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Data Feed

The structure of the information sent to eSales Fashion is an integral part of the integration and has a major impact of the quality of the results in many aspects. It has impact on search ability, visualization, and performance, as well as flexibility when it comes to merchandising tasks.

This section includes:

Improve the data feed creation

Read through both the Guidelines as well as the Format Specification prior to building the data feed.

Make sure both the integrating party as well as the retailer understands the data requirements and guidelines.


The data feed is in short comprised of product data. How eSales handles the data feed depends on the feed operations included in the XML-file that is imported.

An online fashion retailer sells articles in different colours and styles, in different sizes. To describe an article and its properties, eSales Fashion utilises a model with three levels.

The first level is the product group (the overall article), the second level is the product (the colour or style), and the third level is the variant (the size/SKU). The product is what is shown in a search result. Consider the image below where the different type of tops are product groups, the colours of the different types are the products, and the sizes of the products are the variants.

Data model concept - product groups, products, and variants

The properties of the articles, i.e. the product attributes, are also segmented. Overarching properties such as brand and department are at the product group level, while attributes such as images and material are at the product level. Attributes as size, price, cost, and availability are at the variant level.

Content links enable visitors to search for editorial content on the site, such as shipping and contact information.

A market can be view as what separates product and behaviour data for sites with multiple languages. The Fashion data import and the Fashion attribute modification operates on the market defined in the data feed.



