This is season eleven, episode five. In this episode, we will focus on how to train a custom GPT to handle quotation requests and price inquiries accurately. You will learn how to structure pricing data, define rules for customized quotes, and ensure AI-generated responses are correct and reliable. By the end of this episode, you will know how to make your AI assistant generate pricing responses that are clear, professional, and aligned with your business policies. So far, we have integrated product specifications and pricing data into our custom GPT. Now, we need to ensure that AI-generated quotations follow business rules and provide the right pricing information based on customer needs. Let’s go step by step on how to structure pricing data, automate quotation requests, and prevent errors in AI-generated pricing responses. Step One: Organizing Pricing Data for AI Use Before training a custom GPT to provide quotations, we need to ensure that pricing information is structured in a way that AI can reference easily. Pricing data can include: Standard pricing for each product Bulk pricing discounts based on order volume Custom pricing for specific customer groups such as resellers or partners Additional costs like shipping fees or customization charges If your pricing changes frequently, storing this data in a structured document allows the AI to pull the most up-to-date information. The...

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