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.”
Sabre's Travel booking and service is part of this use case:
Travel technology provider for airlines, hotels, and travel agencies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Related implementations across industries and use cases
Manual audience generation took two weeks. Now, Vertex AI runs 500M daily predictions to identify travelers in under two days.
Regional travelers wouldn't download apps. Now, an AI agent books flights on WhatsApp via voice notes, generating $7.2M revenue.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Agents lost time toggling between fragmented silos. A unified AI layer now connects 100+ systems to resolve inquiries automatically.
Advisors spent 6-8 hours navigating 10+ systems per trip. A custom AI tool unifies the data, saving 3 hours per itinerary.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
Sabre's Travel booking and service is part of this use case:
Travel technology provider for airlines, hotels, and travel agencies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Related implementations across industries and use cases
Manual audience generation took two weeks. Now, Vertex AI runs 500M daily predictions to identify travelers in under two days.
Regional travelers wouldn't download apps. Now, an AI agent books flights on WhatsApp via voice notes, generating $7.2M revenue.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Agents lost time toggling between fragmented silos. A unified AI layer now connects 100+ systems to resolve inquiries automatically.
Advisors spent 6-8 hours navigating 10+ systems per trip. A custom AI tool unifies the data, saving 3 hours per itinerary.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.