This is season eleven, episode four. In this episode, we will focus on how to integrate product information, specifications, and pricing into your custom GPT. You will learn how to structure product sheets, organize data in formats that AI can understand, and ensure that your AI assistant retrieves the correct details for customer queries. By the end of this episode, you will know how to provide customers with accurate and consistent responses about product specifications and pricing without needing to check details manually every time. So far, we have prepared past customer responses and trained a custom GPT with structured knowledge. Now, we need to ensure that AI-generated responses are precise and aligned with business data. This is especially important when customers ask about technical specifications, compatibility, or pricing. Let’s go step by step on how to structure product details for AI use and how to ensure ChatGPT delivers the right answers every time. Step One: Organizing Product Information for AI Use Before your AI can provide accurate answers, it must have a structured way to access product details. Most businesses already have product information in different formats, such as: Product catalogs with technical specifications Internal documents listing product features and benefits Spreadsheets containing product dimensions, materials, and capabilities Pricing sheets with different costs for various customer segments The challenge is that this information is often scattered across multiple files or systems. To make it useful for ChatGPT, you need to consolidate and standardize this data.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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