At Zalando, we need customer data to process orders. Digital companies like Zalando rely on the analysis of a wide variety of data to constantly improve the quality of their services and react flexibly to new needs. For example:
Search functions and personalized shopping: In order for customers to be enthusiastic about our online shop, we have to offer them added value within the framework of customer experience. Personalized recommendations, which are automated learning systems for detailed data collection based on artificial intelligence, are a good example. This way, we can use personal data and evaluate it to meet today's customer’s expectations and offer them an ideal shopping experience.
Algorithm-driven predictions: Data on orders, combined with data analytics, also play an important role in logistics management so that we can understand and predict where demand is and where it will be growing. This enables Zalando to economically and ecologically optimize warehouse and delivery capacity and ensure that the right customer gets the right package delivered to the right address.
Anti-fraud: Zalando uses AI-based technologies to detect fraud patterns and new attack vectors in time and to protect honest customers from account takeovers. Using data within the ongoing payment process, these technologies can also detect new fraud patterns before they take hold and cause damage.