S
FTA Rules of Origin Workbook
4.20
Derivation Chain
Step 1
Growth in Korea's import/export trade
→
Step 2
Policies to improve FTA utilization rates
→
Step 3
Automating FTA rules of origin documentation for SMEs
→
Step 4
Self-service origin documentation workbook
Problem
Small-to-mid exporters with $2.25M-$22.5M annual revenue (approximately 70% of all exporting companies) need certificates of origin to leverage FTA preferential tariffs, but the BOM (Bill of Materials)-based origin determination process is so complex that they either pay customs brokers $75-$225 per case or forgo the benefit and pay standard tariffs. The actual FTA utilization rate is around 70%, and non-utilizing companies pay an average of $3,750-$22,500 in unnecessary tariffs annually.
Solution
Upload a BOM Excel file and the system automatically determines origin criteria per HS code (tariff shift, value-added, process-based) and generates a draft certificate of origin with a supporting document checklist. Compares criteria differences across FTA agreements (Korea-EU, Korea-US, RCEP, etc.) and recommends the optimal agreement.
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 (58/100)
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]
AI/ML [medium]
Frontend [low]