Lesson 1Image management best practices: resolutions, image galleries, color swatches, image naming for SEODis section explain image management best practices fi fashion, includin resolutions, aspect ratios, galleries, color swatches, an SEO-friendly namin so visuals load fast an support conversion an discovery.
Standard image sizes and aspect ratiosPrimary, alternate, and detail gallery shotsManaging color swatch images per variantFile naming for SEO and asset trackingCompression, formats, and CDN deliveryImage QA workflows before publishingLesson 2Product content standards: template for descriptions, sizing charts, fit notes, care instructionsDis section define product content standards fi fashion, includin description templates, sizin charts, fit an stylin notes, an care instructions dat reduce returns, support SEO, an create a consistent brand voice.
Standard structure for product descriptionsCreating clear sizing charts by regionWriting fit notes to reduce returnsCare and fabric instructions best practicesTone of voice and brand style guidelinesLocalizing content for different marketsLesson 3Tagging and metadata: collections, filters, search facets, internal tags for merchandisingDis section cover taggin an metadata strategies fi collections, filters, an search facets, plus internal tags fi merchandisin, enablin flexible campaigns, curated edits, an efficient on-site discovery.
Difference between tags, attributes, and fieldsDesigning tags for collections and campaignsMetadata for search facets and filtersInternal tags for buying and merchandisingGovernance to avoid tag sprawl and noiseAuditing and cleaning legacy tags regularlyLesson 4Essential product data model: title, long and short descriptions, price, cost, SKU, barcode, attributes, images, alt text, weight, dimensions, vendor, seasonalityDis section define a robust fashion product data model, coverin core identifiers, pricin, logistics data, an rich content fields so products are consistent, searchable, an ready fi merchandisin an fulfillment workflows.
Required identifiers: SKU, barcode, internal IDsStructuring titles, short and long descriptionsManaging base price, compare-at, and cost fieldsHandling weight, dimensions, and shipping classesManaging vendors, seasons, and product lifecycleBest practices for product images and alt textLesson 5Defining product taxonomy: selecting 3 main categories and 2–3 subcategory structures that fit fashion (e.g., Women, Men, Accessories)Dis section show how fi design a practical fashion taxonomy, choose top-level categories, define subcategories, an align navigation, filters, an collections so shoppers can quickly find relevant products.
Choosing primary categories for fashionDesigning subcategories by product typeSeparating gendered and unisex categoriesAligning taxonomy with navigation menusUsing taxonomy to power collections and PLPsGovernance for adding new categoriesLesson 6Variant strategy: configurable products vs separate SKUs, how variants map to inventory itemsDis section explain how fi design variant structures fi size, color, an style, when fi use configurable products versus separate SKUs, an how each choice affect inventory, reportin, an merchandisin flexibility.
When to use configurable parent productsWhen to split variants into separate SKUsLinking variants to inventory locations and binsVariant options for size, color, and materialManaging variant-level pricing and imagesReporting and analytics by variant versus styleLesson 7Pricing strategies and markup fields: MSRP, sale price, cost-of-goods, tiered pricing for promotionsDis section detail pricin data structures, includin MSRP, base an sale prices, cost-of-goods, an tiered pricin, so promotions, margins, an discounts can be managed consistently across channels.
Storing MSRP, base price, and sale priceCapturing cost-of-goods and landed costMarkup, margin, and profitability reportingTiered pricing and volume discountsPromo price fields versus coupon logicChannel-specific pricing and currency rulesLesson 8Bulk import/export workflows: CSV templates, required fields, validation, batch image uploadDis section cover buildin reliable bulk import an export workflows usin CSV templates, definin required fields, validatin data, an automatin batch image uploads to keep large catalogs accurate an up to date.
Designing reusable CSV import templatesDefining required and optional product fieldsData validation rules and error handlingMapping images and galleries in bulk uploadsScheduling recurring imports from ERP or PIMExporting data for audits and external partnersLesson 9Attribute modeling: size, color, material, fit, SKU conventions and barcode useDis section explain how fi model attributes such as size, color, material, an fit, define namin conventions, an connect attributes to SKU an barcode structures to support search, filters, an warehouse operations.
Standardizing size scales and conversionsDefining color, material, and pattern attributesFit attributes for different garment typesDesigning human-readable SKU structuresBarcode formats and scanning constraintsUsing attributes to drive filters and search
