A

Seasonal Menu Auto-Planner

3.40

Derivation Chain

Step 1 Seasonal vegetable boom / spring greens bibimbap trend
→
Step 2 Recipe curation based on seasonal ingredients
→
Step 3 Automated meal planning SaaS powered by ingredient supply & price data

Problem

Small restaurants and catering businesses (revenue $75K–$375K) must manually rebuild their menus every time seasonal ingredients change. Checking ingredient prices, balancing nutrition, and recalculating costs separately takes an average of 8–12 hours per menu rotation. When seasonal trends like 'spring greens bibimbap' explode on social media, failing to update menus quickly means missed revenue opportunities.

Solution

Combines agricultural distribution price data (KAMIS) with weather bureau API data to automatically recommend the most cost-effective seasonal ingredients at any given time, then auto-generates meal plans, recipes, and cost sheets using those ingredients. An SNS trend alert feature for trending ingredients helps operators time their menu updates.

Target: Small restaurant operators with $75K–$375K in revenue, and nutritionists managing institutional meal services for 50–200 people
Revenue Model: SaaS Monthly Subscription $22/location, 20% discount for annual billing. Premium (trend alerts + auto-ordering integration) $37/month
Ecosystem Role: Supplier
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
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (67%)

Tech Complexity
29.3/40
Data Availability
17.9/25
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 [medium] Data Pipeline [low]
Dashboard