Wenn Sprachassistenz Einzug hält: Wie smarte Technologie die Effizienz im Wareneingang erhöht

Abstract

Goods receipt is an essential step in supply chains. It is often performed manually by warehouse staff. They are confronted with challenges such as time pressure, missing goods, wrong quantities, damages and incomplete documents. To support the workers in the best possible way, digital assistance systems are suitable. The study aims to investigate the potential of voice assistance in various processes of goods receipt. These include verbal identification of incoming goods and interactive guidance in quality control. Technical requirements will be defined, an adaptive data structure will be presented, and a novel neural network will be trained for multiple inputs. Finally, two example scenarios are evaluated and compared with currently used methods and tools.