B

Daiso Entry Trade Area Analysis Coach

3.20

Derivation Chain

Step 1 Intensifying Daiso/price-performance competition
→
Step 2 Sales impact on small business owners near Daiso

Problem

As ultra-low-cost stores like Daiso and Cheonwon Mall (1,000-won stores) rapidly expand, small business owners in stationery, household goods, and beauty retail have a rule of thumb that sales drop 20-40% when a Daiso opens nearby. However, it is difficult to obtain advance information on new Daiso store openings, and data-driven decisions on how to differentiate product assortments are impossible.

Solution

Automatically crawl information on new Daiso and Cheonwon Mall store openings, and send an early warning when a store is scheduled to open within a 1km radius of your store. Analyze the Daiso's main categories, recommend non-overlapping differentiated product categories, and visually show 'opportunity areas where you can survive' based on foot traffic and competitor store density in the surrounding trade area.

Target: Small business owners in stationery, household goods, and beauty retail near Daiso (ages 30-50, annual sales 50M-300M KRW / approx. $37,500-$225,000)
Revenue Model: SaaS monthly subscription: 29,000 KRW/month (approx. $22) (basic alerts + trade area analysis), Premium: 59,000 KRW/month (approx. $44) (competitor analysis + differentiation recommendations + weekly report)
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (73%)

Tech Complexity
32.0/40
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 (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 [low]
Dashboard