This study focuses on the application areas of data mining in production and logistics. Data mining techniques are widely used in practice and provide valuable insights to management for their decision-making. Particularly in sales and marketing, data mining has become indispensable. For example, existing data can be used to generate information that helps create refined advertising strategies that boost sales. However, with the increasing automation in production and logistics, vast amounts of data are also generated, presenting an opportunity to explore optimization potential in these areas. In this context, this study aims to contribute to the discovery of new application possibilities. Some companies are already effectively using data mining methods in their production and logistics chains and are benefiting from it.