B

Industrial Park Permit Tracker for Robotics

3.20

Derivation Chain

Step 1 Hyundai Motor Group's 9 trillion KRW Saemangeum robotics/AI/hydrogen investment
→
Step 2 Robotics industrial park development boom
→
Step 3 Permit tracking tool for SMEs seeking industrial park occupancy

Problem

Following Hyundai Motor Group's 9 trillion KRW (~$6.75B) investment announcement in Saemangeum, small and mid-sized manufacturers seeking to move into robotics and hydrogen industrial parks are surging, but the permits required for industrial park occupancy (factory registration, environmental impact assessment, fire & building permits, etc.) are spread across multiple agencies, averaging 4–6 months and 5–10 million KRW (~$3,750–$7,500) in administrative agent fees. Specialized industrial parks (robotics, hydrogen) have different requirements from general parks, rendering prior experience irrelevant.

Solution

Automatically generates permit checklists by industrial park type (robotics-specialized, hydrogen-specialized, general), and visualizes each permit stage's progress, estimated days, and responsible department contacts on a timeline. Local government ordinance differences are databased to provide customized guides for the intended location, with deadline alerts sent when due dates approach.

Target: CEOs and operations support teams at SME manufacturers (10–50 employees) in robotics parts and hydrogen equipment
Revenue Model: SaaS monthly subscription at 59,000 KRW (~$44)/project, 20% discount for annual billing. Additional 50,000 KRW (~$37.50) per referral fee for administrative agent connections.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
3.0/5
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 (68%)

Tech Complexity
29.3/40
Data Availability
18.8/25
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 (66/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
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

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