Skip to main content
Back to Tracker

Qunar

China Travel & hospitality technology

AI-mediated customer-service training and QA

AI-assisted work Workflow Redesign

Measured outcomesScaled use

Explore this item in the China AI Workforce Transformation hub.

For the concepts behind task, workflow and role changes, use the AI workforce transformation knowledge guide. For individual capability development, explore the AI Fluency framework.

What changed

What changed

AI now mediates customer-service onboarding, live response support and automated quality assurance.

Key results

Key results

New-agent training duration — Training duration reduced from 15 days to 5 days — Before 15 days · After 5 days

2026

Customer-service handling capability — Increased by 16%

2026

How the organization responded

How the organization responded

Organizational response: Entry-Path Redesign

Why it matters

AIGW analysis

The entry pathway into customer-service work is materially shorter and more AI-mediated. Shows AI changing both productive work and the training pathway into that work.

Source

Source & evidence

How we verify evidence

Beijing Municipal Bureau of Economy and Information Technology

AI application case showcase: Qunar customer service

Government or public institution

Government-hosted case material reports AI-mediated training, live response recommendations and automated QA in Qunar customer service.