The basis for the solution is the semantic digital twin (semdZ) of a store through the availability of exact location and inventory data of all items. By using AI incoming goods from different sources can be sorted individually according to placement and demand. Thus, goods of a common retail space section are pre-placed on trolleys and can then be put away efficiently and in a space-saving manner. In addition, the processing of empty shelf space is prioritized, while non-refillable items remain directly in the warehouse. The expected high time savings create space for new services for customers in the omnichannel area, such as the comissioning of click-and-collect orders in the store, where products are ordered online and picked up at the store.
Picture: dm-drogerie markt GmbH & Co. KG