Supplier Risk Assessment
Screen suppliers on track record, warranty terms, logistics and deposit exposure.
Model v1.0.0 · Data generated 2026-10-08 · 0 published reference values
Select a scenario to pre-fill realistic defaults for that facility type.
Anonymous, bucketed. We only store your decision profile (size, tier, scenario, result band) — never your inputs or identity.
Supplier Safety Score
70.0%
50% confidence · model v1.0.0
Risk band: medium (70/100)
Acceptable profile — tighten terms instead of walking away: stage payments against shipment milestones and confirm spare-parts availability in writing.
Deposit exposure: $36,000
At 30% prepayment your at-risk capital stays inside normal commercial norms; verify it is protected by invoice-level insurance where available.
Lead time ≈ 6 weeks from US
Plan floor closure and member communication around this window; add two weeks of buffer for peak-season port congestion.
Assumptions
- • Lead-time basis: Regional average for us
- • Scoring weights: Tenure 25 / warranty 30 / logistics 25, prepayment penalty up to 20
- • Region base as cap: The logistics base also acts as the regional ceiling — a China-based supplier caps at 71/100 before penalties and cannot reach the low-risk band.
Limitations
- • No financial statements — The score reads public signals only; audited financials change the picture materially.
- • Region averages — Lead times vary by port pair, season, and freight mode.
Data sources & method
This tool is a calculation model, not a database lookup. It runs arithmetic on the numbers you enter, using an explicit formula and a small set of documented default assumptions (service intervals, energy prices, useful life). Every assumption it applies is listed in the result, and each one is a default you can overwrite.
We do not hold a benchmark dataset. FitnessNav operates no gyms, runs no fleet, and has never collected equipment telemetry, so there is no measured useful-life, maintenance-rate or downtime distribution behind these models. The default assumptions come from published manufacturer documentation and standard trade practice, and they are labelled as assumptions \u2014 not as findings. Treat the output as a structured way to think about a decision, and replace every default with your own numbers before it leaves your desk. If a vendor hands you a benchmark, ask for the sample size and the age of the machines in it.
Supplier Risk Assessment — frequently asked questions
What makes a supplier low risk?
Long operating history (up to 25 points), strong warranty terms (30 points) and mature logistics lanes (25 points), minus deposit-exposure penalties based on your prepayment percentage.
Why does region cap the maximum score?
Logistics maturity doubles as a regional ceiling: China-based suppliers top out at 71/100 before penalties regardless of track record, reflecting lane-risk realities in deposit recovery.
How does deposit size affect the assessment?
Larger prepayment percentages subtract points — wiring 50% down carries materially more absolute dollars at risk than 20%, and the penalty scales accordingly.
Which orders should I screen?
Any order where the deposit is material to your balance sheet. Enter the order value and prepayment terms exactly as quoted to see true exposure.