Featured Case Study
Digital Twins for Shipping Ports & Terminals
-
Partner
- Sector Maritime Logistics & Terminal Operations
Ports
ROI & Business Impact
Improvement in overall port efficiency
15-25%
Reduction in total operational costs
20-30%
Reduction in port maintenance costs
25-35%
Reduction in vessel turnaround time
20-30%
Investment & Costs
- Pilot$50,000 – $75,000
- Full TerminalTBD
- Multi-TerminalTBD
- Multi-AirportTBD
Investment Recovery
- Typical payback period: 12-18 months
- Ongoing operational savings compound annually
- 5-year NPV: 200-400% of initial investment
Challenges
Utilities & Substations
Vessel Delays & Port Congestion
Inefficient vessel scheduling and berth allocation causing congestion & extended waiting times for cargo ships
Cargo handling inefficiencies
Suboptimal crane operations & container movement resulting in slow turnaround times & increased operational costs
Reactive Maintenance
Unexpected failures of cranes, stackers, & terminal equipment causing disruptions & cargo delays
Supply Chain coordination
Poor coordination between vessels, trucks, rail, & warehouse operations leading to bottlenecks and reduced throughput
- Average container port experiences 50 hours of equipment downtime monthly Inef ficient port operations cost global trade $200 billion annually
- Poor cargo handling accounts for 35% of total port operational costs
Port Operational costs can be reduced with IoT and Digital Twins
Why Digital Twins
For ports
Operations
Integrate data from multiple sources - TOS, vessel tracking, crane systems, cargo flows, and port logistics - into a single, interactive 3D platform.
Decisions
Real-time simulations allow teams to test scenarios, predict equipment failures, and respond proactively to port operations and logistics challenges.
Costs
Reduce reliance on reactive maintenance and enable predictive strategies that extend equipment life and optimize port operational costs
Scalability
User-friendly interfaces reduce training time and scale seamlessly with evolving port needs and automation upgrades.
Solution
For Shipping Ports & Terminals
Combining 3D, IoT, and AI on a patented no-code web application for creating digital twins that serve as cognitive assistants
- TOS/PMS
- AI/LLM Data
- Protection Relays
- Video Feed
- Historical Data
- IoT/RFID/GPS
- Assets/ERP
- TOS/PMS
- AI/LLM Data
- Protection Relays
- Video Feed
- Historical Data
- IoT/RFID/GPS
- Assets/ERP
Immersive 3D Command Control
Monitor entire port and terminal operations in an interactive 3D environment, updated with AI-driven real-time data for proactive decision-making.
AI-Driven Predictive Maintenance
Identify and prevent issues before they arise with AI that continuously learns and predicts potential risks for cranes, terminal equipment, and critical port infrastructure.
Dynamic Performance Optimization
Leverage advanced analytics and dashboards to reduce downtime, optimize resource allocation, and achieve peak operational performance.
Scenario Simulation
Harness AI-powered digital twins to simulate vessel operations, cargo flow optimization, and emergency response with unmatched accuracy.
Sustainability Intelligence
Optimize energy consumption, reduce emissions, and meet ESG goals with AI-enhanced sustainability insights and automated compliance reporting.
High Performance Without Infrastructure
Web-based platform delivers seamless performance without GPU servers, saving costs while maintaining scalability across all devices
Our USP
Mass Accessible Digital Twins
| Traditional Solutions | Our Breakthrough | |
|---|---|---|
|
Accessibility barrier
|
Siloed Solutions
|
Browser Application
|
|
Creation complexity
|
Requires 3D Designers/ Developers
|
No-code platform
|
|
Hardware requirements
|
GPU Servers ($250k-$750k)
|
No GPUs or heavy servers needed
|
|
Deployment time
|
6 to 9 Months
|
6 to 9 Weeks
|
|
Device limitations
|
PC/Desktop or specific hardware
|
Access on any device
|
|
Technical dependencies
|
Constant IT support required
|
Self-service platform
|
|
Annual pricing per twin
|
$100k-$1M
|
$25k-$80k
|
Features (1/4)
Benefits of Digital Twins for Ports
Equipment Health Monitoring
- Asset uptime
- failure rates
- maintenance costs
- MTBF
-
Description
Real-time monitoring of critical port equipment, such as container cranes, reach stackers, terminal tractors, and cargo handling systems, using IoT sensors and control systems.
-
Business Impact
Improved equipment reliability, reduced downtime, and optimized maintenance planning.
-
Key Elements
IoT sensor data, equipment control feeds, historical performance data.
Predictive Maintenance of Port Equipment
- Predicted vs Actual Failures
- MTTR
- Maintenance Cost Savings
-
Description
Develop AI-driven predictive models to anticipate crane, cargo handling, and terminal equipment failures, enabling proactive maintenance
-
Business Impact
Reduction in unplanned downtime and maintenance costs while increasing asset life.
-
Key Elements
Historical failure logs, maintenance records, operational data from Maximo and IoT systems.
Vessel Traffic and Berth Optimization
- Vessel Turnaround Time
- Berth Utilisation
- Port Throughput
- Traffic Efficiency
-
Description
Real-time monitoring and optimization of vessel arrivals, berth allocation, and port traffic management for efficient operations.
-
Business Impact
Reduced vessel waiting times, improved berth utilization, and enhanced port throughput
-
Key Elements
Vessel tracking data, berth availability, port traffic patterns.
Features (2/4)
Benefits of Digital Twins for Ports
Cargo Flow and Container Management
- Cargo Throughput
- Container Dwell Time
- Yard Efficiency
-
Description
Monitor and simulate cargo and container movements to identify bottlenecks and optimize cargo flow and container yard operations.
-
Business Impact
Increased cargo throughput and reduced handling times, improving overall terminal efficiency.
-
Key Elements
Container tracking data, cargo flow patterns, yard optimization algorithms.
Crane Operations and Performance
- Crane Productivity
- Cycle time optimization
- Operational efficiency
-
Description
Real-time tracking and monitoring of crane operations integrated with productivity analytics and performance optimization.
-
Business Impact
Improved crane productivity, reduced cycle times, and enhanced operational efficiency.
-
Key Elements
Crane performance data, cycle time metrics, productivity analytics.
Terminal Resource Allocation
- Resource utilization
- Service quality scores
- Cost optimization
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Description
Use AI to optimize allocation of terminal resources including labor, equipment, and yard space based on real-time demand.
-
Business Impact
Improved resource efficiency and reduced operational costs.
-
Key Elements
Resource schedules, demand forecasts, capacity utilization data.
Features (3/4)
Benefits of Digital Twins for Ports
Intermodal Transportation Coordination
- Transportation efficiency
- Coordination accuracy
- Supply Chain performance
-
Description
Monitor and simulate coordination between vessels, trucks, rail, and inland transportation for seamless cargo movement.
-
Business Impact
Reduced transportation delays and improved supply chain coordination.
-
Key Elements
educed transportation delays and improved supply chain coordination.
Real-time Port operations Dashboard
- Response times
- Incident MTTR
- User satisfactions KPIs
- NPS and other stats
-
Description
Provide a unified dashboard integrating data from Maximo, BMS, and other systems for realtime decision-making.
-
Business Impact
Improved port operational transparency and faster response times to issues.
-
Key Elements
Data feeds from existing systems, KPIs for operational performance.
Emergency Scenario Simulation
- Evacuation Time
- Scenario accuracy
- Compliance Levels
-
Description
Use simulations to plan evacuation and disaster response scenarios.
-
Business Impact
Enhanced port safety and compliance with regulatory standards.
-
Key Elements
Container flow data, building layouts, emergency response protocols.
Features (4/4)
Benefits of Digital Twins for Ports
Automated Incident Response
- Incident response time
- Number of incidents
- Resolution success rate
-
Description
AI-powered detection of operational incidents (e.g., spills, equipment failures) and automated alerts for resolution.
-
Business Impact
Reduced incident response time and improved operational safety.
-
Key Elements
Camera feeds, IoT sensor data, historical incident reports.
Port Security and Access Control
- Security Compliance
- Access efficiency
- Threat detection rate
-
Description
Real-time monitoring and optimization of port security systems including access control and cargo security protocols.
-
Business Impact
Enhanced port security and improved compliance with security regulations
-
Key Elements
Security system data, access logs, compliance metrics.
Terminal Capacity Planning
- Capacity utilization
- Planning accuracy
- Expansion efficiency
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Description
Analyze terminal and facility usage patterns to optimize layouts and plan expansions effectively.
-
Business Impact
Improved capacity utilization and enhanced long-term planning.
-
Key Elements
Capacity data, usage patterns, planning accuracy.
Business Model
Substation Digital Twin
| Feature | Basic | Plus | Pro |
|---|---|---|---|
|
Application Complexity
|
Low
|
Medium
|
High
|
|
Level of Detail
|
LOD2
|
LOD3
|
LOD4
|
|
Workflows
|
4
|
10
|
no limit
|
|
Viewer Access
|
1 User
|
5 Users
|
10 Users
|
|
Editor Access
|
1 User
|
2 User
|
3 Users
|
|
Heatmap view
|
Yes
|
Yes
|
Yes
|
|
Real time IOT integration
|
Yes
|
Yes
|
Yes
|
|
RBAC
|
-
|
Yes
|
Yes
|
|
Alerts & Notifications
|
-
|
Yes
|
Yes
|
|
X-Ray View
|
-
|
Yes
|
Yes
|
|
Simulated Data Integration
|
-
|
-
|
Yes
|
|
Custom Branding
|
-
|
-
|
Yes
|
|
AI/LLM Integration
|
-
|
-
|
Yes
|
|
3rd Party API Integration
|
-
|
-
|
Yes
|
|
One-Time Cost for Process Twin Sandbox
|
-
|
-
|
-
|
|
Sandbox Development Duration
|
3-4 Weeks
|
4-6 Weeks
|
6-9 Weeks
|
|
Process Twin Platform Price (per month)
|
$750
|
$1500
|
$3000
|
|
Additional Viewer License (per month)
|
-
|
$100
|
-
|
|
Additional Editor License (per month)
|
$500
|
Implementation Approach
Pilot / POC
Discovery, Design, Integration (Weeks 1-3)
- Current state assessment, use case prioritization and ROI analysis
- Feasibility report and digital twin implementation plan
- Digital twin architecture design
- Data pipeline establishment and system integration
- Initial 3D model creation and validation
Development, Deployment (Weeks 3-6)
- Phased rollout starting with priority use cases
- User training and change management
- Performance monitoring and optimization
- 3D digital twin application publishing for multiple platforms
- Role-based access and control for digital twin usage
Training, Handover, Roadmap (Weeks 7-9)
- Knowledge transfer and documentation
- Additional use case implementation
- Advanced analytics and AI model deployment
- Continuous improvement and feature enhancement
- Expansion to additional terminals/facilities
Media Mentions
Substations
Tracxn
Top 10 Digital Twin Startups in India
Forbes
Forbes Asia 30 Under 30
Shark Tank
Featured in S02E28 – “Game Changers”
USPTO
US Patent Granted till 2035
GATES
Best Innovation Award (2024)
TechCrunch
Featured in TC NoCode/IoT Startups
Technology Architecture
Digital Twin Platform
Explore How a Digital Twin Can Boost Your Operations
