A live model beats a spreadsheet matrix. Same likelihood × impact framework — but the numbers are computed from your routes, public trade data and disruption history, not typed into a grid.

This free supply-chain risk assessment tool runs entirely in your browser. Instead of filling in a risk-assessment template by hand, you build your supplier network once and Datastripes scores five exposure types — disruption, cost, tariff, concentration and compliance — against public data, and ranks the drivers you should act on first.
The question
A useful assessment answers four things, not one:
A static matrix records opinions. Datastripes computes these from the topology of the chain you build and the public data behind each factor.
What it scores
Simulated disruptions across the network return a probability-weighted risk score with the top drivers ranked.
Cost and lead time routed through every path, so a shock propagates to a real number.
Applied MFN and bilateral duty on each segment, from World Bank WITS data.
Herfindahl index, country share and single-source count across the base.
A first-pass screen against the US BIS Entity List and UFLPA forced-labour lists.
Step by step
Enter suppliers, sites and lanes, or import a CSV. Everything stays on your device.
Datastripes routes the model, runs the Monte-Carlo simulation and scores each exposure type.
Work the ranked list — add a backup source, re-route, buffer stock — then re-run to confirm the score fell.
Compare
| Risk-assessment template | Datastripes | |
|---|---|---|
| Inputs | Typed-in opinions | Your routes, costs and public trade data |
| Likelihood | A guess on a 1–5 scale | Monte-Carlo simulation over the network |
| Impact | A guess on a 1–5 scale | Cost and lead-time delta, routed |
| Update | Re-typed each quarter | Re-run in seconds after any change |
| Cost | Free | Free, no signup |
Data and privacy
Your supplier list, bills of materials and costs are stored locally in your browser. No account. No upload. Read how that works.
Methods: Monte-Carlo disruption modelling · Leontief input-output cost-push · damped-trend forecasting · safety-stock optimisation. See Methodology & data sources.
Questions
Related
Find the single points of failure and country concentration in your supply base.
Run 100+ disruption scenarios and see cost and lead-time impact before an S&OP review.
How the Monte-Carlo model, input-output cost-push and data sources work.
Next step
Your data stays in your device! No account, no upload, no sales call.
Analyse your business chain — it's free!