A

QR-Based Fire Safety Inspection Evidence SaaS

4.70

Signal Sources (v8 Triple Source)

Trigger

공장

Market

inferred: EHS 모바일 점검·감사 증빙 소프트웨어 카테고리

Workflow

inferred: 중소 원료공장 안전관리자 — 설비를 순회 점검하고 사진과 시정조치 내역을 주간 단위로 취합

Problem

Safety managers at chemical and paint-material plants perform recurring inspections of fire doors, exhaust vents, and grounding equipment, but the results are scattered across paper records and photos shared through messaging apps. After an incident or during a regulatory inspection, it is difficult to prove when a specific asset was inspected and what condition it was in.

Solution

Workers scan an asset-specific QR code to record checklists, photos, and remediation deadlines. The service automatically tracks incomplete actions and recurring defects. As inspection histories accumulate, each plant builds data on vulnerable equipment and failure cycles.

Target: 직원 20~200명 규모의 화학·도료·고무 원료공장 — 안전관리자와 공장장
Revenue Model: KRW 90,000 per site per month, plus KRW 50,000 per month when more than 200 QR-registered assets are managed
Ecosystem Role: -
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
5.0/5
R Realizability
5.0/5
V Validation
5.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (81%)

Tech Complexity
40.0/40
Data Availability
21.2/25
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 (76/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
8.0/10
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.
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