Automating Customer Queries with Custom GPTs (Season 11 Introduction) #S11E0

Welcome to Season 11 of the ChatGPT Masterclass: AI Skills for Business Success. This season is all about automating customer queries using custom GPTs—helping businesses respond faster, improve customer experience, and reduce manual workload. Instead of spending hours answering the same questions, businesses can train a custom AI assistant to handle email replies, chat support, and quotation requests with accuracy and consistency. This podcast is made possible with AI text-to-speech technology, allowing me to efficiently share these insights while you focus on implementing them in your business. Who Is Season 11 For? This season is for you if: You handle customer support, sales, or business inquiries and want to automate repetitive responses. You want to build a custom AI assistant trained on your business data to improve response accuracy. You need faster and more consistent replies to emails, chat messages, and customer requests. What You Will Learn in Season 11 By the end of this season, you will know how to: Train a custom GPT to handle customer emails, chats, and FAQs. Use past email replies and structured data to improve AI-generated responses. Automate quotation requests while keeping control over pricing accuracy. Fine-tune AI-generated customer interactions for better engagement. Integrate AI into chat systems to improve real-time support. Why This Season Matters Customer support can take up hours of valuable time, but AI can: Reduce response time by generating fast, consistent replies. Improve customer satisfaction with well-structured, human-like responses. Free up human agents to focus on complex or high-priority issues. By automating common queries, businesses can scale customer interactions without increasing workload. What to Expect in Each Episode Each episode is five minutes long and focuses on a specific step in building an AI-powered customer support system. Here’s what’s coming: Episode 1: Why Automate Customer Queries with Custom GPTs? Episode 2: Preparing Data – Collecting and Structuring Past Customer Replies Episode 3: Creating a Custom GPT – First Steps to Training an AI Assistant Episode 4: Integrating Product Information, Specifications, and Pricing Episode 5: Training the GPT to Handle Quotation Requests and Price Inquiries Episode 6: Building Product Recommendation Logic Based on Customer Needs Episode 7: Fine-Tuning Responses – How to Make AI Drafts More Accurate Episode 8: Automating Chat Queries – Integrating AI with Customer Support Systems Episode 9: Handling Edge Cases – Managing Complex or Uncommon Customer Questions Episode 10: Deploying and Maintaining Your Custom GPT for Long-Term Use By the end of this season, you’ll have a fully functional AI-powered system for handling customer inquiries, helping you save time, improve accuracy, and scale your customer support. If you’re ready to build an AI assistant for customer communication, start with Episode 1 now. Let’s get started.

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