A

Tariff Scenario Cost Simulator

4.40

Derivation Chain

Step 1 Trump 15% tariff and potential Section 301 trade investigation on Korea
→
Step 2 Korean export manufacturers' tariff risk response
→
Step 3 Automated product cost variation simulation tool by tariff scenario

Problem

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.

Solution

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.

Target: Cost management teams and CFOs at export manufacturers (auto parts, electronics, steel) with annual revenue of ~$7.5M-$375M; customs law firms and trade consulting companies
Revenue Model: SaaS Monthly Subscription at ~$74/account (up to 100 BOM items), additional 100 items at ~$22/month, scenario Report auto-generation included
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
5.0/5
R Realizability
4.0/5
V Validation
5.0/5
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 (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (79/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
13.5/15
Solo Buildability
5.0/10
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] Data Pipeline [medium] Frontend [low]
Dashboard