Can it predict delays before they happen?

Yes. Models use historical turnaround patterns and live ground activity to forecast delays, so teams can act before SLAs or schedules are affected.

How are skipped or abnormal tasks handled?

The system verifies that each task is completed correctly and in sequence. Exceptions, skipped steps, or unusual durations are flagged for review.

What do ramp agents get?

A mobile-first app to receive alerts, update task status, and report issues in real time, linking the apron with the control center.

Can it optimize ground staff and equipment?

Yes. It helps allocate staff, equipment, and gates more efficiently, reducing idle time and overstaffing at peak hours.

Does it support SLA tracking?

Yes. Performance is tracked against your SLAs and service benchmarks, with real-time and historical reporting that reduces contractual disputes.

Do we need to replace existing workflows?

No. Open APIs let data flow without disrupting the tools your teams already use.

What cameras or hardware are needed?

We work with your existing apron cameras where possible and advise on coverage during a site review.

Can it scale to many gates and airports?

Yes. The platform is designed to expand across gates, stands, and locations as flight volumes grow.

Do you offer a pilot first?

Yes. A scoped pilot on selected gates proves value before wider rollout.

How accurate is event detection?

Accuracy depends on camera placement, lighting, and aircraft types. We validate on your own footage and tune before go-live.

Is there a human in the loop?

Yes. Exceptions are routed for review, and teams can confirm or correct events to improve the models.

How is operational data secured?

Access controls, encryption, and audit trails are planned into the deployment to fit your security requirements.

Can we trace what caused a delay?

Event-level tracking records what happened and when, which speeds root-cause analysis and corrective action.

How do models improve over time?

We monitor performance and use approved feedback and retraining workflows as operations change.

How do you measure results?

We agree on metrics up front, such as on-time departures, EOBT accuracy, turnaround duration, and asset utilization.

Can you run the solution for us?

Yes. Managed support covers monitoring, retraining, and new use cases after launch.

What if my use case is not listed?

We design custom turnaround solutions around your aircraft, ground operations, and performance goals.

Will our team need new skills?

Not for daily use. Dashboards and the mobile app fit existing workflows, and training is available.

Where do I start a conversation?

Use any Request a Demo, Request a Quote, or Book a 30-Min Call button and we will reply with a scoped proposal.

Aircraft Turnaround Control Solution

AI-Powered Turnaround Optimization For Airlines & Airports

Our platform delivers real-time visibility, predictive intelligence, and operational automation across every phase of aircraft ground handling.

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Aarvexa apron vision analysis

24/7Real-time apron visibility

EOBTPredictive off-block time

SLAAlerts before breach

APRON VISION · GATE G12ON TIME

LIVE

CHOCKS 98%

BAG TRUCK

FUEL TRUCK

CATERING

TUG

Chocks on detected

PREDICTED EOBT

14:32On schedule

EVENT LOG

Chocks on

TURNAROUND PROGRESS0/45 min

Chocks on

Deboarding

Bags unload

Fueling

Catering

Boarding

Pushback

SLA STATUStracking…

GateG12

Delay risklow

Idle assets−18%

Computer vision · live apron feed

The challenge

The Challenge: Turnaround Delays Cost Airlines Millions

Inaccurate EOBT Predictions

Without live visibility into ground activities, EOBT calculations rely on static assumptions. This results in unreliable departure planning, gate conflicts, and inefficient crew utilization.

Reactive Incident Handling

Most operational issues are detected only after delays have already occurred. The lack of predictive alerts forces teams into reactive firefighting instead of proactive control.

Delay Propagation & SLA Breaches

A single missed milestone during turnaround can cascade across aircraft rotations. This leads to widespread network delays, missed connections, and SLA penalties.

Limited Insight into Resource Utilization

Ground equipment and staff usage are often tracked manually or in silos. This causes idle assets, overstaffing during peak hours, and inefficient resource allocation.

Scalability Bottlenecks

As flight volumes increase, manual coordination becomes exponentially more complex. Operational teams struggle to maintain control during peak traffic and disruptions.

Poor Incident Traceability

When delays occur, it's difficult to trace what happened and when. The absence of event-level tracking slows root-cause analysis and corrective action.

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Capabilities

AI-Powered Aircraft Turnaround Control Capabilities

Computer Vision-Based Task Detection

Leverage AI-powered computer vision to automatically detect and timestamp critical turnaround activities from live video feeds. Key milestones such as chocks-on/off, baggage loading, fueling, catering, and pushback are captured without manual input.

AI-Powered Predictive EOBT

Using historical turnaround patterns and real-time ground activity, AI accurately predicts EOBT (Estimated Off-Block Time). This enables proactive decision-making, better gate planning, and improved on-time performance.

Real-Time Monitoring & Alerts

Continuously monitor turnaround progress in real time and detect delays or deviations as they occur. Automated alerts notify teams instantly, enabling corrective action before SLAs or schedules are impacted.

Task Detection & Verification

Automatically verify that each turnaround task is completed correctly and in sequence using AI-driven validation. Exceptions, skipped steps, or abnormal task durations are flagged for immediate review.

Centralized Operational Dashboards

A centralized dashboard provides a real-time view of all aircraft turnarounds, milestones, delays, and risks. Operations teams gain shared visibility across airlines, airports, and ground handlers.

Mobile App for Ramp Agents

A mobile-first interface enables ramp agents to receive alerts, update task status, and communicate issues in real time. This bridges the gap between apron operations and control centers.

Data Analytics & Operational Insights

Advanced analytics provide insights into turnaround performance, delay drivers, and operational bottlenecks. Historical trends support continuous improvement, audits, and data-driven planning.

Resource Optimization

AI-driven optimization helps allocate ground staff, equipment, and gates more efficiently. This reduces idle time, avoids overstaffing, and improves utilization during peak operations.

SLA-Based Compliance Tracking

Track turnaround performance against defined SLAs and service benchmarks automatically. Real-time and historical reporting improves accountability and reduces contractual disputes.

Seamless System Integrations

Seamlessly integrate with airport, airline, and ground handling systems, including AODB, OCC, scheduling, and A-CDM platforms. Open APIs ensure smooth data exchange without disrupting existing workflows.

Can't Find Your Turnaround Use Case?

Let's design a custom AI-powered turnaround solution aligned with your aircraft, ground operations, and performance goals.

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Custom turnaround AI · designed around your operation

Benefits

Benefits Of Using AI-Powered Aircraft Turnaround System

Real-Time Operational Visibility

Live dashboards and AI event detection provide a single, real-time view of turnaround progress across all teams.

Automated SLA Alerts & Task Compliance

Turnaround tasks are continuously tracked against SLAs, with instant alerts for delays or missed steps.

Predictive ETAs & EOBT Forecasting

AI predicts ETAs and EOBT using real-time activity and historical data to improve planning and reduce conflicts.

Smarter Resource Optimization

Crews, equipment, and gates are dynamically allocated based on live turnaround status, improving efficiency.

Actionable Performance Insights

AI uncovers delay drivers and bottlenecks, enabling continuous improvement through data-driven decisions.

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Why Aarvexa

Why Choose Aarvexa AI For Aviation?

Aviation Operations Understanding

Solution planning considers airport workflows, airline operations, ground handling, aircraft turnaround activities, passenger movement, safety requirements, and operational reporting.

Customized AI Solutions

Models, integrations, dashboards, and workflows are designed around specific aviation use cases, available data, existing systems, and operational requirements.

End-to-End AI Engineering

Delivery combines AI engineering, computer vision, data engineering, application development, cloud deployment, system integration, and user experience design.

Production-Ready Deployment

Monitoring, access controls, human review, exception handling, and model improvement are planned to support reliable aviation operations after deployment.

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FAQ

Frequently Asked Questions

Straight answers on aircraft turnaround control: EOBT, vision detection, integration, and results.

It is an AI platform that gives airlines and airports real-time visibility and prediction across every phase of ground handling, from chocks-on to pushback.

EOBT is the Estimated Off-Block Time. Accurate predictions improve departure planning, gate allocation, and crew utilization, which raises on-time performance.

Airlines, airports, and ground handlers who want shared visibility and proactive control over aircraft turnarounds.

AI analyzes live apron video to detect and timestamp milestones such as chocks-on/off, baggage loading, fueling, catering, and pushback without manual input.

Use the Request a Demo button. We review your operation, data, and goals, then propose a focused first use case.