4 AI workflows under the "Product Tags and Categorization" topic. Each includes a copyable prompt and FAQs. Paste them into your preferred AI assistant or Spark agent and run it.
A growing catalog uses inconsistent labels, making filtering and downstream rules unreliable. In this case, the immediate task is to assign consistent product tags using explicit rules. The workflow should produce a product-level tagging and categorization change list, using the merchant's actual records and constraints.
A growing catalog uses inconsistent labels, making filtering and downstream rules unreliable. In this case, the immediate task is to classify products using an approved catalog taxonomy. The workflow should produce a product-level tagging and categorization change list, using the merchant's actual records and constraints.
A growing catalog uses inconsistent labels, making filtering and downstream rules unreliable. In this case, the immediate task is to add approved tags to a selected product group. The workflow should produce a product-level tagging and categorization change list, using the merchant's actual records and constraints.
A growing catalog uses inconsistent labels, making filtering and downstream rules unreliable. In this case, the immediate task is to remove specified tags without disturbing other labels. The workflow should produce a product-level tagging and categorization change list, using the merchant's actual records and constraints.
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