AI SaaS Development in Miami, FL

International Trade / Compliance Technology

A Miami-based trade technology entrepreneur (former customs broker with 18 years of experience managing US-Latin America trade compliance) identified a significant market gap: small and mid-size importers (100-5,000 entries per year) had no affordable way to manage trade compliance systematically. The compliance problem: small importers managing compliance through manual processes — checking names against OFAC sanctions lists by searching the Treasury Department website, classifying products by reading tariff schedule descriptions, and tracking regulatory changes by subscribing to Federal Register updates that few people actually read. The risk: CBP estimated that 20%+ of small importer entries contained classification errors, and OFAC penalties could reach $300K+ per violation. The market: approximately 8,500 small and mid-size importers in the Miami trade corridor, 85% managing compliance manually or with basic spreadsheet-based processes. Existing solutions: enterprise compliance platforms (Descartes, Amber Road/E2open) priced at $50K-$200K annually — unaffordable for small importers doing $2M-$50M in annual import value. The gap: no affordable SaaS platform providing automated compliance screening, tariff classification assistance, and regulatory monitoring for small importers. The entrepreneur: wanting to build an AI-powered SaaS platform that would bring enterprise-level compliance capability to small importers at SaaS pricing ($200-$1,500/month). Funding: $600K seed investment from two angel investors (both former trade executives) and $150K personal investment.

We built the trade compliance SaaS platform over 20 weeks (MVP in 12 weeks, full platform in 20 weeks). Compliance screening engine (weeks 1-8). Core capability: automated screening of all transaction parties (importers, exporters, manufacturers, shippers, consignees, notify parties) against restricted party databases. Database integration: OFAC SDN list, Entity List, Denied Persons List, Unverified List, and Debarred Parties List — all databases updated automatically within 2 hours of government publication. AI matching: fuzzy matching algorithm detecting name variations, transliterations, and common evasion patterns — "Mohammed" matching "Muhammad," "Mohamed," and 14 other common variations. The AI: trained on historical screening results and CBP enforcement actions to identify patterns that simple name matching would miss. Screening results: colour-coded risk assessment with match details, recommended action, and documentation for audit trail. Batch screening: ability to screen entire customer databases against updated lists — catching existing business relationships that appear on newly published lists. Tariff classification assistant (weeks 5-12). Core capability: AI-powered product classification suggesting HTS codes based on product descriptions. Training data: 2.8M historical customs entries from publicly available CBP data, supplemented with the founder's proprietary classification database from 18 years of brokerage experience. Classification workflow: the importer describing their product in natural language (English or Spanish), the AI suggesting the most likely HTS codes with confidence scores and ruling references, and the importer confirming or adjusting the classification. Accuracy: 89.4% top-1 accuracy on validation data (the AI's first suggestion matching the correct classification 89.4% of the time), 96.2% top-3 accuracy (the correct classification appearing in the top 3 suggestions 96.2% of the time). Classification reasoning: the AI explaining why it suggested each classification — referencing tariff schedule notes, CBP rulings, and historical precedent. Duty calculation: automatic duty rate lookup and estimated landed cost calculation based on the classified HTS code. Regulatory monitoring and alerts (weeks 9-16). Core capability: automated monitoring of regulatory changes affecting the importer's products and trade lanes. Source monitoring: Federal Register, CBP bulletins, USTR announcements, Commerce Department updates, and FDA/USDA/EPA regulatory changes — all monitored automatically. AI relevance filtering: machine learning model determining which regulatory changes affect each specific importer based on their product classifications, countries of origin, and trade patterns. Alert delivery: personalised alerts in English or Spanish — explaining what changed, how it affects the importer, and what action is required. Trade lane intelligence: monitoring trade agreement changes, tariff adjustments, and country-specific requirements for the importer's active trade lanes. Dashboard and reporting (weeks 14-20). Compliance dashboard: real-time compliance status across all transactions — screening results, classification accuracy, regulatory exposure, and audit readiness. Entry management: tracking all customs entries with compliance status — flagging entries that need attention, due diligence documentation, and CBP communication. Audit preparation: automated compilation of compliance documentation — screening records, classification decisions, and regulatory correspondence organised for CBP audit response. Analytics: trend analysis showing compliance improvement over time, classification accuracy by product category, and cost savings from correct classification.

The SaaS platform launched in beta with 15 founding customers (recruited from the founder's professional network) and expanded from there. Product-market fit validation: beta feedback: 14 of 15 founding customers converted to paid plans after the 60-day beta period. Primary value: customers reporting three key benefits — (1) compliance confidence ("I can prove to CBP that I screened every party on every transaction"), (2) classification accuracy ("I'm not guessing on tariff codes anymore"), and (3) time savings ("what used to take my team 3 hours per week now takes 20 minutes"). Customer acquisition: month 1-3 (beta): 15 customers. Month 4-6: 62 customers (word-of-mouth in the tight-knit Miami trade community). Month 7-12: 184 customers. Month 12-18: 340 customers. Customer growth driver: Miami customs broker referrals — brokers recommending the platform to their small importer clients, creating a viral loop within the trade community. Revenue: month 6 MRR: $38K. Month 12 MRR: $127K ($1.52M ARR). Month 18 MRR: $248K ($2.98M ARR). Average revenue per customer: $730/month (weighted toward higher-tier plans as customers classified more products and screened more parties). Churn: monthly churn stabilised at 2.8% by month 12 — low for SMB SaaS, driven by the compliance risk that made the platform essential rather than discretionary. Customer impact: classification accuracy improvement: customers averaging 34% fewer classification errors after 6 months on the platform — reducing duty overpayment and CBP penalty risk. Compliance screening coverage: from ad-hoc manual screening to 100% automated screening — customers reporting complete confidence in their screening compliance for the first time. Time savings: customers reporting average 12 hours/month in compliance task reduction — time redirected to business growth activities. CBP audit outcomes: 8 customers audited during the first 18 months — all 8 receiving favourable outcomes with the platform's audit documentation cited as exemplary by CBP auditors. Fundraising: the SaaS metrics enabled a $3.2M Series A raise at month 14 — funds allocated to product expansion (adding trade finance features, expanding to Latin American customs systems) and sales team buildout. Financial summary: platform development: $750,000. Month 18 ARR: $2.98M. Customer count: 340. Series A raised: $3.2M. Founder equity retained: 62%.