Higher Efficiency in Airline Customer Service Through Chatbots
summary
Cathay Pacific deploys chatbots that handle FAQs (check‑in, change booking, baggage, loyalty), integrate with booking engine and CRM, and run on an off‑the‑shelf NLP plus middleware connecting legacy systems and channel APIs. The bots deflect 40–60% of chats, shifting costly phone calls into lower‑cost messaging on WeChat/WhatsApp/KakaoTalk/Line, improve agent focus on complex cases, and surface conversational data for analytics—currently exported and eyeballed, with voice support planned next.
AI-written summary · about
chapters (11)
- 0:00Introduction and welcome
- 1:43Cathay Pacific overview
- 3:07Conversational platforms scope
- 7:38Chatbot strategy and automation
- 11:48Journey in conversational design
- 13:53Industry goals and ROI
- 15:15Voice vs text chat plans
- 16:41Channel shift to messaging
- 18:27Social media customer service
- 20:12Career advice in conversational tech
- 23:26Closing and future outlook
related talks
54mBuilding advanced ChatBots
54mKlaviyo Customer Agent: Building Bi-Directional Conversational Commerce at Scale
30mChanging the world of travel with Angular and measuring...
31mFireside Chat: The Big Digital Push: Committing to the Cloud in the Finance Industry
59mArchitecting Microservices for Agentic AI Integration
40mLoosely Coupled - Micro-Frontends And Capital One’s Contact Centers
49mWhat to Do If You Need to Process a Billion Chaotic Tasks per Day in PHP
32mBuilding Scalable AI-Powered Platforms
