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.
Jet2's Call transcript analysis is part of this use case:
Related implementations across industries and use cases
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
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.
Jet2's Call transcript analysis is part of this use case:
Related implementations across industries and use cases
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.