Agoda
Vacation planning
Sourcing stock photos was a 500-hour bottleneck. AI now generates 20,000 custom assets in 80 hours to personalize trips.
- 90% cost savings on image sourcing
- Image sourcing time cut from 500 hours to 80 hours
Filters missed "romantic but cheesy" requests. A 10-week AI prototype now maps conversational intent to real-time inventory.
One of the world's largest travel marketplaces facilitates millions of bookings globally across flights, accommodations, and activities.
Traditional search filters required users to know exactly what they wanted, failing to capture nuanced intent like requests for "heart-shaped beds"...
“When ChatGPT launched in 2022, I got this tingle. It reminded me of the early days of broadband access—this massive opportunity to change how people engage with travel. We knew this could help us finally crack the discovery challenge.”
Booking.com's Travel planning assistant is part of this use case:
Online marketplace for lodging, transportation, and travel experiences.
AI research and deployment company developing generative models and tools.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Advisors spent 6-8 hours navigating 10+ systems per trip. A custom AI tool unifies the data, saving 3 hours per itinerary.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Cold data streams limited engagement. Now, a secure AI turns live telemetry into friendly conversation in 20+ languages.
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.
Filters missed "romantic but cheesy" requests. A 10-week AI prototype now maps conversational intent to real-time inventory.
One of the world's largest travel marketplaces facilitates millions of bookings globally across flights, accommodations, and activities.
Traditional search filters required users to know exactly what they wanted, failing to capture nuanced intent like requests for "heart-shaped beds"...
“When ChatGPT launched in 2022, I got this tingle. It reminded me of the early days of broadband access—this massive opportunity to change how people engage with travel. We knew this could help us finally crack the discovery challenge.”
Booking.com's Travel planning assistant is part of this use case:
Online marketplace for lodging, transportation, and travel experiences.
AI research and deployment company developing generative models and tools.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Advisors spent 6-8 hours navigating 10+ systems per trip. A custom AI tool unifies the data, saving 3 hours per itinerary.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Cold data streams limited engagement. Now, a secure AI turns live telemetry into friendly conversation in 20+ languages.
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.