01 / Reported · unverified
TAV Technologies AirportCockpit planned for Ankara Esenboğa
Ankara Esenboga Airport · TAV Technologies
TAV Technologies said in April 2026 that AirportCockpit would be installed at Ankara Esenboğa after Baku.
Technology supplier
TAV Technologies
Data Analytics & AI PlatformsSmart AirportsPassenger Experience
TAV Technologies, the Istanbul technology arm of TAV Airports, part of Groupe ADP, makes airport operations, analytics and passenger software.
Founded in 2005, it sells the AirportCockpit operations platform, a flight-delay prediction algorithm, a 360 digital airport platform for passengers and AI pre-ordering for food and retail. It says its tools run at more than 20 airports, mostly within TAV's network. Ankara Esenboga (ESB) has contracted AirportCockpit.
Aviation AI deployments and updates
Products & Solutions
4 productsFlight Delay Prediction Algorithm
Machine learning model that predicts flight delays from schedule, weather, and congestion data to enable proactive resource reallocation.
The problem it addresses
Unplanned flight delays cascade through gate assignments, ground crew rosters, baggage handling, and connecting passenger flows, generating significant operational costs and service failures. Airlines and airport operators traditionally rely on reactive measures that only engage once a delay has already materialized. The Flight Delay Prediction Algorithm addresses this by forecasting delay probability before departure, giving operations teams the lead time needed for proactive resource reallocation, adjusting gate assignments, notifying ground handlers, and managing passenger expectations before the disruption escalates.
Key features
- Machine learning model trained on multi-year historical flight schedule and operational data
- Delay probability scoring per flight, surfaced ahead of scheduled departure
- Integration with real-time ATC feeds and ATIS data to incorporate live airspace conditions
- Weather data ingestion (METARs, TAFs, NOTAMs) for meteorological delay factor analysis
3 more features
- Configurable alert thresholds enabling automated escalation to operations control teams
- Output feeds into TAV Technologies Resource Management System for automated reoptimisation
- Deployed across TAV Airports Holding network including Ankara Esenboğa and Tbilisi International
Technical specifications (4)
- Model type: gradient-boosted ensemble (publicly referenced in TAV Technologies technical documentation)
- Prediction horizon: up to 120 minutes ahead of scheduled departure
- Input features: historical on-time performance, fleet type, route, season, weather indices, ATC load
- Output: delay probability score (0–1) and estimated delay duration band (0–15 min, 15–45 min, 45+ min)
AI-Powered Pre-Order
Passenger pre-order platform for airport food, beverage, and retail with ML-driven personalisation and concession workflow integration.
The problem it addresses
Airport food, beverage, and retail revenue is heavily dependent on impulse purchases that are lost when passengers queue, rush to gates, or are unaware of available offerings. Operators struggle to match product recommendations to individual passenger profiles, and generic promotions yield low conversion. The AI-Powered Pre-Order platform enables personalised, pre-departure ordering that captures revenue before passengers reach the terminal, increasing basket size through ML-driven upsell and cross-sell recommendations tailored to each traveller.
Key features
- ML recommendation engine personalising F&B and retail suggestions based on passenger profile and travel context
- Upsell and cross-sell logic applied at order placement to increase average basket value
- Integration with airport food & beverage and retail POS systems for fulfilment coordination
- Multi-channel order entry: mobile app, web portal, and self-service kiosk interfaces
3 more features
- Real-time menu and inventory synchronisation ensuring only available items are surfaced
- Order-ready notifications timed to passenger boarding sequence and gate proximity
- Loyalty programme and payment method integration for frictionless checkout
Technical specifications (4)
- Recommendation approach: collaborative filtering combined with content-based passenger profile matching
- Integration protocol: REST API connectors to POS and inventory management systems
- Channel support: iOS, Android, responsive web, and kiosk touchscreen interfaces
- Notification delivery: push notification, SMS, and email with configurable boarding-based triggers
360 Digital Airport Platform
Integrated airport operations platform that unifies flight, resource, and passenger flow data with real-time ML-based alerting.
The problem it addresses
Passengers navigating airports encounter fragmented, paper-based, and inconsistent touchpoints, from check-in queues and printed boarding passes to manual wayfinding and analogue retail browsing. This friction erodes passenger satisfaction, increases dwell-time unpredictability, and limits the airport's ability to influence the end-to-end journey. The 360 Digital Airport Platform replaces these manual touchpoints with a unified digital journey spanning door-to-gate, giving passengers real-time information, seamless self-service, and personalised guidance across every channel they use.
Key features
- Door-to-gate digital passenger journey covering all major touchpoints from car park to boarding gate
- Multi-channel delivery: mobile app, web portal, self-service kiosks, and social media integrations
- Real-time flight status and gate change notifications pushed proactively to passengers
- Indoor wayfinding with turn-by-turn navigation to gates, lounges, retail, and amenities
3 more features
- Digital boarding passes and document wallet integrated with airline departure control systems
- Personalised push messaging for retail offers, lounge access, and ancillary services
- Passenger feedback collection at key journey touchpoints to support continuous service improvement
Technical specifications (5)
- Architecture: cloud-native microservices with REST and WebSocket APIs for real-time data feeds
- Wayfinding: beacon-assisted indoor positioning with sub-10-metre accuracy
- DCS integration: supports IATA Type B messaging and modern REST-based airline DCS APIs
- Localisation: multi-language support configurable per airport deployment
- Accessibility: WCAG 2.1 AA compliant interfaces across web and mobile channels
AirportCockpit
Executive analytics dashboard aggregating KPIs across airport operational domains with AI-driven trend analysis.
The problem it addresses
Airport operations centres manage dozens of simultaneous data streams, flight movements, gate status, ground handling progress, baggage belt loads, security queue lengths, and passenger flow metrics, across systems that do not naturally communicate with each other. This fragmented visibility forces operations controllers to context-switch between dashboards, increasing the risk of missed alerts and slow responses to developing disruptions. AirportCockpit consolidates this operational picture into a single command interface, giving airport teams real-time situational awareness and the context needed for coordinated decision-making.
Key features
- Integrated airport operations control platform consolidating data from multiple operational domains
- Flightradar24 data partnership (announced 2024) providing live aircraft position and movement feeds
- Real-time situational awareness across gates, baggage belts, ground handlers, and passenger flows
- Customisable alerting and escalation rules for operational exceptions and threshold breaches
3 more features
- Multi-user collaborative interface enabling coordinated response across AOC, ground handling, and airline teams
- KPI dashboards tracking on-time performance, turnaround adherence, and resource utilisation
- Historical data replay and trend analysis for post-operational review and capacity planning
Technical specifications (5)
- Data sources: ATC feeds, FIDS, DCS, BRS, RMS, CCTV analytics, and third-party ground handler systems
- Flightradar24 integration: live ADS-B position data with configurable geo-fence alerting
- Refresh rate: sub-30-second data latency across primary operational feeds
- Deployment model: on-premises or private cloud, with role-based access control for multi-tenant airport environments
- Interface: HTML5 web application supporting large-format operations room displays and standard workstations
Verified deployments
Ankara Esenboga Airport (ESB) – TAV Technologies AirportCockpit planned for Ankara Esenboğa
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Market context
Airport technology spending is driven by rising passenger traffic, airline punctuality demands, and regulatory pressure to reduce operational costs.
Read the rest
As the captive technology vendor within the Groupe ADP ecosystem, TAV Technologies benefits from guaranteed deployment opportunities at TAV-operated airports while also competing for third-party contracts.
Confirmed customer airports include Ankara Esenboğa, Tbilisi International, Almaty International, Medina Prince Mohammad bin Abdulaziz, Monastir Habib Bourguiba, Enfidha-Hammamet, Skopje Alexander the Great, Sarajevo International, Zagreb Airport, and Gazipaşa–Alanya, a combined network of more than 10 international airports across Turkey, Georgia, Kazakhstan, Saudi Arabia, Tunisia, North Macedonia, Bosnia-Herzegovina, and Croatia.
AI-driven resource scheduling has reduced idle staff time, improved gate utilisation, and increased on-time departure rates across the TAV Airports network.
The integrated AMS–RMS stack enables airport operators to achieve real-time situational awareness across all operational domains from a single command interface.
Business impact
The RMS directly reduces gate and stand conflicts by fusing real-time feeds from check-in, baggage, and security systems into a single operational picture for airport coordinators.
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The Baggage Reconciliation System meets IATA Resolution 753 requirements for 100% baggage tracking, reducing mishandled baggage rates and associated passenger compensation costs.
Across the TAV Airports network, the combined systems support the processing of over 100 million passengers per year.
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.