B

Budget Mall Price Comparison Radar

3.50

Derivation Chain

Step 1 Intensifying competition from Daiso/value-for-money channels
→
Step 2 Price comparison tool among value-for-money channels
→
Step 3 Competitive price monitoring service for small business owners

Problem

Small business owners in household goods and general merchandise with annual sales of 100 million to 1 billion KRW (approx. $75,000 to $750,000) must manually check prices across dozens of competitive channels daily to respond to rapid price cuts from value-for-money channels like Daiso, Cheonwon Mall, and AliExpress. This takes an average of 5-8 hours per week, and missing price changes frequently causes margins to drop by 10-15%.

Solution

It automatically crawls price changes by category from major value-for-money channels such as Daiso, Cheonwon Mall, Coupang, and Ali, providing daily reports and automatically calculating a price competitiveness index for your products. When competitor prices drop below a certain threshold, it sends immediate alerts to help you adjust prices proactively.

Target: Retailers of household goods and general merchandise with annual sales of 100 million to 1 billion KRW (approx. $75,000-$750,000), online sellers (ages 30-50).
Revenue Model: SaaS monthly subscription at 49,000 KRW (approx. $36.75) per account (50 monitoring categories), Premium at 99,000 KRW (approx. $74.25) per month (unlimited categories + API integration), 20% discount for annual payment.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
4.0/5
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 (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 (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 [low] Data Pipeline [medium]
Dashboard