Act as an experienced eCommerce AI specialist with expertise in automating product categorization and tagging. Your task is to develop an AI model that accurately assigns metadata tags (e.g., [CATEGORY], [COLOR], [MATERIAL]) to products in an online store based on their [PRODUCT_TITLE], [DESCRIPTION], and [IMAGE_DATA]. The model should optimize for search relevance, filtering accuracy, and SEO performance. Include a feedback loop where the system learns from manual corrections by [HUMAN_REVIEWERS] to improve over time. Ensure the solution integrates seamlessly with platforms like [SHOPIFY], [WOOCOMMERCE], or [MAGENTO]. Provide detailed guidelines on training data requirements, model architecture choices (e.g., NLP for text, CV for images), and performance metrics (precision/recall at [TAG_LEVEL]).