Turn every label into a supply-chain sensor
Instead of treating labels as static identifiers, Kuehne+Nagel is using AI computer vision to read, interpret and enrich label data at scaleclosing gaps between physical movement and digital records.
A smarter front door for logistics data
- Smart label readers deployed across facilities ingest label images and metadata, with AI interpreting carrier codes, destinations and special handling instructions.
- That data feeds back into platforms to give up-to-date shipment status and anomalies, from delays to misroutes.
- By partnering with Chorusview Inc, Kuehne+Nagel taps into a specialised computer-vision capability instead of building everything in-house.
Customer experience and operational gains
- Shippers get a more unified, near-real-time view of their cargo, improving planning and customer service.
- Internally, better visibility supports proactive exception management, reducing manual checks and firefighting.
- Over time, aggregated data can power predictive insightswhich routes fail more often, where labels are misapplied, which partners underperform.
Lessons for supply-chain and ops leaders
The message here is that meaningful AI wins often come from instrumenting the unglamorous edges of processes. Turning labels, scanners and local workflows into intelligent inputs can unlock more value than yet another dashboard, especially when decisions at the edge are what really shape cost and reliability.