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Real-Time Supply Chain With Apache Kafka in the Food and Retail Industry

The supply chain in the food and retail industry is complex, error-prone, and slow. This article explores real-world deployments across the end-to-end supply chain powered by data streaming with Apache Kafka to improve business processes with real-time services. The examples include manufacturing, logistics, stores, delivery, restaurants, and other parts of the food and retail business. Case studies include Walmart, Albertsons, Instacart, Domino's Pizza, Migros, and more.

The Supply Chain in the Food and Retail Industry

The food industry is a complex, global network of diverse businesses that supplies most of the food consumed by the world's population. It is far beyond the following simplified visualization :-)

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Apache Kafka and MQTT (Part 4 of 5) – Mobility Services and Transportation

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part four: Mobility Services and Transportation.

Apache Kafka + MQTT Blog Series

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Real-Time Locating System (RTLS) With Apache Kafka

Real-Time Locating System (RTLS) with Apache Kafka for Transportation and Logistics

Real-Time Locating System (RTLS) enables identifying and tracking the location of objects or people in real-time. It is used everywhere in transportation and logistics across industries. A postmodern RTLS requires open architecture and high scalability. This blog post explores the use cases for RTLS, the challenges of existing implementations, and why more and more RTLS implementations rely on Apache Kafka as an open, scalable, and reliable event streaming platform.

Real-Time Locating / Tracking System (RTLS) in Supply Chain and Logistics

RTLS is a key part of many use cases across verticals. Many manufacturing processes and supply chains rely on good real-time information of assets and people. But also, other innovative scenarios could not exist without RTLS. For instance, think about ride-sharing, car-sharing, or food delivery.

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The Case for Cloud-Based Logistics Systems

IT systems and applications are vital to businesses and enterprises. The last couple of decades have been a great source of growth for information and communication technology and has strongly influenced organizational processes and logistics as well. The ecosystem of IT services is an interconnected set of hardware and software resources, and is conceptually similar to a manufacturing or retail supply chain.

In the case of supply chains, they generally have two functions: a physical function—the production of a particular product and transportation of each and every component to the desired place at the right time; and a market mediation function—to ensure that the product meets market needs in an appropriate manner. Logistics involves a plethora of suppliers, manufacturers, carriers, third logistics partners, fourth logistics partners, and financial institutions which are essential to transporting a product from place of origin into customer’s hands.