B
Forced Labor Supply Chain Audit Tool
3.70
Derivation Chain
Step 1
Global forced labor litigation expansion (Dyson case)
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Step 2
Export company ESG supply chain due diligence
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Step 3
Self-service supply chain human rights audit for mid-sized exporters
Problem
With the EU Forced Labor Regulation (effective 2027) and the US UFLPA, Korean export manufacturers face growing obligations to prove their supply chains are free of forced labor risks. Conducting due diligence on Tier 1–2 suppliers through external consulting costs $22,500–$37,500 per engagement, and mid-sized exporters with $7.5M–$37.5M annual revenue lack the budget, leaving them exposed to regulatory violation risks.
Solution
Upload a supplier list and the system automatically generates risk scores by matching against high-risk regions (Uyghur region, Myanmar, etc.) and industries. Self-assessment questionnaires are auto-dispatched to and collected from each supplier. Provides EU and US regulation-specific compliance checklists and an evidence repository.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (70%)
Data Availability
20.8/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (65/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
Data Pipeline [medium]
Frontend [low]