Featured Case Study

Project

Digital Twins for Airports

Partner
Sector Aviation & Airport Management

Airports

ROI & Business Impact

Improvement in overall asset utilization

15-25%

Reduction in total energy consumption

20-30%

Reduction in substation maintenance costs

20-40%

Reduction in unplanned downtime

5-10%

Investment & Costs

Pilot$50,000 – $75,000
Full SubstationTBD
Multi-SubstationTBD
Utility-wideTBD

Investment Recovery

Typical payback period: 12-18 months
Ongoing operational savings compound annually
5-year NPV: 200-400% of initial investment

Challenges

Operational Complexity in Airport Environments

Fragmented Operational Data

Critical systems operate in silos, limiting real-time visibility.

Inefficient Passenger Flow

Unpredictable queues and bottlenecks reduce throughput.

Unplanned Equipment Downtime

Baggage, HVAC, and airside systems lack predictive monitoring.

Limited Situational Awareness

Lack of unified dashboards slows response and coordination.

Average airport loses 2-5 hours per month to unplanned downtime
Unoptimized passenger flow costs 6 -10% loss of revenue annually

100%

Visibility Across Airside & Terminal Operations

Solution

A Unified Digital Twin for Intelligent Airport Operations

Combining 3D, IoT, and AI into a unified no-code platform that delivers a real-time operational twin for airport efficiency and resilience.

SOP/Manuals
AI/LLM Data
Mechanical Data
Geometric Data
Historical Data
IoT/MES/RPA
Assets/ERP

SOP/Manuals
AI/LLM Data
Mechanical Data
Geometric Data
Historical Data
IoT/MES/RPA
Assets/ERP

Real-Time Data Fusion

Integrates IoT, SCADA, ERP, and sensor feeds into a live operational model.

Airside & Terminal Mapping

Creates a high-fidelity 3D representation of aircraft stands, gates, and passenger zones.

Predictive Maintenance AI

Forecasts failures across baggage, HVAC, and critical airside systems.

Passenger Flow Intelligence

Identifies congestion patterns and optimizes queue and terminal movement.

Unified Command Dashboard

Provides a single interface for monitoring alerts, events, and operational KPIs.

Scenario & Risk Simulation

Test operational strategies for delays, disruptions, and capacity planning.

Our USP

Mass Accessible Process 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

Benefits of Digital Twins for Airports

Asset Health Monitoring

Equipment performance dashboards
Fault trend and historical analysis

Description

Real-time monitoring of critical airport assets, integrating sensor data, SCADA inputs, and operational telemetry.
Business Impact

Reduces unexpected failures and improves service reliability across terminal and airside systems.
Key Elements

Live condition tracking, anomaly detection, and automated alert workflows.

Predictive Maintenance of Equipment

Failure probability insights
Maintenance schedule optimization

Description

AI-driven models predict failures in baggage systems, HVAC, and ground-support equipment before they occur.
Business Impact

Minimizes downtime, lowers maintenance costs, and enhances overall operational resilience.
Key Elements

Machine-learning forecasts, degradation patterns, and risk scoring.

Energy Consumption Optimization

Real-time energy heatmaps
Scenario-based efficiency recommendations

Description

Digital twin continuously analyzes energy usage across terminals, gates, lighting, and HVAC systems.
Business Impact

Reduces energy expenditure while supporting sustainability and ESG initiatives.
Key Elements

Load analytics, peak-demand forecasting, and intelligent automation controls.

Benefits of Digital Twins for Airports

Passenger Flow Optimization

Queue monitoring and predictions
Gate and checkpoint optimization

Description

Analyzes movement patterns across terminals to identify congestion, queue build-up, and passenger distribution.
Business Impact

Improves throughput, reduces wait times, and enhances overall passenger experience.
Key Elements

Heatmaps, flow simulations, and real-time crowd density analytics.

Baggage Handling and Tracking

Real-time baggage flow visibility
Delay and bottleneck alerts

Description

Digitalizes baggage movement with real-time belt, chute, and container tracking across the airport.
Business Impact

Reduces lost baggage incidents and increases efficiency in handling and transfers.
Key Elements

IoT-enabled tracking, belt performance analytics, and routing insights.

Resource Allocation Optimization

Staff and equipment demand forecasting
Intelligent gate and stand allocation

Description

Optimizes deployment of staff, vehicles, gates, and equipment based on live operational demand.
Business Impact

Improves utilization, reduces operational costs, and maximizes airport capacity.
Key Elements

Predictive workload models and dynamic resource scheduling.

Benefits of Digital Twins for Airports

Runway and Taxiway Management

Runway/taxiway congestion detection
Aircraft routing and scheduling insights

Description

Provides real-time visibility of aircraft movements, runway occupancy, and ground operations across airside zones.
Business Impact

Enhances safety, reduces delays, and improves utilization of critical airside infrastructure.
Key Elements

Movement heatmaps, operational alerts, and traffic sequencing models.

Real-Time Dashboard for Stakeholders

Multi-layer operational views
Stakeholder-specific dashboards

Description

Unifies airside, terminal, and operational telemetry into a single, role-based dashboard for decision-makers.
Business Impact

Improves coordination and response times across airport operations teams and partner organizations.
Key Elements

Custom KPIs, cross-system data fusion, and live event alerts.

Emergency Scenario Simulation

Evacuation and crowd-movement simulations
Safety and contingency planning

Description

Simulates emergencies such as equipment failures, congestion events, weather disruptions, and evacuation flows.
Business Impact

Strengthens preparedness, reduces operational risk, and supports regulatory readiness.
Key Elements

Dynamic scenario modeling and impact forecasting.