Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
A commercial airline managing a digital booking platform to help prospective travelers discover and plan flights.
Guests spent an average of 40 hours researching trips, often feeling overwhelmed by standard, analytical search interfaces. Because the existing...
“We realized that dreaming about and discovering all-new travel destinations isn’t an analytical problem. It’s one of passion that must take personal preferences and emotional desires into account.”
Major commercial airline for domestic and international passenger air travel.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Alaska Airlines's Travel search is part of this use case:
Related implementations across industries and use cases
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
A commercial airline managing a digital booking platform to help prospective travelers discover and plan flights.
Guests spent an average of 40 hours researching trips, often feeling overwhelmed by standard, analytical search interfaces. Because the existing...
“We realized that dreaming about and discovering all-new travel destinations isn’t an analytical problem. It’s one of passion that must take personal preferences and emotional desires into account.”
Major commercial airline for domestic and international passenger air travel.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Alaska Airlines's Travel search is part of this use case:
Related implementations across industries and use cases
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
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.