Traxo and Otonoma enhance travel disruption management

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Traxo, a leader in corporate travel data, has partnered with Otonoma to provide a comprehensive solution for managing travel disruptions. This collaboration integrates Traxo's real-time booking data with Otonoma's intelligent network, allowing for immediate resolution of travel issues without burdening the traveller. The partnership is set to pilot with select corporate travel programmes before a wider release in the fourth quarter of 2026.

The partnership addresses a significant gap in the travel industry, where 30–40% of corporate bookings occur outside centralised systems, leaving downstream providers unaware of changes. Traxo's AutoDetect technology captures booking confirmations within seconds, feeding them into Otonoma's network, which monitors itineraries for potential problems such as cancelled flights or delays.

Andres Fabris, CEO of Traxo, highlighted the advantage of this integration: “Partnering with Otonoma means the picture doesn’t just sit in a dashboard. The moment a disruption occurs, the right advisers, systems, and agents are already working on the solution.” This ensures that travellers are informed of resolutions rather than left to manage disruptions themselves.

The intelligent network developed by Otonoma coordinates responses using a mix of supplier APIs, human advisers, and AI agents, ensuring the fastest resolution possible. Jim Harding, CEO of Otonoma, stated, “Our intelligent network watches for anything that could cascade into a bigger problem, then pulls together whatever mix of systems, advisers, and AI agents can resolve it fastest.”

This initiative promises to transform the travel experience by providing a seamless, connected journey for corporate travellers, reducing stress and improving efficiency. Existing Traxo clients can activate the Otonoma connection with minimal effort, paving the way for a new era in travel management


This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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Traxo and Otonoma enhance travel disruption management

Traxo, a leader in corporate travel data, has partnered with Otonoma to provide a comprehensive solution for managing travel disruptions. This collaboration integrates Traxo's real-time booking data with Otonoma's intelligent network, allowing for immediate resolution of travel issues without burdening the traveller. The partnership is set to pilot with select corporate travel programmes before a wider release in the fourth quarter of 2026.

The partnership addresses a significant gap in the travel industry, where 30–40% of corporate bookings occur outside centralised systems, leaving downstream providers unaware of changes. Traxo's AutoDetect technology captures booking confirmations within seconds, feeding them into Otonoma's network, which monitors itineraries for potential problems such as cancelled flights or delays.

Andres Fabris, CEO of Traxo, highlighted the advantage of this integration: “Partnering with Otonoma means the picture doesn’t just sit in a dashboard. The moment a disruption occurs, the right advisers, systems, and agents are already working on the solution.” This ensures that travellers are informed of resolutions rather than left to manage disruptions themselves.

The intelligent network developed by Otonoma coordinates responses using a mix of supplier APIs, human advisers, and AI agents, ensuring the fastest resolution possible. Jim Harding, CEO of Otonoma, stated, “Our intelligent network watches for anything that could cascade into a bigger problem, then pulls together whatever mix of systems, advisers, and AI agents can resolve it fastest.”

This initiative promises to transform the travel experience by providing a seamless, connected journey for corporate travellers, reducing stress and improving efficiency. Existing Traxo clients can activate the Otonoma connection with minimal effort, paving the way for a new era in travel management


This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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