The leading value textile discounter in Europe

NKD uses high-quality goods at attractive prices to predominantly target female customers aged between 30 and 64 who do the shopping for their families. With a number of brands, quickly alternating seasonal collections and brand star campaigns based on current trends, NKD stores provide their customers with a wide range of offers. For example, NKD has expanded its product range with categories such as teenage and sport fashion, as well as household hardware and home textiles. With its concept of attractive, flexible, medium-sized stores – retail premises are usually between 300 and 450 m² – NKD has a visible presence as a local retailer in small and medium sized cities and shopping malls that are characterised by their favourable competitive locations and are heavily frequented by NKD customers.

As a forward-looking company, NKD is increasingly leveraging data science. The value textile discounter set up its own team of experts some years ago, using tools developed in-house to analyse data and apply the insights in a way that boosts the bottom line. Data science and AI are deployed along the entire value chain. As a data-driven company, NKD applies data science methods in many areas, including in planning, stock allocation, pricing and markdown management. These methods and tools have already had a positive impact on business performance and will remain a major contributor to the company’s success.