Inspiration

In the rapidly growing e-commerce industry, businesses often operate across multiple platforms such as Shopee, Lazada, and TikTok Shop. However, most existing customer service systems are either limited to a single platform or rely on basic rule-based bots that cannot understand complex or multilingual customer inquiries.
We were inspired by the challenges faced by Southeast Asian sellers who manage several stores across multiple countries. They often lack technical expertise and have limited time to onboard complex SaaS products.
Our goal with Ginee AI BPO was to simplify AI adoption and unify customer service across multiple e-commerce channels.

What We Learned

Throughout this project, we gained valuable insights into building scalable, multilingual AI systems on AWS Bedrock.

Key learnings include:

  • Integrating Amazon Bedrock models such as Nova Lite and Nova Pro into real-time chat workflows.
  • Designing a self-learning pipeline that automatically extracts knowledge after channel authorization.
  • Managing multilingual communication for Southeast Asian languages, especially Bahasa Indonesia.
  • Simplifying complex AI onboarding into a few-hour self-service flow, without needing manual configuration or technical expertise.

How we built it

The system architecture centers around Generative AI. After a user authorizes their e-commerce stores (Shopee, Lazada, TikTok), our backend automatically:

  1. Syncs product and order data.
  2. Generates embeddings and fine-tunes the knowledge base.
  3. Deploys AI agents for each store with customized tone, language, and role behavior.
  4. Connects both AI and human agents into a shared chat console.

Architecture Overview: Architecture Diagram

The AI layer is powered by a suite of leading models — including Amazon Nova Lite, Nova Pro, ChatGPT-4, and Deepseek — and intelligently orchestrates them based on your specific needs.

Challenges we ran into

Building a unified AI customer service system across multiple e-commerce APIs came with several hurdles:

  • API fragmentation: Each marketplace (Shopee, Lazada, TikTok) has unique message and authentication formats.
  • Multilingual understanding: Handling small languages like Indonesian and Thai required fine-tuned translation pipelines.
  • Latency optimization: Achieving near real-time response speeds while using multiple LLMs was technically challenging.
  • Simplifying onboarding: Many target users are not tech-savvy. Designing a pipeline that allows them to go live within hours, instead of weeks, required extensive UX iteration.

Accomplishments & Next Steps

We successfully built and deployed Ginee AI BPO, enabling sellers to:

  • Manage multi-platform, multi-country buyer messages in one dashboard.
  • Activate AI agents capable of autonomous, multilingual, and context-aware conversations.
  • Complete onboarding and knowledge training within a few hours, rather than weeks.

Next, we plan to:

  • Integrate more LLMs on Amazon Bedrock for cost-performance flexibility.
  • Expand to WhatsApp and Instagram Direct support.

Summary

Ginee AI BPO is more than an AI chatbot — it’s a fully autonomous multilingual customer service solution built for e-commerce businesses in Southeast Asia.
Powered by Generative AI, it combines intelligence, simplicity, and accessibility, helping small sellers scale globally with 24/7 AI support.

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