Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
A global technology provider managing one of the world's largest travel data clouds with over 50 petabytes of data powering airline networks and agency terminals.
Travel search remained limited by rigid criteria like origin and destination for 30 years, while content was scattered across complex technical...
“People, especially those of the younger generations, get inspiration from social media and other online sources, and they want a more engaging travel planning experience.”
Travel technology provider for airlines, hotels, and travel agencies.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Sabre's Travel booking and service is part of this use case:
Related implementations across industries and use cases
Sourcing stock photos was a 500-hour bottleneck. AI now generates 20,000 custom assets in 80 hours to personalize trips.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Retrieving specific files meant weeks of full server restoration. AI now queries archives to fetch records in seconds.
Updates scattered across Slack overwhelmed 1,000+ agents. Now, custom AI recognizes their platform to surface precise answers.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
A global technology provider managing one of the world's largest travel data clouds with over 50 petabytes of data powering airline networks and agency terminals.
Travel search remained limited by rigid criteria like origin and destination for 30 years, while content was scattered across complex technical...
“People, especially those of the younger generations, get inspiration from social media and other online sources, and they want a more engaging travel planning experience.”
Travel technology provider for airlines, hotels, and travel agencies.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Sabre's Travel booking and service is part of this use case:
Related implementations across industries and use cases
Sourcing stock photos was a 500-hour bottleneck. AI now generates 20,000 custom assets in 80 hours to personalize trips.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Retrieving specific files meant weeks of full server restoration. AI now queries archives to fetch records in seconds.
Updates scattered across Slack overwhelmed 1,000+ agents. Now, custom AI recognizes their platform to surface precise answers.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.