B

Aviation Fuel Price Profitability Simulator

3.15

Derivation Chain

Step 1 Iran risk and oil price surge
→
Step 2 Cost structure changes in aviation and travel industry
→
Step 3 Real-time recalculation of package product profitability for small travel agencies

Problem

Small travel agencies with 1-10 employees see the profitability of already-sold package products deteriorate sharply when fuel surcharges rise due to oil price spikes. Manually tracking fuel surcharge changes and recalculating margins for existing bookings takes over 6 hours per week per staff member, and calculation errors frequently cause losses of 100,000-300,000 KRW (approx. $75-$225) per transaction.

Solution

Automatically tracks fuel surcharge changes by airline, recalculates costs for each package product registered by the travel agency in real time, and sends profitability alerts. Key features: (1) automatic tracking and alerts for fuel surcharge changes by airline, (2) real-time recalculation of costs and margins for each package product, (3) profitability forecast for the next 3 months under different oil price scenarios.

Target: Owners and product planning managers at small travel agencies with 1-10 employees.
Revenue Model: SaaS monthly subscription at 39,000 KRW (approx. $29.25) per month (up to 50 packages), additional packages at 500 KRW (approx. $0.38) per month each. 20% discount for annual payment.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
4.0/5
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 (76%)

Tech Complexity
34.7/40
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 (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
9.0/15
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

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