Low-cost airline retailer Atlas has introduced its AI-solution, Athena, which helps tackle one of the industry’s most pressing issues: inconsistent quality of airline data and content.

With its monitoring capabilities and the ability to learn and evolve, Athena is designed to enhance data quality and air content performance, as well as to streamline the distribution of flights. The tool helps Atlas manage air content more effectively by monitoring airline performance across 150 carriers integrated with Atlas’s Air Travel Retailing and Information Platform (ATRIP) and resolving issues automatically in real time.

Atlas’s Athena offers immediate solutions to complex content issues while equipping the industry to handle the fast-evolving tech demands of the future

Athena is one way to apply machine learning and automation to address inconsistent content and data quality, avoid failed or inaccurate bookings, and improve traveller experience while the industry gradually develops and adopts cohesive and better aligned standards.

There are many issues impacting content performance – from scheduled maintenance and outdated technology to coding errors and payment complexities. Athena automates critical processes like monitoring airline API and HTML performance, ticketing quality checks, and data verification.

When content and data quality drops below the threshold, Athena automatically disables affected airlines, reactivating them once performance criteria are met. This proactive quality management helps Atlas’s partners deliver seamless booking experiences and avoid costly disruptions.

Atlas CEO and founder Mary Li said: “In a highly competitive industry where every booking counts, Athena is an example of how AI can provide a ‘here and now’ solution to one of the biggest industry’s pain points and enable sellers to focus on travellers, not troubleshooting.

“Airline retailing remains a hugely complex industry, constrained by legacy tech and uneven speed of technological advancement, with some airlines being quite behind on their tech journey. The scale of data quality and performance challenges in the industry is massive. It is a mammoth task to monitor and manage content from multiple channels – and AI can provide much-anticipated relief for everyone involved in the distribution of flights.”

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