B

Value-for-Money Channel PB Trend Report

2.55

Derivation Chain

Step 1 Intensifying Daiso/value-for-money competition
→
Step 2 Surge in PB products from value-for-money channels
→
Step 3 PB product trend analysis
→
Step 4 Competitor PB trend intelligence for PB product planners

Problem

PB (private brand) product planners at convenience stores, supermarkets, and online malls (belonging to retailers with 30-200 employees) manually monitor new PB products from value-for-money channels like Daiso and Cheonwon Mall every week. This takes 3-4 hours per channel per week, totaling 50-60 hours per month, and they fail to systematically analyze competitor PB price ranges, categories, and packaging trends, leading to missed planning directions 2-3 times per quarter.

Solution

Automatically crawl newly launched products from Daiso, Cheonwon Mall, Coupang PB, and convenience store PB, and generate a weekly trend report. Visually summarize price range distribution by category, packaging trends, and popular materials and colors, and automatically provide a gap analysis of 'categories/price ranges missing from our PB.'

Target: PB product planners and MDs at convenience stores, supermarkets, and online malls (retailers with 30-200 employees)
Revenue Model: SaaS monthly subscription: 199,000 KRW/month (approx. $149) (weekly report + 5 channels), Premium: 399,000 KRW/month (approx. $299) (unlimited channels + gap analysis + custom alerts).
Ecosystem Role: Supplier
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
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 (60%)

Tech Complexity
24.7/40
Data Availability
23.1/25
MVP Timeline
12.0/20
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 (54/100)

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
5.0/10
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

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