Retail Media with Data Streaming using Apache Kafka and Flink
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Retail Media with Data Streaming: The Future of Personalized Advertising in Commerce

Retail media is reshaping digital advertising by using first-party data to deliver personalized, timely ads across online and in-store channels. As retailers build retail media networks, they unlock new revenue opportunities while improving ad effectiveness and customer engagement. The key to success lies in real-time data streaming, which enables instant targeting, automated bidding, and precise attribution. Technologies like Apache Kafka and Apache Flink make this possible, helping retailers like Albertsons enhance ad performance and maximize returns. This post explores how real-time streaming is driving the evolution of retail media
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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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