Article-based order picking is a key component of efficient warehouse and logistics processes. This method focuses on processing orders at the level of individual items in order to optimize warehouse processes.

In contrast to other picking methods, where entire orders or batches are processed, item-based picking is carried out on an item-by-item basis. This means that warehouse employees select individual items from stock to compile orders. This precise approach offers various advantages for the logistics sector.

By focusing on individual items, stock levels can be used more efficiently. This reduces the need for extensive storage areas and enables better control over stock levels. In addition, the processing time for individual orders is shortened, resulting in faster delivery times and increased customer satisfaction.

Modern technologies such as barcode scanners and warehouse management systems support item-oriented picking by enabling precise tracking of selected items. This minimizes errors and ensures an accurate compilation of orders.

Overall, item-based picking helps to increase efficiency in the warehouse, minimize storage costs and optimize the supply chain as a whole. Companies that implement this method benefit from more flexible and responsive logistics that meet today’s demands for speed and accuracy.