and servers, and Descarty never receives your business data. You choose the AI model: a cloud API, or an in-house or local model with an OpenAI-compatible API. With an in-house model, no data leaves the company. With a cloud model, what the AI reads is sent to the model's provider.
- What if the AI misreads something?
- A person checks what the AI produced before the work goes on. In a sheet, every value the AI reads shows the quote it came from, and rows below your confidence threshold go to a person. Reviewers can send work back with notes on what to fix, and who approved what is kept in the run history.
- What happens when a screen changes or a run stops?
- When a screen changes, the AI reads it again, relearns the step, and carries on. The relearned step is saved, and later runs repeat it. If a run still stops, ask the assistant right there, and it finds the cause and proposes a fix. A proposal is not saved until a person applies it.
- What happens to the RPA and systems we use today?
- Keep them. Kitewell operates screens the way a person does, so it works with systems that have no API. Move the robots that keep stopping and the work you gave up automating because it needs judgment, and leave fast, fixed processing in your current RPA.
- What does it cost?
- ¥14,800 per computer per month, or ¥148,000 per computer when paid yearly, before tax. A computer costs the same whether it builds or runs. You can try it free for 14 days. The one-month onboarding, where we build your first job together, is ¥500,000 before tax, credited to the first year if you go on.
Related use cases
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See this work in a demo
A 30-minute demo shows this workflow running. The 14-day free trial lets you check it on your own systems.