A
Business Pivot Permit Comparison Navigator
3.95
Derivation Chain
Step 1
Automating small business closure and pivot procedures
→
Step 2
The problem of being unable to compare permit requirements when pivoting to a different industry after closing
Problem
When a 57-year-old restaurant owner considers pivoting to a cafe, co-working space, coin laundry, or unmanned convenience store after closing their business, each industry has different permit requirements (Food Sanitation Act vs. Public Health Act vs. Distribution Industry Development Act), required certifications, facility standards, initial investment costs, and zoning change eligibility for their current leased space. This information is scattered across district offices, city halls, and fire departments, making cross-industry comparison impossible. They must pay for separate administrative consultant sessions at 200,000–500,000 KRW ($150–$375) per industry. Choosing the wrong industry — only to discover permits are unobtainable — frequently results in deposit losses.
Solution
Users enter their current business address, floor area, and zoning designation, then select 3–5 industries of interest. The service generates a side-by-side comparison table of permit requirements, required certifications, facility standards, and estimated initial costs for each industry. It performs a self-diagnosis of zoning change eligibility based on building registry data and pre-filters industries where conversion is not possible.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (71%)
Data Availability
21.7/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (53/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Frontend [medium]
Backend [medium]
Data Pipeline [low]