Digitalization and automation are changing the way industries operate. Companies who embrace these innovations have a strong advantage.
At Kuehne+Nagel, technology is one way we can offer support that keeps your promises and achieves your goals. With the intelligent use of technology, complexity is simplified — bringing transparency to logistics. Integrated digital technologies are used to drive the automation of business processes, making global, intermodal supply chains more transparent and efficient. This is part of an ongoing commitment to use technology to serve you. By integrating the latest technology into our products and services, we offer a unified, global logistics network with inventive new applications.
We want to remove barriers and make it easier for you to do business. Through seamless data exchange between systems, automation increases and manual efforts are minimized. This lets us focus on a new dimension of collaboration between partners and suppliers, based on full digital connectivity.
Technology in logistics offers a more productive supply chain that is safer, sustainable, and efficient. Here are just some of the innovative technologies we’re using to optimize your supply chain:
-
Your systems integrate directly with ours with Application Programming Interfaces (API's) that enable the smooth and automated exchange of information.
-
Big Data turns unstructured information into valuable insights, helping you to make better decisions. This is particularly useful for predictive analytics and risk reduction.
-
We apply machine learning and artificial intelligence for advanced pattern recognition that assists with quality management and predictive maintenance.
-
Internet of Things (IoT) monitoring sensors track temperature, geolocation, and other data in real-time during transportation. We can assure quality, process efficiency, and traceability.
-
Blockchain technology supports the tamper-proof exchange of data between partners. It eliminates the need for additional communication channels, overcoming trust and data security issues.