Amadeus Airport Operational Data Base (AODB) is listed by TechSelectAI in Airport Operations Management Software. TechSelectAI currently records 35 supported capabilities, 12 conditional capabilities, 33 unknown or not-yet-verified capabilities, and 0 not-supported capabilities. Average confidence across known capability facts is 99%. Latest recorded review or verification activity: Sep 22, 2026.
35 Supported12 Conditional33 Unknown / not yet verified0 Not supported99% known-fact confidenceUpdated Sep 22, 2026
This summary reflects recorded TechSelectAI evidence only. It is separate from buyer-specific Fit Score, Evidence Confidence, TechSelectAI Verified Reviews and Public Review Intelligence. Unknown means not yet verified, not unsupported.
Product data freshness: Current · Last reviewed Sep 22, 2026. Vendor-provided facts, reviewed evidence, community-derived insights, and TechSelectAI analysis are kept as separate evidence classes. Methodology.
Vendor
Amadeus
Research coverage
59%
Known capability facts
47 / 80
Supported
35
Evidence confidence
99%
Last reviewed
Sep 22, 2026
Research status
Evidence depth
Research coverage is not a product score. It measures how much of TechSelectAI's current capability model has an evidenced status for this product. A research-pending fact may still be supported by the product; TechSelectAI has not yet established enough evidence to classify it.
47 of 80 facts known
35 supported12 conditional33 research pending0 explicitly unsupported8 verified sources
A structured summary from the TechSelectAI knowledge base. Product fit depends on your specific requirements, deployment model, integrations and commercial constraints.
8 verified sources · 47 of 80 capability facts have an evidenced status · 33 remain research pending.
Buyer evaluation guide
Use the recorded evidence below to plan a product demo or RFP discussion. This section does not rank Amadeus Airport Operational Data Base (AODB) or infer unsupported capabilities; it turns verified facts, conditions and research gaps into questions a buyer can validate.
Delay / disruption cause analytics: Amadeus currently documents Garv, an AI agent for airport operations teams, as analyzing operational data, identifying outliers, explaining reasons behind unusual patterns and supporting root-cause analysis. This establishes delay/disruption cause-analysis capability in the related airport-operations analytics/agent layer, but the public source does not establish that this is a base-AODB feature or a complete historical taxonomy of recorded delay causes.
Predictive arrival / delay information: Amadeus documents turnaround prediction and predictive airport analytics, but the reviewed AODB source does not explicitly establish a dedicated ETA or delay-prediction capability across all flights.
Irregular flight handling: The A-CDM portal highlights operational irregularities and supports rapid collaborative response, but the reviewed page does not establish every irregular-flight state or lifecycle field in the core AODB.
Resource-change notifications: Virtual APOC provides event-driven alerts that prompt stakeholders to act. The reviewed source does not state that every resource assignment change automatically generates a dedicated notification.
33 capability facts remain research pending and should be confirmed during evaluation.
Questions to take to the vendor
Request current written pricing and edition terms; TechSelectAI does not currently have verified public pricing for this product.
Resolve the 33 research-pending capability facts that could matter to your requirements.
Guidance is assembled from the same recorded TechSelectAI evidence shown on this page. Unknown means not yet verified, not unsupported. Buyer-specific Fit Score remains separate.
Capabilities
Capabilities are grouped by business area. “Not yet verified” is a research-pending state: evidence is incomplete, and it is not the same as “not supported”.
Delay / disruption cause analyticsAmadeus currently documents Garv, an AI agent for airport operations teams, as analyzing operational data, identifying outliers, explaining reasons behind unusual patterns and supporting root-cause analysis. This establishes delay/disruption cause-analysis capability in the related airport-operations analytics/agent layer, but the public source does not establish that this is a base-AODB feature or a complete historical taxonomy of recorded delay causes.
Partially Supported
99%confidence
Historical trend analysisAmadeus Airport Insights explicitly collects and analyzes reports over time to detect trends for operational planning and resource prioritization, and explicitly uses historical data with machine learning to refine planning decisions. This capability belongs to the related Airport Insights product rather than the base AODB alone.
Supported
100%confidence
Machine-learning operational predictionsAirport Insights combines pre-integrated data streams with machine learning and predictive analytics, and Virtual APOC uses Azure Machine Learning for operational plan simulation. These are related Amadeus airport-operations modules rather than the AODB core alone.
Supported
99%confidence
On-time performance KPIsMeasure airport or flight on-time-performance indicators from operational data.
Not Yet Verified
0%confidence
Operational KPI analyticsAmadeus AODB includes an operations dashboard for live performance analysis, while F-RMS uses multiple weighted KPIs to optimize resource plans.
Supported
100%confidence
Predictive arrival / delay informationAmadeus documents turnaround prediction and predictive airport analytics, but the reviewed AODB source does not explicitly establish a dedicated ETA or delay-prediction capability across all flights.
Partially Supported
98%confidence
Resource utilization analyticsAirport Insights explicitly analyzes infrastructure asset usage by day and time to optimize airport resources and flight turnarounds. This capability belongs to the related Airport Insights product.
Supported
99%confidence
Structured data exportExport operational, analytical or reference data in documented structured formats.
Not Yet Verified
0%confidence
What-if / scenario analysisVirtual APOC explicitly uses simulation models and machine learning to assess potential operational plans before stakeholders act.
Supported
100%confidence
AODB & Flight Data Core
Airport operational reference dataMaintain airport operational reference data such as airlines, aircraft types, locations, resources or service definitions.
Not Yet Verified
0%confidence
Central AODB flight recordAmadeus AODB is the central airport operational database and is described as operating at the heart of airport decision-making. Exact airport-specific data fields depend on configuration.
Supported
100%confidence
Historical flight dataRetain historical operational flight records for analysis, audit or planning.
Not Yet Verified
0%confidence
Irregular flight handlingThe A-CDM portal highlights operational irregularities and supports rapid collaborative response, but the reviewed page does not establish every irregular-flight state or lifecycle field in the core AODB.
Partially Supported
99%confidence
Linked arrival / departure turnsLink related arrival and departure flight legs into operational turns or rotations where supported.
Not Yet Verified
0%confidence
Multi-source flight consolidationAmadeus documents data aggregation from multiple sources and a unified operational database used for shared situational awareness.
Supported
100%confidence
Operational flight timestampsMaintain planned, estimated, actual and other operational timestamps against flight records.
Not Yet Verified
0%confidence
Real-time flight updatesAmadeus AODB automatically receives live flight updates and shares real-time flight database updates across connected operations.
Seasonal flight schedulesAmadeus AODB holds airline schedules up to 365 days in advance and is explicitly positioned for long-range airport planning.
Supported
100%confidence
Day-of-Operations Control
Alerts / exception visibilityThe A-CDM portal highlights irregularities and active issues, while Virtual APOC provides event-driven alerts for operational response.
Supported
100%confidence
Drag-and-drop / manual overrideAllow authorized operators to manually change resource assignments through an operational user interface.
Not Yet Verified
0%confidence
Live resource availability viewF-RMS provides a complete operational view of fixed airport resources and current assignment plans. The exact real-time refresh behavior depends on connected AODB data and implementation.
Supported
99%confidence
Operational dashboard / common pictureThe AODB operations dashboard provides a high-level overview of current airport performance, parameters and ongoing operational issues.
Supported
100%confidence
Real-time resource reallocationAmadeus Virtual APOC is designed to help airports react to disruption and reallocate resources such as stands and gates using a shared operational plan. This capability is associated with the Virtual APOC layer rather than AODB alone.
Supported
99%confidence
Reallocation recommendationsVirtual APOC provides decision support and event-driven prompts that help stakeholders act on recommendations during operational disruption. The exact recommendation algorithm is not public.
Supported
99%confidence
Resource conflict detectionThe F-RMS Gantt view is explicitly used to understand resource assignments and take rapid action to avoid conflicts. The source does not define every conflict-detection rule.
Resource-change notificationsVirtual APOC provides event-driven alerts that prompt stakeholders to act. The reviewed source does not state that every resource assignment change automatically generates a dedicated notification.
Partially Supported
98%confidence
Stakeholder resource-plan sharingVirtual APOC provides a shared environment and common operational plan for airport stakeholders to collaborate during day-to-day operations and disruption.
Supported
99%confidence
Deployment & Resilience
Backup / restoreProvide documented backup and restoration capabilities for operational data or services.
Not Yet Verified
0%confidence
Cloud deploymentThe current Amadeus AODB product page explicitly states that AODB is cloud-hosted and accessible through an internet connection.
High-volume scalabilityAmadeus describes its airport operations solutions as modular and scalable and positions its cloud platform for airports of different sizes. The reviewed sources do not provide a specific flight-volume, user or transaction benchmark for AODB.
Automatic resource allocation engineAmadeus F-RMS automatically generates optimized resource-allocation plans from configured business rules and KPI objectives.
Supported
100%confidence
Baggage belt / reclaim allocationAmadeus F-RMS explicitly optimizes baggage-arrival belt allocations. This capability is bounded to the related F-RMS module.
Check-in counter allocationAmadeus F-RMS explicitly optimizes check-in counter allocations. This is a related resource-management module capability rather than a claim about the AODB core alone.
Supported
100%confidence
Long-term capacity planningAODB provides one year of schedule visibility and turnaround prediction for long-term capacity assessment; F-RMS provides a 12-month seasonal planning view.
Supported
100%confidence
Resource dependency rulesF-RMS documents configurable business rules and weighted KPIs for resource optimization. The reviewed source does not enumerate every compatibility/dependency rule type represented by this TechSelectAI criterion.
Partially Supported
99%confidence
Resource utilization forecastingAmadeus AODB uses long-term passenger and traffic visibility to understand future resource requirements, while F-RMS supports 12-month planning. The reviewed material does not establish a standalone resource-utilization forecasting model for every asset type.
Partially Supported
99%confidence
Stand / gate allocationAmadeus F-RMS explicitly optimizes allocation of stands and gates using configurable business rules and weighted KPIs. This capability belongs to the related F-RMS module, not the base AODB alone.
Supported
100%confidence
Integration & Data Quality
AIDX messagingExchange airport/airline operational flight information using documented AIDX messages or interfaces.
Not Yet Verified
0%confidence
API / airport-system integrationAmadeus states that AODB integrates resource, flight and sequence-management applications and airport systems. The reviewed source does not establish a public general-purpose API surface for every integration.
Partially Supported
99%confidence
ATC / radar integrationAmadeus explicitly states that the real-time A-CDM airfield view tracks aircraft positions using radar integration and consolidated flight data.
Event / operational data publishingAODB distributes and shares real-time flight database updates across airport operations and multiple airports. The reviewed source does not establish every event-publishing protocol or subscription model.
Partially Supported
99%confidence
External operational data feedsAODB automatically receives live flight information and consolidates operational inputs from multiple sources.
Supported
100%confidence
IATA Type B messagingReceive, process or distribute documented IATA Type B operational messages.
Not Yet Verified
0%confidence
Source priority / data-quality controlAmadeus AODB explicitly provides data aggregation and source priority, selecting the most valuable source by data type to improve accuracy.
Supported
100%confidence
Weather integrationIngest or expose weather information for airport operational awareness or planning.
Not Yet Verified
0%confidence
Platform & Governance
API access controlControl API or integration access through documented credentials, permissions or security policies.
Configurable notificationsVirtual APOC documents event-driven alerts. The reviewed public source does not establish the full configurability of alert rules, recipients and thresholds.
Partially Supported
98%confidence
Configurable workflowsAmadeus F-RMS explicitly optimizes airport resource plans using customized business rules, weighted KPIs and automated planning, allowing airport-specific rules and objectives to drive operational resource workflows. This capability belongs to the related F-RMS module and does not imply a general-purpose low-code workflow builder in the base AODB.
Mobile / responsive web accessAmadeus AODB can be monitored from laptop, phone or tablet through the mobile application and cloud access model.
Supported
100%confidence
Multi-airport operationsAmadeus AODB explicitly works across multiple airports simultaneously and shares flight database updates station-to-station in real time.
Supported
100%confidence
Organization / stakeholder permissionsActivity-allocation rules provide role/responsibility-based access for ground handlers. The reviewed source does not establish the full organization/tenant permission model for every stakeholder type.
Partially Supported
99%confidence
Role-based access controlControl operational functions and views by documented user or stakeholder role.
Controlled stakeholder accessAmadeus A-CDM Airport Portal explicitly allows controlled access for ground handlers based on duties, roles and responsibilities.
Supported
100%confidence
Handler / agent mobile inputThe AODB mobile application allows agents to see assigned flights/tasks and input completion times from their devices, synchronized back to AODB.
Supported
100%confidence
Milestone predictionAmadeus AODB explicitly predicts turnarounds from the point flight schedules are received. The reviewed source does not establish prediction for every individual A-CDM milestone.
Supported
99%confidence
Pre-departure sequencingSupport departure sequencing or sequencing-related decision support before aircraft off-block.
Not Yet Verified
0%confidence
Target Off-Block Time (TOBT)Amadeus Airport Sequence Manager explicitly provides real-time visibility of Target Off-Block Time (TOBT) supplied by airlines as part of its A-CDM-compliant pre-departure workflow. The source establishes TOBT handling in the related Sequence Manager component, not automatic TOBT calculation by the base AODB.
Supported
100%confidence
Target Start-Up Approval Time (TSAT)Amadeus Airport Sequence Manager explicitly and automatically calculates Target Start-Up Approval Time (TSAT) for departing flights using real-time flight and constraint updates. This is a related Amadeus airport-operations component and is not inferred as base-AODB functionality.
Supported
100%confidence
Turnaround milestone trackingThe A-CDM Airport Portal provides aggregated status views of operational activities and the mobile app captures task completion times. The reviewed page does not enumerate every standard turnaround milestone.
TechSelectAI does not currently have verified public pricing for this product. We do not invent pricing; confirm the current commercial offer with the vendor.
Evidence sources
TechSelectAI separates vendor/product facts from recommendation scoring. These sources support the published product data.
No Community Intelligence score currently meets TechSelectAI publication requirements for Amadeus Airport Operational Data Base (AODB).
Status: No public-review connectors have been provisioned for this product yet. The community-review automation worker must run to create and schedule trusted sources.
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TechSelectAI Verified Reviews
Verified customer experience
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