K-Beauty Export Certification Navigator

2.95

Derivation Chain

Step 1 Launch of one-stop service for K-beauty influencer seeding in the US

→

Step 2 Entry barriers of overseas export certifications and regulations for K-beauty small business owners

→

Step 3 The problem of 50s beauty small business owners missing overseas sales opportunities due to lack of knowledge about FDA/EU certification procedures

→

Step 4 The problem of not being able to manage labeling, ingredient disclosure, and claim regulations by country after obtaining certification

Problem

50s K-beauty small business owners (manufacturing and selling their own brand cosmetics) attempting to export face completely different certification procedures per country: US FDA registration, EU CPNP notification, Japan Ministry of Health regulations, etc. Regulations are only provided in English or local languages, and certification agency fees are 3-5 million KRW (approx. $2,250-$3,750) per case, which is burdensome for small businesses. Even after certification, labeling rules, banned ingredients, and marketing claim restrictions vary by country, risking customs rejection and fines.

Solution

On the web, users select the product category (skincare/makeup/hair, etc.) and target export country, and the service shows the certification process as a step-by-step checklist. When users input the product ingredient list, the service automatically checks for banned or regulated ingredients in that country and generates a label template (required fields, language, font size regulations). It distinguishes between what can be done self-service and what requires professional assistance.

Target: 45-58 years old, small business owners manufacturing and selling their own brand cosmetics, with annual sales of 100 million to 1 billion KRW (approx. $75,000 to $750,000), in the early stages of export.

Revenue Model: Basic certification checklist and one-time ingredient check are free. Detailed country-specific guide + label template generation: 10,000 KRW (approx. $7.50) per transaction. Matching fees from certification agencies.

Ecosystem Role: Education

MVP Estimate: 1_month

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

2.0/5

V Validation

3.0/5

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.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (52%)

Tech Complexity

19.3/40

Data Availability

20.8/25

MVP Timeline

12.0/20

API Bonus

0.0/15

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)

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	/ 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

Frontend [medium] Backend [medium] Data Pipeline [high]

Dashboard