Lesson 1Image management best practices: resolutions, image galleries, color swatches, image naming for SEOThis section explains image management best practices for fashion, including resolutions, aspect ratios, galleries, color swatches, and SEO-friendly naming so visuals load fast and support conversion and 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 instructionsThis section defines product content standards for fashion, including description templates, sizing charts, fit and styling notes, and care instructions that reduce returns, support SEO, and 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 merchandisingThis section covers tagging and metadata strategies for collections, filters, and search facets, plus internal tags for merchandising, enabling flexible campaigns, curated edits, and 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, seasonalityThis section defines a robust fashion product data model, covering core identifiers, pricing, logistics data, and rich content fields so products are consistent, searchable, and ready for merchandising and 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)This section shows how to design a practical fashion taxonomy, choose top-level categories, define subcategories, and align navigation, filters, and 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 itemsThis section explains how to design variant structures for size, color, and style, when to use configurable products versus separate SKUs, and how each choice affects inventory, reporting, and merchandising 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 promotionsThis section details pricing data structures, including MSRP, base and sale prices, cost-of-goods, and tiered pricing, so promotions, margins, and 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 uploadThis section covers building reliable bulk import and export workflows using CSV templates, defining required fields, validating data, and automating batch image uploads to keep large catalogs accurate and 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 useThis section explains how to model attributes such as size, color, material, and fit, define naming conventions, and connect attributes to SKU and barcode structures to support search, filters, and 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
