S

Export Regulation Monitor

4.20

Derivation Chain

Step 1 Iran Military Tensions / Strengthened International Sanctions
→
Step 2 Export/Import Regulation Compliance
→
Step 3 Real-time Export Regulation Change Alert Service for SME Exporters

Problem

Small-to-mid export companies with annual exports of $7.5M-$75M (10-100억 KRW) struggle to independently track changes in US/EU sanctions against Iran, strategic materials export controls, and related regulations. Consulting a customs broker costs $375-$750 (50-100만 KRW) per case, and late detection of regulatory changes can result in customs rejection after shipment, causing losses of $3,750-$15,000 (500만-2,000만 KRW) per incident in logistics costs and penalties.

Solution

A service that monitors export regulation changes from the US BIS (Bureau of Industry and Security), EU Official Journal, and Korea's Strategic Trade Control Center (KOSTI) in real time, filtering and alerting only the changes that affect the customer's specific trade items/countries. (1) Real-time regulation change crawling + AI summarization, (2) Automatic impact assessment based on customer's HS codes/trading countries, (3) KakaoTalk/email alerts + response guidance.

Target: Trade team/compliance officers at SMEs with annual exports of $7.5M-$75M (10-100억 KRW); customs brokerage firm practitioners
Revenue Model: SaaS Monthly Subscription $149/month per account (up to 50 items), Enterprise $374/month (unlimited). Target: $1.4M ARR (1.9억 KRW) at 80 companies.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] Backend [medium] Frontend [low]
Dashboard