AI Integration

AI Customer Support Bot

RAG-powered intelligent chatbot handling 70% of customer inquiries automatically across multiple languages.

Client

ShopEasy

Industry

E-Commerce

Duration

8 weeks

Year

2025

AI Assistant

Results

Real impact

70%

Queries Automated

Handled without human intervention

35%

CSAT Increase

Customer satisfaction score improved significantly

60%

Cost Reduction

Support costs cut by more than half

<2min

Response Time

Down from 24 hours to under 2 minutes

The Challenge

ShopEasy's customer support team was overwhelmed. With 30,000+ active customers, support tickets piled up faster than their team could respond. Response times averaged 24 hours, customer satisfaction was dropping, and hiring more agents was unsustainable.

Our Solution

We built a sophisticated AI chatbot using Claude API with RAG (Retrieval-Augmented Generation) architecture. The bot has access to ShopEasy's product catalog, order database, FAQs, and policies. It handles inquiries in English and Swahili, escalates complex issues to humans, and learns from every interaction.

Our Approach

How we delivered

Audited 6 months of support tickets to identify common queries

Built knowledge base from product docs, FAQs, and order history

Implemented vector embeddings using Pinecone for semantic search

Integrated Claude API for natural language understanding and generation

Created intelligent escalation logic for complex issues

Built admin dashboard for monitoring conversations and quality

Deployed multilingual support (English and Swahili)

A/B tested responses to optimize for customer satisfaction

Key Features

Natural language understanding in English and Swahili

RAG-powered knowledge base search

Order tracking and management

Product recommendations

Smart escalation to human agents

Conversation analytics dashboard

Continuous learning from interactions

24/7 availability

Tech Stack

Claude APIPineconeFastAPIPythonPostgreSQLRedisNext.js

“

“The AI chatbot exceeded all our expectations. Customer satisfaction is at an all-time high and our support team can finally focus on complex issues that need human empathy.”

Amina H.

Founder, ShopEasy

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Back to Portfolio

AI Integration

AI Customer Support Bot

RAG-powered intelligent chatbot handling 70% of customer inquiries automatically across multiple languages.

Client

ShopEasy

Industry

E-Commerce

Duration

8 weeks

Year

2025

AI Assistant

Results

Real impact

70%

Queries Automated

Handled without human intervention

35%

CSAT Increase

Customer satisfaction score improved significantly

60%

Cost Reduction

Support costs cut by more than half

<2min

Response Time

Down from 24 hours to under 2 minutes

The Challenge

Our Solution

Our Approach

How we delivered

Audited 6 months of support tickets to identify common queries

Built knowledge base from product docs, FAQs, and order history

Implemented vector embeddings using Pinecone for semantic search

Integrated Claude API for natural language understanding and generation

Created intelligent escalation logic for complex issues

Built admin dashboard for monitoring conversations and quality

Deployed multilingual support (English and Swahili)

A/B tested responses to optimize for customer satisfaction

Key Features

Natural language understanding in English and Swahili

RAG-powered knowledge base search

Order tracking and management

Product recommendations

Smart escalation to human agents

Conversation analytics dashboard

Continuous learning from interactions

24/7 availability

Tech Stack

Claude APIPineconeFastAPIPythonPostgreSQLRedisNext.js

“

“The AI chatbot exceeded all our expectations. Customer satisfaction is at an all-time high and our support team can finally focus on complex issues that need human empathy.”

Amina H.

Founder, ShopEasy