Walmart – Real-Time Inventory System: 8,500 nodes processing 11 billion events per day deliver an omnichannel experience so every customer can shop the way they want to.Consequently, Kafka is the right choice, no matter if you need to optimize the supply chain, disrupt the market with innovative business models, or build a context-specific customer experience. Various deployments across the globe leverage event streaming with Apache Kafka for very different use cases. Let’s now take a look at a few public examples that leverage all the above capabilities. Event Streaming as the foundation of postmodern ERP, logistics, transportation systems.Integration with legacy mainframe applications.
Kafka in conjunction with API Management tools.Kafka as modern middleware as a replacement or together with other MQ / ETL / ESB infrastructure.
Plenty of material explores this topic in more detail. It very often complements existing applications in a brownfield architecture. Hence, Kafka is not just used for greenfield projects in the retail industry. Instead, Apache Kafka enables faster processing at a larger scale with a lower cost and reduced risk:
Many use cases for event streaming are not new. These trends require retail companies to create new business models, provide a great customer experience, and improve operational efficiencies:Įvent Streaming with Apache Kafka in Retail
New business models, great customer experience, and automated real-time supply chain processes are mandatory. Consequently, traditional players have to disrupt their business to stay competitive. The retail industry is completely changing these days.
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