Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
A Lufthansa Group subsidiary focused on providing seamless digital experiences, where the website search bar is the primary touchpoint for travelers finding flights and destination content.
Data was fragmented across disconnected systems, blocking the team from building AI features that required a unified data layer. Travelers...
“Earlier, our data was siloed and not fully connected, which meant many use cases we were trying to implement simply weren't possible. We needed a unified source of data to move beyond these limitations and start delivering real-time value to our users.”
Low-cost airline operating flights to European and international destinations.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Eurowings's Website search is part of this use case:
Related implementations across industries and use cases
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
127,000 monthly cases across languages and time zones. AI no longer just responds—it modifies bookings, waives fees, without human handoff.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
A Lufthansa Group subsidiary focused on providing seamless digital experiences, where the website search bar is the primary touchpoint for travelers finding flights and destination content.
Data was fragmented across disconnected systems, blocking the team from building AI features that required a unified data layer. Travelers...
“Earlier, our data was siloed and not fully connected, which meant many use cases we were trying to implement simply weren't possible. We needed a unified source of data to move beyond these limitations and start delivering real-time value to our users.”
Low-cost airline operating flights to European and international destinations.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Eurowings's Website search is part of this use case:
Related implementations across industries and use cases
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
127,000 monthly cases across languages and time zones. AI no longer just responds—it modifies bookings, waives fees, without human handoff.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.