B
Youth Culture Pass Settlement Bot
3.35
Derivation Chain
Step 1
Youth Culture & Arts Pass expansion
→
Step 2
Culture pass merchant settlement management
→
Step 3
Merchant settlement automation and revenue analytics
Problem
Small-scale venues (bookstores, indie theaters, galleries) with annual revenue of $75,000-225,000 (~1-3억원) that participate in municipal Youth Culture & Arts Pass programs (e.g., Jeonju's ₩200,000/~$150 pass) must manually compile monthly settlement records and submit them in each municipality's different required format. Each merchant spends an average of 4-6 hours per month on settlement paperwork, and errors cause an average 2-week settlement delay that worsens cash flow.
Solution
Integrates with POS/card sales data to automatically separate and aggregate Youth Pass transactions, then generates auto-formatted settlement reports matching each municipality's requirements. Provides pre-submission error detection alerts and a monthly Pass revenue trend dashboard, reducing merchant administrative burden by 90%.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (64%)
Data Availability
15.0/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (54/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
Frontend [low]
Data pipeline [medium]