A

Trade News Risk Alert Bot

3.85

Derivation Chain

Step 1 Increasing volatility in Korea's import/export trade environment
→
Step 2 Risk monitoring for import/export companies
→
Step 3 Automated supply chain risk alerts based on trade news

Problem

Trade team leaders (2-5 person teams) at SME import/export companies with annual revenue of $7.5M-$75M must monitor 10+ trade news sources daily including KITA, Korea Customs Service, and Ministry of Trade. Out of 200-300 daily news items, they miss 2-3 company-relevant risks per month (tariff rate changes, export regulations, FTA shifts, sudden exchange rate fluctuations). Each missed risk results in an average of $3,750-$15,000 in additional costs.

Solution

Real-time crawling of major trade news sources including KITA, Korea Customs Service, Ministry of Trade, and Ministry of Foreign Affairs. Automatically filters company-relevant risks based on user-registered HS codes, countries, and keywords, then sends instant alerts via Slack or KakaoTalk. AI summarizes each news item's impact (tariff rate change magnitude, effective date, affected product categories).

Target: Trade team leaders at SME import/export companies with $7.5M-$75M annual revenue, solo trade agents
Revenue Model: SaaS Monthly Subscription — $29/mo (20 keywords, 5 countries) / Premium $59/mo (unlimited + AI impact analysis + weekly Report)
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
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
10.5/15
Solo Buildability
7.0/10
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] AI/ML [medium] Backend [low]
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