Interactive Case Study
AI Chatbot: Reducing Support Ticket Volume by 60%
A bilingual (Arabic/English) AI customer support chatbot integrated with live CRM and inventory databases, resolving Tier-1 customer queries in seconds.
Client
GCC Retail Group
Industry
E-commerce & Support
Timeline
6 Weeks
Role
Conversational AI Architecture & RAG Pipeline Engineering
Discovery & User Insights
Quantitative Research & Observations
Real user research data and market friction points evaluated before writing the first line of code.
60%
Ticket volume deflected from human agents
98.5%
Arabic & English conversational accuracy
1.2s
Average bot response latency
80%
Support operational cost savings
Target Audience
User Persona Profile
Understanding the primary user archetype ensures the user experience solves real, everyday friction without cognitive overload.
Omar Al-Fassi
Director of Customer Experience • Doha, Qatar
Core User Goals
Provide 24/7 instant order tracking for GCC customers
Support native Gulf Arabic dialect queries with high accuracy
Escalate complex returns to human agents with full conversation context
Existing Pain Points
Support team overwhelmed during peak shopping holidays
High churn due to 4-hour average response times on WhatsApp
The Problem
What Needed Solving
A leading GCC retail enterprise was overwhelmed by simple customer queries (order status, refund policies, FAQs). They wanted a custom AI solution that could answer in Arabic and English, lookup live CRM data, and scale without per-conversation pricing constraints.
Our Engineering & UX Approach
What We Architected
We built a custom ChatGPT-powered chatbot using GPT-4o and Claude. We integrated our RAG pipeline with their internal inventory databases and Salesforce CRM via custom APIs, and deployed the bot on WhatsApp Business API and their website.
System Flow
Step-by-Step Experience Architecture
How user intent transitions through the interface into automated real-time execution.
Customer Ingestion
Customer messages on WhatsApp or website widget in Arabic or English.
RAG & CRM Lookup
Agent queries Pinecone vector knowledge base and pulls live order status from Salesforce.
Instant Resolution
Customer receives accurate response in under 2 seconds with tracking links and actions.
Capabilities
Features & Deliverables Shipped
Arabic & English language support with dialect comprehension
Live CRM and real-time order lookup
60% ticket reduction on Tier-1 repetitive inquiries
Self-hosted secure vector infrastructure
Measurable Impact
By The Numbers
60%
Ticket Deflection
98.5%
Arabic Accuracy
1.2s
Response Time
80%
Cost Savings
Technologies
Tools & Stack
Portfolio
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