Product Requirements Document: Maritime AI Dashboard

"Digital Twin of the Oceans" - Vessel Intelligence & Safety System

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1. Executive Summary

Vision

A comprehensive maritime intelligence platform that provides vessels with AI-powered decision support, incident management, and operational guidance - designed to function seamlessly during connectivity losses at sea.

Mission

Enhance maritime safety and operational efficiency through real-time data aggregation, AI-driven insights, and autonomous vessel agents capable of functioning in low-connectivity environments.

Core Value Proposition

• Offline-First Architecture: Full functionality during connectivity losses
• AI-Powered Decision Support: Vessel agents that advise, action, and respond
• Comprehensive Intelligence: Weather, geopolitical, criminal, and financial data integration
• Edge Computing: NVIDIA-powered local processing on vessels
• Multi-Organizational: Sister company data sharing and coordination

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2. Product Overview

2.1 System Architecture

Core Components

1. Dashboard Aggregator (Central Hub)

   • Coordinates data from multiple sources
   • Manages proximity awareness and security
   • Handles multi-organizational data sharing

2. Vessel-Agents (On-Board AI)

   • Autonomous decision-making capabilities
   • Local data processing and caching
   • Incident response coordination
   • Action → Advise workflow execution

3. Sister Company Integration

   • Data sharing infrastructure
   • Tiered access levels (Levels of Priority)
   • Secure inter-organizational communication

4. Digital Twin Simulation

   • Testing environment for agent behavior
   • Connectivity failure simulation
   • Scenario planning and training

2.2 Technical Foundation

• Edge Computing: NVIDIA hardware for on-vessel processing
• Audio-First Interface: Priority #1 for crew interaction
• Multi-Communication Channels: Resilient connectivity options
• Offline Sync: Intelligent data synchronization when connection restored

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3. User Personas

Primary Users

Vessel Captain

• Needs: Real-time decision support, incident management, route optimization
• Pain Points: Limited connectivity, information overload, time-sensitive decisions
• Goals: Safe passage, regulatory compliance, efficient operations

Operations Manager (Shore)

• Needs: Fleet oversight, incident reporting, data analytics
• Pain Points: Limited visibility during connectivity losses, coordination across vessels
• Goals: Fleet safety, operational efficiency, cost optimization

Safety Officer

• Needs: Incident documentation, checklist management, regulatory compliance
• Pain Points: Manual processes, scattered data sources, response time
• Goals: Zero incidents, complete documentation, rapid response

First Responder/Crew

• Needs: Audio interface, clear checklists, step-by-step guidance
• Pain Points: Complex procedures, limited time, stressful situations
• Goals: Quick access to information, clear instructions, effective response

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4. Core Features & Requirements

4.1 Dashboard & Data Aggregation

FR-001: Central Dashboard

Priority: P0 (Critical)

• Real-time vessel status overview
• Multi-vessel fleet view
• Incident alerts and notifications
• Data quality indicators
• Connectivity status for each vessel

FR-002: Data Source Integration

Priority: P0 (Critical)

Environmental Data:

• Local Weather (Temperature, Pressure, Humidity)
• Global Weather patterns
• Local Oceanic Conditions (Current, Pressure)
• Global Oceanic Conditions (Wind, Waves)

Intelligence Data:

• Criminal activity reports
• Geopolitical situation updates
• Financial market data
• Insurance knowledge base
• News feeds (Maritime-focused)
• Library/Documentation access

Operational Data:

• Vessel location (GPS coordinates)
• Speed and direction
• Planned route
• Route deviations
• Fuel consumption
• Crew status

FR-003: Multi-Data Source Quality Control

Priority: P0 (Critical)

• Data validation from Five Coral and other sources
• Cross-reference verification
• Confidence scoring
• Source reliability tracking
• Automated quality reports

4.2 Vessel-Agent System

FR-004: Autonomous Vessel Agents

Priority: P0 (Critical)

Agent Capabilities:

• Observe: Monitor all data sources continuously
• Analyze: Process incidents against knowledge base
• Action: Execute pre-approved responses
• Advise: Provide recommendations to crew
• Learn: Improve responses based on outcomes

Agent Types:

1. Weather Agent: Environmental monitoring and forecasting
2. Navigation Agent: Route optimization and deviation detection
3. Incident Response Agent: Emergency coordination
4. Compliance Agent: Regulatory and insurance requirements
5. Communication Agent: Multi-channel coordination

FR-005: Offline Agent Functionality

Priority: P0 (Critical)

• Full agent operation during connectivity losses
• Local data caching (30-day minimum)
• Queue-based sync when connection restored
• Confidence indicators for cached data age
• Manual override capabilities

FR-006: Agent Decision Framework

Priority: P0 (Critical)

• Low Risk: Auto-execute actions
• Medium Risk: Advise with recommended actions
• High Risk: Alert and await human approval
• Configurable risk thresholds
• Audit trail for all decisions

4.3 Incident Management

FR-007: Incident Detection & Classification

Priority: P0 (Critical)

Incident Types:

• Weather Events (Storms, Fog, Ice)
• Criminal Activity (Piracy, Theft)
• Geopolitical Situations (Restricted zones, Conflicts)
• Financial Issues (Port fees, Currency)
• Mechanical Failures (Engine, Navigation)
• Medical Emergencies
• Environmental Hazards (Oil spills, Pollution)
• Dangerous Events (Collision risk, Man overboard)

Incident Attributes:

• Type classification
• Severity level (1-5)
• Location (Coordinates + Description)
• Damage assessment
• Status (Active, Resolved, Monitoring)
• Response assigned

FR-008: Incident Response System

Priority: P0 (Critical)

• Dynamic checklist generation based on incident type
• Step-by-step crew guidance
• Agent-assisted response (speed-up response time)
• Real-time status updates
• Escalation procedures
• Post-incident reporting

FR-009: Incident Reports

Priority: P1 (High)

• Automated incident documentation
• Quality assurance checks
• Insurance claim preparation
• Regulatory compliance formatting
• Multi-format export (PDF, JSON, XML)
• Timestamped audit trail

4.4 Connectivity & Resilience

FR-010: Connectivity Simulation & Testing

Priority: P0 (Critical)

• Simulate connectivity failures
• Test agent behavior in offline mode
• Validate data sync procedures
• Measure system resilience
• Performance benchmarking

FR-011: Offline-First Data Management

Priority: P0 (Critical)

• Local database synchronization
• Conflict resolution protocols
• Priority-based data caching
• Bandwidth-optimized sync
• Incremental updates

FR-012: Multi-Communication Channels

Priority: P0 (Critical)

• Satellite communication
• Radio integration
• Mesh networking (vessel-to-vessel)
• Shore-to-ship links
• Emergency backup channels
• Automatic failover

4.5 Audio Interface System

FR-013: Voice-First Interaction (Priority #1)

Priority: P0 (Critical)

• Natural language voice commands
• Hands-free operation
• Multi-language support
• Ambient noise filtering
• Voice authentication
• Emergency voice alerts

FR-014: Audio Intelligence

Priority: P1 (High)

• Context-aware responses
• Situational audio priorities
• Voice-activated incident reporting
• Audio checklist reading
• Text-to-speech for all reports
• Voice notes and logging

4.6 Sister Company Integration

FR-015: Data Sharing Network

Priority: P1 (High)

• Secure inter-organizational API
• Tiered access control (Levels of Priority)
• Real-time incident sharing
• Best practice exchange
• Aggregated intelligence feed

FR-016: Multi-Tenant Architecture

Priority: P1 (High)

• Organization isolation
• Configurable sharing policies
• Cross-company incident visibility
• Anonymized data sharing options
• Usage analytics per organization

4.7 Navigation & Route Management

FR-017: Route Planning & Monitoring

Priority: P0 (Critical)

• Planned route visualization
• Real-time deviation detection
• Alternative route suggestions
• Weather-optimized routing
• Fuel-efficient path calculation
• Hazard avoidance

FR-018: Location Services

Priority: P0 (Critical)

• GPS position tracking
• Speed and heading monitoring
• Proximity alerts (vessels, hazards, land)
• Geofencing (restricted zones)
• Historical track replay
• ETA calculations

4.8 Digital Twin & Simulation

FR-019: Ocean Digital Twin

Priority: P1 (High)

• Virtual ocean environment
• Vessel behavior simulation
• Agent testing framework
• Scenario planning
• Training mode for crew
• "What-if" analysis

FR-020: Automated Testing

Priority: P1 (High)

• Agent behavior validation
• Connectivity failure testing
• Incident response drills
• Performance benchmarking
• Regression testing
• Load testing

4.9 Reporting & Analytics

FR-021: Data Reports

Priority: P1 (High)

• Operational dashboards
• Performance metrics
• Fuel efficiency analysis
• Route optimization reports
• Incident statistics
• Compliance reports
• Integration with Five Coral reporting standards

FR-022: Predictive Analytics

Priority: P2 (Medium)

• Weather pattern prediction
• Maintenance forecasting
• Incident probability scoring
• Route risk assessment
• Fuel consumption optimization
• Crew fatigue monitoring

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5. Non-Functional Requirements

5.1 Performance

• Response Time: < 100ms for UI interactions
• Agent Decision Time: < 5 seconds for high-priority incidents
• Data Sync: < 60 seconds when connection restored
• Offline Operation: 30-day minimum without connectivity
• Concurrent Users: 100+ simultaneous vessel connections

5.2 Reliability

• System Uptime: 99.9% availability
• Data Integrity: Zero data loss during sync
• Agent Reliability: 99.5% correct decision rate
• Failover Time: < 30 seconds for backup systems

5.3 Security

• Authentication: Multi-factor for shore access
• Encryption: AES-256 for data at rest, TLS 1.3 in transit
• Access Control: Role-based with audit logging
• Data Privacy: GDPR and maritime regulation compliance
• Incident Logging: Immutable audit trail

5.4 Scalability

• Vessel Capacity: 1,000+ vessels per organization
• Data Volume: 1TB+ per vessel per year
• Agent Scaling: Dynamic resource allocation
• API Rate Limits: Configurable per tenant

5.5 Usability

• Audio Interface: < 3 words average command length
• Visual Dashboard: Accessible on mobile, tablet, desktop
• Training Time: < 2 hours for basic crew operation
• Internationalization: 10+ language support
• Accessibility: WCAG 2.1 AA compliance

5.6 Compatibility

• Edge Hardware: NVIDIA Jetson series
• Operating Systems: Linux-based (Ubuntu, Debian)
• Browsers: Chrome, Firefox, Safari, Edge (latest 2 versions)
• Mobile: iOS 14+, Android 10+
• Marine Equipment: NMEA 0183/2000 integration

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6. Technical Architecture

6.1 Technology Stack (Recommended)

Frontend:

• React/Next.js for dashboard
• React Native for mobile apps
• Web Audio API for voice interface
• D3.js/Recharts for data visualization
• Leaflet/Mapbox for mapping

Backend:

• Python FastAPI for API services
• PostgreSQL for relational data
• TimescaleDB for time-series data
• Redis for caching
• RabbitMQ for message queuing

Edge Computing:

• NVIDIA Jetson (Orin or Xavier)
• Docker containers for agents
• TensorFlow Lite for on-device inference
• SQLite for local data storage
• Offline-first data sync (PouchDB/CouchDB pattern)

AI/ML:

• LangChain for agent orchestration
• OpenAI/Claude API (when connected)
• Local LLM fallback (Llama, Mistral)
• Whisper for speech recognition
• TTS engines (Piper, Coqui)

Infrastructure:

• Kubernetes for orchestration
• AWS/Azure/GCP for cloud hosting
• Satellite communication APIs (Starlink, Iridium)
• CDN for static assets
• Backup systems for critical services

6.2 Data Flow Architecture

[Vessel Sensors] → [Edge Device/NVIDIA] → [Vessel Agents]
                          ↓
                    [Local Cache]
                          ↓
              [Connectivity Manager]
                          ↓
              [Cloud Aggregator] → [Dashboard]
                          ↓
            [Sister Company Network]

6.3 Agent Architecture

[Data Sources] → [Observation Layer]
                        ↓
                  [Analysis Engine]
                        ↓
                 [Decision Matrix]
                   ↙         ↘
            [Auto-Action]  [Advise Human]
                   ↘         ↙
              [Execution & Logging]
                        ↓
                  [Learning Loop]

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7. User Interface Requirements

7.1 Dashboard Views

Command Center View

• Fleet overview map
• Active incidents panel
• Weather overlay
• Connectivity status
• Quick action buttons

Vessel Detail View

• Current status card
• Route visualization
• Environmental data
• Agent activity log
• Historical performance

Incident Management View

• Active incidents list
• Incident detail cards
• Response checklists
• Communication thread
• Status updates

Analytics View

• Performance metrics
• Cost analysis
• Route efficiency
• Incident trends
• Predictive insights

7.2 Audio Interface Design

Voice Commands:

• "Report current status"
• "Show weather forecast"
• "Start incident report - [type]"
• "Read safety checklist"
• "Alert crew - [message]"
• "Recommend route change"
• "Connect to shore"

Voice Responses:

• Clear, concise information delivery
• Confirmation prompts for critical actions
• Step-by-step instruction reading
• Alert priority indication (tone/urgency)

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8. Integration Requirements

8.1 External APIs

• Weather services (NOAA, AccuWeather, etc.)
• Maritime traffic (AIS data)
• Geopolitical intelligence feeds
• Financial data providers
• Insurance platforms
• Regulatory databases

8.2 Hardware Integrations

• GPS/GNSS receivers
• Weather stations
• Radar systems
• AIS transponders
• Engine monitoring
• Fuel sensors
• Communication equipment

8.3 Sister Company Systems

• Shared incident database
• Cross-company communication
• Aggregated intelligence feeds
• Best practice libraries
• Training materials

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9. Compliance & Regulatory Requirements

9.1 Maritime Regulations

• IMO SOLAS compliance
• ISM Code adherence
• MARPOL environmental standards
• Flag state requirements
• Port state control readiness

9.2 Data Regulations

• GDPR (European waters)
• CCPA (California)
• Maritime data sovereignty
• Insurance documentation standards
• Incident reporting regulations

9.3 Safety Standards

• ISO 9001 (Quality Management)
• ISO 27001 (Information Security)
• IEC 61162 (Maritime navigation equipment)
• NMEA standards

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10. Development Phases

Phase 1: MVP (Months 1-4)

Core Features:

• Basic dashboard with single vessel support
• Essential data integration (Weather, GPS, AIS)
• Simple incident reporting
• Basic vessel agent (observation + alerts)
• Audio interface prototype
• Offline data caching

Success Metrics:

• 1 vessel fully operational
• 24-hour offline capability
• < 5 minute incident reporting time

Phase 2: Multi-Vessel & Advanced Agents (Months 5-8)

Added Features:

• Fleet management dashboard
• Advanced AI agents (Action + Advise)
• Incident response checklists
• Enhanced audio interface
• Sister company data sharing
• 30-day offline capability

Success Metrics:

• 10 vessels operational
• 95% agent decision accuracy
• 50% reduction in incident response time

Phase 3: Digital Twin & Advanced Analytics (Months 9-12)

Added Features:

• Simulation environment
• Predictive analytics
• Advanced route optimization
• Full multi-tenant support
• Comprehensive reporting
• Training mode

Success Metrics:

• 100+ vessels supported
• 99% system uptime
• ROI demonstrated through efficiency gains

Phase 4: Scale & Ecosystem (Months 13+)

Added Features:

• Multi-organization network
• Advanced ML models
• Custom integration marketplace
• Mobile apps (iOS/Android)
• Advanced compliance automation

Success Metrics:

• 1,000+ vessels
• Industry adoption
• Reduced maritime incidents industry-wide

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11. Success Metrics & KPIs

Operational Metrics

• Incident Response Time: Target < 5 minutes
• Route Efficiency: 10% improvement in fuel consumption
• Downtime Reduction: 50% fewer operational delays
• Compliance Rate: 100% regulatory adherence

Technical Metrics

• System Uptime: 99.9%
• Agent Accuracy: 95%+
• Offline Capability: 30+ days
• Data Sync Speed: < 60 seconds

Business Metrics

• Customer Satisfaction: NPS > 50
• ROI: Positive within 18 months
• Market Adoption: 100+ vessels within 24 months
• Insurance Savings: 15% reduction in premiums

Safety Metrics

• Incident Reduction: 30% fewer incidents
• Crew Safety: Zero serious injuries
• Environmental Impact: 20% reduction in emissions
• Response Effectiveness: 90%+ successful incident resolutions

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12. Risks & Mitigation

Technical Risks

Risk	Impact	Probability	Mitigation
Connectivity unreliability	High	High	Offline-first architecture, multi-channel backup
Edge hardware failure	High	Medium	Redundant systems, rapid replacement process
AI agent errors	High	Medium	Human-in-the-loop for critical decisions, extensive testing
Data sync conflicts	Medium	Medium	Conflict resolution protocols, version control

Operational Risks

Risk	Impact	Probability	Mitigation
Crew adoption resistance	Medium	Medium	Comprehensive training, audio-first interface
Regulatory non-compliance	High	Low	Regular audits, compliance automation
Data privacy breach	High	Low	Strong encryption, access controls, auditing
Sister company coordination	Medium	Medium	Clear SLAs, communication protocols

Business Risks

Risk	Impact	Probability	Mitigation
High development costs	Medium	Medium	Phased approach, MVP validation
Market competition	Medium	High	Unique offline capability, comprehensive features
Customer churn	High	Low	Strong support, continuous improvement
Scalability challenges	Medium	Medium	Cloud-native architecture, load testing

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13. Open Questions & Decisions Needed

Technical Decisions

• Specific NVIDIA hardware model (Jetson Orin vs Xavier)?
• Primary cloud provider (AWS/Azure/GCP)?
• LLM for edge deployment (Llama 2/3, Mistral, custom)?
• Satellite provider selection (Starlink, Iridium, hybrid)?

Product Decisions

• Pricing model (per vessel, per organization, usage-based)?
• Sister company data sharing policies?
• Agent autonomy levels (configurable vs fixed)?
• Mobile app priority vs web-first?

Business Decisions

• Target market segment (commercial shipping, fishing, military)?
• Geographic launch regions?
• Partnership strategy (hardware vendors, maritime companies)?
• Open source components vs proprietary?

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14. Appendices

A. Glossary

• Vessel Agent: AI system running on vessel edge hardware
• Digital Twin: Virtual simulation of ocean environment
• Sister Company: Partner organization in data-sharing network
• Incident: Any event requiring crew attention or action
• Edge Computing: Processing on vessel hardware vs cloud
• Offline-First: Design prioritizing functionality without connectivity

B. References

• IMO SOLAS Convention
• NVIDIA Jetson Documentation
• Maritime AIS Standards
• NMEA 0183/2000 Specifications
• Five Coral Quality Standards (to be defined)

C. Stakeholder Contact List

• Product Owner: [TBD]
• Technical Lead: [TBD]
• Maritime SME: [TBD]
• Safety Officer: [TBD]
• Sister Company Liaison: [TBD]

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Document Control

Version: 1.0 Date: October 24, 2025 Status: Draft Author: Product Team Reviewers: [TBD] Next Review: [TBD]

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Changelog

Version	Date	Author	Changes
1.0	Oct 24, 2025	Product Team	Initial draft based on whiteboard specifications