AI-powered platform helping SMEs reduce import costs through real-time tariff predictions, supplier optimization, and automated customs documentation. Targets $4.3B trade management market with SaaS model.
TariffGuard addresses the $260B annual overpayment in global import duties through machine learning-powered trade agreement analysis. Designed for hardware startups and cross-border sellers, the platform combines predictive duty calculations with automated compliance tools, helping SMEs navigate complex tariffs while maintaining 98% customs clearance success rates.
Core functionality
- AI-driven tariff prediction engine with 85% accuracy
- Supplier matching algorithm analyzing 40+ trade agreements
- Automated customs document generator (HS code validation)
- Cost-optimization dashboard with multi-scenario modeling
- API integration with major logistics platforms
Target user and segment
Focuses on North American/EU-based:
- Hardware startups importing electronic components
- eCommerce sellers with $500k-$5M annual imports
- Procurement managers in renewable energy manufacturing
Recommended tech stack
- Backend: Python (PyTorch), Node.js, PostgreSQL
- Frontend: React dashboard with D3.js visualizations
- Infrastructure: AWS EC2 + S3 with Terraform
- APIs: CustomsData.io integration
Estimated MVP hours and costs
- 600 development hours @ €100/h = €60,000 base
- +€15k for API licensing and compliance audits
- 20% variance based on data partnerships
SWOT-analysis
- Strengths: Patent-pending prediction algorithms
- Weaknesses: Enterprise sales cycle complexity
- Opportunities: ASEAN market expansion post-MVP
- Threats: Legacy ERP systems adding basic duty tools
First 1000 customers strategy
- LinkedIn Ads: €50k budget @ €380 CPA
- HAX accelerator partnership: 200 early adopters
- Customs webinar series: 3% conversion rate
- Affiliate program with 15% revenue share
Monetization
- €299/mo Pro plan (75% gross margin)
- Break-even at 467 subscribers
- Year 1 target: 1,200 paid accounts
- Enterprise contracts @ €15k+/annual
Market positioning and competitors
- Differentiates through AI-first predictive models
- Targets robotics startups as beachhead market
- Partners with trade associations for credibility
- Uses case studies from early hardware adopters
