ZTABS built a production-grade customer support platform that uses retrieval-augmented generation to resolve tickets automatically. The system ingests product documentation, past tickets, and FAQ content to generate accurate responses, with seamless escalation to human agents when needed.
58%
Automated Resolution Rate
Under 3 Minutes
First Response Time
68% to 89%
Customer Satisfaction
The client's support team was overwhelmed with repetitive inquiries that consumed agent time and drove up operational costs. Average first-response time exceeded 4 hours, and customer satisfaction scores had dropped below 70%. The existing help desk software lacked any form of intelligent routing or automated resolution.
We designed a multi-layer support system that automatically resolves common questions using vector-indexed documentation and contextual retrieval. For complex issues, the platform routes tickets to the best-matched human agent based on skill tags and current workload. A real-time dashboard tracks resolution metrics, queue depth, and customer sentiment, enabling proactive staffing decisions. The entire system was containerized and deployed on AWS with auto-scaling to handle traffic spikes.
The platform resolved 58% of incoming tickets without human intervention within the first 60 days. Average first-response time dropped from over 4 hours to under 3 minutes for automated replies, and customer satisfaction scores climbed from 68% to 89%.
58%
Automated Resolution Rate
Under 3 Minutes
First Response Time
68% to 89%
Customer Satisfaction
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AI-Powered Customer Support Platform is a web application project delivered by ZTABS. ZTABS built a production-grade customer support platform that uses retrieval-augmented generation to resolve tickets automatically. The system ingests product documentation, past tickets, and FAQ content to generate accurate responses, with seamless escalation to human agents when needed. Built with Python, LangChain, OpenAI, Next.js, PostgreSQL.
ZTABS built a production-grade customer support platform that uses retrieval-augmented generation to resolve tickets automatically. The system ingests product documentation, past tickets, and FAQ content to generate accurate responses, with seamless escalation to human agents when needed.
AI-Powered Customer Support Platform was built using Python, LangChain, OpenAI, Next.js, PostgreSQL, Redis, Docker, AWS. We selected these technologies based on the project's requirements for performance, scalability, and maintainability.
Yes — we apply the same engineering approach to every client project. We start with a free discovery session to understand your requirements, then provide a detailed scope and estimate. Visit ztabs.co/contact to get started.
AI-Powered Customer Support Platform is a web application project delivered by ZTABS. We specialize in building web application solutions for businesses across multiple industries.
Timelines vary based on complexity. A project similar to AI-Powered Customer Support Platform typically takes 8-20 weeks from discovery to launch, depending on the scope of features, integrations, and customization required. We provide detailed timelines during our free consultation.
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