S

Restaurant Price Increase Alert

4.35

Derivation Chain

Step 1 Food service price inflation
→
Step 2 Franchise price change tracking
→
Step 3 Decision-making tool for small business owners' menu price adjustments

Problem

Independent food service small business owners with annual revenue of 100-500 million KRW (approx. $75,000-$375,000) find it difficult to decide when and how much to raise their menu prices when large franchises like Mom's Touch and Burger King increase prices. Manually tracking competitor franchise price changes takes an average of 3-5 hours per month, and missing the timing leads to monthly profit losses of 500,000-1,000,000 KRW (approx. $375-$750) due to worsening cost ratios.

Solution

A SaaS that automatically crawls major franchise menu price changes and provides real-time alerts, simulating optimal increase amounts and timing based on your store's cost ratio. It also provides a price positioning map within the competitive store radius and a customer churn prediction model.

Target: Independent food service small business owners with annual revenue of 100-500 million KRW (approx. $75,000-$375,000), in chicken, burger, and snack bar sectors, self-employed individuals in their 30s-50s.
Revenue Model: SaaS monthly subscription: 29,000 KRW/month per store (approx. $21.75), package for 3+ stores at 69,000 KRW/month (approx. $51.75), 20% discount for annual payment.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
4.0/5
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 (78%)

Tech Complexity
34.7/40
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 (73/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
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

Backend [medium] Frontend [low] AI/ML [low]
Dashboard