Leaf category, simply put, is the most detailed and specific classification level in the commodity classification system, which directly corresponds to the actual type of commodity. Its main function is to optimize consumers' shopping experience and help them quickly locate the products they need through subdivided categories. It also helps sellers accurately publish product information and improve the accuracy and efficiency of transactions.

Choosing the correct leaf category is crucial because it directly affects the exposure and sales of the product. For example, clothing categories are divided according to gender, age, season and style, while digital products are classified according to brand, model and function. When choosing, sellers should fully consider the characteristics of their own products and ensure that the selected leaf categories can accurately reflect the products, so that consumers can easily find what they need, thereby improving the visibility and conversion rate of the products.

Wrong selection of leaf categories may lead to misidentification of products, affecting their ranking in search results, making it difficult for consumers to find them, and thus affecting sales. On the contrary, accurate classification can enhance consumers' trust in products, improve transaction success rates, and increase positive reviews. Therefore, sellers must carefully select leaf categories when publishing products to achieve the best classification effect and commercial benefits.