AI-Powered Customer Support CRM with Smart Ticket Routing

Full AI app builder prompt

Build a comprehensive AI-powered customer support CRM designed for growing SaaS companies and e-commerce businesses. The system should have three main sections: Dashboard, Tickets, and Knowledge Base. Dashboard Page: Display key metrics including open tickets, average response time, customer satisfaction score, and AI resolution rate. Show a real-time activity feed of new tickets and agent responses. Include charts for ticket volume trends, top issue categories, and agent performance metrics. Tickets Page: Create a kanban-style board with columns for New, In Progress, Waiting on Customer, and Resolved. Each ticket card should show customer name, subject, priority level (color-coded), AI-assigned category, and sentiment indicator (positive/neutral/negative emoji). Implement filters for priority, category, assigned agent, and date range. Include a detailed ticket view with full conversation history, customer profile sidebar showing past interactions and purchase history, internal notes section, and quick actions for status updates. Knowledge Base Page: Build a searchable repository of help articles organized by category. Include article analytics showing view counts and helpfulness ratings. Add a suggestion engine that recommends relevant articles based on ticket content. Key AI Features: Automatic ticket categorization into predefined types (billing, technical, general inquiry, feature request). Sentiment analysis that flags frustrated customers for priority handling. Smart agent routing based on expertise, workload, and past performance. Suggested responses generated from knowledge base articles. Auto-draft replies for common questions. Data Model: Tickets table with fields for ID, customer_id, subject, description, status, priority, category, sentiment_score, assigned_agent, created_at, updated_at. Customers table with name, email, company, total_tickets, satisfaction_rating. Agents table with name, email, specialties, active_tickets, avg_response_time. Design: Modern, clean interface with a professional blue and white color scheme. Use card-based layouts, smooth transitions, and clear typography. Mobile-responsive for agents working remotely. Include dark mode toggle. Integrations: Email sync to create tickets from support inbox. Webhook support for Slack notifications. Export reports to CSV. API endpoints for third-party integrations. Success Criteria: Agents can view and respond to tickets within 2 clicks. AI categorization achieves 85%+ accuracy. Dashboard loads all metrics in under 2 seconds. System handles 1000+ concurrent tickets smoothly.