Case Study

Flagship AI Customer Service Bot for E-commerce

How a custom AI agent transformed customer support for a major online retailer.

Flagship AI Customer Service Bot for E-commerce

Client

Major E-commerce Platform

Service

AI Agent Development

Timeline

4 Weeks (Pilot to Launch)

The Challenge

The client, a leading e-commerce platform, was struggling with a high volume of repetitive customer support inquiries. Their support team was overwhelmed with questions about order status, product details, and return policies. This led to slow response times, decreased customer satisfaction, and high operational costs. They needed a solution that could provide instant, accurate answers 24/7 without sacrificing quality.

The Solution

I designed and developed a state-of-the-art, custom chatbot trained on the company's entire product catalog, support documentation, and historical chat logs. The AI agent was built to be a true extension of their team.

  • Real-time Integration: The bot seamlessly integrated with their internal inventory and order management systems to provide up-to-the-minute information on stock levels and shipping status.
  • Advanced Data Ingestion: I created a robust data pipeline to continuously ingest and index product information, FAQs, and support articles into a vector database, ensuring the bot's knowledge was always current.
  • Scalable Cloud Architecture: The entire solution was deployed on a serverless cloud architecture, ensuring it could handle massive traffic spikes during peak shopping seasons without a drop in performance.

Key Results

60%

of all incoming customer queries now handled by the AI bot.

24/7

Instant support availability, improving customer satisfaction.

45%

Reduction in support team workload, freeing them for complex issues.

Tech Stack

Next.js
TypeScript
AI
Genkit
VectorDB
Cloud Run
Tailwind CSS

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