Thai Airways rolls out AI predictive maintenance and defect detection, with few details published
Thai Airways is rolling out AI tools that forecast when aircraft parts need servicing and detect defects, using live fleet data at Bangkok (BKK). It has also chosen AAR's Trax and Aerostrat software, which include AI planning tools. The airline has named no AI system and published no results.
The operating picture
Maintenance first
Thai Airways International Boeing 747-4D7 HS-TGX MUC 2015 08. Photograph: Julian Herzog (Website) / CC BY 4.0 (cropped to fit). Illustrates the airline, not an AI deployment.
Thai Airways is modernising its maintenance systems, with AI in both daily maintenance work and planning years ahead.
Its loyalty programme, Royal Orchid Plus, is moving to IBS Software's iLoyal platform; that record appears in the wider register.
Selected implementations
The work behind the evidence
01 / Deployed · limited scope
Predicting when parts need attention
The operational problem
Unplanned component failures ground aircraft and disrupt the schedule, while servicing parts too early wastes money.
What the evidence reports
A corporate piece published by The Nation on 25 June 2026 describes Thai Airways using AI logistics systems that monitor fleet performance in real time at Suvarnabhumi (BKK), predictive maintenance that forecasts when parts need servicing, and automated defect detection models combined with live fleet data. It describes the work as being rolled out and claims fewer delays, lower maintenance costs and better turnaround times.
Operational significance
Predictive maintenance is one of the most established airline uses of AI, and its value shows up directly in aircraft availability.
Evidence still needed
The source is a corporate piece. It names no system or supplier, gives no figures for the benefits it claims, and does not separate what is live from what is planned.
A source can verify an announcement without verifying its projected outcome.
02 / Contracted
New maintenance software with AI planning tools
The operational problem
Heavy maintenance must be forecast years ahead, and engineers resolving defects need the right information quickly.
What the evidence reports
AAR said on 5 January 2026 that Thai Airways had selected Trax's eMRO maintenance system, hosted in the cloud, and mobile apps, and Aerostrat's Aerros software for maintenance forecasting years ahead. The airline will deploy what AAR calls "proprietary Trax and Aerostrat artificial intelligence powered solutions" for advanced planning, workflow automation and help with resolving defects. Cherdphan Chotikhun, chief of technical, said the applications would help the airline "establish a state-of-the-art MRO operation that meets global standards".
Operational significance
The selection names the software and the tasks the AI will support, which the corporate account of predictive maintenance does not.
Evidence still needed
This is a selection with no launch date, and the AI tools are described only in outline.
A source can verify an announcement without verifying its projected outcome.
The wider register
Other tracked activity
Other records are shown separately, including non-AI technology and programmes at different stages of deployment. A register entry does not establish a measured AI benefit.
IBS Software iLoyal platform for Thai Airways Royal Orchid Plus · Contracted
Thai Airways selected IBS Software's iLoyal platform for Royal Orchid Plus, IBS Software said on 28 October 2025.
A source can verify an announcement without verifying its projected outcome.
Editorial assessment
Thai Airways' AI is aimed at maintenance, with a vendor programme under way and corporate claims of benefits.
Named systems and measured results, from the airline or its suppliers, are needed before this can be judged.
Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.
Aerostack register · 3 tracked deployments
Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.
