A

Stadium-Area Small Business Sales Forecaster

4.20

Derivation Chain

Step 1 Pro baseball attendance growth
→
Step 2 Stadium-area commercial district activation
→
Step 3 Sales forecasting tool for stadium-area Small Business Owners

Problem

Small business owners—restaurants, convenience stores, and bars within 1 km of a baseball stadium—cannot predict revenue fluctuations based on the game schedule and rely on gut feeling for ingredient orders. During weekend doubleheaders, stockouts cause missed sales opportunities; on off-days with no games, over-ordering leads to $225–$600 (~30–80만원) in waste losses per month.

Solution

Integrates KBO game schedules, weather, day of week, matchups (popular team pairings), and historical sales patterns to auto-calculate daily projected revenue ranges and recommended order quantities. Provides real-time alerts and order adjustment recommendations for game cancellations or rain delays.

Target: Self-employed restaurant, bar, and convenience store owners within 1 km of pro baseball stadiums, with annual revenue of $75K–$375K (~1–5억원)
Revenue Model: SaaS monthly flat rate at $14/mo (~19,000 KRW) per store, season package (Mar–Oct) at $90 (~120,000 KRW). Franchise HQ multi-store plan at $37/mo (~50,000 KRW) per 10 stores
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
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 (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 (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 [low] AI/ML [low]
Dashboard