B

Supply Chain Alert for Security Crises

2.85

Derivation Chain

Step 1 Escalation of military tensions in the Middle East (Iran-US aircraft carrier clash)
→
Step 2 Demand for supply chain impact analysis based on geopolitical risk
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Step 3 Automatic alerts for geopolitical risk supply chain impact for small and medium-sized export companies

Problem

Purchasing and logistics managers at small and medium-sized export companies with annual revenue of 1-10 billion KRW (approx. $750,000-$7.5 million) take an average of 1-2 days to assess the impact on their supply chain when geopolitical events such as Middle East conflicts, navigation restrictions, or sanction changes occur. They see news about oil price and freight rate surges during Hormuz Strait tensions, but cannot immediately determine 'how many days of delay are expected for our raw material deliveries' or 'what is the freight rate difference for alternative routes,' leading to delayed proactive responses.

Solution

A SaaS that automatically calculates the impact by matching geopolitical events with a company's import items, routes, and partner profiles, and sends Slack/KakaoTalk alerts. (1) Automatic detection of geopolitical events (crawling news, social media, and shipping tracking data), (2) impact scoring based on company profile (import items, major routes, partner countries), (3) automatic generation of alternative route and freight rate fluctuation prediction reports.

Target: Purchasing and logistics managers at small and medium-sized import/export companies with annual revenue of 1-10 billion KRW (approx. $750,000-$7.5 million), and SME representatives.
Revenue Model: SaaS monthly subscription: 50,000 KRW (approx. $37.50) per company account (up to 10 items); Premium: 120,000 KRW (approx. $90) per month (unlimited items + alternative route comparison report). 20% discount for annual payment.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

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

Feasibility (66%)

Tech Complexity
29.3/40
Data Availability
17.1/25
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 (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
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

Backend [medium] Data Pipeline [medium] AI/ML [low]
Dashboard