 This paper discusses the application of augmented reality in the picking of goods in static systems with the deployment of a human man to goods. It outlines a comprehensive methodology for the use of AR in the process of picking, beginning with the preparation of input data followed by optimization of the movement of workers in the warehouse and ending with the actual navigation of workers using AR. The problem was tested on the author's workplace and the proposed solution was verified in the experimental workplace, built under the concept of ZIMS, Selina Intelligent Manufacturing System, developed at the University of Selina in collaboration with CEIT. This article was authored by Martin Krojkowicz, Gabriela Gabohova, and Branislav Myceta.