Analysts couldn't review 40-minute calls. A model now mines transcripts for intent, identifying queries self-service can solve.
The UK's largest tour operator and third-largest airline offers package holidays to over 75 destinations while processing thousands of daily customer communications.
Analysts could not manually review thousands of daily calls that often lasted up to 40 minutes, leaving critical data on customer intent and pain...
“I don’t think we could have gone down the LLM route at all without Cortex — not without the costs outweighing the benefits.”
Low-cost airline and package holiday provider for European leisure travel.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Spotting bugs meant manually reviewing every call. AI now transcribes and categorizes issues to find trends, saving agents 300+ hours.
Routine queries tied up 1M annual calls. Now, an AI WhatsApp assistant resolves 50% of chats, routing complex cases to staff.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Product teams couldn't review 50k monthly transcripts. AI now summarizes every ticket, letting them query customer struggles instantly.
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.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Analysts couldn't review 40-minute calls. A model now mines transcripts for intent, identifying queries self-service can solve.
The UK's largest tour operator and third-largest airline offers package holidays to over 75 destinations while processing thousands of daily customer communications.
Analysts could not manually review thousands of daily calls that often lasted up to 40 minutes, leaving critical data on customer intent and pain...
“I don’t think we could have gone down the LLM route at all without Cortex — not without the costs outweighing the benefits.”
Low-cost airline and package holiday provider for European leisure travel.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Spotting bugs meant manually reviewing every call. AI now transcribes and categorizes issues to find trends, saving agents 300+ hours.
Routine queries tied up 1M annual calls. Now, an AI WhatsApp assistant resolves 50% of chats, routing complex cases to staff.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Product teams couldn't review 50k monthly transcripts. AI now summarizes every ticket, letting them query customer struggles instantly.
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.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.