Providers of warehouse management systems mostly use artificial intelligence to determine anticipated staffing needs. At least, that's according to a study by the Fraunhofer Institute for Material Flow and Logistics IML, which reports on this in a market report.
This year's "WMS Market Report Compact" focused on artificial intelligence. Researchers at Fraunhofer IML identified three main technological trends: predictive analytics, deep learning, and digital security. The study also showed that AI is most frequently used to determine staffing needs.
The biggest challenge in the field of warehouse management systems lies in the continuous adaptation to the rapidly evolving environment. The report, published every two years, contains over 50 comprehensive analyses of the WMS market.
Image: IML/Fotolia
It is being conducted by the "warehouselogistics" platform of the Fraunhofer IML, a European comparison platform for logistics IT systems. The researchers cover various system groups, including WMS, TMS (transport management systems) and RPS (resource planning systems).
In the near future, consulting services for MES (Manufacturing Execution Systems) will also be available; these are currently under development. The "warehouse logistics" platform currently lists 81 WMS (Warehouse Management Systems), some of which were included in the WMS market report. For data collection, the researchers anonymized and analyzed specifically selected aspects from the questionnaire, which they used within the framework of..
had inquired about the validation.
