COA (Certificate of Analysis) data does more than meet compliance requirements—it empowers sales, marketing, and quality control. This set of fields captures the chemical profile, traceability details, and sensory characteristics of each batch, helping staff and customers understand not just what a product is, but how it feels. Consistent tracking of this data supports better purchasing decisions, faster product approvals, more confident budtender recommendations, and data-driven consumer marketing. In today’s market, leveraging COA data as a sales tool is no longer optional—it’s a competitive advantage.

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This tool was created to address the challenge of receiving wholesale cannabis product menus from vendors in a wide variety of inconsistent formats, including images, PDFs, spreadsheets, and unstructured text. Because these menus vary widely in structure and terminology, it becomes time-consuming and error-prone to manually extract and organize product data for catalog uploads. The Wholesale Catalog Uploader automates this process by standardizing all inputs into a consistent, structured Excel format—ensuring complete, accurate data extraction for every product, regardless of how the original menu is formatted.

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This GPT is designed to process wholesale cannabis product data by parsing product names to extract detailed attributes such as brand, class, sub-class, strain or flavor, dominance, extraction type, texture, product line, net weight, and units. It organizes this information into a structured table format with columns like price and cost, based on predefined rules and assumptions. It distinguishes between product types (e.g., Flower, Edibles, Vapes) and standardizes the data for easy review or export, excluding Excel output and focusing instead on a clean, copy-ready table.