Official tech channel of AliExpress International Tech Division, showcasing the latest technology developments and innovations in global e‑commerce.
The article analyzes why using a large language model alone as a judge is unreliable for complex AI evaluation, introduces the Agent-as-Judge architecture with sandboxed execution, Skill‑driven workflows, and a three‑layer assessment framework, and discusses its benefits, costs, and practical outcomes.
AliExpress’s testing Skill framework transforms a simple command into an end‑to‑end automated pipeline that generates structured test cases before coding, runs local and cloud‑based verification, constructs domain‑specific data, and produces traceable reports, thereby shifting testing left across the entire development lifecycle.
The article details how the IC product team upgraded their single‑turn, low‑efficiency answer‑bot to a multi‑turn, Skills‑and‑MCP powered intelligent Q&A agent using Spring AI Alibaba, improving knowledge retrieval, reducing response time, and achieving over 80% automated resolution with extensive evaluation metrics.
The article details a multi‑agent AI system that transforms manual short‑video creation for cross‑border e‑commerce PPC campaigns into a deterministic, high‑throughput production line, describing its evolution through three phases, the underlying foundation models, modular agent roles, quality‑control mechanisms, and a self‑improving feedback loop.
The article details how the AliExpress Campaign Engine (ACE) was built from FY25 foundations to FY26’s four‑pillar system—gateway, workbench, standardization, and intelligent AI—using financial‑system analogies to solve duplicated effort, high maintenance costs, and stability risks across multiple e‑commerce business lines.
This article details the development of an AI-powered intelligent Q&A agent for Alibaba's Global Commodity Center, covering the motivation, a three‑stage standardized framework, multi‑agent architectures, evaluation methodology, results, and future directions for scaling and improving the system.
Facing high‑cost, high‑risk coupon operations across 20+ countries, the Rights Agent project replaces manual configuration with a five‑capability AI system—automated execution, intelligent Q&A, effect analysis, strategy generation, and 24/7 monitoring—delivering lower error rates, faster response, and data‑driven optimization.
The article details how Aliexpress built an AI‑driven recruitment agent that combines NL2SQL smart filtering, a dual‑Agent voice interaction framework, low‑latency serverless deployment, and real‑time quality inspection, achieving sub‑second response times and a ten‑percent boost in intent rates.
AliExpress built a Global Experience Platform that uses large‑model AI to ingest, clean, classify and diagnose multilingual user‑voice feedback at scale, achieving 99% classification accuracy, 90% issue‑resolution rate and significant reductions in alert load, database usage and CPU variance.
