Logistics 4.0: Machine learning and advanced data analysis

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With so much data coming from the warehouse, it's only logical that companies are doing their best to use it to their advantage. While real-time monitoring is the most obvious application, companies are increasingly using in-depth data for predictive analytics. Forecasting demand and planning procurement, scheduling repairs and technical upgrades are now done based on insights from historical data.

Machine-to-human interactions:
Wearable devices facilitate human-machine interaction poland gambling data and allow warehouse staff to stay up to date even when they are not on site. Packaging or manufacturing instructions can be transmitted directly via smart glasses, while headsets enable direct voice communication with other employees remotely. Voice command tools can also manage warehouse machines and increase operational efficiency by up to 30%.

Warehouse mobility:
In fact, warehouse digitalization allows employees to spend more time off-site than ever before. With warehouse mobility solutions, they are no longer tied to their desktop workstations and can access data and solve problems on the go. Data visualization, video conferencing, digital assistance and cloud integration reduce walking time and accelerate overall operational performance.