AI & Automation

Intelligent Customer Support System

Deploying AI chatbots with RAG capabilities to instantly resolve tier-1 support queries.

Key Outcome80% reduction in tier-1 support tickets

Industry

E-Commerce

Engagement

AI Implementation

Timeline

3 months

Intelligent Customer Support System overview

The Challenge

Customer support teams were overwhelmed with repetitive queries regarding order status, returns, and product specifications. This caused slow response times for critical issues and degraded the overall customer experience.

Architecture

Web ClientGatewayNLP EngineVector StoreSupport API

The Solution

01

Knowledge Retrieval (RAG)

Integrated product catalogs and policy documents into a vector database for semantic search.

02

Conversational AI

Deployed context-aware chatbots capable of understanding natural language and resolving common issues.

03

Seamless Handoff

Engineered a protocol for transferring unresolved queries to human agents alongside full conversation history.

Results

  • 80% reduction in tier-1 support tickets
  • 42% increase in customer satisfaction scores
  • 24/7 instant resolution capability

Technology

TypeScriptReactPineconeLangChainNode.js

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