Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more

Online Talk

Streaming Data Pipelines: Enabling an Enterprise Transformation with Real-Time Data at Advance Auto Parts

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 modern IT infrastructure powered by Confluent's data streaming platform.

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 streaming data pipelines. 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, Former Director of Data and Analytics at Advance, and Max Horgan, Account Executive at Confluent, share how Advance is using Confluent Cloud to implement real-time 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:

  • Uses Confluent's fully managed, cloud-native Kafka service to rapidly scale as needed while minimizing administrative overhead
  • Streams data from more than a dozen different sources through Confluent Cloud to the company’s ERP supply chain platform
  • Uses stream processing to filter events for specific customers and to enrich product data
  • Builds streaming data pipelines to Amazon S3 and Snowflake using Confluent Cloud sink connectors
  • Set the groundwork for continued improvements in operational efficiency and customer experience for years to come

Register today to learn more about how building streaming pipelines with stream processing on Confluent Cloud is helping to drive enterprise transformation at Advance and across the retail industry.


Max Horgan

Enterprise Account Executive

Prabhu Chandrasekhar

Former Director of Data and Analytics

Register Now

Additional Resources

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

Additional Resources

cc demo
kafka microservices