B

Traditional Culture Experience Booking Bot for Foreigners

3.30

Derivation Chain

Step 1 Confucian & traditional culture education cooperation MOU
→
Step 2 Growth in traditional cultural experience market for foreigners
→
Step 3 Integrated booking & review Platform for experience programs
→
Step 4 Booking & settlement SaaS for experience operators

Problem

Operators of traditional cultural experiences (hanbok fitting, tea ceremony, pottery, hanji paper craft) — typically 1–3 person sole proprietors — manage foreign tourist reservations across 3–4 scattered channels (phone, KakaoTalk, Instagram DM). This leads to missed bookings, double bookings, and no-shows (30–40%), resulting in a 15–20% monthly revenue loss. Multilingual guidance, payment processing (international cards), and refund policy communication take 20–30 minutes per inquiry.

Solution

Generate a multilingual (EN/CN/JP) booking page for traditional culture experience operators in under 5 minutes, with integrated international card payments (Stripe), automated booking confirmations and reminders (KakaoTalk/email), and no-show prevention (prepayment + 24-hour cancellation policy). Also includes monthly revenue settlement reports and review collection with auto-translation.

Target: Sole proprietors running traditional cultural experiences (hanbok, tea ceremony, pottery, calligraphy, etc.), 1–3 person operations, with 30%+ foreign customer share
Revenue Model: SaaS Monthly Subscription: ₩29,000/month (~$22) per venue (Basic Plan), Premium (international card payment integration + review translation) ₩49,000/month (~$37), payment processing fee 3.5%
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
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] AI/ML [low]
Dashboard