{"id":39355,"date":"2020-11-04T06:16:30","date_gmt":"2020-11-04T05:16:30","guid":{"rendered":"https:\/\/packaging-journal.de\/?p=39355"},"modified":"2020-11-03T18:17:02","modified_gmt":"2020-11-03T17:17:02","slug":"improve-pick-by-vision-with-smart-data","status":"publish","type":"post","link":"https:\/\/packaging-journal.de\/en\/pick-by-vision-mit-smart-data-verbessern\/","title":{"rendered":"Improve pick-by-vision with smart data"},"content":{"rendered":"

Picavi's pick-by-vision solution enables visual guidance via smart glasses when picking goods. In a new white paper, the logistics specialist provides tips on how companies can further improve the application with the help of process data.<\/p>\n

Numerous technologies are already helping intralogistics to master the handling of ever-increasing order volumes. One of these is pick-by-vision. It maximises productivity in warehouses and minimises the error rate. Warehouse workers have both hands free by wearing the data glasses<\/strong> for their primary work, picking the goods.<\/p>\n

Pick-by-Vison guides you visually through the warehouse<\/h2>\n

The intralogistics solution guides the order picker visually through the warehouse. In doing so, he receives All relevant information in real time on the data glasses<\/strong> displayed. The process generates large amounts of data, which is the key to even better logistics performance. In its new free White paper<\/a> Picavi now explains how users can utilise the data generated during order picking to improve their logistics performance.<\/p>

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(Image: Picavi)<\/figcaption><\/figure>\n

Among other things, the focus is on the question of how to prevent an opaque big data pool. Picavi presents ways to minimise the subdivide the picking process into the most elementary small processes<\/strong> and thus draw meaningful conclusions about optimisation possibilities within the warehouse.<\/p>\n

Source:<\/em> Picavi<\/p>