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Unified Commerce in Retail and e-commerce with Apache Kafka and Flink
Delivering a seamless and personalized customer experience across all touchpoints is essential for staying competitive in today’s rapidly evolving retail and e-commerce landscape. Unified commerce integrates all sales channels and backend systems into a single platform to ensure real-time consistency in customer interactions, inventory management, and order fulfillment. Leveraging the power of data streaming with Apache Kafka and Apache Flink, businesses can harness real-time data streaming to build a comprehensive Customer 360 view and enable instant insights and tailored experiences. This approach not only enhances operational efficiency but also drives customer loyalty by offering a truly unified and responsive shopping experience. This blog post explores how Kafka and Flink can be pivotal in achieving real-time Customer 360 in the unified commerce ecosystem and how it differs from traditional omnichannel approaches.
(Originally posted on Kai Waehner’s blog: “Unified Commerce in Retail and e-commerce with Apache Kafka and Flink for Real-Time Customer 360”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)
