Learn more: confluent.io/c... | When the pandemic created an instant surge of demand for online shopping and grocery delivery services, Instacart grew 500,000 new customers in weeks. How does the largest grocery shopping app manage to provide a seamless shopping experience that connects shoppers, retail stores, grocery delivery schedules, and real-time inventory at scale? In this video, Instacart shares their powerful Confluent use case, and why they chose Confluent to empower real-time data streaming, analytics, and event-driven architecture to scale 10 years of growth in just 6 weeks.
Not only did they modernize their entire data infrastructure, they grew their Apache Kafka and Confluent use cases to encompass a powerhouse of data-driven, omnichannel retail capabilities with real-time availability models, fraud detection, and a central data mesh to provide a seamless customer experience - without having to hire a team to manage Kafka for them.
ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
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Негізгі бет Why Instacart Chose Confluent for Data Streaming | Customer Story
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