AI-Powered Gender Tagging for Shopify Customers

The trigger automatically captures customer data whenever a new account is created in your store, including the first and last name that will be analyzed by AI. No configuration is required - the trigger is pre-configured to monitor all new customer creations and passes the customer information to the next step. This ensures consistent tagging without manual intervention for every new customer signup.

The AI examines the customer's full name and responds with one of three classifications: "Male," "Female," or "Uncertain." The AI prompt is pre-configured to analyze names and provide only these specific responses to ensure consistent tagging. The temperature setting is set to 1 for balanced creativity and accuracy in name analysis. This step processes the customer name data from the trigger and generates the gender classification that will be used as the tag in the final step.

The filter checks that the AI response equals "Male," "Female," or "Uncertain" before allowing the workflow to continue to the tagging step. This validation step uses OR logic to accept any of these three valid responses while blocking any unexpected AI outputs. If the AI response doesn't match these exact values, the workflow stops here to prevent incorrect tags from being added. Only customers with valid AI classifications will proceed to receive their gender tag.

The action adds the AI response ("Male," "Female," or "Uncertain") as a tag to the customer's profile in Shopify. The customer ID from the original trigger is used to identify which customer receives the tag, and the AI-generated classification becomes the actual tag text. This creates searchable and filterable customer segments in your Shopify admin based on gender classification. The tagging happens automatically without any manual review or approval process.