At Fashion Cloud, every day is about data – more specifically, product data. More than 700 brands share product data with their retail partners on our platform. They can either download the product data manually or integrate it automatically into their ERP systems and webshops. We have come up with seven top tips for working correctly with product data.
1. Provide your product data on time
The punctual transmission of data is essential! In order for retailers to include data into their web shops, they need the data as early as possible. For the processing of the product data, we usually need them at the middle of the year (15.7.) and at the end of the year (15.01.) – just in time for the new season!
2. Share a variety of views
High quality product images are essential for a successful webshop. Therefore, when creating the product images, you should make sure to consider different perspectives and provide both stills and model images.
3. More than just a number
The use of digital channels has increased the demands placed on product data. In addition to common attributes such as product name, size, and product group, it is important in e-commerce to store complete material information, list care instructions, and write comprehensive item descriptions. A majority of our brands already share this information, but we encourage all brands to share this information with us. Here you can find a table with all attributes we can process.
4. Taking care of the future
As sustainability has become a prerequisite for the future of the fashion industry, consumers and retailers alike are demanding more transparency from brands. With the support of over 70 sustainability attributes, brands can effectively communicate their sustainability efforts on an article level to their retail partners. These attributes are designed to accommodate a diverse range of sustainability certifications, memberships, standards, and trademarked fibers like GOTS, OEKO-TEX or LENZING ECOVERO. In addition, brands include the attributes in the same file as all the other product data, so the integration happens almost seamlessly. You can find a list of all currently accepted Sustainability Attributes here. This list is constantly growing and we are open to adding new certificates.
5. Improve your data quality
Fashion Cloud categorizes the data quality of brands in three levels (Basic, E-commerce, E-commerce Pro). This helps you to see at which level you are and which data you can specifically improve to sell well on your retailer’s web shops. Find out more about data quality at Fashion Cloud here.
6. Go international
More than 25,000 international retailers work with Fashion Cloud. We provide product data in various languages such as German, English, Dutch and through the API connection also in Spanish, Italian and French! Many of our brands also submit other languages relevant to their customers!
7. The right data transfer
You can transmit your product data in different ways. Whether an internal or external (s)ftp server or a URL – together we will find the best way to keep your product data up to date in an automated way! We also offer to integrate brand’s data via Intex and other ERP solution providers. For more information on the process of data integration, click here.
AI in the Digital Showroom: Our Webinar on the Future of Preorder
The way brands present and sell collections during the preorder season is changing — and AI is at the center of it. In our latest webinar, we explored what that means in practice: from AI-generated looks in the Digital Showroom to data-driven decisions that help brands and retailers work faster and smarter.
Unlocking Sustainability Data: Introducing the Retailer Requirements Matrix
The Retailer Requirements Matrix (RRM) brings clarity and alignment to sustainability data requirements across Europe’s major fashion retailers. Hosted by Fashion Cloud, it empowers brands and retailers to navigate expectations with confidence and collaborate more effectively. Discover how the RRM simplifies complexity and drives industry‑wide progress.