E-commerce/Asia Node

Multi-lingual Support Automation

Strategic Mission

Automate 80% of cross-border customer inquiries while maintaining native-level conversational nuance across 15+ Asian languages.

The Challenge

A leading Pan-Asian e-commerce platform faced exponential growth, but their human support team couldn't scale. Outsourcing led to quality drops in complex languages like Japanese and Thai, while traditional chatbots failed to understand regional slang and intent.

The Engineering

We deployed a high-performance RAG (Retrieval-Augmented Generation) agent using a custom embedding model optimized for Asian character sets. The agent integrates directly with their CRM to provide personalized, real-time order status and troubleshooting.

Technical Stack & Infrastructure

Multi-modal LLM Chain (GPT-4o & Claude 3.5)

Vector Database (Pinecone) with multi-language character indexing

Custom intent classification layer for regional slang

Real-time CRM integration via secure REST API

Verified Performance Delta

82% reduction in initial ticket volume

Average response time dropped from 4 hours to 1.5 seconds

Customer satisfaction (CSAT) score increased from 3.8 to 4.7/5

Supported 18 languages natively

Solution Inquiry

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Deployment Active

V1.4.2