AI-Driven Petroleum Trading Operating System, Automated KYC/AML Compliance Engine, Intermediary Margin Optimizer, and Multi-App Ecosystem.
Ducagini Petroleum Ltd requires a secure, enterprise-grade petroleum trading operating system that automates the entire trading lifecycle—from client onboarding, KYC/AML approval, and buyer-seller AI matching to pricing/spread margin calculation, trade execution, legal document generation (SPA, LOI, ICPO), client portal communication, and BI analytics.
Invite, Sign-up & 2FA Auth setup
Company & UBO documentation
Auto-extraction of Passport & Corp docs
Sanctions, OFAC & PEP automated scan
Compliance Officer review & sign-off
Buyer requirements & Seller inventory
Algorithmic Trade feasibility scoring
Ducagini margin & pricing calculation
SPA, LOI, ICPO contract generation
Trade closure & BI analytics reporting
| Module Name | Sub-Modules & Functionalities | Tech / Third-Party API | Dev Hours | Phase |
|---|---|---|---|---|
|
Auth & Security
|
|
Auth0 Twilio AES-256 | 120 Hrs | Phase 1 |
|
Client KYC Onboarding
|
|
Next.js Forms AWS S3 Storage | 160 Hrs | Phase 1 |
|
Intelligent OCR AI
|
|
AWS Textract Google Doc AI | 200 Hrs | Phase 2 |
|
AML Compliance Engine
|
|
ComplyAdvantage API OpenSanctions | 150 Hrs | Phase 1 |
|
Enterprise CRM
|
|
Redux Toolkit Tailwind UI | 180 Hrs | Phase 1 |
|
Petroleum Marketplace
|
|
WebSockets Node.js Engine | 140 Hrs | Phase 2 |
|
AI Matching Engine
|
|
Python SciPy OpenAI GPT-4o | 220 Hrs | Phase 2 |
|
Pricing & Spread Engine
|
|
Custom Algorithmic Logic | 100 Hrs | Phase 2 |
|
Trade Lifecycle
|
|
PostgreSQL Ledger | 130 Hrs | Phase 1 |
|
Auto Document Engine
|
|
Puppeteer docx.js DocuSign API | 160 Hrs | Phase 2 |
|
Multi-App Mobile Suite
|
|
Flutter (iOS/Android) Firebase FCM | 300 Hrs | Ph 1 & 2 |
|
Analytics & Security Audit
|
|
Recharts CloudWatch | 110 Hrs | Phase 2 |
Next.js 14 / React.js for enterprise dashboard rendering, Tailwind CSS for dark-theme corporate UI, Redux Toolkit for state management.
Node.js (NestJS) / Python FastAPI for microservices architecture, PostgreSQL relational database, and Redis for high-speed caching.
Flutter for unified iOS & Android mobile applications codebase, Hive encrypted local storage, Firebase FCM for push notifications.
AWS S3 & Textract for document OCR, OpenAI GPT-4o for intelligent matching, Auth0 for authentication, and CloudWatch for monitoring.
Authentication 2FA, Client Onboarding, Basic Document Upload, AML Screening Engine, MLRO Compliance Dashboard, CRM Core, Trade Ledger, & Basic Client Mobile App.
Advanced OCR Fraud Detection, AI Buyer-Seller Matching Engine, Spread/Margin Optimizer, Document Auto Generation (SPA/LOI PDF), & Executive Mobile App.
Predictive AI Analytics, DocuSign / Adobe Sign E-Signature API, Vessel & Shipment Tracking (IMO APIs), & Workflow SLA Automation.
The document outlines an estimated overall timeline of 17 Weeks. However, due to external third-party integrations (AML Sanctions APIs, AWS Textract Engine, IMO Vessel Tracking) and compliance audit sign-offs, actual deployment schedules may vary slightly.
Recurring Infrastructure Costs: Cloud hosting (AWS), OpenAI API consumption, Textract OCR processing fees, SMS OTP gateways, and Third-Party AML Database subscriptions will be billed directly to the client and are separate from core system development fees.