B

Concert Seating Revenue Forecaster

3.00

Derivation Chain

Step 1 Miss Trot Season 4 and trot audition show popularity
→
Step 2 Rapid growth in trot concert production market
→
Step 3 Seat layout and revenue optimization for concert producers

Problem

The trot (Korean traditional pop) concert market is booming thanks to the Miss Trot series, yet small production companies (3–10 employees) set seat tier layouts and ticket prices based on gut feel. Poor seat tier allocation leads to VIP vacancy rates of 20–30% or excess demand for general seats (missed upsell opportunities), costing $3,750–$15,000 USD in lost revenue per show.

Solution

(1) Upload a venue floor plan to automatically score sightline quality per seat; (2) reference past sales data from similar performances (via public data from Interpark/Yes24) to recommend optimal price ranges and seat tier ratios; and (3) simulate projected revenue across scenarios (discount promotions, fan club pre-sales, etc.).

Target: Owners and planning managers at small production companies (3–10 employees) organizing trot and K-pop concerts
Revenue Model: Per-show fee of $217 USD (seat optimization + revenue simulation). Monthly subscription at $442 USD for 3+ shows per month.
Ecosystem Role: Supplier
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
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
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

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