Dynamic Pricing with Data Streaming using Apache Kafka and Flink
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A New Era in Dynamic Pricing: Real-Time Data Streaming with Apache Kafka and Flink

In the age of digitization, the concept of pricing is no longer fixed or manual. Instead, companies increasingly use dynamic pricing — a flexible model that adjusts prices based on real-time market changes to enable real-time responsiveness, giving companies the tools they need to respond instantly to demand, competitor prices, and customer behaviors. This blog post explores the fundamentals of dynamic pricing, its link to data streaming, and real-world examples across different industries such as retail, logistics, gaming and the energy sector.
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Unified Commerce with Data Streaming using Apache Kafka and Flink at the Edge and in the Cloud
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Unified Commerce in Retail and eCommerce with Apache Kafka and Flink for Real-Time Customer 360

Delivering a seamless and personalized customer experience across all touchpoints is essential for staying competitive in today’s rapidly evolving retail and eCommerce 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. This blog post explores how Apache 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.
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How Intersport uses Apache Kafka as Database with Compacted Topic in Retail
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How the Retailer Intersport uses Apache Kafka as Database with Compacted Topic

Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic. The log compaction and key/value search is simple, cost-efficient and scalable. This blog post shows in a success story of Intersport how some use cases store data long term in Kafka with no other database. The retailer requires accurate stock info across the supply chain, including the point of sale (POS) in all international stores.
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The State of Data Streaming for Retail in 2023
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The State of Data Streaming for Retail

This blog post explores the state of data streaming for the retail industry with omnichannel customer experiences, hybrid shopping models, and hyper-personalized recommendations. Data streaming allows integrating and correlating data in real time at any scale. I explore customer stories from Walmart, Albertsons, Otto, AO.com, and more, including a slide deck and on-demand video recording.
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The Real-Time Food and Retail Supply Chain powered by Apache Kafka
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Real-Time Supply Chain with Apache Kafka in the Food and Retail Industry

This blog post 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 business. Case studies include Walmart, Albertsons, Instacart, Domino’s Pizza, Migros, and more.
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Apache Kafka to Transform Retail and Shopping with the Live Commerce Metaverse
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Kafka for Live Commerce to Transform the Retail and Shopping Metaverse

Live commerce combines instant purchasing of a featured product and audience participation. This blog post explores the need for real-time data streaming with Apache Kafka between applications to enable live commerce across online stores and brick & mortar stores across regions, countries, and continents in any retail business. The discussion covers several buildings blocks of a live commerce enterprise architecture, including transactional data processing, omnichannel, natural language processing, augmented reality, edge computing, and more.
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Augmented Reality AR VR and Apache Kafka with ARKit Unity Unreal Engine
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Augmented Reality Demo with Apache Kafka

Augmented Reality (AR) and Virtual Reality (VR) get traction across industries far beyond gaming – including retail, manufacturing, transportation, and healthcare. This blog post explores a retail demo that integrates a cutting-edge AR mobile shopping experience with the backend systems via the event streaming platform Apache Kafka.
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Omnichannel Retail and Customer 360 with Apache Kafka at the Edge and in the Cloud
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Omnichannel Retail and Customer 360 in Real Time with Apache Kafka

Event Streaming with Apache Kafka disrupts the retail industry. Walmart’s real-time inventory system and Target’s omnichannel distribution and logistics are two great examples. This blog post explores a key use case for postmodern retail companies: Real-time omnichannel retail and customer 360.
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Smart Retail Store with Apache Kafka at the Edge
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A Hybrid Streaming Architecture for Smart Retail Stores with Apache Kafka

Event Streaming with Apache Kafka disrupts the retail industry. This blog post explores a concrete use case as part of the overall story: A hybrid streaming architecture to build smart retail stores for autonomous or disconnected edge computing and replication to the cloud with Apache Kafka.
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