Airport Operations Management Software buyer guide
Review the wider capability model, products, evaluation criteria and procurement questions for this category.
Use predictive information such as arrival, delay or turnaround forecasts in operational decisions.
Recorded product facts are shown separately from buyer-specific recommendation scores. “Not yet verified” means evidence is incomplete; it does not mean the product lacks the capability.
| Product | Status | Confidence | Implementation | Evidence | Limitations / notes | Last verified |
|---|---|---|---|---|---|---|
CA Collins ARINC AirPlan Collins Aerospace | Supported | 100% | Not recorded | 1 source | AirPlan integrates FlightAware Foresight machine-learning predictions for aircraft gate/runway arrival times and taxi-out duration. | Sep 22, 2026 |
| Supported | 99% | Not recorded | 2 sources | Veovo Resource Management consumes predicted flight delays and the broader platform predicts operational events including off-block times. Exact prediction targets vary by module and data availability. | Sep 22, 2026 | |
| Partially Supported | 98% | Not recorded | 1 source | 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. | Sep 22, 2026 | |
PA | Partially Supported | 98% | Not recorded | 1 source | PDC A-CDM shares estimated landing and off-block times to support more predictable operations. The reviewed source does not establish a dedicated predictive/ML arrival or delay engine. | Sep 22, 2026 |
RI RESA INFOPAX RESA | Not Yet Verified | 0% | Not recorded | 0 sources | No limitation recorded. | Not recorded |
SA | Not Yet Verified | 0% | Not recorded | 0 sources | No limitation recorded. | Not recorded |
Use this capability as one requirement inside the wider category evidence model. The links below are research and comparison paths, not a product recommendation.
Review the wider capability model, products, evaluation criteria and procurement questions for this category.
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Supported, conditional, unknown and not-supported states are kept distinct so missing evidence is not treated as a negative fact.
Confidence reflects the strength of the recorded evidence for this capability, not overall product quality.
A product can strongly support this capability and still be a poor overall fit due to deployment, integrations, security, region, budget or other must-haves.
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