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.
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
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.
Symptom
New suppliers are searched across inboxes, spreadsheets and trade sources, so comparisons stop at the first few credible replies.
Symptom
Tariff codes, quantities and document fields are checked line by line, so an invoice or packing-list mismatch can surface late.
Symptom
Demand signals, landed cost, local requirements and competitor prices sit in different sources, making a new-country recommendation slow to defend.
Symptom
Payment terms, currency exposure, duties and working-capital timing are modelled late, when the commercial terms are harder to change.
Four uses we would consider first. Each one runs on data most teams already have.
Use case 01
Use case 02
Use case 03
Use case 04
Four steps, with a decision point after each. You can stop after any of them and keep what was built.
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
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
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
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
These are estimates, not client results. We confirm or revise each one against your own baseline during the diagnosis.
Something else on your mind? Ask us directly.
No. The tool suggests tariff-code options and flags document mismatches. Your broker or compliance lead still confirms every filing.
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.
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.
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.
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 ·
18 questions, about 4 minutes. You see your score and top three gaps before we ask for anything.
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