A

Export/Import HS Code Auto-Classifier

4.05

Derivation Chain

Step 1 Growth in Korean export/import trade activity
Step 2 Trade specialist customs workflow automation
Step 3 Automated HS code classification and tariff rate lookup tools

Problem

Trade specialists at SME export/import companies (annual revenue $3.75M–$37.5M) who handle customs without a licensed broker spend an average of 30–60 minutes per item classifying HS codes using the complex Korea Customs Service lookup system. Incorrect HS code classification results in penalties (2–5% of item value) and customs clearance delays (3–7 business days), with an average of 2–3 classification errors per year.

Solution

Users input product descriptions (Korean/English) and photos, and AI suggests 3–5 candidate HS codes with FTA tariff rates, requirement verification status, and similar rulings for each code. Includes auto-generation of Korea Customs Service advance classification ruling application drafts.

Target: Trade specialists at SME export/import companies with $3.75M–$37.5M annual revenue, customs broker offices
Revenue Model: Per Transaction Billing — Free (5 items/month) / $2.25 per item or Monthly Subscription $37/month (50 items/month), advance ruling application generation $3.75 additional Per Transaction
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
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.
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.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
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.

Technical Requirements

AI/ML [medium] Backend [medium] Frontend [low]
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