B

AI Assistant Service Cost Comparison Table

3.90

Derivation Chain

Step 1 Proliferation of AI assistant shopping services
→
Step 2 Opaque billing structures for middle-aged users adopting AI assistants
→
Step 3 Actual cost comparison of AI assistant subscriptions and commissions + savings simulator

Problem

When people in their 50s and 60s start shopping with AI assistants (Clova, Kakao, etc.) instead of Naver or Coupang, they find it hard to understand the monthly subscription fees, per-transaction commissions, and the margin structure of recommended products. Many AI assistant services tout 'free', but in reality, 10-15% commissions are embedded in recommended products, leading to an extra 30,000-50,000 KRW (~$22.50-$37.50) in monthly spending without their knowledge.

Solution

The service compares the billing structures of major AI assistant services (Clova, Kakao, Coupang, etc.) in a table. Users input their monthly shopping items and amounts, and the service calculates the actual cost for each service (subscription + commission + price difference) to show which route is cheapest.

Target: People aged 50-60 who shop online at least once a week and have recently started using or are considering AI assistant services.
Revenue Model: Free comparison service. CPA commission via affiliate shopping links, monthly 'Smart Shopping Report' subscription at 2,900 KRW (~$2.18).
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
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 (77%)

Tech Complexity
34.7/40
Data Availability
22.5/25
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 (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
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

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