Skip to content
ENTR: Türkçe sürümü yakında
Take the assessment
ENTR: Türkçe sürümü yakında
Trade Lab

AI for trading companies, built around your trade desk

Shipping files, supplier quotes, entry records and deal terms often contain enough history to test a useful first use case. We identify the two or three places AI may pay off, then build around the workflows your team already runs.

4 minutes · results on screen · no email needed

The challenges we see

Four patterns come up in almost every one of the trading company owners and operators we work with. If one sounds familiar, that is usually where to start.

Supplier search stops at the usual list

Symptom

New suppliers are searched across inboxes, spreadsheets and trade sources, so comparisons stop at the first few credible replies.

Border issues found after the file is ready

Symptom

Tariff codes, quantities and document fields are checked line by line, so an invoice or packing-list mismatch can surface late.

Market-entry cases built from fragments

Symptom

Demand signals, landed cost, local requirements and competitor prices sit in different sources, making a new-country recommendation slow to defend.

Deal economics reviewed after terms are set

Symptom

Payment terms, currency exposure, duties and working-capital timing are modelled late, when the commercial terms are harder to change.

Practical AI uses

Four uses we would consider first. Each one runs on data most teams already have.

Use case 01

Supplier shortlist and enquiry draft

What it does
Searches the sources you approve and your supplier history, ranks candidates against stated criteria and drafts an enquiry for a person to review and send.
Data it needs
Product specifications, supplier history and the criteria used by your team.
Time to first value
4–6 weeks

Use case 02

Pre-filing tariff and document check

What it does
Suggests a tariff-code shortlist and checks invoices, packing lists and certificates against the fields your team and broker expect. A broker or compliance lead confirms.
Data it needs
Past entries, commercial invoices, packing lists, certificates and your broker's code list.
Time to first value
6–10 weeks

Use case 03

Landed-cost and market-entry brief

What it does
Compiles demand signals, competitor price references, landed-cost assumptions and import requirements for one target market, with sources and open questions listed.
Data it needs
Your product list, target market, cost assumptions and approved source list.
Time to first value
3–5 weeks

Use case 04

Deal margin and cash-timing model

What it does
Models gross margin, payment timing, currency exposure and customer-credit inputs for a proposed deal so terms can be reviewed before signing.
Data it needs
Past deals, supplier and customer payment terms, cost inputs and customer credit information.
Time to first value
8–12 weeks

How we implement

Four steps, with a decision point after each. You can stop after any of them and keep what was built.

  1. 01 · 2–3 weeks

    Diagnose

    Review sourcing, customs, market-entry and deal workflows with the people who run them.

    You get: a ranked use-case list with baseline time, risk points and data gaps

  2. 02 · 6–10 weeks

    Pilot

    One trade lane, product group or document flow, measured against a baseline we agree before work starts.

    You get: a working pilot and a go / no-go report with results and limits

  3. 03 · 4–8 weeks

    Integrate

    Connect approved files, spreadsheets and systems, define review points, and train the trade desk and compliance staff.

    You get: a production setup with human review points and a runbook

  4. 04 · Ongoing

    Scale

    Extend to more lanes and product groups, with your team leading and us in support.

    You get: a rollout playbook, monitoring checklist and handover plan

Expected outcomes

These are estimates, not client results. We confirm or revise each one against your own baseline during the diagnosis.

Estimate 20–40%1 less time to shortlist supplier candidates
Estimate 15–30%2 fewer documents returned for correction
Estimate 2–4 h3 trade desk time saved per week
Estimate 9–18 mo4 estimated payback on a first use case
  1. Estimate for a typical first project. Assumes product specifications and selection criteria are structured, source records are accessible, and a person makes the final choice.
  2. Estimate for a typical first project. Assumes 12 months of reasonably consistent entries, corrections are logged with a reason, and a broker or compliance lead confirms filings.
  3. Estimate for a typical first project. Assumes baseline hours are logged for one lane or product group and volumes remain similar during measurement.
  4. Estimate for a typical first project. Assumes the agreed pilot and integration cost, recurring monthly savings, and excludes unpriced avoided delays or errors.

Questions trade desk and operations managers ask

Something else on your mind? Ask us directly.

Does this replace our customs broker?

No. The tool suggests tariff-code options and flags document mismatches. Your broker or compliance lead still confirms every filing.

How current is the market and regulation data?

Each brief lists its sources and retrieval dates, so your team can see what to re-check before relying on it for a deal or filing.

Who owns the models and the data?

You do. Models, code and data stay in your environment or your cloud account. We don't reuse your data to train anything for other clients.

How much of our team's time does a pilot take?

About three hours a week from a trade, operations or compliance lead, plus a short session at the start to select and prepare the files.

What if the pilot misses its target?

We agree the target and baseline before we start. If the pilot falls short, you get a written explanation of why, and you are not committed to the next phase.

Reviewed by Faruk Karagöl, CTO ·

Find out which use case fits your trade desk

18 questions, about 4 minutes. You see your score and top three gaps before we ask for anything.

Take the AI readiness assessment