Data in Motion & Apache Kafka® Use Cases for Retail and eCommerce

Presented by

Lawrence Stoker, Senior Solutions Engineer at Confluent

About this talk

Retailers that have embraced the opportunities of the prolonged pandemic are emerging leaner and stronger than before. Contrary to expectations, many senior leadership teams have used the last 18 months to re-invent existing and deploy new business models and practices. Many of these models have data and software at their core rather than tagged on as an afterthought. Consequently, many retailers have captured the attention of a younger demographic, thereby refreshing and extending their relevance. Urban Outfitters' launch of Nuuly, a clothing subscription rental service, exemplifies this trend. For over 40 years, Urban Outfitters has been creating unique shopping experiences through well-respected brands that include Anthropologie and Free People. To add Nuuly to this roster, Urban Outfitters engineers built and deployed an event-driven architecture in just six months. The success of this project illustrates the importance of harnessing the power of data in motion and Apache Kafka®. Hear Lawrence Stoker, Senior Solutions Engineer at Confluent, walk through the data in motion use cases that are re-inventing the retail business including: 1. Customer 360 and loyalty programs 2. Personalized recommendations and real-time offers 3. Omnichannel experiences 4. Real-time Inventory 5. Real-time analytics and fraud detection 6. Real-time data sharing and supply chain optimization
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Confluent is building the foundational platform for data in motion. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.