DUCAGINI PETROLEUM LTD.

Enterprise AI-Driven Petroleum Trading System Architecture & Execution Blueprint

System Spec v1.0
Core Business Purpose: Ducagini Petroleum requires an institutional-grade operating system designed to automate the complete petroleum trading lifecycle—integrating KYC/AML compliance, AI-based Buyer-Seller matching, Spread Optimization, Document Automation, Multi-Tier CRM, and Mobile Applications into a single secure platform.
Target Architecture
Microservices
Estimated Timeline
17 Weeks
Core Modules
17 Engines
Security Protocol
AES-256 / TLS 1.3
1. End-to-End Operating Workflow
Client Invite
2FA Login
KYC Upload
OCR Data Extraction
AML/PEP Check
MLRO Approval
Marketplace Onboard
AI Matching Engine
Spread Optimization
Auto Doc Gen
Trade Execution
2. Core Modules Architecture & Scope Breakdown

1. Authentication & Security

Institutional login system with granular role-based access control (RBAC).

JWT Tokens MFA / 2FA Session Control IP/Device Fingerprint Audit Logs

2. KYC Onboarding Engine

Onboards Buyers, Sellers, Brokers, Intermediaries, and Logistics Partners.

Client Self-Portal Internal Staff Entry Corporate Data Extraction UBO / Director Records

3. OCR & Document Processing

Automated document parsing for passports, registry, and banking proofs.

MRZ Passport Reader Incorp Cert Reader Fraud Score Detection Authenticity Scoring

4. Compliance & AML Engine

Real-time automated screening against global sanctions and watchlists.

OFAC / EU / UN Sanctions PEP Database Integration MLRO Dashboard Decision Logs

5. AI Matching Engine

Algorithmic matching of high-probability trading opportunities.

Product/Volume Match Price Compatibility Geography Compatibility Match Score Calculation

6. Pricing & Spread Engine

Intermediary margin optimization algorithm to maximize trading profitability.

Gross/Net Margin Profit per MT/Barrel Freight/Storage Deductions Dynamic Pricing

7. Auto Document Engine

Automatic generation of petroleum contracts pre-filled with trade parameters.

ICPO / LOI / FCO SPA / TSA / CPA Auto PDF/DOCX Version Control

8. Enterprise CRM & Pipeline

Centralized counterparty operational dashboard for Ducagini staff.

Kanban Sales Pipeline Counterparty Master Profiles Communication Logs Health Scoring

9. Multi-Persona Mobile Suite

Cross-platform mobile apps for external clients and internal executives.

Client App Executive Approval App Sales CRM App Push Alerts
3. Recommended Technical Stack
Architecture Layer Recommended Technology Alternative Option Technical Rationale
Web Frontend Next.js (React 18+) React.js (SPA) Enterprise-grade performance, SSR, fast load times, and dynamic UI rendering.
Mobile Frontend Flutter (Dart) React Native Single codebase for Client, Executive, and Sales apps across iOS & Android.
Backend APIs Node.js (NestJS) / Python FastAPI Go (Golang) High-speed microservices processing, asynchronous data parsing, and AI integration.
Database & Caching PostgreSQL + Redis MySQL Enterprise ACID-compliant relational ledger for trades with Redis high-speed session caching.
AI & OCR Layer AWS Textract + OpenAI (GPT-4o) Google Document AI Passport MRZ parsing, corporate document extraction, and algorithmic trade scoring.
Cloud Storage AWS S3 (Encrypted Private Buckets) Google Cloud Storage Encrypted document vault with pre-signed temporary URLs for sensitive files.
Security Layer AES-256 Encryption + TLS 1.3 Auth0 / Firebase Auth Bank-grade encryption at rest and in transit with automated intrusion detection (WAF).
4. Phased Development Roadmap

PHASE 1: Core System & Compliance

Duration: 6 – 7 Weeks (MVP Release)

  • Authentication + 2FA + RBAC
  • Client KYC Onboarding Forms
  • Document Upload & Basic OCR Extraction
  • AML Screening (OFAC, EU, UN Sanctions)
  • MLRO Compliance Dashboard
  • CRM Pipeline & Counterparty Register
  • Client Web Portal Access

PHASE 2: AI Automation & Trading

Duration: 6 Weeks (Full Feature Release)

  • Advanced Fraud Scoring & Verification OCR
  • AI Buyer/Seller Matching Engine
  • Pricing & Spread Optimization Engine
  • Auto Document Generation (ICPO, SPA, LOI)
  • Executive Approval Mobile App
  • Push Notifications & Alert Engine

PHASE 3: Enterprise Addons

Duration: Future Scaling Phase

  • Predictive AI Trade Risk Forecasting
  • E-Signature Integration (DocuSign API)
  • Vessel & Logistics Tracking (IMO API)
  • Automated SLA Routing & Escalations
  • Multi-Language Enterprise Support
5. Resource Requirements & Commercials
Role Requirement Headcount Primary Scope
Project Manager 1 Lead Sprint planning, scope control, delivery timeline tracking, client communication.
UI/UX Designer 1 Senior Design systems, Figma prototypes for Web CRM, MLRO Dashboard, Client Portal, and Mobile Apps.
Backend Developers 2 Engineers Microservices API Gateway, Business logic engines, Database architecture, AI integrations.
Frontend Developers 2 Engineers Next.js Web CRM development, MLRO Dashboard, Client Web Portal, Analytics Charts.
Mobile Developer 1 Engineer Flutter development for Client, Sales, and Executive Mobile Apps (iOS & Android).
DevOps Engineer 1 Specialist AWS infrastructure, Private VPC, WAF deployment, Database Encryption, CI/CD pipelines.
QA Automation Engineer 1 Specialist End-to-end trade flow testing, security penetration testing, and API sanity checks.
Commercial Note: All development estimations include end-to-end design, software engineering, testing, and cloud deployment. Third-party cloud infrastructure costs (AWS Hosting, OpenAI usage, AWS Textract OCR, SMS 2FA gateways) are variable operational expenses to be billed directly to Ducagini Petroleum.

Financial Investment Breakdown

Phase Deliverable Offshore Development Cost Target Client Proposal Quote
Phase 1 (Core Platform & Compliance) $12,000 USD $22,000 USD
Phase 2 (AI Engine & Automation) $10,000 USD $18,000 USD
Phase 3 (Enterprise Intelligence) $6,000 USD $10,000 USD
TOTAL PROJECT COST $28,000 USD $50,000 USD

Monthly Third-Party Overhead (Est.)

Service Category Provider Est. Monthly Cost
Cloud Hosting & DB AWS (EC2, S3, RDS Postgres) ~$250 - $400 / month
OCR Extraction API AWS Textract / Google AI Usage-based (~$50 - $150 / mo)
AI Matching Engine OpenAI API (GPT-4o) Usage-based (~$100 - $300 / mo)
AML & Sanctions API OpenSanctions / ComplyAdvantage ~$200 - $500 / month
Auth & Notifications Auth0 / Twilio SMS Usage-based (~$50 - $100 / mo)
6. Risk Assessment & Mitigation Strategy

Identified Technical Risks

  • Poor Quality Scanned Documents: Failure of OCR engines on blurry or handwritten scans.
  • AML Screening False Positives: Excessive false-positive flags halting legitimate trades.
  • Third-Party API Gating: Integration delays for external live sanctions or vessel APIs.

Mitigation Protocol

  • Side-by-Side Review UI: Implement a manual correction view for OCR verification inside the CRM.
  • MLRO Score Thresholds: Provide configurable match sensitivity scores for compliance officers.
  • Modular API Gateway: Build with mock interfaces to prevent third-party API delays from stalling backend development.