AI-Powered Customer Service Automation
Global Retail Inc.How we helped a global retail company reduce response times and improve customer satisfaction with an AI agent solution.
Key Results
Response Time
85% faster
Customer Satisfaction
+42%
Cost Savings
$1.2M annually
Client
Global Retail Inc.
Project Duration
6 months
Team Size
3 team members
The Challenge
Global Retail Inc. was facing increasing customer support volumes, with response times growing to over 24 hours. Customer satisfaction scores were dropping, and support costs were rising as they tried to scale their human support team globally.
Our Solution
We developed a custom AI agent using natural language processing and machine learning that could understand customer inquiries across multiple languages and provide accurate, helpful responses instantly. The system was designed to handle 80% of common inquiries while seamlessly escalating complex issues to human agents.
Implementation Approach
The implementation involved training the AI on historical support tickets, integrating with existing CRM systems, and developing a custom dashboard for support managers. We implemented a phased rollout approach, starting with email support and gradually expanding to chat and social media channels. The system used continuous learning to improve responses over time based on customer feedback and human agent interventions.
Technologies Used
Project Gallery
"Michael's AI solution transformed our customer support operations. Not only did we see dramatic improvements in response times and customer satisfaction, but our human agents now focus on more complex, rewarding work instead of repetitive tasks."
Sarah Johnson
VP of Customer Experience, Global Retail Inc.
Continue Exploring