Naming product images for e-commerce involves assigning descriptive, consistent filenames to the picture files uploaded to your online store. Unlike ambiguous camera defaults ("IMG_1234.jpg") or generic names ("product.jpg"), effective filenames include key product identifiers like SKU, name, color, size, or view, separated by hyphens or underscores. This structured approach helps search engines understand image content (improving SEO) and makes managing large libraries easier for your team by clearly associating images with specific product variations.

For example, name a blue, medium-sized t-shirt as "tshirt-logo-blue-M_front.jpg" using the product name, primary feature, color, size, and view angle. Alternatively, incorporate the unique SKU: "TSH123-BLU-M_01.jpg" (where '01' indicates the primary image). Most e-commerce platforms like Shopify, Magento (Adobe Commerce), or WooCommerce benefit from this method, aiding their search functions and simplifying bulk uploads via CSV files or tools like Google Merchant Center.

This practice significantly improves search rankings for visual searches and enhances site navigation. However, manually naming files consistently across thousands of products can be error-prone. Ethically, filenames should be accurate and avoid misleading keywords or perpetuating stereotypes. As AI image recognition improves, platforms may rely less on filenames, but robust, descriptive naming remains a foundational best practice for scalability, SEO, and operational efficiency in digital commerce.