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Online Talk

L'entreprise Advance Auto Parts connaît une véritable transformation grâce aux données en temps réel

Available On-Demand

How does the largest automotive aftermarket parts provider in North America ensure the right parts from its 30,000 vendors are in stock for professional installers and do-it-yourself customers across all of its 5,200 stores? Advance Auto Parts relies on a recently revamped IT infrastructure powered by real-time event streaming with Apache Kafka® and Confluent Cloud.

Following a series of mergers and acquisitions, Advance launched an enterprise transformation initiative to unify multiple brands and siloed operations under a common IT umbrella, while enabling real-time data flows across its merchandising, pricing, and invoicing systems. As part of this initiative, the company replaced legacy messaging queues, which lacked resiliency and frequently required manual intervention to resolve errors, with real-time event streams. This move coincided with the adoption of a cloud-first strategy that shifted operations away from aging data centers to the cloud.

In this webinar, Prabhu Chandrasekhar, Director of Data and Analytics at Advance, and Max Horgan, Account Executive at Confluent, share how Advance is using Confluent Cloud to implement event streaming and stream processing use cases that deliver immediate business value, including:

  • Real-time invoicing for a large commercial supplier
  • Dynamic pricing updates by store and location
  • Modernization of the company’s business-critical merchandising system

During the webinar, you will learn how Advance Auto Parts:

  • Started small with Confluent Cloud and scaled as needed while minimizing administrative overhead with a fully managed, cloud-native Kafka service
  • Integrated data from more than a dozen different sources through Kafka to the company’s ERP supply chain platform
  • Used stream processing and ksqlDB to filter events for specific customers and to enrich product data
  • Linked Kafka topics with Amazon S3 and Snowflake using Confluent Cloud sink connectors
  • Set the stage for continued improvements in operational efficiency and customer experience for years to come

Register today to learn more about how real-time event streaming with Confluent Cloud is helping to drive enterprise transformation at Advance and across the retail industry.


Max Horgan

Enterprise Account Executive

Prabhu Chandrasekhar

Director of Data and Analytics


Ressources supplémentaires

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices