The aim of the article is to identify potential in logistics in the context of Big Data. The previous article "Higher, faster, further, more efficient - the future of logistics" serves as the intellectual foundation of the analyzes. Current articles, interviews and conference reports are structured and analyzed from various databases. In essence, it is about the optimization potential of processes in a business context. The references of the identified papers are examined and critically assessed. In particular, Supply Chain Management (SCM) should be examined in more detail and to what extent large data sets can lead to optimization potential. The change in the nature of supply chain management should act as a central message of the article. Has SCM changed, if so, to what extent and how? In addition, tasks and challenges facing supply chain management should be defined and an outlook on future developments in the industry should be given. The article is intended to show that the logistics of the future is not a self-contained discipline of business administration isolated from the outside world, but is growing or has already grown into a key function of the economic trade of companies.