Cross-border e-commerce multilingual desk

1. Project Overview

Customer type

Multinational Chain retail & e-commerce brands

Project duration

10–16 weeks

Tech stack

Multimodal backbone · RPA / workflow · Vision / OCR · Speech / ASR-TTS

Deployment

Hybrid cloud

2. Business Context & Pain Points

The customer is a Global / Multinational player in Retail, with the core pain concentrated in "Service & CX". Manual workflows and point tools could not scale or stay consistent, driving up response time, operating cost and compliance risk. This project delivered an end-to-end AI upgrade for that workflow.

3. Solution

Anchored on "Native Multimodal Unified Foundation", Global AI DAO integrated the following capability stack into a single solution:

• Multimodal backbone —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
• RPA / workflow —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
• Vision / OCR —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
• Speech / ASR-TTS —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
• Deployment: Hybrid cloud, balancing data compliance, performance SLA and operability.

4. Quantified Outcomes (Before vs After)

Source metric: -68% first-response time, 3.2× per-agent throughput.

5. Specs & Fit