AI supplier-risk engine · multi-tier & geographic intelligence

Know which supplier breaks your line before it does.

Enter your key suppliers and materials. ChainGuard scores each one on financial stability, geographic concentration, and single-source exposure — then simulates the disruption, maps your Tier 1/2/3 risk, and surfaces qualified alternatives in seconds.

Launch the risk monitor → See how it works

40%

Less disruption impact

25%

Lower safety stock

60%

Faster alt sourcing

+27%

Forecast accuracy

Live demo · role-based

Sign in and run it from any seat

The risk monitor lives inside a role-based supply-chain workspace. Pick a demo role — Procurement Manager, Supply Chain Analyst, Plant Manager, or Admin — and see the dashboard and tools tuned to that seat. No setup, no signup.

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Procurement Manager

Sourcing decisions & alternatives

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Supply Chain Analyst

Full risk modeling & multi-tier

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Plant Manager

Production & disruption impact

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Administrator

Portfolio, users & full overview

Open the demo workspace →

Supplier risk scorer

Score this supplier

Pick a supplier and material on the left. The engine scores financial stability, geographic concentration, single-source exposure, lead-time variability, and quality against industry benchmarks — then simulates the disruption and finds alternatives.

Set your supplier and material, then score the risk.

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Supplier & material

Define the sourcing exposure

Key supplier

Material category

Sourcing strategy

Annual spend exposure $ / yr

$14.0M

Component criticality

Risk priority

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Your supplier risk profile will appear here

Set your supplier and material, then hit Score supplier risk.

⚠ Overall risk

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💰 Financial stability

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🌍 Geographic risk

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⚡ Single-source

—

⏱ Lead-time CoV

—

✓ On-time delivery

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📐 Supplier risk radar

Six risk dimensions scored 0–100 against industry benchmarks. A larger shaded area means more exposure — the dominant axis drives the recommended action.

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🌎 Geographic risk heatmap

Where your spend sits and how concentrated it is. Markers are sized by exposure and colored by geopolitical + logistics risk; dashed lines trace the lower-risk alternative regions.

Low risk

Moderate

Elevated

Your supplier

Alternative region

📉 Lead-time variability analyzer

Actual lead time over the last 26 weeks against the quoted lead time. The shaded band is the safety-stock buffer the engine recommends to absorb this supplier’s variability.

Recommended safety stock: — · vs. flat policy: —

💥 Disruption impact simulator

If this supplier fails today, here is what stops and when. Revenue-at-risk assumes on-hand buffer depletes, then the line idles until a qualified alternative ramps.

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Revenue at risk

—

Products affected

—

Recovery time

🔗 Alternative supplier suggestions

Qualified alternatives matched on material, capability, and capacity — ranked by a blended capability-match and risk-reduction score. Dual-sourcing across these cuts single-source exposure.

📋 Supplier scorecard — performance comparison

This supplier against the category benchmark and your best qualified alternative, across the four scorecard dimensions. Higher is better on every axis (quality is shown as a 0–100 PPM-derived score).

🌐 Multi-tier visibility tracker

Risk doesn’t stop at Tier 1. The engine traces sub-suppliers and raw-material origins — and shows how fast visibility decays as you go deeper, which is where hidden single-source risk hides.

◎ Portfolio risk distribution

Where this supplier sits in your broader supplier portfolio. The doughnut shows how your suppliers spread across risk tiers — this one is highlighted in the count below.

Benchmarks are representative industry figures (financial ratings, regional risk indices, OTD/PPM norms). Validate against your own supplier master and qualification records before acting.

Capabilities

More than a supplier scorecard

A risk engine that thinks like your best supply-chain analyst — and never loses sight of a Tier-3 dependency.

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AI supplier risk scorer

Every supplier scored on financial stability, geographic concentration, and single-source exposure against industry benchmarks — in seconds, not audit cycles.

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Disruption impact simulator

See exactly which products stop and how much revenue is at risk if a supplier fails — cutting disruption impact by up to 40%.

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Lead-time variability analyzer

Turn noisy delivery history into a coefficient of variation and a right-sized safety-stock target — trimming inventory by up to 25%.

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Alternative supplier engine

Capability- and capacity-matched alternatives in lower-risk regions, ranked instantly — 60% faster qualified-alternative identification.

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Geographic risk heatmap

Visualize where your spend concentrates and which regions carry geopolitical and logistics risk — the case for nearshoring, made visible.

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Multi-tier visibility

Trace Tier 1/2/3 dependencies and surface the hidden single-source risk buried two tiers down in your bill of materials.

Under the hood

From supplier to resilience plan

Real supply-chain risk methodology, wrapped in a one-click workflow.

01 / INPUT

Describe the supplier

Supplier, material category, sourcing strategy, spend exposure, and criticality — the same fields your supplier master already holds.

02 / SCORE

Benchmark the risk

Financial ratings, regional risk indices, single-source severity, lead-time variability, and quality history resolve into a multi-axis score.

03 / SIMULATE

Model the disruption

The engine depletes your buffer, idles the affected lines, and prices the revenue at risk against a realistic alternative-supplier ramp.

04 / ACT

Get the plan

A clear action — dual-source, nearshore, or buffer up — with ranked alternatives and a right-sized safety-stock target.

Stop discovering supplier risk during the disruption.

Apprend Technologies brings AI-driven supply-chain risk intelligence to manufacturers across every vertical. Score every supplier, simulate every failure, and source the alternative before you need it.

Launch the demo → Request a callback