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With the Trump administration's tariff policies fluctuating frequently, CFOs and cost management teams at Korean export manufacturers (auto parts, electronics, steel) manually calculate product cost and margin impacts for each tariff rate scenario using spreadsheets. With 50+ product items, a single scenario takes 2-3 days, and the process must be repeated with every policy change—wasting 200-400 hours of labor annually.
Register your BOM (Bill of Materials) and HS codes, and the system automatically calculates item-by-item cost and margin variations across tariff rate scenarios (current, announced changes, worst-case projections). Real-time tariff news monitoring triggers instant impact analysis Reports whenever new scenarios emerge.
| 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. |
| 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. |
| 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. |