Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
application of artificial intelligence
|
| gptkbp:appliesTo |
inventory management
supply chain management last mile delivery warehouse automation demand forecasting route optimization |
| gptkbp:challenge |
gptkb:legislation
cybersecurity data quality integration complexity workforce adaptation |
| gptkbp:enables |
risk management
fraud detection predictive maintenance dynamic pricing real-time tracking customer service automation automated sorting shipment visibility |
| https://www.w3.org/2000/01/rdf-schema#label |
AI for Logistics
|
| gptkbp:improves |
resource allocation
operational efficiency cost reduction accuracy of demand forecasts delivery speed |
| gptkbp:relatedTo |
gptkb:Internet_of_Things
gptkb:Industry_4.0 digital transformation smart warehouses blockchain in logistics |
| gptkbp:technology |
gptkb:machine_learning
autonomous vehicles computer vision natural language processing robotics |
| gptkbp:trend |
real-time analytics
use of drones adoption of autonomous vehicles increasing automation |
| gptkbp:usedBy |
gptkb:Amazon
gptkb:FedEx gptkb:UPS gptkb:Walmart gptkb:Alibaba gptkb:JD.com gptkb:DHL gptkb:Siemens gptkb:Maersk gptkb:Kuehne+Nagel |
| gptkbp:bfsParent |
gptkb:German_Research_Center_for_Artificial_Intelligence_(DFKI)
|
| gptkbp:bfsLayer |
5
|