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AI for freight documentation and classification

The evaluation and cost layer, not another product comparison.

At a glance

Activity AI Solutions
Engagement Scoped mandate
Markets UAE · India · UK · US · Europe
Replies Two working days

What it is

“Extraction accuracy on a clean sample tells you almost nothing. The cost is in the worst tenth of the document flow.”

A principal, Kaelo AI Solutions

There is no shortage of software promising to read your bills of lading and classify your goods. There is very little neutral writing about how you would tell whether any of it is good enough to put into an operating process — what accuracy threshold makes automated classification usable, what a false classification actually costs, and where the human has to stay in the loop. That is the question a forwarder is trying to answer, and the vendors cannot answer it neutrally.

What’s included

Four areas of scope
01

Document extraction, evaluated properly

Bills of lading, commercial invoices, packing lists and certificates arrive as scans, photographs and inconsistent PDFs. Extraction accuracy on a clean sample tells you very little; what matters is accuracy on the worst tenth of your real document flow, which is where the exceptions and the cost live.

02

Classification and the threshold question

Automated HS classification is useful above a confidence threshold and dangerous below it. Setting that threshold is a commercial decision, not a technical one: it depends on what a misclassification costs you in duty, delay and penalty exposure, and that varies by trade.

03

Human-in-the-loop, designed rather than bolted on

The realistic target is not full automation. It is routing the confident cases straight through and putting the uncertain ones in front of a licensed person with the reasoning attached, so the review is quick.

04

What it actually costs at volume

Inference cost per document at production volume, not at demo volume, plus the review time the exceptions consume. Most business cases in this space are built on the happy path and quietly omit the exception queue.

How the work runs

STEP 01

Document sample

A real sample including the difficult tail, not a curated set.

STEP 02

Baseline measurement

Current handling time, error rate and rework cost.

STEP 03

Evaluation harness

Scored against your documents, with the threshold argued explicitly.

STEP 04

Pilot with the loop in place

Run alongside the existing process before replacing it.

When to come to us

  1. 01 You process enough documents that handling time is a real cost line.
  2. 02 You can supply a genuine sample, including the messy tail.
  3. 03 You have licensed staff who can sit in the review loop.

What we do not do

  • Providing customs classification as a service. We build and evaluate tooling; the classification decision stays with your licensed broker.
  • Quoting accuracy figures from a vendor's marketing material.
  • Promising a level of automation before we have seen your document tail.
The gap

The product layer is crowded. The evaluation layer is empty.

Search for AI in freight and you find vendor pages, marketplace listings and press releases. Neutral writing on how to evaluate any of it is owned by no agency and no consultancy.

Round 2 verification, July 2026

Common questions

What accuracy is good enough?
There is no universal number, and anyone offering one has not asked what a misclassification costs you. The right approach is to price the error, then set the confidence threshold so that the residual risk is one you would accept in writing.
Will this replace our brokers?
No, and we would be cautious about anyone selling that. It removes handling time from straightforward documents so that licensed people spend their attention on the exceptions.
Do you sell a product?
No. We build into your process and we evaluate. If an off-the-shelf product is the right answer we will say so — we have no licence revenue to protect.
Begin

Send a brief. A principal reads it.

Written, considered replies within two working days.