Jun 18, 2026 · Artificial Intelligence

How Trip.com Cut Multilingual UI QA Costs by 90% with GUI Agent and Multi‑Agent AI

Trip.com built the "慧鉴天工" system that combines a GUI Agent, multi‑agent LQA algorithms, OODA‑loop architecture, and a knowledge‑graph‑enhanced pipeline to automate page collection, multilingual text extraction, and quality inspection across 31 languages, achieving over 90% cost reduction and 70%+ detection accuracy.

GUI AgentLarge Language ModelMulti-Agent

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How Trip.com Cut Multilingual UI QA Costs by 90% with GUI Agent and Multi‑Agent AI

Didi Tech

Jun 4, 2026 · Artificial Intelligence

Designing a Multi‑Language, Multi‑Business LLM‑Powered Customer Service QA System

Didi's International Business Group built an LLM‑driven quality‑inspection platform for Spanish and Portuguese support across ride‑hailing, food delivery, and finance, using three pipelines—intent verification, compliance assessment, and VOC trend analysis—that boosted intent accuracy to 86%, compliance accuracy above 90%, and cut manual reporting time from hours to minutes.

LLMVOC analysiscompliance assessment

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Designing a Multi‑Language, Multi‑Business LLM‑Powered Customer Service QA System