Real-Time Logistics, Shipping, and Transportation with Apache Kafka

Kai Waehner
9 min readJan 6, 2023

Logistics, shipping, and transportation require real-time information to build efficient applications and innovative business models. Data streaming enables correlated decisions, recommendations, and alerts. Kafka is everywhere across the industry. This blog post explores several real-world case studies from companies such as USPS, Swiss Post, Austrian Post, DHL, and Hermes. Use cases include cloud-native middleware modernization, track and trace, and predictive routing and ETA planning.

(Originally posted on Kai Waehner’s blog: “Real-Time Logistics, Shipping, and Transportation with Apache Kafka”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

Logistics and transportation

Logistics is the detailed organization and implementation of a complex operation. It manages the flow of things between the point of origin and the point of consumption to meet the requirements of customers or corporations. The resources managed in logistics may include tangible goods such as materials, equipment, and supplies, as well as food and other consumable items.

Logistics management is the part of supply chain management (SCM) and supply chain engineering that plans, implements, and controls the

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Kai Waehner
Kai Waehner

Written by Kai Waehner

Technology Evangelist — www.kai-waehner.de → Big Data Analytics, Data Streaming, Apache Kafka, Middleware, Microservices => linkedin.com/in/kaiwaehner